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Bhatt IS, Garay JAR, Torkamani A, Dias R. DNA Methylation Patterns Associated with Tinnitus in Young Adults-A Pilot Study. J Assoc Res Otolaryngol 2024:10.1007/s10162-024-00961-2. [PMID: 39147981 DOI: 10.1007/s10162-024-00961-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 07/31/2024] [Indexed: 08/17/2024] Open
Abstract
PURPOSE Tinnitus, the perception of sound without any external sound source, is a prevalent hearing health concern. Mounting evidence suggests that a confluence of genetic, environmental, and lifestyle factors can influence the pathogenesis of tinnitus. We hypothesized that alteration in DNA methylation, an epigenetic modification that occurs at cytosines of cytosine-phosphate-guanine (CpG) dinucleotide sites, where a methyl group from S-adenyl methionine gets transferred to the fifth carbon of the cytosine, could contribute to tinnitus. DNA methylation patterns are tissue-specific, but the tissues involved in tinnitus are not easily accessible in humans. This pilot study used saliva as a surrogate tissue to identify differentially methylated CpG regions (DMRs) associated with tinnitus. The study was conducted on healthy young adults reporting bilateral continuous chronic tinnitus to limit the influence of age-related confounding factors and health-related comorbidities. METHODS The present study evaluated the genome-wide methylation levels from saliva-derived DNA samples from 24 healthy young adults with bilateral continuous chronic tinnitus (> 1 year) and 24 age, sex, and ethnicity-matched controls with no tinnitus. Genome-wide DNA methylation was evaluated for > 850,000 CpG sites using the Infinium Human Methylation EPIC BeadChip. The association analysis used the Bumphunter algorithm on 23 cases and 20 controls meeting the quality control standards. The methylation level was expressed as the area under the curve of CpG sites within DMRs.The FDR-adjusted p-value threshold of 0.05 was used to identify statistically significant DMRs associated with tinnitus. RESULTS We obtained 25 differentially methylated regions (DMRs) associated with tinnitus. Genes within or in the proximity of the hypermethylated DMRs related to tinnitus included LCLAT1, RUNX1, RUFY1, NUDT12, TTC23, SLC43A2, C4orf27 (STPG2), and EFCAB4B. Genes within or in the proximity of hypomethylated DMRs associated with tinnitus included HLA-DPB2, PM20D1, TMEM18, SNTG2, MUC4, MIR886, MIR596, TXNRD1, EID3, SDHAP3, HLA-DPB2, LASS3 (CERS3), C10orf11 (LRMDA), HLA-DQB1, NADK, SZRD1, MFAP2, NUP210L, TPM3, INTS9, and SLC2A14. The burden of genetic variation could explain the differences in the methylation levels for DMRs involving HLA-DPB2, HLA-DQB1, and MUC4, indicating the need for replication in large independent cohorts. CONCLUSION Consistent with the literature on comorbidities associated with tinnitus, we identified genes within or close to DMRs involved in auditory functions, chemical dependency, cardiovascular diseases, psychiatric conditions, immune disorders, and metabolic syndromes. These results indicate that epigenetic mechanisms could influence tinnitus, and saliva can be a good surrogate for identifying the epigenetic underpinnings of tinnitus in humans. Further research with a larger sample size is needed to identify epigenetic biomarkers and investigate their influence on the phenotypic expression of tinnitus.
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Affiliation(s)
- Ishan Sunilkumar Bhatt
- Department of Communication Sciences & Disorders, University of Iowa, Iowa City, IA, 52242, USA.
| | - Juan Antonio Raygoza Garay
- Department of Communication Sciences & Disorders, University of Iowa, Iowa City, IA, 52242, USA
- Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, 52242, USA
| | - Ali Torkamani
- Department of Integrative Structural and Computational Biology, Scripps Science Institute, La Jolla, CA, 92037, USA
| | - Raquel Dias
- Department of Microbiology and Cell Science, University of Florida, Gainesville, FL, 32608, USA
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Annevelink CE, Westra J, Sala-Vila A, Harris WS, Tintle NL, Shearer GC. A Genome-Wide Interaction Study of Erythrocyte ω-3 Polyunsaturated Fatty Acid Species and Memory in the Framingham Heart Study Offspring Cohort. J Nutr 2024; 154:1640-1651. [PMID: 38141771 PMCID: PMC11347816 DOI: 10.1016/j.tjnut.2023.12.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 12/14/2023] [Accepted: 12/19/2023] [Indexed: 12/25/2023] Open
Abstract
BACKGROUND Cognitive decline, and more specifically Alzheimer's disease, continues to increase in prevalence globally, with few, if any, adequate preventative approaches. Several tests of cognition are utilized in the diagnosis of cognitive decline that assess executive function, short- and long-term memory, cognitive flexibility, and speech and motor control. Recent studies have separately investigated the genetic component of both cognitive health, using these measures, and circulating fatty acids. OBJECTIVES We aimed to examine the potential moderating effect of main species of ω-3 polyunsaturated fatty acids (PUFAs) on an individual's genetically conferred risk of cognitive decline. METHODS The Offspring cohort from the Framingham Heart Study was cross-sectionally analyzed in this genome-wide interaction study (GWIS). Our sample included all individuals with red blood cell ω-3 PUFA, genetic, cognitive testing (via Trail Making Tests [TMTs]), and covariate data (N = 1620). We used linear mixed effects models to predict each of the 3 cognitive measures (TMT A, TMT B, and TMT D) by each ω-3 PUFA, single nucleotide polymorphism (SNP) (0, 1, or 2 minor alleles), ω-3 PUFA by SNP interaction term, and adjusting for sex, age, education, APOE ε4 genotype status, and kinship (relatedness). RESULTS Our analysis identified 31 unique SNPs from 24 genes reaching an exploratory significance threshold of 1×10-5. Fourteen of the 24 genes have been previously associated with the brain/cognition, and 5 genes have been previously associated with circulating lipids. Importantly, 8 of the genes we identified, DAB1, SORCS2, SERINC5, OSBPL3, CPA6, DLG2, MUC19, and RGMA, have been associated with both cognition and circulating lipids. We identified 22 unique SNPs for which individuals with the minor alleles benefit substantially from increased ω-3 fatty acid concentrations and 9 unique SNPs for which the common homozygote benefits. CONCLUSIONS In this GWIS of ω-3 PUFA species on cognitive outcomes, we identified 8 unique genes with plausible biology suggesting individuals with specific polymorphisms may have greater potential to benefit from increased ω-3 PUFA intake. Additional replication in prospective settings with more diverse samples is needed.
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Affiliation(s)
- Carmen E Annevelink
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States
| | - Jason Westra
- Fatty Acid Research Institute (FARI), Sioux Falls, SD, United States
| | - Aleix Sala-Vila
- Fatty Acid Research Institute (FARI), Sioux Falls, SD, United States; Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - William S Harris
- Fatty Acid Research Institute (FARI), Sioux Falls, SD, United States; Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, United States
| | - Nathan L Tintle
- Fatty Acid Research Institute (FARI), Sioux Falls, SD, United States; Department of Population Health Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL, United States
| | - Gregory C Shearer
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States.
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Pase MP, Himali JJ, Puerta R, Beiser AS, Gonzales MM, Satizabal CL, Yang Q, Aparicio HJ, Kojis DJ, Decarli CS, Lopez OL, Longstreth W, Gudnason V, Mosley TH, Bis JC, Fohner A, Psaty BM, Boada M, García-González P, Valero S, Marquié M, Tracy R, Launer LJ, Ruiz A, Fornage M, Seshadri S. Association of Plasma YKL-40 With MRI, CSF, and Cognitive Markers of Brain Health and Dementia. Neurology 2024; 102:e208075. [PMID: 38290090 PMCID: PMC11383876 DOI: 10.1212/wnl.0000000000208075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/07/2023] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Higher YKL-40 levels in the CSF are a known biomarker of brain inflammation. We explored the utility of plasma YKL-40 as a biomarker for accelerated brain aging and dementia risk. METHODS We performed cross-sectional and prospective analyses of 4 community-based cohorts in the United States or Europe: the Age, Gene/Environment Susceptibility-Reykjavik Study, Atherosclerosis Risk in the Communities study, Coronary Artery Risk Development in Young Adults study, and Framingham Heart Study (FHS). YKL-40 was measured from stored plasma by a single laboratory using Mesoscale Discovery with levels log transformed and standardized within each cohort. Outcomes included MRI total brain volume, hippocampal volume, and white matter hyperintensity volume (WMHV) as a percentage of intracranial volume, a general cognitive composite derived from neuropsychological testing (SD units [SDU]), and the risk of incident dementia. We sought to replicate associations with dementia in the clinic-based ACE csf cohort, which also had YKL-40 measured from the CSF. RESULTS Meta-analyses of MRI outcomes included 6,558 dementia-free participants, and for analysis of cognition, 6,670. The blood draw preceded MRI/cognitive assessment by up to 10.6 years across cohorts. The mean ages ranged from 50 to 76 years, with 39%-48% male individuals. In random-effects meta-analysis of study estimates, each SDU increase in log-transformed YKL-40 levels was associated with smaller total brain volume (β = -0.33; 95% CI -0.45 to -0.22; p < 0.0001) and poorer cognition (β = -0.04; 95% CI -0.07 to -0.02; p < 0.01), following adjustments for demographic variables. YKL-40 levels did not associate with hippocampal volume or WMHV. In the FHS, each SDU increase in log YKL-40 levels was associated with a 64% increase in incident dementia risk over a median of 5.8 years of follow-up, following adjustments for demographic variables (hazard ratio 1.64; 95% CI 1.25-2.16; p < 0.001). In the ACE csf cohort, plasma and CSF YKL-40 were correlated (r = 0.31), and both were associated with conversion from mild cognitive impairment to dementia, independent of amyloid, tau, and neurodegeneration status. DISCUSSION Higher plasma YKL-40 levels were associated with lower brain volume, poorer cognition, and incident dementia. Plasma YKL-40 may be useful for studying the association of inflammation and its treatment on dementia risk.
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Affiliation(s)
- Matthew P Pase
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Jayandra J Himali
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Raquel Puerta
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Alexa S Beiser
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Mitzi M Gonzales
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Claudia L Satizabal
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Qiong Yang
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Hugo J Aparicio
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Daniel J Kojis
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Charles S Decarli
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Oscar L Lopez
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Will Longstreth
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Vilmundur Gudnason
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Thomas H Mosley
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Joshua C Bis
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Alison Fohner
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Bruce M Psaty
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Mercè Boada
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Pablo García-González
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Sergi Valero
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Marta Marquié
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Russell Tracy
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Lenore J Launer
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Agustín Ruiz
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Myriam Fornage
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Sudha Seshadri
- From the Turner Institute for Brain and Mental Health (M.P.P.), Monash University, Australia; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (J.J.H., M.M.G.), University of Texas Health Sciences Center, San Antonio; ACE Alzheimer Center (R.P., M.B., P.G.-G., S.V., M.M., A.R.), Barcelona, Spain; Boston University School of Public Health (A.S.B., D.J.K.), MA; University of Texas Health Sciences Center (C.L.S., S.S.), San Antonio; Department of Neurology (Q.Y., H.J.A.), Boston University School of Medicine, MA; Department of Neurology (C.S.D.), School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California at Davis; Department of Neurology (O.L.L.), School of Medicine, University of Pittsburgh, PA; University of Washington (W.L., B.M.P.), Seattle; Faculty of Medicine (V.G.), University of Iceland, Reykjavík; University of Mississippi Medical Center (T.H.M.), The MIND Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, and Department of Epidemiology (A.F.), University of Washington, Seattle; University of Vermont (R.T.), Burlington; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, NIH, Bethesda, MD; and University of Texas Health Science Center (M.F.), Houston. Matthew P. Pase is currently at the School of Psychological Sciences and the Turner Institute for Brain and Mental Health, Monash University, Australia
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Akinyemi RO, Tiwari HK, Srinivasasainagendra V, Akpa O, Sarfo FS, Akpalu A, Wahab K, Obiako R, Komolafe M, Owolabi L, Osaigbovo GO, Mamaeva OA, Halloran BA, Akinyemi J, Lackland D, Obiabo OY, Sunmonu T, Chukwuonye II, Arulogun O, Jenkins C, Adeoye A, Agunloye A, Ogah OS, Ogbole G, Fakunle A, Uvere E, Coker MM, Okekunle A, Asowata O, Diala S, Ogunronbi M, Adeleye O, Laryea R, Tagge R, Adeniyi S, Adusei N, Oguike W, Olowoyo P, Adebajo O, Olalere A, Oladele O, Yaria J, Fawale B, Ibinaye P, Oyinloye O, Mensah Y, Oladimeji O, Akpalu J, Calys-Tagoe B, Dambatta HA, Ogunniyi A, Kalaria R, Arnett D, Rotimi C, Ovbiagele B, Owolabi MO. Novel functional insights into ischemic stroke biology provided by the first genome-wide association study of stroke in indigenous Africans. Genome Med 2024; 16:25. [PMID: 38317187 PMCID: PMC10840175 DOI: 10.1186/s13073-023-01273-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 12/12/2023] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND African ancestry populations have the highest burden of stroke worldwide, yet the genetic basis of stroke in these populations is obscure. The Stroke Investigative Research and Educational Network (SIREN) is a multicenter study involving 16 sites in West Africa. We conducted the first-ever genome-wide association study (GWAS) of stroke in indigenous Africans. METHODS Cases were consecutively recruited consenting adults (aged > 18 years) with neuroimaging-confirmed ischemic stroke. Stroke-free controls were ascertained using a locally validated Questionnaire for Verifying Stroke-Free Status. DNA genotyping with the H3Africa array was performed, and following initial quality control, GWAS datasets were imputed into the NIH Trans-Omics for Precision Medicine (TOPMed) release2 from BioData Catalyst. Furthermore, we performed fine-mapping, trans-ethnic meta-analysis, and in silico functional characterization to identify likely causal variants with a functional interpretation. RESULTS We observed genome-wide significant (P-value < 5.0E-8) SNPs associations near AADACL2 and miRNA (MIR5186) genes in chromosome 3 after adjusting for hypertension, diabetes, dyslipidemia, and cardiac status in the base model as covariates. SNPs near the miRNA (MIR4458) gene in chromosome 5 were also associated with stroke (P-value < 1.0E-6). The putative genes near AADACL2, MIR5186, and MIR4458 genes were protective and novel. SNPs associations with stroke in chromosome 2 were more than 77 kb from the closest gene LINC01854 and SNPs in chromosome 7 were more than 116 kb to the closest gene LINC01446 (P-value < 1.0E-6). In addition, we observed SNPs in genes STXBP5-AS1 (chromosome 6), GALTN9 (chromosome 12), FANCA (chromosome 16), and DLGAP1 (chromosome 18) (P-value < 1.0E-6). Both genomic regions near genes AADACL2 and MIR4458 remained significant following fine mapping. CONCLUSIONS Our findings identify potential roles of regulatory miRNA, intergenic non-coding DNA, and intronic non-coding RNA in the biology of ischemic stroke. These findings reveal new molecular targets that promise to help close the current gaps in accurate African ancestry-based genetic stroke's risk prediction and development of new targeted interventions to prevent or treat stroke.
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Affiliation(s)
- Rufus O Akinyemi
- Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Hemant K Tiwari
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Onoja Akpa
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Fred S Sarfo
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Albert Akpalu
- Department of Medicine, University of Ghana Medical School, Accra, Ghana
| | - Kolawole Wahab
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | - Reginald Obiako
- Department of Medicine, Ahmadu Bello University, Zaria, Nigeria
| | - Morenikeji Komolafe
- Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria
| | - Lukman Owolabi
- Department of Medicine, Aminu Kano Teaching Hospital, Kano, Nigeria
| | | | - Olga A Mamaeva
- Department of Epidemiology, School of Public Health University of Alabama at Birmingham, Birmingham, USA
| | - Brian A Halloran
- Department of Pediatrics, Volker Hall University of Alabama at Birmingham, Birmingham, USA
| | - Joshua Akinyemi
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | | | - Olugbo Y Obiabo
- Delta State University/Delta State University Teaching Hospital, Oghara, Nigeria
| | - Taofik Sunmonu
- Department of Medicine, Federal Medical Centre, Ondo State, Owo, Nigeria
| | - Innocent I Chukwuonye
- Department of Medicine, Federal Medical Centre Umuahia, Abia State, Umuahia, Nigeria
| | - Oyedunni Arulogun
- Department of Health Education, Faculty of Public Health, University of Ibadan, Ibadan, Nigeria
| | | | - Abiodun Adeoye
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Atinuke Agunloye
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Okechukwu S Ogah
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Godwin Ogbole
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adekunle Fakunle
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Public Health, College of Health Sciences, Osun State University, Osogbo, Nigeria
| | - Ezinne Uvere
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Motunrayo M Coker
- Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Genetics and Cell Biology Unit, Department of Zoology, Faculty of Science, University of Ibadan, Ibadan, Nigeria
| | - Akinkunmi Okekunle
- Department of Food and Nutrition, Seoul National University, Seoul, South Korea
| | - Osahon Asowata
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Samuel Diala
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Mayowa Ogunronbi
- Department of Medicine, Federal Medical Centre, Abeokuta, Nigeria
| | - Osi Adeleye
- Department of Medicine, Federal Medical Centre, Abeokuta, Nigeria
| | - Ruth Laryea
- Department of Medicine, University of Ghana Medical School, Accra, Ghana
| | - Raelle Tagge
- Weill Institute for Neurosciences, School of Medicine, University of California San-Francisco, San Francisco, USA
| | - Sunday Adeniyi
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | - Nathaniel Adusei
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Wisdom Oguike
- Department of Medicine, Ahmadu Bello University, Zaria, Nigeria
| | - Paul Olowoyo
- Federal Teaching Hospital, Ido-Ekiti, Ekiti State, Nigeria
| | - Olayinka Adebajo
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Abimbola Olalere
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Olayinka Oladele
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Joseph Yaria
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Bimbo Fawale
- Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria
| | - Philip Ibinaye
- Department of Medicine, Ahmadu Bello University, Zaria, Nigeria
| | - Olalekan Oyinloye
- Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria
| | - Yaw Mensah
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Omotola Oladimeji
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Josephine Akpalu
- Department of Medicine, University of Ghana Medical School, Accra, Ghana
| | - Benedict Calys-Tagoe
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Adesola Ogunniyi
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Rajesh Kalaria
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Donna Arnett
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA
| | - Charles Rotimi
- Center for Genomics and Global Health, National Human Genome Research Institute, NIH, Bethesda, USA
| | - Bruce Ovbiagele
- Genetics and Cell Biology Unit, Department of Zoology, Faculty of Science, University of Ibadan, Ibadan, Nigeria
| | - Mayowa O Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria.
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria.
- University College Hospital, Ibadan, Nigeria.
- Lebanese American University of Beirut, Beirut, Lebanon.
- Blossom Specialist Medical Center, Ibadan, Nigeria.
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5
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Mei H, Simino J, Li L, Jiang F, Bis JC, Davies G, Hill WD, Xia C, Gudnason V, Yang Q, Lahti J, Smith JA, Kirin M, De Jager P, Armstrong NJ, Ghanbari M, Kolcic I, Moran C, Teumer A, Sargurupremraj M, Mahmud S, Fornage M, Zhao W, Satizabal CL, Polasek O, Räikkönen K, Liewald DC, Homuth G, Callisaya M, Mather KA, Windham BG, Zemunik T, Palotie A, Pattie A, van der Auwera S, Thalamuthu A, Knopman DS, Rudan I, Starr JM, Wittfeld K, Kochan NA, Griswold ME, Vitart V, Brodaty H, Gottesman R, Cox SR, Psaty BM, Boerwinkle E, Chasman DI, Grodstein F, Sachdev PS, Srikanth V, Hayward C, Wilson JF, Eriksson JG, Kardia SLR, Grabe HJ, Bennett DA, Ikram MA, Deary IJ, van Duijn CM, Launer L, Fitzpatrick AL, Seshadri S, Bressler J, Debette S, Mosley TH. Multi-omics and pathway analyses of genome-wide associations implicate regulation and immunity in verbal declarative memory performance. Alzheimers Res Ther 2024; 16:14. [PMID: 38245754 PMCID: PMC10799499 DOI: 10.1186/s13195-023-01376-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 12/26/2023] [Indexed: 01/22/2024]
Abstract
BACKGROUND Uncovering the functional relevance underlying verbal declarative memory (VDM) genome-wide association study (GWAS) results may facilitate the development of interventions to reduce age-related memory decline and dementia. METHODS We performed multi-omics and pathway enrichment analyses of paragraph (PAR-dr) and word list (WL-dr) delayed recall GWAS from 29,076 older non-demented individuals of European descent. We assessed the relationship between single-variant associations and expression quantitative trait loci (eQTLs) in 44 tissues and methylation quantitative trait loci (meQTLs) in the hippocampus. We determined the relationship between gene associations and transcript levels in 53 tissues, annotation as immune genes, and regulation by transcription factors (TFs) and microRNAs. To identify significant pathways, gene set enrichment was tested in each cohort and meta-analyzed across cohorts. Analyses of differential expression in brain tissues were conducted for pathway component genes. RESULTS The single-variant associations of VDM showed significant linkage disequilibrium (LD) with eQTLs across all tissues and meQTLs within the hippocampus. Stronger WL-dr gene associations correlated with reduced expression in four brain tissues, including the hippocampus. More robust PAR-dr and/or WL-dr gene associations were intricately linked with immunity and were influenced by 31 TFs and 2 microRNAs. Six pathways, including type I diabetes, exhibited significant associations with both PAR-dr and WL-dr. These pathways included fifteen MHC genes intricately linked to VDM performance, showing diverse expression patterns based on cognitive status in brain tissues. CONCLUSIONS VDM genetic associations influence expression regulation via eQTLs and meQTLs. The involvement of TFs, microRNAs, MHC genes, and immune-related pathways contributes to VDM performance in older individuals.
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Affiliation(s)
- Hao Mei
- Department of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA.
- Gertrude C. Ford Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, USA.
| | - Jeannette Simino
- Department of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA.
- Gertrude C. Ford Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, USA.
| | - Lianna Li
- Department of Biology, Tougaloo College, Jackson, MS, USA
| | - Fan Jiang
- Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Joshua C Bis
- Department of Medicine, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - Gail Davies
- Department of Psychology, Lothian Birth Cohorts Group, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - W David Hill
- Department of Psychology, Lothian Birth Cohorts Group, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Charley Xia
- Department of Psychology, Lothian Birth Cohorts Group, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Jari Lahti
- Turku Institute for Advanced Research, University of Turku, Turku, Finland
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Mirna Kirin
- Work completed while at The University of Edinburgh, Edinburgh, UK
| | - Philip De Jager
- Taub Institute for Research On Alzheimer's Disease and the Aging Brain, Columbia Irving University Medical Center, New York, NY, USA
- Center for Translational and Computational Neuro-Immunology, Columbia University Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | | | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus Medical Center University Medical Center, Rotterdam, The Netherlands
| | - Ivana Kolcic
- School of Medicine, University of Split, Split, Croatia
| | - Christopher Moran
- Department of Geriatric Medicine, Frankston Hospital, Peninsula Health, Melbourne, Australia
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Australia
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Murali Sargurupremraj
- Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, University of Bordeaux, Bordeaux, France
| | - Shamsed Mahmud
- Department of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA
| | - Myriam Fornage
- The Brown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Claudia L Satizabal
- The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Ozren Polasek
- School of Medicine, University of Split, Split, Croatia
- Algebra University College, Ilica 242, Zagreb, Croatia
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - David C Liewald
- Department of Psychology, Lothian Birth Cohorts Group, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Michele Callisaya
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
| | - B Gwen Windham
- Gertrude C. Ford Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Medicine, Division of Geriatrics, School of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | | | - Aarno Palotie
- Department of Medicine, Department of Neurology and Department of Psychiatry, Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- The Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alison Pattie
- Department of Psychology, Lothian Birth Cohorts Group, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Sandra van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
| | | | - Igor Rudan
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - John M Starr
- Department of Psychology, Lothian Birth Cohorts Group, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/ Greifswald, Rostock, Germany
| | - Nicole A Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Michael E Griswold
- Gertrude C. Ford Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Medicine, School of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Dementia Centre for Research Collaboration, University of New South Wales, Sydney, NSW, Australia
| | - Rebecca Gottesman
- Stroke, Cognition, and Neuroepidemiology (SCAN) Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Simon R Cox
- Department of Psychology, Lothian Birth Cohorts Group, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Bruce M Psaty
- Department of Medicine, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Daniel I Chasman
- Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Francine Grodstein
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
| | - Velandai Srikanth
- Department of Geriatric Medicine, Frankston Hospital, Peninsula Health, Melbourne, Australia
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - James F Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Public Health Solutions, Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
- Folkhälsan Research Centre, Helsinki, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/ Greifswald, Rostock, Germany
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center University Medical Center, Rotterdam, The Netherlands
| | - Ian J Deary
- Department of Psychology, Lothian Birth Cohorts Group, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Cornelia M van Duijn
- Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, UK
| | - Lenore Launer
- Laboratory of Epidemiology and Population Sciences, National Institute On Aging, Bethesda, MD, USA
| | - Annette L Fitzpatrick
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Family Medicine, University of Washington, Seattle, WA, USA
| | - Sudha Seshadri
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Jan Bressler
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Stephanie Debette
- Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, University of Bordeaux, Bordeaux, France
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Neurology, CHU de Bordeaux, Bordeaux, France
| | - Thomas H Mosley
- Gertrude C. Ford Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Medicine, School of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Neurology, University of Mississippi Medical Center, Jackson, MS, USA
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6
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De Marco M, Wright LM, Valera Bermejo JM, Ferguson CE. APOE ε4 positivity predicts centrality of episodic memory nodes in patients with mild cognitive impairment: A cohort-based, graph theory-informed study of cognitive networks. Neuropsychologia 2024; 192:108741. [PMID: 38040087 DOI: 10.1016/j.neuropsychologia.2023.108741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 11/12/2023] [Accepted: 11/23/2023] [Indexed: 12/03/2023]
Abstract
As network neuroscience can capture the systemic impact of APOE variability at a neuroimaging level, this study investigated the network-based cognitive endophenotypes of ε4-carriers and non-carriers across the continuum between normal ageing and Alzheimer's dementia (AD). We hypothesised that the impact of APOE-ε4 on cognitive functioning can be reliably captured by the measurement of graph-theory centrality. Cognitive networks were calculated in 8118 controls, 3482 MCI patients and 4573 AD patients, recruited in the National Alzheimer's Coordinating Center (NACC) database. Nodal centrality was selected as the neurofunctional readout of interest. ε4-carrier-vs.-non-carrier differences were tested in two independent NACC sub-cohorts assessed with either Version 1 or Version 2 of the Uniform Data Set neuropsychological battery. A significant APOE-dependent effect emerged from the analysis of the Logical-Memory nodes in MCI patients in both sub-cohorts. While non-carriers showed equal centrality in immediate and delayed recall, the latter was significantly less central among carriers (v1: bootstrapped confidence interval 0.107-0.667, p < 0.001; v2: bootstrapped confidence interval 0.018-0.432, p < 0.001). This indicates that, in carriers, delayed recall was, overall, significantly more weakly correlated with the other cognitive scores. These findings were replicated in the sub-groups of sole amnestic-MCI patients (n = 2971), were independent of differences in network communities, clinical severity or other demographic factors. No effects were found in the other two diagnostic groups. APOE-ε4 influences nodal properties of cognitive networks when patients are clinically classified as MCI. This highlights the importance of characterising the impact of risk factors on the wider cognitive network via network-neuroscience methodologies.
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Affiliation(s)
- Matteo De Marco
- Department of Life Sciences, Brunel University London, Uxbridge, United Kingdom.
| | - Laura M Wright
- Translational and Clinical Research Institute, Newcastle University, Newcastle-Upon-Tyne, United Kingdom
| | - Jose Manuel Valera Bermejo
- Institute of Psychiatry, Psychology & Neuroscience; Department of Neuroimaging; King's College London; London, United Kingdom.
| | - Cameron E Ferguson
- School of Psychological Science, University of Bristol, Bristol, United Kingdom
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7
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Avgan N, Sutherland HG, Lea RA, Haupt LM, Shum DHK, Griffiths LR. Association Study of a Comprehensive Panel of Neuropeptide-Related Polymorphisms Suggest Potential Roles in Verbal Learning and Memory. Genes (Basel) 2023; 15:30. [PMID: 38254919 PMCID: PMC10815468 DOI: 10.3390/genes15010030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/16/2023] [Accepted: 12/21/2023] [Indexed: 01/24/2024] Open
Abstract
Neuropeptides are mostly expressed in regions of the brain responsible for learning and memory and are centrally involved in cognitive pathways. The majority of neuropeptide research has been performed in animal models; with acknowledged differences between species, more research into the role of neuropeptides in humans is necessary to understand their contribution to higher cognitive function. In this study, we investigated the influence of genetic polymorphisms in neuropeptide genes on verbal learning and memory. Variants in genes encoding neuropeptides and neuropeptide receptors were tested for association with learning and memory measures using the Hopkins Verbal Learning Test-Revised (HVLT-R) in a healthy cohort of individuals (n = 597). The HVLT-R is a widely used task for verbal learning and memory assessment and provides five sub-scores: recall, delay, learning, retention, and discrimination. To determine the effect of candidate variants on learning and memory performance, genetic association analyses were performed for each HVLT-R sub-score with over 1300 genetic variants from 124 neuropeptide and neuropeptide receptor genes, genotyped on Illumina OmniExpress BeadChip arrays. This targeted analysis revealed numerous suggestive associations between HVLT-R test scores and neuropeptide and neuropeptide receptor gene variants; candidates include the SCG5, IGFR1, GALR1, OXTR, CCK, and VIPR1 genes. Further characterization of these genes and their variants will improve our understanding of the genetic contribution to learning and memory and provide insight into the importance of the neuropeptide network in humans.
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Affiliation(s)
- Nesli Avgan
- Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia; (N.A.); (H.G.S.); (R.A.L.)
| | - Heidi G. Sutherland
- Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia; (N.A.); (H.G.S.); (R.A.L.)
| | - Rod A. Lea
- Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia; (N.A.); (H.G.S.); (R.A.L.)
| | - Larisa M. Haupt
- Stem Cell and Neurogenesis Group, Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia;
- Centre for Biomedical Technologies, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia
- ARC Training Centre for Cell and Tissue Engineering Technologies, Queensland University of Technology (QUT), Kelvin Grove, QLD 4059, Australia
- Max Planck Queensland Centre for the Materials Science of Extracellular Matrices, Queensland University of Technology (QUT), Kelvin Grove, QLD 4059, Australia
| | - David H. K. Shum
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China;
| | - Lyn R. Griffiths
- Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia; (N.A.); (H.G.S.); (R.A.L.)
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8
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Li D, Farrell JJ, Mez J, Martin ER, Bush WS, Ruiz A, Boada M, de Rojas I, Mayeux R, Haines JL, Vance MAP, Wang LS, Schellenberg GD, Lunetta KL, Farrer LA. Novel loci for Alzheimer's disease identified by a genome-wide association study in Ashkenazi Jews. Alzheimers Dement 2023; 19:5550-5562. [PMID: 37260021 PMCID: PMC10689571 DOI: 10.1002/alz.13117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/29/2023] [Accepted: 04/11/2023] [Indexed: 06/02/2023]
Abstract
INTRODUCTION Most Alzheimer's disease (AD) loci have been discovered in individuals with European ancestry (EA). METHODS We applied principal component analysis using Gaussian mixture models and an Ashkenazi Jewish (AJ) reference genome-wide association study (GWAS) data set to identify Ashkenazi Jews ascertained in GWAS (n = 42,682), whole genome sequencing (WGS, n = 16,815), and whole exome sequencing (WES, n = 20,504) data sets. The association of AD was tested genome wide (GW) in the GWAS and WGS data sets and exome wide (EW) in all three data sets (EW). Gene-based analyses were performed using aggregated rare variants. RESULTS In addition to apolipoprotein E (APOE), GW analyses (1355 cases and 1661 controls) revealed associations with TREM2 R47H (p = 9.66 × 10-9 ), rs541586606 near RAB3B (p = 5.01 × 10-8 ), and rs760573036 between SPOCK3 and ANXA10 (p = 6.32 × 10-8 ). In EW analyses (1504 cases and 2047 controls), study-wide significant association was observed with rs1003710 near SMAP2 (p = 1.91 × 10-7 ). A significant gene-based association was identified with GIPR (p = 7.34 × 10-7 ). DISCUSSION Our results highlight the efficacy of founder populations for AD genetic studies.
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Affiliation(s)
- Donghe Li
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - John J Farrell
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Jesse Mez
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Eden R. Martin
- Dr. John T. Macdonald Foundation, University of Miami, Miami, FL 33136, USA
- Department of Human Genetics, University of Miami, Miami, FL 33136, USA
| | - William S. Bush
- Department of Population & Quantitative Health Science and Cleveland Institute for Computational Biology, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, USA
| | - Agustin Ruiz
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Mercè Boada
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Itziar de Rojas
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Richard Mayeux
- Taub Institute on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center Department of Neurology, Columbia University, 710 West 168th Street, New York, NY 10032, USA
| | - Jonathan L. Haines
- Department of Population & Quantitative Health Science and Cleveland Institute for Computational Biology, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, USA
| | - Margaret A. Pericak Vance
- Dr. John T. Macdonald Foundation, University of Miami, Miami, FL 33136, USA
- Department of Human Genetics, University of Miami, Miami, FL 33136, USA
- Department of Neurology, University of Miami, Miami, FL 33136, USA
| | - Li-San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Gerard D. Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Kathryn L. Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Lindsay A. Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
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9
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Kang M, Ang TFA, Devine SA, Sherva R, Mukherjee S, Trittschuh EH, Gibbons LE, Scollard P, Lee M, Choi SE, Klinedinst B, Nakano C, Dumitrescu LC, Durant A, Hohman TJ, Cuccaro ML, Saykin AJ, Kukull WA, Bennett DA, Wang LS, Mayeux RP, Haines JL, Pericak-Vance MA, Schellenberg GD, Crane PK, Au R, Lunetta KL, Mez JB, Farrer LA. A genome-wide search for pleiotropy in more than 100,000 harmonized longitudinal cognitive domain scores. Mol Neurodegener 2023; 18:40. [PMID: 37349795 PMCID: PMC10286470 DOI: 10.1186/s13024-023-00633-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 06/06/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND More than 75 common variant loci account for only a portion of the heritability for Alzheimer's disease (AD). A more complete understanding of the genetic basis of AD can be deduced by exploring associations with AD-related endophenotypes. METHODS We conducted genome-wide scans for cognitive domain performance using harmonized and co-calibrated scores derived by confirmatory factor analyses for executive function, language, and memory. We analyzed 103,796 longitudinal observations from 23,066 members of community-based (FHS, ACT, and ROSMAP) and clinic-based (ADRCs and ADNI) cohorts using generalized linear mixed models including terms for SNP, age, SNP × age interaction, sex, education, and five ancestry principal components. Significance was determined based on a joint test of the SNP's main effect and interaction with age. Results across datasets were combined using inverse-variance meta-analysis. Genome-wide tests of pleiotropy for each domain pair as the outcome were performed using PLACO software. RESULTS Individual domain and pleiotropy analyses revealed genome-wide significant (GWS) associations with five established loci for AD and AD-related disorders (BIN1, CR1, GRN, MS4A6A, and APOE) and eight novel loci. ULK2 was associated with executive function in the community-based cohorts (rs157405, P = 2.19 × 10-9). GWS associations for language were identified with CDK14 in the clinic-based cohorts (rs705353, P = 1.73 × 10-8) and LINC02712 in the total sample (rs145012974, P = 3.66 × 10-8). GRN (rs5848, P = 4.21 × 10-8) and PURG (rs117523305, P = 1.73 × 10-8) were associated with memory in the total and community-based cohorts, respectively. GWS pleiotropy was observed for language and memory with LOC107984373 (rs73005629, P = 3.12 × 10-8) in the clinic-based cohorts, and with NCALD (rs56162098, P = 1.23 × 10-9) and PTPRD (rs145989094, P = 8.34 × 10-9) in the community-based cohorts. GWS pleiotropy was also found for executive function and memory with OSGIN1 (rs12447050, P = 4.09 × 10-8) and PTPRD (rs145989094, P = 3.85 × 10-8) in the community-based cohorts. Functional studies have previously linked AD to ULK2, NCALD, and PTPRD. CONCLUSION Our results provide some insight into biological pathways underlying processes leading to domain-specific cognitive impairment and AD, as well as a conduit toward a syndrome-specific precision medicine approach to AD. Increasing the number of participants with harmonized cognitive domain scores will enhance the discovery of additional genetic factors of cognitive decline leading to AD and related dementias.
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Affiliation(s)
- Moonil Kang
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street E200, Boston, MA 02118 USA
| | - Ting Fang Alvin Ang
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Slone Epidemiology Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
| | - Sherral A. Devine
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
| | - Richard Sherva
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street E200, Boston, MA 02118 USA
| | - Shubhabrata Mukherjee
- Department of Medicine, University of Washington School of Medicine, Seattle, WA USA
| | - Emily H. Trittschuh
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA USA
| | - Laura E. Gibbons
- Department of Medicine, University of Washington School of Medicine, Seattle, WA USA
| | - Phoebe Scollard
- Department of Medicine, University of Washington School of Medicine, Seattle, WA USA
| | - Michael Lee
- Department of Medicine, University of Washington School of Medicine, Seattle, WA USA
| | - Seo-Eun Choi
- Department of Medicine, University of Washington School of Medicine, Seattle, WA USA
| | - Brandon Klinedinst
- Department of Medicine, University of Washington School of Medicine, Seattle, WA USA
| | - Connie Nakano
- Department of Medicine, University of Washington School of Medicine, Seattle, WA USA
| | - Logan C. Dumitrescu
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
| | - Alaina Durant
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
| | - Timothy J. Hohman
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
| | - Michael L. Cuccaro
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, Miami, FL USA
| | - Andrew J. Saykin
- Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN USA
- Department of Radiology and Imaging Services, Indiana University School of Medicine, Indianapolis, IN USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN USA
| | - Walter A. Kukull
- Department of Epidemiology, University of Washington, Seattle, WA USA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL USA
| | - Li-San Wang
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA
| | - Richard P. Mayeux
- Department of Neurology, Columbia University School of Medicine, New York, NY USA
| | - Jonathan L. Haines
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH USA
| | | | - Gerard D. Schellenberg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA
| | - Paul K. Crane
- Department of Medicine, University of Washington School of Medicine, Seattle, WA USA
| | - Rhoda Au
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Slone Epidemiology Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Boston University Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA USA
| | - Kathryn L. Lunetta
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA USA
| | - Jesse B. Mez
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Boston University Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
| | - Lindsay A. Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street E200, Boston, MA 02118 USA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Boston University Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA
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10
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Puech C, Badran M, Runion AR, Barrow MB, Cataldo K, Gozal D. Cognitive Impairments, Neuroinflammation and Blood-Brain Barrier Permeability in Mice Exposed to Chronic Sleep Fragmentation during the Daylight Period. Int J Mol Sci 2023; 24:9880. [PMID: 37373028 DOI: 10.3390/ijms24129880] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/06/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023] Open
Abstract
Obstructive sleep apnea (OSA) is a chronic condition characterized by intermittent hypoxia (IH) and sleep fragmentation (SF). In murine models, chronic SF can impair endothelial function and induce cognitive declines. These deficits are likely mediated, at least in part, by alterations in Blood-brain barrier (BBB) integrity. Male C57Bl/6J mice were randomly assigned to SF or sleep control (SC) conditions for 4 or 9 weeks and in a subset 2 or 6 weeks of normal sleep recovery. The presence of inflammation and microglia activation were evaluated. Explicit memory function was assessed with the novel object recognition (NOR) test, while BBB permeability was determined by systemic dextran-4kDA-FITC injection and Claudin 5 expression. SF exposures resulted in decreased NOR performance and in increased inflammatory markers and microglial activation, as well as enhanced BBB permeability. Explicit memory and BBB permeability were significantly associated. BBB permeability remained elevated after 2 weeks of sleep recovery (p < 0.01) and returned to baseline values only after 6 weeks. Chronic SF exposures mimicking the fragmentation of sleep that characterizes patients with OSA elicits evidence of inflammation in brain regions and explicit memory impairments in mice. Similarly, SF is also associated with increased BBB permeability, the magnitude of which is closely associated with cognitive functional losses. Despite the normalization of sleep patterns, BBB functional recovery is a protracted process that merits further investigation.
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Affiliation(s)
- Clementine Puech
- Child Health Research Institute, Department of Child Health, School of Medicine, University of Missouri, 400 N Keene St., Suite 010, Columbia, MO 65201, USA
| | - Mohammad Badran
- Child Health Research Institute, Department of Child Health, School of Medicine, University of Missouri, 400 N Keene St., Suite 010, Columbia, MO 65201, USA
| | - Alexandra R Runion
- Undergraduate Student Research Program, University of Missouri, Columbia, MO 65201, USA
| | - Max B Barrow
- Child Health Research Institute, Department of Child Health, School of Medicine, University of Missouri, 400 N Keene St., Suite 010, Columbia, MO 65201, USA
| | - Kylie Cataldo
- Child Health Research Institute, Department of Child Health, School of Medicine, University of Missouri, 400 N Keene St., Suite 010, Columbia, MO 65201, USA
| | - David Gozal
- Child Health Research Institute, Department of Child Health, School of Medicine, University of Missouri, 400 N Keene St., Suite 010, Columbia, MO 65201, USA
- Department of Medical Pharmacology and Physiology, School of Medicine, University of Missouri, Columbia, MO 65201, USA
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11
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Cadoret A, Dion-Albert L, Amrani S, Caron L, Théberge M, Turmel A, Lebel M, Menard C. Environmental conditions of recognition memory testing induce neurovascular changes in the hippocampus in a sex-specific manner in mice. Behav Brain Res 2023; 448:114443. [PMID: 37088405 DOI: 10.1016/j.bbr.2023.114443] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 04/03/2023] [Accepted: 04/20/2023] [Indexed: 04/25/2023]
Abstract
Experiences are linked to emotions impacting memory consolidation and associated brain neuronal circuits. Posttraumatic stress disorder is an example of strong negative emotions affecting memory processes by flashbacks of past traumas. Stress-related memory deficits are also observed in major depressive disorder (MDD). We recently highlighted that sex-specific blood-brain barrier (BBB) alterations underlie stress responses in mice and human depression. However, little is known about the relationship between emotional valence, memory encoding and BBB gene expression. Here, we investigated the effects of novel object recognition (NOR) test, an experience considered of neutral emotional valence, on BBB properties in dorsal vs ventral hippocampus (HIPP) in the context of various environmental conditions (arena size, handling, age). The HIPP is a brain area central for learning and memory processes with the dorsal and ventral subregions being associated with working memory vs reference memory retrieval, respectively. Expression of genes related to BBB integrity are altered in line with learning and memory processes in a region- and sex-specific manner. We observed correlations between poor learning, anxiety, stress-induced corticosterone release and changes in BBB-associated gene expression. Comparison of BBB transcriptomes between sexes also revealed profound differences at baseline in both ventral and dorsal HIPP. Finally, we identified circulating vascular biomarkers, such as sE-selectin and matrix metallopeptidase 9 (MMP-9), altered following NOR exposure supporting that recognition memory formation has an impact on the neurovasculature. Although deemed as a neutral valence test, NOR experimental conditions can shift it toward a negative valence, impacting performance and highlighting the need to minimize anxiety when performing this commonly used test in mice.
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Affiliation(s)
- Alice Cadoret
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada, G1E 1T2
| | - Laurence Dion-Albert
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada, G1E 1T2
| | - Sara Amrani
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada, G1E 1T2
| | - Laurianne Caron
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada, G1E 1T2
| | - Mathilde Théberge
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada, G1E 1T2
| | - Audrey Turmel
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada, G1E 1T2
| | - Manon Lebel
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada, G1E 1T2
| | - Caroline Menard
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada, G1E 1T2.
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12
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Dion-Albert L, Dudek KA, Russo SJ, Campbell M, Menard C. Neurovascular adaptations modulating cognition, mood, and stress responses. Trends Neurosci 2023; 46:276-292. [PMID: 36805768 DOI: 10.1016/j.tins.2023.01.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 01/11/2023] [Accepted: 01/25/2023] [Indexed: 02/19/2023]
Abstract
The neurovascular unit (NVU) is a dynamic center for substance exchange between the blood and the brain, making it an essential gatekeeper for central nervous system (CNS) homeostasis. Recent evidence supports a role for the NVU in modulating brain function and cognition. In addition, alterations in NVU processes are observed in response to stress, although the mechanisms via which they can affect mood and cognitive functions remain elusive. Here, we summarize recent studies of neurovascular regulation of emotional processes and cognitive function, including under stressful conditions. We also highlight relevant RNA-sequencing (RNA-seq) databases aiming to profile the NVU along with innovative tools to study and manipulate NVU function that can be exploited in the context of cognition and stress research throughout development, aging, or brain disorders.
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Affiliation(s)
- Laurence Dion-Albert
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, QC, Canada
| | - Katarzyna A Dudek
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, QC, Canada
| | - Scott J Russo
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai and Center for Affective Neuroscience, 1 Gustave L Levy Place, New York, NY, USA
| | - Matthew Campbell
- Smurfit Institute of Genetics, Trinity College Dublin, Lincoln Place Gate, Dublin 2, Ireland
| | - Caroline Menard
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, QC, Canada.
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13
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Xu Y, Hiyoshi A, Fall K, Montgomery S. Systemic inflammation measured by erythrocyte sedimentation rate and cognitive function among young men in Sweden: A within-sibling analysis. Sci Prog 2023; 106:368504221145541. [PMID: 36718517 PMCID: PMC10450265 DOI: 10.1177/00368504221145541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
This study assesses the extent to which the association between erythrocyte sedimentation rate, a marker of inflammation, and cognitive function is explained by shared familial factors using within-sibling analyses. Men who were born in Sweden between 1950 and 1965 and recorded in the Swedish Military Conscription Register between 1969 and 1983 were included (N = 632,396). Erythrocyte sedimentation rate and cognitive function were measured at the conscription assessment (median age = 18.3 years, with a range from 15.5 to 28.5 years). Conventional linear regression and multilevel linear regression with a hybrid modeling approach were used, with the latter to obtain within-effect estimation in which unmeasured familial confounding shared by siblings was controlled for. We found that the association between erythrocyte sedimentation rate and cognitive function at conscription assessment was partly accounted for by, but remained independent of, shared familial factors.
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Affiliation(s)
- Yin Xu
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Sociology and Psychology, School of Public Administration, Sichuan University, Chengdu, China
| | - Ayako Hiyoshi
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Public Health Sciences, Stockholm University, Stockholm, Sweden
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Katja Fall
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Scott Montgomery
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Epidemiology and Public Health, University College London, London, UK
- Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
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14
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Lahti J, Tuominen S, Yang Q, Pergola G, Ahmad S, Amin N, Armstrong NJ, Beiser A, Bey K, Bis JC, Boerwinkle E, Bressler J, Campbell A, Campbell H, Chen Q, Corley J, Cox SR, Davies G, De Jager PL, Derks EM, Faul JD, Fitzpatrick AL, Fohner AE, Ford I, Fornage M, Gerring Z, Grabe HJ, Grodstein F, Gudnason V, Simonsick E, Holliday EG, Joshi PK, Kajantie E, Kaprio J, Karell P, Kleineidam L, Knol MJ, Kochan NA, Kwok JB, Leber M, Lam M, Lee T, Li S, Loukola A, Luck T, Marioni RE, Mather KA, Medland S, Mirza SS, Nalls MA, Nho K, O'Donnell A, Oldmeadow C, Painter J, Pattie A, Reppermund S, Risacher SL, Rose RJ, Sadashivaiah V, Scholz M, Satizabal CL, Schofield PW, Schraut KE, Scott RJ, Simino J, Smith AV, Smith JA, Stott DJ, Surakka I, Teumer A, Thalamuthu A, Trompet S, Turner ST, van der Lee SJ, Villringer A, Völker U, Wilson RS, Wittfeld K, Vuoksimaa E, Xia R, Yaffe K, Yu L, Zare H, Zhao W, Ames D, Attia J, Bennett DA, Brodaty H, Chasman DI, Goldman AL, Hayward C, Ikram MA, Jukema JW, Kardia SLR, Lencz T, Loeffler M, Mattay VS, Palotie A, Psaty BM, Ramirez A, Ridker PM, Riedel-Heller SG, Sachdev PS, Saykin AJ, Scherer M, Schofield PR, Sidney S, Starr JM, Trollor J, Ulrich W, Wagner M, Weir DR, Wilson JF, Wright MJ, Weinberger DR, Debette S, Eriksson JG, Mosley TH, Launer LJ, van Duijn CM, Deary IJ, Seshadri S, Räikkönen K. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. Mol Psychiatry 2022; 27:4419-4431. [PMID: 35974141 PMCID: PMC9734053 DOI: 10.1038/s41380-022-01710-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 07/11/2022] [Accepted: 07/13/2022] [Indexed: 12/14/2022]
Abstract
Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.
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Affiliation(s)
- Jari Lahti
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland.
- Turku Institute of Advanced Studies, University of Turku, Turku, Finland.
| | - Samuli Tuominen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Qiong Yang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Giulio Pergola
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
- Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Nicola J Armstrong
- Department of Mathematics and Statistics, Murdoch University, Murdoch, WA, Australia
| | - Alexa Beiser
- Department of Biostatistics, Boston University, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Katharina Bey
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Jan Bressler
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Qiang Chen
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - Janie Corley
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Simon R Cox
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Gail Davies
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Columbia University Medical Center, New York, NY, USA
| | - Eske M Derks
- Translational Neurogenomics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Annette L Fitzpatrick
- Department of Family Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Alison E Fohner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Institute of Public Health Genetics, University of Washington, Seattle, WA, USA
| | - Ian Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - Myriam Fornage
- McGovern Medical School, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Zachary Gerring
- Translational Neurogenomics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases, Greifswald, Germany
| | - Francine Grodstein
- Channing Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Harvard School of Public Health, Boston, MA, USA
| | - Vilmundur Gudnason
- Icelandic Heart Assocation, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Eleanor Simonsick
- Translational Gerontology Branch, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
| | - Elizabeth G Holliday
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- Institute of Social and Preventive Medicine, University of Lausanne, Lausanne, Switzerland
| | - Eero Kajantie
- National Institute for Health and Welfare, Helsinki and Oulu, Oulu, Finland
- Hospital for Children and Adolescents, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Pauliina Karell
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Luca Kleineidam
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Maria J Knol
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Nicole A Kochan
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - John B Kwok
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Markus Leber
- Department of Psychiatry, University of Cologne, Cologne, Germany
| | - Max Lam
- Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Teresa Lee
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Shuo Li
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Anu Loukola
- Helsinki Biobank, University of Helsinki Central Hospital, Helsinki, Finland
| | - Tobias Luck
- Department of Economic and Social Sciences & Institute of Social Medicine, Rehabilitation Sciences and Healthcare Research, University of Applied Sciences Nordhausen, Nordhausen, Germany
- University of Leipzig, Leipzig, Germany
- LIFE Leipzig Research Center for Civilization Diseases, Leipzig, Germany
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Karen A Mather
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
- Sunnybrook Health Sciences Centre, University of Toronto, Randwick, NSW, Australia
| | - Sarah Medland
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Saira S Mirza
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
- Data Tecnica International, Glen Echo, MD, USA
| | - Kwangsik Nho
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Adrienne O'Donnell
- Department of Biostatistics, Boston University, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Christopher Oldmeadow
- Clinical Research Design, IT and Statistical Support Unit, Hunter Medical Research Institute, New Lambton, NSW, Australia
| | - Jodie Painter
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Alison Pattie
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Simone Reppermund
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Shannon L Risacher
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Richard J Rose
- Department of Psychological & Brain Sciences, Indiana University Bloomington, Bloomington, IN, USA
| | - Vijay Sadashivaiah
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Claudia L Satizabal
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Peter W Schofield
- Neuropsychiatry Service, Hunter New England Local Health District, Charlestown, NSW, Australia
| | - Katharina E Schraut
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- Centre for Cardiovascular Sciences, Queen's Medical Research Institute, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh, UK
| | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton, NSW, Australia
| | - Jeannette Simino
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Albert V Smith
- Icelandic Heart Assocation, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
- Institute of Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA
| | - David J Stott
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Ida Surakka
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Stella Trompet
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Stephen T Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | - Sven J van der Lee
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands
| | - Arno Villringer
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Day Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, Department Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Robert S Wilson
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases, Greifswald, Germany
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Rui Xia
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kristine Yaffe
- Department of Psychiatry, University of California, San Francisco, CA, USA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Habil Zare
- Department of Cell Systems & Anatomy, The University of Texas Health Science Center, San Antonio, TX, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas, San Antonio, TX, USA
- University of Texas Health Sciences Center, Houston, NA, US
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - David Ames
- National Ageing Research Institute, Parkville, Melbourne, VIC, Australia
- University of Melbourne, Academic Unit for Psychiatry of Old Age, St George's Hospital, Melbourne, VIC, Australia
| | - John Attia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Clinical Research Design, IT and Statistical Support Unit, Hunter Medical Research Institute, New Lambton, NSW, Australia
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
- Dementia Collaborative Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Aaron L Goldman
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Todd Lencz
- Hofstra Northwell School of Medicine, Hempstead, NY, USA
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Venkata S Mattay
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
- Food and Drug Administration, Washington, DC, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Department of Medicine, Department of Neurology and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- The Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology and Department of Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Heath Research Institute, Seattle, WA, USA
| | - Alfredo Ramirez
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
- Department of Psychiatry, University of Cologne, Cologne, Germany
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Andrew J Saykin
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Martin Scherer
- Institute of Primary Medical Care, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter R Schofield
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Randwick, NSW, Australia
| | - Stephen Sidney
- Kaiser Permanente Northern California, Division of Research, Oakland, CA, USA
| | - John M Starr
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Julian Trollor
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - William Ulrich
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - Michael Wagner
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - James F Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Margaret J Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stephanie Debette
- Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, University of Bordeaux, Bordeaux, France
- Bordeaux University Hospital (CHU Bordeaux), Department of Neurology, Bordeaux, France
| | - Johan G Eriksson
- Folkhälsan Research Center, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, and Helsinki University Hospital, University of Helsinki, Helsinki, Finland
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Helsinki, Singapore
| | - Thomas H Mosley
- Department of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Public Health, Oxford University, Oxford, UK
| | - Ian J Deary
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Sudha Seshadri
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Katri Räikkönen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
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15
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Li H, Wei M, Ye T, Liu Y, Qi D, Cheng X. Identification of the molecular subgroups in Alzheimer's disease by transcriptomic data. Front Neurol 2022; 13:901179. [PMID: 36204002 PMCID: PMC9530954 DOI: 10.3389/fneur.2022.901179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundAlzheimer's disease (AD) is a heterogeneous pathological disease with genetic background accompanied by aging. This inconsistency is present among molecular subtypes, which has led to diagnostic ambiguity and failure in drug development. We precisely distinguished patients of AD at the transcriptome level.MethodsWe collected 1,240 AD brain tissue samples collected from the GEO dataset. Consensus clustering was used to identify molecular subtypes, and the clinical characteristics were focused on. To reveal transcriptome differences among subgroups, we certificated specific upregulated genes and annotated the biological function. According to RANK METRIC SCORE in GSEA, TOP10 was defined as the hub gene. In addition, the systematic correlation between the hub gene and “A/T/N” was analyzed. Finally, we used external data sets to verify the diagnostic value of hub genes.ResultsWe identified three molecular subtypes of AD from 743 AD samples, among which subtypes I and III had high-risk factors, and subtype II had protective factors. All three subgroups had higher neuritis plaque density, and subgroups I and III had higher clinical dementia scores and neurofibrillary tangles than subgroup II. Our results confirmed a positive association between neurofibrillary tangles and dementia, but not neuritis plaques. Subgroup I genes clustered in viral infection, hypoxia injury, and angiogenesis. Subgroup II showed heterogeneity in synaptic pathology, and we found several essential beneficial synaptic proteins. Due to presenilin one amplification, Subgroup III was a risk subgroup suspected of familial AD, involving abnormal neurogenic signals, glial cell differentiation, and proliferation. Among the three subgroups, the highest combined diagnostic value of the hub genes were 0.95, 0.92, and 0.83, respectively, indicating that the hub genes had sound typing and diagnostic ability.ConclusionThe transcriptome classification of AD cases played out the pathological heterogeneity of different subgroups. It throws daylight on the personalized diagnosis and treatment of AD.
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Affiliation(s)
- He Li
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Meiqi Wei
- Institute of Chinese Medical Literature and Culture, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Tianyuan Ye
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yiduan Liu
- School of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Dongmei Qi
- Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xiaorui Cheng
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
- *Correspondence: Xiaorui Cheng
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16
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Bonk S, Kirchner K, Ameling S, Garvert L, Völzke H, Nauck M, Völker U, Grabe HJ, Van der Auwera S. APOE ε4 in Depression-Associated Memory Impairment-Evidence from Genetic and MicroRNA Analyses. Biomedicines 2022; 10:1560. [PMID: 35884866 PMCID: PMC9313258 DOI: 10.3390/biomedicines10071560] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/27/2022] [Accepted: 06/29/2022] [Indexed: 11/16/2022] Open
Abstract
(1) Background: The aim of this study was to replicate a reported interaction between APOE ε4 status and depression on memory function in two independent, nondemented samples from the general population and to examine the potential role of circulating plasma miRNAs. (2) Methods: The impact of the APOE ε4 allele on verbal memory and the interaction with depression is investigated in two large general-population cohorts from the Study of Health in Pomerania (SHIP, total n = 6286). Additionally, biological insights are gained by examining the potential role of circulating plasma miRNAs as potential epigenetic regulators. Analyses are performed using linear regression models adjusted for relevant biological and environmental covariates. (3) Results: Current depression as well as carrying the APOE ε4 allele were associated with impaired memory performance, with increasing effect for subjects with both risk factors. In a subcohort with available miRNA data subjects with current depressive symptoms and carrying APOE e4 revealed reduced levels of hsa-miR-107, a prominent risk marker for early Alzheimer's Disease. (4) Conclusions: Our results confirm the effect of depressive symptoms and APOE ε4 status on memory performance. Additionally, miRNA analysis identified hsa-miR-107 as a possible biological link between APOE ε4, depressive symptoms, and cognitive impairment.
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Affiliation(s)
- Sarah Bonk
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17489 Greifswald, Germany; (S.B.); (K.K.); (L.G.); (H.J.G.)
| | - Kevin Kirchner
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17489 Greifswald, Germany; (S.B.); (K.K.); (L.G.); (H.J.G.)
| | - Sabine Ameling
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany; (S.A.); (U.V.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 17475 Greifswald, Germany; (H.V.); (M.N.)
| | - Linda Garvert
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17489 Greifswald, Germany; (S.B.); (K.K.); (L.G.); (H.J.G.)
| | - Henry Völzke
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 17475 Greifswald, Germany; (H.V.); (M.N.)
- Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Matthias Nauck
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 17475 Greifswald, Germany; (H.V.); (M.N.)
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany; (S.A.); (U.V.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 17475 Greifswald, Germany; (H.V.); (M.N.)
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17489 Greifswald, Germany; (S.B.); (K.K.); (L.G.); (H.J.G.)
- German Centre for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, 17489 Greifswald, Germany
| | - Sandra Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17489 Greifswald, Germany; (S.B.); (K.K.); (L.G.); (H.J.G.)
- German Centre for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, 17489 Greifswald, Germany
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17
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Blood-brain barrier leakage in Alzheimer's disease: From discovery to clinical relevance. Pharmacol Ther 2022; 234:108119. [PMID: 35108575 PMCID: PMC9107516 DOI: 10.1016/j.pharmthera.2022.108119] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/14/2022] [Accepted: 01/18/2022] [Indexed: 12/16/2022]
Abstract
Alzheimer's disease (AD) is the most common form of dementia. AD brain pathology starts decades before the onset of clinical symptoms. One early pathological hallmark is blood-brain barrier dysfunction characterized by barrier leakage and associated with cognitive decline. In this review, we summarize the existing literature on the extent and clinical relevance of barrier leakage in AD. First, we focus on AD animal models and their susceptibility to barrier leakage based on age and genetic background. Second, we re-examine barrier dysfunction in clinical and postmortem studies, summarize changes that lead to barrier leakage in patients and highlight the clinical relevance of barrier leakage in AD. Third, we summarize signaling mechanisms that link barrier leakage to neurodegeneration and cognitive decline in AD. Finally, we discuss clinical relevance and potential therapeutic strategies and provide future perspectives on investigating barrier leakage in AD. Identifying mechanistic steps underlying barrier leakage has the potential to unravel new targets that can be used to develop novel therapeutic strategies to repair barrier leakage and slow cognitive decline in AD and AD-related dementias.
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18
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Wang B, Giannakopoulou O, Austin-Zimmerman I, Irizar H, Harju-Seppänen J, Zartaloudi E, Bhat A, McQuillin A, Kuchenbäcker K, Bramon E. Adolescent Verbal Memory as a Psychosis Endophenotype: A Genome-Wide Association Study in an Ancestrally Diverse Sample. Genes (Basel) 2022; 13:106. [PMID: 35052446 PMCID: PMC8774761 DOI: 10.3390/genes13010106] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 12/16/2021] [Accepted: 12/29/2021] [Indexed: 02/04/2023] Open
Abstract
Verbal memory impairment is one of the most prominent cognitive deficits in psychosis. However, few studies have investigated the genetic basis of verbal memory in a neurodevelopmental context, and most genome-wide association studies (GWASs) have been conducted in European-ancestry populations. We conducted a GWAS on verbal memory in a maximum of 11,017 participants aged 8.9 to 11.1 years in the Adolescent Brain Cognitive Development Study®, recruited from a diverse population in the United States. Verbal memory was assessed by the Rey Auditory Verbal Learning Test, which included three measures of verbal memory: immediate recall, short-delay recall, and long-delay recall. We adopted a mixed-model approach to perform a joint GWAS of all participants, adjusting for ancestral background and familial relatedness. The inclusion of participants from all ancestries increased the power of the GWAS. Two novel genome-wide significant associations were found for short-delay and long-delay recall verbal memory. In particular, one locus (rs9896243) associated with long-delay recall was mapped to the NSF (N-Ethylmaleimide Sensitive Factor, Vesicle Fusing ATPase) gene, indicating the role of membrane fusion in adolescent verbal memory. Based on the GWAS in the European subset, we estimated the SNP-heritability to be 15% to 29% for the three verbal memory traits. We found that verbal memory was genetically correlated with schizophrenia, providing further evidence supporting verbal memory as an endophenotype for psychosis.
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Affiliation(s)
- Baihan Wang
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London W1T 7BN, UK; (O.G.); (I.A.-Z.); (H.I.); (J.H.-S.); (E.Z.); (A.B.); (A.M.); (K.K.)
| | - Olga Giannakopoulou
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London W1T 7BN, UK; (O.G.); (I.A.-Z.); (H.I.); (J.H.-S.); (E.Z.); (A.B.); (A.M.); (K.K.)
- UCL Genetics Institute, Division of Biosciences, University College London, London WC1E 6BT, UK
| | - Isabelle Austin-Zimmerman
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London W1T 7BN, UK; (O.G.); (I.A.-Z.); (H.I.); (J.H.-S.); (E.Z.); (A.B.); (A.M.); (K.K.)
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK
| | - Haritz Irizar
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London W1T 7BN, UK; (O.G.); (I.A.-Z.); (H.I.); (J.H.-S.); (E.Z.); (A.B.); (A.M.); (K.K.)
- Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jasmine Harju-Seppänen
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London W1T 7BN, UK; (O.G.); (I.A.-Z.); (H.I.); (J.H.-S.); (E.Z.); (A.B.); (A.M.); (K.K.)
| | - Eirini Zartaloudi
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London W1T 7BN, UK; (O.G.); (I.A.-Z.); (H.I.); (J.H.-S.); (E.Z.); (A.B.); (A.M.); (K.K.)
| | - Anjali Bhat
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London W1T 7BN, UK; (O.G.); (I.A.-Z.); (H.I.); (J.H.-S.); (E.Z.); (A.B.); (A.M.); (K.K.)
| | - Andrew McQuillin
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London W1T 7BN, UK; (O.G.); (I.A.-Z.); (H.I.); (J.H.-S.); (E.Z.); (A.B.); (A.M.); (K.K.)
| | - Karoline Kuchenbäcker
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London W1T 7BN, UK; (O.G.); (I.A.-Z.); (H.I.); (J.H.-S.); (E.Z.); (A.B.); (A.M.); (K.K.)
- UCL Genetics Institute, Division of Biosciences, University College London, London WC1E 6BT, UK
| | - Elvira Bramon
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London W1T 7BN, UK; (O.G.); (I.A.-Z.); (H.I.); (J.H.-S.); (E.Z.); (A.B.); (A.M.); (K.K.)
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19
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Lam M, Chen CY, Ge T, Xia Y, Hill DW, Trampush JW, Yu J, Knowles E, Davies G, Stahl EA, Huckins L, Liewald DC, Djurovic S, Melle I, Christoforou A, Reinvang I, DeRosse P, Lundervold AJ, Steen VM, Espeseth T, Räikkönen K, Widen E, Palotie A, Eriksson JG, Giegling I, Konte B, Hartmann AM, Roussos P, Giakoumaki S, Burdick KE, Payton A, Ollier W, Chiba-Falek O, Koltai DC, Need AC, Cirulli ET, Voineskos AN, Stefanis NC, Avramopoulos D, Hatzimanolis A, Smyrnis N, Bilder RM, Freimer NB, Cannon TD, London E, Poldrack RA, Sabb FW, Congdon E, Conley ED, Scult MA, Dickinson D, Straub RE, Donohoe G, Morris D, Corvin A, Gill M, Hariri AR, Weinberger DR, Pendleton N, Bitsios P, Rujescu D, Lahti J, Le Hellard S, Keller MC, Andreassen OA, Deary IJ, Glahn DC, Huang H, Liu C, Malhotra AK, Lencz T. Identifying nootropic drug targets via large-scale cognitive GWAS and transcriptomics. Neuropsychopharmacology 2021; 46:1788-1801. [PMID: 34035472 PMCID: PMC8357785 DOI: 10.1038/s41386-021-01023-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 02/22/2021] [Accepted: 04/12/2021] [Indexed: 02/05/2023]
Abstract
Broad-based cognitive deficits are an enduring and disabling symptom for many patients with severe mental illness, and these impairments are inadequately addressed by current medications. While novel drug targets for schizophrenia and depression have emerged from recent large-scale genome-wide association studies (GWAS) of these psychiatric disorders, GWAS of general cognitive ability can suggest potential targets for nootropic drug repurposing. Here, we (1) meta-analyze results from two recent cognitive GWAS to further enhance power for locus discovery; (2) employ several complementary transcriptomic methods to identify genes in these loci that are credibly associated with cognition; and (3) further annotate the resulting genes using multiple chemoinformatic databases to identify "druggable" targets. Using our meta-analytic data set (N = 373,617), we identified 241 independent cognition-associated loci (29 novel), and 76 genes were identified by 2 or more methods of gene identification. Actin and chromatin binding gene sets were identified as novel pathways that could be targeted via drug repurposing. Leveraging our transcriptomic and chemoinformatic databases, we identified 16 putative genes targeted by existing drugs potentially available for cognitive repurposing.
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Affiliation(s)
- Max Lam
- Division of Psychiatry Research, The Zucker Hillside Hospital, Glen Oaks, NY, USA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Institute of Mental Health, Singapore, Singapore
| | - Chia-Yen Chen
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Biogen, Inc, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Tian Ge
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Yan Xia
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China
- Psychiatry Department, SUNY Upstate Medical University, Syracuse, NY, USA
| | - David W Hill
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, Scotland, UK
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Joey W Trampush
- Department of Psychiatry and the Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jin Yu
- Division of Psychiatry Research, The Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Emma Knowles
- Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Olin Neuropsychic Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Gail Davies
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, Scotland, UK
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Eli A Stahl
- Regeneron Pharmaceuticals, Inc., Tarrytown, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laura Huckins
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David C Liewald
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Ingrid Melle
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Andrea Christoforou
- Spaulding Rehabilitation Hospital Boston, Charlestown, MA, USA
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Ivar Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Pamela DeRosse
- Division of Psychiatry Research, The Zucker Hillside Hospital, Glen Oaks, NY, USA
- Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Astri J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Vidar M Steen
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Thomas Espeseth
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
- Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland
| | - Johan G Eriksson
- Department of General Practice, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Folkhälsan Research Center, Helsinki, Finland
| | - Ina Giegling
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - Bettina Konte
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - Annette M Hartmann
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - Panos Roussos
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education, and Clinical Center (VISN 2), James J. Peters VA Medical Center, Bronx, NY, USA
| | | | - Katherine E Burdick
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education, and Clinical Center (VISN 2), James J. Peters VA Medical Center, Bronx, NY, USA
- Department of Psychiatry - Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Antony Payton
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK
| | - William Ollier
- Centre for Epidemiology, Division of Population Health, Health Services Research & Primary Care, The University of Manchester, Manchester, UK
- School of Healthcare Sciences, Manchester Metropolitan University, Manchester, United Kingdom
| | - Ornit Chiba-Falek
- Division of Translational Brain Sciences, Department of Neurology, Bryan Alzheimer's Disease Research Center, and Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC, USA
| | - Deborah C Koltai
- Psychiatry and Behavioral Sciences, Division of Medical Psychology, and Department of Neurology, Duke University Medical Center, Durham, NC, USA
| | - Anna C Need
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | | | - Aristotle N Voineskos
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Nikos C Stefanis
- 2nd Department of Psychiatry, National and Kapodistrian University of Athens Medical School, University General Hospital "ATTIKON", Athens, Greece
- University Mental Health Research Institute, Athens, Greece
- Neurobiology Research Institute, Theodor-Theohari Cozzika Foundation, Athens, Greece
| | - Dimitrios Avramopoulos
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alex Hatzimanolis
- 2nd Department of Psychiatry, National and Kapodistrian University of Athens Medical School, University General Hospital "ATTIKON", Athens, Greece
- University Mental Health Research Institute, Athens, Greece
- Neurobiology Research Institute, Theodor-Theohari Cozzika Foundation, Athens, Greece
| | - Nikolaos Smyrnis
- 2nd Department of Psychiatry, National and Kapodistrian University of Athens Medical School, University General Hospital "ATTIKON", Athens, Greece
- University Mental Health Research Institute, Athens, Greece
| | - Robert M Bilder
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Nelson B Freimer
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Edythe London
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | | | - Fred W Sabb
- Robert and Beverly Lewis Center for Neuroimaging, University of Oregon, Eugene, OR, USA
| | - Eliza Congdon
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | | | - Matthew A Scult
- Weill Cornell Psychiatry at NewYork-Presbyterian, Weill Cornell Medical Center, New York, NY, USA
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Dwight Dickinson
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institute of Health, Bethesda, MD, USA
| | - Richard E Straub
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA
| | - Gary Donohoe
- Neuroimaging, Cognition & Genomics (NICOG) Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | - Derek Morris
- Neuroimaging, Cognition & Genomics (NICOG) Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Michael Gill
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Ahmad R Hariri
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA
| | - Neil Pendleton
- Division of Neuroscience and Experimental Psychology/School of Biological Sciences, Faculty of Biology Medicine and Health, Manchester Academic Health Science Centre, Salford Royal NHS Foundation Trust, University of Manchester, Manchester, UK
| | - Panos Bitsios
- Department of Psychiatry and Behavioral Sciences, Faculty of Medicine, University of Crete, Heraklion, Crete, GR, Greece
| | - Dan Rujescu
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Stephanie Le Hellard
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | - Ole A Andreassen
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ian J Deary
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, Scotland, UK
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - David C Glahn
- Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Olin Neuropsychic Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Hailiang Huang
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Chunyu Liu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China
- Psychiatry Department, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Anil K Malhotra
- Division of Psychiatry Research, The Zucker Hillside Hospital, Glen Oaks, NY, USA
- Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Todd Lencz
- Division of Psychiatry Research, The Zucker Hillside Hospital, Glen Oaks, NY, USA.
- Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA.
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
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20
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Faul JD, Kho M, Zhao W, Rumfelt KE, Yu M, Mitchell C, Smith JA. Trans-ethnic Meta-analysis of Interactions between Genetics and Early Life Socioeconomic Context on Memory Performance and Decline in Older Americans. J Gerontol A Biol Sci Med Sci 2021; 77:2248-2256. [PMID: 34448475 DOI: 10.1093/gerona/glab255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Indexed: 11/14/2022] Open
Abstract
Later life cognitive function is influenced by genetics as well as early- and later-life socioeconomic context. However, few studies have examined the interaction between genetics and early childhood factors. Using gene-based tests (iSKAT/iSKAT-O), we examined whether common and/or rare exonic variants in 39 gene regions previously associated with cognitive performance, dementia, and related traits had an interaction with childhood socioeconomic context (parental education and financial strain) on memory performance or decline in European ancestry (EA, N=10,468) and African ancestry (AA, N=2,252) participants from the Health and Retirement Study. Of the 39 genes, 22 in EA and 19 in AA had nominally significant interactions with at least one childhood socioeconomic measure on memory performance and/or decline; however, all but one (father's education by SLC24A4 in AA) were not significant after multiple testing correction (FDR <0.05). In trans-ethnic meta-analysis, two genes interacted with childhood socioeconomic context (FDR <0.05): mother's education by MS4A4A on memory performance, and father's education by SLC24A4 on memory decline. Both interactions remained significant (p<0.05) after adjusting for respondent's own educational attainment, APOE ε4 status, lifestyle factors, BMI, and comorbidities. For both interactions in EA and AA, the genetic effect was stronger in participants with low parental education. Examination of common and rare variants in genes discovered through GWAS shows that childhood context may interact with key gene regions to jointly impact later life memory function and decline. Genetic effects may be more salient for those with lower childhood socioeconomic status.
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Affiliation(s)
- Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Minjung Kho
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Kalee E Rumfelt
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Miao Yu
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Colter Mitchell
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Jennifer A Smith
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI.,Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
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21
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Li J, Zheng M, Shimoni O, Banks WA, Bush AI, Gamble JR, Shi B. Development of Novel Therapeutics Targeting the Blood-Brain Barrier: From Barrier to Carrier. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:e2101090. [PMID: 34085418 PMCID: PMC8373165 DOI: 10.1002/advs.202101090] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 04/11/2021] [Indexed: 05/05/2023]
Abstract
The blood-brain barrier (BBB) is a highly specialized neurovascular unit, initially described as an intact barrier to prevent toxins, pathogens, and potentially harmful substances from entering the brain. An intact BBB is also critical for the maintenance of normal neuronal function. In cerebral vascular diseases and neurological disorders, the BBB can be disrupted, contributing to disease progression. While restoration of BBB integrity serves as a robust biomarker of better clinical outcomes, the restrictive nature of the intact BBB presents a major hurdle for delivery of therapeutics into the brain. Recent studies show that the BBB is actively engaged in crosstalk between neuronal and the circulatory systems, which defines another important role of the BBB: as an interfacing conduit that mediates communication between two sides of the BBB. This role has been subject to extensive investigation for brain-targeted drug delivery and shows promising results. The dual roles of the BBB make it a unique target for drug development. Here, recent developments and novel strategies to target the BBB for therapeutic purposes are reviewed, from both barrier and carrier perspectives.
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Affiliation(s)
- Jia Li
- School of PharmacyHenan UniversityKaifeng475001China
- Centre for Motor Neuron DiseaseDepartment of Biomedical SciencesFaculty of Medicine & Health SciencesMacquarie UniversitySydneyNew South Wales2109Australia
| | - Meng Zheng
- Henan‐Macquarie University Joint Center for Biomedical InnovationSchool of Life SciencesHenan UniversityKaifengHenan475004China
| | - Olga Shimoni
- Institute for Biomedical Materials and DevicesSchool of Mathematical and Physical SciencesFaculty of ScienceUniversity of Technology SydneySydneyNew South Wales2007Australia
| | - William A. Banks
- Geriatric Research Education and Clinical CenterVeterans Affairs Puget Sound Health Care System and Division of Gerontology and Geriatric MedicineDepartment of MedicineUniversity of Washington School of MedicineSeattleWA98108USA
| | - Ashley I. Bush
- Melbourne Dementia Research CenterThe Florey Institute for Neuroscience and Mental HealthThe University of MelbourneParkvilleVictoria3052Australia
| | - Jennifer R. Gamble
- Center for the EndotheliumVascular Biology ProgramCentenary InstituteThe University of SydneySydneyNew South Wales2042Australia
| | - Bingyang Shi
- School of PharmacyHenan UniversityKaifeng475001China
- Centre for Motor Neuron DiseaseDepartment of Biomedical SciencesFaculty of Medicine & Health SciencesMacquarie UniversitySydneyNew South Wales2109Australia
- Henan‐Macquarie University Joint Center for Biomedical InnovationSchool of Life SciencesHenan UniversityKaifengHenan475004China
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22
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Wang W, Li W, Jiang W, Lin H, Wu Y, Wen Y, Xu C, Tian X, Li S, Tan Q, Zhang D. Genome-wide DNA methylation analysis of cognitive function in middle and old-aged Chinese monozygotic twins. J Psychiatr Res 2021; 136:571-580. [PMID: 33131831 DOI: 10.1016/j.jpsychires.2020.10.031] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 08/13/2020] [Accepted: 10/25/2020] [Indexed: 12/13/2022]
Abstract
Cognitive ability plays an important role in mental and physical well-beings in the increasingly ageing populations. Here, based on a sample of 30 cognitive function-discordant monozygotic twin pairs, we aimed to detect specific epigenetic variants potentially related to cognitive function by conducting an epigenome-wide association study (EWAS). Association between methylation level of single CpG site with cognitive function score was tested by linear mixed effect model. Functions of cis-regulatory regions and ontology enrichments were predicted by Genomic Regions Enrichment of Annotations Tool (GREAT). Differentially methylated regions (DMRs) were detected by comb-p python library. A list of 28 CpG sites were identified to reach the level of P < 1 × 10-4, and the strongest association (cor = 0.138, P = 2.549 × 10-6) was detected for DNA CpG site (Chr17: 40,700,490 bp) located at HSD17B1P1. The identified 14,065 genomic CpG sites (P < 0.05) were mapped to 2646 genes, especially HSD17B1P1, CUL4A, INTS8, GFI1B, ZNF467, CDH15, and PSMA1. GREAT ontology enrichments mainly highlighted nicotine pharmacodynamics pathway, GABA-B receptor II/nicotinic acetylcholine receptor/hedgehog/endothelin/Wnt signaling pathways, Parkinson disease, Huntington disease, glycolysis, neuronal system, and toll-like receptor binding. We detected 15 DMRs located at/near 16 genes, especially LINC01551, LINC02282, and FAM32A. And 32 cognitive function-associated differentially methylated genes could be replicated, such as SHANK2, ABCA2, PRDM16, NCOR2, and INPP5A. Our EWAS in monozygotic twins identify specific epigenetic variations which are significantly involved in functional genes, biological function and pathways that mediate cognitive function. The findings provide clues to further identify new diagnostic biomarkers and therapeutic targets for cognitive dysfunction.
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Affiliation(s)
- Weijing Wang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, 266021, Shandong Province, China.
| | - Weilong Li
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, DK-5000, Odense C, Denmark.
| | - Wenjie Jiang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, 266021, Shandong Province, China.
| | - Haijun Lin
- Biomarker Technologies orporation, Beijing, 100000, China.
| | - Yili Wu
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, 266021, Shandong Province, China.
| | - Yanhua Wen
- Biomarker Technologies orporation, Beijing, 100000, China.
| | - Chunsheng Xu
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, 266033, Shandong Province, China; Qingdao Institute of Preventive Medicine, Qingdao, 266033, Shandong Province, China.
| | - Xiaocao Tian
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, 266033, Shandong Province, China; Qingdao Institute of Preventive Medicine, Qingdao, 266033, Shandong Province, China.
| | - Shuxia Li
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, DK-5000, Odense C, Denmark.
| | - Qihua Tan
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, DK-5000, Odense C, Denmark; Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, DK-5000, Odense C, Denmark.
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, 266021, Shandong Province, China.
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23
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Ramanan VK, Lesnick TG, Przybelski SA, Heckman MG, Knopman DS, Graff-Radford J, Lowe VJ, Machulda MM, Mielke MM, Jack CR, Petersen RC, Ross OA, Vemuri P. Coping with brain amyloid: genetic heterogeneity and cognitive resilience to Alzheimer's pathophysiology. Acta Neuropathol Commun 2021; 9:48. [PMID: 33757599 PMCID: PMC7986461 DOI: 10.1186/s40478-021-01154-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 03/08/2021] [Indexed: 12/13/2022] Open
Abstract
Although abnormal accumulation of amyloid in the brain is an early biomarker of Alzheimer's disease (AD), wide variation in cognitive trajectories during life can be seen in the setting of brain amyloidosis, ranging from maintenance of normal function to progression to dementia. It is widely presumed that cognitive resilience (i.e., coping) to amyloidosis may be influenced by environmental, lifestyle, and inherited factors, but relatively little in specifics is known about this architecture. Here, we leveraged multimodal longitudinal data from a large, population-based sample of older adults to discover genetic factors associated with differential cognitive resilience to brain amyloidosis determined by positron emission tomography (PET). Among amyloid-PET positive older adults, the AD risk allele APOE ɛ4 was associated with worse longitudinal memory trajectories as expected, and was thus covaried in the main analyses. Through a genome-wide association study (GWAS), we uncovered a novel association with cognitive resilience on chromosome 8 at the MTMR7/CNOT7/ZDHHC2/VPS37A locus (p = 4.66 × 10-8, β = 0.23), and demonstrated replication in an independent cohort. Post-hoc analyses confirmed this association as specific to the setting of elevated amyloid burden and not explained by differences in tau deposition or cerebrovascular disease. Complementary gene-based analyses and publically available functional data suggested that the causative variant at this locus may tag CNOT7 (CCR4-NOT Transcription Complex Subunit 7), a gene linked to synaptic plasticity and hippocampal-dependent learning and memory. Pathways related to cell adhesion and immune system activation displayed enrichment of association in the GWAS. Our findings, resulting from a unique study design, support the hypothesis that genetic heterogeneity is one of the factors that explains differential cognitive resilience to brain amyloidosis. Further characterization of the underlying biological mechanisms influencing cognitive resilience may facilitate improved prognostic counseling, therapeutic application, and trial enrollment in AD.
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Affiliation(s)
- Vijay K Ramanan
- Department of Neurology, Mayo Clinic-Minnesota, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Timothy G Lesnick
- Department of Health Sciences Research, Mayo Clinic-Minnesota, Rochester, MN, 55905, USA
| | - Scott A Przybelski
- Department of Health Sciences Research, Mayo Clinic-Minnesota, Rochester, MN, 55905, USA
| | - Michael G Heckman
- Division of Biomedical Statistics and Informatics, Mayo Clinic-Florida, Jacksonville, FL, 32224, USA
| | - David S Knopman
- Department of Neurology, Mayo Clinic-Minnesota, 200 First Street SW, Rochester, MN, 55905, USA
| | - Jonathan Graff-Radford
- Department of Neurology, Mayo Clinic-Minnesota, 200 First Street SW, Rochester, MN, 55905, USA
| | - Val J Lowe
- Department of Radiology, Mayo Clinic-Minnesota, 200 First Street SW, Rochester, MN, 55905, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic-Minnesota, Rochester, MN, 55905, USA
| | - Michelle M Mielke
- Department of Neurology, Mayo Clinic-Minnesota, 200 First Street SW, Rochester, MN, 55905, USA
- Department of Health Sciences Research, Mayo Clinic-Minnesota, Rochester, MN, 55905, USA
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic-Minnesota, 200 First Street SW, Rochester, MN, 55905, USA
| | - Ronald C Petersen
- Department of Neurology, Mayo Clinic-Minnesota, 200 First Street SW, Rochester, MN, 55905, USA
- Department of Health Sciences Research, Mayo Clinic-Minnesota, Rochester, MN, 55905, USA
| | - Owen A Ross
- Department of Neuroscience, Mayo Clinic-Florida, Jacksonville, FL, 32224, USA
- Department of Clinical Genomics, Mayo Clinic-Florida, Jacksonville, FL, 32224, USA
| | - Prashanthi Vemuri
- Department of Radiology, Mayo Clinic-Minnesota, 200 First Street SW, Rochester, MN, 55905, USA.
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24
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de la Fuente J, Davies G, Grotzinger AD, Tucker-Drob EM, Deary IJ. A general dimension of genetic sharing across diverse cognitive traits inferred from molecular data. Nat Hum Behav 2021; 5:49-58. [PMID: 32895543 PMCID: PMC9346507 DOI: 10.1038/s41562-020-00936-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 07/27/2020] [Indexed: 01/28/2023]
Abstract
It has been known since 1904 that, in humans, diverse cognitive traits are positively intercorrelated. This forms the basis for the general factor of intelligence (g). Here, we directly test whether there is a partial genetic basis for individual differences in g using data from seven different cognitive tests (n = 11,263-331,679) and genome-wide autosomal single-nucleotide polymorphisms. A genetic g factor accounts for an average of 58.4% (s.e. = 4.8%) of the genetic variance in the cognitive traits considered, with the proportion varying widely across traits (range, 9-95%). We distil genetic loci that are broadly relevant for many cognitive traits (g) from loci associated specifically with individual cognitive traits. These results contribute to elucidating the aetiology of a long-known yet poorly understood phenomenon, revealing a fundamental dimension of genetic sharing across diverse cognitive traits.
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Affiliation(s)
- Javier de la Fuente
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
- Population Research Center, University of Texas at Austin, Austin, TX, USA
| | - Gail Davies
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | | | - Elliot M Tucker-Drob
- Department of Psychology, University of Texas at Austin, Austin, TX, USA.
- Population Research Center, University of Texas at Austin, Austin, TX, USA.
| | - Ian J Deary
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK.
- Department of Psychology, University of Edinburgh, Edinburgh, UK.
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25
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Sargurupremraj M, Suzuki H, Jian X, Sarnowski C, Evans TE, Bis JC, Eiriksdottir G, Sakaue S, Terzikhan N, Habes M, Zhao W, Armstrong NJ, Hofer E, Yanek LR, Hagenaars SP, Kumar RB, van den Akker EB, McWhirter RE, Trompet S, Mishra A, Saba Y, Satizabal CL, Beaudet G, Petit L, Tsuchida A, Zago L, Schilling S, Sigurdsson S, Gottesman RF, Lewis CE, Aggarwal NT, Lopez OL, Smith JA, Valdés Hernández MC, van der Grond J, Wright MJ, Knol MJ, Dörr M, Thomson RJ, Bordes C, Le Grand Q, Duperron MG, Smith AV, Knopman DS, Schreiner PJ, Evans DA, Rotter JI, Beiser AS, Maniega SM, Beekman M, Trollor J, Stott DJ, Vernooij MW, Wittfeld K, Niessen WJ, Soumaré A, Boerwinkle E, Sidney S, Turner ST, Davies G, Thalamuthu A, Völker U, van Buchem MA, Bryan RN, Dupuis J, Bastin ME, Ames D, Teumer A, Amouyel P, Kwok JB, Bülow R, Deary IJ, Schofield PR, Brodaty H, Jiang J, Tabara Y, Setoh K, Miyamoto S, Yoshida K, Nagata M, Kamatani Y, Matsuda F, Psaty BM, Bennett DA, De Jager PL, Mosley TH, Sachdev PS, Schmidt R, Warren HR, Evangelou E, Trégouët DA, Ikram MA, Wen W, DeCarli C, Srikanth VK, Jukema JW, Slagboom EP, Kardia SLR, Okada Y, Mazoyer B, Wardlaw JM, Nyquist PA, Mather KA, Grabe HJ, Schmidt H, Van Duijn CM, Gudnason V, Longstreth WT, Launer LJ, Lathrop M, Seshadri S, Tzourio C, Adams HH, Matthews PM, Fornage M, Debette S. Cerebral small vessel disease genomics and its implications across the lifespan. Nat Commun 2020; 11:6285. [PMID: 33293549 PMCID: PMC7722866 DOI: 10.1038/s41467-020-19111-2] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Accepted: 09/10/2020] [Indexed: 12/14/2022] Open
Abstract
White matter hyperintensities (WMH) are the most common brain-imaging feature of cerebral small vessel disease (SVD), hypertension being the main known risk factor. Here, we identify 27 genome-wide loci for WMH-volume in a cohort of 50,970 older individuals, accounting for modification/confounding by hypertension. Aggregated WMH risk variants were associated with altered white matter integrity (p = 2.5×10-7) in brain images from 1,738 young healthy adults, providing insight into the lifetime impact of SVD genetic risk. Mendelian randomization suggested causal association of increasing WMH-volume with stroke, Alzheimer-type dementia, and of increasing blood pressure (BP) with larger WMH-volume, notably also in persons without clinical hypertension. Transcriptome-wide colocalization analyses showed association of WMH-volume with expression of 39 genes, of which four encode known drug targets. Finally, we provide insight into BP-independent biological pathways underlying SVD and suggest potential for genetic stratification of high-risk individuals and for genetically-informed prioritization of drug targets for prevention trials.
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Affiliation(s)
- Muralidharan Sargurupremraj
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Hideaki Suzuki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo, Aoba, Sendai, 980-8573, Japan
- Department of Cardiovascular Medicine, Tohoku University Hospital, 1-1, Seiryo, Aoba, Sendai, 980-8574, Japan
- Department of Brain Sciences, Imperial College London, London, W12 0NN, UK
| | - Xueqiu Jian
- University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, 77030, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
| | - Chloé Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Tavia E Evans
- Department of Clinical Genetics, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | | | - Saori Sakaue
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- Department of Allergy and Rheumatology, Graduate School of Medicine, the University of Tokyo, Tokyo, 113-0033, Japan
| | - Natalie Terzikhan
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Mohamad Habes
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Institute for Community Medicine, University Medicine Greifswald, 17475, Greifswald, Germany
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
| | - Nicola J Armstrong
- Mathematics and Statistics, Murdoch University, Murdoch, WA, 6150, Australia
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, 8036, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036, Graz, Austria
| | - Lisa R Yanek
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Saskia P Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Social Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | - Rajan B Kumar
- Department of Public Health Sciences, University of California at Davis, Davis, CA, 95616, USA
| | - Erik B van den Akker
- Section of Molecular Epidemiology, Biomedical Sciences, Leiden university Medical Center, 2333 ZA, Leiden, The Netherlands
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, NL, 2629 HS, USA
- Leiden Computational Biology Centre, Leiden University Medical Centre, 2333 ZA, Leiden, The Netherlands
| | - Rebekah E McWhirter
- Centre for Law and Genetics, Faculty of Law, University of Tasmania, Hobart, TAS, 7005, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia
| | - Stella Trompet
- Department of Internal Medicine, section of gerontology and geriatrics, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Aniket Mishra
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Yasaman Saba
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
- Gottfried Schatz Research Center, Department of Molecular Biology and Biochemistry, Medical University of Graz, 8010, Graz, Austria
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, 02215, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Gregory Beaudet
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Laurent Petit
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Ami Tsuchida
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Laure Zago
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Sabrina Schilling
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | | | | | - Cora E Lewis
- University of Alabama at Birmingham School of Medicine, Birmingham, AL, 35233, USA
| | - Neelum T Aggarwal
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Oscar L Lopez
- Departments of Neurology and Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Maria C Valdés Hernández
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- Row Fogo Centre for Ageing and The Brain, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Jeroen van der Grond
- Department of Radiology, Leiden University medical Center, 2333 ZA, Leiden, The Netherlands
| | - Margaret J Wright
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, 4072, Australia
- Centre for Advanced Imaging, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Maria J Knol
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, 17475, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, 17475, Greifswald, Germany
| | - Russell J Thomson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia
- Centre for Research in Mathematics and Data Science, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Constance Bordes
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Quentin Le Grand
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Marie-Gabrielle Duperron
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | | | | | - Pamela J Schreiner
- University of Minnesota School of Public Health, Minneapolis, MN, 55455, USA
| | - Denis A Evans
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Alexa S Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, 02215, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Susana Muñoz Maniega
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Marian Beekman
- Section of Molecular Epidemiology, Biomedical Sciences, Leiden university Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Julian Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia
| | - David J Stott
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Meike W Vernooij
- Department of Radiology & Nuclear Medicine, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, 17489, Greifswald, Germany
| | - Wiro J Niessen
- Department of Radiology & Nuclear Medicine, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Faculty of Applied Sciences, Delft University of Technology, Delft, NL, 2629 HS, USA
| | - Aicha Soumaré
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Eric Boerwinkle
- University of Texas Health Science Center at Houston School of Public Health, Houston, TX, 77030, USA
| | - Stephen Sidney
- Kaiser Permanente Division of Research, Oakland, CA, 94612, USA
| | - Stephen T Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, 55905, USA
| | - Gail Davies
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036, Graz, Austria
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Anbupalam Thalamuthu
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, 17475, Greifswald, Germany
| | - Mark A van Buchem
- Row Fogo Centre for Ageing and The Brain, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - R Nick Bryan
- The University of Texas at Austin Dell Medical School, Austin, TX, 78712, USA
| | - Josée Dupuis
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- Department of Cardiology, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Mark E Bastin
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036, Graz, Austria
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - David Ames
- National Ageing Research Institute Royal Melbourne Hospital, Parkville, VIC, 3052, Australia
- Academic Unit for Psychiatry of Old Age, University of Melbourne, St George's Hospital, Kew, VIC, 3101, Australia
| | - Alexander Teumer
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Department of Internal Medicine B, University Medicine Greifswald, 17475, Greifswald, Germany
| | - Philippe Amouyel
- Inserm U1167, 59000, Lille, France
- Department of Epidemiology and Public Health, Pasteur Institute of Lille, 59000, Lille, France
| | - John B Kwok
- Brain and Mind Centre - The University of Sydney, Camperdown, NSW, 2050, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Robin Bülow
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, 17489, Greifswald, Germany
| | - Ian J Deary
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036, Graz, Austria
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Peter R Schofield
- School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
- Neuroscience Research Australia, Randwick, NSW, 2031, Australia
| | - Henry Brodaty
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Dementia Centre for Research Collaboration, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Jiyang Jiang
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Kazuya Setoh
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Susumu Miyamoto
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Kazumichi Yoshida
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Manabu Nagata
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Bruce M Psaty
- Departments of Epidemiology, Medicine and Health Services, University of Washington, Seattle, WA, 98195, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
- Program in Population and Medical Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Thomas H Mosley
- Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Perminder S Sachdev
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, 2031, Australia
| | - Reinhold Schmidt
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
| | - Helen R Warren
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, E1 4NS, UK
- National Institute for Health Research Barts Cardiovascular Biomedical Research Unit, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, SW7 2AZ, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Mpizani, 455 00, Greece
| | - David-Alexandre Trégouët
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Mohammad A Ikram
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, 95817, USA
| | - Velandai K Srikanth
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, VIC, 3004, Australia
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Eline P Slagboom
- Section of Molecular Epidemiology, Biomedical Sciences, Leiden university Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, 565-0871, Osaka, Japan
| | - Bernard Mazoyer
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Joanna M Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- Row Fogo Centre for Ageing and The Brain, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- MRC UK Dementia Research Institute at the University of Edinburgh, Edinburgh, EH8 9YL, UK
| | - Paul A Nyquist
- Department of Neurology, Johns Hopkins School of Medicine, Baltimone, MD, 21205, USA
- General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia
- Neuroscience Research Australia, Randwick, NSW, 2031, Australia
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, 17475, Greifswald, Germany
| | - Helena Schmidt
- Gottfried Schatz Research Center, Department of Molecular Biology and Biochemistry, Medical University of Graz, 8010, Graz, Austria
| | - Cornelia M Van Duijn
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Vilmundur Gudnason
- Icelandic Heart Association, IS-201, Kópavogur, Iceland
- University of Iceland, Faculty of Medicine, 101, Reykjavík, Iceland
| | - William T Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle, WA, 98104-2420, USA
| | - Lenore J Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute of Aging, The National Institutes of Health, Bethesda, MD, 20892, USA
- Intramural Research Program/National Institute on Aging/National Institutes of Health, Bethesda, MD, 20892, USA
| | - Mark Lathrop
- University of McGill Genome Center, Montreal, QC, H3A 0G1, Canada
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, 02215, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Christophe Tzourio
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
- CHU de Bordeaux, Pole de santé publique, Service d'information médicale, 33000, Bordeaux, France
| | - Hieab H Adams
- Department of Clinical Genetics, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Paul M Matthews
- Department of Brain Sciences, Imperial College London, London, W12 0NN, UK
- UK Dementia Research Institute, London, WC1E 6BT, UK
- Data Science Institute, Imperial College London, London, SW7 2AZ, UK
| | - Myriam Fornage
- University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, 77030, USA.
| | - Stéphanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France.
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA.
- Department of Neurology, CHU de Bordeaux, 33000, Bordeaux, France.
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26
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Andrews SJ, McFall GP, Booth A, Dixon RA, Anstey KJ. Association of Alzheimer's Disease Genetic Risk Loci with Cognitive Performance and Decline: A Systematic Review. J Alzheimers Dis 2020; 69:1109-1136. [PMID: 31156182 DOI: 10.3233/jad-190342] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The association of Apolipoprotein E (APOE) with late-onset Alzheimer's disease (LOAD) and cognitive endophenotypes of aging has been widely investigated. There is increasing interest in evaluating the association of other LOAD risk loci with cognitive performance and decline. The results of these studies have been inconsistent and inconclusive. We conducted a systematic review of studies investigating the association of non-APOE LOAD risk loci with cognitive performance in older adults. Studies published from January 2009 to April 2018 were identified through a PubMed database search using keywords and by scanning reference lists. Studies were included if they were either cross-sectional or longitudinal in design, included at least one genome-wide significant LOAD risk loci or a genetic risk score, and had one objective measure of cognition. Quality assessment of the studies was conducted using the quality of genetic studies (Q-Genie) tool. Of 2,466 studies reviewed, 49 met inclusion criteria. Fifteen percent of the associations between non-APOE LOAD risk loci and cognition were significant. However, these associations were not replicated across studies, and the majority were rendered non-significant when adjusting for multiple testing. One-third of the studies included genetic risk scores, and these were typically significant only when APOE was included. The findings of this systematic review do not support a consistent association between individual non-APOE LOAD risk and cognitive performance or decline. However, evidence suggests that aggregate LOAD genetic risk exerts deleterious effects on decline in episodic memory and global cognition.
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Affiliation(s)
- Shea J Andrews
- Ronald M. Loeb Center for Alzheimer's disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - G Peggy McFall
- Department of Psychology, University of Alberta, Edmonton, Canada.,Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada
| | - Andrew Booth
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Roger A Dixon
- Department of Psychology, University of Alberta, Edmonton, Canada.,Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada
| | - Kaarin J Anstey
- UNSW Ageing Futures Institute, University of New South Wales, Australia.,School of Psychology, University of New South Wales, Australia.,Neuroscience Research Australia, Australia
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27
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Dunn AR, Hadad N, Neuner SM, Zhang JG, Philip VM, Dumitrescu L, Hohman TJ, Herskowitz JH, O’Connell KMS, Kaczorowski CC. Identifying Mechanisms of Normal Cognitive Aging Using a Novel Mouse Genetic Reference Panel. Front Cell Dev Biol 2020; 8:562662. [PMID: 33042997 PMCID: PMC7517308 DOI: 10.3389/fcell.2020.562662] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 08/17/2020] [Indexed: 12/18/2022] Open
Abstract
Developing strategies to maintain cognitive health is critical to quality of life during aging. The basis of healthy cognitive aging is poorly understood; thus, it is difficult to predict who will have normal cognition later in life. Individuals may have higher baseline functioning (cognitive reserve) and others may maintain or even improve with age (cognitive resilience). Understanding the mechanisms underlying cognitive reserve and resilience may hold the key to new therapeutic strategies for maintaining cognitive health. However, reserve and resilience have been inconsistently defined in human studies. Additionally, our understanding of the molecular and cellular bases of these phenomena is poor, compounded by a lack of longitudinal molecular and cognitive data that fully capture the dynamic trajectories of cognitive aging. Here, we used a genetically diverse mouse population (B6-BXDs) to characterize individual differences in cognitive abilities in adulthood and investigate evidence of cognitive reserve and/or resilience in middle-aged mice. We tested cognitive function at two ages (6 months and 14 months) using y-maze and contextual fear conditioning. We observed heritable variation in performance on these traits (h 2 RIx̄ = 0.51-0.74), suggesting moderate to strong genetic control depending on the cognitive domain. Due to the polygenetic nature of cognitive function, we did not find QTLs significantly associated with y-maze, contextual fear acquisition (CFA) or memory, or decline in cognitive function at the genome-wide level. To more precisely interrogate the molecular regulation of variation in these traits, we employed RNA-seq and identified gene networks related to transcription/translation, cellular metabolism, and neuronal function that were associated with working memory, contextual fear memory, and cognitive decline. Using this method, we nominate the Trio gene as a modulator of working memory ability. Finally, we propose a conceptual framework for identifying strains exhibiting cognitive reserve and/or resilience to assess whether these traits can be observed in middle-aged B6-BXDs. Though we found that earlier cognitive reserve evident early in life protects against cognitive impairment later in life, cognitive performance and age-related decline fell along a continuum, with no clear genotypes emerging as exemplars of exceptional reserve or resilience - leading to recommendations for future use of aging mouse populations to understand the nature of cognitive reserve and resilience.
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Affiliation(s)
- Amy R. Dunn
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Niran Hadad
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Sarah M. Neuner
- The Jackson Laboratory, Bar Harbor, ME, United States
- Department of Anatomy and Neurobiology, The University of Tennessee Health Science Center, Memphis, TN, United States
| | - Ji-Gang Zhang
- The Jackson Laboratory, Bar Harbor, ME, United States
| | | | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer’s Center and Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer’s Center and Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jeremy H. Herskowitz
- Center for Neurodegeneration and Experimental Therapeutics and Department of Neurology, The University of Alabama at Birmingham, Birmingham, AL, United States
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Smith JA, Zhao W, Yu M, Rumfelt KE, Moorjani P, Ganna A, Dey AB, Lee J, Kardia SLR. Association Between Episodic Memory and Genetic Risk Factors for Alzheimer's Disease in South Asians from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD). J Am Geriatr Soc 2020; 68 Suppl 3:S45-S53. [PMID: 32815605 DOI: 10.1111/jgs.16735] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 04/03/2020] [Accepted: 04/23/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND/OBJECTIVES Genetic factors play an important role in Alzheimer's disease (AD) and cognitive aging. However, it is unclear whether risk loci identified in European ancestry (EA) populations have similar effects in other groups, such as South Asians. DESIGN We investigated the allelic distribution and cognitive associations of 56 known AD risk single-nucleotide polymorphisms (SNPs) identified from three EA genome-wide association studies (EA-GWASs) in a South Asian population. Single SNP and genetic risk score (GRS) associations with measures of episodic memory were assessed. SETTING The Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD). PARTICIPANTS A total of 906 LASI-DAD participants from diverse states in India. MEASUREMENTS Participants were genotyped using the Illumina Global Screening Array and imputed with 1000G Phase 3v5. Cognitive measures included total learning and delayed word recall. RESULTS Although only a few SNPs were significantly associated with memory scores (P < .05), effect estimates from the EA-GWAS and the LASI-DAD showed moderate correlation (0.35-0.88) in the expected direction. GRSs were also associated with memory scores, although percentage variation explained was small (0.1%-0.6%). CONCLUSIONS Discrepancies in allele frequencies and cognitive association results suggest that genetic factors found predominantly through EA-GWASs may play a limited role in South Asians. However, the extent of differences in the genetic architecture of AD and cognition in EA and South Asians remains uncertain. There is also a critical need to perform a more comprehensive assessment of the mutational spectrum of South Asia to identify novel genetic variants associated with AD and cognition in this population. J Am Geriatr Soc 68:S45-S53, 2020.
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Affiliation(s)
- Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.,Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Miao Yu
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Kalee E Rumfelt
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Priya Moorjani
- Department of Molecular and Cell Biology, University of California, Berkeley, California, USA.,Center for Computational Biology, University of California, Berkeley, California, USA
| | - Andrea Ganna
- Institute for Molecular Medicine Finland, Helsinki, Finland
| | - Aparajit B Dey
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Jinkook Lee
- Department of Economics, University of Southern California, Los Angeles, California, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
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29
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Mustafin RN, Kazantseva AV, Malykh SB, Khusnutdinova EK. Genetic Mechanisms of Cognitive Development. RUSS J GENET+ 2020. [DOI: 10.1134/s102279542007011x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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30
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Jian X, Sofer T, Tarraf W, Bressler J, Faul JD, Zhao W, Ratliff SM, Lamar M, Launer LJ, Laurie CC, Schneiderman N, Weir DR, Wright CB, Yaffe K, Zeng D, DeCarli C, Mosley TH, Smith JA, González HM, Fornage M. Genome-wide association study of cognitive function in diverse Hispanics/Latinos: results from the Hispanic Community Health Study/Study of Latinos. Transl Psychiatry 2020; 10:245. [PMID: 32699239 PMCID: PMC7376098 DOI: 10.1038/s41398-020-00930-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 06/19/2020] [Accepted: 07/03/2020] [Indexed: 12/13/2022] Open
Abstract
Cognitive function such as reasoning, attention, memory, and language is strongly correlated with brain aging. Compared to non-Hispanic whites, Hispanics/Latinos have a higher risk of cognitive impairment and dementia. The genetic determinants of cognitive function have not been widely explored in this diverse and admixed population. We conducted a genome-wide association analysis of cognitive function in up to 7600 middle aged and older Hispanics/Latinos (mean = 55 years) from the Hispanic Community Health Study / Study of Latinos (HCHS/SOL). Four cognitive measures were examined: the Brief Spanish English Verbal Learning Test (B-SEVLT), the Word Fluency Test (WFT), the Digit Symbol Substitution Test (DSST), the Six-Item Screener (SIS). Four novel loci were identified: one for B-SEVLT at 4p14, two for WFT at 3p14.1 and 6p21.32, and one for DSST at 10p13. These loci implicate genes highly expressed in brain and previously connected to neurological diseases (UBE2K, FRMD4B, the HLA gene complex). By applying tissue-specific gene expression prediction models to our genotype data, additional genes highly expressed in brain showed suggestive associations with cognitive measures possibly indicating novel biological mechanisms, including IFT122 in the hippocampus for SIS, SNX31 in the basal ganglia for B-SEVLT, RPS6KB2 in the frontal cortex for WFT, and CSPG5 in the hypothalamus for DSST. These findings provide new information about the genetic determinants of cognitive function in this unique population. In addition, we derived a measure of general cognitive function based on these cognitive tests and generated genome-wide association summary results, providing a resource to the research community for comparison, replication, and meta-analysis in future genetic studies in Hispanics/Latinos.
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Affiliation(s)
- Xueqiu Jian
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Tamar Sofer
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Wassim Tarraf
- Institute of Gerontology and Department of Health Care Sciences, Wayne State University, Detroit, MI, USA
| | - Jan Bressler
- Department of Epidemiology, Human Genetics and Environmental Sciences and Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Scott M Ratliff
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Melissa Lamar
- Department of Behavioral Sciences, Rush Medical College, Chicago, IL, USA
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, MD, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington School of Public Health, Seattle, WA, USA
| | - Neil Schneiderman
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Clinton B Wright
- Division of Clinical Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Kristine Yaffe
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Donglin Zeng
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Charles DeCarli
- Department of Neurology, School of Medicine and Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California, Davis, Sacramento, CA, USA
| | - Thomas H Mosley
- Memory Impairment and Neurodegenerative Dementia (MIND) Center and Department of Medicine, The University of Mississippi Medical Center, Jackson, MS, USA
| | - Jennifer A Smith
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Hector M González
- Department of Neurosciences and Shiley-Marcos Alzheimer's Disease Research Center, University of California, San Diego, La Jolla, CA, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
- Department of Epidemiology, Human Genetics and Environmental Sciences and Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA.
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31
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Terock J, Van der Auwera S, Janowitz D, Wittfeld K, Teumer A, Grabe HJ. Functional polymorphisms of the mineralocorticoid receptor gene NR3C2 are associated with diminished memory decline: Results from a longitudinal general-population study. Mol Genet Genomic Med 2020; 8:e1345. [PMID: 32558353 PMCID: PMC7507013 DOI: 10.1002/mgg3.1345] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/13/2020] [Accepted: 05/19/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The mineralocorticoid receptor (MR) in the brain has a key role in the regulation of the central stress response and is associated with memory performance. We investigated whether the genetic polymorphisms rs5522 and rs2070951 of NR3C2 showed main and interactive effects with childhood trauma on memory decline. METHODS Declarative memory was longitudinally assessed in 1,318 participants from the community-dwelling Study of Health in Pomerania using the Verbal Learning and Memory Test (VLMT). In a subsample of 377 participants aged 60 and older, the Mini-Mental Status Examination (MMSE) was additionally applied. Mean follow-up time for the VLMT and MMSE were 6.4 and 10.7 years, respectively. RESULTS Homozygous carriers of the G allele of rs2070951 (p < .01) and of the A allele of rs5522 (p < .001) showed higher immediate recall of words as compared to carriers of C allele (rs2070951) or the G allele (rs5522). The CG haplotype was associated with decreased recall (p < .001). Likewise, in the subsample of older patients, the AA genotype of rs5522 was associated with higher MMSE scores (p < .05). CG haplotypes showed significantly reduced MMSE scores in comparison to the reference haplotype (β = -0.60; p < .01). CONCLUSIONS Our results indicate that the GG genotype of rs2070951 as well as the AA genotype of rs5522 are associated with diminished memory decline.
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Affiliation(s)
- Jan Terock
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.,Department of Psychiatry and Psychotherapy, Helios Hanseklinikum Stralsund, Stralsund, Germany
| | - Sandra Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Deborah Janowitz
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.,German Center for Neurodegenerative Diseases (DZNE), Greifswald, Germany
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
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32
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Dudek KA, Dion-Albert L, Lebel M, LeClair K, Labrecque S, Tuck E, Ferrer Perez C, Golden SA, Tamminga C, Turecki G, Mechawar N, Russo SJ, Menard C. Molecular adaptations of the blood-brain barrier promote stress resilience vs. depression. Proc Natl Acad Sci U S A 2020; 117:3326-3336. [PMID: 31974313 PMCID: PMC7022213 DOI: 10.1073/pnas.1914655117] [Citation(s) in RCA: 179] [Impact Index Per Article: 44.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Preclinical and clinical studies suggest that inflammation and vascular dysfunction contribute to the pathogenesis of major depressive disorder (MDD). Chronic social stress alters blood-brain barrier (BBB) integrity through loss of tight junction protein claudin-5 (cldn5) in male mice, promoting passage of circulating proinflammatory cytokines and depression-like behaviors. This effect is prominent within the nucleus accumbens, a brain region associated with mood regulation; however, the mechanisms involved are unclear. Moreover, compensatory responses leading to proper behavioral strategies and active resilience are unknown. Here we identify active molecular changes within the BBB associated with stress resilience that might serve a protective role for the neurovasculature. We also confirm the relevance of such changes to human depression and antidepressant treatment. We show that permissive epigenetic regulation of cldn5 expression and low endothelium expression of repressive cldn5-related transcription factor foxo1 are associated with stress resilience. Region- and endothelial cell-specific whole transcriptomic analyses revealed molecular signatures associated with stress vulnerability vs. resilience. We identified proinflammatory TNFα/NFκB signaling and hdac1 as mediators of stress susceptibility. Pharmacological inhibition of stress-induced increase in hdac1 activity rescued cldn5 expression in the NAc and promoted resilience. Importantly, we confirmed changes in HDAC1 expression in the NAc of depressed patients without antidepressant treatment in line with CLDN5 loss. Conversely, many of these deleterious CLDN5-related molecular changes were reduced in postmortem NAc from antidepressant-treated subjects. These findings reinforce the importance of considering stress-induced neurovascular pathology in depression and provide therapeutic targets to treat this mood disorder and promote resilience.
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Affiliation(s)
- Katarzyna A Dudek
- Department of Psychiatry and Neuroscience, Université Laval, Quebec City, QC G1V 0A6, Canada
- CERVO Brain Research Center, Quebec, QC G1J 2G3, Canada
| | - Laurence Dion-Albert
- Department of Psychiatry and Neuroscience, Université Laval, Quebec City, QC G1V 0A6, Canada
- CERVO Brain Research Center, Quebec, QC G1J 2G3, Canada
| | - Manon Lebel
- Department of Psychiatry and Neuroscience, Université Laval, Quebec City, QC G1V 0A6, Canada
- CERVO Brain Research Center, Quebec, QC G1J 2G3, Canada
| | - Katherine LeClair
- Center for Affective Neuroscience, Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029-5674
| | | | - Ellen Tuck
- Department of Psychiatry and Neuroscience, Université Laval, Quebec City, QC G1V 0A6, Canada
- CERVO Brain Research Center, Quebec, QC G1J 2G3, Canada
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Carmen Ferrer Perez
- Center for Affective Neuroscience, Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029-5674
- Department of Psychobiology, University of Valencia, 46010 Valencia, Spain
| | - Sam A Golden
- Center for Affective Neuroscience, Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029-5674
- Department of Biological Structure, University of Washington, Seattle, WA 98195
| | - Carol Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390
| | - Gustavo Turecki
- Department of Psychiatry, McGill University, Montreal, QC H3A 1A1, Canada
- Douglas Hospital Research Centre, Montreal, QC H4H 1R3, Canada
| | - Naguib Mechawar
- Department of Psychiatry, McGill University, Montreal, QC H3A 1A1, Canada
- Douglas Hospital Research Centre, Montreal, QC H4H 1R3, Canada
| | - Scott J Russo
- Center for Affective Neuroscience, Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029-5674
| | - Caroline Menard
- Department of Psychiatry and Neuroscience, Université Laval, Quebec City, QC G1V 0A6, Canada;
- CERVO Brain Research Center, Quebec, QC G1J 2G3, Canada
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33
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Zhu Z, Chen B, Na R, Fang W, Zhang W, Zhou Q, Zhou S, Lei H, Huang A, Chen T, Ni D, Gu Y, Liu J, Rao Y, Fang F. Heritability of human visual contour integration-an integrated genomic study. Eur J Hum Genet 2019; 27:1867-1875. [PMID: 31363184 PMCID: PMC6871533 DOI: 10.1038/s41431-019-0478-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Revised: 06/11/2019] [Accepted: 07/16/2019] [Indexed: 11/09/2022] Open
Abstract
Contour integration, a key visual function to deal with occlusion and discontinuity in natural scenes, is essential to human survival. However, individuals are not equally well equipped with this ability. In particular, contour integration deficiencies are commonly detected in patients with mental disorders, especially schizophrenia. To understand the underlying sources of these individual differences, the current study investigated the genetic basis of contour integration in humans. A total of 2619 normal participants were tested on their ability to detect continuous contours embedded in a cluttered background. Quantitative genomic analysis was performed, involving heritability estimation based on single nucleotide polymorphisms (SNPs) and association testing at SNP, gene, and pathway levels. Heritability estimation showed that common SNPs contributed 49.5% (standard error of the mean = 15.6%) of overall phenotypic variation, indicating moderate heritability of contour integration. Two-stage genome-wide association analysis (GWAS) detected four SNPs reaching genome-wide significance in the discovery test (N = 1931) but not passing the replication test (N = 688). Gene-level analysis further revealed a significant genome-wide association of a microRNA-encoding gene MIR1178 in both the discovery and replication cohorts. Another gene poly(A)-binding protein nuclear 1 like, cytoplasmic (PABPN1L) showed suggestive significance in the discovery cohort (p < 1 × 10-4) and was replicated in the replication cohort (p = 0.009). The pathway analysis did not detect any significant pathway. Taken together, this study identified significant gene associations with contour integration and provided support for a genetic transmission of the ability to perceive continuous contours in the environment.
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Affiliation(s)
- Zijian Zhu
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Biqing Chen
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
- Central Laboratory, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 210029, Nanjing, China
| | - Ren Na
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Wan Fang
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
- Beijing Innovative Center for Genomics, Peking University School of Life Sciences, and National Institute of Biological Sciences, 102206, Beijing, China
| | - Wenxia Zhang
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Qin Zhou
- College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Shanbi Zhou
- University-Town Hospital of Chongqing Medical University, 401331, Chongqing, China
| | - Han Lei
- College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Ailong Huang
- College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Tingmei Chen
- College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Dongsheng Ni
- Division of Molecular Nephrology and Creative Training Center for Undergraduates, M.O.E. Key Laboratory of Medical Diagnostics, College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Yuping Gu
- Division of Molecular Nephrology and Creative Training Center for Undergraduates, M.O.E. Key Laboratory of Medical Diagnostics, College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Jianing Liu
- Division of Molecular Nephrology and Creative Training Center for Undergraduates, M.O.E. Key Laboratory of Medical Diagnostics, College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Yi Rao
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China.
- Beijing Innovative Center for Genomics, Peking University School of Life Sciences, and National Institute of Biological Sciences, 102206, Beijing, China.
| | - Fang Fang
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China.
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, 100871, Beijing, China.
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34
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Kamboh MI, Fan KH, Yan Q, Beer JC, Snitz BE, Wang X, Chang CCH, Demirci FY, Feingold E, Ganguli M. Population-based genome-wide association study of cognitive decline in older adults free of dementia: identification of a novel locus for the attention domain. Neurobiol Aging 2019; 84:239.e15-239.e24. [PMID: 30954325 DOI: 10.1016/j.neurobiolaging.2019.02.024] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 01/20/2019] [Accepted: 02/28/2019] [Indexed: 12/27/2022]
Abstract
To identify novel loci that affect cognitive decline in older adults free of dementia, we conducted genome-wide and gene-based meta-analyses on longitudinal slopes of 5 cognitive domains (memory, executive function, language, attention/processing speed, and visuospatial ability) derived from 2 population-based cohorts. For decline over time in each cognitive domain, we normalized intraindividual slopes within each cohort, accounting for baseline age, sex, and years of education. Normalized slope for each domain was used in cohort-specific genome-wide analyses after including top principal components as covariates followed by genome-wide and gene-based meta-analyses. Both analyses revealed a novel WDFY2 locus at genome-wide (p = 3.37E-08) and gene-wide (p = 7.10E-07) significance levels for the attention/processing speed domain. In the GTEx eQTL analysis, genome-wide significant single-nucleotide polymorphism was associated with RNA expression levels of WDFY2 in several brain regions: cerebellar hemisphere (p = 1.07E-04), cerebellum (p = 6.92E-04), hippocampus (p = 2.18E-03) and cortex (p = 2.29E-02), and in whole blood (p = 4.41E-05). Our results suggest that WDFY2 genetic variation may affect individual differences in decline over time on tests of attention/processing speed.
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Affiliation(s)
- M Ilyas Kamboh
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA; Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Kang-Hsien Fan
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Qi Yan
- Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joanne C Beer
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Beth E Snitz
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Xingbin Wang
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Chung-Chou H Chang
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA; Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - F Yesim Demirci
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Eleanor Feingold
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mary Ganguli
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA; Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
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35
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Abstract
After more than 10 years of accumulated efforts, genome-wide association studies (GWAS) have led to many findings, most of which have been deposited into the GWAS Catalog. Between GWAS's inception and March 2017, the GWAS Catalog has collected 2429 studies, 1818 phenotypes, and 28,462 associated SNPs. We reclassified the psychology-related phenotypes into 217 reclassified phenotypes, which accounted for 514 studies and 7052 SNPs. In total, 1223 of the SNPs reached genome-wide significance. Of these, 147 were replicated for the same psychological trait in different studies. Another 305 SNPs were replicated within one original study. The SNPs rs2075650 and rs4420638 were linked to the most replications within a single reclassified phenotype or very similar reclassified phenotypes; both were associated with Alzheimer's disease (AD). Schizophrenia was associated with 74 within-phenotype SNPs reported in independents studies. Alzheimer's disease and schizophrenia were both linked to some physical phenotypes, including cholesterol and body mass index, through common GWAS signals. Alzheimer's disease also shared risk SNPs with age-related phenotypes such as age-related macular degeneration and longevity. Smoking-related SNPs were linked to lung cancer and respiratory function. Alcohol-related SNPs were associated with cardiovascular and digestive system phenotypes and disorders. Two separate studies also identified a shared risk SNP for bipolar disorder and educational attainment. This review revealed a list of reproducible SNPs worthy of future functional investigation. Additionally, by identifying SNPs associated with multiple phenotypes, we illustrated the importance of studying the relationships among phenotypes to resolve the nature of their causal links. The insights within this review will hopefully pave the way for future evidence-based genetic studies.
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Relationship between Alzheimer's disease-associated SNPs within the CLU gene, local DNA methylation and episodic verbal memory in healthy and schizophrenia subjects. Psychiatry Res 2019; 272:380-386. [PMID: 30599442 DOI: 10.1016/j.psychres.2018.12.134] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 10/16/2018] [Accepted: 12/24/2018] [Indexed: 11/24/2022]
Abstract
Genetic variation may impact on local DNA methylation patterns. Therefore, information about allele-specific DNA methylation (ASM) within disease-related loci has been proposed to be useful for the interpretation of GWAS results. To explore mechanisms that may underlie associations between Alzheimer's disease (AD) and schizophrenia risk CLU gene and verbal memory, one of the most affected cognitive domains in both conditions, we studied DNA methylation in a region between AD-associated SNPs rs9331888 and rs9331896 in 72 healthy individuals and 73 schizophrenia patients. Using single-molecule real-time bisulfite sequencing we assessed the haplotype-dependent ASM in this region. We then investigated whether its methylation could influence episodic verbal memory measured with the Rey Auditory Verbal Learning Test in these two cohorts. The region showed a complex methylation pattern, which was similar in healthy and schizophrenia individuals and unrelated to haplotypes. The pattern predicted memory scores in controls. The results suggest that epigenetic modifications within the CLU locus may play a role in memory variation, independent of ASM.
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Joshi HJ, Hansen L, Narimatsu Y, Freeze HH, Henrissat B, Bennett E, Wandall HH, Clausen H, Schjoldager KT. Glycosyltransferase genes that cause monogenic congenital disorders of glycosylation are distinct from glycosyltransferase genes associated with complex diseases. Glycobiology 2018; 28:284-294. [PMID: 29579191 DOI: 10.1093/glycob/cwy015] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Indexed: 12/12/2022] Open
Abstract
Glycosylation of proteins, lipids and proteoglycans in human cells involves at least 167 identified glycosyltransferases (GTfs), and these orchestrate the biosynthesis of diverse types of glycoconjugates and glycan structures. Mutations in this part of the genome-the GTf-genome-cause more than 58 rare, monogenic congenital disorders of glycosylation (CDGs). They are also statistically associated with a large number of complex phenotypes, diseases or predispositions to complex diseases based on Genome-Wide Association Studies (GWAS). CDGs are extremely rare and often with severe medical consequences. In contrast, GWAS are likely to identify more common genetic variations and generally involve less severe and distinct traits. We recently confirmed that structural defects in GTf genes are extremely rare, which seemed at odds with the large number of GWAS pointing to GTf-genes. To resolve this issue, we surveyed the GTf-genome for reported CDGs and GWAS candidates; we found little overlap between the two groups of genes. Moreover, GTf-genes implicated by CDG or GWAS appear to constitute different classes with respect to their: (i) predicted roles in glycosylation pathways; (ii) potential for partial redundancy by closely homologous genes; and (iii) transcriptional regulation as evaluated by RNAseq data. Our analysis suggest that more complex traits are caused by dysregulation rather than structural deficiency of GTfs, which suggests that some glycosylation reactions may be predicted to be under tight regulation for fine-tuning of important biological functions.
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Affiliation(s)
- Hiren J Joshi
- Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, DK-2200 Copenhagen N, Denmark
| | - Lars Hansen
- Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, DK-2200 Copenhagen N, Denmark
| | - Yoshiki Narimatsu
- Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, DK-2200 Copenhagen N, Denmark
| | - Hudson H Freeze
- Human Genetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Bernard Henrissat
- Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, DK-2200 Copenhagen N, Denmark.,Architecture et Fonction des Macromolécules Biologiques, Centre National de la Recherche Scientifique (CNRS), Aix-Marseille University, F-13288 Marseille, France
| | - Eric Bennett
- Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, DK-2200 Copenhagen N, Denmark
| | - Hans H Wandall
- Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, DK-2200 Copenhagen N, Denmark
| | - Henrik Clausen
- Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, DK-2200 Copenhagen N, Denmark
| | - Katrine T Schjoldager
- Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, DK-2200 Copenhagen N, Denmark
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Okada D, Endo S, Matsuda H, Ogawa S, Taniguchi Y, Katsuta T, Watanabe T, Iwaisaki H. An intersection network based on combining SNP coassociation and RNA coexpression networks for feed utilization traits in Japanese Black cattle. J Anim Sci 2018; 96:2553-2566. [PMID: 29762780 DOI: 10.1093/jas/sky170] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 05/11/2018] [Indexed: 11/12/2022] Open
Abstract
Genome-wide association studies (GWAS) of quantitative traits have detected numerous genetic associations, but they encounter difficulties in pinpointing prominent candidate genes and inferring gene networks. The present study used a systems genetics approach integrating GWAS results with external RNA-expression data to detect candidate gene networks in feed utilization and growth traits of Japanese Black cattle, which are matters of concern. A SNP coassociation network was derived from significant correlations between SNPs with effects estimated by GWAS across 7 phenotypic traits. The resulting network genes contained significant numbers of annotations related to the traits. Using bovine transcriptome data from a public database, an RNA coexpression network was inferred based on the similarity of expression patterns across different tissues. An intersection network was then generated by superimposing the SNP and RNA networks and extracting shared interactions. This intersection network contained 4 tissue-specific modules: nervous system, reproductive system, muscular system, and glands. To characterize the structure (topographical properties) of the 3 networks, their scale-free properties were evaluated, which revealed that the intersection network was the most scale-free. In the subnetwork containing the most connected transcription factors (URI1, ROCK2, and ETV6), most genes were widely expressed across tissues, and genes previously shown to be involved in the traits were found. Results indicated that the current approach might be used to construct a gene network that better reflects biological information, providing encouragement for the genetic dissection of economically important quantitative traits.
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Affiliation(s)
- Daigo Okada
- Faculty of Agriculture, Kyoto University, Kyoto, Japan
| | - Satoko Endo
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | | | | | - Yukio Taniguchi
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | | | - Toshio Watanabe
- National Livestock Breeding Center, Nishigo, Fukushima, Japan.,Shirakawa Institute of Animal Genetics, Japan Livestock Technology Association, Nishigo, Fukushima, Japan
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Genetic effects and gene-by-education interactions on episodic memory performance and decline in an aging population. Soc Sci Med 2018; 271:112039. [PMID: 30449520 DOI: 10.1016/j.socscimed.2018.11.019] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Revised: 10/19/2018] [Accepted: 11/08/2018] [Indexed: 01/13/2023]
Abstract
Both social and genetic factors contribute to cognitive impairment and decline, yet genetic factors identified through genome-wide association studies (GWAS) explain only a small portion of trait variability. This "missing heritability" may be due to rare, potentially functional, genetic variants not assessed by GWAS, as well as gene-by-social factor interactions not explicitly modeled. Gene-by-social factor interactions may also operate differently across race/ethnic groups. We selected 39 genes that had significant, replicated associations with cognition, dementia, and related traits in published GWAS. Using gene-based analysis (SKAT/iSKAT), we tested whether common and/or rare variants were associated with episodic memory performance and decline either alone or through interaction with education in >10,000 European ancestry (EA) and >2200 African ancestry (AA) respondents from the Health and Retirement Study (HRS). Nine genes in EA and five genes in AA were associated with memory performance or decline (p < 0.05), and these effects did not attenuate after adjusting for education. Interaction between education and CLPTM1 on memory performance was significant in AA (p = 0.003; FDR-adjusted p = 0.038) and nominally significant in EA (p = 0.026). In both ethnicities, low memory performance was associated with CLPTM1 genotype (rs10416261) only for those with less than high school education, and effects persisted after adjusting for APOE ε4. For over 70% of gene-by-education interactions across the genome that were at least nominally significant in either ethnic group (p < 0.05), genetic effects were only observed for those with less than high school education. These results suggest that genetic effects on memory identified in this study are not mediated by education, but there may be important gene-by-education interactions across the genome, including in the broader APOE genomic region, which operate independently of APOE ε4. This work illustrates the importance of developing theoretical frameworks and methodological approaches for integrating social and genomic data to study cognition across ethnic groups.
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Expression of TCN1 in Blood is Negatively Associated with Verbal Declarative Memory Performance. Sci Rep 2018; 8:12654. [PMID: 30139959 PMCID: PMC6107676 DOI: 10.1038/s41598-018-30898-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 08/01/2018] [Indexed: 12/29/2022] Open
Abstract
Memory is indispensable for normal cognitive functioning, and the ability to store and retrieve information is central to mental health and disease. The molecular mechanisms underlying complex memory functions are largely unknown, but multiple genome-wide association studies suggest that gene regulation may play a role in memory dysfunction. We performed a global gene expression analysis using a large and balanced case-control sample (n = 754) consisting of healthy controls and schizophrenia and bipolar disorder patients. Our aim was to discover genes that are differentially expressed in relation to memory performance. Gene expression in blood was measured using Illumina HumanHT-12 v4 Expression BeadChip and memory performance was assessed with the updated California Verbal Learning Test (CVLT-II). We found that elevated expression of the vitamin B12-related gene TCN1 (haptocorrin) was significantly associated with poorer memory performance after correcting for multiple testing (β = −1.50, p = 3.75e-08). This finding was validated by quantitative real-time PCR and followed up with additional analyses adjusting for confounding variables. We also attempted to replicate the finding in an independent case-control sample (n = 578). The relationship between TCN1 expression and memory impairment was comparable to that of important determinants of memory function such as age and sex, suggesting that TCN1 could be a clinically relevant marker of memory performance. Thus, we identify TCN1 as a novel genetic finding associated with poor memory function. This finding may have important implications for the diagnosis and treatment of vitamin B12-related conditions.
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41
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Genetic contributions to Trail Making Test performance in UK Biobank. Mol Psychiatry 2018; 23:1575-1583. [PMID: 28924184 DOI: 10.1038/mp.2017.189] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 06/26/2017] [Accepted: 07/13/2017] [Indexed: 01/13/2023]
Abstract
The Trail Making Test (TMT) is a widely used test of executive function and has been thought to be strongly associated with general cognitive function. We examined the genetic architecture of the TMT and its shared genetic aetiology with other tests of cognitive function in 23 821 participants from UK Biobank. The single-nucleotide polymorphism-based heritability estimates for trail-making measures were 7.9% (part A), 22.4% (part B) and 17.6% (part B-part A). Significant genetic correlations were identified between trail-making measures and verbal-numerical reasoning (rg>0.6), general cognitive function (rg>0.6), processing speed (rg>0.7) and memory (rg>0.3). Polygenic profile analysis indicated considerable shared genetic aetiology between trail making, general cognitive function, processing speed and memory (standardized β between 0.03 and 0.08). These results suggest that trail making is both phenotypically and genetically strongly associated with general cognitive function and processing speed.
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Vagaitseva KV, Bocharova AV, Marusin AV, Kolesnikova EA, Makeeva OA, Stepanov VA. Development of Multiplex Genotyping Method of Polymorphic Markers of Genes Associated with Cognitive Abilities. RUSS J GENET+ 2018. [DOI: 10.1134/s1022795418060121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Susceptibility to neurofibrillary tangles: role of the PTPRD locus and limited pleiotropy with other neuropathologies. Mol Psychiatry 2018; 23:1521-1529. [PMID: 28322283 PMCID: PMC5608624 DOI: 10.1038/mp.2017.20] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 01/03/2017] [Indexed: 01/16/2023]
Abstract
Tauopathies, including Alzheimer's disease (AD) and other neurodegenerative conditions, are defined by a pathological hallmark: neurofibrillary tangles (NFTs). NFT accumulation is thought to be closely linked to cognitive decline in AD. Here, we perform a genome-wide association study for NFT pathologic burden and report the association of the PTPRD locus (rs560380, P=3.8 × 10-8) in 909 prospective autopsies. The association is replicated in an independent data set of 369 autopsies. The association of PTPRD with NFT is not dependent on the accumulation of amyloid pathology. In contrast, we found that the ZCWPW1 AD susceptibility variant influences NFT accumulation and that this effect is mediated by an accumulation of amyloid β plaques. We also performed complementary analyses to identify common pathways that influence multiple neuropathologies that coexist with NFT and found suggestive evidence that certain loci may influence multiple different neuropathological traits, including tau, amyloid β plaques, vascular injury and Lewy bodies. Overall, these analyses offer an evaluation of genetic susceptibility to NFT, a common end point for multiple different pathologic processes.
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Forero DA, López-León S, González-Giraldo Y, Dries DR, Pereira-Morales AJ, Jiménez KM, Franco-Restrepo JE. APOE gene and neuropsychiatric disorders and endophenotypes: A comprehensive review. Am J Med Genet B Neuropsychiatr Genet 2018; 177:126-142. [PMID: 27943569 DOI: 10.1002/ajmg.b.32516] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Accepted: 11/07/2016] [Indexed: 12/14/2022]
Abstract
The Apolipoprotein E (APOE) gene is one of the main candidates in neuropsychiatric genetics, with hundreds of studies carried out in order to explore the possible role of polymorphisms in the APOE gene in a large number of neurological diseases, psychiatric disorders, and related endophenotypes. In the current article, we provide a comprehensive review of the structural and functional aspects of the APOE gene and its relationship with brain disorders. Evidence from genome-wide association studies and meta-analyses shows that the APOE gene has been significantly associated with several neurodegenerative disorders. Cellular and animal models show growing evidence of the key role of APOE in mechanisms of brain plasticity and behavior. Future analyses of the APOE gene might find a possible role in other neurological diseases and psychiatric disorders and related endophenotypes. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Diego A Forero
- Laboratory of Neuropsychiatric Genetics, Biomedical Sciences Research Group, School of Medicine, Universidad Antonio Nariño, Bogotá, Colombia.,PhD Program in Health Sciences, School of Medicine, Universidad Antonio Nariño, Bogotá, Colombia
| | | | - Yeimy González-Giraldo
- Departamento de Nutrición y Bioquímica, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Daniel R Dries
- Chemistry Department, Juniata College, Huntingdon, Pennsylvania
| | - Angela J Pereira-Morales
- Laboratory of Neuropsychiatric Genetics, Biomedical Sciences Research Group, School of Medicine, Universidad Antonio Nariño, Bogotá, Colombia
| | - Karen M Jiménez
- Laboratory of Neuropsychiatric Genetics, Biomedical Sciences Research Group, School of Medicine, Universidad Antonio Nariño, Bogotá, Colombia
| | - Juan E Franco-Restrepo
- PhD Program in Health Sciences, School of Medicine, Universidad Antonio Nariño, Bogotá, Colombia
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Sarnowski C, Satizabal CL, DeCarli C, Pitsillides AN, Cupples LA, Vasan RS, Wilson JG, Bis JC, Fornage M, Beiser AS, DeStefano AL, Dupuis J, Seshadri S. Whole genome sequence analyses of brain imaging measures in the Framingham Study. Neurology 2017; 90:e188-e196. [PMID: 29282330 PMCID: PMC5772158 DOI: 10.1212/wnl.0000000000004820] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Accepted: 09/22/2017] [Indexed: 11/15/2022] Open
Abstract
Objective We sought to identify rare variants influencing brain imaging phenotypes in the Framingham Heart Study by performing whole genome sequence association analyses within the Trans-Omics for Precision Medicine Program. Methods We performed association analyses of cerebral and hippocampal volumes and white matter hyperintensity (WMH) in up to 2,180 individuals by testing the association of rank-normalized residuals from mixed-effect linear regression models adjusted for sex, age, and total intracranial volume with individual variants while accounting for familial relatedness. We conducted gene-based tests for rare variants using (1) a sliding-window approach, (2) a selection of functional exonic variants, or (3) all variants. Results We detected new loci in 1p21 for cerebral volume (minor allele frequency [MAF] 0.005, p = 10−8) and in 16q23 for hippocampal volume (MAF 0.05, p = 2.7 × 10−8). Previously identified associations in 12q24 for hippocampal volume (rs7294919, p = 4.4 × 10−4) and in 17q25 for WMH (rs7214628, p = 2.0 × 10−3) were confirmed. Gene-based tests detected associations (p ≤ 2.3 × 10−6) in new loci for cerebral (5q13, 8p12, 9q31, 13q12-q13, 15q24, 17q12, 19q13) and hippocampal volumes (2p12) and WMH (3q13, 4p15) including Alzheimer disease– (UNC5D) and Parkinson disease–associated genes (GBA). Pathway analyses evidenced enrichment of associated genes in immunity, inflammation, and Alzheimer disease and Parkinson disease pathways. Conclusions Whole genome sequence–wide search reveals intriguing new loci associated with brain measures. Replication of novel loci is needed to confirm these findings.
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Affiliation(s)
- Chloé Sarnowski
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston.
| | - Claudia L Satizabal
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston
| | - Charles DeCarli
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston
| | - Achilleas N Pitsillides
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston
| | - L Adrienne Cupples
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston
| | - Ramachandran S Vasan
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston
| | - James G Wilson
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston
| | - Joshua C Bis
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston
| | - Myriam Fornage
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston
| | - Alexa S Beiser
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston
| | - Anita L DeStefano
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston
| | - Josée Dupuis
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston
| | - Sudha Seshadri
- From the Department of Epidemiology (C.S., L.A.C., A.S.B., A.L.D., J.D.), Boston University School of Public Health; Boston University and the NHLBI's Framingham Heart Study (C.L.S., A.N.P., L.A.C., R.S.V., A.S.B., A.L.D., J.D., S.S.); Departments of Neurology (C.L.S., A.S.B., A.L.D., S.S.) and Cardiology, Preventive Medicine & Epidemiology (R.S.V.), Boston University School of Medicine, Boston, MA; Department of Neurology and Center for Neuroscience (C.D.), University of California at Davis; Department of Physiology and Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, University of Washington, Seattle; and Institute of Molecular Medicine (M.F.), University of Texas Health Science Center, Houston
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Bearden CE, Glahn DC. Cognitive genomics: Searching for the genetic roots of neuropsychological functioning. Neuropsychology 2017; 31:1003-1019. [PMID: 29376674 PMCID: PMC5791763 DOI: 10.1037/neu0000412] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVE Human cognition has long been known to be under substantial genetic control. With the complete mapping of the human genome, genome-wide association studies for many complex traits have proliferated; however, the highly polygenic nature of intelligence has made the identification of the precise genes that influence both global and specific cognitive abilities more difficult than anticipated. METHOD Here, we review the latest developments in the genomics of cognition, including a discussion of methodological advances in the genetic analysis of complex traits, and shared genetic contributions to cognitive abilities and neuropsychiatric disorders. RESULTS A wealth of twin and family studies have provided compelling evidence for a strong heritable component of both global and specific cognitive abilities, and for the existence of "generalist genes" responsible for a large portion of the variance in diverse cognitive abilities. Increasingly sophisticated analytic tools and ever-larger sample sizes are now facilitating the identification of specific genetic and molecular underpinnings of cognitive abilities, leading to optimism regarding possibilities for novel treatments for illnesses related to cognitive function. CONCLUSIONS We conclude with a set of future directions for the field, which will further accelerate discoveries regarding the biological pathways relevant to cognitive abilities. These, in turn, may be further interrogated in order to link biological mechanisms to behavior. (PsycINFO Database Record
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Affiliation(s)
- Carrie E Bearden
- Department of Psychiatry, University of California at Los Angeles
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Xu C, Zhang D, Wu Y, Tian X, Pang Z, Li S, Tan Q. A genome-wide association study of cognitive function in Chinese adult twins. Biogerontology 2017; 18:811-819. [PMID: 28808816 DOI: 10.1007/s10522-017-9725-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 08/09/2017] [Indexed: 01/16/2023]
Abstract
Multiple loci or genes have been identified using genome-wide association studies mainly in western countries but with inconsistent results. No similar studies have been conducted in the world's largest and rapidly aging Chinese population. The paper aimed to identify the specific genetic variants associated with cognitive function in middle and old-aged Chinese dizygotic twins (DZ). Cognitive function was measured on 139 pairs of DZ by Montreal Cognitive Assessment. The subjects were genotyped at 1048575 SNP positions. Regression-based mixed-effect kinship model of GWAS was conducted to test the SNPs. Gene-based analysis was performed on VEGAS2. The statistically significant genes were then subject to gene set enrichment analysis to further identify the specific biological pathways associated with cognitive function. No SNPs reached genome-wide significance although there were 13 SNPs of suggestive significance (P < 10-5). Gene-based analysis found 823 significant genes topped by TNRC18P1 (P = 1.00 × 10-6), FGFR1OP2 (P = 6.00 × 10-6), and AKR1D1 (P = 2.30 × 10-5). Enrichment analysis identified 46 biological pathways, mainly involving in signaling transmission, metabolic process and Alzheimer's disease. Analysis of SNPs involved in the regulatory motif detected cell-type specific enhancers involving aorta and colon smooth muscle both have been reported to implicate in cognition. We conclude that genetic variations are significantly involved in functional genes, biological pathways and the regulatory domain that mediate cognitive performances.
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Affiliation(s)
- Chunsheng Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, Shandong, China.,Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China.,Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, Shandong, China.
| | - Yili Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, Shandong, China
| | - Xiaocao Tian
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China.,Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Zengchang Pang
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, Shandong, China.,Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China.,Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Shuxia Li
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Qihua Tan
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark
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48
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Persson N, Persson J, Lavebratt C, Fischer H. Effects of DARPP-32 Genetic Variation on Prefrontal Cortex Volume and Episodic Memory Performance. Front Neurosci 2017; 11:244. [PMID: 28553197 PMCID: PMC5425487 DOI: 10.3389/fnins.2017.00244] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2016] [Accepted: 04/12/2017] [Indexed: 11/30/2022] Open
Abstract
Despite evidence of a fundamental role of DARPP-32 in integrating dopamine and glutamate signaling, studies examining gene coding for DARPP-32 in relation to neural and behavioral correlates in humans are scarce. Post mortem findings suggest genotype specific expressions of DARPP-32 in the dorsal frontal lobes. Therefore, we investigated the effects of genomic variation in DARPP-32 coding on frontal lobe volumes and episodic memory. Volumetric data from the dorsolateral (DLPFC), and visual cortices (VC) were obtained from 61 younger and older adults (♀54%). The major homozygote G, T, or A genotypes in single nucleotide polymorphisms (SNPs: rs879606; rs907094; rs3764352, the two latter in complete linkage disequilibrium), at the DARPP-32 regulating PPP1R1B gene, influenced frontal gray matter volume and episodic memory (EM). Homozygous carriers of allelic variants with lower DARPP-32 expression had an overall larger prefrontal volume in addition to greater EM recall accuracy after accounting for the influence of age. The SNPs did not influence VC volume. The genetic effects on DLPFC were greater in young adults and selective to this group for EM. Our findings suggest that genomic variation maps onto individual differences in frontal brain volumes and cognitive functions. Larger DLPFC volumes were also related to better EM performance, suggesting that gene-related differences in frontal gray matter may contribute to individual differences in EM. These results need further replication from experimental and longitudinal reports to determine directions of causality.
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Affiliation(s)
- Ninni Persson
- Department of Psychology, Stockholm UniversityStockholm, Sweden.,Aging Research Center, Karolinska Institutet and Stockholm UniversityStockholm, Sweden
| | - Jonas Persson
- Aging Research Center, Karolinska Institutet and Stockholm UniversityStockholm, Sweden
| | - Catharina Lavebratt
- Department of Molecular Medicine and Surgery, Karolinska Institutet and Center for Molecular Medicine, Karolinska University HospitalStockholm, Sweden
| | - Håkan Fischer
- Department of Psychology, Stockholm UniversityStockholm, Sweden.,Aging Research Center, Karolinska Institutet and Stockholm UniversityStockholm, Sweden
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A Dopamine Receptor genetic variant enhances perceptual speed in cognitive healthy subjects. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2017; 3:254-261. [PMID: 28993814 PMCID: PMC5630172 DOI: 10.1016/j.trci.2017.03.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Introduction Cognition is under strong genetic control, yet the specific genes are unknown. Methods One hundred and fifty-three cognitive healthy European subjects from the Reference Abilities Study (RANN) were genotyped for 1,160 variants within 446 neuropsychiatric genes. Adjusted linear regression models evaluated the association between the genetic variants and four reference abilities (Vocabulary, Episodic Memory, Perceptual Speed, and Reasoning). Results One hundred and fifty-nine variants nominally were found significant in the RANN cohort and re-evaluated in an independent cohort of 868 cognitive healthy subjects from the Religious Orders Study and Rush Memory Aging Project. Meta-analysis yielded a Bonferroni adjusted statistically significant association between perceptual speed and a variant located in the promoter of the dopamine receptor D4 gene, rs3756450 (β = 0.23, standard error = 0.05, Pmeta = 2.3 × 10−5). Discussion Our data suggest that genetic variation in a dopamine pathway gene influences perceptual speed performance in cognitively healthy individuals.
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Athanasiu L, Giddaluru S, Fernandes C, Christoforou A, Reinvang I, Lundervold AJ, Nilsson LG, Kauppi K, Adolfsson R, Eriksson E, Sundet K, Djurovic S, Espeseth T, Nyberg L, Steen VM, Andreassen OA, Le Hellard S. A genetic association study of CSMD1 and CSMD2 with cognitive function. Brain Behav Immun 2017; 61:209-216. [PMID: 27890662 DOI: 10.1016/j.bbi.2016.11.026] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Revised: 11/11/2016] [Accepted: 11/23/2016] [Indexed: 01/05/2023] Open
Abstract
The complement cascade plays a role in synaptic pruning and synaptic plasticity, which seem to be involved in cognitive functions and psychiatric disorders. Genetic variants in the closely related CSMD1 and CSMD2 genes, which are implicated in complement regulation, are associated with schizophrenia. Since patients with schizophrenia often show cognitive impairments, we tested whether variants in CSMD1 and CSMD2 are also associated with cognitive functions per se. We took a discovery-replication approach, using well-characterized Scandinavian cohorts. A total of 1637 SNPs in CSMD1 and 206 SNPs in CSMD2 were tested for association with cognitive functions in the NCNG sample (Norwegian Cognitive NeuroGenetics; n=670). Replication testing of SNPs with p-value<0.001 (7 in CSMD1 and 3 in CSMD2) was carried out in the TOP sample (Thematically Organized Psychosis; n=1025) and the BETULA sample (Betula Longitudinal Study on aging, memory and dementia; n=1742). Finally, we conducted a meta-analysis of these SNPs using all three samples. The previously identified schizophrenia marker in CSMD1 (SNP rs10503253) was also included. The strongest association was observed between the CSMD1 SNP rs2740931 and performance in immediate episodic memory (p-value=5×10-6, minor allele A, MAF 0.48-0.49, negative direction of effect). This association reached the study-wide significance level (p⩽1.2×10-5). SNP rs10503253 was not significantly associated with cognitive functions in our samples. In conclusion, we studied n=3437 individuals and found evidence that a variant in CSMD1 is associated with cognitive function. Additional studies of larger samples with cognitive phenotypes will be needed to further clarify the role of CSMD1 in cognitive phenotypes in health and disease.
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Affiliation(s)
- Lavinia Athanasiu
- NORMENT - K.G. Jebsen Center for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway; NORMENT - K.G. Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Sudheer Giddaluru
- NORMENT - K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, 5021 Bergen, Norway
| | - Carla Fernandes
- NORMENT - K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, 5021 Bergen, Norway
| | - Andrea Christoforou
- NORMENT - K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, 5021 Bergen, Norway
| | - Ivar Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Astri J Lundervold
- Department of Biological and Medical Psychology, Jonas Lies vei 91, Bergen, Norway; K. G. Jebsen Center for Research on Neuropsychiatric Disorders, University of Bergen, Bergen 5009, Norway
| | - Lars-Göran Nilsson
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden; Aging Research Center, Karolinska Institutet, Stockholm, Sweden
| | - Karolina Kauppi
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden; Department of Integrative Medical Biology, Umea University, 90187 Umeå, Sweden
| | - Rolf Adolfsson
- Department of Clinical Sciences, Psychiatry, Umea University, SE 901 85 Umeå, Sweden
| | - Elias Eriksson
- Department of Pharmacology, Institute of Physiology and Neuroscience, Sahlgrenska Academy, Göteborg University, SE 405 30 Göteborg, Sweden
| | - Kjetil Sundet
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Srdjan Djurovic
- NORMENT - K.G. Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; NORMENT - K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway
| | - Thomas Espeseth
- NORMENT - K.G. Jebsen Center for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden; Department of Integrative Medical Biology, Umea University, 90187 Umeå, Sweden; Department of Radiation Sciences, Umeå University, 90187 Umeå, Sweden
| | - Vidar M Steen
- NORMENT - K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, 5021 Bergen, Norway
| | - Ole A Andreassen
- NORMENT - K.G. Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Stephanie Le Hellard
- NORMENT - K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, 5021 Bergen, Norway.
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