1
|
Im Y, Kang SH, Park G, Yoo H, Chun MY, Kim CH, Park CJ, Kim JP, Jang H, Kim HJ, Oh K, Koh SB, Lee JM, Na DL, Seo SW, Kim H. Ethnic differences in the effects of apolipoprotein E ɛ4 and vascular risk factors on accelerated brain aging. Brain Commun 2024; 6:fcae213. [PMID: 39007039 PMCID: PMC11242459 DOI: 10.1093/braincomms/fcae213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 04/30/2024] [Accepted: 07/09/2024] [Indexed: 07/16/2024] Open
Abstract
The frequency of the apolipoprotein E ɛ4 allele and vascular risk factors differs among ethnic groups. We aimed to assess the combined effects of apolipoprotein E ɛ4 and vascular risk factors on brain age in Korean and UK cognitively unimpaired populations. We also aimed to determine the differences in the combined effects between the two populations. We enrolled 2314 cognitively unimpaired individuals aged ≥45 years from Korea and 6942 cognitively unimpaired individuals from the UK, who were matched using propensity scores. Brain age was defined using the brain age index. The apolipoprotein E genotype (ɛ4 carriers, ɛ2 carriers and ɛ3/ɛ3 homozygotes) and vascular risk factors (age, hypertension and diabetes) were considered predictors. Apolipoprotein E ɛ4 carriers in the Korean (β = 0.511, P = 0.012) and UK (β = 0.302, P = 0.006) groups had higher brain age index values. The adverse effects of the apolipoprotein E genotype on brain age index values increased with age in the Korean group alone (ɛ2 carriers × age, β = 0.085, P = 0.009; ɛ4 carriers × age, β = 0.100, P < 0.001). The apolipoprotein E genotype, age and ethnicity showed a three-way interaction with the brain age index (ɛ2 carriers × age × ethnicity, β = 0.091, P = 0.022; ɛ4 carriers × age × ethnicity, β = 0.093, P = 0.003). The effects of apolipoprotein E on the brain age index values were more pronounced in individuals with hypertension in the Korean group alone (ɛ4 carriers × hypertension, β = 0.777, P = 0.038). The apolipoprotein E genotype, age and ethnicity showed a three-way interaction with the brain age index (ɛ4 carriers × hypertension × ethnicity, β=1.091, P = 0.014). We highlight the ethnic differences in the combined effects of the apolipoprotein E ɛ4 genotype and vascular risk factors on accelerated brain age. These findings emphasize the need for ethnicity-specific strategies to mitigate apolipoprotein E ɛ4-related brain aging in cognitively unimpaired individuals.
Collapse
Affiliation(s)
- Yanghee Im
- USC Steven Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea
| | - Sung Hoon Kang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul 08308, Korea
| | - Gilsoon Park
- USC Steven Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
| | - Heejin Yoo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Min Young Chun
- Department of Neurology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin 16995, Korea
| | - Chi-Hun Kim
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Korea
| | - Chae Jung Park
- Research Institute, National Cancer Center, Goyang 10408, Korea
| | - Jun Pyo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Kyungmi Oh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul 08308, Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul 08308, Korea
| | - Jong-Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul 06355, Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul 06355, Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul 06351, Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Korea
| | - Hosung Kim
- USC Steven Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
| |
Collapse
|
2
|
Sosa AL, Brucki SMD, Crivelli L, Lopera FJ, Acosta DM, Acosta‐Uribe J, Aguilar D, Aguilar‐Navarro SG, Allegri RF, Bertolucci PHF, Calandri IL, Carrillo MC, Mendez PAC, Cornejo‐Olivas M, Custodio N, Damian A, de Souza LC, Duran‐Aniotz C, García AM, García‐Peña C, Gonzales MM, Grinberg LT, Ibanez AM, Illanes‐Manrique MZ, Jack CR, Leon‐Salas JM, Llibre‐Guerra JJ, Luna‐Muñoz J, Matallana D, Miller BL, Naci L, Parra MA, Pericak‐Vance M, Piña‐Escudero SD, França Resende EDP, Ringman JM, Sevlever G, Slachevsky A, Suemoto CK, Valcour V, Villegas‐Lanau A, Yassuda MS, Mahinrad S, Sexton C. Advancements in dementia research, diagnostics, and care in Latin America: Highlights from the 2023 Alzheimer's Association International conference satellite symposium in Mexico City. Alzheimers Dement 2024; 20:5009-5026. [PMID: 38801124 PMCID: PMC11247679 DOI: 10.1002/alz.13850] [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: 12/06/2023] [Accepted: 01/03/2024] [Indexed: 05/29/2024]
Abstract
INTRODUCTION While Latin America (LatAm) is facing an increasing burden of dementia due to the rapid aging of the population, it remains underrepresented in dementia research, diagnostics, and care. METHODS In 2023, the Alzheimer's Association hosted its eighth satellite symposium in Mexico, highlighting emerging dementia research, priorities, and challenges within LatAm. RESULTS Significant initiatives in the region, including intracountry support, showcased their efforts in fostering national and international collaborations; genetic studies unveiled the unique genetic admixture in LatAm; researchers conducting emerging clinical trials discussed ongoing culturally specific interventions; and the urgent need to harmonize practices and studies, improve diagnosis and care, and use affordable biomarkers in the region was highlighted. DISCUSSION The myriad of topics discussed at the 2023 AAIC satellite symposium highlighted the growing research efforts in LatAm, providing valuable insights into dementia biology, genetics, epidemiology, treatment, and care.
Collapse
|
3
|
Rahimzadeh N, Srinivasan SS, Zhang J, Swarup V. Gene networks and systems biology in Alzheimer's disease: Insights from multi-omics approaches. Alzheimers Dement 2024; 20:3587-3605. [PMID: 38534018 PMCID: PMC11095483 DOI: 10.1002/alz.13790] [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: 10/20/2023] [Revised: 01/25/2024] [Accepted: 02/17/2024] [Indexed: 03/28/2024]
Abstract
Despite numerous studies in the field of dementia and Alzheimer's disease (AD), a comprehensive understanding of this devastating disease remains elusive. Bulk transcriptomics have provided insights into the underlying genetic factors at a high level. Subsequent technological advancements have focused on single-cell omics, encompassing techniques such as single-cell RNA sequencing and epigenomics, enabling the capture of RNA transcripts and chromatin states at a single cell or nucleus resolution. Furthermore, the emergence of spatial omics has allowed the study of gene responses in the vicinity of amyloid beta plaques or across various brain regions. With the vast amount of data generated, utilizing gene regulatory networks to comprehensively study this disease has become essential. This review delves into some techniques employed in the field of AD, explores the discoveries made using these techniques, and provides insights into the future of the field.
Collapse
Affiliation(s)
- Negin Rahimzadeh
- Mathematical, Computational, and Systems Biology (MCSB) ProgramUniversity of California IrvineIrvineCaliforniaUSA
| | - Shushrruth Sai Srinivasan
- Mathematical, Computational, and Systems Biology (MCSB) ProgramUniversity of California IrvineIrvineCaliforniaUSA
| | - Jing Zhang
- Department of Computer ScienceUniversity of CaliforniaIrvineCaliforniaUSA
| | - Vivek Swarup
- Department of Neurobiology and BehaviorUniversity of California IrvineIrvineCaliforniaUSA
- Institute for Memory Impairments and Neurological Disorders (MIND)University of California IrvineIrvineCaliforniaUSA
| |
Collapse
|
4
|
Lee S, Hecker J, Hahn G, Mullin K, Lutz SM, Tanzi RE, Lange C, Prokopenko D. On the effect heterogeneity of established disease susceptibility loci for Alzheimer's disease across different genetic ancestries. Alzheimers Dement 2024; 20:3397-3405. [PMID: 38563508 PMCID: PMC11095441 DOI: 10.1002/alz.13796] [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: 11/17/2023] [Revised: 02/14/2024] [Accepted: 02/23/2024] [Indexed: 04/04/2024]
Abstract
INTRODUCTION Genome-wide association studies have identified numerous disease susceptibility loci (DSLs) for Alzheimer's disease (AD). However, only a limited number of studies have investigated the dependence of the genetic effect size of established DSLs on genetic ancestry. METHODS We utilized the whole genome sequencing data from the Alzheimer's Disease Sequencing Project (ADSP) including 35,569 participants. A total of 25,459 subjects in four distinct populations (African ancestry, non-Hispanic White, admixed Hispanic, and Asian) were analyzed. RESULTS We found that nine DSLs showed significant heterogeneity across populations. Single nucleotide polymorphism (SNP) rs2075650 in translocase of outer mitochondrial membrane 40 (TOMM40) showed the largest heterogeneity (Cochran's Q = 0.00, I2 = 90.08), followed by other SNPs in apolipoprotein C1 (APOC1) and apolipoprotein E (APOE). Two additional loci, signal-induced proliferation-associated 1 like 2 (SIPA1L2) and solute carrier 24 member 4 (SLC24A4), showed significant heterogeneity across populations. DISCUSSION We observed substantial heterogeneity for the APOE-harboring 19q13.32 region with TOMM40/APOE/APOC1 genes. The largest risk effect was seen among African Americans, while Asians showed a surprisingly small risk effect.
Collapse
Affiliation(s)
- Sanghun Lee
- Department of Medical Consilience, Division of Medicine, Graduate school, Dankook University, Yongin-si, Gyeonggi-do, South Korea
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Julian Hecker
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Georg Hahn
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Kristina Mullin
- Genetics and Aging Unit and McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Charlestown, Massachusetts, USA
| | - Sharon M Lutz
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, Massachusetts, USA
| | - Rudolph E Tanzi
- Genetics and Aging Unit and McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Charlestown, Massachusetts, USA
| | - Christoph Lange
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Dmitry Prokopenko
- Genetics and Aging Unit and McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Charlestown, Massachusetts, USA
| |
Collapse
|
5
|
Vance JM, Farrer LA, Huang Y, Cruchaga C, Hyman BT, Pericak-Vance MA, Goate AM, Greicius MD, Griswold AJ, Haines JL, Tcw J, Schellenberg GD, Tsai LH, Herz J, Holtzman DM. Report of the APOE4 National Institute on Aging/Alzheimer Disease Sequencing Project Consortium Working Group: Reducing APOE4 in Carriers is a Therapeutic Goal for Alzheimer's Disease. Ann Neurol 2024; 95:625-634. [PMID: 38180638 DOI: 10.1002/ana.26864] [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: 10/28/2023] [Revised: 12/06/2023] [Accepted: 12/09/2023] [Indexed: 01/06/2024]
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder and one of the leading causes of disability worldwide. The apolipoprotein E4 gene (APOE4) is the strongest genetic risk factor for AD. In 2023, the APOE4 National Institute on Aging/Alzheimer's Disease Sequencing Project working group came together to gather data and discuss the question of whether to reduce or increase APOE4 as a therapeutic intervention for AD. It was the unanimous consensus that cumulative data from multiple studies in humans and animal models support that lowering APOE4 should be a target for therapeutic approaches for APOE4 carriers. ANN NEUROL 2024;95:625-634.
Collapse
Affiliation(s)
- Jeffery M Vance
- John T. McDonald Department of Human Genetics, John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA
| | - Lindsay A Farrer
- Departments of Medicine (Biomedical Genetics), Neurology and Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Departments of Epidemiology and Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yadong Huang
- Department of Neurology, Gladstone Center for Translational Advancement, Gladstone Institute of Neurological Disease, University of California, San Francisco, San Francisco, CA, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Bradley T Hyman
- Alzheimer Research Unit, Department of Neurology, The Massachusetts General Hospital Institute for Neurodegenerative Disease, Harvard Medical School, Boston, MA, USA
| | - Margaret A Pericak-Vance
- John T. McDonald Department of Human Genetics, John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA
| | - Alison M Goate
- Departments of Genetics & Genomic Sciences, Ronald M. Loeb Center for Alzheimer's disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Anthony J Griswold
- John P. Hussman Institute for Human Genomics, The Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jonathan L Haines
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Julia Tcw
- Departments of Pharmacology, Physiology & Biophysics, Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Bioinformatics Program, Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Li-Huei Tsai
- Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Joachim Herz
- Departments of Molecular Genetics, Neuroscience, Neurology, Center for Translational Neurodegeneration Research, UT Southwestern, Dallas, TX, USA
| | - David M Holtzman
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
| |
Collapse
|
6
|
Ho P, Yu WH, Tee BL, Lee W, Li C, Gu Y, Yokoyama JS, Reyes‐Dumeyer D, Choi Y, Yang H, Vardarajan BN, Tzuang M, Lieu K, Lu A, Faber KM, Potter ZD, Revta C, Kirsch M, McCallum J, Mei D, Booth B, Cantwell LB, Chen F, Chou S, Clark D, Deng M, Hong TH, Hwang L, Jiang L, Joo Y, Kang Y, Kim ES, Kim H, Kim K, Kuzma AB, Lam E, Lanata SC, Lee K, Li D, Li M, Li X, Liu C, Liu C, Liu L, Lupo J, Nguyen K, Pfleuger SE, Qian J, Qian W, Ramirez V, Russ KA, Seo EH, Song YE, Tartaglia MC, Tian L, Torres M, Vo N, Wong EC, Xie Y, Yau EB, Yi I, Yu V, Zeng X, St George‐Hyslop P, Au R, Schellenberg GD, Dage JL, Varma R, Hsiung GR, Rosen H, Henderson VW, Foroud T, Kukull WA, Peavy GM, Lee H, Feldman HH, Mayeux R, Chui H, Jun GR, Ta Park VM, Chow TW, Wang L. Asian Cohort for Alzheimer's Disease (ACAD) pilot study on genetic and non-genetic risk factors for Alzheimer's disease among Asian Americans and Canadians. Alzheimers Dement 2024; 20:2058-2071. [PMID: 38215053 PMCID: PMC10984480 DOI: 10.1002/alz.13611] [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: 05/17/2023] [Revised: 09/25/2023] [Accepted: 11/27/2023] [Indexed: 01/14/2024]
Abstract
INTRODUCTION Clinical research in Alzheimer's disease (AD) lacks cohort diversity despite being a global health crisis. The Asian Cohort for Alzheimer's Disease (ACAD) was formed to address underrepresentation of Asians in research, and limited understanding of how genetics and non-genetic/lifestyle factors impact this multi-ethnic population. METHODS The ACAD started fully recruiting in October 2021 with one central coordination site, eight recruitment sites, and two analysis sites. We developed a comprehensive study protocol for outreach and recruitment, an extensive data collection packet, and a centralized data management system, in English, Chinese, Korean, and Vietnamese. RESULTS ACAD has recruited 606 participants with an additional 900 expressing interest in enrollment since program inception. DISCUSSION ACAD's traction indicates the feasibility of recruiting Asians for clinical research to enhance understanding of AD risk factors. ACAD will recruit > 5000 participants to identify genetic and non-genetic/lifestyle AD risk factors, establish blood biomarker levels for AD diagnosis, and facilitate clinical trial readiness. HIGHLIGHTS The Asian Cohort for Alzheimer's Disease (ACAD) promotes awareness of under-investment in clinical research for Asians. We are recruiting Asian Americans and Canadians for novel insights into Alzheimer's disease. We describe culturally appropriate recruitment strategies and data collection protocol. ACAD addresses challenges of recruitment from heterogeneous Asian subcommunities. We aim to implement a successful recruitment program that enrolls across three Asian subcommunities.
Collapse
Affiliation(s)
- Pei‐Chuan Ho
- Penn Neurodegeneration Genomics CenterDepartment of PathologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- The Leonard Davis Institute of Health EconomicsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Wai Haung Yu
- Brain Health and Imaging Center and Geriatric Mental Health ServicesCentre for Addiction and Mental HealthTorontoOntarioCanada
- Department of Pharmacology and ToxicologyUniversity of TorontoTorontoOntarioCanada
| | - Boon Lead Tee
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Global Brain Health InstituteUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Wan‐Ping Lee
- Penn Neurodegeneration Genomics CenterDepartment of PathologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Clara Li
- Alzheimer's Disease Research CenterDepartment of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Yian Gu
- Department of NeurologyColumbia University Medical CenterNew YorkNew YorkUSA
| | - Jennifer S. Yokoyama
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Dolly Reyes‐Dumeyer
- Gertrude H. Sergievsky CenterTaub Institute of Aging Brain and Department of Neurology at Columbia UniversityNew YorkNew YorkUSA
| | - Yun‐Beom Choi
- Englewood HealthEnglewoodNew JerseyUSA
- Department of NeurologyRutgers New Jersey Medical SchoolNewarkNew JerseyUSA
| | - Hyun‐Sik Yang
- Center for Alzheimer Research and TreatmentDepartment of NeurologyBrigham and Women's HospitalBostonMassachusettsUSA
- Harvard Medical SchoolBostonMassachusettsUSA
- Broad Institute of MIT and HarvardCambridgeMassachusettsUSA
| | - Badri N. Vardarajan
- Gertrude H. Sergievsky CenterTaub Institute of Aging Brain and Department of Neurology at Columbia UniversityNew YorkNew YorkUSA
| | - Marian Tzuang
- Department of Community Health SystemsUniversity of California San Francisco School of NursingSan FranciscoCaliforniaUSA
| | - Kevin Lieu
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Anna Lu
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Kelley M. Faber
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Zoë D. Potter
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Carolyn Revta
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Maureen Kirsch
- Penn Neurodegeneration Genomics CenterDepartment of PathologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Jake McCallum
- Geriatric Mental Health Services, Centre for Addiction and Mental HealthTorontoOntarioCanada
| | - Diana Mei
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Briana Booth
- Penn Neurodegeneration Genomics CenterDepartment of PathologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Laura B. Cantwell
- Penn Neurodegeneration Genomics CenterDepartment of PathologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Fangcong Chen
- Department of NeurologyColumbia University Medical CenterNew YorkNew YorkUSA
| | - Sephera Chou
- Geriatric Mental Health Services, Centre for Addiction and Mental HealthTorontoOntarioCanada
| | - Dewi Clark
- Geriatric Mental Health Services, Centre for Addiction and Mental HealthTorontoOntarioCanada
| | - Michelle Deng
- Geriatric Mental Health Services, Centre for Addiction and Mental HealthTorontoOntarioCanada
| | - Ting Hei Hong
- University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Ling‐Jen Hwang
- Stanford Alzheimer's Disease Research CenterStanfordCaliforniaUSA
| | - Lilly Jiang
- University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Yoonmee Joo
- Department of Community Health SystemsUniversity of California San Francisco School of NursingSan FranciscoCaliforniaUSA
| | - Younhee Kang
- College of NursingGraduate Program in System Health Science and EngineeringEwha Womans UniversitySeoulRepublic of Korea
| | - Ellen S. Kim
- Division of NeurologyUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Hoowon Kim
- Department of NeurologyChosun University Hospital, Dong‐guGwangjuRepublic of Korea
| | - Kyungmin Kim
- Department of Child Development and Family StudiesCollege of Human EcologySeoul National UniversityJongno‐guSeoulRepublic of Korea
| | - Amanda B. Kuzma
- Penn Neurodegeneration Genomics CenterDepartment of PathologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Eleanor Lam
- Geriatric Mental Health Services, Centre for Addiction and Mental HealthTorontoOntarioCanada
| | - Serggio C. Lanata
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Kunho Lee
- Biomedical Science, College of Natural SciencesChosun UniversityGwanak‐guSeoulRepublic of Korea
| | - Donghe Li
- Department of Medicine (Biomedical Genetics)Boston University School of MedicineBostonMassachusettsUSA
| | - Mingyao Li
- Department of BiostatisticsEpidemiology and InformaticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Xiang Li
- Geriatric Mental Health Services, Centre for Addiction and Mental HealthTorontoOntarioCanada
| | - Chia‐Lun Liu
- Penn Neurodegeneration Genomics CenterDepartment of PathologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Collin Liu
- Department of NeurologyKeck School of Medicine at University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Linghsi Liu
- Alzheimer's Disease Research CenterDepartment of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Jody‐Lynn Lupo
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Khai Nguyen
- Department of MedicineUniversity of California at San DiegoLa JollaCaliforniaUSA
| | - Shannon E. Pfleuger
- Division of NeurologyUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - James Qian
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Winnie Qian
- Geriatric Mental Health Services, Centre for Addiction and Mental HealthTorontoOntarioCanada
| | - Veronica Ramirez
- Stanford Alzheimer's Disease Research CenterStanfordCaliforniaUSA
| | - Kristen A. Russ
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Eun Hyun Seo
- Premedical Science, College of MedicineChosun University, Dong‐guGwangjuRepublic of Korea
| | - Yeunjoo E. Song
- Department of Population & Quantitative Health SciencesSchool of MedicineCase Western Reserve UniversityClevelandOhioUSA
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative DiseasesUniversity of TorontoTorontoOntarioCanada
| | - Lu Tian
- Department of Biomedical Data ScienceStanford University School of MedicineStanfordCaliforniaUSA
| | - Mina Torres
- Southern California Eye Institute, CHA Hollywood Presbyterian Medical CenterLos AngelesCaliforniaUSA
| | - Namkhue Vo
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Ellen C. Wong
- Department of NeurologyKeck School of Medicine at University of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of NeurologyRancho Los Amigos National Rehabilitation CenterDowneyCaliforniaUSA
| | - Yuan Xie
- Department of NeurologyColumbia University Medical CenterNew YorkNew YorkUSA
| | - Eugene B. Yau
- Division of NeurologyUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Isabelle Yi
- Stanford Alzheimer's Disease Research CenterStanfordCaliforniaUSA
| | - Victoria Yu
- Department of OphthalmologyKeck School of Medicine at University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Xiaoyi Zeng
- Alzheimer's Disease Research CenterDepartment of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Peter St George‐Hyslop
- Tanz Centre for Research in Neurodegenerative DiseasesUniversity of TorontoTorontoOntarioCanada
- Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
| | - Rhoda Au
- Department of Anatomy and NeurobiologySlone Epidemiology CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of EpidemiologyBoston University School of Public HealthBostonMassachusettsUSA
| | - Gerard D. Schellenberg
- Penn Neurodegeneration Genomics CenterDepartment of PathologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Jeffrey L. Dage
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Rohit Varma
- Southern California Eye Institute, CHA Hollywood Presbyterian Medical CenterLos AngelesCaliforniaUSA
| | - Ging‐Yuek R. Hsiung
- Division of NeurologyUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Howard Rosen
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Victor W. Henderson
- Department of Epidemiology and Population HealthStanford UniversityStanfordCaliforniaUSA
- Department of Neurology & Neurological SciencesStanford UniversityStanfordCaliforniaUSA
| | - Tatiana Foroud
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Walter A. Kukull
- Department of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Guerry M. Peavy
- Department of NeurosciencesUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Haeok Lee
- Rory Meyers College of NursingNew York UniversityNew YorkNew YorkUSA
| | - Howard H. Feldman
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
- Department of NeurosciencesUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Richard Mayeux
- Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia University, Vagelos College of Physicians and SurgeonsNew YorkNew YorkUSA
| | - Helena Chui
- Department of NeurologyKeck School of Medicine at University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Gyungah R. Jun
- Department of Medicine (Biomedical Genetics)Boston University School of MedicineBostonMassachusettsUSA
- Department of OphthalmologyBoston University School of MedicineBostonMassachusettsUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
| | - Van M. Ta Park
- Department of Community Health SystemsUniversity of California San Francisco School of NursingSan FranciscoCaliforniaUSA
- Asian American Research Center on Health (ARCH)University of California San Francisco School of NursingSan FranciscoCaliforniaUSA
| | - Tiffany W. Chow
- Penn Neurodegeneration Genomics CenterDepartment of PathologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Alector Inc.South San FranciscoCaliforniaUSA
| | - Li‐San Wang
- Penn Neurodegeneration Genomics CenterDepartment of PathologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| |
Collapse
|
7
|
Belloy ME, Andrews SJ, Le Guen Y, Cuccaro M, Farrer LA, Napolioni V, Greicius MD. APOE Genotype and Alzheimer Disease Risk Across Age, Sex, and Population Ancestry. JAMA Neurol 2023; 80:1284-1294. [PMID: 37930705 PMCID: PMC10628838 DOI: 10.1001/jamaneurol.2023.3599] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/03/2023] [Indexed: 11/07/2023]
Abstract
Importance Apolipoprotein E (APOE)*2 and APOE*4 are, respectively, the strongest protective and risk-increasing, common genetic variants for late-onset Alzheimer disease (AD), making APOE status highly relevant toward clinical trial design and AD research broadly. The associations of APOE genotypes with AD are modulated by age, sex, race and ethnicity, and ancestry, but these associations remain unclear, particularly among racial and ethnic groups understudied in the AD and genetics research fields. Objective To assess the stratified associations of APOE genotypes with AD risk across sex, age, race and ethnicity, and global population ancestry. Design, Setting, Participants This genetic association study included case-control, family-based, population-based, and longitudinal AD-related cohorts that recruited referred and volunteer participants. Data were analyzed between March 2022 and April 2023. Genetic data were available from high-density, single-nucleotide variant microarrays, exome microarrays, and whole-exome and whole-genome sequencing. Summary statistics were ascertained from published AD genetic studies. Main Outcomes and Measures The main outcomes were risk for AD (odds ratios [ORs]) and risk of conversion to AD (hazard ratios [HRs]), with 95% CIs. Risk for AD was evaluated through case-control logistic regression analyses. Risk of conversion to AD was evaluated through Cox proportional hazards regression survival analyses. Results Among 68 756 unique individuals, analyses included 21 852 East Asian (demographic data not available), 5738 Hispanic (68.2% female; mean [SD] age, 75.4 [8.8] years), 7145 non-Hispanic Black (hereafter referred to as Black) (70.8% female; mean [SD] age, 78.4 [8.2] years), and 34 021 non-Hispanic White (hereafter referred to as White) (59.3% female; mean [SD] age, 77.0 [9.1] years) individuals. There was a general, stepwise pattern of ORs for APOE*4 genotypes and AD risk across race and ethnicity groups. Odds ratios for APOE*34 and AD risk attenuated following East Asian (OR, 4.54; 95% CI, 3.99-5.17),White (OR, 3.46; 95% CI, 3.27-3.65), Black (OR, 2.18; 95% CI, 1.90-2.49) and Hispanic (OR, 1.90; 95% CI, 1.65-2.18) individuals. Similarly, ORs for APOE*22+23 and AD risk attenuated following White (OR, 0.53, 95% CI, 0.48-0.58), Black (OR, 0.69, 95% CI, 0.57-0.84), and Hispanic (OR, 0.89; 95% CI, 0.72-1.10) individuals, with no association for Hispanic individuals. Deviating from the global pattern of ORs, APOE*22+23 was not associated with AD risk in East Asian individuals (OR, 0.97; 95% CI, 0.77-1.23). Global population ancestry could not explain why Hispanic individuals showed APOE associations with less pronounced AD risk compared with Black and White individuals. Within Black individuals, decreased global African ancestry or increased global European ancestry showed a pattern of APOE*4 dosage associated with increasing AD risk, but no such pattern was apparent for APOE*2 dosage with AD risk. The sex-by-age-specific interaction effect of APOE*34 among White individuals (higher risk in women) was reproduced but shifted to ages 60 to 70 years (OR, 1.48; 95% CI, 1.10-2.01) and was additionally replicated in a meta-analysis of Black individuals and Hispanic individuals (OR, 1.72; 95% CI, 1.01-2.94). Conclusion and Relevance Through recent advances in AD-related genetic cohorts, this study provided the largest-to-date overview of the association of APOE with AD risk across age, sex, race and ethnicity, and population ancestry. These novel insights are critical to guide AD clinical trial design and research.
Collapse
Affiliation(s)
- Michael E. Belloy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, California
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, Missouri
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | - Shea J. Andrews
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, California
| | - Michael Cuccaro
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida
- Dr. John T. Macdonald Foundation, Department of Human Genetics, University of Miami Miller School of Medicine, Miami, Florida
| | - Lindsay A. Farrer
- Department of Medicine, Biomedical Genetics, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Valerio Napolioni
- School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy
| | - Michael D. Greicius
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, California
| |
Collapse
|
8
|
Lee WP, Choi SH, Shea MG, Cheng PL, Dombroski BA, Pitsillides AN, Heard-Costa NL, Wang H, Bulekova K, Kuzma AB, Leung YY, Farrell JJ, Lin H, Naj A, Blue EE, Nusetor F, Wang D, Boerwinkle E, Bush WS, Zhang X, De Jager PL, Dupuis J, Farrer LA, Fornage M, Martin E, Pericak-Vance M, Seshadri S, Wijsman EM, Wang LS, Schellenberg GD, Destefano AL, Haines JL, Peloso GM. Association of Common and Rare Variants with Alzheimer's Disease in over 13,000 Diverse Individuals with Whole-Genome Sequencing from the Alzheimer's Disease Sequencing Project. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.01.23294953. [PMID: 37693521 PMCID: PMC10491367 DOI: 10.1101/2023.09.01.23294953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Alzheimer's Disease (AD) is a common disorder of the elderly that is both highly heritable and genetically heterogeneous. Here, we investigated the association between AD and both common variants and aggregates of rare coding and noncoding variants in 13,371 individuals of diverse ancestry with whole genome sequence (WGS) data. Pooled-population analyses identified genetic variants in or near APOE, BIN1, and LINC00320 significantly associated with AD (p < 5×10-8). Population-specific analyses identified a haplotype on chromosome 14 including PSEN1 associated with AD in Hispanics, further supported by aggregate testing of rare coding and noncoding variants in this region. Finally, we observed suggestive associations (p < 5×10-5) of aggregates of rare coding rare variants in ABCA7 among non-Hispanic Whites (p=5.4×10-6), and rare noncoding variants in the promoter of TOMM40 distinct of APOE in pooled-population analyses (p=7.2×10-8). Complementary pooled-population and population-specific analyses offered unique insights into the genetic architecture of AD.
Collapse
Affiliation(s)
- Wan-Ping Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Seung Hoan Choi
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Margaret G Shea
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Po-Liang Cheng
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Beth A Dombroski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Nancy L Heard-Costa
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Hui Wang
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Katia Bulekova
- Research Computing Services, Information Services & Technology, Boston University, Boston, MA, USA
| | - Amanda B Kuzma
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yuk Yee Leung
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John J Farrell
- Biomedical Genetics, Department of Medicine, Boston University Medical School, Boston, MA, USA
| | - Honghuang Lin
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Adam Naj
- Department of Biostatistics, Epidemiology, and Informatics, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Elizabeth E Blue
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Frederick Nusetor
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Dongyu Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - William S Bush
- Cleveland Institute for Computational Biology, Cleveland, OH, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Xiaoling Zhang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Biomedical Genetics, Department of Medicine, Boston University Medical School, Boston, MA, USA
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Columbia University Medical Center, New York, NY, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
| | - Lindsay A Farrer
- 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
- Framingham Heart Study, Framingham, MA, USA
- Biomedical Genetics, Department of Medicine, Boston University Medical School, Boston, MA, USA
- Department of Ophthalmology, Department of Medicine, Boston University Medical School, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, 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
| | - Eden Martin
- John P Hussman Institute for Human Genomics, Miami, FL, USA
- John T Macdonald Department of Human Genetics, Miami, FL, USA
- University of Miami Miller School of Medicine, Miami, FL, USA
| | - Margaret Pericak-Vance
- John P Hussman Institute for Human Genomics, Miami, FL, USA
- John T Macdonald Department of Human Genetics, Miami, FL, USA
- University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA
| | - Ellen M Wijsman
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Li-San Wang
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anita L Destefano
- 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
| | - Jonathan L Haines
- Cleveland Institute for Computational Biology, Cleveland, OH, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| |
Collapse
|
9
|
Logue MW, Dasgupta S, Farrer LA. Genetics of Alzheimer's Disease in the African American Population. J Clin Med 2023; 12:5189. [PMID: 37629231 PMCID: PMC10455208 DOI: 10.3390/jcm12165189] [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: 06/26/2023] [Revised: 08/02/2023] [Accepted: 08/06/2023] [Indexed: 08/27/2023] Open
Abstract
Black/African American (AA) individuals have a higher risk of Alzheimer's disease (AD) than White non-Hispanic persons of European ancestry (EUR) for reasons that may include economic disparities, cardiovascular health, quality of education, and biases in the methods used to diagnose AD. AD is also heritable, and some of the differences in risk may be due to genetics. Many AD-associated variants have been identified by candidate gene studies, genome-wide association studies (GWAS), and genome-sequencing studies. However, most of these studies have been performed using EUR cohorts. In this paper, we review the genetics of AD and AD-related traits in AA individuals. Importantly, studies of genetic risk factors in AA cohorts can elucidate the molecular mechanisms underlying AD risk in AA and other populations. In fact, such studies are essential to enable reliable precision medicine approaches in persons with considerable African ancestry. Furthermore, genetic studies of AA cohorts allow exploration of the ways the impact of genes can vary by ancestry, culture, and economic and environmental disparities. They have yielded important gains in our knowledge of AD genetics, and increasing AA individual representation within genetic studies should remain a priority for inclusive genetic study design.
Collapse
Affiliation(s)
- Mark W. Logue
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA 02130, USA;
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Shoumita Dasgupta
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Medical Sciences and Education, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Lindsay A. Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| |
Collapse
|
10
|
Zhao W, Smith J, Wang Y, Chintalapati M, Ammous F, Yu M, Moorjani P, Ganna A, Gross A, Dey S, Benerjee J, Chatterjee P, Dey A, Lee J, Kardia S. Polygenic Risk Scores for Alzheimer's Disease and General Cognitive Function Are Associated With Measures of Cognition in Older South Asians. J Gerontol A Biol Sci Med Sci 2023; 78:743-752. [PMID: 36782352 PMCID: PMC10172981 DOI: 10.1093/gerona/glad057] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Indexed: 02/15/2023] Open
Abstract
Genome-wide association studies (GWAS) conducted in European ancestry (EA) have identified hundreds of single-nucleotide polymorphisms (SNPs) associated with general cognitive function and/or Alzheimer's disease (AD). The association between these SNPs and cognitive function has not been fully evaluated in populations with complex genetic substructure such as South Asians. This study investigated whether SNPs identified in EA GWAS, either individually or as polygenic risk scores (PRSs), were associated with general cognitive function and 5 broad cognitive domains in 932 South Asians from the Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD). We found that SNPs identified from AD GWAS were more strongly associated with cognitive function in LASI-DAD than those from a GWAS of general cognitive function. PRSs for general cognitive function and AD explained up to 1.1% of the variability in LASI-DAD cognitive domain scores. Our study represents an important stepping stone toward better characterization of the genetic architecture of cognitive aging in the Indian/South Asian population and highlights the need for further research that may lead to the identification of new variants unique to this population.
Collapse
Affiliation(s)
- Wei Zhao
- 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
| | - 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
| | - Yi Zhe Wang
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Manjusha Chintalapati
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, California, USA
| | - Farah Ammous
- 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
| | - Priya Moorjani
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, California, USA
| | - Andrea Ganna
- Institute for Molecular Medicine Finland, Helsinki, Finland
| | - Alden Gross
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Sharmistha Dey
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | - Joyita Benerjee
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Prasun Chatterjee
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - 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
| |
Collapse
|
11
|
Mulyadi AW, Jung W, Oh K, Yoon JS, Lee KH, Suk HI. Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning. Neuroimage 2023; 273:120073. [PMID: 37037063 DOI: 10.1016/j.neuroimage.2023.120073] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 03/03/2023] [Accepted: 03/30/2023] [Indexed: 04/12/2023] Open
Abstract
Identifying Alzheimer's disease (AD) involves a deliberate diagnostic process owing to its innate traits of irreversibility with subtle and gradual progression. These characteristics make AD biomarker identification from structural brain imaging (e.g., structural MRI) scans quite challenging. Using clinically-guided prototype learning, we propose a novel deep-learning approach through eXplainable AD Likelihood Map Estimation (XADLiME) for AD progression modeling over 3D sMRIs. Specifically, we establish a set of topologically-aware prototypes onto the clusters of latent clinical features, uncovering an AD spectrum manifold. Considering this pseudo map as an enriched reference, we employ an estimating network to approximate the AD likelihood map over a 3D sMRI scan. Additionally, we promote the explainability of such a likelihood map by revealing a comprehensible overview from clinical and morphological perspectives. During the inference, this estimated likelihood map served as a substitute for unseen sMRI scans for effectively conducting the downstream task while providing thorough explainable states.
Collapse
Affiliation(s)
- Ahmad Wisnu Mulyadi
- Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Wonsik Jung
- Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Kwanseok Oh
- Department of Artificial Intelligence, Korea University, Seoul 02841, Republic of Korea
| | - Jee Seok Yoon
- Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Kun Ho Lee
- Gwangju Alzheimer's & Related Dementia Cohort Research Center, Chosun University, Gwangju 61452, Republic of Korea; Department of Biomedical Science, Chosun University, Gwangju 61452, Republic of Korea; Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | - Heung-Il Suk
- Department of Artificial Intelligence, Korea University, Seoul 02841, Republic of Korea; Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea.
| |
Collapse
|
12
|
Pan X, Coban Akdemir ZH, Gao R, Jiang X, Sheynkman GM, Wu E, Huang JH, Sahni N, Yi SS. AD-Syn-Net: systematic identification of Alzheimer's disease-associated mutation and co-mutation vulnerabilities via deep learning. Brief Bioinform 2023; 24:bbad030. [PMID: 36752347 PMCID: PMC10025433 DOI: 10.1093/bib/bbad030] [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: 07/09/2022] [Revised: 12/19/2022] [Accepted: 01/13/2023] [Indexed: 02/09/2023] Open
Abstract
Alzheimer's disease (AD) is one of the most challenging neurodegenerative diseases because of its complicated and progressive mechanisms, and multiple risk factors. Increasing research evidence demonstrates that genetics may be a key factor responsible for the occurrence of the disease. Although previous reports identified quite a few AD-associated genes, they were mostly limited owing to patient sample size and selection bias. There is a lack of comprehensive research aimed to identify AD-associated risk mutations systematically. To address this challenge, we hereby construct a large-scale AD mutation and co-mutation framework ('AD-Syn-Net'), and propose deep learning models named Deep-SMCI and Deep-CMCI configured with fully connected layers that are capable of predicting cognitive impairment of subjects effectively based on genetic mutation and co-mutation profiles. Next, we apply the customized frameworks to data sets to evaluate the importance scores of the mutations and identified mutation effectors and co-mutation combination vulnerabilities contributing to cognitive impairment. Furthermore, we evaluate the influence of mutation pairs on the network architecture to dissect the genetic organization of AD and identify novel co-mutations that could be responsible for dementia, laying a solid foundation for proposing future targeted therapy for AD precision medicine. Our deep learning model codes are available open access here: https://github.com/Pan-Bio/AD-mutation-effectors.
Collapse
Affiliation(s)
- Xingxin Pan
- Livestrong Cancer Institutes, and Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA
| | - Zeynep H Coban Akdemir
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Ruixuan Gao
- Departments of Chemistry and Biological Sciences, University of Illinois Chicago, Chicago, IL 60607, USA
| | - Xiaoqian Jiang
- School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX 77030, USA
| | - Gloria M Sheynkman
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA 22903, USA
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
- Center for Public Health Genomics, and UVA Comprehensive Cancer Center, University of Virginia, Charlottesville, VA 22903, USA
| | - Erxi Wu
- Livestrong Cancer Institutes, and Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA
- Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, TX 76502, USA
- Department of Surgery, Texas A & M University Health Science Center, College of Medicine, Temple, TX 76508, USA
- Department of Pharmaceutical Sciences, Texas A & M University Health Science Center, College of Pharmacy, College Station, TX 77843, USA
| | - Jason H Huang
- Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, TX 76502, USA
- Department of Surgery, Texas A & M University Health Science Center, College of Medicine, Temple, TX 76508, USA
| | - Nidhi Sahni
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Quantitative and Computational Biosciences Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - S Stephen Yi
- Livestrong Cancer Institutes, and Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA
- Oden Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, Austin, TX 78712, USA
- Interdisciplinary Life Sciences Graduate Programs (ILSGP), College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA
- Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA
| |
Collapse
|
13
|
Miyashita A, Kikuchi M, Hara N, Ikeuchi T. Genetics of Alzheimer's disease: an East Asian perspective. J Hum Genet 2023; 68:115-124. [PMID: 35641666 PMCID: PMC9968656 DOI: 10.1038/s10038-022-01050-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/20/2022] [Accepted: 05/16/2022] [Indexed: 11/09/2022]
Abstract
Alzheimer's disease (AD) is an age-related multifactorial neurodegenerative disorder. Advances in genome technology, including next generation sequencing have uncovered complex genetic effects in AD by analyzing both common and rare functional variants. Multiple lines of evidence suggest that the pathogenesis of AD is influenced by multiple genetic components rather than single genetic factor. Previous genetic studies on AD have predominantly included European ancestry cohorts; hence, the non-European population may be underrepresented, potentially leading to reduced diversity in AD genetic research. Additionally, ethnic diversity may result in dissimilar effects of genetic determinants in AD. APOE genotypes are a well-established genetic risk factor in AD, with the East Asian population having a higher risk of AD associated with the APOE ε4 allele. To date, seven genome-wide association studies (GWAS) have been conducted in East Asians, which report a total of 26 AD-associated loci. Several rare variants, including the p.H157Y variant in TREM2, and the p.G186R and p.R274W variants in SHARPIN are associated with risk of AD in East Asians. Extending genetic studies to diverse populations, including East Asians is necessary, which could yield more comprehensive insights into AD, and here we review the recent findings regarding the genetic determinants of AD from an East Asian perspective.
Collapse
Affiliation(s)
- Akinori Miyashita
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Norikazu Hara
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan.
| |
Collapse
|
14
|
Nakamura T, Kawarabayashi T, Ueda T, Shimomura S, Hoshino M, Itoh K, Ihara K, Nakaji S, Takatama M, Ikeda Y, Shoji M. Plasma ApoE4 Levels Are Lower than ApoE2 and ApoE3 Levels, and Not Associated with Plasma Aβ40/42 Ratio as a Biomarker of Amyloid-β Amyloidosis in Alzheimer's Disease. J Alzheimers Dis 2023; 93:333-348. [PMID: 36970894 DOI: 10.3233/jad-220996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
BACKGROUND APOE4 is the strongest risk factor for Alzheimer's disease (AD). However, limited information is currently available on APOE4 and the pathological role of plasma apolipoprotein E (ApoE) 4 remains unclear. OBJECTIVE The aims of the present study were to measure plasma levels of total ApoE (tE), ApoE2, ApoE3, and ApoE4 using mass spectrometry and elucidate the relationships between plasma ApoE and blood test items. METHODS We herein examined plasma levels of tE, ApoE2, ApoE3, and ApoE4 in 498 subjects using liquid chromatograph-mass spectrometry (LC-MS/MS). RESULTS Among 498 subjects, mean age was 60 years and 309 were female. tE levels were distributed as ApoE2/E3 = ApoE2/E4 >ApoE3/E3 = ApoE3/E4 >ApoE4/E4. In the heterozygous group, ApoE isoform levels were distributed as ApoE2 >ApoE3 >ApoE4. ApoE levels were not associated with aging, the plasma amyloid-β (Aβ) 40/42 ratio, or the clinical diagnosis of AD. Total cholesterol levels correlated with the level of each ApoE isoform. ApoE2 levels were associated with renal function, ApoE3 levels with low-density lipoprotein cholesterol and liver function, and ApoE4 levels with triglycerides, high-density lipoprotein cholesterol, body weight, erythropoiesis, and insulin metabolism. CONCLUSION The present results suggest the potential of LC-MS/MS for the phenotyping and quantitation of plasma ApoE. Plasma ApoE levels are regulated in the order of ApoE2 >ApoE3 >ApoE4 and are associated with lipids and multiple metabolic pathways, but not directly with aging or AD biomarkers. The present results provide insights into the multiple pathways by which peripheral ApoE4 influences the progression of AD and atherosclerosis.
Collapse
Affiliation(s)
- Takumi Nakamura
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
- Department of Social Medicine, Hirosaki University School of Medicine, Hirosaki, Japan
| | - Takeshi Kawarabayashi
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
- Department of Social Medicine, Hirosaki University School of Medicine, Hirosaki, Japan
| | - Tetsuya Ueda
- Bioanalysis Department, LSI Medience Corporation, Itabashi-ku, Tokyo, Japan
| | - Sachiko Shimomura
- Bioanalysis Department, LSI Medience Corporation, Itabashi-ku, Tokyo, Japan
| | - Masaki Hoshino
- Bioanalysis Department, LSI Medience Corporation, Itabashi-ku, Tokyo, Japan
| | - Ken Itoh
- Department of Stress Response Science, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Kazushige Ihara
- Department of Social Medicine, Hirosaki University School of Medicine, Hirosaki, Japan
| | - Shigeyuki Nakaji
- Department of Social Medicine, Hirosaki University School of Medicine, Hirosaki, Japan
| | - Masamitsu Takatama
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Yoshio Ikeda
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Mikio Shoji
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
- Department of Social Medicine, Hirosaki University School of Medicine, Hirosaki, Japan
| |
Collapse
|
15
|
Harerimana NV, Goate AM, Bowles KR. The influence of 17q21.31 and APOE genetic ancestry on neurodegenerative disease risk. Front Aging Neurosci 2022; 14:1021918. [DOI: 10.3389/fnagi.2022.1021918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Abstract
Advances in genomic research over the last two decades have greatly enhanced our knowledge concerning the genetic landscape and pathophysiological processes involved in multiple neurodegenerative diseases. However, current insights arise almost exclusively from studies on individuals of European ancestry. Despite this, studies have revealed that genetic variation differentially impacts risk for, and clinical presentation of neurodegenerative disease in non-European populations, conveying the importance of ancestry in predicting disease risk and understanding the biological mechanisms contributing to neurodegeneration. We review the genetic influence of two important disease-associated loci, 17q21.31 (the “MAPT locus”) and APOE, to neurodegenerative disease risk in non-European populations, touching on global population differences and evolutionary genetics by ancestry that may underlie some of these differences. We conclude there is a need to increase representation of non-European ancestry individuals in genome-wide association studies (GWAS) and biomarker analyses in order to help resolve existing disparities in understanding risk for, diagnosis of, and treatment for neurodegenerative diseases in diverse populations.
Collapse
|
16
|
Wilkins CH, Windon CC, Dilworth-Anderson P, Romanoff J, Gatsonis C, Hanna L, Apgar C, Gareen IF, Hill CV, Hillner BE, March A, Siegel BA, Whitmer RA, Carrillo MC, Rabinovici GD. Racial and Ethnic Differences in Amyloid PET Positivity in Individuals With Mild Cognitive Impairment or Dementia: A Secondary Analysis of the Imaging Dementia-Evidence for Amyloid Scanning (IDEAS) Cohort Study. JAMA Neurol 2022; 79:2796653. [PMID: 36190710 PMCID: PMC9531087 DOI: 10.1001/jamaneurol.2022.3157] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/29/2022] [Indexed: 02/06/2023]
Abstract
Importance Racial and ethnic groups with higher rates of clinical Alzheimer disease (AD) are underrepresented in studies of AD biomarkers, including amyloid positron emission tomography (PET). Objective To compare amyloid PET positivity among a diverse cohort of individuals with mild cognitive impairment (MCI) or dementia. Design, Setting, and Participants Secondary analysis of the Imaging Dementia-Evidence for Amyloid Scanning (IDEAS), a single-arm multisite cohort study of Medicare beneficiaries who met appropriate-use criteria for amyloid PET imaging between February 2016 and September 2017 with follow-up through January 2018. Data were analyzed between April 2020 and January 2022. This study used 2 approaches: the McNemar test to compare amyloid PET positivity proportions between matched racial and ethnic groups and multivariable logistic regression to assess the odds of having a positive amyloid PET scan. IDEAS enrolled participants at 595 US dementia specialist practices. A total of 21 949 were enrolled and 4842 (22%) were excluded from the present analysis due to protocol violations, not receiving an amyloid PET scan, not having a positive or negative scan, or because of small numbers in some subgroups. Exposures In the IDEAS study, participants underwent a single amyloid PET scan. Main Outcomes and Measures The main outcomes were amyloid PET positivity proportions and odds. Results Data from 17 107 individuals (321 Asian, 635 Black, 829 Hispanic, and 15 322 White) with MCI or dementia and amyloid PET were analyzed between April 2020 and January 2022. The median (range) age of participants was 75 (65-105) years; 8769 participants (51.3%) were female and 8338 (48.7%) were male. In the optimal 1:1 matching analysis (n = 3154), White participants had a greater proportion of positive amyloid PET scans compared with Asian participants (181 of 313; 57.8%; 95% CI, 52.3-63.2 vs 142 of 313; 45.4%; 95% CI, 39.9-50.9, respectively; P = .001) and Hispanic participants (482 of 780; 61.8%; 95% CI, 58.3-65.1 vs 425 of 780; 54.5%; 95% CI, 51.0-58.0, respectively; P = .003) but not Black participants (359 of 615; 58.4%; 95% CI, 54.4-62.2 vs 333 of 615; 54.1%; 95% CI, 50.2-58.0, respectively; P = .13). In the adjusted model, the odds of having a positive amyloid PET scan were lower for Asian participants (odds ratio [OR], 0.47; 95% CI, 0.37-0.59; P < .001), Black participants (OR, 0.71; 95% CI, 0.60-0.84; P < .001), and Hispanic participants (OR, 0.68; 95% CI, 0.59-0.79; P < .001) compared with White participants. Conclusions and Relevance Racial and ethnic differences found in amyloid PET positivity among individuals with MCI and dementia in this study may indicate differences in underlying etiology of cognitive impairment and guide future treatment and prevention approaches.
Collapse
Affiliation(s)
- Consuelo H. Wilkins
- Department of Medicine, Division of Geriatric Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Charles C. Windon
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Peggye Dilworth-Anderson
- Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - Justin Romanoff
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Constantine Gatsonis
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
| | - Lucy Hanna
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Charles Apgar
- Center for Research and Innovation, American College of Radiology, Reston, Virginia
| | - Ilana F. Gareen
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
| | | | - Bruce E. Hillner
- Department of Medicine, Virginia Commonwealth University, Richmond
| | - Andrew March
- Center for Research and Innovation, American College of Radiology, Philadelphia, Pennsylvania
| | - Barry A. Siegel
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Rachel A. Whitmer
- Division of Research, Kaiser Permanente, Oakland, California
- Department of Public Health Sciences, University of California, Davis
| | | | - Gil D. Rabinovici
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- Associate Editor, JAMA Neurology
- Department of Radiology & Biomedical Imaging, University of California, San Francisco
| |
Collapse
|
17
|
Nuytemans K, Vasquez ML, Wang L, Van Booven D, Griswold AJ, Rajabli F, Celis K, Oron O, Hofmann N, Rolati S, Garcia-Serje C, Zhang S, Jin F, Argenziano M, Grant SF, Chesi A, Brown CD, Young JI, Dykxhoorn DM, Pericak-Vance MA, Vance JM. Identifying differential regulatory control of APOE ɛ4 on African versus European haplotypes as potential therapeutic targets. Alzheimers Dement 2022; 18:1930-1942. [PMID: 34978147 PMCID: PMC9250552 DOI: 10.1002/alz.12534] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 09/29/2021] [Accepted: 10/19/2021] [Indexed: 01/28/2023]
Abstract
We previously demonstrated that in Alzheimer's disease (AD) patients, European apolipoprotein E (APOE) ε4 carriers express significantly more APOE ε4 in their brains than African AD carriers. We examined single nucleotide polymorphisms near APOE with significant frequency differences between African and European/Japanese APOE ε4 haplotypes that could contribute to this difference in expression through regulation. Two enhancer massively parallel reporter assay (MPRA) approaches were performed, supplemented with single fragment reporter assays. We used Capture C analyses to support interactions with the APOE promoter. Introns within TOMM40 showed increased enhancer activity in the European/Japanese versus African haplotypes in astrocytes and microglia. This region overlaps with APOE promoter interactions as assessed by Capture C analysis. Single variant analyses pinpoints rs2075650/rs157581, and rs59007384 as functionally different on these haplotypes. Identification of the mechanisms for differential regulatory function for APOE expression between African and European/Japanese haplotypes could lead to therapeutic targets for APOE ε4 carriers.
Collapse
Affiliation(s)
- Karen Nuytemans
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
- John T. Macdonald Foundation Department of Human Genetics,
University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Marina Lipkin Vasquez
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
| | - Liyong Wang
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
- John T. Macdonald Foundation Department of Human Genetics,
University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Derek Van Booven
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
| | - Anthony J. Griswold
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
- John T. Macdonald Foundation Department of Human Genetics,
University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Farid Rajabli
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
- John T. Macdonald Foundation Department of Human Genetics,
University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Katrina Celis
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
| | - Oded Oron
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
| | - Natalia Hofmann
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
| | - Sophie Rolati
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
| | - Catherine Garcia-Serje
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
| | - Shanshan Zhang
- Department of Genetics and Genome Sciences, School of
Medicine, Case Western Reserve University, Cleveland, Ohio, USA
- The Biomedical Sciences Training Program (BSTP), School of
Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Fulai Jin
- Department of Genetics and Genome Sciences, School of
Medicine, Case Western Reserve University, Cleveland, Ohio, USA
- Department of Computer and Data Sciences, Case
Comprehensive Cancer Center Case Western Reserve University, Cleveland, Ohio,
USA
| | | | - Struan F.A. Grant
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Genetics, University of Pennsylvania,
Philadelphia, Pennsylvania, USA
- Center for Spatial and Functional Genomics,
Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Division of Endocrinology and Diabetes, Children’s
Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alessandra Chesi
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Genetics, University of Pennsylvania,
Philadelphia, Pennsylvania, USA
- Department of Pathology and Laboratory Medicine,
University of PennsylvaniaPerelman School of Medicine, Philadelphia, Pennsylvania,
USA
| | - Christopher D. Brown
- Department of Genetics, University of
PennsylvaniaPerelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Juan I. Young
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
- John T. Macdonald Foundation Department of Human Genetics,
University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Derek M. Dykxhoorn
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
- John T. Macdonald Foundation Department of Human Genetics,
University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Margaret A. Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
- John T. Macdonald Foundation Department of Human Genetics,
University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Jeffery M. Vance
- John P. Hussman Institute for Human Genomics, University of
Miami Miller School of Medicine, Miami, Florida, USA
- John T. Macdonald Foundation Department of Human Genetics,
University of Miami Miller School of Medicine, Miami, Florida, USA
| |
Collapse
|
18
|
Rhew SH, Jacklin K, Bright P, McCarty C, Henning‐Smith C, Warry W. Rural health disparities in health care utilization for dementia in Minnesota. J Rural Health 2022. [DOI: 10.1111/jrh.12700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Sung Han Rhew
- Memory Keepers Medical Discovery Team University of Minnesota Medical School Duluth Minnesota USA
| | - Kristen Jacklin
- Memory Keepers Medical Discovery Team University of Minnesota Medical School Duluth Minnesota USA
| | - Patrick Bright
- Memory Keepers Medical Discovery Team University of Minnesota Medical School Duluth Minnesota USA
| | - Catherine McCarty
- Department of Family Medicine & Biobehavioral Health University of Minnesota Medical School Duluth Minnesota USA
| | - Carrie Henning‐Smith
- Division of Health Policy and Management University of Minnesota School of Public Health Minneapolis Minnesota USA
| | - Wayne Warry
- Memory Keepers Medical Discovery Team University of Minnesota Medical School Duluth Minnesota USA
| |
Collapse
|
19
|
Granger MJ, Eck PK, Vazquez-Vidal I, Shamloo M, House JD, Mackay DS. Genosets for APOE and CYP7A1-rs3808607 variants do not predict LDL cholesterol lowering upon intervention with plant sterols in a randomized, double-blind, placebo-controlled trial. Am J Clin Nutr 2022; 115:717-723. [PMID: 34791009 DOI: 10.1093/ajcn/nqab378] [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: 07/02/2021] [Accepted: 11/15/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND The consumption of 2 g/d plant sterols (PSs) reduces circulating LDL cholesterol by ≤10%. The degree of LDL cholesterol lowering was associated with specific apolipoprotein E [APOE, Reference SNP (rs)429358] and cholesterol 7α-hydroxylase (CYP7A1, rs3808607) genosets in previous post hoc analyses of randomized controlled trials. However, because post hoc analyses do not conform to the randomization model, there is a greater potential that the findings could be due to type I error, thus warranting validation through an a priori-designed intervention trial. OBJECTIVES The GenePredict Plant Sterol study (GPS) was designed to validate associations of LDL cholesterol lowering with specific APOE and CYP7A1 genosets through a priori recruitment of individuals carrying prespecified genosets. METHODS A 2-center, double-blind, placebo-controlled, randomized 2-period crossover dietary intervention with 2 g/d PS for 28 d with a minimum 28-d washout was undertaken from July 2017 to December 2019. A priori recruitment of individuals with slightly elevated LDL cholesterol was based on genosets of APOE isoforms and CYP7A1 rs3808607. Randomization was performed with stratification by sex and genoset. RESULTS The recruitment target of 64 participants with prespecified genosets could not be reached, despite the screening of 477 individuals; 42 participants completed the intervention trial. Reductions in LDL cholesterol were similar across all 3 genosets (-0.298 ± 0.164, -0.357 ± 0.115, -0.293 ± 0.109 mmol/L; P = 0.0002 overall; P = 0.9126 for treatment × genoset), providing evidence that the shortfall in recruitment might not have stopped the trial from meeting the objective. CONCLUSIONS APOE and CYP7A1 genotypes did not influence the efficacy of LDL cholesterol reductions upon dietary intervention with PSs. Findings of previous post hoc analyses could not be validated in a trial using a priori genotype-based recruitment. Obtaining adequate numbers of participants is challenging in trials using genoset-based recruitment, even for common variants.
Collapse
Affiliation(s)
- Matthew J Granger
- Department of Food and Human Nutritional Sciences, Faculty of Agricultural and Food Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Peter K Eck
- Department of Food and Human Nutritional Sciences, Faculty of Agricultural and Food Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Itzel Vazquez-Vidal
- Richardson Centre for Functional Foods and Nutraceuticals, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Maryam Shamloo
- Department of Food and Human Nutritional Sciences, Faculty of Agricultural and Food Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - James D House
- Richardson Centre for Functional Foods and Nutraceuticals, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Dylan S Mackay
- Department of Food and Human Nutritional Sciences, Faculty of Agricultural and Food Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.,Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| |
Collapse
|
20
|
Belloy ME, Eger SJ, Le Guen Y, Damotte V, Ahmad S, Ikram MA, Ramirez A, Tsolaki AC, Rossi G, Jansen IE, de Rojas I, Parveen K, Sleegers K, Ingelsson M, Hiltunen M, Amin N, Andreassen O, Sánchez-Juan P, Kehoe P, Amouyel P, Sims R, Frikke-Schmidt R, van der Flier WM, Lambert JC, He Z, Han SS, Napolioni V, Greicius MD. Challenges at the APOE locus: a robust quality control approach for accurate APOE genotyping. Alzheimers Res Ther 2022; 14:22. [PMID: 35120553 PMCID: PMC8815198 DOI: 10.1186/s13195-022-00962-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 01/12/2022] [Indexed: 04/22/2023]
Abstract
BACKGROUND Genetic variants within the APOE locus may modulate Alzheimer's disease (AD) risk independently or in conjunction with APOE*2/3/4 genotypes. Identifying such variants and mechanisms would importantly advance our understanding of APOE pathophysiology and provide critical guidance for AD therapies aimed at APOE. The APOE locus however remains relatively poorly understood in AD, owing to multiple challenges that include its complex linkage structure and uncertainty in APOE*2/3/4 genotype quality. Here, we present a novel APOE*2/3/4 filtering approach and showcase its relevance on AD risk association analyses for the rs439401 variant, which is located 1801 base pairs downstream of APOE and has been associated with a potential regulatory effect on APOE. METHODS We used thirty-two AD-related cohorts, with genetic data from various high-density single-nucleotide polymorphism microarrays, whole-genome sequencing, and whole-exome sequencing. Study participants were filtered to be ages 60 and older, non-Hispanic, of European ancestry, and diagnosed as cognitively normal or AD (n = 65,701). Primary analyses investigated AD risk in APOE*4/4 carriers. Additional supporting analyses were performed in APOE*3/4 and 3/3 strata. Outcomes were compared under two different APOE*2/3/4 filtering approaches. RESULTS Using more conventional APOE*2/3/4 filtering criteria (approach 1), we showed that, when in-phase with APOE*4, rs439401 was variably associated with protective effects on AD case-control status. However, when applying a novel filter that increases the certainty of the APOE*2/3/4 genotypes by applying more stringent criteria for concordance between the provided APOE genotype and imputed APOE genotype (approach 2), we observed that all significant effects were lost. CONCLUSIONS We showed that careful consideration of APOE genotype and appropriate sample filtering were crucial to robustly interrogate the role of the APOE locus on AD risk. Our study presents a novel APOE filtering approach and provides important guidelines for research into the APOE locus, as well as for elucidating genetic interaction effects with APOE*2/3/4.
Collapse
Affiliation(s)
- Michael E Belloy
- Department of Neurology and Neurological Sciences - Greicius lab, Stanford University, 290 Jane Stanford Way, Stanford, CA, 94304, USA.
| | - Sarah J Eger
- Department of Neurology and Neurological Sciences - Greicius lab, Stanford University, 290 Jane Stanford Way, Stanford, CA, 94304, USA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences - Greicius lab, Stanford University, 290 Jane Stanford Way, Stanford, CA, 94304, USA
| | - Vincent Damotte
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Shahzad Ahmad
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, Medical Faculty, University Hospital Bonn, Bonn, Germany
- Department of Psychiatry & Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Anthoula C Tsolaki
- 1st Department of Neurology, AHEPA Hospital, Aristotle University of Thessaloniki, Athens, Greece
| | - Giacomina Rossi
- Unit of Neurology V and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Iris E Jansen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije University, Amsterdam, The Netherlands
| | - Itziar de Rojas
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Kayenat Parveen
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, Medical Faculty, University Hospital Bonn, Bonn, Germany
| | - Kristel Sleegers
- Complex Genetics of Alzheimer's Disease Group, Center for Molecular Neurology, VIB, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Martin Ingelsson
- Department of Public Health and Carins Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Yliopistonranta 1E, 70211, Kuopio, Finland
| | - Najaf Amin
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands
- Nuffield Department of Population Health Oxford University, Oxford, UK
| | - Ole Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Pascual Sánchez-Juan
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Neurology Service, Marqués de Valdecilla University Hospital (University of Cantabria and IDIVAL), Santander, Spain
| | - Patrick Kehoe
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Philippe Amouyel
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Rebecca Sims
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Wales, UK
| | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jean-Charles Lambert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Zihuai He
- Department of Neurology and Neurological Sciences - Greicius lab, Stanford University, 290 Jane Stanford Way, Stanford, CA, 94304, USA
- Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, 94304, USA
| | - Summer S Han
- Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, 94304, USA
- Department of Neurosurgery, Stanford University, Stanford, CA, 94304, USA
| | - Valerio Napolioni
- School of Biosciences and Veterinary Medicine, University of Camerino, 62032, Camerino, Italy
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences - Greicius lab, Stanford University, 290 Jane Stanford Way, Stanford, CA, 94304, USA
| |
Collapse
|
21
|
Park JE, Gunasekaran TI, Cho YH, Choi SM, Song MK, Cho SH, Kim J, Song HC, Choi KY, Lee JJ, Park ZY, Song WK, Jeong HS, Lee KH, Lee JS, Kim BC. Diagnostic Blood Biomarkers in Alzheimer’s Disease. Biomedicines 2022; 10:biomedicines10010169. [PMID: 35052848 PMCID: PMC8773964 DOI: 10.3390/biomedicines10010169] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/06/2022] [Accepted: 01/10/2022] [Indexed: 11/16/2022] Open
Abstract
Potential biomarkers for Alzheimer’s disease (AD) include amyloid β1–42 (Aβ1–42), t-Tau, p-Tau181, neurofilament light chain (NFL), and neuroimaging biomarkers. Their combined use is useful for diagnosing and monitoring the progress of AD. Therefore, further development of a combination of these biomarkers is essential. We investigated whether plasma NFL/Aβ1–42 can serve as a plasma-based primary screening biomarker reflecting brain neurodegeneration and amyloid pathology in AD for monitoring disease progression and early diagnosis. We measured the NFL and Aβ1–42 concentrations in the CSF and plasma samples and performed correlation analysis to evaluate the utility of these biomarkers in the early diagnosis and monitoring of AD spectrum disease progression. Pearson’s correlation analysis was used to analyse the associations between the fluid biomarkers and neuroimaging data. The study included 136 participants, classified into five groups: 28 cognitively normal individuals, 23 patients with preclinical AD, 22 amyloid-negative patients with amnestic mild cognitive impairment, 32 patients with prodromal AD, and 31 patients with AD dementia. With disease progression, the NFL concentrations increased and Aβ1–42 concentrations decreased. The plasma and CSF NFL/Aβ1–42 were strongly correlated (r = 0.558). Plasma NFL/Aβ1–42 was strongly correlated with hippocampal volume/intracranial volume (r = 0.409). In early AD, plasma NFL/Aβ1–42 was associated with higher diagnostic accuracy than the individual biomarkers. Moreover, in preclinical AD, plasma NFL/Aβ1–42 changed more rapidly than the CSF t-Tau or p-Tau181 concentrations. Our findings highlight the utility of plasma NFL/Aβ1–42 as a non-invasive plasma-based biomarker for early diagnosis and monitoring of AD spectrum disease progression.
Collapse
Affiliation(s)
- Jung Eun Park
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea; (J.E.P.); (T.I.G.); (Y.H.C.); (K.H.L.)
- Department of Integrative Biological Sciences & BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Chosun University, Gwangju 61452, Korea
| | - Tamil Iniyan Gunasekaran
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea; (J.E.P.); (T.I.G.); (Y.H.C.); (K.H.L.)
- Gwangju Alzheimer’s Disease and Related Dementias Cohort Center, Chosun University, Gwangju 61452, Korea; (K.Y.C.); (J.J.L.)
| | - Yeong Hee Cho
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea; (J.E.P.); (T.I.G.); (Y.H.C.); (K.H.L.)
- Department of Integrative Biological Sciences & BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Chosun University, Gwangju 61452, Korea
| | - Seong-Min Choi
- Department of Neurology, Chonnam National University Medical School, Gwangju 61469, Korea; (S.-M.C.); (S.H.C.)
- Department of Neurology, Chonnam National University Hospital, Gwangju 61469, Korea;
| | - Min-Kyung Song
- Department of Neurology, Chonnam National University Hospital, Gwangju 61469, Korea;
| | - Soo Hyun Cho
- Department of Neurology, Chonnam National University Medical School, Gwangju 61469, Korea; (S.-M.C.); (S.H.C.)
- Department of Neurology, Chonnam National University Hospital, Gwangju 61469, Korea;
| | - Jahae Kim
- Department of Nuclear Medicine, Chonnam National University Medical School and Hospital, Gwangju 61469, Korea; (J.K.); (H.-C.S.)
| | - Ho-Chun Song
- Department of Nuclear Medicine, Chonnam National University Medical School and Hospital, Gwangju 61469, Korea; (J.K.); (H.-C.S.)
| | - Kyu Yeong Choi
- Gwangju Alzheimer’s Disease and Related Dementias Cohort Center, Chosun University, Gwangju 61452, Korea; (K.Y.C.); (J.J.L.)
| | - Jang Jae Lee
- Gwangju Alzheimer’s Disease and Related Dementias Cohort Center, Chosun University, Gwangju 61452, Korea; (K.Y.C.); (J.J.L.)
| | - Zee-Yong Park
- Laboratory of Functional and Medicinal Proteomics, School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju 61005, Korea;
| | - Woo Keun Song
- Cell Logistics and Silver Health Research Center, School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju 61005, Korea;
| | - Han-Seong Jeong
- Department of Physiology, Chonnam National University Medical School, Hwasun 58128, Korea;
| | - Kun Ho Lee
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea; (J.E.P.); (T.I.G.); (Y.H.C.); (K.H.L.)
- Gwangju Alzheimer’s Disease and Related Dementias Cohort Center, Chosun University, Gwangju 61452, Korea; (K.Y.C.); (J.J.L.)
- Aging Neuroscience Research Group, Korea Brain Research Institute, Daegu 41062, Korea
| | - Jung Sup Lee
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea; (J.E.P.); (T.I.G.); (Y.H.C.); (K.H.L.)
- Department of Integrative Biological Sciences & BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Chosun University, Gwangju 61452, Korea
- Correspondence: (J.S.L.); (B.C.K.); Tel.: +82-62-220-6665 (J.S.L.); +82-62-220-6123 (B.C.K.)
| | - Byeong C. Kim
- Department of Neurology, Chonnam National University Medical School, Gwangju 61469, Korea; (S.-M.C.); (S.H.C.)
- Department of Neurology, Chonnam National University Hospital, Gwangju 61469, Korea;
- Correspondence: (J.S.L.); (B.C.K.); Tel.: +82-62-220-6665 (J.S.L.); +82-62-220-6123 (B.C.K.)
| |
Collapse
|
22
|
Arnal Segura M, Bini G, Fernandez Orth D, Samaras E, Kassis M, Aisopos F, Rambla De Argila J, Paliouras G, Garrard P, Giambartolomei C, Tartaglia GG. Machine learning methods applied to genotyping data capture interactions between single nucleotide variants in late onset Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12300. [PMID: 35415203 PMCID: PMC8984091 DOI: 10.1002/dad2.12300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 02/08/2022] [Accepted: 02/10/2022] [Indexed: 11/08/2022]
Abstract
Introduction Genome-wide association studies (GWAS) in late onset Alzheimer's disease (LOAD) provide lists of individual genetic determinants. However, GWAS do not capture the synergistic effects among multiple genetic variants and lack good specificity. Methods We applied tree-based machine learning algorithms (MLs) to discriminate LOAD (>700 individuals) and age-matched unaffected subjects in UK Biobank with single nucleotide variants (SNVs) from Alzheimer's disease (AD) studies, obtaining specific genomic profiles with the prioritized SNVs. Results MLs prioritized a set of SNVs located in genes PVRL2, TOMM40, APOE, and APOC1, also influencing gene expression and splicing. The genomic profiles in this region showed interaction patterns involving rs405509 and rs1160985, also present in the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. rs405509 located in APOE promoter interacts with rs429358 among others, seemingly neutralizing their predisposing effect. Discussion Our approach efficiently discriminates LOAD from controls, capturing genomic profiles defined by interactions among SNVs in a hot-spot region.
Collapse
Affiliation(s)
- Magdalena Arnal Segura
- Department of Biology "Charles Darwin" Sapienza University of Rome Rome Italy.,Centre for Human Technologies Istituto Italiano di Tecnologia (IIT) Genova Italy.,Centre for Genomic Regulation (CRG) The Barcelona Institute for Science and Technology Barcelona Spain
| | - Giorgio Bini
- Centre for Human Technologies Istituto Italiano di Tecnologia (IIT) Genova Italy
| | - Dietmar Fernandez Orth
- Centre for Genomic Regulation (CRG) The Barcelona Institute for Science and Technology Barcelona Spain
| | - Eleftherios Samaras
- Stroke and Dementia Research Centre St George's, University of London London UK
| | - Maya Kassis
- Stroke and Dementia Research Centre St George's, University of London London UK
| | - Fotis Aisopos
- Institute of Informatics and Telecommunications NCSR Demokritos Athens Greece
| | - Jordi Rambla De Argila
- Centre for Genomic Regulation (CRG) The Barcelona Institute for Science and Technology Barcelona Spain
| | - George Paliouras
- Institute of Informatics and Telecommunications NCSR Demokritos Athens Greece
| | - Peter Garrard
- Stroke and Dementia Research Centre St George's, University of London London UK
| | | | - Gian Gaetano Tartaglia
- Department of Biology "Charles Darwin" Sapienza University of Rome Rome Italy.,Centre for Human Technologies Istituto Italiano di Tecnologia (IIT) Genova Italy.,Centre for Genomic Regulation (CRG) The Barcelona Institute for Science and Technology Barcelona Spain.,Catalan Institution for Research and Advanced Studies ICREA Barcelona Spain
| |
Collapse
|
23
|
A missense variant in SHARPIN mediates Alzheimer's disease-specific brain damages. Transl Psychiatry 2021; 11:590. [PMID: 34785643 PMCID: PMC8595886 DOI: 10.1038/s41398-021-01680-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 08/04/2021] [Accepted: 08/27/2021] [Indexed: 01/23/2023] Open
Abstract
Established genetic risk factors for Alzheimer's disease (AD) account for only a portion of AD heritability. The aim of this study was to identify novel associations between genetic variants and AD-specific brain atrophy. We conducted genome-wide association studies for brain magnetic resonance imaging measures of hippocampal volume and entorhinal cortical thickness in 2643 Koreans meeting the clinical criteria for AD (n = 209), mild cognitive impairment (n = 1449) or normal cognition (n = 985). A missense variant, rs77359862 (R274W), in the SHANK-associated RH Domain Interactor (SHARPIN) gene was associated with entorhinal cortical thickness (p = 5.0 × 10-9) and hippocampal volume (p = 5.1 × 10-12). It revealed an increased risk of developing AD in the mediation analyses. This variant was also associated with amyloid-β accumulation (p = 0.03) and measures of memory (p = 1.0 × 10-4) and executive function (p = 0.04). We also found significant association of other SHARPIN variants with hippocampal volume in the Alzheimer's Disease Neuroimaging Initiative (rs3417062, p = 4.1 × 10-6) and AddNeuroMed (rs138412600, p = 5.9 × 10-5) cohorts. Further, molecular dynamics simulations and co-immunoprecipitation indicated that the variant significantly reduced the binding of linear ubiquitination assembly complex proteins, SHPARIN and HOIL-1 Interacting Protein (HOIP), altering the downstream NF-κB signaling pathway. These findings suggest that SHARPIN plays an important role in the pathogenesis of AD.
Collapse
|
24
|
Seo EH, Lim HJ, Yoon HJ, Choi KY, Lee JJ, Park JY, Choi SH, Kim H, Kim BC, Lee KH. Visuospatial memory impairment as a potential neurocognitive marker to predict tau pathology in Alzheimer's continuum. Alzheimers Res Ther 2021; 13:167. [PMID: 34627371 PMCID: PMC8502282 DOI: 10.1186/s13195-021-00909-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 09/28/2021] [Indexed: 11/13/2022]
Abstract
BACKGROUND Given that tau accumulation, not amyloid-β (Aβ) burden, is more closely connected with cognitive impairment in Alzheimer's disease (AD), a detailed understanding of the tau-related characteristics of cognitive function is critical in both clinical and research settings. We investigated the association between phosphorylated tau (p-Tau) level and cognitive impairment across the AD continuum and the mediating role of medial temporal lobe (MTL) atrophy. We also developed a prediction model for abnormal tau accumulation. METHODS We included participants from the Gwangju Alzheimer's Disease and Related Dementia Cohort in Korea, who completed cerebrospinal fluid analysis and clinical evaluation, and corresponded to one of three groups according to the biomarkers of A and T profiles based on the National Institute on Aging and Alzheimer's Association research framework. Multiple linear and logistic regression analyses were performed to examine the association between p-Tau and cognition and to develop prediction models. Receiver operating characteristic curve analysis was performed to examine the discrimination ability of the models. RESULTS Among 185 participants, 93 were classified as A-T-, 23 as A+T-, and 69 as A+T+. There was an association between decreased visuospatial delayed memory performance and p-Tau level (B = - 0.754, β = - 0.363, p < 0.001), independent of other relevant variables (e.g., Aβ). MTL neurodegeneration was found to mediate the association between the two. Prediction models with visuospatial delayed memory alone (area under the curve [AUC] = 0.872) and visuospatial delayed memory and entorhinal thickness (AUC = 0.921) for abnormal tau accumulation were suggested and they were validated in an independent sample (AUC = 0.879 and 0.891, respectively). CONCLUSION It is crucial to identify sensitive cognitive measures that capture subtle cognitive impairment associated with underlying pathological changes. Preliminary findings from the current study might suggest that abnormal tau accumulation underlies episodic memory impairment, particularly visuospatial modality, in the AD continuum. Suggested models are potentially useful in predicting tau pathology, and might be utilized practically in the field.
Collapse
Affiliation(s)
- Eun Hyun Seo
- Gwangju Alzheimer's Disease and Related Dementia Cohort Research Center, Chosun University, 61452, Gwangju, Republic of Korea
- Premedical Science, College of Medicine, Chosun University, Gwangju, 61452, Republic of Korea
| | - Ho Jae Lim
- Gwangju Alzheimer's Disease and Related Dementia Cohort Research Center, Chosun University, 61452, Gwangju, Republic of Korea
- Department of Integrative Biological Science, Chosun University, Gwangju, 61452, Republic of Korea
| | - Hyung-Jun Yoon
- Department of Neuropsychiatry, College of Medicine, Chosun University, Gwangju, 61452, Republic of Korea
| | - Kyu Yeong Choi
- Gwangju Alzheimer's Disease and Related Dementia Cohort Research Center, Chosun University, 61452, Gwangju, Republic of Korea
| | - Jang Jae Lee
- Gwangju Alzheimer's Disease and Related Dementia Cohort Research Center, Chosun University, 61452, Gwangju, Republic of Korea
| | - Jun Young Park
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea
- Neurozen Inc., Seoul, 06236, Republic of Korea
| | - Seong Hye Choi
- Department of Neurology, Inha University School of Medicine, Incheon, 22212, Republic of Korea
| | - Hoowon Kim
- Department of Neurology, Chosun University Hospital, Gwangju, 61452, Republic of Korea
| | - Byeong C Kim
- Department of Neurology, Chonnam National University Medical School, Gwangju, 61469, Republic of Korea
| | - Kun Ho Lee
- Gwangju Alzheimer's Disease and Related Dementia Cohort Research Center, Chosun University, 61452, Gwangju, Republic of Korea.
- Department of Biomedical Science, Chosun University, Gwangju, 61452, Republic of Korea.
- Aging Neuroscience Research Group, Korea Brain Research Institute, Daegu, 41062, Republic of Korea.
- Neurozen Inc., Seoul, 06236, Republic of Korea.
| |
Collapse
|
25
|
Panitch R, Hu J, Chung J, Zhu C, Meng G, Xia W, Bennett DA, Lunetta KL, Ikezu T, Au R, Stein TD, Farrer LA, Jun GR. Integrative brain transcriptome analysis links complement component 4 and HSPA2 to the APOE ε2 protective effect in Alzheimer disease. Mol Psychiatry 2021; 26:6054-6064. [PMID: 34480088 PMCID: PMC8758485 DOI: 10.1038/s41380-021-01266-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 07/07/2021] [Accepted: 08/12/2021] [Indexed: 02/08/2023]
Abstract
Mechanisms underlying the protective effect of apolipoprotein E (APOE) ε2 against Alzheimer disease (AD) are not well understood. We analyzed gene expression data derived from autopsied brains donated by 982 individuals including 135 APOE ɛ2/ɛ3 carriers. Complement pathway genes C4A and C4B were among the most significantly differentially expressed genes between ɛ2/ɛ3 AD cases and controls. We also identified an APOE ε2/ε3 AD-specific co-expression network enriched for astrocytes, oligodendrocytes and oligodendrocyte progenitor cells containing the genes C4A, C4B, and HSPA2. These genes were significantly associated with the ratio of phosphorylated tau at position 231 to total Tau but not with amyloid-β 42 level, suggesting this APOE ɛ2 related co-expression network may primarily be involved with tau pathology. HSPA2 expression was oligodendrocyte-specific and significantly associated with C4B protein. Our findings provide the first evidence of a crucial role of the complement pathway in the protective effect of APOE ε2 for AD.
Collapse
Affiliation(s)
- Rebecca Panitch
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - Junming Hu
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - Jaeyoon Chung
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - Congcong Zhu
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - Gaoyuan Meng
- Department of Veterans Affairs Medical Center, Bedford, MA, USA
| | - Weiming Xia
- Department of Veterans Affairs Medical Center, Bedford, MA, USA
- Department of Pharmacology & Experimental Therapeutics, Boston University School of Medicine, Boston, MA, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Tsuneya Ikezu
- Department of Pharmacology & Experimental Therapeutics, Boston University School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Center for Systems Neuroscience, Boston University School of Medicine, Boston, MA, USA
| | - Rhoda Au
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Thor D Stein
- Department of Veterans Affairs Medical Center, Bedford, MA, USA
- Department of Pathology & Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Lindsay A Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA.
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
- Department of Ophthalmology, Boston University School of Medicine, Boston, MA, USA.
| | - Gyungah R Jun
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA.
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
- Department of Ophthalmology, Boston University School of Medicine, Boston, MA, USA.
| |
Collapse
|
26
|
Frydas A, Wauters E, van der Zee J, Van Broeckhoven C. Uncovering the impact of noncoding variants in neurodegenerative brain diseases. Trends Genet 2021; 38:258-272. [PMID: 34535299 DOI: 10.1016/j.tig.2021.08.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 08/11/2021] [Accepted: 08/17/2021] [Indexed: 12/14/2022]
Abstract
Neurodegenerative brain diseases (NBDs) are characterized by cognitive decline and movement impairments caused by neuronal loss in different brain regions. A large fraction of the genetic heritability of NBDs is not explained by the current known mutations. Genome-wide association studies identified novel disease-risk loci, adding to the genetic basis of NBDs. Many of the associated variants reside in noncoding regions with distinct molecular functions. Genetic variation in these regions can alter functions and contribute to disease pathogenesis. Here, we discuss noncoding variants associated with NBDs. Methods for better functional interpretation of noncoding variation will expand our knowledge of the genetic architecture of NBDs and broaden the routes for therapeutic strategies.
Collapse
Affiliation(s)
- Alexandros Frydas
- Neurodegenerative Brain Diseases, Center for Molecular Neurology, VIB, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Eline Wauters
- Neurodegenerative Brain Diseases, Center for Molecular Neurology, VIB, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Julie van der Zee
- Neurodegenerative Brain Diseases, Center for Molecular Neurology, VIB, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases, Center for Molecular Neurology, VIB, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
| |
Collapse
|
27
|
Kulminski AM, Philipp I, Loika Y, He L, Culminskaya I. Protective association of the ε2/ε3 heterozygote with Alzheimer's disease is strengthened by TOMM40-APOE variants in men. Alzheimers Dement 2021; 17:1779-1787. [PMID: 34310032 DOI: 10.1002/alz.12413] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 05/07/2021] [Accepted: 05/25/2021] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Despite advances, understanding the protective role of the apolipoprotein E (APOE) ε2 allele in Alzheimer's disease (AD) remains elusive. METHODS We examined associations of variants comprised of the TOMM40 rs8106922 and APOE rs405509, rs440446, and ε2-encoding rs7412 polymorphisms with AD in a sample of 2862 AD-affected and 169,516 AD-unaffected non-carriers of the ε4 allele. RESULTS Association of the ε2/ε3 heterozygote of men with AD is 38% (P = 1.65 × 10-2 ) more beneficial when it is accompanied by rs8106922 major allele homozygote and rs405509 and rs440446 heterozygotes than by rs8106922 heterozygote and rs405509 and rs440446 major allele homozygotes. No difference in the beneficial associations of these two most common ε2/ε3-bearing variants with AD was identified in women. The role of ε2/ε3 heterozygote may be affected by different immunomodulation functions of rs8106922, rs405509, and rs440446 variants in a sex-specific manner. DISCUSSION Combination of TOMM40 and APOE variants defines a more homogeneous AD-protective ε2/ε3-bearing profile in men.
Collapse
Affiliation(s)
- Alexander M Kulminski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA
| | - Ian Philipp
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA
| | - Yury Loika
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA
| | - Liang He
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA
| | - Irina Culminskaya
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA
| |
Collapse
|
28
|
He H, Lu H, Liu S, Cai J, Tang X, Mo C, Xu X, Chen Q, Xu M, Nong C, Liu Q, Zhang J, Qin J, Zhang Z. Effects of the association between APOE rs405509 polymorphisms and gene-environment interactions on hand grip strength among middle-aged and elderly people in a rural population in southern China. J Orthop Surg Res 2021; 16:372. [PMID: 34116692 PMCID: PMC8194121 DOI: 10.1186/s13018-021-02522-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 06/03/2021] [Indexed: 08/30/2023] Open
Abstract
Background Hand grip strength is a complex phenotype. The current study aimed to identify the effects of the association between APOE rs405509 polymorphisms and gene-environment interactions on hand grip strength among middle-aged and elderly people in a rural population in Gongcheng, southern China. Methods APOE rs405509 polymorphisms in 1724 participants (695 men and 1029 women, aged 45–97 years old) were genotyped using the Sequenom MassARRAY platform. Statistical analysis was conducted using SPSS 21.0 and Plink 1.90. Results The APOE rs405509 G allele was associated with lower hand grip strength in all participants (β = −1.04, P value <0.001), and the correlation seemed to be even stronger among women. A significant gene-environment interaction was observed between APOE rs405509 and smoking, especially in men. The hand grip strength of male smokers carrying the GG genotype was significantly higher than that of nonsmokers (P value = 0.004). Conclusions APOE rs405509 polymorphisms might be genetic factors that affect hand grip strength in a rural population in Gongcheng, southern China. The APOE rs405509-smoking interaction has an impact on hand grip strength.
Collapse
Affiliation(s)
- Haoyu He
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China.,Department of Quality Management, The Affiliated Hospital of Stomatology, Guangxi Medical University, 10 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Huaxiang Lu
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China.,Department of Guangxi Science and Technology Major Project, Guangxi Zhuang Autonomous Region Center for Diseases Control and Prevention, 18 Jinzhou Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Shuzhen Liu
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Jiansheng Cai
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Xu Tang
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Chunbao Mo
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Xia Xu
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Quanhui Chen
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Min Xu
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Chuntao Nong
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Qiumei Liu
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Junling Zhang
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Jian Qin
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China.
| | - Zhiyong Zhang
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China. .,School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi Zhuang Autonomous Region, China.
| |
Collapse
|
29
|
Brain-Specific Gene Expression and Quantitative Traits Association Analysis for Mild Cognitive Impairment. Biomedicines 2021; 9:biomedicines9060658. [PMID: 34201204 PMCID: PMC8229744 DOI: 10.3390/biomedicines9060658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/03/2021] [Accepted: 06/04/2021] [Indexed: 11/30/2022] Open
Abstract
Transcriptome–wide association studies (TWAS) have identified several genes that are associated with qualitative traits. In this work, we performed TWAS using quantitative traits and predicted gene expressions in six brain subcortical structures in 286 mild cognitive impairment (MCI) samples from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort. The six brain subcortical structures were in the limbic region, basal ganglia region, and cerebellum region. We identified 9, 15, and 6 genes that were stably correlated longitudinally with quantitative traits in these three regions, of which 3, 8, and 6 genes have not been reported in previous Alzheimer’s disease (AD) or MCI studies. These genes are potential drug targets for the treatment of early–stage AD. Single–Nucleotide Polymorphism (SNP) analysis results indicated that cis–expression Quantitative Trait Loci (cis–eQTL) SNPs with gene expression predictive abilities may affect the expression of their corresponding genes by specific binding to transcription factors or by modulating promoter and enhancer activities. Further, baseline structure volumes and cis–eQTL SNPs from correlated genes in each region were used to predict the conversion risk of MCI patients. Our results showed that limbic volumes and cis–eQTL SNPs of correlated genes in the limbic region have effective predictive abilities.
Collapse
|
30
|
Kim JS, Lee S, Kim GE, Oh DJ, Moon W, Bae JB, Han JW, Byun S, Suh SW, Choi YY, Choi KY, Lee KH, Kim JH, Kim KW. Construction and validation of a cerebral white matter hyperintensity probability map of older Koreans. NEUROIMAGE-CLINICAL 2021; 30:102607. [PMID: 33711622 PMCID: PMC7972979 DOI: 10.1016/j.nicl.2021.102607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 02/09/2021] [Accepted: 02/15/2021] [Indexed: 12/04/2022]
Abstract
We constructed WPM from healthy elderly Koreans. WPM may serve as a tool to study pathology and normal aging of distribution of WMH. WPM provides a prominent atlas of the age related distribution of WMH.
Background and purpose Although two white matter hyperintensity (WMH) probability maps of healthy older adults already exist, they have several limitations in representing the distribution of WMH in healthy older adults, especially Asian older adults. We constructed and validated a WMH probability map (WPM) of healthy older Koreans and examined the age-associated differences of WMH. Methods We constructed WPM using development dataset that consisted of high-resolution 3D fluid-attenuated inversion recovery images of 5 age groups (60–64 years, 65–69 years, 70–74 years, 75–79 years, and 80+ years). Each age group included 30 age-matched men and women each. We tested the validity of the WPM by comparing WMH ages estimated by the WPM and the chronological ages of 30 healthy controls, 30 hypertension patients, and 30 S patients. Results Older age groups showed a higher volume of WMH in both hemispheres (p < 0.001). About 90% of the WMH were periventricular in all age groups. With advancing age, the peak of the distance histogram from the ventricular wall of the periventricular WMH shifted away from the ventricular wall, while that of deep WMH shifted toward the ventricular wall. The estimated WMH ages were comparable to the chronological ages in the healthy controls, while being higher than the chronological ages in hypertension and stroke patients. Conclusions This WPM may serve as a standard atlas in research on WMH of older adults, especially Asians.
Collapse
Affiliation(s)
- Jun Sung Kim
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - Subin Lee
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - Grace Eun Kim
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - Dae Jong Oh
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggido, South Korea
| | - Woori Moon
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggido, South Korea
| | - Jong Bin Bae
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggido, South Korea
| | - Ji Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggido, South Korea
| | - Seonjeong Byun
- Department of Neuropsychiatry, National Medical Center, Seoul, South Korea
| | - Seung Wan Suh
- Department of Psychiatry, College of Medicine, Hallym University, Kangdong Sacred Heart Hospital, Seoul, South Korea
| | - Yu Yong Choi
- National Research Center for Dementia, Chosun University, Gwangju, South Korea; Biomedical Technology Center, Chosun University Hospital, Gwangju, South Korea
| | - Kyu Yeong Choi
- National Research Center for Dementia, Chosun University, Gwangju, South Korea
| | - Kun Ho Lee
- National Research Center for Dementia, Chosun University, Gwangju, South Korea; Department of Biomedical Science, Chosun University, Gwangju, South Korea
| | - Jae Hyoung Kim
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggido, South Korea
| | - Ki Woong Kim
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, South Korea; Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggido, South Korea; Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea.
| |
Collapse
|
31
|
Ahmed S, Kim BC, Lee KH, Jung HY. Ensemble of ROI-based convolutional neural network classifiers for staging the Alzheimer disease spectrum from magnetic resonance imaging. PLoS One 2020; 15:e0242712. [PMID: 33290403 PMCID: PMC7723284 DOI: 10.1371/journal.pone.0242712] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 11/07/2020] [Indexed: 11/26/2022] Open
Abstract
Patches from three orthogonal views of selected cerebral regions can be utilized to learn convolutional neural network (CNN) models for staging the Alzheimer disease (AD) spectrum including preclinical AD, mild cognitive impairment due to AD, and dementia due to AD and normal controls. Hippocampi, amygdalae and insulae were selected from the volumetric analysis of structured magnetic resonance images (MRIs). Three-view patches (TVPs) from these regions were fed to the CNN for training. MRIs were classified with the SoftMax-normalized scores of individual model predictions on TVPs. The significance of each region of interest (ROI) for staging the AD spectrum was evaluated and reported. The results of the ensemble classifier are compared with state-of-the-art methods using the same evaluation metrics. Patch-based ROI ensembles provide comparable diagnostic performance for AD staging. In this work, TVP-based ROI analysis using a CNN provides informative landmarks in cerebral MRIs and may have significance in clinical studies and computer-aided diagnosis system design.
Collapse
Affiliation(s)
- Samsuddin Ahmed
- Department of Computer Engineering, Chosun University, Gwangju, South Korea
| | - Byeong C. Kim
- Gwangju Alzheimer’s disease and Related Dementias Cohort Research Center, Chosun University, Gwangju, Korea
- Department of Neurology, Chonnam National University Medical School, Gwangju, South Korea
| | - Kun Ho Lee
- Gwangju Alzheimer’s disease and Related Dementias Cohort Research Center, Chosun University, Gwangju, Korea
- Department of Biomedical Science, Chosun University, Gwangju, South Korea
- Korea Brain Research Institute, Daegu, Korea
| | - Ho Yub Jung
- Department of Computer Engineering, Chosun University, Gwangju, South Korea
| | | |
Collapse
|
32
|
Bruni AC, Bernardi L, Gabelli C. From beta amyloid to altered proteostasis in Alzheimer's disease. Ageing Res Rev 2020; 64:101126. [PMID: 32683041 DOI: 10.1016/j.arr.2020.101126] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 05/27/2020] [Accepted: 07/13/2020] [Indexed: 12/14/2022]
Abstract
Alzheimer's disease (AD) is an age related neurodegenerative disorder causing severe disability and important socio-economic burden, but with no cure available to date. To disentangle this puzzling disease genetic studies represented an important way for the comprehension of pathogenic mechanisms. Abnormal processing and accumulation of amyloid-β peptide (Aβ) has been considered the main cause and trigger factor of the disease. The amyloid cascade theory has fallen into crisis because the failure of several anti-amyloid drugs trials and because of the simple equation AD = abnormal Aβ deposition is not always the case. We now know that multiple neurodegenerative diseases share common pathogenic mechanisms leading to accumulation of misfolded protein species. Genome Wide Association studies (GWAS) led to the identification of large numbers of DNA common variants (SNPs) distributed on different chromosomes and modulating the Alzheimer's risk. GWAS genes fall into several common pathways such as immune system and neuroinflammation, lipid metabolism, synaptic dysfunction and endocytosis, all of them addressing to novel routes for different pathogenic mechanisms. Other hints could be derived from epidemiological and experimental studies showing some lifestyles may have a major role in the pathogenesis of many age-associated diseases by modifying cell metabolism, proteostasis and microglia mediated neuroinflammation.
Collapse
Affiliation(s)
- Amalia C Bruni
- Regional Neurogenetic Centre, ASP Catanzaro, Lamezia Terme (CZ), Italy.
| | - Livia Bernardi
- Regional Neurogenetic Centre, ASP Catanzaro, Lamezia Terme (CZ), Italy
| | - Carlo Gabelli
- Regional Brain Aging Centre, Azienda Ospedale Università Di Padova, Padova Italy
| |
Collapse
|
33
|
Kulminski AM, Philipp I, Loika Y, He L, Culminskaya I. Haplotype architecture of the Alzheimer's risk in the APOE region via co-skewness. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12129. [PMID: 33204816 PMCID: PMC7656174 DOI: 10.1002/dad2.12129] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 10/07/2020] [Accepted: 10/08/2020] [Indexed: 12/30/2022]
Abstract
INTRODUCTION As a multifactorial polygenic disorder, Alzheimer's disease (AD) can be associated with complex haplotypes or compound genotypes. METHODS We examined associations of 4960 single nucleotide polymorphism (SNP) triples, comprising 32 SNPs from five genes in the apolipoprotein E gene (APOE) region with AD in a sample of 2789 AD-affected and 16,334 unaffected subjects. RESULTS We identified a large number of 1127 AD-associated triples, comprising SNPs from all five genes, in support of definitive roles of complex haplotypes in predisposition to AD. These haplotypes may not include the APOE ε4 and ε2 alleles. For triples with rs429358 or rs7412, which encode these alleles, AD is characterized mainly by strengthening connections of the ε4 allele and weakening connections of the ε2 allele with the other alleles in this region. DISCUSSION Dissecting heterogeneity attributed to AD-associated complex haplotypes in the APOE region will target more homogeneous polygenic profiles of people at high risk of AD.
Collapse
Affiliation(s)
- Alexander M. Kulminski
- Biodemography of Aging Research UnitSocial Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Ian Philipp
- Biodemography of Aging Research UnitSocial Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Yury Loika
- Biodemography of Aging Research UnitSocial Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Liang He
- Biodemography of Aging Research UnitSocial Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Irina Culminskaya
- Biodemography of Aging Research UnitSocial Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| |
Collapse
|
34
|
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.
Collapse
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
| |
Collapse
|
35
|
Huang M, Wang Y, Wang L, Chen B, Wang X, Hu Y. APOE rs405509 polymorphism and Parkinson's disease risk in the Chinese population. Neurosci Lett 2020; 736:135256. [PMID: 32682842 DOI: 10.1016/j.neulet.2020.135256] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 07/04/2020] [Accepted: 07/14/2020] [Indexed: 11/18/2022]
Abstract
Parkinson's disease (PD) is the second most common progressive neurodegenerative disorder with complex etiology involving both genetic and environmental factors. Apolipoprotein E (ApoE) rs405509 (-219 T/G), a promoter SNP, controls the expression of APOE gene, and plays a modifier effect of APOE ε4 on the susceptibility of Alzheimer's disease. In this study, we investigate the association between APOE rs405509 polymorphism and the susceptibility of PD in a Chinese population. A total of 1020 subjects were collected including 510 sporadic PD patients (mean age: 63.11 ± 9.28 years) and 510 healthy control subjects (mean age: 62.97 ± 9.09 years). APOE rs405509 polymorphism was genotyped using a TaqMan genotyping method. The Hardy-Weinberg Equilibrium (HWE) was calculated for the control group by Chi-square (χ2) test. The strength of this association between the APOE rs405509 polymorphism and PD risk was evaluated with crude odds ratios (ORs) and 95 % confidence intervals (CIs) using a logistic regression analysis. The T allele frequency was 0.84 and 0.70 in the PD and control groups, respectively. T allele carriers of rs405509 were associated with an increased overall risk of PD and in male subjects in the allele, recessive, and additive genetic models. Similar results in female subjects were found in the allele and recessive genetic models. In conclusion, our study suggests that the APOE rs405509 T allele is correlated with increased susceptibility of PD in a Chinese population.
Collapse
Affiliation(s)
- Ming Huang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Yu Wang
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Lu Wang
- Key Laboratory of Brain Research of Henan Province, Sino-UK Joint Laboratory of Brain Function and Injury of Henan Province, Department of Physiology and Neurobiology, Xinxiang Medical University, Xinxiang, 453003, China.
| | - Bo Chen
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Xiong Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Yu Hu
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China.
| |
Collapse
|
36
|
Zhang Q, Wu L, Du C, Xu K, Sun J, Zhang J, Li H, Li X. Effects of an APOE Promoter Polymorphism on Fronto-Parietal Functional Connectivity During Nondemented Aging. Front Aging Neurosci 2020; 12:183. [PMID: 32694990 PMCID: PMC7338603 DOI: 10.3389/fnagi.2020.00183] [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: 02/14/2020] [Accepted: 05/26/2020] [Indexed: 01/03/2023] Open
Abstract
Background: The rs405509 polymorphism ofthe apolipoprotein E (APOE) promoter is related to Alzheimer'sdisease (AD). The T/T allele of rs405509 is known to decrease the transcription of the APOE gene and lead to impairments in specific brain structural networks with aging; thus, it is an important risk factor for AD. However, it remains unknown whether rs405509 affects brain functional connectivity (FC) in aging. Methods: We investigated the effect of the rs405509 genotype (T/T vs. G-allele) on age-related brain FC using functional magnetic resonance imaging. Forty-five elderly TT carriers and 45 elderly G-allele carriers were scanned during a working memory (WM) task. Results: We found that TT carriers showed an accelerated age-related increase in functional activation in the left postcentral gyrus compared with G-allele carriers. Furthermore, the FC between the left postcentral gyrus and some key regions during WM performance, including the right caudal and superior frontal sulcus (SFS), was differentially modulated by age across rs405509 genotype groups. Conclusions: These results demonstrate that the rs405509 T/T allele of APOE causes an age-related brain functional decline in nondemented elderly people, which may be beneficial for understanding the neural mechanisms of rs405509-related cognitive aging and AD pathogenesis.
Collapse
Affiliation(s)
- Qirui Zhang
- Institute of Criminology, People’s Public Security University of China, Beijing, China
| | - Lingli Wu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- BABRI Centre, Beijing Normal University, Beijing, China
| | - Chao Du
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- BABRI Centre, Beijing Normal University, Beijing, China
| | - Kai Xu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- BABRI Centre, Beijing Normal University, Beijing, China
| | - Jinping Sun
- The Affiliated Hospital of Qingdao University, Shandong, China
| | - Junying Zhang
- BABRI Centre, Beijing Normal University, Beijing, China
| | - He Li
- BABRI Centre, Beijing Normal University, Beijing, China
| | - Xin Li
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- BABRI Centre, Beijing Normal University, Beijing, China
| |
Collapse
|