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Kulminski AM, Jain‐Washburn E, Nazarian A, Wilkins HM, Veatch O, Swerdlow RH, Honea RA. Association of APOE alleles and polygenic profiles comprising APOE-TOMM40-APOC1 variants with Alzheimer's disease neuroimaging markers. Alzheimers Dement 2025; 21:e14445. [PMID: 39713891 PMCID: PMC11848341 DOI: 10.1002/alz.14445] [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: 09/13/2024] [Revised: 10/28/2024] [Accepted: 11/10/2024] [Indexed: 12/24/2024]
Abstract
INTRODUCTION TOMM40 and APOC1 variants can modulate the APOE-ε4-related Alzheimer's disease (AD) risk by up to fourfold. We aim to investigate whether the genetic modulation of ε4-related AD risk is reflected in brain morphology. METHODS We tested whether 27 magnetic resonance imaging-derived neuroimaging markers of neurodegeneration (volume and thickness in temporo-limbic regions) are associated with APOE-TOMM40-APOC1 polygenic profiles using the National Alzheimer's Coordinating Center Uniform Data Set linked to the AD Genetic Consortium data. RESULTS All brain regions studied using structural phenotypes were smaller in individuals with AD. The ε4 allele was associated with smaller limbic (entorhinal, hippocampus, parahippocampus) brain volume and cortical thickness in AD cases than controls. There were significant differences in the associations for the higher-risk and lower-risk ε4-bearing APOE-TOMM40-APOC1 profiles with temporo-limbic region markers. DISCUSSION The APOE-AD heterogeneity may be partly attributed to the modulating role of the TOMM40 and APOC1 genes in the APOE cluster. HIGHLIGHTS The ε4 allele is associated with smaller values of neuroimaging markers in AD cases. Larger values of neuroimaging markers may protect against AD in the ε4 carriers. TOMM40 and APOC1 variants differentiate AD risk in the ε4 carriers. The same variants can differentiate the links between ε4 and neuroimaging markers.
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Affiliation(s)
- Alexander M. Kulminski
- Biodemography of Aging Research UnitSocial Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Ethan Jain‐Washburn
- Biodemography of Aging Research UnitSocial Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Alireza Nazarian
- Biodemography of Aging Research UnitSocial Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Heather M. Wilkins
- Department of NeurologyUniversity of Kansas School of MedicineKansas CityKansasUSA
- University of Kansas Alzheimer's Disease CenterUniversity of Kansas School of MedicineKansas CityKansasUSA
| | - Olivia Veatch
- University of Kansas Alzheimer's Disease CenterUniversity of Kansas School of MedicineKansas CityKansasUSA
- Department of PsychiatryUniversity of Kansas School of MedicineKansas CityKansasUSA
| | - Russell H. Swerdlow
- Department of NeurologyUniversity of Kansas School of MedicineKansas CityKansasUSA
- University of Kansas Alzheimer's Disease CenterUniversity of Kansas School of MedicineKansas CityKansasUSA
| | - Robyn A. Honea
- Department of NeurologyUniversity of Kansas School of MedicineKansas CityKansasUSA
- University of Kansas Alzheimer's Disease CenterUniversity of Kansas School of MedicineKansas CityKansasUSA
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Sampatakakis SN, Mourtzi N, Charisis S, Mamalaki E, Ntanasi E, Hatzimanolis A, Ramirez A, Lambert JC, Yannakoulia M, Kosmidis MH, Dardiotis E, Hadjigeorgiou G, Megalou M, Sakka P, Scarmeas N. Walking time and genetic predisposition for Alzheimer's disease: Results from the HELIAD study. Clin Neuropsychol 2025; 39:83-99. [PMID: 38741352 DOI: 10.1080/13854046.2024.2344869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 04/15/2024] [Indexed: 05/16/2024]
Abstract
Objective: Our study aimed to explore whether physical condition might affect the association between genetic predisposition for Alzheimer's Disease (AD) and AD incidence. Methods: The sample of participants consisted of 561 community-dwelling adults over 64 years old, without baseline dementia (508 cognitively normal and 53 with mild cognitive impairment), deriving from the HELIAD, an ongoing longitudinal study with follow-up evaluations every 3 years. Physical condition was assessed at baseline through walking time (WT), while a Polygenic Risk Score for late onset AD (PRS-AD) was used to estimate genetic predisposition. The association between WT and PRS-AD with AD incidence was evaluated with Cox proportional hazard models adjusted for age, sex, education years, global cognition score and APOE ε-4 genotype. Then, the association between WT and AD incidence was investigated after stratifying participants by low and high PRS-AD. Finally, we examined the association between PRS-AD and AD incidence after stratifying participants by WT. Results: Both WT and PRS-AD were connected with increased AD incidence (p < 0.05), after adjustments. In stratified analyses, in the slow WT group participants with a greater genetic risk had a 2.5-fold higher risk of developing AD compared to participants with lower genetic risk (p = 0.047). No association was observed in the fast WT group or when participants were stratified based on PRS-AD. Conclusions: Genetic predisposition for AD is more closely related to AD incidence in the group of older adults with slow WT. Hence, physical condition might be a modifier in the relationship of genetic predisposition with AD incidence.
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Affiliation(s)
- Stefanos N Sampatakakis
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Niki Mourtzi
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Sokratis Charisis
- Department of Neurology, UT Health San Antonio, San Antonio, TX, USA
| | - Eirini Mamalaki
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Eva Ntanasi
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Alex Hatzimanolis
- Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Aiginition Hospital, Athens, Greece
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, Cologne, Germany
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany
- Department of Psychiatry, Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Jean-Charles Lambert
- U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, Lille, France
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Mary H Kosmidis
- Lab of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Efthimios Dardiotis
- Department of Neurology, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, Greece
| | | | | | - Paraskevi Sakka
- Athens Association of Alzheimer's Disease and Related Disorders, Marousi, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
- Department of Neurology, The Gertrude H. Sergievsky Center, Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA
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Lutz MW, Chiba-Falek O. Bioinformatics pipeline to guide post-GWAS studies in Alzheimer's: A new catalogue of disease candidate short structural variants. Alzheimers Dement 2023; 19:4094-4109. [PMID: 37253165 PMCID: PMC10524333 DOI: 10.1002/alz.13168] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 04/27/2023] [Accepted: 05/08/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND Short structural variants (SSVs), including insertions/deletions (indels), are common in the human genome and impact disease risk. The role of SSVs in late-onset Alzheimer's disease (LOAD) has been understudied. In this study, we developed a bioinformatics pipeline of SSVs within LOAD-genome-wide association study (GWAS) regions to prioritize regulatory SSVs based on the strength of their predicted effect on transcription factor (TF) binding sites. METHODS The pipeline utilized publicly available functional genomics data sources including candidate cis-regulatory elements (cCREs) from ENCODE and single-nucleus (sn)RNA-seq data from LOAD patient samples. RESULTS We catalogued 1581 SSVs in candidate cCREs in LOAD GWAS regions that disrupted 737 TF sites. That included SSVs that disrupted the binding of RUNX3, SPI1, and SMAD3, within the APOE-TOMM40, SPI1, and MS4A6A LOAD regions. CONCLUSIONS The pipeline developed here prioritized non-coding SSVs in cCREs and characterized their putative effects on TF binding. The approach integrates multiomics datasets for validation experiments using disease models.
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Affiliation(s)
- Michael W. Lutz
- Division of Translational Brain Sciences, Department of Neurology, Duke University Medical Center, Durham, NC 27710, USA
| | - Ornit Chiba-Falek
- Division of Translational Brain Sciences, Department of Neurology, Duke University Medical Center, Durham, NC 27710, USA
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27710, USA
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Kulminski AM, Jain‐Washburn E, Philipp I, He L, Loika Y, Loiko E, Bagley O, Ukraintseva S, Yashin A, Arbeev K, Stallard E, Feitosa MF, Schupf N, Christensen K, Culminskaya I. APOE ɛ4 allele and TOMM40-APOC1 variants jointly contribute to survival to older ages. Aging Cell 2022; 21:e13730. [PMID: 36330582 PMCID: PMC9741507 DOI: 10.1111/acel.13730] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 09/23/2022] [Accepted: 03/10/2022] [Indexed: 11/06/2022] Open
Abstract
Age-related diseases characteristic of post-reproductive life, aging, and life span are the examples of polygenic non-Mendelian traits with intricate genetic architectures. Polygenicity of these traits implies that multiple variants can impact their risks independently or jointly as combinations of specific variants. Here, we examined chances to live to older ages, 85 years and older, for carriers of compound genotypes comprised of combinations of genotypes of rs429358 (APOE ɛ4 encoding polymorphism), rs2075650 (TOMM40), and rs12721046 (APOC1) polymorphisms using data from four human studies. The choice of these polymorphisms was motivated by our prior results showing that the ɛ4 carriers having minor alleles of the other two polymorphisms were at exceptionally high risk of Alzheimer's disease (AD), compared with non-carriers of the minor alleles. Consistent with our prior findings for AD, we show here that the adverse effect of the ɛ4 allele on survival to older ages is significantly higher in carriers of minor alleles of rs2075650 and/or rs12721046 polymorphisms compared with their non-carriers. The exclusion of AD cases made this effect stronger. Our results provide compelling evidence that AD does not mediate the associations of the same compound genotypes with chances to survive until older ages, indicating the existence of genetically heterogeneous mechanisms. The survival chances can be mainly associated with lipid- and immunity-related mechanisms, whereas the AD risk, can be driven by the AD-biomarker-related mechanism, among others. Targeting heterogeneous polygenic profiles of individuals at high risks of complex traits is promising for the translation of genetic discoveries to health care.
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Affiliation(s)
- Alexander M. Kulminski
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Ethan Jain‐Washburn
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Ian Philipp
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Liang He
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Yury Loika
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Elena Loiko
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Olivia Bagley
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Svetlana Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Anatoliy Yashin
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Konstantin Arbeev
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Eric Stallard
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Mary F. Feitosa
- Division of Statistical Genomics, Department of GeneticsWashington University School of MedicineSt LouisMissouriUSA
| | - Nicole Schupf
- Gertrude H. Sergievsky CenterColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Kaare Christensen
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public HealthSouthern Denmark UniversityOdenseDenmark
| | - Irina Culminskaya
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
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Kulminski AM, Jain-Washburn E, Loiko E, Loika Y, Feng F, Culminskaya I. Associations of the APOE ε2 and ε4 alleles and polygenic profiles comprising APOE-TOMM40-APOC1 variants with Alzheimer's disease biomarkers. Aging (Albany NY) 2022; 14:9782-9804. [PMID: 36399096 PMCID: PMC9831745 DOI: 10.18632/aging.204384] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/31/2022] [Indexed: 11/19/2022]
Abstract
Capturing the genetic architecture of Alzheimer's disease (AD) is challenging because of the complex interplay of genetic and non-genetic factors in its etiology. It has been suggested that AD biomarkers may improve the characterization of AD pathology and its genetic architecture. Most studies have focused on connections of individual genetic variants with AD biomarkers, whereas the role of combinations of genetic variants is substantially underexplored. We examined the associations of the APOE ε2 and ε4 alleles and polygenic profiles comprising the ε4-encoding rs429358, TOMM40 rs2075650, and APOC1 rs12721046 polymorphisms with cerebrospinal fluid (CSF) and plasma amyloid β (Aβ40 and Aβ42) and tau biomarkers. Our findings support associations of the ε4 alleles with both plasma and CSF Aβ42 and CSF tau, and the ε2 alleles with baseline, but not longitudinal, CSF Aβ42 measurements. We found that the ε4-bearing polygenic profiles conferring higher and lower AD risks are differentially associated with tau but not Aβ42. Modulation of the effect of the ε4 alleles by TOMM40 and APOC1 variants indicates the potential genetic mechanism of differential roles of Aβ and tau in AD pathogenesis.
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Affiliation(s)
- Alexander M. Kulminski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
| | - Ethan Jain-Washburn
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
| | - Elena Loiko
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
| | - Yury Loika
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
| | - Fan Feng
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
| | - Irina Culminskaya
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
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Nazarian A, Loika Y, He L, Culminskaya I, Kulminski AM. Genome-wide analysis identified abundant genetic modulators of contributions of the apolipoprotein E alleles to Alzheimer's disease risk. Alzheimers Dement 2022; 18:2067-2078. [PMID: 34978151 PMCID: PMC9250541 DOI: 10.1002/alz.12540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 08/31/2021] [Accepted: 10/25/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION The apolipoprotein E (APOE) ε2 and ε4 alleles have beneficial and adverse impacts on Alzheimer's disease (AD), respectively, with incomplete penetrance, which may be modulated by other genetic variants. METHODS We examined whether the associations of the APOE alleles with other polymorphisms in the genome can be sensitive to AD-affection status. RESULTS We identified associations of the ε2 and ε4 alleles with 314 and 232 polymorphisms, respectively. Of them, 35 and 31 polymorphisms had significantly different effects in AD-affected and -unaffected groups, suggesting their potential involvement in the AD pathogenesis by modulating the effects of the ε2 and ε4 alleles, respectively. Our survival-type analysis of the AD risk supported modulating roles of multiple group-specific polymorphisms. Our functional analysis identified gene enrichment in multiple immune-related biological processes, for example, B cell function. DISCUSSION These findings suggest involvement of local and inter-chromosomal modulators of the effects of the APOE alleles on the AD risk.
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Affiliation(s)
- Alireza Nazarian
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA
| | - Yury Loika
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA
| | - Liang He
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA
| | - Irina Culminskaya
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA
| | - Alexander M. Kulminski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA
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Nazarian A, Loiko E, Yassine HN, Finch CE, Kulminski AM. APOE alleles modulate associations of plasma metabolites with variants from multiple genes on chromosome 19q13.3. Front Aging Neurosci 2022; 14:1023493. [PMID: 36389057 PMCID: PMC9650319 DOI: 10.3389/fnagi.2022.1023493] [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: 08/19/2022] [Accepted: 10/07/2022] [Indexed: 11/13/2022] Open
Abstract
The APOE ε2, ε3, and ε4 alleles differentially impact various complex diseases and traits. We examined whether these alleles modulated associations of 94 single-nucleotide polymorphisms (SNPs) harbored by 26 genes in 19q13.3 region with 217 plasma metabolites using Framingham Heart Study data. The analyses were performed in the E2 (ε2ε2 or ε2ε3 genotype), E3 (ε3ε3 genotype), and E4 (ε3ε4 or ε4ε4 genotype) groups separately. We identified 31, 17, and 22 polymorphism-metabolite associations in the E2, E3, and E4 groups, respectively, at a false discovery rate P FDR < 0.05. These entailed 51 and 19 associations with 20 lipid and 12 polar analytes. Contrasting the effect sizes between the analyzed groups showed 20 associations with group-specific effects at Bonferroni-adjusted P < 7.14E-04. Three associations with glutamic acid or dimethylglycine had significantly larger effects in the E2 than E3 group and 12 associations with triacylglycerol 56:5, lysophosphatidylethanolamines 16:0, 18:0, 20:4, or phosphatidylcholine 38:6 had significantly larger effects in the E2 than E4 group. Two associations with isocitrate or propionate and three associations with phosphatidylcholines 32:0, 32:1, or 34:0 had significantly larger effects in the E4 than E3 group. Nine of 70 SNP-metabolite associations identified in either E2, E3, or E4 groups attained P FDR < 0.05 in the pooled sample of these groups. However, none of them were among the 20 group-specific associations. Consistent with the evolutionary history of the APOE alleles, plasma metabolites showed higher APOE-cluster-related variations in the E4 than E2 and E3 groups. Pathway enrichment mainly highlighted lipids and amino acids metabolism and citrate cycle, which can be differentially impacted by the APOE alleles. These novel findings expand insights into the genetic heterogeneity of plasma metabolites and highlight the importance of the APOE-allele-stratified genetic analyses of the APOE-related diseases and traits.
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Affiliation(s)
- Alireza Nazarian
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States
| | - Elena Loiko
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States
| | - Hussein N. Yassine
- Departments of Medicine and Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Caleb E. Finch
- Andrus Gerontology Center, University of Southern California, Los Angeles, CA, United States
| | - Alexander M. Kulminski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States
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APOE, TOMM40, and sex interactions on neural network connectivity. Neurobiol Aging 2022; 109:158-165. [PMID: 34740077 PMCID: PMC8694046 DOI: 10.1016/j.neurobiolaging.2021.09.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 09/21/2021] [Accepted: 09/22/2021] [Indexed: 01/03/2023]
Abstract
The Apolipoprotein E ε4 (APOE ε4) haplotype is the strongest genetic risk factor for late-onset Alzheimer's disease (AD). The Translocase of Outer Mitochondrial Membrane-40 (TOMM40) gene maintains cellular bioenergetics, which is disrupted in AD. TOMM40 rs2075650 ('650) G versus A carriage is consistently related to neural and cognitive outcomes, but it is unclear if and how it interacts with APOE. We examined 21 orthogonal neural networks among 8,222 middle-aged to aged participants in the UK Biobank cohort. ANOVA and multiple linear regression tested main effects and interactions with APOE and TOMM40 '650 genotypes, and if age and sex acted as moderators. APOE ε4 was associated with less strength in multiple networks, while '650 G versus A carriage was related to more language comprehension network strength. In APOE ε4 carriers, '650 G-carriage led to less network strength with increasing age, while in non-G-carriers this was only seen in women but not men. TOMM40 may shift what happens to network activity in aging APOE ε4 carriers depending on sex.
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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: 1.5] [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.
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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
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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: 1.2] [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.
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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
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