Evaluation of the Genetic Variance of Alzheimer's Disease Explained by the Disease-Associated Chromosomal Regions.


Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2019
Historique:
pubmed: 10 7 2019
medline: 10 10 2020
entrez: 9 7 2019
Statut: ppublish

Résumé

Heritability analysis of complex traits/diseases is commonly performed to obtain illustrative information about the potential contribution of the genetic factors to their phenotypic variances. In this study, we investigated the narrow-sense heritability (h2) of Alzheimer's disease (AD) using genome-wide single-nucleotide polymorphisms (SNPs) data from three independent studies in the linear mixed models framework. Our meta-analyses demonstrated that the estimated h2 values (and their standard errors) of AD in liability scale were 0.280 (0.091), 0.348 (0.113), and 0.389 (0.126) assuming AD prevalence rates of 10%, 20%, or 30% at ages of 65+, 75+, and 85+ years, respectively. We also found that chromosomal regions containing two or more AD-associated SNPs at p < 5E-08 could collectively explain 37% of the additive genetic variance of AD in our samples. AD-associated regions in which at least one SNP had attained p < 5E-08 explained 56% of the additive genetic variance of AD. These regions harbored 3% and 11% of SNPs in our analyses. Also, the chromosomal regions containing two or more and one or more AD-associated SNPs at p < 5E-06 accounted for 72% and 94% of the additive genetic variance of AD, respectively. These regions harbored 27% and 44% of SNPs in our analyses. Our findings showed that the overall contribution of the additive genetic effects to the AD liability was moderate and age-dependent. Also, they supported the importance of focusing on known AD-associated chromosomal regions to investigate the genetic basis of AD, e.g., through haplotype analysis, analysis of heterogeneity, and functional studies.

Identifiants

pubmed: 31282417
pii: JAD190168
doi: 10.3233/JAD-190168
pmc: PMC7243481
mid: NIHMS1580787
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

907-915

Subventions

Organisme : NIA NIH HHS
ID : RC4 AG039029
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG009740
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201500001C
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL076784
Pays : United States
Organisme : NHLBI NIH HHS
ID : N02HL64278
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG008122
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL036473
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201500001I
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65226
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG043352
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC25195
Pays : United States
Organisme : NIA NIH HHS
ID : RC2 AG036495
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG047310
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK080739
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG028321
Pays : United States

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Auteurs

Alireza Nazarian (A)

Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.

Alexander M Kulminski (AM)

Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.

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