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Strong impact of natural-selection-free heterogeneity in genetics of age-related phenotypes.

Citation
Kulminski, A. M., et al. “Strong Impact Of Natural-Selection-Free Heterogeneity In Genetics Of Age-Related Phenotypes.”. Aging, pp. 492-514.
Center UCSD-UCLA
Author Alexander M Kulminski, Jian Huang, Yury Loika, Konstantin G Arbeev, Olivia Bagley, Arseniy Yashkin, Matt Duan, Irina Culminskaya
Keywords age-related phenotypes, aging, antagonistic genetic heterogeneity, genome-wide association studies, health span, life span, pleiotropy
Abstract

A conceptual difficulty in genetics of age-related phenotypes that make individuals vulnerable to disease in post-reproductive life is genetic heterogeneity attributed to an undefined role of evolution in establishing their molecular mechanisms. Here, we performed univariate and pleiotropic genome-wide meta-analyses of 20 age-related phenotypes leveraging longitudinal information in a sample of 33,431 individuals and dealing with the natural-selection-free genetic heterogeneity. We identified 142 non-proxy single nucleotide polymorphisms (SNPs) with phenotype-specific (18 SNPs) and pleiotropic (124 SNPs) associations at genome-wide level. Univariate meta-analysis identified two novel (11.1%) and replicated 16 SNPs whereas pleiotropic meta-analysis identified 115 novel (92.7%) and nine replicated SNPs. Pleiotropic associations for most novel (93.9%) and all replicated SNPs were strongly impacted by the natural-selection-free genetic heterogeneity in its unconventional form of antagonistic heterogeneity, implying antagonistic directions of genetic effects for directly correlated phenotypes. Our results show that the common genome-wide approach is well adapted to handle homogeneous univariate associations within Mendelian framework whereas most associations with age-related phenotypes are more complex and well beyond that framework. Dissecting the natural-selection-free genetic heterogeneity is critical for gaining insights into genetics of age-related phenotypes and has substantial and unexplored yet potential for improving efficiency of genome-wide analysis.

Year of Publication
2018
Journal
Aging
Volume
10
Issue
3
Number of Pages
492-514
Date Published
12/2018
ISSN Number
1945-4589
DOI
10.18632/aging.101407
Alternate Journal
Aging (Albany NY)
PMID
29615537
PMCID
PMC5892700
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