%0 Journal Article %J Aging (Albany NY) %D 2018 %T Strong impact of natural-selection-free heterogeneity in genetics of age-related phenotypes. %A Kulminski, Alexander M %A Huang, Jian %A Loika, Yury %A Arbeev, Konstantin G %A Bagley, Olivia %A Yashkin, Arseniy %A Duan, Matt %A Culminskaya, Irina %K Aging %K Computational Biology %K Gene Expression Regulation %K Genome-Wide Association Study %K Genotype %K Humans %K Polymorphism, Single Nucleotide %X

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.

%B Aging (Albany NY) %V 10 %P 492-514 %8 2018 03 29 %G eng %N 3 %R 10.18632/aging.101407