Strong impact of natural-selection-free heterogeneity in genetics of age-related phenotypes.
| Citation | Kulminski, Alexander M, et al. “Strong Impact of Natural-Selection-Free Heterogeneity in Genetics of Age-Related Phenotypes”. 2018. Aging, vol. 10, no. 3, 2018, 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)
|
| PMCID |
PMC5892700
|
| PMID |
29615537
|
| Download citation |