GWAS on birth year infant mortality rates provides evidence of recent natural selection

Yuchang Wu, Shiro Furuya, Zihang Wang, Jenna E. Nobles, Jason Fletcher and Qiongshi Lu
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Yuchang Wu: a Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, Madison, WI 53706;; b Center for Demography of Health and Aging, University of Wisconsin–Madison, Madison, WI 53706;
Shiro Furuya: c Department of Sociology, University of Wisconsin–Madison, Madison, WI 53706;
Zihang Wang: d Department of Statistics, University of Wisconsin–Madison, Madison, WI 53706;
Jenna E. Nobles: b Center for Demography of Health and Aging, University of Wisconsin–Madison, Madison, WI 53706;; c Department of Sociology, University of Wisconsin–Madison, Madison, WI 53706;
Qiongshi Lu: a Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, Madison, WI 53706;; b Center for Demography of Health and Aging, University of Wisconsin–Madison, Madison, WI 53706;; d Department of Statistics, University of Wisconsin–Madison, Madison, WI 53706;

Proceedings of the National Academy of Sciences, 2022, vol. 119, issue 12, e2117312119

Abstract: Quantifying natural selection in human populations is a central topic in evolutionary biology and human genetics. Current studies to identify which single-nucleotide polymorphism has undergone selection suffer from limited sample sizes and large uncertainties in the timing of selection. In this study, we advance the field by showing that a genome-wide association study (GWAS) on infant mortality rate can identify recent selection signals. Our study produces well-powered genome-wide maps for selection. It replicates two selection signals that were detected in a previous study using ancient DNA, substantially improves the resolution on the timing of selection, and provides evidence for very recent selection during World War II. It also provides fundamental insights into how to interpret GWAS results.

Keywords: infant mortality; recent natural selection; regional GWAS (search for similar items in EconPapers)
Date: 2022
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