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

Author

Listed:
  • 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;)

  • Jason M. Fletcher

    (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;; e La Follette School of Public Affairs, 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;)

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.

Suggested Citation

  • Yuchang Wu & Shiro Furuya & Zihang Wang & Jenna E. Nobles & Jason M. Fletcher & Qiongshi Lu, 2022. "GWAS on birth year infant mortality rates provides evidence of recent natural selection," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(12), pages 2117312119-, March.
    • Handle: RePEc:nas:journl:v:119:y:2022:p:e2117312119
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    Cited by:

    1. Stephanie von Hinke & Nicolai Vitt, 2024. "An analysis of the accuracy of retrospective birth location recall using sibling data," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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