Quality control and analytic best practices for testing genetic models of sex differences in large populations

Phenotypic sex-based differences exist for many complex traits. In other cases, phenotypes may be similar, but underlying biology may vary. Thus, sex-aware genetic analyses are becoming increasingly important for understanding the mechanisms driving these differences. To this end, we provide a guide...

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Veröffentlicht in:Cell 2023-05, Vol.186 (10), p.2044-2061
Hauptverfasser: Khramtsova, Ekaterina A., Wilson, Melissa A., Martin, Joanna, Winham, Stacey J., He, Karen Y., Davis, Lea K., Stranger, Barbara E.
Format: Artikel
Sprache:eng
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Zusammenfassung:Phenotypic sex-based differences exist for many complex traits. In other cases, phenotypes may be similar, but underlying biology may vary. Thus, sex-aware genetic analyses are becoming increasingly important for understanding the mechanisms driving these differences. To this end, we provide a guide outlining the current best practices for testing various models of sex-dependent genetic effects in complex traits and disease conditions, noting that this is an evolving field. Insights from sex-aware analyses will not only teach us about the biology of complex traits but also aid in achieving the goals of precision medicine and health equity for all. Sex-associated characteristics influence human health in many ways. This primer reviews best practices for testing various models of sex-related genetic effects in complex traits and diseases. Such analyses not only improve our understanding of biology but can also, when done properly, further precision medicine and health equity goals.
ISSN:0092-8674
1097-4172
DOI:10.1016/j.cell.2023.04.014