Genome-wide analyses identify 25 infertility loci and relationships with reproductive traits across the allele frequency spectrum

Samvida S. Venkatesh*, Laura B.L. Wittemans, Duncan S. Palmer, Nikolas A. Baya, Teresa Ferreira, Barney Hill, Frederik Heymann Lassen, Melody J. Parker, Saskia Reibe, Ahmed Elhakeem, Karina Banasik, Mie T. Bruun, Christian Erikstrup, Bitten Aagard Jensen, Anders Juul, Christina Mikkelsen, Henriette S. Nielsen, Sisse R. Ostrowski, Ole B. Pedersen, Palle Duun RohdeErik Sørensen, Henrik Ullum, David Westergaard, Asgeir Haraldsson, Hilma Holm, Ingileif Jonsdottir, Isleifur Olafsson, Thora Steingrimsdottir, Valgerdur Steinthorsdottir, Gudmar Thorleifsson, Jessica Figueredo, Minna K. Karjalainen, Anu Pasanen, Benjamin M. Jacobs, Georgios Kalantzis, Nikki Hubers, David A. van Heel, Georgi Hudjashov, Mari Nelis, Tõnu Esko, Lili Milani, Andres Metspalu, Reedik Mägi, Jaak Vilo, Sulev Reisberg, Sven Laur, Raivo Kolde, Bitten Aagard Jensen, Minna K. Karjalainen, Mette Nyegaard, Genes & Health Research Team, Estonian Biobank Research Team, Estonian Health Informatics Research Team, DBDS Genomic Consortium, FinnGen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Genome-wide association studies (GWASs) may help inform the etiology of infertility. Here, we perform GWAS meta-analyses across seven cohorts in up to 42,629 cases and 740,619 controls and identify 25 genetic risk loci for male and female infertility. We additionally identify up to 269 genetic loci associated with follicle-stimulating hormone, luteinizing hormone, estradiol and testosterone through sex-specific GWAS meta-analyses (n = 6,095–246,862). Exome sequencing analyses reveal that women carrying testosterone-lowering rare variants in some genes are at risk of infertility. However, we find no local or genome-wide genetic correlation between female infertility and reproductive hormones. While infertility is genetically correlated with endometriosis and polycystic ovary syndrome, we find limited genetic overlap between infertility and obesity. Finally, we show that the evolutionary persistence of infertility-risk alleles may be explained by directional selection. Taken together, we provide a comprehensive view of the genetic determinants of infertility across multiple diagnostic criteria.

Original languageEnglish
Article number22
JournalNature Genetics
ISSN1061-4036
DOIs
Publication statusAccepted/In press - 2025

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