rs12193858 - ARMC2
Magnitude 2.2 · 2 studies on file
Reported associations
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Atlas of genetic and phenotypic associations across 42 female reproductive health diagnoses. - Nature medicine (2025) · Pujol Gualdo N, Džigurski J, Rukins V, Pajuste FD, Wolford BN, Võsa M, Golob M, Haug L, Alver M, Läll K, Peters M, Brumpton BM, Palta P, Mägi R, Laisk T · PubMed 40069456
The genetic background of many female reproductive health diagnoses remains uncharacterized, compromising our understanding of the underlying biology. Here, we map the genetic architecture across 42 female-specific health conditions using data from up to 293,618 women from two large population-based cohorts, the Estonian Biobank and the FinnGen study. Our study illustrates the utility of genetic analyses in understanding women's health better. As specific examples, we describe genetic risk factors for ovarian cysts that elucidate the genetic determinants of folliculogenesis and, by leveraging population-specific variants, uncover new candidate genes for uterine fibroids. We find that most female reproductive health diagnoses have a heritable component, with varying degrees of polygenicity
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Uncovering the shared genetic components of thyroid disorders and reproductive health. - European journal of endocrinology (2024) · Figuerêdo J, Krebs K, Pujol-Gualdo N, Haller T, Võsa U, Volke V, Laisk T, Mägi R · PubMed 39067062
The aim of the study is to map the shared genetic component and relationships between thyroid and reproductive health traits to improve the understanding of the interplay between those domains. A large-scale genetic analysis of thyroid traits (hyper- and hypothyroidism, and thyroid-stimulating hormone levels) was conducted in up to 743 088 individuals of European ancestry from various cohorts. We evaluated genetic associations using genome-wide association study (GWAS) meta-analysis, GWAS Catalog lookup, gene prioritization, mouse phenotype lookup, and genetic correlation analysis. GWAS meta-analysis results for thyroid phenotypes showed that 50 lead variants out of 253 (including 5/52 of the novel hits) were linked to reproductive health in previous literature. Genetic correlation analyse
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