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Springer Nature [academic journals on nature.com], European Journal of Human Genetics, 2(24), p. 284-290, 2015

DOI: 10.1038/ejhg.2015.102

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Genome-wide association study with 1000 genomes imputation identifies signals for nine sex hormone-related phenotypes

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Published ; Journal Article ; Research Support, Non-U.S. Gov't ; This is the final version of the article. Available from Nature Publishing Group via the DOI in this record. ; Genetic factors contribute strongly to sex hormone levels, yet knowledge of the regulatory mechanisms remains incomplete. Genome-wide association studies (GWAS) have identified only a small number of loci associated with sex hormone levels, with several reproductive hormones yet to be assessed. The aim of the study was to identify novel genetic variants contributing to the regulation of sex hormones. We performed GWAS using genotypes imputed from the 1000 Genomes reference panel. The study used genotype and phenotype data from a UK twin register. We included 2913 individuals (up to 294 males) from the Twins UK study, excluding individuals receiving hormone treatment. Phenotypes were standardised for age, sex, BMI, stage of menstrual cycle and menopausal status. We tested 7,879,351 autosomal SNPs for association with levels of dehydroepiandrosterone sulphate (DHEAS), oestradiol, free androgen index (FAI), follicle-stimulating hormone (FSH), luteinizing hormone (LH), prolactin, progesterone, sex hormone-binding globulin and testosterone. Eight independent genetic variants reached genome-wide significance (P