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

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...

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Autores principales: Ruth, Katherine S, Campbell, Purdey J, Chew, Shelby, Lim, Ee Mun, Hadlow, Narelle, Stuckey, Bronwyn GA, Brown, Suzanne J, Feenstra, Bjarke, Joseph, John, Surdulescu, Gabriela L, Zheng, Hou Feng, Richards, J Brent, Murray, Anna, Spector, Tim D, Wilson, Scott G, Perry, John RB
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564946/
https://www.ncbi.nlm.nih.gov/pubmed/26014426
http://dx.doi.org/10.1038/ejhg.2015.102
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author Ruth, Katherine S
Campbell, Purdey J
Chew, Shelby
Lim, Ee Mun
Hadlow, Narelle
Stuckey, Bronwyn GA
Brown, Suzanne J
Feenstra, Bjarke
Joseph, John
Surdulescu, Gabriela L
Zheng, Hou Feng
Richards, J Brent
Murray, Anna
Spector, Tim D
Wilson, Scott G
Perry, John RB
author_facet Ruth, Katherine S
Campbell, Purdey J
Chew, Shelby
Lim, Ee Mun
Hadlow, Narelle
Stuckey, Bronwyn GA
Brown, Suzanne J
Feenstra, Bjarke
Joseph, John
Surdulescu, Gabriela L
Zheng, Hou Feng
Richards, J Brent
Murray, Anna
Spector, Tim D
Wilson, Scott G
Perry, John RB
author_sort Ruth, Katherine S
collection PubMed
description 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<5 × 10(−8)), with minor allele frequencies of 1.3–23.9%. Novel signals included variants for progesterone (P=7.68 × 10(−12)), oestradiol (P=1.63 × 10(−8)) and FAI (P=1.50 × 10(−8)). A genetic variant near the FSHB gene was identified which influenced both FSH (P=1.74 × 10(−8)) and LH (P=3.94 × 10(−9)) levels. A separate locus on chromosome 7 was associated with both DHEAS (P=1.82 × 10(−14)) and progesterone (P=6.09 × 10(−14)). This study highlights loci that are relevant to reproductive function and suggests overlap in the genetic basis of hormone regulation.
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spelling pubmed-45649462016-01-31 Genome-wide association study with 1000 genomes imputation identifies signals for nine sex hormone-related phenotypes Ruth, Katherine S Campbell, Purdey J Chew, Shelby Lim, Ee Mun Hadlow, Narelle Stuckey, Bronwyn GA Brown, Suzanne J Feenstra, Bjarke Joseph, John Surdulescu, Gabriela L Zheng, Hou Feng Richards, J Brent Murray, Anna Spector, Tim D Wilson, Scott G Perry, John RB Eur J Hum Genet Article 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<5 × 10(−8)), with minor allele frequencies of 1.3–23.9%. Novel signals included variants for progesterone (P=7.68 × 10(−12)), oestradiol (P=1.63 × 10(−8)) and FAI (P=1.50 × 10(−8)). A genetic variant near the FSHB gene was identified which influenced both FSH (P=1.74 × 10(−8)) and LH (P=3.94 × 10(−9)) levels. A separate locus on chromosome 7 was associated with both DHEAS (P=1.82 × 10(−14)) and progesterone (P=6.09 × 10(−14)). This study highlights loci that are relevant to reproductive function and suggests overlap in the genetic basis of hormone regulation. Nature Publishing Group 2016-02 2015-05-27 /pmc/articles/PMC4564946/ /pubmed/26014426 http://dx.doi.org/10.1038/ejhg.2015.102 Text en Copyright © 2016 Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Ruth, Katherine S
Campbell, Purdey J
Chew, Shelby
Lim, Ee Mun
Hadlow, Narelle
Stuckey, Bronwyn GA
Brown, Suzanne J
Feenstra, Bjarke
Joseph, John
Surdulescu, Gabriela L
Zheng, Hou Feng
Richards, J Brent
Murray, Anna
Spector, Tim D
Wilson, Scott G
Perry, John RB
Genome-wide association study with 1000 genomes imputation identifies signals for nine sex hormone-related phenotypes
title Genome-wide association study with 1000 genomes imputation identifies signals for nine sex hormone-related phenotypes
title_full Genome-wide association study with 1000 genomes imputation identifies signals for nine sex hormone-related phenotypes
title_fullStr Genome-wide association study with 1000 genomes imputation identifies signals for nine sex hormone-related phenotypes
title_full_unstemmed Genome-wide association study with 1000 genomes imputation identifies signals for nine sex hormone-related phenotypes
title_short Genome-wide association study with 1000 genomes imputation identifies signals for nine sex hormone-related phenotypes
title_sort genome-wide association study with 1000 genomes imputation identifies signals for nine sex hormone-related phenotypes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564946/
https://www.ncbi.nlm.nih.gov/pubmed/26014426
http://dx.doi.org/10.1038/ejhg.2015.102
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