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Genome-wide association study identifies common and low-frequency variants at the AMH gene locus that strongly predict serum AMH levels in males.

Human molecular genetics | 2016

Anti-Müllerian hormone (AMH) is an essential messenger of sexual differentiation in the foetus and is an emerging biomarker of postnatal reproductive function in females. Due to a paucity of adequately sized studies, the genetic determinants of circulating AMH levels are poorly characterized. In samples from 2815 adolescents aged 15 from the ALSPAC study, we performed the first genome-wide association study of serum AMH levels across a set of ∼9 m '1000 Genomes Reference Panel' imputed genetic variants. Genetic variants at the AMH protein-coding gene showed considerable allelic heterogeneity, with both common variants [rs4807216 (P(Male) = 2 × 10(-49), Beta: ∼0.9 SDs per allele), rs8112524 (P(Male) = 3 × 10(-8), Beta: ∼0.25)] and low-frequency variants [rs2385821 (P(Male) = 6 × 10(-31), Beta: ∼1.2, frequency 3.6%)] independently associated with apparently large effect sizes in males, but not females. For all three SNPs, we highlight mechanistic links to AMH gene function and demonstrate highly significant sex interactions (P(Het) 0.0003-6.3 × 10(-12)), culminating in contrasting estimates of trait variance explained (24.5% in males versus 0.8% in females). Using these SNPs as a genetic proxy for AMH levels, we found no evidence in additional datasets to support a biological role for AMH in complex traits and diseases in men.

Pubmed ID: 26604150 RIS Download

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Associated grants

  • Agency: Wellcome Trust, United Kingdom
    Id: 102215
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_12015/2
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_12013/5
  • Agency: Medical Research Council, United Kingdom
    Id: MC_U106179472
  • Agency: Medical Research Council, United Kingdom
    Id: G9815508
  • Agency: Wellcome Trust, United Kingdom
    Id: 102215/2/13/2
  • Agency: NIDDK NIH HHS, United States
    Id: R01 DK077659
  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_15018
  • Agency: Wellcome Trust, United Kingdom
    Id: WT091310

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This is a list of tools and resources that we have found mentioned in this publication.


ALSPAC (tool)

RRID:SCR_007260

A long-term health research project which follows pregnant women and their offspring in a continuous health and developmental study. More than 14,000 mothers enrolled during pregnancy in 1991 and 1992, and the health and development of their children has been followed in great detail. The ALSPAC families have provided a vast amount of genetic and environmental information over the years which can be made available to researchers globally.

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PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

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SNPTEST (tool)

RRID:SCR_009406

Software program for the analysis of single SNP association in genome-wide studies. The tests implemented can cater for binary (case-control) and quantitative phenotypes, can condition upon an arbitrary set of covariates and properly account for the uncertainty in genotypes. The program is designed to work seamlessly with the output of both the genotype calling program CHIAMO, the genotype imputation program IMPUTE and the program GTOOL. This program was used in the analysis of the 7 genome-wide association studies carried out by the Wellcome Trust Case-Control Consortium (WTCCC). (entry from Genetic Analysis Software)

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IMPUTE2 (tool)

RRID:SCR_013055

A computer program for phasing observed genotypes and imputing missing genotypes.

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