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Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals.

Authors :
Bouwman AC
Daetwyler HD
Chamberlain AJ
Ponce CH
Sargolzaei M
Schenkel FS
Sahana G
Govignon-Gion A
Boitard S
Dolezal M
Pausch H
Brøndum RF
Bowman PJ
Thomsen B
Guldbrandtsen B
Lund MS
Servin B
Garrick DJ
Reecy J
Vilkki J
Bagnato A
Wang M
Hoff JL
Schnabel RD
Taylor JF
Vinkhuyzen AAE
Panitz F
Bendixen C
Holm LE
Gredler B
Hozé C
Boussaha M
Sanchez MP
Rocha D
Capitan A
Tribout T
Barbat A
Croiseau P
Drögemüller C
Jagannathan V
Vander Jagt C
Crowley JJ
Bieber A
Purfield DC
Berry DP
Emmerling R
Götz KU
Frischknecht M
Russ I
Sölkner J
Van Tassell CP
Fries R
Stothard P
Veerkamp RF
Boichard D
Goddard ME
Hayes BJ
Source :
Nature genetics [Nat Genet] 2018 Mar; Vol. 50 (3), pp. 362-367. Date of Electronic Publication: 2018 Feb 19.
Publication Year :
2018

Abstract

Stature is affected by many polymorphisms of small effect in humans <superscript>1</superscript> . In contrast, variation in dogs, even within breeds, has been suggested to be largely due to variants in a small number of genes <superscript>2,3</superscript> . Here we use data from cattle to compare the genetic architecture of stature to those in humans and dogs. We conducted a meta-analysis for stature using 58,265 cattle from 17 populations with 25.4 million imputed whole-genome sequence variants. Results showed that the genetic architecture of stature in cattle is similar to that in humans, as the lead variants in 163 significantly associated genomic regions (P < 5 × 10 <superscript>-8</superscript> ) explained at most 13.8% of the phenotypic variance. Most of these variants were noncoding, including variants that were also expression quantitative trait loci (eQTLs) and in ChIP-seq peaks. There was significant overlap in loci for stature with humans and dogs, suggesting that a set of common genes regulates body size in mammals.

Details

Language :
English
ISSN :
1546-1718
Volume :
50
Issue :
3
Database :
MEDLINE
Journal :
Nature genetics
Publication Type :
Report
Accession number :
29459679
Full Text :
https://doi.org/10.1038/s41588-018-0056-5