| Literature DB >> 29459679 |
Aniek C Bouwman1, Hans D Daetwyler2,3, Amanda J Chamberlain2, Carla Hurtado Ponce2,4, Mehdi Sargolzaei5,6, Flavio S Schenkel5, Goutam Sahana7, Armelle Govignon-Gion8, Simon Boitard9, Marlies Dolezal10, Hubert Pausch2,11,12, Rasmus F Brøndum7, Phil J Bowman2, Bo Thomsen9, Bernt Guldbrandtsen7, Mogens S Lund7, Bertrand Servin13, Dorian J Garrick14, James Reecy14, Johanna Vilkki15, Alessandro Bagnato16, Min Wang2,3, Jesse L Hoff17, Robert D Schnabel17, Jeremy F Taylor17, Anna A E Vinkhuyzen18,19, Frank Panitz9, Christian Bendixen9, Lars-Erik Holm9, Birgit Gredler20, Chris Hozé8,21, Mekki Boussaha8, Marie-Pierre Sanchez8, Dominique Rocha8, Aurelien Capitan8,21, Thierry Tribout8, Anne Barbat8, Pascal Croiseau8, Cord Drögemüller22, Vidhya Jagannathan22, Christy Vander Jagt2, John J Crowley23, Anna Bieber24, Deirdre C Purfield25, Donagh P Berry25, Reiner Emmerling26, Kay-Uwe Götz26, Mirjam Frischknecht20, Ingolf Russ27, Johann Sölkner28, Curtis P Van Tassell29, Ruedi Fries11, Paul Stothard30, Roel F Veerkamp1, Didier Boichard8, Mike E Goddard2,4, Ben J Hayes31,32.
Abstract
Stature is affected by many polymorphisms of small effect in humans 1 . In contrast, variation in dogs, even within breeds, has been suggested to be largely due to variants in a small number of genes2,3. 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 × 10-8) 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.Entities:
Mesh:
Year: 2018 PMID: 29459679 DOI: 10.1038/s41588-018-0056-5
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 38.330