Sequence-based Association Analysis Reveals an MGST1 eQTL with Pleiotropic Effects on Bovine Milk Composition View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-07

AUTHORS

Mathew D Littlejohn, Kathryn Tiplady, Tania A Fink, Klaus Lehnert, Thomas Lopdell, Thomas Johnson, Christine Couldrey, Mike Keehan, Richard G Sherlock, Chad Harland, Andrew Scott, Russell G Snell, Stephen R Davis, Richard J Spelman

ABSTRACT

The mammary gland is a prolific lipogenic organ, synthesising copious amounts of triglycerides for secretion into milk. The fat content of milk varies widely both between and within species, and recent independent genome-wide association studies have highlighted a milk fat percentage quantitative trait locus (QTL) of large effect on bovine chromosome 5. Although both EPS8 and MGST1 have been proposed to underlie these signals, the causative status of these genes has not been functionally confirmed. To investigate this QTL in detail, we report genome sequence-based imputation and association mapping in a population of 64,244 taurine cattle. This analysis reveals a cluster of 17 non-coding variants spanning MGST1 that are highly associated with milk fat percentage, and a range of other milk composition traits. Further, we exploit a high-depth mammary RNA sequence dataset to conduct expression QTL (eQTL) mapping in 375 lactating cows, revealing a strong MGST1 eQTL underpinning these effects. These data demonstrate the utility of DNA and RNA sequence-based association mapping, and implicate MGST1, a gene with no obvious mechanistic relationship to milk composition regulation, as causally involved in these processes. More... »

PAGES

25376

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/srep25376

    DOI

    http://dx.doi.org/10.1038/srep25376

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1037750357

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27146958


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