Evidence map›Paper›PMID 27146958›Full record

ArticleScientific reports2016

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

Mathew D Littlejohn, Kathryn Tiplady, Tania A Fink, Klaus Lehnert, Thomas Lopdell, Thomas Johnson, Christine Couldrey, Mike Keehan, Richard G Sherlock, Chad Harland and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 4 pooled it
16.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 4 syntheses or guidelines pooled it, 208 citations in OpenAlex.

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15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Mathew D LittlejohnLivestock Improvement Corporation, Hamilton, New Zealand.
Kathryn TipladyLivestock Improvement Corporation, Hamilton, New Zealand.
Tania A FinkSchool of Biological Sciences, University of Auckland, Auckland, New Zealand.
Klaus LehnertSchool of Biological Sciences, University of Auckland, Auckland, New Zealand.
Thomas LopdellSchool of Biological Sciences, University of Auckland, Auckland, New Zealand.
Thomas JohnsonLivestock Improvement Corporation, Hamilton, New Zealand.
Christine CouldreyLivestock Improvement Corporation, Hamilton, New Zealand.
Mike KeehanLivestock Improvement Corporation, Hamilton, New Zealand.
Richard G SherlockLivestock Improvement Corporation, Hamilton, New Zealand.
Chad HarlandLivestock Improvement Corporation, Hamilton, New Zealand.
Andrew ScottLivestock Improvement Corporation, Hamilton, New Zealand.
Russell G SnellSchool of Biological Sciences, University of Auckland, Auckland, New Zealand.
Stephen R DavisLivestock Improvement Corporation, Hamilton, New Zealand.
Richard J SpelmanLivestock Improvement Corporation, Hamilton, New Zealand.
Livestock Improvement Corporation · NZUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Quantitative Trait LociAnimalsBayes TheoremCattleChromosome MappingChromosomes, MammalianGenome-Wide Association StudyGlutathione TransferaseMilkPolymorphism, Single NucleotideSequence Analysis, DNASequence Analysis, RNAGlutathione Transferasemicrosomal glutathione S-transferase-I

Identifiers

PMID27146958
PMCPMC4857175
OpenAlexW2346964229

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.