Evidence map›Paper›PMID 35073835›Full record

ArticleGenetics, selection, evolution : GSE2022

Non-additive QTL mapping of lactation traits in 124,000 cattle reveals novel recessive loci.

Edwardo G M Reynolds, Thomas Lopdell, Yu Wang, Kathryn M Tiplady, Chad S Harland, Thomas J J Johnson, Catherine Neeley, Katie Carnie, Richard G Sherlock, Christine Couldrey and 5 more

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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

15 authors at 2 institutions in 1 country.

Edwardo G M ReynoldsMassey University, Palmerston North, New Zealand. edwardo.reynolds.1@uni.massey.ac.nz.ORCID http://orcid.org/0000-0002-5148-1479
Thomas LopdellLivestock Improvement Corporation, Hamilton, New Zealand.
Yu WangLivestock Improvement Corporation, Hamilton, New Zealand.
Kathryn M TipladyMassey University, Palmerston North, New Zealand.
Chad S HarlandLivestock Improvement Corporation, Hamilton, New Zealand.
Thomas J J JohnsonLivestock Improvement Corporation, Hamilton, New Zealand.
Catherine NeeleyLivestock Improvement Corporation, Hamilton, New Zealand.
Katie CarnieLivestock Improvement Corporation, Hamilton, New Zealand.
Richard G SherlockLivestock Improvement Corporation, Hamilton, New Zealand.
Christine CouldreyLivestock Improvement Corporation, Hamilton, New Zealand.
Stephen R DavisLivestock Improvement Corporation, Hamilton, New Zealand.
Bevin L HarrisLivestock Improvement Corporation, Hamilton, New Zealand.
Richard J SpelmanLivestock Improvement Corporation, Hamilton, New Zealand.
Dorian J GarrickMassey University, Palmerston North, New Zealand.
Mathew D LittlejohnMassey University, Palmerston North, New Zealand.
Livestock Improvement Corporation · NZMassey University · NZ

Funding

Ministry of Business, Innovation and Employment LICX1802
6 · The paper itself

Abstract

backgroundDeleterious recessive conditions have been primarily studied in the context of Mendelian diseases. Recently, several deleterious recessive mutations with large effects were discovered via non-additive genome-wide association studies (GWAS) of quantitative growth and developmental traits in cattle, which showed that quantitative traits can be used as proxies of genetic disorders when such traits are indicative of whole-animal health status. We reasoned that lactation traits in cattle might also reflect genetic disorders, given the increased energy demands of lactation and the substantial stresses imposed on the animal. In this study, we screened more than 124,000 cows for recessive effects based on lactation traits.

resultsWe discovered five novel quantitative trait loci (QTL) that are associated with large recessive impacts on three milk yield traits, with these loci presenting missense variants in the DOCK8, IL4R, KIAA0556, and SLC25A4 genes or premature stop variants in the ITGAL, LRCH4, and RBM34 genes, as candidate causal mutations. For two milk composition traits, we identified several previously reported additive QTL that display small dominance effects. By contrasting results from milk yield and milk composition phenotypes, we note differing genetic architectures. Compared to milk composition phenotypes, milk yield phenotypes had lower heritabilities and were associated with fewer additive QTL but had a higher non-additive genetic variance and were associated with a higher proportion of loci exhibiting dominance.

conclusionsWe identified large-effect recessive QTL which are segregating at surprisingly high frequencies in cattle. We speculate that the differences in genetic architecture between milk yield and milk composition phenotypes derive from underlying dissimilarities in the cellular and molecular representation of these traits, with yield phenotypes acting as a better proxy of underlying biological disorders through presentation of a larger number of major recessive impacts.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociAnimalsCattleFemaleLactationMilkPhenotype

Identifiers

PMID35073835
PMCPMC8785530
OpenAlexW4207016488

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.