Evidence map›Paper›PMID 38589805›Full record

ArticleGenetics, selection, evolution : GSE2024

Mendelian randomization analysis of 34,497 German Holstein cows to infer causal associations between milk production and health traits.

Helen Schneider, Valentin Haas, Ana-Marija Krizanac, Clemens Falker-Gieske, Johannes Heise, Jens Tetens, Georg Thaller, Jörn Bennewitz

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Signature of Selection Analysis Reveals Candidate Genes Related to Climate Adaptation and Production Traits in Lao Native Goats.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
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

8 authors.

Helen SchneiderInstitute of Animal Science, University of Hohenheim, 70599, Stuttgart, Germany. helen.schneider@uni-hohenheim.de.ORCID http://orcid.org/0000-0001-6272-5937
Valentin HaasInstitute of Animal Science, University of Hohenheim, 70599, Stuttgart, Germany.ORCID http://orcid.org/0000-0002-9651-1205
Ana-Marija KrizanacDepartment of Animal Sciences, University of Göttingen, 37077, Göttingen, Germany.ORCID http://orcid.org/0000-0002-7446-8031
Clemens Falker-GieskeDepartment of Animal Sciences, University of Göttingen, 37077, Göttingen, Germany.ORCID http://orcid.org/0000-0001-9160-1909
Johannes HeiseVereinigte Informationssysteme Tierhaltung w.V. (VIT), 27283, Verden, Germany.ORCID http://orcid.org/0000-0002-7605-7148
Jens TetensDepartment of Animal Sciences, University of Göttingen, 37077, Göttingen, Germany.ORCID http://orcid.org/0000-0001-5352-464X
Georg ThallerInstitute of Animal Breeding and Husbandry, Christian-Albrechts University of Kiel, 24098, Kiel, Germany.ORCID http://orcid.org/0000-0002-6782-2039
Jörn BennewitzInstitute of Animal Science, University of Hohenheim, 70599, Stuttgart, Germany.ORCID http://orcid.org/0000-0001-6450-1160

Funding

Deutsche Forschungsgemeinschaft BE3703/15-1Deutsche Forschungsgemeinschaft TE622/6-1
6 · The paper itself

Abstract

backgroundClaw diseases and mastitis represent the most important health issues in dairy cattle with a frequently mentioned connection to milk production. Although many studies have aimed at investigating this connection in more detail by estimating genetic correlations, they do not provide information about causality. An alternative is to carry out Mendelian randomization (MR) studies using genetic variants to investigate the effect of an exposure on an outcome trait mediated by genetic variants. No study has yet investigated the causal association of milk yield (MY) with health traits in dairy cattle. Hence, we performed a MR analysis of MY and seven health traits using imputed whole-genome sequence data from 34,497 German Holstein cows. We applied a method that uses summary statistics and removes horizontal pleiotropic variants (having an effect on both traits), which improves the power and unbiasedness of MR studies. In addition, genetic correlations between MY and each health trait were estimated to compare them with the estimates of causal effects that we expected.

resultsAll genetic correlations between MY and each health trait were negative, ranging from - 0.303 (mastitis) to - 0.019 (digital dermatitis), which indicates a reduced health status as MY increases. The only non-significant correlation was between MY and digital dermatitis. In addition, each causal association was negative, ranging from - 0.131 (mastitis) to - 0.034 (laminitis), but the number of significant associations was reduced to five nominal and two experiment-wide significant results. The latter were between MY and mastitis and between MY and digital phlegmon. Horizontal pleiotropic variants were identified for mastitis, digital dermatitis and digital phlegmon. They were located within or nearby variants that were previously reported to have a horizontal pleiotropic effect, e.g., on milk production and somatic cell count.

conclusionsOur results confirm the known negative genetic connection between health traits and MY in dairy cattle. In addition, they provide new information about causality, which for example points to the negative energy balance mediating the connection between these traits. This knowledge helps to better understand whether the negative genetic correlation is based on pleiotropy, linkage between causal variants for both trait complexes, or indeed on a causal association.

Indexed as

Digital DermatitisMastitisAnimalsCattleCellulitisFemaleLactationMendelian Randomization AnalysisMilk

Identifiers

PMID38589805
PMCPMC11000328

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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.