Evidence map›Paper›PMID 33784962›Full record

ArticleBMC genomics2021

Autosomal recessive loci contribute significantly to quantitative variation of male fertility in a dairy cattle population.

Maya Hiltpold, Naveen Kumar Kadri, Fredi Janett, Ulrich Witschi, Fritz Schmitz-Hsu, Hubert Pausch

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 32 citations in OpenAlex.

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  6. QTLs and Candidate Genes Associated with Semen Traits in Merino Sheep.Animals : an open access journal from MDPI · 2023
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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

6 authors at 2 institutions in 1 country.

Maya HiltpoldAnimal Genomics, Institute of Agricultural Sciences, ETH Zürich, Eschikon 27, 8315, Lindau, Switzerland. maya.hiltpold@usys.ethz.ch.
Naveen Kumar KadriAnimal Genomics, Institute of Agricultural Sciences, ETH Zürich, Eschikon 27, 8315, Lindau, Switzerland.
Fredi JanettClinic of Reproductive Medicine, Vetsuisse Faculty, University of Zurich, 8057, Zurich, Switzerland.
Ulrich WitschiSwissgenetics, 3052, Zollikofen, Switzerland.
Fritz Schmitz-HsuSwissgenetics, 3052, Zollikofen, Switzerland.
Hubert PauschAnimal Genomics, Institute of Agricultural Sciences, ETH Zürich, Eschikon 27, 8315, Lindau, Switzerland.
ETH Zurich · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCattle are ideally suited to investigate the genetics of male fertility. Semen from individual bulls is used for thousands of artificial inseminations for which the fertilization success is monitored. Results from the breeding soundness examination and repeated observations of semen quality complement the fertility evaluation for each bull.

resultsIn a cohort of 3881 Brown Swiss bulls that had genotypes at 683,609 SNPs, we reveal four novel recessive QTL for male fertility on BTA1, 18, 25, and 26 using haplotype-based association testing. A QTL for bull fertility on BTA1 is also associated with sperm head shape anomalies. All other QTL are not associated with any of the semen quality traits investigated. We perform complementary fine-mapping approaches using publicly available transcriptomes as well as whole-genome sequencing data of 125 Brown Swiss bulls to reveal candidate causal variants. We show that missense or nonsense variants in SPATA16, VWA3A, ENSBTAG00000006717 and ENSBTAG00000019919 are in linkage disequilibrium with the QTL. Using whole-genome sequence data, we detect strong association (P = 4.83 × 10

conclusionOur findings in a dairy cattle population provide evidence that recessive variants may contribute substantially to quantitative variation in male fertility in mammals. Detecting causal variants that underpin variation in male fertility remains difficult because the most strongly associated variants reside in poorly annotated non-coding regions.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociAnimalsCattleFertilityHumansInsemination, ArtificialMalePolymorphism, Single NucleotideSemen AnalysisAssociation studyBull fertilityHaplotypeQuantitative trait lociSemen quality

Identifiers

PMID33784962
PMCPMC8010996
OpenAlexW3143751331

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LicenceCC BY
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Registered trials

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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.