Evidence map›Paper›PMID 41594482›Full record

ArticleAnimals : an open access journal from MDPI2026

Identifying the Genetic Basis of Fetal Loss in Cows and Heifers Through a Genome-Wide Association Analysis.

Ousseini Issaka Salia, Emaly M Suarez, Brenda M Murdoch, Victoria C Kelson, Allison L Herrick, Jennifer N Kiser, Holly L Neibergs

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Ousseini Issaka SaliaDepartment of Animal Science, Washington State University, Pullman, WA 99164, USA.
Emaly M SuarezDepartment of Animal Science, Washington State University, Pullman, WA 99164, USA.ORCID 0009-0001-3389-3234
Brenda M MurdochDepartment of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID 83844, USA.ORCID 0000-0001-8675-3473
Victoria C KelsonDepartment of Animal Science, Washington State University, Pullman, WA 99164, USA.ORCID 0009-0003-3628-8157
Allison L HerrickDepartment of Animal Science, Washington State University, Pullman, WA 99164, USA.
Jennifer N KiserWashington Animal Disease Diagnostics Laboratory, Pullman, WA 99164, USA.
Holly L NeibergsDepartment of Animal Science, Washington State University, Pullman, WA 99164, USA.ORCID 0000-0001-8121-3072

Funding

US Department of Agriculture National Institute of Food and Agriculture 2023-67015-39524
6 · The paper itself

Abstract

Fetal loss, the spontaneous termination of pregnancy between day 42 and 260 of gestation, is poorly understood. Impacts of fetal loss include loss of production, increased health risk, and economic loss. The aims of this study were to identify loci associated with fetal loss in Holstein heifers and primiparous cows to facilitate the selection of reproductively efficient cattle and identify the genetic causes of fetal loss. A genome-wide association analysis (GWAA) compared 5714 heifers that calved at term (controls) to 416 heifers that experienced fetal loss (cases), and for primiparous cows, 2519 controls were compared to 273 cases. The efficient mixed-model association eXpedited approach in the SNP and Variation Suite (v 9.1) statistical software was used with additive, dominant, and recessive inheritance models for the GWAA. In heifers, 16 loci were associated (FDR < 0.05) with fetal loss in the recessive model. In primiparous cows, there were 44 loci associated (FDR < 0.05) with fetal loss in the recessive model. No loci associated with fetal loss were shared between cows and heifers or in the additive and dominant models. These results improve the characterization of genetic factors contributing to fetal loss in Holstein heifers and primiparous cows and provide targets for genomic selection.

Indexed as

dairyfetal lossgenome-wide association analysisheiferslociprimiparous cows

Identifiers

PMID41594482
PMCPMC12837429

What Socratic holds

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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 Socratic graph.