Evidence map›Paper›PMID 41841376›Full record

ArticleAnimal genetics2026

Ascertainment Bias in Cattle SNP Arrays and Implications for Multibreed Genomic Predictions.

Christie L Warburton, Ben J Hayes

Abstract read
In one paragraph

Article in Animal genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Christie L WarburtonCentre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, Queensland, Australia.ORCID https://orcid.org/0000-0003-3687-1580
Ben J HayesCentre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ascertainment bias of SNP for genotyping arrays, where markers are discovered largely in one breed then used to genotype other breeds, can affect scaling and dispersion of genomic breeding values in multibreed genomic evaluations. Detecting and addressing this bias is crucial for robust genetic analyses. Using whole genome sequence data, we demonstrate the extent of ascertainment bias in the most commonly used bovine high density SNP marker array. Results show that arrays such as the Bovine high density (HD) array severely underrepresents diversity in Bos taurus indicus relative to Bos taurus taurus (particularly Herefords). This will have consequences for dispersion of genomic breeding values and how well these genomic breeding values capture genetic merit within and across breeds. Genomic evaluations that include both subspecies should account for ascertainment bias.

Indexed as

BreedingPolymorphism, Single NucleotideAnimalsCattleGenomicsGenotypeOligonucleotide Array Sequence Analysisascertainment biasBos indicusBos taurusdenomic relationship matrixgenetic diversitymultibreed

Identifiers

PMID41841376
PMCPMC12993799

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.