Evidence map›Paper›PMID 33558518›Full record

ArticleNature communications2021

Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations.

Ruidong Xiang, Iona M MacLeod, Hans D Daetwyler, Gerben de Jong, Erin O'Connor, Chris Schrooten, Amanda J Chamberlain, Michael E Goddard

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
31.3field-weighted citation impact, top 1% 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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 174 citations in OpenAlex.

  1. Pooled it
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  9. Integrating extensive functional annotations and multiomics of cattle enhances climate resilience prediction and mapping.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  14. Genome-wide fine-mapping improves identification of causal variants.medRxiv : the preprint server for health sciences · 2025
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6 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 2 countries.

Ruidong XiangFaculty of Veterinary and Agricultural Science, The University of Melbourne, Parkville, VIC, Australia. ruidong.xiang@unimelb.edu.au.ORCID http://orcid.org/0000-0002-1584-7605
Iona M MacLeodAgriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia.
Hans D DaetwylerAgriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia.ORCID http://orcid.org/0000-0002-3018-3640
Gerben de JongCooperation CRV, Arnhem, The Netherlands.
Erin O'ConnorCRV Ambreed, Hamilton, New Zealand.
Chris SchrootenCRV BV, Arnhem, The Netherlands.
Amanda J ChamberlainAgriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia.ORCID http://orcid.org/0000-0002-9395-1299
Michael E GoddardFaculty of Veterinary and Agricultural Science, The University of Melbourne, Parkville, VIC, Australia.
Agriculture Victoria · AUCRV (Netherlands) · NLThe University of Melbourne · AULa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The difficulty in finding causative mutations has hampered their use in genomic prediction. Here, we present a methodology to fine-map potentially causal variants genome-wide by integrating the functional, evolutionary and pleiotropic information of variants using GWAS, variant clustering and Bayesian mixture models. Our analysis of 17 million sequence variants in 44,000+ Australian dairy cattle for 34 traits suggests, on average, one pleiotropic QTL existing in each 50 kb chromosome-segment. We selected a set of 80k variants representing potentially causal variants within each chromosome segment to develop a bovine XT-50K genotyping array. The custom array contains many pleiotropic variants with biological functions, including splicing QTLs and variants at conserved sites across 100 vertebrate species. This biology-informed custom array outperformed the standard array in predicting genetic value of multiple traits across populations in independent datasets of 90,000+ dairy cattle from the USA, Australia and New Zealand.

Indexed as

Chromosome MappingGenetic PleiotropyInternationalityQuantitative Trait, HeritableAnimalsBayes TheoremCattleChromosomes, MammalianCluster AnalysisFemaleGenetic MarkersGenetic VariationGenomeMaleQuantitative Trait LociReproducibility of ResultsGenetic Markers

Identifiers

PMID33558518
PMCPMC7870883
OpenAlexW3127497932

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.