Evidence map›Paper›PMID 31240250›Full record

ArticleCommunications biology2019

Functional annotation and Bayesian fine-mapping reveals candidate genes for important agronomic traits in Holstein bulls.

Jicai Jiang, John B Cole, Ellen Freebern, Yang Da, Paul M VanRaden, Li Ma

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
20.4field-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, 2 syntheses or guidelines pooled it, 178 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  6. Article
  7. Pan-tissue transcriptomic profiling of dairy cattle.Journal of animal science and biotechnology · 2026
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  12. Meta-GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

6 authors at 3 institutions in 1 country.

Jicai Jiang1Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742 USA.
John B Cole2Animal Genomics and Improvement Laboratory, USDA, Building 5, Beltsville, MD 20705 USA.ORCID 0000-0003-1242-4401
Ellen Freebern1Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742 USA.
Yang Da3Department of Animal Science, University of Minnesota, St Paul, MN 55108 USA.
Paul M VanRaden2Animal Genomics and Improvement Laboratory, USDA, Building 5, Beltsville, MD 20705 USA.
Li Ma1Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742 USA.ORCID 0000-0003-1038-1081
University of Maryland, College Park · USAgricultural Research Service · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A hundred years of data collection in dairy cattle can facilitate powerful studies of complex traits. Cattle GWAS have identified many associated genomic regions. With increasing numbers of cattle sequenced, fine-mapping of causal variants is becoming possible. Here we imputed selected sequence variants to 27,214 Holstein bulls that have highly reliable phenotypes for 35 production, reproduction, and body conformation traits. We performed single-marker scans for the 35 traits and multi-trait tests of the three trait groups, revealing 282 candidate QTL for fine-mapping. We developed a Bayesian Fine-MAPping approach (BFMAP) to integrate fine-mapping with functional enrichment analysis. Our fine-mapping identified 69 promising candidate genes, including

Indexed as

Bayes TheoremChromosome MappingQuantitative Trait LociAgricultureAnimalsCattleGenome-Wide Association StudyReproductionAgricultureComputational biology and bioinformaticsGenetics

Identifiers

PMID31240250
PMCPMC6582147
OpenAlexW2952553874

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.