Evidence map›Paper›PMID 37445674›Full record

ArticleInternational journal of molecular sciences2023

A Million-Cow Genome-Wide Association Study of Three Fertility Traits in U.S. Holstein Cows.

Zuoxiang Liang, Dzianis Prakapenka, Paul M VanRaden, Jicai Jiang, Li Ma, Yang Da

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
9.7field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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  15. Large-Sample Genomic Data Mining for Quantitative Traits in U.S. Holstein Cows.Journal of data mining in genomics & proteomics · 2024
    Article
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 4 institutions in 1 country.

Zuoxiang LiangDepartment of Animal Science, University of Minnesota, Saint Paul, MN 55108, USA.ORCID 0000-0002-9058-9327
Dzianis PrakapenkaDepartment of Animal Science, University of Minnesota, Saint Paul, MN 55108, USA.ORCID 0000-0002-4592-7120
Paul M VanRadenAnimal Genomics and Improvement Laboratory, Agricultureal Research Service, United States Department of Agriculture, Beltsville, MD 20705, USA.ORCID 0000-0002-9123-7278
Jicai JiangDepartment of Animal Science, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0001-6890-7539
Li MaDepartment of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0003-1038-1081
Yang DaDepartment of Animal Science, University of Minnesota, Saint Paul, MN 55108, USA.
University of Minnesota · USNorth Carolina State University · USUnited States Department of Agriculture · USUniversity of Maryland, College Park · US

Funding

Genomic discovery and prediction for quantitative traits with complex genetic mechanismsR01HG012425 · NHGRI · UNIVERSITY OF MINNESOTA · PI DA, YANG · 2022 to 2024
$729k
NHGRI NIH HHS R01 HG012425NIH HHS R01HG012425
6 · The paper itself

Abstract

A genome-wide association study (GWAS) of the daughter pregnancy rate (DPR), cow conception rate (CCR), and heifer conception rate (HCR) using 1,001,374-1,194,736 first-lactation Holstein cows and 75,140-75,295 SNPs identified 7567, 3798, and 726 additive effects, as well as 22, 27, and 25 dominance effects for DPR, CCR, and HCR, respectively, with log

Indexed as

FertilityGenome-Wide Association StudyAnimalsCattleFemaleFertilizationLactationPregnancyReproductioncow conception ratedaughter pregnancy ratefertilityGWASheifer conception rateHolstein cowSNP

Identifiers

PMID37445674
PMCPMC10341978
OpenAlexW4381804784

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.