Evidence map›Paper›PMID 36848195›Full record

ArticleG3 (Bethesda, Md.)2023

Genome-wide association and genomic prediction for a reproductive index summarizing fertility outcomes in U.S. Holsteins.

Christopher M Seabury, Johanna L Smith, Miranda L Wilson, Eric Bhattarai, Jose E P Santos, Ricardo C Chebel, Klibs N Galvão, Gustavo M Schuenemann, Rodrigo C Bicalho, Rob O Gilbert and 4 more

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

14 authors at 8 institutions in 2 countries.

Christopher M SeaburyDepartment of Veterinary Pathobiology, College of Veterinary Medicine, Texas A&M University, College Station, TX 77843, USA.
Johanna L SmithDepartment of Veterinary Pathobiology, College of Veterinary Medicine, Texas A&M University, College Station, TX 77843, USA.
Miranda L WilsonDepartment of Veterinary Pathobiology, College of Veterinary Medicine, Texas A&M University, College Station, TX 77843, USA.
Eric BhattaraiDepartment of Veterinary Pathobiology, College of Veterinary Medicine, Texas A&M University, College Station, TX 77843, USA.
Jose E P SantosDepartment of Animal Sciences, University of Florida, Gainesville, FL 32611, USA.
Ricardo C ChebelDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL 32611, USA.
Klibs N GalvãoDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL 32611, USA.
Gustavo M SchuenemannDepartment of Veterinary Preventative Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210, USA.
Rodrigo C BicalhoDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14850, USA.
Rob O GilbertDepartment of Clinical Sciences, School of Veterinary Medicine, Ross University, St. Kitts, West Indies, KN.
Sandra L Rodriguez-ZasDepartment of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL 61801, USA.ORCID 0000-0003-1122-4758
Guilherme RosaDepartment of Animal Sciences, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0001-9172-6461
William W ThatcherDepartment of Animal Sciences, University of Florida, Gainesville, FL 32611, USA.
Pablo J PinedoDepartment of Animal Sciences, Colorado State University, Fort Collins, CO 80521, USA.
Texas A&M University · USUniversity of Florida · USColorado State University · USCornell University · USRoss University School of Veterinary Medicine · KNThe Ohio State University · USUniversity of Illinois Urbana-Champaign · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subfertility represents one major challenge to enhancing dairy production and efficiency. Herein, we use a reproductive index (RI) expressing the predicted probability of pregnancy following artificial insemination (AI) with Illumina 778K genotypes to perform single and multi-locus genome-wide association analyses (GWAA) on 2,448 geographically diverse U.S. Holstein cows and produce genomic heritability estimates. Moreover, we use genomic best linear unbiased prediction (GBLUP) to investigate the potential utility of the RI by performing genomic predictions with cross validation. Notably, genomic heritability estimates for the U.S. Holstein RI were moderate (h2 = 0.1654 ± 0.0317-0.2550 ± 0.0348), while single and multi-locus GWAA revealed overlapping quantitative trait loci (QTL) on BTA6 and BTA29, including the known QTL for the daughter pregnancy rate (DPR) and cow conception rate (CCR). Multi-locus GWAA revealed seven additional QTL, including one on BTA7 (60 Mb) which is adjacent to a known heifer conception rate (HCR) QTL (59 Mb). Positional candidate genes for the detected QTL included male and female fertility loci (i.e. spermatogenesis and oogenesis), meiotic and mitotic regulators, and genes associated with immune response, milk yield, enhanced pregnancy rates, and the reproductive longevity pathway. Based on the proportion of the phenotypic variance explained (PVE), all detected QTL (n = 13; P ≤ 5e - 05) were estimated to have moderate (1.0% < PVE ≤ 2.0%) or small effects (PVE ≤ 1.0%) on the predicted probability of pregnancy. Genomic prediction using GBLUP with cross validation (k = 3) produced mean predictive abilities (0.1692-0.2301) and mean genomic prediction accuracies (0.4119-0.4557) that were similar to bovine health and production traits previously investigated.

Indexed as

FertilityGenome-Wide Association StudyAnimalsCattleFemaleGenomicsMalePolymorphism, Single NucleotidePregnancyQuantitative Trait LociReproductionfertilityGWAAHolsteinQTL

Identifiers

PMID36848195
PMCPMC10468724
OpenAlexW4322495284

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.