Evidence map›Paper›PMID 36540636›Full record

ArticleEvolutionary applications2022

Genomic prediction of carcass traits using different haplotype block partitioning methods in beef cattle.

Hongwei Li, Zezhao Wang, Lei Xu, Qian Li, Han Gao, Haoran Ma, Wentao Cai, Yan Chen, Xue Gao, Lupei Zhang and 4 more

Abstract read
In one paragraph

Article in Evolutionary applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. PotatoMASH is a cost-effective marker system for genomic prediction in potato based on short-read haplotypes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  3. Genomic prediction with haplotype blocks in wheat.Frontiers in plant science · 2023
    Article
  4. Article
  5. 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

14 authors.

Hongwei LiLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Zezhao WangLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Lei XuLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Qian LiLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Han GaoLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Haoran MaLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Wentao CaiLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Yan ChenLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Xue GaoLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Lupei ZhangLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Huijiang GaoLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Bo ZhuLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Lingyang XuLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.
Junya LiLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences Chinese Academy of Agricultural Sciences Beijing China.ORCID https://orcid.org/0000-0001-8051-050X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic prediction (GP) based on haplotype alleles can capture quantitative trait loci (QTL) effects and increase predictive ability because the haplotypes are expected to be in linkage disequilibrium (LD) with QTL. In this study, we constructed haploblocks using LD-based and the fixed number of single nucleotide polymorphisms (fixed-SNP) methods with Illumina BovineHD chip in beef cattle. To evaluate the performance of different haplotype block partitioning methods, we constructed haploblocks based on LD thresholds (from

Indexed as

Bayesian modelsbeef cattleGBLUPhaplotypelinkage disequilibrium

Identifiers

PMID36540636
PMCPMC9753827

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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.