Evidence map›Paper›PMID 32292414›Full record

ArticleFrontiers in genetics2020

Genome-Wide Association Study and Fine Mapping Reveals Candidate Genes for Birth Weight of Yorkshire and Landrace Pigs.

Yong Li, Bin Li, Manman Yang, Hu Han, Tao Chen, Qiang Wei, Zepu Miao, Lilin Yin, Ran Wang, Junran Shen and 4 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Yong LiKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, The Cooperative Innovation Center for Sustainable Pig Production, Ministry of Education, Huazhong Agricultural University, Wuhan, China.
Bin LiShenzhen Engineering Laboratory for Genomics - Assisted Animal Breeding, BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China.
Manman YangShenzhen Engineering Laboratory for Genomics - Assisted Animal Breeding, BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China.
Hu HanShenzhen Engineering Laboratory for Genomics - Assisted Animal Breeding, BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China.
Tao ChenShenzhen Engineering Laboratory for Genomics - Assisted Animal Breeding, BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China.
Qiang WeiShenzhen Engineering Laboratory for Genomics - Assisted Animal Breeding, BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China.
Zepu MiaoShenzhen Engineering Laboratory for Genomics - Assisted Animal Breeding, BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China.
Lilin YinKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, The Cooperative Innovation Center for Sustainable Pig Production, Ministry of Education, Huazhong Agricultural University, Wuhan, China.
Ran WangShenzhen Engineering Laboratory for Genomics - Assisted Animal Breeding, BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China.
Junran ShenShenzhen Engineering Laboratory for Genomics - Assisted Animal Breeding, BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China.
Xinyun LiKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, The Cooperative Innovation Center for Sustainable Pig Production, Ministry of Education, Huazhong Agricultural University, Wuhan, China.
Xuewen XuKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, The Cooperative Innovation Center for Sustainable Pig Production, Ministry of Education, Huazhong Agricultural University, Wuhan, China.
Ming FangKey Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, Fisheries College, Jimei University, Xiamen, China.
Shuhong ZhaoKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, The Cooperative Innovation Center for Sustainable Pig Production, Ministry of Education, Huazhong Agricultural University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Birth weight of pigs is an important economic factor in the livestock industry. The identification of the genes and variants that underlie birth weight is of great importance. In this study, we integrated two genotyping methods, single nucleotide polymorphism (SNP) chip analysis and restriction site associated DNA sequencing (RAD-seq) to genotype genome-wide SNPs. In total, 45,175 and 139,634 SNPs were detected with the SNP chip and RAD-seq, respectively. The genome-wide association study (GWAS) of the combined SNP panels identified two significant loci located at chr1: 97,745,041 and chr4: 112,031,589, that explained 6.36% and 4.25% of the phenotypic variance respectively. To reduce interval containing causal variants, we imputed sequence-level SNPs in the GWAS identified regions and fine-mapped the causative variants into two narrower genomic intervals: a ∼100 kb interval containing 71 SNPs and a broader ∼870 kb interval with 432 SNPs. This fine-mapping highlighted four promising candidate genes,

Indexed as

birth weightcandidate genesfine mappingGWASpig

Identifiers

PMID32292414
PMCPMC7118202

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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.