Evidence map›Paper›PMID 30262700›Full record

ArticleJournal of genetics2018

Genomewide association study for economic traits in the large yellow croaker with different numbers of extreme phenotypes.

Liang Wan, L Dong, Shijun Xiao, Zhaofang Han, Xiaoqing Wang, Z Wang

Abstract read
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In one paragraph

Article in Journal of genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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  5. Fine Mapping and Functional Analysis of the GeneApplied and environmental microbiology · 2022
    Article
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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

6 authors at 2 institutions in 1 country.

Liang WanCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, People's Republic of China. zywang@jmu.edu.cn.
L Dong
Shijun Xiao
Zhaofang Han
Xiaoqing Wang
Z Wang
Jimei University · CNHunan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A traditional genomewide association study (GWAS) detects genotype-phenotype associations by the vast number of genotyped individuals. This method requires large-scale samples and considerable sequencing costs. Extreme phenotypic sampling proposes make GWAS more cost-efficient and are applied more widely. With extreme phenotypic sampling, we performed a GWAS for n-3 highly unsaturated fatty acids (HUFA) and eviscerated weight (EW) traits in the large yellowcroaker population. Of the 32,249 and 29,748 detected SNPs for the two traits, three candidate regions were found in each trait. Three candidate regions associated with HUFA were known near genes on chromosomes 4 and 11, and three candidate regions were on chromosome 6, and 15 for the EW trait. By combing through our GWAS results and the biological functional analysis of the genes, we suggest that the

Indexed as

Genome-Wide Association StudyGenomicsAnimalsBreedingGenotypePerciformesPhenotypePolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID30262700
OpenAlexW2887394759

What OpenQuestion holds

Textmetadata
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.