Evidence map›Paper›PMID 34039266›Full record

ArticleGenetics, selection, evolution : GSE2021

Tests of association based on genomic windows can lead to spurious associations when using genotype panels with heterogeneous SNP densities.

Jinghui Li, Zigui Wang, Rohan Fernando, Hao Cheng

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

4 authors.

Jinghui LiDepartment of Animal Science, University of California, Davis, USA.
Zigui WangDepartment of Animal Science, University of California, Davis, USA.
Rohan FernandoDepartment of Animal Science, Iowa State Univeristy, Ames, USA.
Hao ChengDepartment of Animal Science, University of California, Davis, USA. qtlcheng@ucdavis.edu.ORCID http://orcid.org/0000-0001-5146-7231

Funding

National Institute of Food and Agriculture 2018-67015-27957National Institute of Food and Agriculture 2021-67015-33412
6 · The paper itself

Abstract

Dense single nucleotide polymorphism (SNP) panels are widely used for genome-wide association studies (GWAS). In these panels, SNPs within a genomic segment tend to be highly correlated. Thus, association studies based on testing the significance of single SNPs are not very effective, and genomic-window based tests have been proposed to address this problem. However, when the SNP density on the genotype panel is not homogeneous, genomic-window based tests can lead to the detection of spurious associations by declaring effects of genomic windows that explain a large proportion of genetic variance as significant. We propose two methods to solve this problem.

Indexed as

GenotypeModels, GeneticPolymorphism, Single NucleotideAnimalsGenome-Wide Association StudyLivestockQuantitative Trait Loci

Identifiers

PMID34039266
PMCPMC8157676

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.