Evidence map›Paper›PMID 29932068›Full record

ArticleJournal of genetics2018

A multiple regression method for genomewide association studies using only linkage information.

Bujun Mei, Zhihua Wang

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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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Bujun MeiAgriculture Department, Hetao College, Bayannur 015000, People's Republic of China. meibujun@163.com.
Zhihua Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomewide association studies (GWASs) typically require a base of linkage disequilibrium (LD) to capture quantitative trait locus (QTL) signals. In this study, we tested whether identifying QTLs in the framework of GWAS can be based only on linkage information. Our study sought to validate a method to replace LD with linkage in association studies, and we investigated the statistical power of different heritabilities and the number of QTLs using simulation data. We found that it is entirely feasible to exploit the multiple regression method for GWASs using only linkage information. Similar to the typical genomewide association tests using LD information, our new approach performed validly when themultiple regression based on linkage method was employed. However, the performance improved slightly when the linkage was used alone, which was much closer to the traditional GWAS model using single marker regression. Meanwhile, the statistical power of the new method decreased with increasing number of QTLs, and its power was sensitive to heritability. In summary, these results suggest that this method can identify QTLs, although the power is relatively weak. The cause of this phenomenon remains unknown.

Indexed as

Linkage DisequilibriumRegression AnalysisAlgorithmsAnimalsChromosome MappingGenome-Wide Association StudyHumansModels, GeneticQuantitative Trait Loci

Identifiers

PMID29932068

What Socratic holds

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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.