Evidence map›Paper›PMID 34288964›Full record

ArticlePloS one2021

Recessive/dominant model: Alternative choice in case-control-based genome-wide association studies.

Han-Ming Liu, Jin-Ping Zheng, Dan Yang, Zhao-Fa Liu, Zi Li, Zhen-Zhen Hu, Ze-Nan Li

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

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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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Han-Ming LiuSchool of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.ORCID 0000-0002-0104-8933
Jin-Ping ZhengSchool of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.
Dan YangSchool of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.
Zhao-Fa LiuSchool of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.
Zi LiSchool of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.
Zhen-Zhen HuSchool of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.
Ze-Nan LiSchool of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An additive genetic model is usually employed in case-control-based genome-wide association studies. The model usually encodes "AA", "Aa" and "aa" ("a" represents the minor allele) as three different numbers, implying the contribution of genotype "Aa" to the phenotype is different from "AA" and "aa". From the perspective of biological phenomena, the coding is reasonable since the phenotypes of lives are not "black and white". A case-control based study, however, has only two phenotypes, case and control, which means that the phenotypes are "black and white". It suggests that a recessive/dominant model may be an alternative to the additive model. In order to investigate whether the alternative is feasible, we conducted comparative experiments on several models used in those studies through chi-square test and logistic regression. Our simulation experiments demonstrate that a recessive model is better than the additive model. The area under the curve of the former has increased by 5% compared with the latter, the discrimination of identifying risk single nucleotide polymorphisms has been improved by 61%, and the precision has also reached 1.10 times that of the latter. Furthermore, the real data experiments show that the precision and area under the curve of the former are 16% and 20% higher than the latter respectively, and the area under the curve of dominant model of the former is 13% higher than the latter. The results indicate a recessive/dominant model may be an alternative to the additive model and suggest a new route for case-control-based studies.

Indexed as

Databases, Nucleic AcidGenes, DominantGenes, RecessiveModels, GeneticPolymorphism, Single NucleotideCase-Control StudiesCoronary Artery DiseaseGenome-Wide Association StudyHumans

Identifiers

PMID34288964
PMCPMC8294554

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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.