Evidence map›Paper›PMID 28479868›Full record

ArticleCurrent genomics2016

GMDR: Versatile Software for Detecting Gene-Gene and Gene-Environ- ment Interactions Underlying Complex Traits.

Hai-Ming Xu, Li-Feng Xu, Ting-Ting Hou, Lin-Feng Luo, Guo-Bo Chen, Xi-Wei Sun, Xiang-Yang Lou

Abstract read
In one paragraph

Article in Current genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

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

  1. Pooled it
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  9. Biomedicines · 2023
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  10. Relationship betweenInternational journal of environmental research and public health · 2023
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  13. Interaction ofJournal of clinical and translational hepatology · 2022
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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.

Hai-Ming XuInstitute of Bioinformatics and Institute of Crop Science, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, P.R. China.
Li-Feng XuInstitute of Computer Application Technology, College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, P.R. China.
Ting-Ting HouInstitute of Bioinformatics and Institute of Crop Science, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, P.R. China.
Lin-Feng LuoInstitute of Computer Application Technology, College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, P.R. China.
Guo-Bo ChenQueensland Brain Institute, University of Queensland, St Lucia, Queensland, Australia.
Xi-Wei SunSir Run Run Shaw Hospital and Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, P.R. China.
Xiang-Yang LouDepartment of Biostatistics and Bioinformatics, Tulane University, New Orleans, Louisiana, USA.

Funding

Detection of multifactor interactions with application to nicotine dependenceR01DA025095 · NIDA · UNIVERSITY OF VIRGINIA · PI LOU, XIANG-YANG · 2008 to 2013
$1.1M
NIDA NIH HHS R01 DA025095
6 · The paper itself

Abstract

Identification of multifactor gene-gene (G×G) and gene-environment (G×E) interactions underlying complex traits poses one of the great challenges to today's genetic study. Development of the generalized multifactor dimensionality reduction (GMDR) method provides a practicable solution to problems in detection of interactions. To exploit the opportunities brought by the availability of diverse data, it is in high demand to develop the corresponding GMDR software that can handle a breadth of phenotypes, such as continuous, count, dichotomous, polytomous nominal, ordinal, survival and multivariate, and various kinds of study designs, such as unrelated case-control, family-based and pooled unrelated and family samples, and also allows adjustment for covariates. We developed a versatile GMDR package to implement this serial of GMDR analyses for various scenarios (

Indexed as

Complex traitsComputer softwareFamily sampleGene-environment interactionsGene-gene interactionsGeneralized multifactor dimensionality reductionUnrelated sample

Identifiers

PMID28479868
PMCPMC5320543

What OpenQuestion holds

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LicenceCC BY-NC
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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.