Evidence map›Paper›PMID 23032486›Full record

ArticleGenetic epidemiology2013

Genetic association test for multiple traits at gene level.

Xiaobo Guo, Zhifa Liu, Xueqin Wang, Heping Zhang

Abstract read
In one paragraph

Article in Genetic epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
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  9. Quality Control for the Illumina HumanExome BeadChip.Current protocols in human genetics · 2016
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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.

Xiaobo GuoDepartment of Biostatistics, Yale University School of Medicine, New Haven, Connecticut 06520, USA.
Zhifa Liu
Xueqin Wang
Heping Zhang

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
The Collaborative Genetic Study of Nicotine DependenceP01CA089392 · NCI · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2001 to 2012
$17.3M
Genome Wide Association Coordinating CenterU01HG004446 · NHGRI · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2007 to 2011
$6.6M
Statistical Methods in Genetic Studies of Substance UseR01DA016750 · NIDA · YALE UNIVERSITY · PI ZHANG, HEPING · 2004 to 2016
$3.3M
FAMILY STUDY OF COCAINE DEPENDENCER01DA013423 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA JEAN · 2000 to 2004
$2.2M
Study of Addiction: Genetics and EnvironmentU01HG004422 · NHGRI · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2007 to 2010
$1.2M
NCI NIH HHS P01 CA089392NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004422NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01HG004438NHGRI NIH HHS U01 HG004446NIAAA NIH HHS U10 AA008401NIDA NIH HHS R01 DA013423NIDA NIH HHS R01 DA016750NIDA NIH HHS R01 DA016750-09
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) at the gene level are commonly used to understand biological mechanisms underlying complex diseases. In general, one response or outcome is used to present a disease of interest in such studies. In this study, we consider a multiple traits association test from the gene level. We propose and examine a class of test statistics that summarizes the association information between single nucleotide polymorphisms (SNPs) and each of the traits. Our simulation studies demonstrate the advantage of gene-based multiple traits association tests when multiple traits share common genes. Using our proposed tests, we reanalyze the dataset from the Study of Addiction: Genetics and Environment (SAGE). Our result validates previous findings while presenting stronger evidence for consideration of multiple traits.

Indexed as

GenesGenome-Wide Association StudyModels, GeneticPolymorphism, Single NucleotideAlcoholismComputer SimulationFemaleHomeodomain ProteinsHumansLinkage DisequilibriumMaleModels, StatisticalOdds RatioQuantitative Trait LociSubstance-Related DisordersTranscription FactorsHomeodomain ProteinsPKNOX2 protein, humanTranscription Factors

Identifiers

PMID23032486
PMCPMC3524409

What OpenQuestion holds

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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.