Evidence map›Paper›PMID 20718045›Full record

ArticleGenetic epidemiology2010

Quality control and quality assurance in genotypic data for genome-wide association studies.

Cathy C Laurie, Kimberly F Doheny, Daniel B Mirel, Elizabeth W Pugh, Laura J Bierut, Tushar Bhangale, Frederick Boehm, Neil E Caporaso, Marilyn C Cornelis, Howard J Edenberg and 16 more

Abstract read
In one paragraph

Article in Genetic epidemiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 310 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
310citing papers in PubMed, 19 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

310 citing papers in PubMed, 19 syntheses or guidelines pooled it.

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  6. A stop-gain variant inHGG advances · 2023
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250 more citing papers are in PubMed but not listed here.

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

26 authors.

Cathy C LaurieDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Kimberly F Doheny
Daniel B Mirel
Elizabeth W Pugh
Laura J Bierut
Tushar Bhangale
Frederick Boehm
Neil E Caporaso
Marilyn C Cornelis
Howard J Edenberg
Stacy B Gabriel
Emily L Harris
Frank B Hu
Kevin B Jacobs
Peter Kraft
Maria Teresa Landi
Thomas Lumley
Teri A Manolio
Caitlin McHugh
Ian Painter
Justin Paschall
John P Rice
Kenneth M Rice
Xiuwen Zheng
Bruce S Weir
GENEVA Investigators

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI Sarah Hartz · 1989 to 2026
$162.7M
Risk Factors for Onset and Persistence of TMDU01DE017018 · NIDCR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DIATCHENKO, LUDA, FILLINGIM, ROGER B · 2005 to 2016
$35.9M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
A Center for GEI Association StudiesU01HG004424 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2007 to 2010
$21.4M
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
FAMILY STUDY OF COCAINE DEPENDENCER01DA013423 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA JEAN · 2000 to 2004
$2.2M
Case Control Candidate Gene Study of AddictionR01DA019963 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2007 to 2009
$1.2M
Genes and Environment Initiatives in Type 2 DiabetesU01HG004399 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B · 2007 to 2008
$1.2M
Study of Addiction: Genetics and EnvironmentU01HG004422 · NHGRI · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2007 to 2010
$1.2M
Intramural NIH HHSNCI NIH HHS P01 CA089392NCI NIH HHS P01CA089392NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004399NHGRI NIH HHS U01HG004399NHGRI NIH HHS U01 HG004422NHGRI NIH HHS U01HG004422NHGRI NIH HHS U01 HG004424NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01HG004438NHGRI NIH HHS U01 HG004446NHGRI NIH HHS U01HG04424NIAAA NIH HHS U10 AA008401NIAAA NIH HHS U10AA008401NIDA NIH HHS R01 DA013423NIDA NIH HHS R01DA013423NIDA NIH HHS R01 DA019963NIDCR NIH HHS U01 DE017018
6 · The paper itself

Abstract

Genome-wide scans of nucleotide variation in human subjects are providing an increasing number of replicated associations with complex disease traits. Most of the variants detected have small effects and, collectively, they account for a small fraction of the total genetic variance. Very large sample sizes are required to identify and validate findings. In this situation, even small sources of systematic or random error can cause spurious results or obscure real effects. The need for careful attention to data quality has been appreciated for some time in this field, and a number of strategies for quality control and quality assurance (QC/QA) have been developed. Here we extend these methods and describe a system of QC/QA for genotypic data in genome-wide association studies (GWAS). This system includes some new approaches that (1) combine analysis of allelic probe intensities and called genotypes to distinguish gender misidentification from sex chromosome aberrations, (2) detect autosomal chromosome aberrations that may affect genotype calling accuracy, (3) infer DNA sample quality from relatedness and allelic intensities, (4) use duplicate concordance to infer SNP quality, (5) detect genotyping artifacts from dependence of Hardy-Weinberg equilibrium test P-values on allelic frequency, and (6) demonstrate sensitivity of principal components analysis to SNP selection. The methods are illustrated with examples from the "Gene Environment Association Studies" (GENEVA) program. The results suggest several recommendations for QC/QA in the design and execution of GWAS.

Indexed as

GenotypeAneuploidyArtifactsCase-Control StudiesChromosome AberrationsFemaleGene FrequencyGenetics, PopulationGenetic VariationGenome-Wide Association StudyHumansLung NeoplasmsMalePolymorphism, Single NucleotideQuality ControlSex Chromosome Aberrations

Identifiers

PMID20718045
PMCPMC3061487

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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 OpenQuestion graph.