Evidence map›Paper›PMID 19956679›Full record

ArticlePLoS genetics2009

On the analysis of genome-wide association studies in family-based designs: a universal, robust analysis approach and an application to four genome-wide association studies.

Sungho Won, Jemma B Wilk, Rasika A Mathias, Christopher J O'Donnell, Edwin K Silverman, Kathleen Barnes, George T O'Connor, Scott T Weiss, Christoph Lange

Abstract read
In one paragraph

Article in PLoS genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  9. Relevance of the COPI complex for Alzheimer's disease progression in vivo.Proceedings of the National Academy of Sciences of the United States of America · 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

9 authors.

Sungho WonDepartment of Statistics, Chung-Ang University, Seoul, Korea.
Jemma B Wilk
Rasika A Mathias
Christopher J O'Donnell
Edwin K Silverman
Kathleen Barnes
George T O'Connor
Scott T Weiss
Christoph Lange

Funding

THE PHARMACOGENETICS OF ASTHMA TREATMENTU01HL065899 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI TANTISIRA, KELAN G, WEISS, SCOTT T · 2000 to 2014
$38.5M
SYSTEMS APPROACHES TO THE EPIDEMIOLOGY, GENETICS AND GENOMICS OF LUNG DISEASEST32HL007427 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI DAWN L DEMEO, Edwin K Silverman · 1985 to 2026
$13.6M
Statistical GeneticsP01HL083069 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WEISS, SCOTT T · 2007 to 2011
$12.2M
Genetics and Gene Expression Profiling in AsthmaR01HL086601 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI RABY, BENJAMIN ALEXANDER · 2007 to 2015
$6.8M
CAMP Continuation Study/Phase 3U01HL075419 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI FUHLBRIGGE, ANNE L · 2003 to 2010
$2.0M
Novel Statistical Approaches to Mental Health Phenotype Analysis in GWA StudiesR01MH081862 · NIMH · HARVARD SCHOOL OF PUBLIC HEALTH · PI LANGE, CHRISTOPH · 2009 to 2014
$2.0M
A New Approach to Mental Health Phenotypes in Family Genomewide AssociationR01MH087590 · NIMH · HARVARD SCHOOL OF PUBLIC HEALTH · PI LANGE, CHRISTOPH · 2010 to 2013
$1.6M
Medical Research Council G00000934NHLBI NIH HHS P01 HL083069NHLBI NIH HHS R01 HL086601NHLBI NIH HHS T32 HL007427NHLBI NIH HHS T32 HL07427NHLBI NIH HHS U01 HL065899NHLBI NIH HHS U01 HL075419NHLBI NIH HHS U01 HL65899NIMH NIH HHS R01 MH081862NIMH NIH HHS R01 MH087590Wellcome TrustWellcome Trust 068545/Z/02
6 · The paper itself

Abstract

For genome-wide association studies in family-based designs, we propose a new, universally applicable approach. The new test statistic exploits all available information about the association, while, by virtue of its design, it maintains the same robustness against population admixture as traditional family-based approaches that are based exclusively on the within-family information. The approach is suitable for the analysis of almost any trait type, e.g. binary, continuous, time-to-onset, multivariate, etc., and combinations of those. We use simulation studies to verify all theoretically derived properties of the approach, estimate its power, and compare it with other standard approaches. We illustrate the practical implications of the new analysis method by an application to a lung-function phenotype, forced expiratory volume in one second (FEV1) in 4 genome-wide association studies.

Indexed as

Computer SimulationFamilyModels, StatisticalForced Expiratory VolumeGenome, HumanGenome-Wide Association StudyHumansLungModels, TheoreticalPhenotype

Identifiers

PMID19956679
PMCPMC2777973

What OpenQuestion 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 OpenQuestion graph.