Evidence map›Paper›PMID 21376301›Full record

ArticleAmerican journal of human genetics2011

Estimating missing heritability for disease from genome-wide association studies.

Sang Hong Lee, Naomi R Wray, Michael E Goddard, Peter M Visscher

Abstract read
In one paragraph

Article in American journal of human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 684 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
684citing papers in PubMed, 15 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

684 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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  16. Article
  17. Genetic architectures of brain-related traits are shaped by strong selective constraints.Proceedings of the National Academy of Sciences of the United States of America · 2026
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624 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Sang Hong LeeQueensland Institute of Medical Research, 300 Herston Road, Herston, Queensland 4006, Australia.
Naomi R Wray
Michael E Goddard
Peter M Visscher

Funding

Wellcome TrustWellcome Trust 076113
6 · The paper itself

Abstract

Genome-wide association studies are designed to discover SNPs that are associated with a complex trait. Employing strict significance thresholds when testing individual SNPs avoids false positives at the expense of increasing false negatives. Recently, we developed a method for quantitative traits that estimates the variation accounted for when fitting all SNPs simultaneously. Here we develop this method further for case-control studies. We use a linear mixed model for analysis of binary traits and transform the estimates to a liability scale by adjusting both for scale and for ascertainment of the case samples. We show by theory and simulation that the method is unbiased. We apply the method to data from the Wellcome Trust Case Control Consortium and show that a substantial proportion of variation in liability for Crohn disease, bipolar disorder, and type I diabetes is tagged by common SNPs.

Indexed as

Bipolar DisorderCase-Control StudiesComputer SimulationCrohn DiseaseDiabetes Mellitus, Type 1DiseaseGenetic VariationGenome-Wide Association StudyHumansInheritance PatternsModels, GeneticPolymorphism, Single NucleotideQuality Control

Identifiers

PMID21376301
PMCPMC3059431

What OpenQuestion holds

Textmetadata
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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.