Evidence map›Paper›PMID 20479773›Full record

ReviewNature reviews. Genetics2010

Uncovering the roles of rare variants in common disease through whole-genome sequencing.

Elizabeth T Cirulli, David B Goldstein

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02146872 (Premature Coronary Artery Disease - Clinical and Molecular Genetic Aspects), which is not on this map. Cited by 607 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
607citing papers in PubMed, 6 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.

NCT02146872 unknown statusnot on this mapstarted 2014, after this paper: background citation

Premature Coronary Artery Disease - Clinical and Molecular Genetic Aspects

TypeobservationalSponsorAarhus University Hospital SkejbyRan2014 to 2016Enrolled400ConditionsCoronary Artery Disease, Myocardial Infarction, Atherosclerosis
3 · Its place in the literature

Who cites it

607 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Gene therapy for intracranial aneurysms: systemic review.Journal of neurointerventional surgery · 2025
    Pooled it
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  4. Genetic susceptibility to cerebrovascular disease: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018
    Pooled it
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  17. Scalable and accurate rare-variant association tests for whole genome sequencing time-to-event analysis in large biobanks.Proceedings of the National Academy of Sciences of the United States of America · 2026
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547 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

2 authors.

Elizabeth T CirulliCenter for Human Genome Variation, Duke University Medical School, Durham, North Carolina 27708, USA.
David B Goldstein

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although genome-wide association (GWA) studies for common variants have thus far succeeded in explaining only a modest fraction of the genetic components of human common diseases, recent advances in next-generation sequencing technologies could rapidly facilitate substantial progress. This outcome is expected if much of the missing genetic control is due to gene variants that are too rare to be picked up by GWA studies and have relatively large effects on risk. Here, we evaluate the evidence for an important role of rare gene variants of major effect in common diseases and outline discovery strategies for their identification.

Indexed as

AnimalsChromosome MappingDiseaseGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansModels, BiologicalPedigreeSequence Analysis, DNA

Identifiers

PMID20479773

What OpenQuestion holds

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Registered trials

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.