Evidence map›Paper›PMID 22251874›Full record

ReviewNature reviews. Genetics2012

Rare and common variants: twenty arguments.

Greg Gibson

Registry-linked trialAbstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04331535 (Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care), which is not on this map. Cited by 612 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
612citing papers in PubMed, 5 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.

NCT04331535 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care

TypeinterventionalSponsorBoston VA Research Institute, Inc.Ran2020 to 2025Enrolled1,076ConditionsCoronary Artery Disease, Atrial Fibrillation, Type 2 Diabetes, Colorectal CancerArmsPolygenic risk score (PRS)
3 · Its place in the literature

Who cites it

612 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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552 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

1 author.

Greg GibsonSchool of Biology and Center for Integrative Genomics, 770 State Street, Georgia Institute of Technology, Atlanta, Georgia 30332, USA. greg.gibson@biology. gatech.edu

Funding

Statistical Methods for X-Chromosome Genetic DataP01GM099568 · NIGMS · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2012 to 2016
$7.3M
NIGMS NIH HHS P01 GM099568
6 · The paper itself

Abstract

Genome-wide association studies have greatly improved our understanding of the genetic basis of disease risk. The fact that they tend not to identify more than a fraction of the specific causal loci has led to divergence of opinion over whether most of the variance is hidden as numerous rare variants of large effect or as common variants of very small effect. Here I review 20 arguments for and against each of these models of the genetic basis of complex traits and conclude that both classes of effect can be readily reconciled.

Indexed as

Genetic VariationAllelesAnimalsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansModels, Genetic

Identifiers

PMID22251874
PMCPMC4408201

What OpenQuestion holds

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Read underepoch 390

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.