Evidence map›Paper›PMID 22604722›Full record

ArticleScience (New York, N.Y.)2012

An abundance of rare functional variants in 202 drug target genes sequenced in 14,002 people.

Matthew R Nelson, Daniel Wegmann, Margaret G Ehm, Darren Kessner, Pamela St Jean, Claudio Verzilli, Judong Shen, Zhengzheng Tang, Silviu-Alin Bacanu, Dana Fraser and 21 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 390 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
390citing papers in PubMed, 1 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

390 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Study design and the sampling of deleterious rare variants in biobank-scale datasets.Proceedings of the National Academy of Sciences of the United States of America · 2025
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330 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

Matthew R NelsonDepartment of Quantitative Sciences, GlaxoSmithKline (GSK), Research Triangle Park, NC 27709, USA. matthew.r.nelson@gsk.com
Daniel Wegmann
Margaret G Ehm
Darren Kessner
Pamela St Jean
Claudio Verzilli
Judong Shen
Zhengzheng Tang
Silviu-Alin Bacanu
Dana Fraser
Liling Warren
Jennifer Aponte
Matthew Zawistowski
Xiao Liu
Hao Zhang
Yong Zhang
Jun Li
Yun Li
Li Li
Peter Woollard
Simon Topp
Matthew D Hall
Keith Nangle
Jun Wang
Gonçalo Abecasis
Lon R Cardon
Sebastian Zöllner
John C Whittaker
Stephanie L Chissoe
John Novembre
Vincent Mooser

Funding

Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Robust Software Tools for Variant Identification and Functional AssessmentU01HG006513 · NHGRI · UNIVERSITY OF UTAH · PI ABECASIS, GONCALO, MARTH, GABOR T · 2012 to 2015
$4.2M
NHGRI NIH HHS T32 HG002536NHGRI NIH HHS U01 HG006513
6 · The paper itself

Abstract

Rare genetic variants contribute to complex disease risk; however, the abundance of rare variants in human populations remains unknown. We explored this spectrum of variation by sequencing 202 genes encoding drug targets in 14,002 individuals. We find rare variants are abundant (1 every 17 bases) and geographically localized, so that even with large sample sizes, rare variant catalogs will be largely incomplete. We used the observed patterns of variation to estimate population growth parameters, the proportion of variants in a given frequency class that are putatively deleterious, and mutation rates for each gene. We conclude that because of rapid population growth and weak purifying selection, human populations harbor an abundance of rare variants, many of which are deleterious and have relevance to understanding disease risk.

Indexed as

Genetic VariationGenome, HumanAsian PeopleBlack or African AmericanDiseaseGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGeographyHigh-Throughput Nucleotide SequencingHumansMolecular Targeted TherapyMultifactorial InheritanceMutation RatePharmacogeneticsPhenotype

Identifiers

PMID22604722
PMCPMC4319976

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.