Evidence map›Paper›PMID 28369035›Full record

ArticleNature genetics2017

Estimating the selective effects of heterozygous protein-truncating variants from human exome data.

Christopher A Cassa, Donate Weghorn, Daniel J Balick, Daniel M Jordan, David Nusinow, Kaitlin E Samocha, Anne O'Donnell-Luria, Daniel G MacArthur, Mark J Daly, David R Beier and 1 more

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed
17.4field-weighted citation impact, top 1% of its field
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

113 citing papers in PubMed, 193 citations in OpenAlex.

  1. Article
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  7. A scalable approach to resolving variants of uncertain significance.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
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  11. Spatial variation in the mutation rate within the plant shoot apical meristem.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  18. Review
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  20. Review

53 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Christopher A CassaDivision of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Donate WeghornDivision of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Daniel J BalickDivision of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Daniel M JordanDepartment of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
David NusinowDivision of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0002-7819-5261
Kaitlin E SamochaAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Anne O'Donnell-LuriaAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Daniel G MacArthurProgram in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA.
Mark J DalyProgram in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA.ORCID http://orcid.org/0000-0002-0949-8752
David R BeierCenter for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, Washington, USA.
Shamil R SunyaevDivision of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Broad Institute · USBrigham and Women's Hospital · USBoston University · USHarvard University · USIcahn School of Medicine at Mount Sinai · USSeattle Children's Hospital · US

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Ramnik J Xavier · 1991 to 2026
$35.3M
Statistical methods for studies of rare variantsR01MH101244 · NIMH · HARVARD MEDICAL SCHOOL · PI Benjamin Michael Neale, ALKES L PRICE · 2013 to 2026
$9.4M
Powering whole genome sequence-based genetic discovery for common human diseases- Extended 2021-2022.U01HG009088 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIN, XIHONG, NEALE, BENJAMIN MICHAEL · 2016 to 2021
$5.1M
New Methods and Enhanced Software for Predicting Functional SNPsR01GM078598 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SUNYAEV, SHAMIL · 2007 to 2017
$3.5M
Annotation and interpretation of loss-of-function polymorphisms in human genomesR01GM104371 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI MACARTHUR, DANIEL G · 2013 to 2016
$1.3M
Clinical prioritization of reported disease variants in asymptomatic individualsR00HG007229 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASSA, CHRISTOPHER · 2015 to 2017
$747k
Clinical prioritization of reported disease variants in asymptomatic individualsK99HG007229 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASSA, CHRISTOPHER · 2013 to 2014
$218k
NHGRI NIH HHS K99 HG007229NHGRI NIH HHS R00 HG007229NHGRI NIH HHS U01 HG009088NIDDK NIH HHS P30 DK043351NIGMS NIH HHS R01 GM078598NIGMS NIH HHS R01 GM104371NIMH NIH HHS R01 MH101244
6 · The paper itself

Abstract

The evolutionary cost of gene loss is a central question in genetics and has been investigated in model organisms and human cell lines. In humans, tolerance of the loss of one or both functional copies of a gene is related to the gene's causal role in disease. However, estimates of the selection and dominance coefficients in humans have been elusive. Here we analyze exome sequence data from 60,706 individuals to make genome-wide estimates of selection against heterozygous loss of gene function. Using this distribution of selection coefficients for heterozygous protein-truncating variants (PTVs), we provide corresponding Bayesian estimates for individual genes. We find that genes under the strongest selection are enriched in embryonic lethal mouse knockouts, Mendelian disease-associated genes, and regulators of transcription. Screening by essentiality, we find a large set of genes under strong selection that are likely to have crucial functions but have not yet been thoroughly characterized.

Indexed as

Genetic VariationSelection, GeneticAlgorithmsAnimalsBayes TheoremExomeGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHeterozygoteHumansMice, KnockoutModels, GeneticMutationSequence Analysis, DNA

Identifiers

PMID28369035
PMCPMC5618255
OpenAlexW2605072706

What OpenQuestion holds

Textmetadata
LicenceTDM
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.