Evidence map›Paper›PMID 37604963›Full record

ArticleNature genetics2023

GATK-gCNV enables the discovery of rare copy number variants from exome sequencing data.

Mehrtash Babadi, Jack M Fu, Samuel K Lee, Andrey N Smirnov, Laura D Gauthier, Mark Walker, David I Benjamin, Xuefang Zhao, Konrad J Karczewski, Isaac Wong and 5 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 92 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 1 pooled it
36.3field-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

92 citing papers in PubMed, 1 synthesis or guideline pooled it, 105 citations in OpenAlex.

  1. Pooled it
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  8. Germline determinants of risk and molecular subtype in young-onset lung cancer.medRxiv : the preprint server for health sciences · 2026
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  16. Comprehensive analysis ofmedRxiv : the preprint server for health sciences · 2026
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32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Mehrtash Babadi *Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA. mehrtash@broadinstitute.org.ORCID http://orcid.org/0000-0003-1829-8397
Jack M Fu *Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Samuel K Lee *Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-6733-0547
Andrey N Smirnov *Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-4450-0408
Laura D GauthierData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Mark WalkerData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-6613-4560
David I BenjaminData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Xuefang ZhaoProgram in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Konrad J KarczewskiProgram in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2878-4671
Isaac WongProgram in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-4877-5748
Ryan L CollinsProgram in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1268-9995
Alba Sanchis-JuanProgram in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Harrison BrandProgram in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Eric BanksData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Michael E TalkowskiProgram in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA. talkowsk@broadinstitute.org.ORCID http://orcid.org/0000-0003-2889-0992
Broad Institute · US

Funding

Center for Common Disease GeneticsUM1HG008895 · NHGRI · BROAD INSTITUTE, INC. · PI DALY, MARK JOSEPH, GABRIEL, STACEY · 2016 to 2020
$111.2M
The Genome Aggregation Database (gnomAD)U24HG011450 · NHGRI · BROAD INSTITUTE, INC. · PI Mark Joseph Daly, Konrad Karczewski · 2021 to 2026
$22.3M
Broad Institute Mendelian Genomic Research CenterU01HG011755 · NHGRI · BROAD INSTITUTE, INC. · PI Anne O'Donnell-Luria, MICHAEL E TALKOWSKI · 2021 to 2026
$14.6M
The Massachusetts General Hospital Harvard Center for Reproductive MedicineP50HD104224 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI SEMINARA, STEPHANIE BETH · 2021 to 2025
$7.8M
Clinical Diagnostic Sequencing of Structural VariationR01HD081256 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI TALKOWSKI, MICHAEL E · 2015 to 2025
$7.2M
Scalable tool and comprehensive maps to interpret structural variation across the neuropsychiatric spectrumR01MH115957 · NIMH · BROAD INSTITUTE, INC. · PI TALKOWSKI, MICHAEL E · 2019 to 2025
$5.4M
Functional convergence following disruption of diverse genes associated with neurodevelopmental disordersR01MH123155 · NIMH · YALE UNIVERSITY · PI BRENNAND, KRISTEN JENNIFER, RUDERFER, DOUGLAS · 2021 to 2025
$4.1M
The Genomic Architecture of Pregnancy LossR01HD105266 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI TALKOWSKI, MICHAEL E, WAPNER, RONALD · 2021 to 2024
$3.1M
Scalable tool and comprehensive maps to interpret structural variation across the neuropsychiatric spectrumRF1MH115957 · NIMH · BROAD INSTITUTE, INC. · PI MICHAEL E TALKOWSKI · 2026 to 2026
$1.5M
Scalable tools and comprehensive maps to interpret structural variation across the neuropsychiatric spectrumR56MH115957 · NIMH · BROAD INSTITUTE, INC. · PI TALKOWSKI, MICHAEL E · 2018 to 2018
$870k
Exploring the genetic architecture of structural birth defectsR03HD099547 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI TALKOWSKI, MICHAEL E · 2019 to 2020
$336k
NHGRI NIH HHS U01 HG011755NHGRI NIH HHS U24 HG011450NHGRI NIH HHS UM1 HG008895NICHD NIH HHS P50 HD104224NICHD NIH HHS R01 HD081256NICHD NIH HHS R01 HD105266NICHD NIH HHS R03 HD099547NIMH NIH HHS R01 MH115957NIMH NIH HHS R01 MH123155NIMH NIH HHS R56 MH115957NIMH NIH HHS RF1 MH115957
6 · The paper itself

Abstract

Copy number variants (CNVs) are major contributors to genetic diversity and disease. While standardized methods, such as the genome analysis toolkit (GATK), exist for detecting short variants, technical challenges have confounded uniform large-scale CNV analyses from whole-exome sequencing (WES) data. Given the profound impact of rare and de novo coding CNVs on genome organization and human disease, we developed GATK-gCNV, a flexible algorithm to discover rare CNVs from sequencing read-depth information, complete with open-source distribution via GATK. We benchmarked GATK-gCNV in 7,962 exomes from individuals in quartet families with matched genome sequencing and microarray data, finding up to 95% recall of rare coding CNVs at a resolution of more than two exons. We used GATK-gCNV to generate a reference catalog of rare coding CNVs in WES data from 197,306 individuals in the UK Biobank, and observed strong correlations between per-gene CNV rates and measures of mutational constraint, as well as rare CNV associations with multiple traits. In summary, GATK-gCNV is a tunable approach for sensitive and specific CNV discovery in WES data, with broad applications.

Indexed as

DNA Copy Number VariationsExomeChromosome MappingExome SequencingExonsHumans

Identifiers

PMID37604963
PMCPMC10904014
OpenAlexW4386033437

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.