Evidence map›Paper›PMID 34859531›Full record

ReviewHuman mutation2022

Variant interpretation using population databases: Lessons from gnomAD.

Sanna Gudmundsson, Moriel Singer-Berk, Nicholas A Watts, William Phu, Julia K Goodrich, Matthew Solomonson, Genome Aggregation Database Consortium, Heidi L Rehm, Daniel G MacArthur, Anne O'Donnell-Luria

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in Human mutation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06736158 (Early Genomic Testing for Inherited Bleeding Disorders in Patients Without a Diagnosis After First Line Testing), which is not on this map. Cited by 439 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
439citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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.

NCT06736158 early_phase1recruitingnot on this mapstarted 2025, after this paper: background citation

Early Genomic Testing for Inherited Bleeding Disorders in Patients Without a Diagnosis After First Line Testing: a Randomized Controlled Trial

TypeinterventionalSponsorQueen's UniversityRan2025 to 2027Enrolled212ConditionsBleeding DisorderArmsGenetic testing for inherited bleeding disorders
3 · Its place in the literature

Who cites it

439 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  4. Review
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  10. A recurrentBiochemistry and biophysics reports · 2026
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379 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

10 authors at 1 institution in 2 countries.

Sanna GudmundssonProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-2332-074X
Moriel Singer-BerkProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-8148-0648
Nicholas A WattsProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
William PhuProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-5569-1000
Julia K GoodrichProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-0480-1924
Matthew SolomonsonProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-5344-9026
Genome Aggregation Database Consortium
Heidi L RehmProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-6025-0015
Daniel G MacArthurProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-5771-2290
Anne O'Donnell-LuriaProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-6418-9592
Broad Institute · US

Funding

The Genome Aggregation Database (gnomAD)U24HG011450 · NHGRI · BROAD INSTITUTE, INC. · PI Mark Joseph Daly, Konrad Karczewski · 2021 to 2026
$22.3M
Joint Center for Mendelian GenomicsUM1HG008900 · NHGRI · BROAD INSTITUTE, INC. · PI O'DONNELL-LURIA, ANNE, REHM, HEIDI L · 2016 to 2020
$16.5M
Broad Institute Mendelian Genomic Research CenterU01HG011755 · NHGRI · BROAD INSTITUTE, INC. · PI Anne O'Donnell-Luria, MICHAEL E TALKOWSKI · 2021 to 2026
$14.6M
Computational resources for genomic interpretation of type 2 diabetesU54DK105566 · NIDDK · BROAD INSTITUTE, INC. · PI MACARTHUR, DANIEL G, NEALE, BENJAMIN MICHAEL · 2014 to 2017
$8.6M
Medical Research Council MR/L010305/1NHGRI NIH HHS U01 HG011755NHGRI NIH HHS U24 HG011450NHGRI NIH HHS UM1 HG008900NIDDK NIH HHS U54 DK105566
6 · The paper itself

Abstract

Reference population databases are an essential tool in variant and gene interpretation. Their use guides the identification of pathogenic variants amidst the sea of benign variation present in every human genome, and supports the discovery of new disease-gene relationships. The Genome Aggregation Database (gnomAD) is currently the largest and most widely used publicly available collection of population variation from harmonized sequencing data. The data is available through the online gnomAD browser (https://gnomad.broadinstitute.org/) that enables rapid and intuitive variant analysis. This review provides guidance on the content of the gnomAD browser, and its usage for variant and gene interpretation. We introduce key features including allele frequency, per-base expression levels, constraint scores, and variant co-occurrence, alongside guidance on how to use these in analysis, with a focus on the interpretation of candidate variants and novel genes in rare disease.

Indexed as

Rare DiseasesSoftwareDatabases, GeneticGene FrequencyHumansallele frequencyconstraintdatabasegnomADreference populationvariant interpretation

Identifiers

PMID34859531
PMCPMC9160216
OpenAlexW3185808000

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.