Evidence map›Paper›PMID 35532742›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2022

A gene-to-patient approach uplifts novel disease gene discovery and identifies 18 putative novel disease genes.

Eleanor G Seaby, Damian Smedley, Ana Lisa Taylor Tavares, Helen Brittain, Richard H van Jaarsveld, Diana Baralle, Heidi L Rehm, Anne O'Donnell-Luria, Sarah Ennis, Genomics England Research Consortium

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Unique signatures of highly constrained genes across publicly available genomic databases.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  4. Article
  5. Automated Shared Phenotype Discovery in Undiagnosed Cohorts for Rare Disease Research.Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Eleanor G SeabyHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom; Program in Medical and Population Genetics, Broad institute of MIT and Harvard, Boston, MA; Center for Genomic Medicine, Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA. Electronic address: E.Seaby@soton.ac.uk.
Damian SmedleyGenomics England, Dawson Hall, Charterhouse Square, London, EC1M 6BQ, United Kingdom.
Ana Lisa Taylor TavaresGenomics England, Dawson Hall, Charterhouse Square, London, EC1M 6BQ, United Kingdom.
Helen BrittainGenomics England, Dawson Hall, Charterhouse Square, London, EC1M 6BQ, United Kingdom.
Richard H van JaarsveldDepartment of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Diana BaralleHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Heidi L RehmProgram in Medical and Population Genetics, Broad institute of MIT and Harvard, Boston, MA; Center for Genomic Medicine, Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA.
Anne O'Donnell-LuriaProgram in Medical and Population Genetics, Broad institute of MIT and Harvard, Boston, MA; Center for Genomic Medicine, Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA.
Sarah EnnisHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Genomics England Research Consortium

Funding

Resource ProjectU41HG006834 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI REHM, HEIDI L · 2013 to 2020
$26.9M
ClinGen AI Data Delivery SupplementU24HG006834 · NHGRI · BROAD INSTITUTE, INC. · PI Marina DiStefano, CHRISTA LESE MARTIN · 2021 to 2026
$26.7M
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
Rare genetic disorders in NeuroDev: Insight into the genetic and phenotypic heterogeneity of ID, ASD and ADHD in South African PopulationsU01MH119689 · NIMH · BROAD INSTITUTE, INC. · PI DONALD, KIRSTY, O'DONNELL-LURIA, ANNE · 2019 to 2023
$5.2M
NHGRI NIH HHS U01 HG011755NHGRI NIH HHS U24 HG006834NHGRI NIH HHS U24 HG011450NHGRI NIH HHS U41 HG006834NHGRI NIH HHS UM1 HG008900NIMH NIH HHS U01 MH119689Wellcome Trust
6 · The paper itself

Abstract

purposeExome and genome sequencing have drastically accelerated novel disease gene discoveries. However, discovery is still hindered by myriad variants of uncertain significance found in genes of undetermined biological function. This necessitates intensive functional experiments on genes of equal predicted causality, leading to a major bottleneck.

methodsWe apply the loss-of-function observed/expected upper-bound fraction metric of intolerance to gene inactivation to curate a list of predicted haploinsufficient disease genes. Using data from the 100,000 Genomes Project, we adopt a gene-to-patient approach that matches de novo loss-of-function variants in constrained genes to patients with rare disease. Through large-scale aggregation of data, we reduce excess analytical noise currently hindering novel discoveries.

resultsResults from 13,949 trios revealed 643 rare, de novo predicted loss-of-function events filtered from 1044 loss-of-function observed/expected upper-bound fraction-constrained genes. A total of 168 variants occurred within 126 genes without a known disease-gene relationship. Of these, 27 genes had >1 kindred affected, and for 18 of these genes, multiple kindreds had overlapping phenotypes. Two years after initial analysis, 11 of 18 (61%) of these genes have been independently published as novel disease gene discoveries.

conclusionUsing large cohorts and adopting gene-based approaches can rapidly and objectively accelerate dominantly inherited novel gene discovery by targeting the most appropriate genes for functional validation.

Indexed as

ExomeExome SequencingGenetic Association StudiesHumansPhenotypeDiagnostic upliftDisease genesGenome sequencingMendelian diseaseNovel gene discovery

Identifiers

PMID35532742
PMCPMC11740642

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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.