Evidence map›Paper›PMID 38057443›Full record

ArticleNature genetics2024

Inferring compound heterozygosity from large-scale exome sequencing data.

Michael H Guo, Laurent C Francioli, Sarah L Stenton, Julia K Goodrich, Nicholas A Watts, Moriel Singer-Berk, Emily Groopman, Philip W Darnowsky, Matthew Solomonson, Samantha Baxter and 10 more

Abstract read
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. A Benchmark of Modern Statistical Phasing Methods.bioRxiv : the preprint server for biology · 2026
    Article
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  16. Assessment of the variant prioritization strategy for genomic newborn screening in the Generation Study.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Michael H Guo *Department of Neurology, Hospital of the University of the Pennsylvania, Philadelphia, PA, USA.
Laurent C Francioli *Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-3039-8895
Sarah L StentonProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-4071-449X
Julia K GoodrichProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nicholas A WattsProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Moriel Singer-BerkProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Emily GroopmanProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Philip W DarnowskyProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Matthew SolomonsonProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Samantha BaxterProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-4616-9234
gnomAD Project Consortium
Grace TiaoProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Benjamin M NealeProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-1513-6077
Joel N HirschhornProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-1650-7901
Heidi L RehmProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-6025-0015
Mark J DalyProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-0949-8752
Anne O'Donnell-LuriaProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-6418-9592
Konrad J KarczewskiProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-2878-4671
Daniel G MacArthurProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Kaitlin E SamochaProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA. samocha@broadinstitute.org.ORCID 0000-0002-1704-3352

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
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
Medical Research Council MC_UP_1102/20NHGRI NIH HHS U01 HG011755NHGRI NIH HHS U24 HG011450NHGRI NIH HHS UM1 HG008900NIDDK NIH HHS P30 DK043351
6 · The paper itself

Abstract

Recessive diseases arise when both copies of a gene are impacted by a damaging genetic variant. When a patient carries two potentially causal variants in a gene, accurate diagnosis requires determining that these variants occur on different copies of the chromosome (that is, are in trans) rather than on the same copy (that is, in cis). However, current approaches for determining phase, beyond parental testing, are limited in clinical settings. Here we developed a strategy for inferring phase for rare variant pairs within genes, leveraging genotypes observed in the Genome Aggregation Database (v2, n = 125,748 exomes). Our approach estimates phase with 96% accuracy, both in trio data and in patients with Mendelian conditions and presumed causal compound heterozygous variants. We provide a public resource of phasing estimates for coding variants and counts per gene of rare variants in trans that can aid interpretation of rare co-occurring variants in the context of recessive disease.

Indexed as

ExomeHigh-Throughput Nucleotide SequencingExome SequencingGenotypeHumans

Identifiers

PMID38057443
PMCPMC10872287

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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.