Evidence map›Paper›PMID 38944039›Full record

ArticleCell genomics2024

Exome-wide evidence of compound heterozygous effects across common phenotypes in the UK Biobank.

Frederik H Lassen, Samvida S Venkatesh, Nikolas Baya, Barney Hill, Wei Zhou, Alex Bloemendal, Benjamin M Neale, Benedikt M Kessler, Nicola Whiffin, Cecilia M Lindgren and 1 more

Abstract read
In one paragraph

Article in Cell genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Genome-wide association testing beyond SNPs.Nature reviews. Genetics · 2025
    Review
  11. Article
  12. Inferring compound heterozygosity from large-scale exome sequencing data.bioRxiv : the preprint server for biology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Frederik H LassenWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK. Electronic address: flassen@well.ox.ac.uk.
Samvida S VenkateshWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
Nikolas BayaWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
Barney HillBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
Wei ZhouProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Alex BloemendalProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Novo Nordisk Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Data Sciences Platform, 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; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Benedikt M KesslerTarget Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Nicola WhiffinWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Cecilia M LindgrenWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, UK. Electronic address: cecilia.lindgren@wrh.ox.ac.uk.
Duncan S PalmerBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, UK. Electronic address: duncan.stuart.palmer@gmail.com.

Funding

The Massachusetts General Hospital Harvard Center for Reproductive MedicineP50HD104224 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI TALKOWSKI, MICHAEL E · 2021 to 2025
$7.8M
An integrative approach to disease gene discovery combining genetic variation, gene expression, and epigenetics.R00HG012222 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Wei Zhou · 2024 to 2026
$747k
An integrative approach to disease gene discovery combining genetic variation, gene expression, and epigenetics.K99HG012222 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI ZHOU, WEI · 2022 to 2023
$319k
NHGRI NIH HHS K99 HG012222NHGRI NIH HHS R00 HG012222NICHD NIH HHS P50 HD104224Wellcome Trust
6 · The paper itself

Abstract

The phenotypic impact of compound heterozygous (CH) variation has not been investigated at the population scale. We phased rare variants (MAF ∼0.001%) in the UK Biobank (UKBB) exome-sequencing data to characterize recessive effects in 175,587 individuals across 311 common diseases. A total of 6.5% of individuals carry putatively damaging CH variants, 90% of which are only identifiable upon phasing rare variants (MAF < 0.38%). We identify six recessive gene-trait associations (p < 1.68 × 10

Indexed as

Biological Specimen BanksExomeHeterozygotePhenotypeAsthmaFemaleFilaggrin ProteinsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMalePulmonary Disease, Chronic ObstructiveUK BiobankUnited KingdomFilaggrin Proteinsbi-alleliccompound heterozygositylongtudinalphasingpopulation geneticsrecessive

Identifiers

PMID38944039
PMCPMC11293579

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.