Evidence map›Paper›PMID 37262146›Full record

ArticleScience (New York, N.Y.)2023

Rare penetrant mutations confer severe risk of common diseases.

Petko P Fiziev, Jeremy McRae, Jacob C Ulirsch, Jacqueline S Dron, Tobias Hamp, Yanshen Yang, Pierrick Wainschtein, Zijian Ni, Joshua G Schraiber, Hong Gao and 11 more

Abstract read
PubMed Publisher
In one paragraph

Article in Science (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
21.6field-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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
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  5. Evolution of quantitative traits with background selection.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  8. Review
  9. Article
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  17. Fifty Shades of Risk: Population Studies and the Genetic Architecture of Kidney Diseases.Journal of the American Society of Nephrology : JASN · 2026
    Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 6 institutions in 3 countries.

Petko P Fiziev *Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.ORCID 0000-0002-1572-4621
Jeremy McRae *Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.ORCID 0000-0003-3411-9248
Jacob C UlirschArtificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.ORCID 0000-0002-7947-0827
Jacqueline S DronCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0002-3045-6530
Tobias HampArtificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
Yanshen YangArtificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
Pierrick WainschteinArtificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.ORCID 0000-0002-5203-6481
Zijian NiDepartment of Statistics, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0003-1181-8337
Joshua G SchraiberArtificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
Hong GaoArtificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.ORCID 0000-0001-6274-4513
Dylan CableDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02142, USA.
Yair FieldArtificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.ORCID 0000-0002-5327-1678
Francois AguetArtificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.ORCID 0000-0001-9414-300X
Marc FasnachtArtificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
Ahmed MetwallyArtificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.ORCID 0000-0002-0155-7412
Jeffrey RogersHuman Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-7374-6490
Tomas Marques-BonetInstitute of Evolutionary Biology (UPF-CSIC), 08003 Barcelona, Spain.ORCID 0000-0002-5597-3075
Heidi L RehmCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0002-6025-0015
Anne O'Donnell-LuriaProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0001-6418-9592
Amit V KheraCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0001-6535-5839
Kyle Kai-How FarhArtificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.ORCID 0000-0001-6947-8537
Illumina (United States) · USBroad Institute · USUniversity of Wisconsin–Madison · USInstitució Catalana de Recerca i Estudis Avançats · ESMassachusetts Institute of Technology · USThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined 454,712 exomes for genes associated with a wide spectrum of complex traits and common diseases and observed that rare, penetrant mutations in genes implicated by genome-wide association studies confer ~10-fold larger effects than common variants in the same genes. Consequently, an individual at the phenotypic extreme and at the greatest risk for severe, early-onset disease is better identified by a few rare penetrant variants than by the collective action of many common variants with weak effects. By combining rare variants across phenotype-associated genes into a unified genetic risk model, we demonstrate superior portability across diverse global populations compared with common-variant polygenic risk scores, greatly improving the clinical utility of genetic-based risk prediction.

Indexed as

Genetic Predisposition to DiseaseMultifactorial InheritancePenetranceGenome-Wide Association StudyHumansMutationPhenotypeRisk Factors

Identifiers

PMID37262146
OpenAlexW4378976118

What OpenQuestion holds

Textmetadata
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.