Evidence map›Paper›PMID 33408250›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Negative selection on human genes underlying inborn errors depends on disease outcome and both the mode and mechanism of inheritance.

Franck Rapaport, Bertrand Boisson, Anne Gregor, Vivien Béziat, Stéphanie Boisson-Dupuis, Jacinta Bustamante, Emmanuelle Jouanguy, Anne Puel, Jérémie Rosain, Qian Zhang and 6 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
11.8field-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

62 citing papers in PubMed, 74 citations in OpenAlex.

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  19. Article
  20. Human LY9 governs CD4Science immunology · 2025
    Article

2 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

16 authors at 6 institutions in 3 countries.

Franck RapaportSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065; casanova@rockefeller.edu frapaport@rockefeller.edu.
Bertrand BoissonSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065.ORCID 0000-0001-5240-3555
Anne GregorInstitute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany.
Vivien BéziatSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065.ORCID 0000-0002-4020-824X
Stéphanie Boisson-DupuisSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065.
Jacinta BustamanteSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065.ORCID 0000-0002-3439-2482
Emmanuelle JouanguySt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065.
Anne PuelSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065.
Jérémie RosainLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM UMR 1163, Necker Hospital for Sick Children, 75015 Paris, France.
Qian ZhangSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065.
Shen-Ying ZhangSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065.
Joseph G GleesonHoward Hughes Medical Institute, La Jolla, CA 92093.ORCID 0000-0002-0889-9220
Lluis Quintana-MurciHuman Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, 75015 Paris, France.ORCID 0000-0003-2429-6320
Jean-Laurent CasanovaSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065; casanova@rockefeller.edu frapaport@rockefeller.edu.
Laurent AbelSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065.
Etienne PatinHuman Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, 75015 Paris, France.
Inserm · FRCentre National de la Recherche Scientifique · FRRockefeller University · USChildren’s Institute · USFriedrich-Alexander-Universität Erlangen-Nürnberg · DEHoward Hughes Medical Institute · US

Funding

Developing, Demonstrating, and Disseminating Innovative Programs to Achieve Translational SuccessUL1TR001866 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY, KRUEGER, JAMES G · 2016 to 2025
$40.6M
Regulation of IgA class switching in the intestinal mucosaP01AI061093 · NIAID · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI CUNNINGHAM-RUNDLES, CHARLOTTE · 2004 to 2021
$29.8M
NCATS NIH HHS UL1 TR001866NIAID NIH HHS P01 AI061093
6 · The paper itself

Abstract

Genetic variants underlying life-threatening diseases, being unlikely to be transmitted to the next generation, are gradually and selectively eliminated from the population through negative selection. We study the determinants of this evolutionary process in human genes underlying monogenic diseases by comparing various negative selection scores and an integrative approach, CoNeS, at 366 loci underlying inborn errors of immunity (IEI). We find that genes underlying autosomal dominant (AD) or X-linked IEI have stronger negative selection scores than those underlying autosomal recessive (AR) IEI, whose scores are not different from those of genes not known to be disease causing. Nevertheless, genes underlying AR IEI that are lethal before reproductive maturity with complete penetrance have stronger negative selection scores than other genes underlying AR IEI. We also show that genes underlying AD IEI by loss of function have stronger negative selection scores than genes underlying AD IEI by gain of function, while genes underlying AD IEI by haploinsufficiency are under stronger negative selection than other genes underlying AD IEI. These results are replicated in 1,140 genes underlying inborn errors of neurodevelopment. Finally, we propose a supervised classifier, SCoNeS, which predicts better than state-of-the-art approaches whether a gene is more likely to underlie an AD or AR disease. The clinical outcomes of monogenic inborn errors, together with their mode and mechanisms of inheritance, determine the levels of negative selection at their corresponding loci. Integrating scores of negative selection may facilitate the prioritization of candidate genes and variants in patients suspected to carry an inborn error.

Indexed as

Genes, DominantGenes, RecessiveGenetic VariationHumansImmunityMetabolism, Inborn ErrorsSelection, Geneticevolutiongeneticsimmunodeficiencymethodselection

Identifiers

PMID33408250
PMCPMC7826345
OpenAlexW3120632747

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.