Evidence map›Paper›PMID 36648429›Full record

ArticleeLife2023

Relating pathogenic loss-of-function mutations in humans to their evolutionary fitness costs.

Ipsita Agarwal, Zachary L Fuller, Simon R Myers, Molly Przeworski

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
15.7field-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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  17. The distribution of highly deleterious variants across human ancestry groups.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

4 authors at 3 institutions in 2 countries.

Ipsita Agarwal *Department of Biological Sciences, Columbia University, New York, United States.ORCID 0000-0001-8537-0008
Zachary L Fuller *Department of Biological Sciences, Columbia University, New York, United States.ORCID 0000-0003-4765-9227
Simon R MyersDepartment of Statistics, University of Oxford, Oxford, United Kingdom.
Molly PrzeworskiDepartment of Biological Sciences, Columbia University, New York, United States.ORCID 0000-0002-5369-9009
Columbia University · USCentre for Human Genetics · GBUniversity of Oxford · GB

Funding

New methods for constructing and evaluating polygenic scoresR01HG011432 · NHGRI · STANFORD UNIVERSITY · PI PRITCHARD, JONATHAN K · 2020 to 2023
$3.3M
Natural selection in recent human evolutionR01GM121372 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PRZEWORSKI, MOLLY F · 2017 to 2020
$1.6M
Identifying human adaptations: theory and applicationsR01GM072861 · NIGMS · UNIVERSITY OF CHICAGO · PI PRZEWORSKI, MOLLY F · 2005 to 2009
$982k
Characterizing and Mapping Deleterious Mutations in HumansF32GM128318 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI FULLER, ZACHARY L · 2018 to 2020
$188k
NHGRI NIH HHS R01 HG011432NIGMS NIH HHS F32 GM128318NIGMS NIH HHS R01 GM072861NIGMS NIH HHS R01 GM121372NIH HHS GM121372NIH HHS GM128318NIH HHS HG011432Wellcome TrustWellcome Trust WT Investigator Award 212284/Z/18/Z
6 · The paper itself

Abstract

Causal loss-of-function (LOF) variants for Mendelian and severe complex diseases are enriched in 'mutation intolerant' genes. We show how such observations can be interpreted in light of a model of mutation-selection balance and use the model to relate the pathogenic consequences of LOF mutations at present to their evolutionary fitness effects. To this end, we first infer posterior distributions for the fitness costs of LOF mutations in 17,318 autosomal and 679 X-linked genes from exome sequences in 56,855 individuals. Estimated fitness costs for the loss of a gene copy are typically above 1%; they tend to be largest for X-linked genes, whether or not they have a Y homolog, followed by autosomal genes and genes in the pseudoautosomal region. We compare inferred fitness effects for all possible de novo LOF mutations to those of de novo mutations identified in individuals diagnosed with one of six severe, complex diseases or developmental disorders. Probands carry an excess of mutations with estimated fitness effects above 10%; as we show by simulation, when sampled in the population, such highly deleterious mutations are typically only a couple of generations old. Moreover, the proportion of highly deleterious mutations carried by probands reflects the typical age of onset of the disease. The study design also has a discernible influence: a greater proportion of highly deleterious mutations is detected in pedigree than case-control studies, and for autism, in simplex than multiplex families and in female versus male probands. Thus, anchoring observations in human genetics to a population genetic model allows us to learn about the fitness effects of mutations identified by different mapping strategies and for different traits.

Indexed as

Autistic DisorderLoss of Function MutationCase-Control StudiesFemaleHumansMaleMutationPhenotypedistribution of fitness effectsearly-onset diseaseevolutionary biologygeneticsgenomicshumanhuman geneticsloss-of-function mutationsnatural selectionX chromosome

Identifiers

PMID36648429
PMCPMC9937649
OpenAlexW4316928342

What OpenQuestion 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 OpenQuestion graph.