Evidence map›Paper›PMID 35794153›Full record

ArticleNature communications2022

Loss-of-function, gain-of-function and dominant-negative mutations have profoundly different effects on protein structure.

Lukas Gerasimavicius, Benjamin J Livesey, Joseph A Marsh

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers.

0numbers the graph read from it
0cells of the map it votes in
180citing papers in PubMed
51.8field-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

180 citing papers in PubMed, 289 citations in OpenAlex.

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  17. Functional dissection ofProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  20. Preserved bone mineral density in autosomal dominant SP7-related osteogenesis imperfecta: a case report of the p.Glu340Ala variant.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article

120 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

3 authors at 1 institution in 1 country.

Lukas GerasimaviciusMRC Human Genetics Unit, Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-6874-3850
Benjamin J LiveseyMRC Human Genetics Unit, Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-6866-1452
Joseph A MarshMRC Human Genetics Unit, Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, UK. joseph.marsh@ed.ac.uk.ORCID 0000-0003-4132-0628
Institute of Genetics and Cancer · GB

Funding

Medical Research Council MR/M02122X/1
6 · The paper itself

Abstract

Most known pathogenic mutations occur in protein-coding regions of DNA and change the way proteins are made. Taking protein structure into account has therefore provided great insight into the molecular mechanisms underlying human genetic disease. While there has been much focus on how mutations can disrupt protein structure and thus cause a loss of function (LOF), alternative mechanisms, specifically dominant-negative (DN) and gain-of-function (GOF) effects, are less understood. Here, we investigate the protein-level effects of pathogenic missense mutations associated with different molecular mechanisms. We observe striking differences between recessive vs dominant, and LOF vs non-LOF mutations, with dominant, non-LOF disease mutations having much milder effects on protein structure, and DN mutations being highly enriched at protein interfaces. We also find that nearly all computational variant effect predictors, even those based solely on sequence conservation, underperform on non-LOF mutations. However, we do show that non-LOF mutations could potentially be identified by their tendency to cluster in three-dimensional space. Overall, our work suggests that many pathogenic mutations that act via DN and GOF mechanisms are likely being missed by current variant prioritisation strategies, but that there is considerable scope to improve computational predictions through consideration of molecular disease mechanisms.

Indexed as

Gain of Function MutationMutation, MissenseHumansMutationOpen Reading Frames

Identifiers

PMID35794153
PMCPMC9259657
OpenAlexW4284881539

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.