Evidence map›Paper›PMID 36410474›Full record

ArticleJournal of molecular biology2023

Mapping the Constrained Coding Regions in the Human Genome to Their Corresponding Proteins.

Marcia A Hasenahuer, Alba Sanchis-Juan, Roman A Laskowski, James A Baker, James D Stephenson, Christine A Orengo, F Lucy Raymond, Janet M Thornton

Abstract read
In one paragraph

Article in Journal of molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Marcia A HasenahuerEuropean Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK; Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, UK; Institute of Structural and Molecular Biology, University College London, London WC1E 6BT, UK. Electronic address: hasenahuer@ebi.ac.uk.
Alba Sanchis-JuanDepartment of Haematology, NHS Blood and Transplant Centre, University of Cambridge, Cambridge CB2 0XY, UK; NIHR BioResource, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. Electronic address: https://twitter.com/albasanchisjuan.
Roman A LaskowskiEuropean Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
James A BakerEuropean Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
James D StephensonEuropean Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
Christine A OrengoInstitute of Structural and Molecular Biology, University College London, London WC1E 6BT, UK.
F Lucy RaymondCambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, UK; NIHR BioResource, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
Janet M ThorntonEuropean Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.

Funding

Department of Health BRC-1215-200014Medical Research CouncilWellcome TrustWellcome Trust 221327/Z/20/Z
6 · The paper itself

Abstract

Constrained Coding Regions (CCRs) in the human genome have been derived from DNA sequencing data of large cohorts of healthy control populations, available in the Genome Aggregation Database (gnomAD) [1]. They identify regions depleted of protein-changing variants and thus identify segments of the genome that have been constrained during human evolution. By mapping these DNA-defined regions from genomic coordinates onto the corresponding protein positions and combining this information with protein annotations, we have explored the distribution of CCRs and compared their co-occurrence with different protein functional features, previously annotated at the amino acid level in public databases. As expected, our results reveal that functional amino acids involved in interactions with DNA/RNA, protein-protein contacts and catalytic sites are the protein features most likely to be highly constrained for variation in the control population. More surprisingly, we also found that linear motifs, linear interacting peptides (LIPs), disorder-order transitions upon binding with other protein partners and liquid-liquid phase separating (LLPS) regions are also strongly associated with high constraint for variability. We also compared intra-species constraints in the human CCRs with inter-species conservation and functional residues to explore how such CCRs may contribute to the analysis of protein variants. As has been previously observed, CCRs are only weakly correlated with conservation, suggesting that intraspecies constraints complement interspecies conservation and can provide more information to interpret variant effects.

Indexed as

Genome, HumanOpen Reading FramesProteinsBase SequenceChromosome MappingGenomicsHumansProteinsconstrained coding regionsdisease-related variantsliquid-liquid phase separationpopulation variabilityprotein functional features

Identifiers

PMID36410474
PMCPMC9875310

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Registered trials

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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.