Evidence map›Paper›PMID 36400766›Full record

ArticleNature communications2022

Prioritizing autoimmunity risk variants for functional analyses by fine-mapping mutations under natural selection.

Vasili Pankratov, Milyausha Yunusbaeva, Sergei Ryakhovsky, Maksym Zarodniuk, Estonian Biobank Research Team, Bayazit Yunusbayev

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Vasili Pankratov *University of Tartu, Institute of Genomics, Centre for Genomics, Evolution and Medicine, Tartu, 51010, Estonia.ORCID 0000-0001-7928-4402
Milyausha Yunusbaeva *ITMO University, SCAMT Institute, Saint-Petersburg, 191002, Russia.ORCID 0000-0001-7729-7699
Sergei RyakhovskyITMO University, SCAMT Institute, Saint-Petersburg, 191002, Russia.ORCID 0000-0001-5517-0283
Maksym ZarodniukUniversity of Tartu, Institute of Bio- and Translational Medicine, Tartu, 50411, Estonia.ORCID 0000-0002-3953-315X
Estonian Biobank Research Team
Bayazit YunusbayevUniversity of Tartu, Institute of Genomics, Centre for Genomics, Evolution and Medicine, Tartu, 51010, Estonia. yunusbb@gmail.com.ORCID 0000-0002-6035-8763
University of Tartu · EEITMO University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogen-driven selection shaped adaptive mutations in immunity genes, including those contributing to inflammatory disorders. Functional characterization of such adaptive variants can shed light on disease biology and past adaptations. This popular idea, however, was difficult to test due to challenges in pinpointing adaptive mutations in selection footprints. In this study, using a local-tree-based approach, we show that 28% of risk loci (153/535) in 21 inflammatory disorders bear footprints of moderate and weak selection, and part of them are population specific. Weak selection footprints allow partial fine-mapping, and we show that in 19% (29/153) of the risk loci under selection, candidate disease variants are hitchhikers, and only in 39% of cases they are likely selection targets. We predict function for a subset of these selected SNPs and highlight examples of antagonistic pleiotropy. We conclude by offering disease variants under selection that can be tested functionally using infectious agents and other stressors to decipher the poorly understood link between environmental stressors and genetic risk in inflammatory conditions.

Indexed as

AutoimmunitySelection, GeneticAdaptation, PhysiologicalMutationPolymorphism, Single Nucleotide

Identifiers

PMID36400766
PMCPMC9674589
OpenAlexW4309563491

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.