Evidence map›Paper›PMID 35288711›Full record

ArticleNature genetics2022

Genetic associations at regulatory phenotypes improve fine-mapping of causal variants for 12 immune-mediated diseases.

Kousik Kundu, Manuel Tardaguila, Alice L Mann, Stephen Watt, Hannes Ponstingl, Louella Vasquez, Dominique Von Schiller, Nicholas W Morrell, Oliver Stegle, Tomi Pastinen and 4 more

Abstract read
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In one paragraph

Article in Nature genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 4 pooled it
14.6field-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

46 citing papers in PubMed, 4 syntheses or guidelines pooled it, 70 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

14 authors at 4 institutions in 4 countries.

Kousik KunduHuman Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0002-1019-8351
Manuel TardaguilaHuman Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Alice L MannHuman Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0003-2402-8545
Stephen WattHuman Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Hannes PonstinglHuman Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0001-7573-1703
Louella VasquezHuman Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Dominique Von SchillerHuman Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Nicholas W MorrellDivision of Respiratory Medicine, Department of Medicine, University of Cambridge School of Clinical Medicine, Addenbrooke's and Papworth Hospitals, Cambridge, UK.ORCID http://orcid.org/0000-0001-5700-9792
Oliver StegleGenome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-8818-7193
Tomi PastinenGenomic Medicine Center, Children's Mercy Kansas City and Children's Mercy Research Institute, Kansas City, MO, USA.
Stephen J SawcerDepartment of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.ORCID http://orcid.org/0000-0001-7685-0974
Carl A AndersonHuman Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Klaudia WalterHuman Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0003-4448-0301
Nicole SoranzoHuman Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK. ns6@sanger.ac.uk.ORCID http://orcid.org/0000-0003-1095-3852
Wellcome Sanger Institute · GBUniversity of Cambridge · GBGerman Cancer Research Center · DEMercy Research · US

Funding

British Heart FoundationCIHR EP1-120608Wellcome Trust
6 · The paper itself

Abstract

The resolution of causal genetic variants informs understanding of disease biology. We used regulatory quantitative trait loci (QTLs) from the BLUEPRINT, GTEx and eQTLGen projects to fine-map putative causal variants for 12 immune-mediated diseases. We identify 340 unique loci that colocalize with high posterior probability (≥98%) with regulatory QTLs and apply Bayesian frameworks to fine-map associations at each locus. We show that fine-mapping credible sets derived from regulatory QTLs are smaller compared to disease summary statistics. Further, they are enriched for more functionally interpretable candidate causal variants and for putatively causal insertion/deletion (INDEL) polymorphisms. Finally, we use massively parallel reporter assays to evaluate candidate causal variants at the ITGA4 locus associated with inflammatory bowel disease. Overall, our findings suggest that fine-mapping applied to disease-colocalizing regulatory QTLs can enhance the discovery of putative causal disease variants and enhance insights into the underlying causal genes and molecular mechanisms.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociBayes TheoremCausalityPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID35288711
OpenAlexW4221073172

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.