Evidence map›Paper›PMID 34484189›Full record

ArticleFrontiers in immunology2021

Unravelling the Shared Genetic Mechanisms Underlying 18 Autoimmune Diseases Using a Systems Approach.

Sreemol Gokuladhas, William Schierding, Evgeniia Golovina, Tayaza Fadason, Justin O'Sullivan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  6. Potential impact of two functional variants in theCaspian journal of internal medicine · 2026
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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

5 authors at 3 institutions in 2 countries.

Sreemol GokuladhasLiggins Institute, The University of Auckland, Auckland, New Zealand.
William SchierdingLiggins Institute, The University of Auckland, Auckland, New Zealand.
Evgeniia GolovinaLiggins Institute, The University of Auckland, Auckland, New Zealand.
Tayaza FadasonLiggins Institute, The University of Auckland, Auckland, New Zealand.
Justin O'SullivanLiggins Institute, The University of Auckland, Auckland, New Zealand.
University of Auckland · NZMaurice Wilkins Centre · NZUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune diseases (AiDs) are complex heterogeneous diseases characterized by hyperactive immune responses against self. Genome-wide association studies have identified thousands of single nucleotide polymorphisms (SNPs) associated with several AiDs. While these studies have identified a handful of pleiotropic loci that confer risk to multiple AiDs, they lack the power to detect shared genetic factors residing outside of these loci. Here, we integrated chromatin contact, expression quantitative trait loci and protein-protein interaction (PPI) data to identify genes that are regulated by both pleiotropic and non-pleiotropic SNPs. The PPI analysis revealed complex interactions between the shared and disease-specific genes. Furthermore, pathway enrichment analysis demonstrated that the shared genes co-occur with disease-specific genes within the same biological pathways. In conclusion, our results are consistent with the hypothesis that genetic risk loci associated with multiple AiDs converge on a core set of biological processes that potentially contribute to the emergence of polyautoimmunity.

Indexed as

GenomicsPolymorphism, Single NucleotideSystems BiologyAutoimmune DiseasesAutoimmunityDatabases, GeneticGene Regulatory NetworksGenetic Predisposition to DiseaseHumansPhenotypeProtein Interaction MapsQuantitative Trait Locicancer pathwaysHLA moduleimmune pathwaysmultiple autoimmune diseasesnon-HLA moduleshared gene regulatory mechanisms

Identifiers

PMID34484189
PMCPMC8415031
OpenAlexW3195527362

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.