Evidence map›Paper›PMID 38390497›Full record

ArticleEuropean journal of respiratory medicine2023

Examination of eQTL Polymorphisms Associated with Increased Risk of Progressive Complicated Sarcoidosis in European and African Descent Subjects.

Nancy G Casanova, Sara M Camp, Manuel L Gonzalez-Garay, Ken Batai, Lori Garman, Courtney G Montgomery, Nathan Ellis, Rick Kittles, Christian Bime, Amy P Hsu and 9 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of respiratory medicine, 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
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

19 authors at 12 institutions in 1 country.

Nancy G CasanovaDepartment of Molecular Medicine, Univeristy of Florida, Scripps, Jupiter FL, USA.
Sara M CampCenter for Inflammation Science and Systems Medicine, University of Florida, Wertheim Scripps Research Institute, Jupiter FL, USA.
Manuel L Gonzalez-GarayDivision of Health Equities, Department of Population Sciences, City of Hope, Duarte, California, USA.
Ken BataiCancer Prevention & Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Lori GarmanOklahoma Medical Research Foundation, Oklahoma City, OK, USA.
Courtney G MontgomeryOklahoma Medical Research Foundation, Oklahoma City, OK, USA.
Nathan EllisUniversity of Arizona Cancer Center, Tucson, AZ, USA.
Rick KittlesDivision of Health Equities, Department of Population Sciences, City of Hope, Duarte, California, USA.
Christian BimeDepartment of Medicine University of Arizona, Tucson, AZ, USA.
Amy P HsuNational Institute of Allergy and Infectious Diseases. National Institutes of Health, USA.
Steven HollandNational Institute of Allergy and Infectious Diseases. National Institutes of Health, USA.
Yves A LussierDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Jason KarnesDepartment of Pharmacology, University of Arizona, College of Pharmacy, Tucson, AZ, USA.
Nadera SweissDepartment of Medicine University of Illinois, Chicago, IL, USA.
Lisa A MaierDepartment of Medicine National Jewish Health, University of Colorado, Denver, CO, USA.
Laura KothDepartment of Medicine University of California San Francisco, San Francisco, CA, US, USA.
David R MollerDepartment of Medicine Johns Hopkins University School of Medicine, Baltimore Maryland, USA.
Naftali KaminskiDepartment of Medicine Yale University School of Medicine, New Haven, CT, USA.
Joe G N GarciaCenter for Inflammation Science and Systems Medicine, University of Florida, Wertheim Scripps Research Institute, Jupiter FL, USA.
Scripps Research Institute · USUniversity of Arizona · USCity of Hope · USNational Institute of Allergy and Infectious Diseases · USOklahoma Medical Research Foundation · USIllinois College · USJohns Hopkins University · USNational Jewish Health · USRoswell Park Comprehensive Cancer Center · USUniversity of California, San Francisco · USUniversity of Utah · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Comprehensive Genome Interrogation of African American Sarcoidosis FamiliesR01HL113326 · NHLBI · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI MONTGOMERY, COURTNEY · 2012 to 2022
$8.7M
The Impact of Environmental Exposures on Sarcoidosis Incidence and MortalityR01HL157533 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Wonder P. Drake, Connie C. W. Hsia · 2022 to 2026
$5.7M
Genomic Phenotyping and Mechanisms in sarcoidosis and AATU01HL112696 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GARCIA, JOE G. N., KOTH, LAURA L · 2012 to 2014
$470k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL113326NHLBI NIH HHS R01 HL157533NHLBI NIH HHS U01 HL112696
6 · The paper itself

Abstract

Background: A limited pool of SNPs are linked to the development and severity of sarcoidosis, a systemic granulomatous inflammatory disease. By integrating genome-wide association studies (GWAS) data and expression quantitative trait loci (eQTL) single nuclear polymorphisms (SNPs), we aimed to identify novel sarcoidosis SNPs potentially influencing the development of complicated sarcoidosis. Methods: A GWAS (Affymetrix 6.0) involving 209 African-American (AA) and 193 European-American (EA, 75 and 51 complicated cases respectively) and publicly-available GWAS controls (GAIN) was utilized. Annotation of multi-tissue eQTL SNPs present on the GWAS created a pool of ~46,000 eQTL SNPs examined for association with sarcoidosis risk and severity (Logistic Model, Plink). The most significant EA/AA eQTL SNPs were genotyped in a sarcoidosis validation cohort (n=1034) and cross-validated in two independent GWAS cohorts. Results: No single GWAS SNP achieved significance (p<1x10-8), however, analysis of the eQTL/GWAS SNP pool yielded 621 eQTL SNPs (p<10-4) associated with 730 genes that highlighted innate immunity, MHC Class II, and allograft rejection pathways with multiple SNPs validated in an independent sarcoidosis cohort (105 SNPs analyzed) (NOTCH4, IL27RA, BTNL2, ANXA11, HLA-DRB1). These studies confirm significant association of eQTL/GWAS SNPs in EAs and AAs with sarcoidosis risk and severity (complicated sarcoidosis) involving HLA region and innate immunity. Conclusion: Despite the challenge of deciphering the genetic basis for sarcoidosis risk/severity, these results suggest that integrated eQTL/GWAS approaches may identify novel variants/genes and support the contribution of dysregulated innate immune responses to sarcoidosis severity.

Indexed as

expression quantitative trait loci (eQTL)GWASpolymorphismSarcoidosisSNPs

Identifiers

PMID38390497
PMCPMC10883688
OpenAlexW4394760180

What OpenQuestion holds

Textmetadata
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.