Evidence map›Paper›PMID 39245941›Full record

ArticleHGG advances2024

Joint genotype and ancestry analysis identify novel loci associated with atopic dermatitis in African American population.

Yadu Gautam, Latha Satish, Stephen Ramirez, Brittany Grashel, Jocelyn M Biagini, Lisa J Martin, Marc E Rothenberg, Gurjit K Khurana Hershey, Tesfaye B Mersha

Abstract read
In one paragraph

Article in HGG advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Update on the genetics of allergic diseases.The Journal of allergy and clinical immunology · 2025
    Review
  4. 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

9 authors.

Yadu GautamDivision of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
Latha SatishDivision of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
Stephen RamirezDivision of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
Brittany GrashelDivision of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
Jocelyn M BiaginiDivision of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
Lisa J MartinDivision of Human Genetics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
Marc E RothenbergDivision of Allergy and Immunology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
Gurjit K Khurana HersheyDivision of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
Tesfaye B MershaDivision of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA. Electronic address: tesfaye.mersha@cchmc.org.

Funding

TSLP, IL-9-producing mucosal mast cells, and allergic inflammationU19AI070235 · NIAID · CINCINNATI CHILDRENS HOSP MED CTR · PI Gurjit K. Khurana Hershey · 2006 to 2026
$31.3M
Epigenome-wide variations and socio-environmental exposures in African American asthmatic childrenR01HG011411 · NHGRI · CINCINNATI CHILDRENS HOSP MED CTR · PI MERSHA, TESFAYE B. · 2021 to 2025
$3.4M
NHGRI NIH HHS R01 HG011411NIAID NIH HHS U19 AI070235
6 · The paper itself

Abstract

Atopic dermatitis (AD) is a chronic itchy inflammatory disease of the skin. Genetic studies have identified multiple risk factors linked to the disease; however, most of the studies have been derived from European and East Asian populations. The admixed African American (AA) genome may provide an opportunity to discovery ancestry-specific loci involved in AD susceptibility. Herein, we present joint analysis of ancestry and genotype effects followed by validation using differential gene expression analysis on AD using 726 AD-affected individuals and 999 non-AD control individuals from the AA population, genotyped using Multi-Ethnic Global Array (MEGA) followed by imputation using the Consortium on Asthma among African Ancestry Populations in the Americas (CAAPA) reference panel. The joint analysis identified two novel AD-susceptibility loci, rs2195989 in gene ANGPT1 (8q23.1) and rs62538818 in the intergenic region between genes LURAP1L and MPDZ (9p23). Admixture mapping (AM) results showed potential genomic inflation, and we implemented genomic control and identified five ancestry-of-origin loci with European ancestry effects. The multi-omics functional prioritization of variants in AM signals prioritized the loci SLAIN2, RNF39, and FOXA2. Genome-wide association study (GWAS) identified variants significantly associated with AD in the AA population, including SGK1 (rs113357522, odds ratio [OR] = 2.81), EFR3A (rs16904552, OR = 1.725), and MMP14 (rs911912, OR = 1.791). GWAS variants were common in the AA but rare in the European population, which suggests an African-ancestry-specific risk of AD. Four genes (ANGPT1, LURAP1L, EFR3A, and SGK1) were further validated using qPCR from AD and healthy skin. This study highlighted the importance of genetic studies on admixed populations, as well as local ancestry and genotype-ancestry joint effects to identify risk loci for AD.

Indexed as

Black or African AmericanDermatitis, AtopicGenotypeCase-Control StudiesFemaleGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMalePolymorphism, Single Nucleotideadmixed populationadmixture mappingAfrican Americanatopic dermatitisfine mappinggenome-wide associationjoint analysislocal and global ancestry

Identifiers

PMID39245941
PMCPMC11470243

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LicenceCC BY-NC-ND
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.