Multi-Ancestry Genome-Wide Association Meta-Analysis Identifies Novel Loci in Atopic Dermatitis
Oliva, M.; Sankar, M. K.; March, M. E.; Saeidian, A. H.; Mentch, F. D.; Hsieh, C.-L.; Tang, F.; Uppala, R.; Patrick, M. T.; Qinmengge, L.; Bogle, R.; Kahlenberg, M.; Watson, D.; Glessner, J. T.; Tsoi, A.; Hakonarson, H.; Gudjonsson, J. E.; Smith, K. M.; Riley-Gillis, B.
Show abstract
Atopic dermatitis (AD) is a highly heritable and common inflammatory skin condition affecting children and adults worldwide. Multi-ancestry approaches to AD genetic association studies are poised to boost power to detect genetic signal and identify ancestry-specific loci contributing to AD risk. Here, we present a multi-ancestry GWAS meta-analysis of twelve AD cohorts from five ancestral populations totaling 56,146 cases and 602,280 controls. We report 101 genomic loci associated with AD, including 15 loci that have not been previously associated with AD or eczema. Fine-mapping, QTL colocalization, and cell-type enrichment analyses identified genes and cell types implicated in AD pathophysiology. Functional analyses in keratinocytes provide evidence for genes that could play a role in AD through epidermal barrier function. Our study provides new insights into the etiology of AD by harnessing multiple genetic and functional approaches to unveil the mechanisms by which AD-associated variants impact genes and cell types. Disclosure StatementBRG, MO, CH, KMS are employees of AbbVie. FT was an employee of AbbVie at the time of the study. JEG (University of Michigan) has received research support from AbbVie, Janssen, Almirall, Prometheus Biosciences/Merck, BMS/Celgene, Boehringer Ingelheim, Galderma, Eli Lilly, and advisor to Sanofi, Eli Lilly, Galderma, BMS, Boehringer Ingelheim. MKS, RU, MTP, QL, RW, JMK, LCT are employees of University of Michigan and have no funding to disclose. MEM, AHS, FDM, DW, JTG, HH are employees of the Childrens Hospital of Philadelphia and no funding to disclose. The design, study conduct, and financial support for this research were provided by AbbVie. AbbVie participated in the interpretation of data, review, and approval of the publication.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Genetics of the human microglia regulome refines Alzheimer’s disease risk loci 97%
- Atlas of genetic effects in human microglia transcriptome across brain regions, aging and disease pathologies 97%
- Spatial and single-nucleus transcriptomic analysis of genetic and sporadic forms of Alzheimer's Disease 96%
Similar papers in this journal
- Genetic and non-genetic factors affecting the expression of COVID-19 relevant genes in the large airway epithelium 94%
- The molecular impact of cigarette smoking resembles aging across tissues 94%
- DNA methylation memory of pancreatic acinar-ductal metaplasia transition state altering Kras-downstream PI3K and Rho GTPase signaling in the absence of Kras mutation 93%
Similar papers in this journal
- Interaction molecular QTL mapping discovers cellular and environmental modifiers of genetic regulatory effects 95%
- Brain eQTLs of European, African American, and Asian ancestry improve interpretation of schizophrenia GWAS 94%
- Non-Coding and Loss-of-Function Coding Variants in TET2 are Associated with Multiple Neurodegenerative Diseases 94%
Similar papers in this journal
- Mapping pQTLs of circulating inflammatory proteins identifies drivers of immune-related disease risk and novel therapeutic targets 95%
- A single cell and spatial genomics atlas of human skin fibroblasts in health and disease 95%
- A resource for generating and manipulating human microglial states in vitro 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.