ArticleScientific reports2019
Understanding HLA associations from SNP summary association statistics.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- A genome-wide association study of high-sensitivity C-reactive protein in a large Korean population highlights its genetic relationship with cholesterol metabolism.Scientific reports · 2025Article
- Variation within the non-coding genome influences genetic and epigenetic regulation of the human leukocyte antigen genes.Frontiers in immunology · 2024Review
- Multiancestry analysis of the HLA locus in Alzheimer's and Parkinson's diseases uncovers a shared adaptive immune response mediated byProceedings of the National Academy of Sciences of the United States of America · 2023Article
- Genetic analysis of over half a million people characterises C-reactive protein loci.Nature communications · 2022Article
- Recent advances in understanding the genetic basis of systemic lupus erythematosus.Seminars in immunopathology · 2022Review
- HLA imputation and its application to genetic and molecular fine-mapping of the MHC region in autoimmune diseases.Seminars in immunopathology · 2022Review
- Trans-Ethnic Fine-Mapping of the Major Histocompatibility Complex Region Linked to Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2021Article
- Evaluation of methods for detecting human reads in microbial sequencing datasets.Microbial genomics · 2020Article
- Update on the Genetics of Systemic Lupus Erythematosus: Genome-Wide Association Studies and Beyond.Cells · 2019Review
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
Strong genetic associations in the region containing human leukocyte antigen (HLA) genes have been well-documented in various human immune disorders. Imputation methods to infer HLA variants from single nucleotide polymorphism (SNP) genotypes are currently used to understand HLA associations with a trait of interest. However, it is challenging for some researchers to obtain individual-level SNP genotype data or reference haplotype data. In this study, we developed and evaluated a new method, DISH (direct imputing summary association statistics of HLA variants), for imputing summary association statistics of HLA variants from SNP summary association statistics based on linkage disequilibria in Asian and European populations. Disease association Z scores in DISH were highly correlated with those from imputed HLA genotypes in null model datasets (r = 0.934 in Asians; r = 0.960 in Europeans). We applied DISH to two previous GWAS datasets in Asian systemic lupus erythematosus and European rheumatoid arthritis populations. There was a high correlation between Z scores in the DISH and HLA genotype imputations, showing the same disease-susceptible and protective alleles. This study illustrated the usefulness of the DISH method in understanding and identifying disease-associated HLA variants in human diseases while maintaining individual-level data security.
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