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      Phenomic landscape and pharmacogenomic implications for HLA region in a Taiwan Han Chinese population

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          Abstract

          Background

          The human leukocyte antigen (HLA) genes, exhibiting significant genetic diversity, are associated with susceptibility to various clinical diseases and diverse in drug responses. High costs of HLA sequencing and the population-specific architecture of this genetic region necessitate the establishment of a population-specific HLA imputation reference panel. Moreover, there is a lack of understanding about the genetic and phenotypic landscape of HLA variations within the Taiwanese population.

          Methods

          We created models for a Taiwanese-specific HLA imputation reference panel. These models were trained with the array genotype data and HLA sequencing data from 845 Taiwanese subjects. HLA imputation was applied for 59,448 Taiwanese subjects to characterize the HLA allele and haplotype frequencies. Additionally, a phenome-wide association study (PheWAS) was conducted to identify the phenotypes associated with HLA variations. The association of the biallelic HLA variants with the binary and quantitative traits were evaluated with additive logistic and linear regression models, respectively. Furthermore, an omnibus test with likelihood-ratio test was applied for each HLA amino acid position in the multiallelic HLA amino acid polymorphisms to compare the difference between a fitted model and a null model following a χ2 distribution of n-1 degree of freedom at a position with n residues. Finally, we estimated the prevalence of adverse drug reactions (ADR)-related HLA alleles in the Taiwanese population.

          Results

          In this study, the reference panel models displayed remarkable accuracy, with averages of 99.3%, 98.9%, and 99.1% for 2-, 4-, 6-digit alleles of the eight classical HLA genes, respectively. For PheWAS, a total of 18,136 significant associations with HLA variants across 26 phenotypes are identified ( p < 5×10 -8), highlighting the pleiotropy feature of the HLA region. Among the independent signals, 15 are novel, including the association of HLA-B pos 138 variation with ankylosing spondylitis (AS), and rs9266290 and rs9266292 with allergy. Through an analysis spanning the entire HLA region, we identified clusters of phenotype correlations. Finally, the carriers of pharmacogenomic related HLA alleles, including HLA-C*01:02 (35.86%), HLA-B*58:01 (20.9%), and HLA-B*15:02 (8.38%), were characterized in the Taiwanese general population.

          Conclusions

          We successfully delivered the HLA imputation for 59,448 Taiwanese subjects and characterized the genetic and phenotypic landscapes of the HLA variations. In addition, we quantified the estimated prevalence of the ADR-related HLA alleles in the Taiwanese population. The developed HLA imputation reference panel could be used for estimation of population HLA allele frequencies, which can facilitate further studies in the role of HLA variants in a wider range of phenotypes in the population.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40364-024-00591-z.

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          Most cited references84

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          ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data

          High-throughput sequencing platforms are generating massive amounts of genetic variation data for diverse genomes, but it remains a challenge to pinpoint a small subset of functionally important variants. To fill these unmet needs, we developed the ANNOVAR tool to annotate single nucleotide variants (SNVs) and insertions/deletions, such as examining their functional consequence on genes, inferring cytogenetic bands, reporting functional importance scores, finding variants in conserved regions, or identifying variants reported in the 1000 Genomes Project and dbSNP. ANNOVAR can utilize annotation databases from the UCSC Genome Browser or any annotation data set conforming to Generic Feature Format version 3 (GFF3). We also illustrate a ‘variants reduction’ protocol on 4.7 million SNVs and indels from a human genome, including two causal mutations for Miller syndrome, a rare recessive disease. Through a stepwise procedure, we excluded variants that are unlikely to be causal, and identified 20 candidate genes including the causal gene. Using a desktop computer, ANNOVAR requires ∼4 min to perform gene-based annotation and ∼15 min to perform variants reduction on 4.7 million variants, making it practical to handle hundreds of human genomes in a day. ANNOVAR is freely available at http://www.openbioinformatics.org/annovar/ .
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            Benefits and limitations of genome-wide association studies

            Genome-wide association studies (GWAS) involve testing genetic variants across the genomes of many individuals to identify genotype-phenotype associations. GWAS have revolutionized the field of complex disease genetics over the past decade, providing numerous compelling associations for human complex traits and diseases. Despite clear successes in identifying novel disease susceptibility genes and biological pathways and in translating these findings into clinical care, GWAS have not been without controversy. Prominent criticisms include concerns that GWAS will eventually implicate the entire genome in disease predisposition and that most association signals reflect variants and genes with no direct biological relevance to disease. In this Review, we comprehensively assess the benefits and limitations of GWAS in human populations and discuss the relevance of performing more GWAS.
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              Computationally efficient whole-genome regression for quantitative and binary traits

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                Author and article information

                Contributors
                wcc@tmu.edu.tw
                Journal
                Biomark Res
                Biomark Res
                Biomarker Research
                BioMed Central (London )
                2050-7771
                3 May 2024
                3 May 2024
                2024
                : 12
                : 46
                Affiliations
                [1 ]Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, ( https://ror.org/05031qk94) Taipei, Taiwan
                [2 ]Institute of Biomedical Sciences, Academia Sinica, ( https://ror.org/05bxb3784) Taipei, Taiwan
                [3 ]Master Program in Clinical Genomics and Proteomics, School of Pharmacy, Taipei Medical University, ( https://ror.org/05031qk94) Taipei, Taiwan
                [4 ]GRID grid.416930.9, ISNI 0000 0004 0639 4389, Integrative Research Center for Critical Care, , Wan Fang Hospital, Taipei Medical University, ; Taipei, Taiwan
                [5 ]GRID grid.416930.9, ISNI 0000 0004 0639 4389, Department of Pharmacy, , Wan Fang Hospital, Taipei Medical University, ; Taipei, Taiwan
                [6 ]Department of Pharmacology, National Defense Medical Center, ( https://ror.org/02bn97g32) Taipei, Taiwan
                Article
                591
                10.1186/s40364-024-00591-z
                11067262
                38702819
                277d8d8f-2c54-4276-874b-a82521360b4c
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 10 January 2024
                : 18 April 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010002, Ministry of Education;
                Award ID: DP2-TMU-112-T-06
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100020595, National Science and Technology Council;
                Award ID: NSTC112-2320-B-038-026-MY3
                Award Recipient :
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                © Yumed Inc. and BioMed Central Ltd., part of Springer Nature 2024

                human leukocyte antigen,hla,major histocompatibility complex,mhc,phenome-wide association study

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