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Results for “HLA-DQ alpha-Chains”

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At least 19 recordsLinked to original sources
PubMed2025

Identification of Genetic Variations in HLA Region for Kidney Functions.

HLA allelic polymorphisms are associated with a variety of kidney-related traits in different populations. Although Taiwanese-specific genetic variants associated with kidney function have been reported, the role of HLA alleles is unclear. In this study, the association between eGFR and genetic variations in the HLA region was explored in a cohort of 59,448 Taiwanese subjects. A total of 448 genetic variations in the HLA region are significantly associated with eGFR. HLA-C*03 is associated with decreased eGFR, while HLA-DQA1*03, HLA-DQB1*03:03 and HLA-DQB1*03:03:02 demonstrated protective effects. Moreover, amino acid changes on HLA-C and HLA-DRB1 are significantly associated with eGFR. Finally, the eGFR-associated single nucleotide variations (SNVs) and insertions and deletions (indels) are enriched in the HLA-DQB1 gene. After conditional analysis, we identified two independent signals, including rs2853941, rs3830060. In summary, this study highlights the role of HLA-C, HLA-DQA1, HLA-DQB1 and HLA-DRB1 variations in kidney function in the Taiwan Han Chinese population.

Adult↗
PubMed2026

Distinct HLA Associations for Antibody Multireactivity With Citrulline-Containing Type II Collagen Epitopes Versus More Limited Antibody Reactivity With Citrulline-Containing IgG Epitopes in Rheumatoid Arthritis.

OBJECTIVE: Anticitrullinated protein antibodies (ACPAs) in rheumatoid arthritis (RA) can be promiscuous, with cross-reactive binding to many antigens containing short motifs, or private with little cross-reactivity. Also, ACPA reactivity patterns differ among patients with RA, including for motif-containing epitopes in important self-antigens like collagen and IgG (bound by RA-associated rheumatoid factors [RFs]), with limited understanding of the underlying mechanism. The objective of this study was to determine if HLA alleles associate with ACPA reactivity patterns. METHODS: For 100 ACPA+RF+ participants with RA, serum IgG binding was quantified by enzyme-linked immunosorbent assay to 10 citrulline-containing peptides derived from Type II collagen and IgG1 (nine with motifs), and HLA loci were genotyped. Also, antibody and serum multireactivity were evaluated. HLA alleles present differentially in RA participants with high versus low IgG binding to specific peptides, as well as with multireactivity versus limited reactivity were identified by Fisher's exact test. RESULTS: Serum IgG multireactivity for citrulline-glycine motif-containing collagen peptides was high, at least partially due to promiscuous antibodies. HLA-DQA1*01:02 was present in more participants with anticitrullinated collagen antibodies and multireactive sera. In contrast, serum multireactivity was low for IgG1-derived peptides due at least in part to more private antibodies. Shared epitope-containing HLA-DRB1*04:01 was present more frequently in participants with RA-associated RFs irrespective of the citrulline-serine motif and less frequently in participants with anticitrullinated collagen antibodies. Several HLA alleles associated with specific antibody reactivities. CONCLUSION: Different HLA alleles may contribute to the different reactivity patterns of promiscuous anticitrullinated collagen antibodies and more private RA-associated RFs.

Humans↗
PubMed2026

HLA and non-HLA genetic analyses reveal suggestive variants associated with statin-induced liver injury.

BACKGROUND: Statins are widely prescribed for cardiovascular risk reduction and are generally well tolerated. However, they can cause drug-induced liver injury (DILI), and the genetic factors contributing to statin-DILI remain poorly understood. METHODS: HLA association and genome-wide association (GWAS) studies were conducted to identify genetic variants associated with statin-DILI. High-confidence cases (n=71) were identified from the Drug-Induced Liver Injury Network (DILIN) and compared with statin-exposed controls without liver injury (n=551) from the Indiana Biobank. Association testing was performed across ancestries and within ancestry, adjusting for age, sex, and three principal components of genotypes. Top variants were further evaluated in non-statin DILI cases and unexposed controls. In addition, we investigated the frequency of candidate variants among a comprehensive list of pharmacogenetic variants related to statins. RESULTS: HLA-DQA1*03:01 was significantly associated with increased risk of statin-DILI (OR=3.49, 95% CI 2.21-5.51, p-value=1.27&#xd7;10-7), with enrichment observed across multiple ancestry groups, particularly non-Hispanic Black and Hispanic individuals. From the GWAS, three loci showed suggestive associations (p-value <5&#xd7;10-06) with statin-DILI, including rs35197737 in RGS1 (OR=5.03, 95% CI 1.11-3.66, p=1.14&#xd7;10-7), rs75629598 in FRMD4A (OR=4.4, 95% CI=2.33-8.12, p=3.97&#xd7;10-6), and rs7658630 in the intergenic region on chromosome 4 (OR=4.86, 95% CI 2.66-8.85, p=2.68&#xd7;10-7). No pharmacogenetic variants revealed statistical significance. CONCLUSION: We identified HLA and non-HLA genetic variants associated with statin DILI. Future studies with larger sample sizes should confirm these observations.

Humans↗
PubMed2025

Evaluating the Antigen and Eplet Accuracy of DQA1 Imputations With the HaploSFHI Two-Field HLA Typing Inference Tool.

Donor/recipient mismatched HLA antigens can lead to the production of Donor-Specific Antibodies by the recipient, which are deleterious to organ transplants. The HLA-DQ locus is the most frequent target, with both the DQ beta and alpha chains involved. For deceased donors in particular, while HLA-DQB1 has been typed in emergencies for a long time, HLA-DQA1 has only recently been included. No imputation algorithmic tool was available to impute HLA-DQA1 until the development of HaploSFHI, trained on 61,393 two-field typings by NGS methods. We evaluated the accuracy of two-field HLA-DQA1 imputation from serological and two-field level HLA-A, B, DRB1, and DQB1 typings. We report a highly accurate two-field HLA-DQA1 prediction using a French test cohort of 7696 individuals, respectively reaching 92.30% and 96.45% accuracy. The average 'False Positive eplet load' stood at 0.19 and 0.07, respectively, and the average 'False Negative eplet load' at 0.18 and 0.08, respectively. A similar performance was obtained on three independent test cohorts of European ancestry (from the USA, the UK, and Portugal). Interestingly, performance was only slightly inferior on five independent test cohorts of other ethnicities (from Hong Kong and the USA) whereas it was significantly lower for two-field DRB1 imputation from its serological level. These results suggest that DQA1 can reliably be imputed even when information is totally missing, with low error risk at both antigen and eplet levels, even if the reference population is not matched. Similar additional initiatives would be welcome to confirm these findings.

Humans↗