Genome-Wide Association Study in Acute Tubulointerstitial Nephritis.

Xiao-Juan Yu, Li Yang, Hong Zhang, Chuan-Ming Hao, Nan Chen, Huji Xu, Su-Xia Wang, Gang Liu, Celine C Berthier, Matthew T Patrick, Lam C Tsoi, Swapan K Nath, Xu-Jie Zhou, Yang Liu, Gui Li, Jun-Wen Huang, Yan Jia, Gang Chen, Yong Hu, Li-Zhong Wang, Qiong-Hong Xie, Jingyuan Xie, Tao Su

Journal: Journal of the American Society of Nephrology : JASN 2023;34(5):895-908

PMID: 36749126

Abstract

SIGNIFICANCE STATEMENT

Polymorphisms of HLA genes may confer susceptibility to acute tubulointerstitial nephritis (ATIN), but small sample sizes and candidate gene design have hindered their investigation. The first genome-wide association study of ATIN identified two significant loci, risk haplotype DRB1*14-DQA1*0101-DQB1*0503 (DR14 serotype) and protective haplotype DRB1*1501-DQA1*0102-DQB1*0602 (DR15 serotype), with amino acid position 60 in the peptide-binding groove P10 of HLA-DR β 1 key. Risk alleles were shared among different causes of ATIN and HLA genotypes associated with kidney injury and immune therapy response. HLA alleles showed the strongest association. The findings suggest that a genetically conferred risk of immune dysregulation is part of the pathogenesis of ATIN.

BACKGROUND

Acute tubulointerstitial nephritis (ATIN) is a rare immune-related disease, accounting for approximately 10% of patients with unexplained AKI. Previous elucidation of the relationship between genetic factors that contribute to its pathogenesis was hampered because of small sample sizes and candidate gene design.

METHODS

We undertook the first two-stage genome-wide association study and meta-analysis involving 544 kidney biopsy-defined patients with ATIN and 2346 controls of Chinese ancestry. We conducted statistical fine-mapping analysis, provided functional annotations of significant variants, estimated single nucleotide polymorphism (SNP)-based heritability, and checked genotype and subphenotype correlations.

RESULTS

Two genome-wide significant loci, rs35087390 of HLA-DQA1 ( P =3.01×10 -39 ) on 6p21.32 and rs2417771 of PLEKHA5 on 12p12.3 ( P =2.14×10 -8 ), emerged from the analysis. HLA imputation using two reference panels suggested that HLA-DRB1*14 mainly drives the HLA risk association . HLA-DRB1 residue 60 belonging to pocket P10 was the key amino acid position. The SNP-based heritability estimates with and without the HLA locus were 20.43% and 10.35%, respectively. Different clinical subphenotypes (drug-related or tubulointerstitial nephritis and uveitis syndrome) seemed to share the same risk alleles. However, the HLA risk genotype was associated with disease severity and response rate to immunosuppressive therapy.

CONCLUSIONS

We identified two candidate genome regions associated with susceptibility to ATIN. The findings suggest that a genetically conferred risk of immune dysregulation is involved in the pathogenesis of ATIN.

Copyright © 2023 by the American Society of Nephrology.

Address: Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China.; Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China.; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing, China.; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; Division of Nephrology, Huashan Hospital, Fudan University, Shanghai, China.; WeGene, Shenzhen Zaozhidao Technology Co., Ltd., Shenzhen, China.; Human Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China.; Shenzhen WeGene Clinical Laboratory, Shenzhen, China.; Beijing Institute of Biotechnology, Beijing, China.; Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma.; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan.; Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan.; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.; Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, China.; Peking-Tsinghua Center for Life Sciences, Tsinghua University, Beijing, China.; School of Clinical Medicine, Tsinghua University, Beijing, China.
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