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基因在终末期肾病发生发展中与……相互作用:一项全基因组关联研究。 (注:原句中“interacts with”后面缺少具体内容)

gene interacts with in the development of end-stage kidney disease: A genome-wide association study.

作者信息

Chaudhary Ninad S, Armstrong Nicole D, Hidalgo Bertha A, Gutiérrez Orlando M, Hellwege Jacklyn N, Limdi Nita A, Reynolds Richard J, Judd Suzanne E, Nadkarni Girish N, Lange Leslie, Winkler Cheryl A, Kopp Jeffrey B, Arnett Donna K, Tiwari Hemant K, Irvin Marguerite R

机构信息

Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, United States.

Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, United States.

出版信息

Front Med (Lausanne). 2022 Sep 28;9:971297. doi: 10.3389/fmed.2022.971297. eCollection 2022.

Abstract

BACKGROUND

Some but not all African-Americans (AA) who carry nephropathy risk variants () develop kidney failure (end-stage kidney disease, ESKD). To identify genetic modifiers, we assessed gene-gene interactions in a large prospective cohort of the REasons for Geographic and Racial Differences in Stroke (REGARDS) study.

METHODS

Genotypes from 8,074 AA participants were obtained from Illumina Infinium Multi-Ethnic AMR/AFR Extended BeadChip. We compared 388 incident ESKD cases with 7,686 non-ESKD controls, using a two-locus interaction approach. Logistic regression was used to examine the effect of risk status (using recessive and additive models), single nucleotide polymorphism (SNP), and 1SNP interaction on incident ESKD, adjusting for age, sex, and ancestry. SNP interactions that met the threshold of 1.0 × 10 were replicated in the Genetics of Hypertension Associated Treatment (GenHAT) study (626 ESKD cases and 6,165 controls). In a sensitivity analysis, models were additionally adjusted for diabetes status. We conducted additional replication in the BioVU study.

RESULTS

Two risk alleles prevalence (recessive model) was similar in the REGARDS and GenHAT studies. Only one -SNP interaction, for on chromosome 10, ~10 KB from the gene met the genome-wide statistical threshold ( = 3.4 × 10), but this interaction was not replicated in the GenHAT study. Among other relevant top findings (with < 1.0 × 10), a variant () near on chromosome six interacted with risk status (additive) on ESKD outcomes (REGARDS study, =5.3 × 10) but the association was not replicated (GenHAT study, = 0.07, BioVU study, = 0.53). The association with the locus near persisted further in stratified analyses. Among those who inherited ≥1 alternate allele of rs2181251, was associated with an increased risk of incident ESKD (OR [95%CI] = 2.27[1.53, 3.37]) but was not associated with ESKD in the absence of the alternate allele (OR [95%CI] = 1.34[0.96, 1.85]) in the REGARDS study. The associations were consistent after adjusting for diabetes.

CONCLUSION

In a large genome-wide association study of AAs, a locus exhibited a significant interaction with the locus. contributes to the progression of fibrosis after kidney injury and the interaction with variants may contribute to an explanation for why only some high-risk individuals develop ESKD.

摘要

背景

一些但并非所有携带肾病风险变异的非裔美国人(AA)会发展为肾衰竭(终末期肾病,ESKD)。为了识别基因修饰因子,我们在一项大型前瞻性队列研究“中风地理和种族差异原因(REGARDS)研究”中评估了基因-基因相互作用。

方法

从Illumina Infinium多民族AMR/AFR扩展芯片获得了8074名AA参与者的基因型。我们使用双位点相互作用方法,将388例ESKD发病病例与7686例非ESKD对照进行比较。使用逻辑回归来检验肾病风险状态(使用隐性和加性模型)、单核苷酸多态性(SNP)以及1个SNP相互作用对ESKD发病的影响,并对年龄、性别和血统进行调整。在高血压相关治疗遗传学(GenHAT)研究(626例ESKD病例和6165例对照)中对达到1.0×10阈值的SNP相互作用进行了重复验证。在敏感性分析中,模型还对糖尿病状态进行了调整。我们在BioVU研究中进行了额外的重复验证。

结果

REGARDS研究和GenHAT研究中两个肾病风险等位基因的患病率(隐性模型)相似。只有位于10号染色体上、距相关基因约10KB的一个相关SNP相互作用达到全基因组统计阈值(P = 3.4×10),但该相互作用在GenHAT研究中未得到重复验证。在其他相关的重要发现(P < 1.0×10)中,6号染色体上靠近相关基因的一个变异与肾病风险状态(加性)对ESKD结局存在相互作用(REGARDS研究,P = 见5.3×10),但该关联未得到重复验证(GenHAT研究,P = 0.07,BioVU研究,P = 0.53)。在分层分析中,与相关基因座附近的关联进一步持续存在。在REGARDS研究中,那些遗传了≥1个rs2181251替代等位基因的个体中,相关基因与ESKD发病风险增加相关(OR[95%CI]=2.27[1.53, 3.37]),但在没有替代等位基因的情况下,相关基因与ESKD无关(OR[95%CI]=1.34[0.96, 1.85])。调整糖尿病因素后,这些关联仍然一致。

结论

在一项针对非裔美国人的大型全基因组关联研究中,一个基因座与相关基因座表现出显著的相互作用。相关基因有助于肾损伤后纤维化的进展,与相关变异的相互作用可能有助于解释为什么只有一些高风险个体发展为ESKD。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79f0/9554233/2c961ea79c00/fmed-09-971297-g0001.jpg

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