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肾病学研究中的全基因组关联研究。

Genome-wide association studies in nephrology research.

机构信息

Renal Division, University Hospital Freiburg, Germany.

出版信息

Am J Kidney Dis. 2010 Oct;56(4):743-58. doi: 10.1053/j.ajkd.2010.05.018. Epub 2010 Aug 21.

Abstract

Kidney diseases constitute a serious public health burden worldwide, with substantial associated morbidity and mortality. The role of a genetic contribution to kidney disease is supported by heritability studies of kidney function measures, the presence of monogenic diseases with renal manifestations, and familial aggregation studies of complex kidney diseases, such as chronic kidney disease. Because complex diseases arise from the combination of multiple genetic and environmental risk factors, the identification of underlying genetic susceptibility variants has been challenging. Recently, genome-wide association studies have emerged as a method to conduct searches for such susceptibility variants. They have successfully identified genomic loci that contain variants associated with kidney diseases and measures of kidney function. For example, common variants in the UMOD and PRKAG2 genes are associated with risk of chronic kidney disease; variants in CLDN14 with risk of kidney stone disease; and variants in or near SHROOM3, STC1, LASS2, GCKR, NAT8/ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, FAM122A/PIP5K1B, ATXN2, DACH1, UBE2Q2/FBXO22, and SLC7A9, with differences in glomerular filtration rate. The purpose of this review is to provide an overview of the genome-wide association study method as it relates to nephrology research and summarize recent findings in the field. Results from genome-wide association studies of renal phenotypes represent a first step toward improving our knowledge about underlying mechanisms of kidney function and disease and ultimately may aid in the improved treatment and prevention of kidney diseases.

摘要

肾脏疾病是全球范围内严重的公共卫生负担,与大量相关的发病率和死亡率有关。遗传因素对肾脏疾病的作用得到了肾功能测量的遗传研究、具有肾脏表现的单基因疾病的存在以及复杂肾脏疾病(如慢性肾脏病)家族聚集研究的支持。由于复杂疾病是由多种遗传和环境风险因素共同作用引起的,因此确定潜在的遗传易感性变异一直具有挑战性。最近,全基因组关联研究已成为寻找此类易感性变异的一种方法。它们已经成功地确定了包含与肾脏疾病和肾功能测量相关的变异的基因组位点。例如,UMOD 和 PRKAG2 基因中的常见变异与慢性肾脏病的风险相关;CLDN14 中的变异与肾结石病的风险相关;SHROOM3、STC1、LASS2、GCKR、NAT8/ALMS1、TFDP2、DAB2、SLC34A1、VEGFA、FAM122A/PIP5K1B、ATXN2、DACH1、UBE2Q2/FBXO22 和 SLC7A9 中的变异与肾小球滤过率的差异相关。本文的目的是概述全基因组关联研究方法与肾脏病学研究的关系,并总结该领域的最新发现。肾脏表型的全基因组关联研究结果代表了我们朝着更好地了解肾功能和疾病潜在机制迈出的第一步,最终可能有助于改善肾脏疾病的治疗和预防。

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