Genetic epidemiology in kidney disease

被引:7
|
作者
Ainsworth, Hannah C. [1 ,2 ]
Langefeld, Carl D. [1 ,2 ]
Freedman, Barry I. [2 ,3 ]
机构
[1] Wake Forest Sch Med, Div Publ Hlth Sci, Dept Biostat Sci, 525 Vine St, Winston Salem, NC 27101 USA
[2] Wake Forest Sch Med, Ctr Publ Hlth Genom, Winston Salem, NC 27101 USA
[3] Wake Forest Sch Med, Sect Nephrol, Dept Internal Med, Med Ctr Blvd, Winston Salem, NC 27157 USA
基金
美国国家卫生研究院;
关键词
admixture mapping; chronic kidney disease; genetics; genome-wide association study; linkage analysis; GENOME-WIDE ASSOCIATION; STAGE RENAL-DISEASE; DIABETIC-NEPHROPATHY; AFRICAN-AMERICANS; DNA HYPERMETHYLATION; SUSCEPTIBILITY LOCI; IGA NEPHROPATHY; RISK; EXPRESSION; APOL1;
D O I
10.1093/ndt/gfw270
中图分类号
R3 [基础医学]; R4 [临床医学];
学科分类号
1001 ; 1002 ; 100602 ;
摘要
Familial aggregation of chronic kidney disease and its component phenotypes-reduced glomerular filtration rate, proteinuria and renal histologic changes-has long been recognized. Rates of severe kidney disease are also known to differ markedly between populations based on ancestry. These epidemiologic observations support the existence of nephropathy susceptibility genes. Several molecular genetic technologies are now available to identify causative loci. The present article summarizes available strategies useful for identifying nephropathy susceptibility genes, including candidate gene association, family-based linkage, genome-wide association and admixture mapping (mapping by admixture linkage disequilibrium) approaches. Examples of loci detected using these techniques are provided. Epigenetic studies and future directions are also discussed. The identification of nephropathy susceptibility genes, coupled with modifiable environmental triggers impacting their function, is likely to improve risk prediction and transform care. Development of novel therapies to prevent progression of kidney disease will follow.
引用
收藏
页码:159 / 169
页数:11
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