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乳糜泻:从遗传关联到因果变异。

Celiac disease: moving from genetic associations to causal variants.

机构信息

Department of Genetics, University Medical Center Groningen and University of Groningen, Groningen, The Netherlands.

出版信息

Clin Genet. 2011 Sep;80(3):203-313. doi: 10.1111/j.1399-0004.2011.01707.x. Epub 2011 Jun 13.

Abstract

Genome-wide association studies are providing insight into the genetic basis of common complex diseases: more than 1150 genetic loci [2165 unique single nucleotide polymorphisms (SNPs)] have recently been associated to 159 complex diseases. The hunt for genes contributing to immune-related diseases has been particularly successful in celiac disease, for example, with 27 genome-wide significantly associated loci identified so far. One of the current challenges is how to move from a genetic association with a disease to finding disease-associated genes and causal variants, as a step towards understanding the underlying disease process. About 50% of disease-associated SNPs affect the expression of nearby genes (so-called expression quantitative traits loci or eQTLs) and these can provide clues for finding causal variants. Although eQTLs can be useful, fine mapping and sequencing are required to refine the association signal. Ultimately, sophisticated study designs will be needed to find the causal variants involved in complex diseases. In this review, we use celiac disease as an example to describe the different aspects that need to be considered on the path from genetic association to disease-causing variants.

摘要

全基因组关联研究为常见复杂疾病的遗传基础提供了深入了解

最近已有超过 1150 个遗传位点[2165 个独特的单核苷酸多态性(SNPs)]与 159 种复杂疾病相关联。在乳糜泻等与免疫相关的疾病中,寻找致病基因的工作特别成功,迄今为止已确定了 27 个全基因组显著相关的位点。目前的挑战之一是如何从与疾病的遗传关联转变为寻找与疾病相关的基因和因果变异,从而深入了解潜在的疾病过程。大约 50%的与疾病相关的 SNP 会影响附近基因的表达(所谓的表达数量性状基因座或 eQTLs),这些可以为寻找因果变异提供线索。虽然 eQTLs 可能很有用,但需要精细映射和测序来细化关联信号。最终,需要复杂的研究设计来找到涉及复杂疾病的因果变异。在这篇综述中,我们以乳糜泻为例,描述了从遗传关联到致病变异的路径上需要考虑的不同方面。

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