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遗传方法在功能性胃肠病中的应用。

Genetic approaches to functional gastrointestinal disorders.

机构信息

C.E.N.T.E.R., Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.

出版信息

Gastroenterology. 2010 Apr;138(4):1276-85. doi: 10.1053/j.gastro.2010.02.037. Epub 2010 Feb 19.

Abstract

Functional gastrointestinal disorders are complex symptom-based disorders without agreed upon biomarkers or pathophysiology. A better understanding of the genetic architecture of these disorders would help to better identify their complex biology and explain the common comorbidity with other disorders of persistent pain, mood, and affect, as well as possibly make it possible to identify subgroups of patients who respond to customized therapies. In contrast to monogenic diseases, polygenic diseases and traits are characterized by the contribution of common variants in a large number of genes, as well as environmental factors, to the vulnerability of an individual. Family and twin studies have clearly established a genetic component in irritable bowel syndrome. Although candidate gene studies have identified a few gene polymorphisms that may be correlated with the syndrome, small sample size, lack of reproducibility in large data sets, and the unreliability of the clinical phenotype require caution when extrapolating to a major role of any of the reported polymorphisms in the pathophysiology of irritable bowel syndrome. Future progress in this area will require better characterization of intermediate phenotypes with large effect size for the clinical phenotype, as well as consideration of gene-gene, environment-gene (epigenetics), and sex-gene interactions, genome-wide association, and whole genome sequencing approaches in large data sets.

摘要

功能性胃肠疾病是一种基于症状的复杂疾病,没有公认的生物标志物或病理生理学。更好地了解这些疾病的遗传结构将有助于更好地识别其复杂的生物学,并解释与其他持续性疼痛、情绪和情感障碍的常见共病,也可能使我们有可能识别出对定制治疗有反应的患者亚组。与单基因疾病不同,多基因疾病和特征的特点是大量基因中的常见变异以及环境因素对个体易感性的贡献。家庭和双胞胎研究清楚地确立了肠易激综合征的遗传成分。尽管候选基因研究已经确定了一些与该综合征相关的基因多态性,但样本量小、在大数据集中缺乏可重复性以及临床表型的不可靠性,在推断任何报告的多态性在肠易激综合征的病理生理学中起主要作用时需要谨慎。在这一领域的未来进展将需要更好地描述具有较大临床表型效应大小的中间表型,以及考虑基因-基因、环境-基因(表观遗传学)和性别-基因相互作用、全基因组关联和全基因组测序方法在大数据集中的应用。

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