Montgomery Grant W, Nyholt Dale R, Zhao Zhen Zhen, Treloar Susan A, Painter Jodie N, Missmer Stacey A, Kennedy Stephen H, Zondervan Krina T
Genetic and Molecular Epidemiology Laboratories, Queensland Institute of Medical Research, Royal Brisbane Hospital, 300 Herston Road, Brisbane, QLD 4029, Australia.
Hum Reprod Update. 2008 Sep-Oct;14(5):447-57. doi: 10.1093/humupd/dmn016. Epub 2008 Jun 5.
Genetic variation contributes to the risk of developing endometriosis. This review summarizes gene mapping studies in endometriosis and the prospects of finding gene pathways contributing to disease using the latest genome-wide strategies.
To identify candidate-gene association studies of endometriosis, a systematic literature search was conducted in PubMed of publications up to 1 April 2008, using the search terms 'endometriosis' plus 'allele' or 'polymorphism' or 'gene'. Papers included were those with information on both case and control selection, showed allelic and/or genotypic results for named germ-line polymorphisms and were published in the English language.
Genetic variants in 76 genes have been examined for association, but none shows convincing evidence of replication in multiple studies. There is evidence for genetic linkage to chromosomes 7 and 10, but the genes (or variants) in these regions contributing to disease risk have yet to be identified. Genome-wide association is a powerful method that has been successful in locating genetic variants contributing to a range of common diseases. Several groups are planning these studies in endometriosis. For this to be successful, the endometriosis research community must work together to genotype sufficient cases, using clearly defined disease classifications, and conduct the necessary replication studies in several thousands of cases and controls.
Genes with convincing evidence for association with endometriosis are likely to be identified in large genome-wide studies. This will provide a starting point for functional and biological studies to develop better diagnosis and treatment for this debilitating disease.
基因变异会增加患子宫内膜异位症的风险。本综述总结了子宫内膜异位症的基因定位研究,以及运用最新全基因组策略寻找导致该疾病的基因通路的前景。
为了确定子宫内膜异位症的候选基因关联研究,我们在PubMed中对截至2008年4月1日的出版物进行了系统的文献检索,检索词为“子宫内膜异位症”加上“等位基因”或“多态性”或“基因”。纳入的论文需包含病例和对照选择的信息,展示特定种系多态性的等位基因和/或基因型结果,且以英文发表。
已对76个基因中的遗传变异进行了关联检测,但在多项研究中均未发现有令人信服的复制证据。有证据表明与7号和10号染色体存在遗传连锁,但这些区域中导致疾病风险的基因(或变异)尚未确定。全基因组关联是一种强大的方法,已成功用于定位导致一系列常见疾病的遗传变异。多个研究小组正在计划针对子宫内膜异位症开展此类研究。要取得成功,子宫内膜异位症研究群体必须共同努力,使用明确界定的疾病分类对足够数量的病例进行基因分型,并在数千例病例和对照中进行必要的复制研究。
在大规模全基因组研究中可能会鉴定出与子宫内膜异位症有令人信服关联的基因。这将为功能和生物学研究提供一个起点,以便为这种使人衰弱的疾病开发更好的诊断和治疗方法。