Forabosco Paola, Neuhausen Susan L, Greco Luigi, Naluai Asa Torinsson, Wijmenga Cisca, Saavalainen Paivi, Houlston Richard S, Ciclitira Paul J, Babron Marie-Claude, Lewis Cathryn M
King's College London, Department of Medical and Molecular Genetics, London, UK.
Hum Hered. 2009;68(4):223-30. doi: 10.1159/000228920. Epub 2009 Jul 22.
A meta-analysis of genome-wide linkage studies allows us to summarize the extensive information available from family-based studies, as the field moves into genome-wide association studies.
Here we apply the genome scan meta-analysis (GSMA) method, a rank-based, model-free approach, to combine results across eight independent genome-wide linkages performed on celiac disease (CD), including 554 families with over 1,500 affected individuals. We also investigate the agreement between signals we identified from this meta-analysis of linkage studies and those identified from genome-wide association analysis using a hypergeometric distribution.
Not surprisingly, the most significant result was obtained in the HLA region. Outside the HLA region, suggestive evidence for linkage was obtained at the telomeric region of chromosome 10 (10q26.12-qter; p = 0.00366), and on chromosome 8 (8q22.2-q24.21; p = 0.00491). Testing signals of association and linkage within bins showed no significant evidence for co-localization of results.
This meta-analysis allowed us to pool the results from available genome-wide linkage studies and to identify novel regions potentially harboring predisposing genetic variation contributing to CD. This study also shows that linkage and association studies may identify different types of disease-predisposing variants.
随着该领域转向全基因组关联研究,对全基因组连锁研究进行荟萃分析能让我们总结基于家系研究的大量可用信息。
在此,我们应用全基因组扫描荟萃分析(GSMA)方法,这是一种基于排序、无模型的方法,以整合对乳糜泻(CD)进行的八项独立全基因组连锁研究的结果,其中包括554个家庭的1500多名患病个体。我们还使用超几何分布研究了从该连锁研究荟萃分析中确定的信号与从全基因组关联分析中确定的信号之间的一致性。
不出所料,在HLA区域获得了最显著的结果。在HLA区域之外,在10号染色体的端粒区域(10q26.12 - qter;p = 0.00366)和8号染色体(8q22.2 - q24.21;p = 0.00491)获得了连锁的提示性证据。在各区间内测试关联和连锁信号未显示结果共定位的显著证据。
这项荟萃分析使我们能够汇总现有全基因组连锁研究的结果,并确定可能含有导致乳糜泻的易感性基因变异的新区域。这项研究还表明,连锁研究和关联研究可能识别出不同类型的疾病易感性变异。