常见疾病基因关联研究中获得可靠结果的参数。

Parameters for reliable results in genetic association studies in common disease.

作者信息

Dahlman Ingrid, Eaves Iain A, Kosoy Roman, Morrison V Anne, Heward Joanne, Gough Stephen C L, Allahabadia Amit, Franklyn Jayne A, Tuomilehto Jaakko, Tuomilehto-Wolf Eva, Cucca Francesco, Guja Cristian, Ionescu-Tirgoviste Constantin, Stevens Helen, Carr Philippa, Nutland Sarah, McKinney Patricia, Shield Julian P, Wang William, Cordell Heather J, Walker Neil, Todd John A, Concannon Patrick

机构信息

JDRF/WT Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Hills Road, Cambridge CB2 2XY, UK.

出版信息

Nat Genet. 2002 Feb;30(2):149-50. doi: 10.1038/ng825. Epub 2002 Jan 22.

DOI:10.1038/ng825

PMID:11799396

Abstract

It is increasingly apparent that the identification of true genetic associations in common multifactorial disease will require studies comprising thousands rather than the hundreds of individuals employed to date. Using 2,873 families, we were unable to confirm a recently published association of the interleukin 12B gene in 422 type I diabetic families. These results emphasize the need for large datasets, small P values and independent replication if results are to be reliable.

摘要

越来越明显的是，要确定常见多因素疾病中的真正基因关联，研究需要纳入数千人，而不是迄今所采用的数百人。我们利用2873个家庭，未能在422个I型糖尿病家庭中证实最近发表的白细胞介素12B基因的关联。这些结果强调，如果结果要可靠，就需要大型数据集、小P值和独立重复验证。