单核苷酸多态性
全基因组关联研究
双相情感障碍
遗传关联
遗传学
生物
基因分型
SNP基因分型
基因
SNP公司
候选基因
基因型
锂(药物)
内分泌学
作者
Amber E. Baum,Nirmala Akula,Michael Cabanero,Imer Cardona,Winston Corona,Brygida Klemens,Thomas G. Schulze,Sven Cichon,Marcella Rietschel,Markus M. Nöthen,Alexander Georgi,J Schumacher,Markus Schwarz,Rami Abou Jamra,Susanne Höfels,Peter Propping,Jaya M. Satagopan,Sevilla D. Detera‐Wadleigh,John Hardy,Francis J. McMahon
标识
DOI:10.1038/sj.mp.4002012
摘要
The genetic basis of bipolar disorder has long been thought to be complex, with the potential involvement of multiple genes, but methods to analyze populations with respect to this complexity have only recently become available. We have carried out a genome-wide association study of bipolar disorder by genotyping over 550 000 single-nucleotide polymorphisms (SNPs) in two independent case-control samples of European origin. The initial association screen was performed using pooled DNA, and selected SNPs were confirmed by individual genotyping. While DNA pooling reduces power to detect genetic associations, there is a substantial cost saving and gain in efficiency. A total of 88 SNPs, representing 80 different genes, met the prior criteria for replication in both samples. Effect sizes were modest: no single SNP of large effect was detected. Of 37 SNPs selected for individual genotyping, the strongest association signal was detected at a marker within the first intron of diacylglycerol kinase eta (DGKH; P=1.5 × 10−8, experiment-wide P<0.01, OR=1.59). This gene encodes DGKH, a key protein in the lithium-sensitive phosphatidyl inositol pathway. This first genome-wide association study of bipolar disorder shows that several genes, each of modest effect, reproducibly influence disease risk. Bipolar disorder may be a polygenic disease.
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