Matsuzaki Hajime, Loi Halina, Dong Shoulian, Tsai Ya-Yu, Fang Joy, Law Jane, Di Xiaojun, Liu Wei-Min, Yang Geoffrey, Liu Guoying, Huang Jing, Kennedy Giulia C, Ryder Thomas B, Marcus Gregory A, Walsh P Sean, Shriver Mark D, Puck Jennifer M, Jones Keith W, Mei Rui
Affymetrix, Inc., Santa Clara, California 95051, USA.
Genome Res. 2004 Mar;14(3):414-25. doi: 10.1101/gr.2014904.
The analysis of single nucleotide polymorphisms (SNPs) is increasingly utilized to investigate the genetic causes of complex human diseases. Here we present a high-throughput genotyping platform that uses a one-primer assay to genotype over 10,000 SNPs per individual on a single oligonucleotide array. This approach uses restriction digestion to fractionate the genome, followed by amplification of a specific fractionated subset of the genome. The resulting reduction in genome complexity enables allele-specific hybridization to the array. The selection of SNPs was primarily determined by computer-predicted lengths of restriction fragments containing the SNPs, and was further driven by strict empirical measurements of accuracy, reproducibility, and average call rate, which we estimate to be >99.5%, >99.9%, and>95%, respectively [corrected]. With average heterozygosity of 0.38 and genome scan resolution of 0.31 cM, the SNP array is a viable alternative to panels of microsatellites (STRs). As a demonstration of the utility of the genotyping platform in whole-genome scans, we have replicated and refined a linkage region on chromosome 2p for chronic mucocutaneous candidiasis and thyroid disease, previously identified using a panel of microsatellite (STR) markers.
单核苷酸多态性(SNP)分析越来越多地用于研究复杂人类疾病的遗传病因。在此,我们展示了一种高通量基因分型平台,该平台使用单引物分析在单个寡核苷酸阵列上对每个个体的10000多个SNP进行基因分型。这种方法利用限制性酶切来分离基因组,随后扩增基因组中特定的分离子集。基因组复杂性的降低使得等位基因能够与阵列进行特异性杂交。SNP的选择主要由计算机预测的包含SNP的限制性片段长度决定,并通过严格的准确性、可重复性和平均检出率的实证测量进一步推动,我们估计这些指标分别为>99.5%、>99.9%和>95%[已校正]。该SNP阵列平均杂合度为0.38,基因组扫描分辨率为0.31 cM,是微卫星(STR)面板的可行替代方案。作为基因分型平台在全基因组扫描中的实用性的证明,我们已经复制并优化了先前使用微卫星(STR)标记面板鉴定出的2号染色体p臂上慢性黏膜皮肤念珠菌病和甲状腺疾病的连锁区域。