Large-scale genotyping of complex DNA

被引:396
作者
Kennedy, GC
Matsuzaki, H
Dong, SL
Liu, WM
Huang, J
Liu, GY
Xu, X
Cao, MQ
Chen, WW
Zhang, J
Liu, WW
Yang, G
Di, XJ
Ryder, T
He, ZJ
Surti, U
Phillips, MS
Boyce-Jacino, MT
Fodor, SPA
Jones, KW
机构
[1] Affymetrix, Santa Clara, CA 95051 USA
[2] Magee Womens Hosp, Dept Pathol, Pittsburgh, PA 15213 USA
[3] Magee Womens Hosp, Dept Genet, Pittsburgh, PA 15213 USA
[4] Orchid Biosci Inc, Princeton, NJ 08540 USA
关键词
D O I
10.1038/nbt869
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Genetic studies aimed at understanding the molecular basis of complex human phenotypes require the genotyping of many thousands of single-nucleotide polymorphisms (SNPs) across large numbers of individuals(1). Public efforts have so far identified over two million common human SNPs(2); however, the scoring of these SNPs is labor-intensive and requires a substantial amount of automation. Here we describe a simple but effective approach, termed whole-genome sampling analysis (WGSA), for genotyping thousands of SNPs simultaneously in a complex DNA sample without locus-specific primers or automation. Our method amplifies highly reproducible fractions of the genome across multiple DNA samples and calls genotypes at >99% accuracy. We rapidly genotyped 14,548 SNPs in three different human populations and identified a subset of them with significant allele frequency differences between groups. We also determined the ancestral allele for 8,386 SNPs by genotyping chimpanzee and gorilla DNA. WGSA is highly scaleable and enables the creation of ultrahigh density SNP maps for use in genetic studies.
引用
收藏
页码:1233 / 1237
页数:5
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