Pettersson Erik, Zajac Pawel, Ståhl Patrik L, Jacobsson Josefin A, Fredriksson Robert, Marcus Claude, Schiöth Helgi B, Lundeberg Joakim, Ahmadian Afshin
Department of Gene Technology, Royal Institute of Technology (Kungliga Tekniska Högskolan, KTH), AlbaNova University Center, Stockholm, Sweden.
Hum Mutat. 2008 Feb;29(2):323-9. doi: 10.1002/humu.20655.
Here we present an approach for allelotyping combining the multiplexing features of the trinucleotide threading (TnT) method with pooling of genomic DNA and massively parallel pyrosequencing, enabling reliable allele frequency estimation in large cohorts. The approach offers several benefits as compared to array-based methods and allows undertaking highly complex studies without compromising accuracy, while keeping the workload to a minimum. This proof-of-concept study involves formation of trinucleotide threads, targeting a total of 147 single-nucleotide polymorphisms (SNPs) related to obesity and cancer, for multiplex amplification and allele extraction from a pool of 462 genomes, followed by massively parallel pyrosequencing. Approximately 177k reads were approved, identified, and assigned to SNP-carrying threads rendering representative allele frequencies in the cohort.
在此,我们提出一种等位基因分型方法,该方法将三核苷酸穿线(TnT)方法的多重化特征与基因组DNA混合及大规模平行焦磷酸测序相结合,能够在大型队列中可靠地估计等位基因频率。与基于阵列的方法相比,该方法具有诸多优势,可在不影响准确性的情况下开展高度复杂的研究,同时将工作量降至最低。这项概念验证研究涉及三核苷酸链的形成,针对总共147个与肥胖和癌症相关的单核苷酸多态性(SNP),用于从462个基因组的混合样本中进行多重扩增和等位基因提取,随后进行大规模平行焦磷酸测序。大约17.7万个读数被核准、识别并分配到携带SNP的链上,从而得出该队列中有代表性的等位基因频率。