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HIGH THROUGHPUT SNP DISCOVERY & SCORING

HIGH THROUGHPUT SNP DISCOVERY & SCORING
高通量 SNP 发现
批准号:
7365978
负责人:
JOHN P NOLAN
金额:
$3.11万
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-07-01 至 2007-06-30

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中文摘要
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英文摘要
This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Analysis of DNA sequence variation is important for identifying disease related genes and diagnosing disease susceptibility. The most common type of genetic variation is the single nucleotide polymorphism (SNP), which may occur as frequently as 1 in every 1000 DNA bases. The goal of this project is to develop, validate, and demonstrate new approaches to the discovery and scoring of single nucleotide polymorphisms (SNPs). The new methods will take advantage of versatile and widely available measurement platform, flow cytometry, to provide rapid and sensitive sample analysis without wash steps. De novo SNP detection will be achieved using an immobilized mismatch binding protein to bind fluorescently labeled heteroduplex DNA to microspheres, which will then be analyzed by flow cytometry. We will evaluate different mismatch binding proteins, immobilization approaches, and labeling strategies to develop a homogeneous assay compatible with multiplexed analysis by flow cytometry. The optimized assay will be sensitive, rapid, and scaleable to scan amplified genomic sequence for SNPs at rates of greater than 1 Mb/day. SNP scoring will be performed using microsphere-based minisequencing in which primers will be extended with fluorescent dideoxynucleotides using polymerase, and then captured on beads and analyzed by flow cytometry. By employing a unique scheme of capture sequences to address differently dyed microspheres, we will be able to score simultaneously dozens, and potentially hundreds, of SNPs from a single genomic sample in 1-2 minutes. We will validate and demonstrate these new approaches in collaboration with laboratories currently using conventional technologies to discover and score SNPs for use in disease diagnostics, pharmacogenetics, and mapping and linkage studies. Both our SNP discovery and scoring methods will be compatible commercial flow cytometers present in most universities, research institutes, and clinical diagnostic laboratories.
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