𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Powerful SNP-Set Analysis for Case-Control Genome-wide Association Studies

✍ Scribed by Michael C. Wu; Peter Kraft; Michael P. Epstein; Deanne M. Taylor; Stephen J. Chanock; David J. Hunter; Xihong Lin

Book ID
113422852
Publisher
American Society of Human Genetics
Year
2010
Tongue
English
Weight
902 KB
Volume
86
Category
Article
ISSN
0002-9297

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Kernel machine SNP-set analysis for cens
Kernel machine SNP-set analysis for censored survival outcomes in genome-wide association studies
✍ Xinyi Lin; Tianxi Cai; Michael C. Wu; Qian Zhou; Geoffrey Liu; David C. Christia 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 442 KB 👁 2 views

In this article, we develop a powerful test for identifying single nucleotide polymorphism (SNP)-sets that are predictive of survival with data from genome-wide association studies. We first group typed SNPs into SNP-sets based on genomic features and then apply a score test to assess the overall ef

Shrinkage estimation for robust and effi
Shrinkage estimation for robust and efficient screening of single-SNP association from case-control genome-wide association studies
✍ Sheng Luo; Bhramar Mukherjee; Jinbo Chen; Nilanjan Chatterjee 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 160 KB 👁 2 views

## Abstract Population‐based case‐control design has become one of the most popular approaches for conducting genome‐wide association scans for rare diseases like cancer. In this article, we propose a novel method for improving the power of the widely used single‐single‐nucleotide polymorphism (SNP

A high-throughput SNP typing system for
A high-throughput SNP typing system for genome-wide association studies
✍ Y. Ohnishi; T. Tanaka; K. Ozaki; R. Yamada; H. Suzuki; Y. Nakamura 📂 Article 📅 2001 🏛 Nature Publishing Group 🌐 English ⚖ 501 KB

One of the most difficult issues to be solved in genome-wide association studies is to reduce the amount of genomic DNA required for genotyping. Currently available technologies require too large a quantity of genomic DNA to genotype with hundreds or thousands of singlenucleotide polymorphisms (SNPs