TY  - REP
AU  - Tao Feng
AU  - Elston,R.C.|Satagopan,J.M.|Sun,S.
AU  - Xiaofeng Zhu
TI  - Detecting rare variants
T2  - Methods in Molecular Biology
SN  - 978-1-61779-554-1
PY  - 2012///
CY  - USA
PB  - Springer
KW  - Aggregation
KW  - Collapsing
KW  - Common disease  common variants
KW  - Common disease rare variants
KW  - GWA
KW  - Haplotype
KW  - SNPs
N2  - The limitations of genome-wide association (GWA) studies that are based on the common disease common variants (CDCV) hypothesis have motivated geneticists to test the hypothesis that rare variants contribute to the variation of common diseases, i.e., common disease/rare variants (CDRV). The newly developed high-throughput sequencing technologies have made the studies of rare variants practicable. Statistical approaches to test associations between a phenotype and rare variants are quickly developing. The central idea of these methods is to test a set of rare variants in a defined region or regions by collapsing or aggregating rare variants, thereby improving the statistical power. In this chapter, we introduce these methods as well as their applications in practice
DO  - https://doi.org/10.1007/978-1-61779-555-8_24
ER  -