SNP characteristics predict replication success in association studies
نویسندگان
چکیده
منابع مشابه
SNP Set Association Analysis for Genome-Wide Association Studies
Genome-wide association study (GWAS) is a promising approach for identifying common genetic variants of the diseases on the basis of millions of single nucleotide polymorphisms (SNPs). In order to avoid low power caused by overmuch correction for multiple comparisons in single locus association study, some methods have been proposed by grouping SNPs together into a SNP set based on genomic feat...
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The application of genetic association studies to detect mitochondrial variants responsible for phenotypic variation has recently been demonstrated. However, the only power estimates currently available are based on the use of mitochondrial haplogroups, which can only tag a small fraction of the common variation in the mitochondrial genome. Here, power estimates are derived for a SNP-based stud...
متن کاملAn overview of SNP interactions in genome-wide association studies.
With the recent explosion in high-throughput genotyping technology, the amount and quality of single-nucleotide polymorphism (SNP) data has increased exponentially. Therefore, the identification of SNP interactions that are associated with common diseases is playing an increasing and important role in interpreting the genetic basis of disease susceptibility and in devising new diagnostic tests ...
متن کاملSimultaneous SNP Identification in Association Studies with Missing Data
Motivation: Association testing aims to discover the underlying relationship between genotypes (usually single nucleotide polymorphisms, or SNPs) and phenotypes (attributes, or traits). The typically large data sets used in association testing often contain missing values. Standard statistical methods either impute the missing values using relatively simple assumptions or delete them, which can...
متن کاملImputation methods to improve inference in SNP association studies.
Missing single nucleotide polymorphisms (SNPs) are quite common in genetic association studies. Subjects with missing SNPs are often discarded in analyses, which may seriously undermine the inference of SNP-disease association. In this article, we develop two haplotype-based imputation approaches and one tree-based imputation approach for association studies. The emphasis is to evaluate the imp...
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ژورنال
عنوان ژورنال: Human Genetics
سال: 2014
ISSN: 0340-6717,1432-1203
DOI: 10.1007/s00439-014-1493-6