Enrichment of statistical power for genome-wide association studies
نویسندگان
چکیده
منابع مشابه
Statistical Methods for Genome Wide Association Studies
This thesis focus on various statistical methods for analyzing Genome Wide Association data. The thesis include four papers, three of them considers the analysis of complex traits, and the last one a method for analyzing mendelian traits. Although GWAS have identified many associated regions in the genome for many complex diseases, there is still much of the genetic heritability that remains un...
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SUMMARY Here we present INRICH (INterval enRICHment analysis), a pathway-based genome-wide association analysis tool that tests for enriched association signals of predefined gene-sets across independent genomic intervals. INRICH has wide applicability, fast running time and, most importantly, robustness to potential genomic biases and confounding factors. Such factors, including varying gene s...
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متن کاملStatistical Methods for Genome-wide Association Studies and Personalized Medicine
In genome-wide association studies (GWAS), researchers analyze the genetic variation across the entire human genome, searching for variations that are associated with observable traits or certain diseases. There are several inference challenges in GWAS, including the huge number of genetic markers to test, the weak association between truly associated markers and the traits, and the correlation...
متن کاملStatistical Power of Model Selection Strategies for Genome-Wide Association Studies
Genome-wide association studies (GWAS) aim to identify genetic variants related to diseases by examining the associations between phenotypes and hundreds of thousands of genotyped markers. Because many genes are potentially involved in common diseases and a large number of markers are analyzed, it is crucial to devise an effective strategy to identify truly associated variants that have individ...
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ژورنال
عنوان ژورنال: BMC Biology
سال: 2014
ISSN: 1741-7007
DOI: 10.1186/s12915-014-0073-5