A tutorial on conducting genome-wide association studies: Quality control and statistical analysis
نویسندگان
چکیده
منابع مشابه
Quality control for genome-wide association studies.
This chapter is a comprehensive review of quality control (QC) methods for SNP-based genotyping panels used in genome-wide association studies. These include QC on individuals for missingness, gender checks, duplicates and cryptic relatedness, population outliers, heterozygosity and inbreeding, and QC on SNPs for missingness, minor allele frequency and Hardy-Weinberg equilibrium. The emphasis i...
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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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This paper provides details on the necessary steps to assess and control data in genome wide association studies (GWAS) using genotype information on a large number of genetic markers for large number of individuals. Due to varied study designs and genotyping platforms between multiple sites/projects as well as potential genotyping errors, it is important to ensure high quality data. Scripts an...
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In the past few years, genome-wide association study (GWAS) has made great successes in identifying genetic susceptibility loci underlying many complex diseases and traits. The findings provide important genetic insights into understanding pathogenesis of diseases. In this paper, we present an overview of widely used approaches and strategies for analysis of GWAS, offered a general consideratio...
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ژورنال
عنوان ژورنال: International Journal of Methods in Psychiatric Research
سال: 2018
ISSN: 1049-8931
DOI: 10.1002/mpr.1608