Data validation and statistical issues such as power and other considerations in genome-wide association study (GWAS)

被引：0

作者：

Tomita, Makoto ^{[1
]}

机构：

[1] Yokohama City Univ, Yokohama, Kanagawa, Japan

来源：

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS | 2023年 / 15卷 / 03期

关键词：

data quality control; genome-wide association study; GWAS; p-value QQ-plot; statistical power; HAPLOTYPE BLOCKS; LD;

D O I：

10.1002/wics.1601

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

A series of steps in genomic data analysis will be presented. In data validation, starting with marker quality control, he mentioned structuring problems from ethnic populations, genome-wide significant levels, Manhattan plots, and Haploview. Statistical issues such as power, sample size calculation, false discovery rate, and QQ plot of p-values were also introduced. This article is categorized under: Applications of Computational Statistics > DNA Analysis

引用

页数：12

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