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
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页数：12
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