数据验证和统计问题，如全基因组关联研究(GWAS)中的功率和其他考虑因素

IF 4.4 2区数学 Q1 STATISTICS & PROBABILITY

Wiley Interdisciplinary Reviews-Computational Statistics Pub Date : 2022-10-06 DOI:10.1002/wics.1601

Makoto Tomita

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引用次数: 0

摘要

将介绍基因组数据分析的一系列步骤。在数据验证中，从标记质量控制开始，他提到了种族群体、全基因组显著性水平、曼哈顿图和Haploview的结构问题。统计问题，如功率，样本量计算，错误发现率，和QQ图的p值也被介绍。

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

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.

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来源期刊

Wiley Interdisciplinary Reviews-Computational Statistics STATISTICS & PROBABILITY-

CiteScore

6.20

自引率

0.00%

发文量