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
收藏
页数：12
相关论文
共 50 条
  • [41] Genome-Wide Association Study (GWAS) for the Infliximab Responsiveness in Korean Inflammatory Bowel Disease Patients
    Park, Zewon
    Choi, Ko-woon
    Seo, Doo Won
    Ryu, Sunae
    Lee, Jong Gu
    Oh, Woo Yong
    ACM-BCB' 2017: PROCEEDINGS OF THE 8TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY,AND HEALTH INFORMATICS, 2017, : 608 - 609
  • [42] Genome-wide pathway analysis of a genome-wide association study on multiple sclerosis
    Gwan Gyu Song
    Sung Jae Choi
    Jong Dae Ji
    Young Ho Lee
    Molecular Biology Reports, 2013, 40 : 2557 - 2564
  • [43] Genome-wide pathway analysis of a genome-wide association study on multiple sclerosis
    Song, Gwan Gyu
    Choi, Sung Jae
    Ji, Jong Dae
    Lee, Young Ho
    MOLECULAR BIOLOGY REPORTS, 2013, 40 (03) : 2557 - 2564
  • [44] Sleep duration: A review of genome-wide association studies (GWAS) in adults from 2007 to 2020
    Garfield, Victoria
    SLEEP MEDICINE REVIEWS, 2021, 56
  • [45] Gene x environment interaction by a longitudinal epigenome-wide association study (LEWAS) overcomes limitations of genome-wide association study (GWAS)
    Lahiri, Debomoy K.
    Maloney, Bryan
    EPIGENOMICS, 2012, 4 (06) : 685 - 699
  • [46] GWAS Central: a comprehensive resource for the comparison and interrogation of genome-wide association studies
    Beck, Tim
    Hastings, Robert K.
    Gollapudi, Sirisha
    Free, Robert C.
    Brookes, Anthony J.
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2014, 22 (07) : 949 - 952
  • [47] GWAS Central: a comprehensive resource for the comparison and interrogation of genome-wide association studies
    Tim Beck
    Robert K Hastings
    Sirisha Gollapudi
    Robert C Free
    Anthony J Brookes
    European Journal of Human Genetics, 2014, 22 : 949 - 952
  • [48] Building an open Genome Wide Association Study (GWAS) platform
    Wang, Liya
    Ware, Doreen
    Merchant, Nirav
    Lushbough, Carol
    2013 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER), 2013,
  • [49] Comparing variants related to chronic diseases from genome-wide association study (GWAS) and the cancer genome atlas (TCGA)
    Soohyun Jeon
    Chaewon Park
    Jineui Kim
    Jung Hoon Lee
    Sung-yune Joe
    Young Kyung Ko
    Jeong-An Gim
    BMC Medical Genomics, 16
  • [50] Comparing variants related to chronic diseases from genome-wide association study (GWAS) and the cancer genome atlas (TCGA)
    Jeon, Soohyun
    Park, Chaewon
    Kim, Jineui
    Lee, Jung Hoon
    Joe, Sung-yune
    Ko, Young Kyung
    Gim, Jeong-An
    BMC MEDICAL GENOMICS, 2023, 16 (01)
12345