Literature DB >> 28132152

Genome-Wide Association Analysis Using R.

Julio Isidro-Sánchez1, Deniz Akdemir2, Gracia Montilla-Bascón2.   

Abstract

This chapter provides a practical overview of the statistical analysis using R [1] and genotype by sequencing (GBS) markers for genome-wide association studies (GWAS) in oats. Statistical analysis is performed by R package rrBLUP [2] and issues associated with the analysis are addressed along with the R code. The ultimate aim of this chapter is to provide a practical guideline to do GWAS analysis using R, rather than describe the theory in depth. For more details about the subject, readers are referred to the excellent resource book in GWAS [3]. A basic programming experience in R is assumed.

Entities:  

Keywords:  Bonferroni correction; False discovery rate; GWAS; Linkage disequilibrium; Population structure

Mesh:

Year:  2017        PMID: 28132152     DOI: 10.1007/978-1-4939-6682-0_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  High expression of COMMD7 is an adverse prognostic factor in acute myeloid leukemia.

Authors:  Kongfei Li; Lieguang Chen; Hua Zhang; Lu Wang; Keya Sha; Xiaohong Du; Daiyang Li; Zhongzheng Zheng; Renzhi Pei; Ying Lu; Hongyan Tong
Journal:  Aging (Albany NY)       Date:  2021-04-23       Impact factor: 5.682

2.  Genomic Prediction across Structured Hybrid Populations and Environments in Maize.

Authors:  Dongdong Li; Zhenxiang Xu; Riliang Gu; Pingxi Wang; Jialiang Xu; Dengxiang Du; Junjie Fu; Jianhua Wang; Hongwei Zhang; Guoying Wang
Journal:  Plants (Basel)       Date:  2021-06-09
  2 in total

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