Literature DB >> 29876893

Gene-Gene and Gene-Environment Interactions.

Andrew T DeWan1.   

Abstract

Identifying gene-gene and gene-environment interactions may help us to better describe the genetic architecture for complex traits. While advances have been made in identifying genetic variants associated with complex traits through more dense panels of genetic variants and larger sample sizes, genome-wide interaction analyses are still limited in power to detect interactions with small effect sizes, rare frequencies, and higher order interactions. This chapter outlines methods for detecting both gene-gene and gene-environment interactions both through explicit tests for interactions (i.e., ones in which the interaction is tested directly) and non-explicit tests (i.e., ones in which an interaction is allowed for in the test, but does not test for the interaction directly) as well as approaches for increasing power by reducing the search space. Issues relating to multiple test correction, replication, and the reporting of interaction results in publications.

Keywords:  Environment; Epistasis; GWAS; Interaction; Power; Replication

Mesh:

Year:  2018        PMID: 29876893     DOI: 10.1007/978-1-4939-7868-7_7

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


  3 in total

1.  A proposed HLA-B*27 screening method for ankylosing spondylitis detection based on tag-single nucleotide polymorphisms: a preliminary study.

Authors:  Gabriela Angélica Martínez-Nava; Yessica Zamudio-Cuevas; Ninoska Aleida Terrazas-Ontiveros; Karina Martínez-Flores; Rolando Espinosa-Morales; Fernando Mijares-Díaz; Shaila Monserrat Juárez-Barreto; Carlos Lozada-Pérez; Margarita Valdés-Flores; Roberto Sánchez-Sánchez; Alberto Hidalgo-Bravo; Javier Fernández-Torres
Journal:  Mol Biol Rep       Date:  2021-10-13       Impact factor: 2.316

2.  Associating complex traits with genetic variants: polygenic risk scores, pleiotropy and endophenotypes.

Authors:  Gene S Fisch
Journal:  Genetica       Date:  2021-10-22       Impact factor: 1.633

3.  Parental warmth interacts with several genes to affect executive function components: a genome-wide environment interaction study.

Authors:  Chunhui Chen; Chuansheng Chen; Gui Xue; Qi Dong; Libo Zhao; Shudong Zhang
Journal:  BMC Genet       Date:  2020-02-04       Impact factor: 2.797

  3 in total

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