Literature DB >> 12573188

Variance components models for gene-environment interaction in quantitative trait locus linkage analysis.

Shaun Purcell1, Pak Sham.   

Abstract

Gene-environment interaction (G x E) is likely to be a common and important source of variation for complex behavioral traits. Gene-environment interaction, or genetic control of sensitivity to the environment, can be incorporated into variance components twin and sib-pair analyses by partitioning genetic effects into a mean part, which is independent of the environment, and a part that is a linear function of the environment. An approach described in a companion paper (Purcell, 2002) is applied to sib-pair variance components linkage analysis in two ways: allowing for quantitative trait locus by environment interaction and utilizing information on any residual interactions detected prior to analysis. As well as elucidating environmental pathways, consideration of G x E in quantitative and molecular studies will potentially direct and enhance gene-mapping efforts.

Mesh:

Year:  2002        PMID: 12573188     DOI: 10.1375/136905202762342035

Source DB:  PubMed          Journal:  Twin Res        ISSN: 1369-0523


  13 in total

1.  Future directions in ADHD etiology research.

Authors:  Joel T Nigg
Journal:  J Clin Child Adolesc Psychol       Date:  2012-05-29

2.  A finite mixture model for genotype and environment interactions: detecting latent population heterogeneity.

Authors:  Nathan A Gillespie; Michael C Neale
Journal:  Twin Res Hum Genet       Date:  2006-06       Impact factor: 1.587

3.  Mixed effects models for quantitative trait loci mapping with inbred strains.

Authors:  Lara E Bauman; Janet S Sinsheimer; Eric M Sobel; Kenneth Lange
Journal:  Genetics       Date:  2008-09-14       Impact factor: 4.562

4.  Heritability of regional and global brain structure at the onset of puberty: a magnetic resonance imaging study in 9-year-old twin pairs.

Authors:  Jiska S Peper; Hugo G Schnack; Rachel M Brouwer; G Caroline M Van Baal; Eneda Pjetri; Eszter Székely; Marieke van Leeuwen; Stéphanie M van den Berg; D Louis Collins; Alan C Evans; Dorret I Boomsma; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2009-07       Impact factor: 5.038

5.  Magnetic resonance spectroscopy study of the glutamatergic system in adolescent males with high-functioning autistic disorder: a pilot study at 4T.

Authors:  Gagan Joshi; Joseph Biederman; Janet Wozniak; Rachel L Goldin; Dave Crowley; Stephannie Furtak; Scott E Lukas; Atilla Gönenç
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2012-09-18       Impact factor: 5.270

6.  Public health genomics: translating obesity genomics research into population health benefits.

Authors:  Tanya Agurs-Collins; Muin J Khoury; Denise Simon-Morton; Deborah H Olster; Jennifer R Harris; John A Milner
Journal:  Obesity (Silver Spring)       Date:  2008-12       Impact factor: 5.002

Review 7.  Attention deficits and hyperactivity-impulsivity: what have we learned, what next?

Authors:  Joel T Nigg
Journal:  Dev Psychopathol       Date:  2013-11

8.  Testing the key assumption of heritability estimates based on genome-wide genetic relatedness.

Authors:  Dalton Conley; Mark L Siegal; Benjamin W Domingue; Kathleen Mullan Harris; Matthew B McQueen; Jason D Boardman
Journal:  J Hum Genet       Date:  2014-03-06       Impact factor: 3.172

9.  Power calculations using exact data simulation: a useful tool for genetic study designs.

Authors:  Sophie van der Sluis; Conor V Dolan; Michael C Neale; Danielle Posthuma
Journal:  Behav Genet       Date:  2007-12-13       Impact factor: 2.805

10.  The genetic epidemiology of personality disorders.

Authors:  Ted Reichborn-Kjennerud
Journal:  Dialogues Clin Neurosci       Date:  2010       Impact factor: 5.986

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.