Literature DB >> 17855744

Biometrical modelling in genetics: are complex traits too complex?

Håkon K Gjessing1, Rolv Terje Lie.   

Abstract

The field of traditional biometrical genetics uses mixed-effects models to quantify the influence of genetic and environmental factors on a biological trait, based essentially on estimating within-family trait correlations. Such analyses provide a useful preview of what may be discovered with the emerging full-scale genotyping strategies. However, biometrical analyses require unrealistically large sample sizes to obtain a reasonable precision, particularly for dichotomous traits. In addition, it may be very difficult to separate genetic and environmental effects because environmental correlations are poorly understood. We illustrate these and other difficulties using population-based cousins and nuclear family data for birth weight, collected from the Medical Birth Registry of Norway.

Mesh:

Year:  2007        PMID: 17855744     DOI: 10.1177/0962280207081241

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  3 in total

1.  A hierarchical frailty model applied to two-generation melanoma data.

Authors:  Tron Anders Moger; Marion Haugen; Benjamin H K Yip; Håkon K Gjessing; Ornulf Borgan
Journal:  Lifetime Data Anal       Date:  2010-11-04       Impact factor: 1.588

2.  Fitting ACE structural equation models to case-control family data.

Authors:  K N Javaras; J I Hudson; N M Laird
Journal:  Genet Epidemiol       Date:  2010-04       Impact factor: 2.135

3.  Human Birth Weight and Reproductive Immunology: Testing for Interactions between Maternal and Offspring KIR and HLA-C Genes.

Authors:  Michelle M Clark; Olympe Chazara; Eric M Sobel; Håkon K Gjessing; Per Magnus; Ashley Moffett; Janet S Sinsheimer
Journal:  Hum Hered       Date:  2017-02-18       Impact factor: 0.444

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.