title: Biometrical modelling in genetics: are complex traits too complex?
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.
authors.affiliation: Divison of Epidemiology, Norwegian Institute of Public Health, Norway. hakon.gjessing@fhi.no
authors.forename: Håkon K
authors.initials: HK
authors.lastname: Gjessing
authors.forename: Rolv Terje
authors.initials: RT
authors.lastname: Lie
mesh_terms: D001699:Biometry; D001724:Birth Weight / Q000235:genetics*; D006801:Humans; D007231:Infant, Newborn; D008957:Models, Genetic; D015233:Models, Statistical; D009664:Norway; D010375:Pedigree; D012042:Registries