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Modeling the effect of a genetic factor for a complex trait in a simulated population.
Bourgey M., Leutenegger A.-L., Cousin E., Bourgain C., Babron M.-C., Clerget-Darpoux F.
BMC Genetics 6 Suppl 1 (2005) S87 - http://www.hal.inserm.fr/inserm-00089272
 (16451702) 
Modeling the effect of a genetic factor for a complex trait in a simulated population.
Mathieu Bourgey1, Anne-Louise Leutenegger2, Emmanuelle Cousin3, Catherine Bourgain1, Marie-Claude Babron1, Françoise Clerget-Darpoux1
1 :  Génétique épidémiologique et structures des populations humaines
INSERM : U535 – IFR69 – Université Paris XI - Paris Sud
Hopital Paul Brousse 94817 VILLEJUIF CEDEX
France
2 :  Neurologie et thérapeutique expérimentale
http://www.u289.ifrns.chups.jussieu.fr/
INSERM : U679 – IFR70 – Université Pierre et Marie Curie [UPMC] - Paris VI
GH Pitié-Salpetrière 47, Boulevard de L'Hopital 75651 PARIS CEDEX 13
France
3 :  Centre de génétique d'Evry
Aventis Pharma
Evry
France
Genetic Analysis Workshop 14 simulated data have been analyzed with MASC(marker association segregation chi-squares) in which we implemented a bootstrap procedure to provide the variation intervals of parameter estimates. We model here the effect of a genetic factor, S, for Kofendrerd Personality Disorder in the region of the marker C03R0281 for the Aipotu population. The goodness of fit of several genetic models with two alleles for one locus has been tested. The data are not compatible with a direct effect of a single-nucleotide polymorphism (SNP) (SNP 16, 17, 18, 19 of pack 153) in the region. Therefore, we can conclude that the functional polymorphism has not been typed and is in linkage disequilibrium with the four studied SNPs. We obtained very large variation intervals both of the disease allele frequency and the degree of dominance. The uncertainty of the model parameters can be explained first, by the method used, which models marginal effects when the disease is due to complex interactions, second, by the presence of different sub-criteria used for the diagnosis that are not determined by S in the same way, and third, by the fact that the segregation of the disease in the families was not taken into account. However, we could not find any model that could explain the familial segregation of the trait, namely the higher proportion of affected parents than affected sibs.
Sciences du Vivant/Génétique
Anglais
1471-2156

Articles dans des revues avec comité de lecture
10.1186/1471-2156-6-S1-S87
BMC Genetics (BMC Genet)
Publisher BioMed Central
ISSN 1471-2156 
2005
6 Suppl 1
S87

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