Méthodes statistiques pour identifier les gènes dans les maladies multifactorielles

Complexité génétique de la maladie d’Alzheimer

The discovery of pathogenic mutations in the amyloid precursor protein (APP) gene and the presenilin (PS1, PS2) genes, causing familial early-onset AD has lead to the hypothesis of the amyloid cascade. The epsilon4 allele of the apolipoprotein E (APOE) gene, the only recognized genetic risk factor for AD, may be involved in the mechanism. However, to date, search for new genetic determinants has been hampered by methodological limitations. Some loci, for instance on chromosome 12, have been characterized by linkage studies performed in familial cases, but the regions of interest are very large and contain numerous genes. Furthermore, search for polymorphisms implicated in the development of AD, should not be limited to the coding part of the genes, but should also involve the non-translated sequences of the genes, for instance in the regions regulating gene expression. Indeed, these genetic variations may have important impact on key proteins of the pathologic process. Although this task is difficult, the identification of new susceptibility genes should lead to a better understanding of the development of AD.

Epidemiological study of the genetics and environment of asthma, bronchial hyperresponsiveness, and atopy: phenotype issues

The Epidemiological Study of the Genetics and Environment of Asthma (EGEA) combined a case-control study and a family study. The total sample of 1,854 consisted of 348 patients with asthma selected through chest clinics and 416 control subjects and nuclear families ascertained through the cases. The protocol included standardized questionnaires, bronchial responsiveness, allergen skin-prick tests according to international protocols, total serum immunoglobulin E (IgE) level measurements, and blood eosinophilia. Criteria used to select subjects with asthma and determine asthma status of relatives for affected sibling pair linkage analysis are described. Based on figures from the 348 asthma cases of the EGEA study, issues relative to the definition of severe asthma and intermediate phenotypes such as bronchial responsiveness and allergic markers are discussed. Given the phenotypic heterogeneity involved, relevant phenotypes that may lead to the detection of genetic factors will depend on the hypothesis tested. Standardization of primary data and subphenotypes is a prerequisite for pooling data, which will be needed in the future to better understand the genetics and environmental factors of asthma.