background and aims: charcot marie tooth disease (cmt) is the most prevalent hereditary neuropathy and its frequency is 1 in 2500. cmt is a heterogeneous disease and has different clinical symptoms. the prevalence of cmt and involved genes differ in different countries. cmt patients experience considerable sleep problems and a higher risk of decreased quality of life. in this work it was aimed ...

Genetic epidemiology The pioneering work of Böök, Sjögren, Angst, Perris, and others in Europe and Kallman, Heston, Rosenthal, Wender, and Kety in the United States firmly established the important role of genetic susceptibility factors in psychiatric disorders. Heston’s [1] original finding that adult offspring of hospitalized schizophrenic mothers had significantly higher rates of schizophren...

Since the discovery of recombinant DNA techniques in the 1970s, the identification of diseaserelated genes has rested on epidemiologic data (1, 2). The implications of gene identification for research subjects, for the transition to clinical practice, for clinical practice itself, and, finally, for society at large form the basis of this review. The ethical issues inherent in genetic testing ha...

Genetic epidemiology brings together approaches and techniques developed in mathematical genetics and statistics, medical genetics, quantitative genetics, and epidemiology. In the 1980s, the focus was on the mapping and identification of genes where defects had large effects at the individual level. More recently, statistical and experimental advances have made possible to identify and characte...

Genetics and insurance is an area unusually exposed to rapid scientific advance, close public and political scrutiny, and popular myth. It may be leading the way towards evidence-based underwriting. This survey paper describes some of the experience gained since actuarial involvement began in the mid-1990s, particularly the vital link with genetic epidemiology. We survey the relevant aims and o...

BACKGROUND/AIMS To illustrate the utility of causal models for research in genetic epidemiology and statistical genetics. Causal models are increasingly applied in risk factor epidemiology, economics, and health policy, but seldom used in statistical genetics or genetic epidemiology. Unlike the statistical models usually used in genetic epidemiology, causal models are explicitly formulated in t...

The analytic approaches used in nutritional epidemiology for dietary pattern analyses share common characteristics with those of genetic epidemiology. In this issue of the Journal, Gorst-Rasmussen et al. (Am J Epidemiol. 2011;173(10):1097-1104) discuss one such approach. Application of methods used in genetic pattern analyses to nutritional epidemiology could prove valuable but raises important...

The analytic approaches used in nutritional epidemiology for dietary pattern analyses share common characteristics with those of genetic epidemiology. In this issue of the Journal, Gorst-Rasmussen et al. (Am J Epidemiol. 2011;173(10):1097–1104) discuss one such approach. Application of methods used in genetic pattern analyses to nutritional epidemiology could prove valuable but raises important...

From the Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ (P.W.F., R.L.H., W.C.K., M.L.S., P.H.B., H.C.L.); the Genetic Epidemiology and Clinical Research Group, Department of Public Health and Clinical Medicine, Section for Medicine, Umeå University Hospital, Umeå, Sweden (P.W.F.); ...

Traditionally, the fields of human genetics and epidemiology were independent disciplines with minimal interaction between them. Over the years, however, genetic concepts were slowly integrated with epidemiologic methods to capitalize on the advantages of thendiverse perspectives and expertise (1). By the late 1970s, genetic epidemiology emerged as a formal discipline and blossomed throughout t...