Menopause in women with type 1 diabetes.

Objective: Our objective was to study age at menopause and the factors associated with it in a large population-based group of Finnish women with childhood-onset type 1 diabetes.

Methods: We contacted a sample of 978 women with type 1 diabetes and mailed them a questionnaire on their gynecological and reproductive histories, diabetes and its management, other diseases, and lifestyle factors. The questionnaire survey was repeated 3 years later among those 641 who responded in the first round and were eligible to take part.

Genetic random effects model for family data with long-term survivors: analysis of diabetic nephropathy in type 1 diabetes.

A shared and additive genetic variance component-long-term survivor (LTS) model for familial aggregation studies of complex diseases with variable age-at-onset phenotype and non-susceptible subjects in the study cohort is proposed. LTS has been used from the early 1970s, especially in epidemiological studies of cancer. The LTS model utilizes information on the age at onset (survival) distribution to make inference on partially latent susceptibility.

Potts model for haplotype associations.

Bayesian spatial modeling has become important in disease mapping and has also been suggested as a useful tool in genetic fine mapping. We have implemented the Potts model and applied it to the Genetic Analysis Workshop 14 (GAW14) simulated data. Because the "answers" were known we have analyzed latent phenotype P1-related observed phenotypes affection status (genetically determined) and i (random) in the Danacaa population replicate 2.