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The aim of our study was to examine the contribution of family history of   Parkinson's disease and its associated disorders in the assessment of   predictive capacity of risk models for Parkinson’s disease. In a population   of 192 patients with Parkinson’s disease and 1659 healthy individuals we   investigated the impact of environmental factors and the effects of family   history on Parkinson's disease risk. Pesticides exposure, positive family   history of Parkinson’s disease and a positive family history of dementia and   melanoma were associated to an increased risk for Parkinson’s disease, with   results regarding family history of depression near to statistical   significance. Smoking and caffeine intake were associated to a decreased risk   for Parkinson’s disease. Three risk prediction models were assessed using the   area under the curve approach: first model was based on known environmental   risk factors, in the second model we added family history of Parkinson’s   disease and in the third model we additionally included family history of   dementia, melanoma and depression. We showed that inclusion of data on family   history of associated disorders (AUC 0.76) improves predictive capacity of   risk model for Parkinson’s disease in comparison with the first (AUC 0.62)   and the second model (AUC 0.71). We concluded that family history of   associated disorders: dementia, depression and melanoma improves predictive   capacity of risk models for Parkinson’s disease

Family history based approach in risk prediction for Parkinson's disease: Additional contribution of familial associated disorders