Cilia, R., Siri, C., Rusconi, D., Allegra, R., Ghiglietti, A., Sacilotto, G., Zini, M., Zecchinelli, A.L., Asselta, R., Duga, S., Paganoni, A.M., Pezzoli, G., Seia, M. and Goldwurm, S. (2014) LRRK2 Mutations in Parkinson’s Disease: Confirmation of a Gender Effect in the Italian Population. Parkinsonism & Related Disorders, 20, 911-914.
https://doi.org/10.1016/j.parkreldis.2014.04.016

has been cited by the following article:

• TITLE: On Heredity Factors of Parkinson’s Disease: A Parametric and Bayesian Analysis

  AUTHORS: Abolfazl Saghafi, Chris P. Tsokos, Rebecca D. Wooten

  KEYWORDS: Parkinson’s Disease, Heredity, Bayesian Estimation, Maximum Likelihood, Statistical Modelling

  JOURNAL NAME: Advances in Parkinson's Disease, Vol.7 No.3, August 31, 2018

  ABSTRACT: Hereditary is one of the key risk factors of the Parkinson’s disease (PD) and children of individuals with the Parkinson’s carry a two-fold risk for the disease. In this article, chance of developing the Parkinson’s disease is estimated for an individual in five types of families. That is, families with negative history of the PD (I), families with positive history where neither one of the parents (II), one of the parents (III-IV), or both parents (V) are diagnosed with the disease. After a sophisticated modeling, Maximum Likelihood and Bayesian Approach are used to estimate the chance of developing the Parkinson’s in the five mentioned family types. It is extremely important knowing such probabilities as the individual can take precautionary measures to defy the odds. While many physicians have provided medical opinions on chance of developing the PD, our study is one of the first to provide statistical modeling and analysis with real data to support the conclusions.