Estimating decreased risks for Huntington disease without a test
Author(s) -
Reinier Timman,
Benno Bonke,
Theo Stijnen,
Aad Tibben,
Anneke MaatKievit
Publication year - 2008
Publication title -
european journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.825
H-Index - 111
eISSN - 1573-7284
pISSN - 0393-2990
DOI - 10.1007/s10654-008-9224-8
Subject(s) - medicine , proportional hazards model , disease , epidemiology , demography , regression , risk assessment , test (biology) , predictive testing , regression analysis , statistics , biology , paleontology , mathematics , computer security , sociology , computer science
The majority of individuals at risk for Huntington disease (HD) is afraid to learn more precisely about their genetic status, as is suggested by the low uptake of the predictive test for HD. Subsequently, the future expectancies of individuals at risk are often based on rough risk estimates such as 50% (child of an affected individual) or 25% (grandchild). Individuals at risk can be offered a better risk estimate based on their current age, length of the disease causing CAG-repeat in the HD gene in close relatives, information on the age at onset, or test results of children. Regression modelling and Cox regression determined relations between ages at onset and CAG repeat length in a sample of 755 tested individuals. A model for calculating the adjusted residual risk status was constructed and implemented in a spreadsheet that can be used in genetic counselling. This model and accompanying spreadsheet broadens the information repertoire for genetic counsellors by providing an optimal estimation of the residual risk status.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom