- Amyotrophic lateral sclerosis
- Genetic models
- Population genetics
- Segregation analysis
Background/Aims: Many complex diseases show a diversity of inheritance patterns ranging from familial disease, manifesting with autosomal dominant inheritance, through to simplex families in which only one person is affected, manifesting as apparently sporadic disease. The role of ascertainment bias in generating apparent patterns of inheritance is often overlooked. We therefore explored the role of two key parameters that influence ascertainment, penetrance and family size, in rates of observed familiality. Methods: We develop a mathematical model of familiality of disease, with parameters for penetrance, mutation frequency and family size, and test this in a complex disease: amyotrophic lateral sclerosis. Results: Monogenic, high-penetrance variants can explain patterns of inheritance in complex diseases and account for a large proportion of those with no apparent family history. With current demographic trends, rates of familiality will drop further. For example, a variant with penetrance 0.5 will cause apparently sporadic disease in 12% of families of size 10, but 80% of families of size 1. A variant with penetrance 0.9 has only an 11% chance of appearing sporadic in families of a size similar to those of Ireland in the past, compared with 57% in one-child families like many in China. Conclusions: These findings have implications for genetic counselling, disease classification and the design of gene-hunting studies. The distinction between familial and apparently sporadic disease should be considered artificial.
Copyright © 2011 S. Karger AG, Basel
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Prof. Ammar Al-Chalabi
MRC Centre for Neurodegeneration Research
Institute of Psychiatry P 041
London SE5 8AF (UK)
Tel. +44 20 7848 5187, E-Mail email@example.com
Received: March 24, 2011
Accepted after revision: June 11, 2011
Published online: August 12, 2011
Number of Print Pages : 8
Number of Figures : 3, Number of Tables : 0, Number of References : 31
Human Heredity (International Journal of Human and Medical Genetics)
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