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Predicting Disease Onset from Mutation Status Using Proband and Relative Data with Applications to Huntington's Disease

DOI: 10.1155/2012/375935

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Abstract:

Huntington's disease (HD) is a progressive neurodegenerative disorder caused by an expansion of CAG repeats in the IT15 gene. The age-at-onset (AAO) of HD is inversely related to the CAG repeat length and the minimum length thought to cause HD is 36. Accurate estimation of the AAO distribution based on CAG repeat length is important for genetic counseling and the design of clinical trials. In the Cooperative Huntington's Observational Research Trial (COHORT) study, the CAG repeat length is known for the proband participants. However, whether a family member shares the huntingtin gene status (CAG expanded or not) with the proband is unknown. In this work, we use the expectation-maximization (EM) algorithm to handle the missing huntingtin gene information in first-degree family members in COHORT, assuming that a family member has the same CAG length as the proband if the family member carries a huntingtin gene mutation. We perform simulation studies to examine performance of the proposed method and apply the methods to analyze COHORT proband and family combined data. Our analyses reveal that the estimated cumulative risk of HD symptom onset obtained from the combined data is slightly lower than the risk estimated from the proband data alone. 1. Introduction Huntington’s disease (HD) is a severe, autosomal dominantly inherited neurodegenerative disorder that affects motor, cognitive, and psychiatric function and is uniformly fatal. HD is caused by the expansion of CAG trinucleotide repeats at the huntingtin gene (IT15) [1, 2]. Affected individuals typically begin to show motor signs around 30–50 years of age and typically die 15–20 years after the disease onset [3]. Despite identification of the causative gene, there is currently no treatment that modifies disease progression. One large genetic epidemiological study of HD, the Cooperative Huntington’s Observational Research Trial (COHORT), including 42 Huntington study group research centers in North America and Australia, was initiated in 2005 and concluded in 2011 [4–6]. Participants in COHORT (probands) underwent a clinical evaluation and DNA from whole blood was genotyped for the length of the CAG-repeat huntingtin mutation. Since 2005, COHORT probands from sites with IRB approval have participated in family history interviews and have provided information on HD affection status in their family members. While CAG repeat length is ascertained in probands, the high cost of conducting in-person interviews of family members prevents the collection of all family members’ blood samples. However, family

References

[1]  C. A. Ross, “When more is less: pathogenesis of glutamine repeat neurodegenerative diseases,” Neuron, vol. 15, no. 3, pp. 493–496, 1995.
[2]  C. A. Ross and S. J. Tabrizi, “Huntington's disease: from molecular pathogenesis to clinical treatment,” The Lancet Neurology, vol. 10, pp. 83–98, 2010.
[3]  T. Foroud, J. Gray, J. Ivashina, and P. M. Conneally, “Differences in duration of Huntington's disease based on age at onset,” Journal of Neurology Neurosurgery and Psychiatry, vol. 66, no. 1, pp. 52–56, 1999.
[4]  K. Kieburtz and Huntington Study Group, “The unified Huntington's disease rating scale: reliability and consistency,” Movement Disorder, vol. 11, pp. 136–142, 1996.
[5]  E. R. Dorsey, C. A. Beck, M. Adams, et al., “TREND-HD communicating clinical trial results to research participants,” Archives of Neurology, vol. 65, no. 12, pp. 1590–1595, 2008.
[6]  E. R. Dorsey and Huntington Study Group COHORT Investigators, “Characterization of a large group of individuals with Huntington disease and their relatives enrolled in the COHORT study,” PLoS ONE, vol. 7, no. 2, Article ID e29522, 2012.
[7]  D. Falush, E. W. Almqvist, R. R. Brinkmann, Y. Iwasa, and M. R. Hayden, “Measurement of mutational flow implies both a high new-mutation rate for huntington disease and substantial under ascertainment of late-onset cases,” The American Journal of Human Genetics, vol. 68, pp. 373–385, 2000.
[8]  Y. Wang, L. N. Clark, E. D. Louis et al., “Risk of Parkinson disease in carriers of Parkin mutations: estimation using the kin-cohort method,” Archives of Neurology, vol. 65, no. 4, pp. 467–474, 2008.
[9]  D. C. Rubinsztein, J. Leggo, R. Coles et al., “Phenotypic characterization of individuals with 30–40 CAG repeats in the Huntington disease (HD) gene reveals HD cases with 36 repeats and apparently normal elderly individuals with 36–39 repeats,” American Journal of Human Genetics, vol. 59, no. 1, pp. 16–22, 1996.
[10]  D. R. Langbehn, R. R. Brinkman, D. Falush, J. S. Paulsen, and M. R. Hayden, “A new model for prediction of the age of onset and penetrance for Huntington's disease based on CAG length,” Clinical Genetics, vol. 65, no. 4, pp. 267–277, 2004.
[11]  O. C. Stine, N. Pleasant, M. L. Franz, M. H. Abbott, S. E. Folstein, and C. A. Ross, “Correlation between the onset age of Huntington's disease and length of the trinucleotide repeat in IT-15,” Human Molecular Genetics, vol. 2, no. 10, pp. 1547–1549, 1993.
[12]  C. Gutierrez and A. MacDonald, Huntington Disease and Insurance. I: A Model of Huntington Disease, Genetics and Insurance Research Centre (GIRC), Edinburgh, UK, 2002.
[13]  C. Gutierrez and A. MacDonald, “Huntington disease, critical illness insurance and life insurance,” Scandinavian Actuarial Journal, vol. 4, pp. 279–313, 2004.
[14]  D. R. Langbehn, M. R. Hayden, and J. S. Paulsen, “CAG-repeat length and the age of onset in Huntington disease (HD): a review and validation study of statistical approaches,” American Journal of Medical Genetics, vol. 153, no. 2, pp. 397–408, 2010.
[15]  T. Louis, “Finding the observed information matrix when using the EM algorithm,” Journal of the Royal Statistical Society, Series B, vol. 44, pp. 226–233, 1982.
[16]  N. M. Laird and J. H. Ware, “Random-effects models for longitudinal data,” Biometrics, vol. 38, no. 4, pp. 963–974, 1982.
[17]  K. Marder, G. Levy, E. D. Louis et al., “Accuracy of family history data on Parkinson's disease,” Neurology, vol. 61, no. 1, pp. 18–23, 2003.
[18]  J. Kang, J. Cho, and H. Zhao, “Practical issues in building risk-predicting models for complex diseases,” Journal of Biopharmaceutical Statistics, vol. 20, no. 2, pp. 415–440, 2010.
[19]  B. Kremer, E. Almqvist, J. Theilmann et al., “Sex-dependent mechanisms for expansions and contractions of the CAG repeat on affected Huntington disease chromosomes,” American Journal of Human Genetics, vol. 57, no. 2, pp. 343–350, 1995.
[20]  C. T. McMurray, “Mechanisms of trinucleotide repeat instability during human development,” Nature Reviews Genetics, vol. 11, no. 11, pp. 786–799, 2010.
[21]  R. R. Brinkman, M. M. Mezei, J. Theilmann, E. Almqvist, and M. R. Hayden, “The likelihood of being affected with Huntington disease by a particular age, for a specific CAG size,” The American Journal of Human Genetics, vol. 60, no. 5, pp. 1202–1210, 1997.

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