A parametric model for analyzing anticipation in genetically predisposed families
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A parametric model for analyzing anticipation in genetically predisposed families. / Larsen, Klaus; Petersen, Janne; Bernstein, Inge; Nilbert, Mef; Larsen, Klaus; Petersen, Janne; Bernstein, Inge; Nilbert, Mef.
In: Statistical Applications in Genetics and Molecular Biology, Vol. 8, No. 1, 2009, p. Article26.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - A parametric model for analyzing anticipation in genetically predisposed families
AU - Larsen, Klaus
AU - Petersen, Janne
AU - Bernstein, Inge
AU - Nilbert, Mef
AU - Larsen, Klaus
AU - Petersen, Janne
AU - Bernstein, Inge
AU - Nilbert, Mef
N1 - Keywords: Age of Onset; Anticipation, Genetic; Colorectal Neoplasms, Hereditary Nonpolyposis; Family; Humans; Kaplan-Meiers Estimate; Models, Genetic; Models, Statistical
PY - 2009
Y1 - 2009
N2 - Anticipation, i.e. a decreasing age-at-onset in subsequent generations has been observed in a number of genetically triggered diseases. The impact of anticipation is generally studied in affected parent-child pairs. These analyses are restricted to pairs in which both individuals have been affected and are sensitive to right truncation of the data. We propose a normal random effects model that allows for right-censored observations and includes covariates, and draw statistical inference based on the likelihood function. We applied the model to the hereditary nonpolyposis colorectal cancer (HNPCC)/Lynch syndrome family cohort from the national Danish HNPCC register. Age-at-onset was analyzed in 824 individuals from 2-4 generations in 125 families with proved disease-predisposing mutations. A significant effect from anticipation was identified with a mean of 3 years earlier age-at-onset per generation. The suggested model corrects for incomplete observations and considers families rather than affected pairs and thereby allows for studies of large sample sets, facilitates subgroup analyses and provides generation effect estimates.
AB - Anticipation, i.e. a decreasing age-at-onset in subsequent generations has been observed in a number of genetically triggered diseases. The impact of anticipation is generally studied in affected parent-child pairs. These analyses are restricted to pairs in which both individuals have been affected and are sensitive to right truncation of the data. We propose a normal random effects model that allows for right-censored observations and includes covariates, and draw statistical inference based on the likelihood function. We applied the model to the hereditary nonpolyposis colorectal cancer (HNPCC)/Lynch syndrome family cohort from the national Danish HNPCC register. Age-at-onset was analyzed in 824 individuals from 2-4 generations in 125 families with proved disease-predisposing mutations. A significant effect from anticipation was identified with a mean of 3 years earlier age-at-onset per generation. The suggested model corrects for incomplete observations and considers families rather than affected pairs and thereby allows for studies of large sample sets, facilitates subgroup analyses and provides generation effect estimates.
U2 - 10.2202/1544-6115.1424
DO - 10.2202/1544-6115.1424
M3 - Journal article
C2 - 19492984
VL - 8
SP - Article26
JO - Statistical Applications in Genetics and Molecular Biology
JF - Statistical Applications in Genetics and Molecular Biology
SN - 1544-6115
IS - 1
ER -
ID: 21454389