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Activity Number:
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463
- SPEED: Statistics in Epidemiology and Genomics and Genetics
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Type:
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Contributed
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Date/Time:
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Wednesday, August 2, 2017 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Genomics and Genetics
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Abstract #324544
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View Presentation
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Title:
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Biodemographic Approaches to Genetic Analyzes of Longevity in Longitudinal Data on Aging
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Author(s):
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Konstantin Arbeev* and Ilya Y. Zhbannikov and Olivia Bagley and Anatoliy I. Yashin
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Companies:
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Duke University and Duke University and Duke University and Duke University
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Keywords:
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longitudinal data ;
genetics of longevity ;
mortality ;
polygenic risk score ;
biodemography
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Abstract:
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Modern longitudinal studies often collect genetic information in addition to follow-up data on mortality. Typically, individuals are genotyped at different ages and biospecimen is collected not at the baseline so that for a subsample of study participants only follow up data on mortality (but no genetic data) are available. We demonstrate that biodemographic approaches which use information on ages at biospecimen collection in addition to follow-up data in genotyped individuals (as well as follow up data on non-genotyped participants) can provide a substantial reserve for increase in power in genetic analyses of longevity traits especially for studies with short follow up periods. We developed a software tool implementing such approaches which works with standardized genetic input and different parametric specifications of hazard rates and provides routines for likelihood maximization, statistical inference, data simulation and automated construction and analyses of polygenic risk scores at multiple p-value thresholds. We describe its practical applications to data on mortality in Cardiovascular Health Study from the Candidate Gene Association Resource.
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Authors who are presenting talks have a * after their name.
