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Updated: Feb 4, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Transmission-based association mapping of triglyceride levels in a longitudinal framework using quasi-likelihood
Hemant Kulkarni1, Indranil Mukhopadhyay1, Saurabh Ghosh1
1Human Genetics Unit, Indian Statistical Institute, 203 BT Road, Kolkata, India.
Abstract:
Complex genetic traits are often characterized by multiple quantitative phenotypes. Because values of such phenotypes vary over time, it is thought that analyses of longitudinal data on the phenotypes may lead to increased power in detecting genetic association. In this paper, we extend a transmission-based association test applying quasi-likelihood that has been developed by us to the longitudinal framework and to carry out a genome-wide association analysis of triglyceride levels based on the data provided in GAW20. We consider different phenotype definitions based on administration of fenofibrate and obtain significant association findings within genes involved in heart diseases.
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