Bootstrap calibration of TRANSMIT for informative missingness of parental genotype

• Type of Material: Conference Paper
• Authors: Andrew S Allen, Duke University; Julianne S Collins, Greenwood Genetic Center; Paul J Rathouz, University of Chicago; Craig L Selander, Greenwood Genetic Center; Glen Alan Satten, Emory University
• Language: English
• Date: 2003-12-31
• Publisher: Emory University Libraries
• Publication Version: Final Published Version
• Copyright Statement: © 2003 Allen et al; licensee BioMed Central Ltd
• License: Creative Commons Attribution 2.0 Generic
• Final Published Version (URL): http://dx.doi.org/10.1186/1471-2156-4-S1-S39
• Title of Journal or Parent Work: BMC Genetics
• Conference or Event Name: 13th Genetic Analysis Workshop
• Volume: 4
• Issue: Suppl 1
• Start Page: S39
• End Page: S39
• Keywords: Genetics & Heredity; ASSOCIATION; Science & Technology; DESIGN; BLOOD-PRESSURE; Life Sciences & Biomedicine; LINKAGE
• Research Categories: Biology, Bioinformatics; Biology, Biostatistics

Abstract

Informative missingness of parental genotype data occurs when the genotype of a parent influences the probability of the parent's genotype data being observed. Informative missingness can occur in a number of plausible ways and can affect both the validity and power of procedures that assume the data are missing at random (MAR). We propose a bootstrap calibration of MAR procedures to account for informative missingness and apply our methodology to refine the approach implemented in the TRANSMIT program. We illustrate this approach by applying it to data on hypertensive probands and their parents who participated in the Framingham Heart Study.