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Statistical methodology for testing genetic association in family-based studies

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posted on 2024-09-02, 23:47 authored by Gudrun Jonasdottir

This thesis is concerned with family-based studies of association between genetic markers and binary traits. A special point of interest in family-based association studies is to separate the within family correlation and the genetic effect common among all families in the study. In family-based studies of quantitative traits within family trait correlation is explicitly modeled in terms of both alleles shared identical by descent and common environment. We have extended this notion to a binary trait setting, and formulate a generalized linear mixed model based on a log-log link and gamma distributed random effects capturing the within family correlation induced by linkage. The genetic effect common among all families is captured in the linear predictor of the model.

We show that the model can be used to construct tests for a variety of situations; for testing association between single markers and a trait, for testing association between multiple markers (jointly) and a trait, and for testing association between a single marker and two diseases jointly. We have evaluated the model in four papers and show that the power of the test is up to double that of the gold standard for testing association in the presence of linkage - the Family-Based Association Test (FBAT).

List of scientific papers

I. Jonasdottir G, Palmgren J, Humphreys K (2005). Analysis of binary traits: testing association in the presence of linkage. BMC Genet. 6 Suppl 1: S92 [Epub ahead of print]
https://pubmed.ncbi.nlm.nih.gov/16451708

II. Jonasdottir G, Humphreys K, Palmgren J (2007). Testing association in the presence of linkage--a powerful score for binary traits. Genet Epidemiol. 31(6): 528-40
https://pubmed.ncbi.nlm.nih.gov/17436308

III. Jonasdottir G, Becker T, Humphreys K, Palmgren J (2008). Testing association in the presence of linkage using the GRE and multiple markers. Genet Epidemiol. Feb 12: Epub ahead of print
https://pubmed.ncbi.nlm.nih.gov/18271023

IV. Jonasdottir G, Humphreys K, Palmgren J (2008). Testing association in familybased studies of bivariate (co-morbid) traits. [Submitted]

History

Defence date

2008-05-16

Department

  • Department of Medical Epidemiology and Biostatistics

Publication year

2008

Thesis type

  • Doctoral thesis

ISBN

978-91-7357-540-9

Number of supporting papers

4

Language

  • eng

Original publication date

2008-04-25

Author name in thesis

Jonasdottir, Gudrun

Original department name

Department of Medical Epidemiology and Biostatistics

Place of publication

Stockholm

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