Genetic association studies: Design, analysis and interpretation

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Genetic association studies: Design, analysis and interpretation

This paper provides a review of the design and analysis of genetic association studies. In case control studies, the different contingency tables and their relationships to the underlying genetic model are defined. Population stratification is discussed, with suggested methods to identify and correct for the effect. The transmission disequilibrium test is provided as an alternative family-based...

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On the interpretation of genetic association studies.

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Meta-Analysis of Genetic Association Studies

Meta-analysis, a statistical tool for combining results across studies, is becoming popular as a method for resolving discrepancies in genetic association studies. Persistent difficulties in obtaining robust, replicable results in genetic association studies are almost certainly because genetic effects are small, requiring studies with many thousands of subjects to be detected. In this article,...

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Bayesian survival analysis in genetic association studies

MOTIVATION Large-scale genetic association studies are carried out with the hope of discovering single nucleotide polymorphisms involved in the etiology of complex diseases. There are several existing methods in the literature for performing this kind of analysis for case-control studies, but less work has been done for prospective cohort studies. We present a Bayesian method for linking marker...

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Meta-analysis of genetic association studies

Population stratification: occurs when a population consists of a set of subpopulations. If one subpopulation contains a frequency of disease allele that is relatively high, then any marker also at a higher frequency will appear to be associated, wherever it is located in the genome. Transmission disequilibrium test: a method of detecting genetic association that avoids problems of population s...

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ژورنال

عنوان ژورنال: Briefings in Bioinformatics

سال: 2002

ISSN: 1477-4054,1467-5463

DOI: 10.1093/bib/3.2.146