Indian Society of Genetics & Plant Breeding
Genetic association tests provide clues on chromosomal
locations of putative genes underlying complex traits, both
qualitative (such as disease status) and quantitative (such
as measurable precursors of clinical outcomes). One can
adopt either a population-based or a family-based study
design to generate genotype and phenotype data necessary
to carry out the tests of association. In this article, we
provide an overview of the two contrasting study designs,
the statistical issues pertaining to each of these study
designs as well as their relative advantages and
disadvantages. We also outline the current statistical
challenges in interpreting association findings in the
presence of population stratification and in carrying out
appropriate comparisons of the powers of the association
tests based on the two study designs.
Keywords: Association mapping, quantitative traits, binary traits, population startification
Year: 2019
Volume: 79
Issue: 1, Supplement
Article DOI: 10.31742/IJGPB.79S.1.19
Print ISSN: 0019-5200
Online ISSN: 0975-6906
Saurabh Ghosh* and Tanushree Haldar info_circle
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