Statistical_models_for_GWAS_H3ABioNet_2018_GWAS_Lecture_7.pdf (2.54 MB)
Statistical models used for GWAS - Lecture 7 H3ABioNet 2018 GWAS Lecture series
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posted on 2018-09-11, 08:55 authored by Cheikh LoucoubarStatistical
models used for GWAS
The seventh and
last lecture of the
H3ABioNet 2018 GWAS
lecture series will
cover different types
of GWAS depending on
data designs:
Population-based GWAS
(for case/control
design or for
quantitative traits)
and Family-based GWAS
(for independent trio
data or large
pedigrees). This
lecture will also
provide an overview of
test statistics for
multi-marker
association testing in
both type of GWAS. It
will discuss the
problem of multiple
testing, the principal
of family wise error
rate (FWER) and some
proposed methods for
P-values correction.
The lecture will
finally present a set
of tools to perform
GWAS and to represent
results.
Funding
Research reported in this publication was supported by the National Human Genome Research Institute of the National Institutes of Health under Award Number U24HG006941. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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Keywords
Population geneticsPopulation genomicsComputational biologyBioinformaticsGenotyping experimentGenome wide association study (GWAS)Statistical modelsMultiple testingPopulation stratificationLinkage disequilibriumAssociation statisticsCorrection for multiple testingBioinformaticsComputational BiologyGeneticsGenomicsPopulation, Ecological and Evolutionary Genetics
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