Difference between revisions of "Genome Wide Association Studies"

Revision as of 14:46, 5 February 2009

Some people in our group work on genome wide association studies (GWAS).

Many statistical methods are implemented in PLINK.

More sophisticated model based genotype imputation and association testing can be performed using IMPUTE and SNPTEST, or using MACH and [1] ProbABEL.

Our own software for association testing using uncertain genotypes is QUICKTEST.

</biblio>

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-Some people in our group work on genome wide association studies.
+Some people in our group work on genome wide association studies (GWAS).
-A good introduction to the statistical methods used is the tutorial by David Balding <cite>BaldingTutorial</cite>
+== Recommended reading ==
+For an introduction to GWAS, with an emphasis on human studies, you could start with a nice tutorial article <cite>BaldingTutorial</cite>, and a review of more recent issues <cite>McCarthyReview</cite>.  There is also a nice review about approaches for rodent studies <cite>FlintReview</cite>.
+== Statistical Methodology ==
+== Software ==
+Many statistical methods are implemented in
+[http://pngu.mgh.harvard.edu/~purcell/plink PLINK].
+More sophisticated model based genotype imputation and association testing can be performed using
+[http://www.stats.ox.ac.uk/%7Emarchini/software/gwas/gwas.html IMPUTE and SNPTEST],
+or using
+[http://www.sph.umich.edu/csg/abecasis/mach MACH] and
+[http://mga.bionet.nsc.ru/%7Eyurii/ABEL/] ProbABEL.
+Our own software for association testing using uncertain genotypes is
+[http://toby.freeshell.org/software/quicktest.shtml QUICKTEST].
 <biblio>
 # BaldingTutorial pmid=16983374
+# McCarthyReview pmid=18398418
 </biblio>