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Statistical Genetics

This group, which started in January 2012, has a goal of elucidating the genetic architecture of mental health disorders and other complex traits by ensuring that all the data available is utilized in an appropriate fashion. Dr. Knight and her three trusty graduate students (Sarah Gagliano, Sejal Patel and Jennie Pouget) work on a wide range of different types of experiments such as genome-wide association studies, next-generation sequencing projects and epigenetic analysis.

 

(l-r) Jo Knight, Sarah Gagliano, Reena Ravji (undergraduate placement student from Feb.- Aug. 2014), Sejal Patel, Jennie Pouget and Hance Clarke (CIHR Stage Mentee from Sept. 2013-2015).

In some cases they develop new techniques; one ongoing project is developing techniques to incorporate functional information into prioritization of follow-up targets from genome-wide association studies (Gagliano S et al.). In another they are combining Gene Ontology data with association statistics (Patel S et.al). The group also works on applied projects investigating a variety of phenotypes including psychiatric and autoimmune disorders as well as pharmacogenetics (e.g. Pouget et al and Knight et al.). They have wide ranging collaborations both in Canada and further afield including the United Kingdom, Israel and the United States.  

​Selected papers and abstracts

• Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature. (in press)
• Sarah A Gagliano, Michael R Barnes, Michael E. Weale and Jo Knight, "A Bayesian Method to Incorporate Hundreds of Functional Characteristics with Association Evidence to Improve Variant Prioritization", PloS One. 10.1371/journal.pone.0098122.
• Navarini A, Simpson M, Weale M, Knight J, Carlavan I, Reiniche P, Burden D, Layton A, Bataille V, Allen M, Pleass R, Pink A, Creamer D, English J, Munn S, Walton S, Willis C, et al., "Genome-wide association study identifies three novel susceptibility loci for severe acne vulgaris", Nature Communications
• Sarah  Gagliano, Arun K. Tiwari, Natalie Freeman, Jeffrey A. Lieberman, Herbert Y. Meltzer, James L. Kennedy, Jo Knight, Daniel J. Müller. (2014) Protein kinase cAMP-dependent regulatory type II beta (PRKAR2B) gene variants in antipsychotic-induced weight gain. Human Psychopharmacology: Clinical and Experimental 2014 Apr 16. doi: 10.1002/hup.2407.
• Novel bioinformatics driven imaging-genetics approach exploring the aetiology of Alzheimer’s disease Sejal Patel, Min Tae M. Park, Jon Pipitone, M. Mallar Chakravarty and Jo Knight, Organization for Human Brain Mapping, 2014.
• Hypothesis-driven genome-wide association study (GWAS) analysis highlights the role of immune genes in the extended major histocompatibility complex (xMHC) in schizophrenia Jennie G. Pouget, Vanessa F. Gonçalves, Virginia Misener, James L. Kennedy, Jo Knight. Biological Psychiatry, 2014.
• Jo Knight, Shannon Collinson, Natalie Freeman, Maria Tampakeras, Joseph Levy, Amir Tchelet, Eli Eyal, Elijahu Berkovich, Rom Eliaz, Victor Abler, Iris Grossman, Arun Tiwari, James L. Kennedy, Mario Masellis, Anthony E. Lang on behalf of the ADAGIO investigators. American Society of Human Genetics, 2014.

Members

Head: Dr. Jo Knight
Graduate students: Sarah Gagliano, Sejal Patel, Jennie Pouget

 

 

 

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 Related Links

 
Bayes Factor and Code​​ 
(zip file)
Functional characteristics, prediction values, Bayes factors for annotation (BFannot) and R code to derive Bayes factors for association (BFassoc) as described in: A Bayesian Method to Incorporate Hundreds of Functional Characteristics with Association Evidence to Improve Variant Prioritization
Sarah A Gagliano, Michael R Barnes, Michael E Weale and Jo Knight, PloS One (2014).


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