The paper discusses challenges in genetic analysis of deep phenotyping projects in common disorders and highlights advances in imputation and GWAS methods to address these challenges.

Schizophrenia Research · Oct 20, 2017Peer-reviewedGenetics

Common variants of NRXN1, LRP1B and RORA are associated with increased ventricular volumes in psychosis - GWAS findings from the B-SNIP deep phenotyping study

Ney Alliey‐Rodriguez, Tamar A Grey, Rebecca Shafee, Jaya L. Padmanabhan, Neeraj Tandon, Madeline Klinger, Jonathan Spring, Lucas Coppes, Katherine S. Reis, Matcheri S. Keshavan, Diane Gage, Steven A. McCarroll, Jeffrey R. Bishop, Scot Kristian Hill, James L. Reilly, , Elliot S. Gershon

The paper reports GWAS findings linking common variants in NRXN1, LRP1B, and RORA to increased ventricular volumes in psychosis, using deep phenotyping data from 1,115 cases and controls.

bioRxiv · Aug 16, 2017 · PreprintGenetics

Higher genetic risk of schizophrenia is associated with lower cognitive performance in healthy individuals

Rebecca Shafee, Pranav Nanda, Jaya L. Padmanabhan, Neeraj Tandon, Ney Alliey‐Rodriguez, Richard S.E. Keefe, Scot Kristian Hill, Jeffrey R. Bishop, Brett A. Clementz, Carol A. Tamminga, Elliot S. Gershon, Godfrey D. Pearlson, Matcheri S. Keshavan, John A. Sweeney, Elise Robinson, Steven A. McCarroll

The paper investigates the association between schizophrenia genetic risk and cognitive performance in healthy individuals, finding a link with current cognitive abilities but not with premorbid intelligence or education.

bioRxiv · Jan 27, 2017 · PreprintGenetics