Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction

@inproceedings{Ayalew2012ConvergentFG,
  title={Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction},
  author={Mengistu Ayalew and Helen Le-Niculescu and David Levey and Nishi Prakash Jain and B Changala and Sagar D Patel and E Winiger and Alan Breier and Arpana Shekhar and Richard L. Amdur and Daniel L. Koller and John J I Nurnberger and Aiden P. Corvin and Mark A. Geyer and Ming T. Tsuang and Dan Salomon and Nicholas J. Schork and Ayman H. Fanous and Michael C. O'Donovan and Alexander B. Niculescu},
  booktitle={Molecular Psychiatry},
  year={2012}
}
We have used a translational convergent functional genomics (CFG) approach to identify and prioritize genes involved in schizophrenia, by gene-level integration of genome-wide association study data with other genetic and gene expression studies in humans and animal models. Using this polyevidence scoring and pathway analyses, we identify top genes (DISC1, TCF4, MBP, MOBP, NCAM1, NRCAM, NDUFV2, RAB18, as well as ADCYAP1, BDNF, CNR1, COMT, DRD2, DTNBP1, GAD1, GRIA1, GRIN2B, HTR2A, NRG1, RELN… CONTINUE READING
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