Towards understanding the schizophrenia code: an expanded convergent functional genomics approach.

@article{LeNiculescu2007TowardsUT,
  title={Towards understanding the schizophrenia code: an expanded convergent functional genomics approach.},
  author={Helen Le-Niculescu and Yokesh Balaraman and Shilpa C Patel and Jie-qiong Tan and Kanwaljot Singh Sidhu and Ronald E Jerome and Howard J. Edenberg and Ronald Kuczenski and Mark A. Geyer and John J I Nurnberger and Stephen V Faraone and Ming T. Tsuang and Alexander B. Niculescu},
  journal={American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics},
  year={2007},
  volume={144B 2},
  pages={129-58}
}
Identifying genes for schizophrenia through classical genetic approaches has proven arduous. Here, we present a comprehensive convergent analysis that translationally integrates brain gene expression data from a relevant pharmacogenomic mouse model (involving treatments with a psychomimetic agent - phencyclidine (PCP), and an anti-psychotic - clozapine), with human genetic linkage data and human postmortem brain data, as a Bayesian strategy of cross validating findings. Topping the list of… CONTINUE READING

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