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Clinical and genetic correlates of severity in schizophrenia in India: an ordinal logistic regression approach
Authors:Thomas Pramod  Chandra Abha  Bhatia Triptish  Mishra N N  Sharma Vikash Ranjan  Gauba Deepak  Wood Joel  Chowdari Kodavali  Semwal Prachi  Thelma B K  Nimgaonkar Vishwajit L  Deshpande Smita N
Affiliation:
  • a Training Program for Psychiatric Genetics in India, Dr RML Hospital, New Delhi, India
  • b Meerut College, C.C.S University, Meerut- U.P, India
  • c Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
  • d Department of Genetics, University of Delhi South Campus, New Delhi-110021, India
  • e Department of Human Genetics, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA, USA
  • f Department of Psychiatry, PGIMER-Dr. Ram Manohar Lohia Hospital, New Delhi, India
  • Abstract:Genetic association studies of schizophrenia typically utilize diagnostic status as the trait of interest. Among Indian schizophrenia (SZ) participants, we evaluated genetic associations (selected single nucleotide polymorphisms (SNPs) associated with SZ) with selected indices of severity and symptom pattern. Ordinal logistic regression enabled us to analyze variables with multiple categories as outcome variables, while incorporating key demographic variables; this form of analysis may be useful in future genetic association studies. No significant associations were detected following corrections for multiple comparisons.
    Keywords:Schizophrenia  Genetics  Severity
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