Multimorbidity Risk Prediction for Schizophrenia (MRPS)

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Schizophrenia is a multigenic disorder. Individuals with schizophrenia often present with several comorbidities that are diagnosed at varied stages of disease progression. The timely diagnosis of these comorbidities will help in improving treatment outcomes, quality of life and reducing mortality.

Multimorbidity Risk Prediction for Schizophrenia (MRPS) is an open access comorbidity analysis tool developed for predicting the risk of morbidities in schizophrenia, based on shared gene-disease associations.

This tool is based on the meta-analysis of 22 GWA studies and 654 SNPs (P Value < 5 × 10-8). The GWA studies had individuals with SCZ (and no other comorbidities) as case group and healthy individuals as control group. The ethnicity distribution of the 22 GWA studies included Asian (5), European (5), Ashkenazi Jews (1) and mix of east Asian, European and others (11). The gene-disease associations are sourced from GeDiPNet.

This work was funded by Indian Council of Medical Research (ICMR), and Department of Biotechnology (DBT), India.

Citation:

Gawde U, Hegde P, Desai K, Barai R S, Shekhar B R, Das D K, Idicula-Thomas S. Multimorbidity landscape of schizophrenia: Insights from meta-analysis of genome wide association studies. Schizophrenia Research, Volume 243, 2022, Pages 214-216, ISSN 0920-9964, https://doi.org/10.1016/j.schres.2022.03.013.