Schizophrenia and bipolar disorder are two distinct diagnoses that share symptomology. Understanding the genetic factors contributing to the shared and disorder-specific symptoms will be crucial for improving diagnosis and treatment. In genetic data consisting of 53,555 cases (20,129 bipolar disorder [BD], 33,426 schizophrenia [SCZ]) and 54,065 controls, we identified 114 genome-wide significant loci implicating synaptic and neuronal pathways shared between disorders. Comparing SCZ to BD (23,585 SCZ, 15,270 BD) identified four genomic regions including one with disorder-independent causal variants and potassium ion response genes as contributing to differences in biology between the disorders. Polygenic risk score (PRS) analyses identified several significant correlations within case-only phenotypes including SCZ PRS with psychotic features and age of onset in BD. For the first time, we discover specific loci that distinguish between BD and SCZ and identify polygenic components underlying multiple symptom dimensions. These results point to the utility of genetics to inform symptomology and potential treatment. Genetic analysis of multiple bipolar disorder and schizophrenia cohorts reveals loci and polygenic risk scores that differentiate the clinical symptoms of these two highly correlated disorders.

Ruderfer, D.M., Ripke, S., McQuillin, A., Boocock, J., Stahl, E.A., Pavlides, J.M.W., et al. (2018). Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes. CELL, 173(7), 1705-1715.e16 [10.1016/j.cell.2018.05.046].

Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

Serretti, Alessandro;
2018

Abstract

Schizophrenia and bipolar disorder are two distinct diagnoses that share symptomology. Understanding the genetic factors contributing to the shared and disorder-specific symptoms will be crucial for improving diagnosis and treatment. In genetic data consisting of 53,555 cases (20,129 bipolar disorder [BD], 33,426 schizophrenia [SCZ]) and 54,065 controls, we identified 114 genome-wide significant loci implicating synaptic and neuronal pathways shared between disorders. Comparing SCZ to BD (23,585 SCZ, 15,270 BD) identified four genomic regions including one with disorder-independent causal variants and potassium ion response genes as contributing to differences in biology between the disorders. Polygenic risk score (PRS) analyses identified several significant correlations within case-only phenotypes including SCZ PRS with psychotic features and age of onset in BD. For the first time, we discover specific loci that distinguish between BD and SCZ and identify polygenic components underlying multiple symptom dimensions. These results point to the utility of genetics to inform symptomology and potential treatment. Genetic analysis of multiple bipolar disorder and schizophrenia cohorts reveals loci and polygenic risk scores that differentiate the clinical symptoms of these two highly correlated disorders.
2018
Ruderfer, D.M., Ripke, S., McQuillin, A., Boocock, J., Stahl, E.A., Pavlides, J.M.W., et al. (2018). Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes. CELL, 173(7), 1705-1715.e16 [10.1016/j.cell.2018.05.046].
Ruderfer, Douglas M.; Ripke, Stephan; McQuillin, Andrew; Boocock, James; Stahl, Eli A.; Pavlides, Jennifer M. Whitehead; Mullins, Niamh; Charney, Alex...espandi
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Descrizione: Figure S2: Figure S2. Related to Figure 1b. Regional Association Plot and Forest Plot for the Second Genome-wide Significant Hit in the SCZ vs BD GWAS.
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Descrizione: Figure S3. Related to Summary-data-based Mendelian Randomization. Detailed Association of DCAKD from SMR. Results at the DCAKD locus from SMR analysis of SCZ vs BD. Top plot, brown dots represent the P values for SNPs from SCZ vs BD GWAS, diamonds represent the P values for probes from the SMR test. Bottom plot, the eQTL P values of SNPs from the Westra study for the ILMN_1811648 probe tagging DCAKD. The top and bottom plots include all the SNPs available in the region in the GWAS and eQTL summary data, respectively, rather than only the SNPs common to both data sets. Highlighted in red is the gene (DCAKD) that passed the SMR and HEIDI tests.
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Descrizione: Figure S4: Figure S4. Related to Regional SNP-heritability estimation. Heritability Estimates for BD and SCZ in Genome-wide Significant Regions of BD and SCZ. Regional SNP-heritability estimates for SCZ and BD stratified by whether the region contains the most significant variant in a genome-wide significant locus in BD, SCZ, neither or both.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/659296
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