Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F18%3A10388371" target="_blank" >RIV/00216208:11130/18:10388371 - isvavai.cz</a>
Alternative codes found
RIV/00064203:_____/18:10388371
Result on the web
<a href="https://doi.org/10.1016/j.cell.2018.05.046" target="_blank" >https://doi.org/10.1016/j.cell.2018.05.046</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.cell.2018.05.046" target="_blank" >10.1016/j.cell.2018.05.046</a>
Alternative languages
Result language
angličtina
Original language name
Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10600 - Biological sciences
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Cell
ISSN
0092-8674
e-ISSN
—
Volume of the periodical
173
Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
1705-1715
UT code for WoS article
000437004000018
EID of the result in the Scopus database
2-s2.0-85048172948