Title |
Use of schizophrenia and bipolar disorder polygenic risk scores to identify psychotic disorders
|
---|---|
Published in |
British Journal of Psychiatry, August 2018
|
DOI | 10.1192/bjp.2018.89 |
Pubmed ID | |
Authors |
Maria Stella Calafato, Johan H. Thygesen, Siri Ranlund, Eirini Zartaloudi, Wiepke Cahn, Benedicto Crespo-Facorro, Álvaro Díez-Revuelta, Marta Di Forti, Genetic Risk and Outcome of Psychosis consortium, Mei-Hua Hall, Conrad Iyegbe, Assen Jablensky, Rene Kahn, Luba Kalaydjieva, Eugenia Kravariti, Kuang Lin, Colm McDonald, Andrew M. McIntosh, Andrew McQuillin, Psychosis Endophenotypes International Consortium, Marco Picchioni, Dan Rujescu, Madiha Shaikh, Timothea Toulopoulou, Jim Van Os, Evangelos Vassos, Muriel Walshe, John Powell, Cathryn M. Lewis, Robin M. Murray, Elvira Bramon, Wellcome Trust Case Control Consortium |
Abstract |
There is increasing evidence for shared genetic susceptibility between schizophrenia and bipolar disorder. Although genetic variants only convey subtle increases in risk individually, their combination into a polygenic risk score constitutes a strong disease predictor.AimsTo investigate whether schizophrenia and bipolar disorder polygenic risk scores can distinguish people with broadly defined psychosis and their unaffected relatives from controls. Using the latest Psychiatric Genomics Consortium data, we calculated schizophrenia and bipolar disorder polygenic risk scores for 1168 people with psychosis, 552 unaffected relatives and 1472 controls. Patients with broadly defined psychosis had dramatic increases in schizophrenia and bipolar polygenic risk scores, as did their relatives, albeit to a lesser degree. However, the accuracy of predictive models was modest. Although polygenic risk scores are not ready for clinical use, it is hoped that as they are refined they could help towards risk reduction advice and early interventions for psychosis.Declaration of interestR.M.M. has received honoraria for lectures from Janssen, Lundbeck, Lilly, Otsuka and Sunovian. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 8 | 44% |
Spain | 2 | 11% |
Brazil | 1 | 6% |
Sweden | 1 | 6% |
United States | 1 | 6% |
Unknown | 5 | 28% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 50% |
Scientists | 5 | 28% |
Practitioners (doctors, other healthcare professionals) | 3 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 111 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 20% |
Student > Master | 13 | 12% |
Researcher | 12 | 11% |
Student > Bachelor | 10 | 9% |
Student > Postgraduate | 7 | 6% |
Other | 16 | 14% |
Unknown | 31 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 17% |
Biochemistry, Genetics and Molecular Biology | 14 | 13% |
Neuroscience | 14 | 13% |
Psychology | 12 | 11% |
Agricultural and Biological Sciences | 5 | 5% |
Other | 6 | 5% |
Unknown | 41 | 37% |