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Peter R Schofield

Showing results (281-290 of 337) with videos related to

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Nature Communications|September 28, 2018
Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volumeDina Vojinovic, Hieab H Adams, Xueqiu Jian, et al.
JAMA Psychiatry|November 10, 2017
Association of Polygenic Score for Schizophrenia and HLA Antigen and Inflammation Genes With Response to Lithium in Bipolar Affective Disorder: A Genome-Wide Association Study, Azmeraw T Amare, Klaus Oliver Schubert, et al.
Nature Communications|September 23, 2020
Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adultsEdith Hofer, Gennady V Roshchupkin, Hieab H H Adams, et al.
Complex Psychiatry|November 21, 2022
Association of Attention-Deficit/Hyperactivity Disorder and Depression Polygenic Scores with Lithium Response: A Consortium for Lithium Genetics StudyBrandon J Coombes, Vincent Millischer, Anthony Batzler, et al.
Molecular Psychiatry|March 24, 2020
Association of polygenic score for major depression with response to lithium in patients with bipolar disorderAzmeraw T Amare, Klaus Oliver Schubert, Liping Hou, et al.
Translational Psychiatry|November 30, 2021
Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patientsKlaus Oliver Schubert, Anbupalam Thalamuthu, Azmeraw T Amare, et al.
The British Journal of Psychiatry : the Journal of Mental Science|February 28, 2022
Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approachMicah Cearns, Azmeraw T Amare, Klaus Oliver Schubert, et al.
Human Brain Mapping|October 7, 2020
Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorderSonja M C de Zwarte, Rachel M Brouwer, Ingrid Agartz, et al.
The British Journal of Psychiatry : the Journal of Mental Science|May 4, 2022
Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach - CORRIGENDUMMicah Cearns, Azmeraw T Amare, Klaus Oliver Schubert, et al.
Translational Psychiatry|July 11, 2022
Correction: Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patientsKlaus Oliver Schubert, Anbupalam Thalamuthu, Azmeraw T Amare, et al.
Pageof 34

Showing results (281-290 of 337) with videos related to

Sort By:
Pageof 34
Nature Communications|September 28, 2018
Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volumeDina Vojinovic, Hieab H Adams, Xueqiu Jian, et al.
JAMA Psychiatry|November 10, 2017
Association of Polygenic Score for Schizophrenia and HLA Antigen and Inflammation Genes With Response to Lithium in Bipolar Affective Disorder: A Genome-Wide Association Study, Azmeraw T Amare, Klaus Oliver Schubert, et al.
Nature Communications|September 23, 2020
Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adultsEdith Hofer, Gennady V Roshchupkin, Hieab H H Adams, et al.
Complex Psychiatry|November 21, 2022
Association of Attention-Deficit/Hyperactivity Disorder and Depression Polygenic Scores with Lithium Response: A Consortium for Lithium Genetics StudyBrandon J Coombes, Vincent Millischer, Anthony Batzler, et al.
Molecular Psychiatry|March 24, 2020
Association of polygenic score for major depression with response to lithium in patients with bipolar disorderAzmeraw T Amare, Klaus Oliver Schubert, Liping Hou, et al.
Translational Psychiatry|November 30, 2021
Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patientsKlaus Oliver Schubert, Anbupalam Thalamuthu, Azmeraw T Amare, et al.
The British Journal of Psychiatry : the Journal of Mental Science|February 28, 2022
Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approachMicah Cearns, Azmeraw T Amare, Klaus Oliver Schubert, et al.
Human Brain Mapping|October 7, 2020
Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorderSonja M C de Zwarte, Rachel M Brouwer, Ingrid Agartz, et al.
The British Journal of Psychiatry : the Journal of Mental Science|May 4, 2022
Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach - CORRIGENDUMMicah Cearns, Azmeraw T Amare, Klaus Oliver Schubert, et al.
Translational Psychiatry|July 11, 2022
Correction: Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patientsKlaus Oliver Schubert, Anbupalam Thalamuthu, Azmeraw T Amare, et al.
Pageof 34