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M McIntosh

Showing results (761-770 of 805) with videos related to

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Nature Genetics|June 22, 2026
Co-expression-based models improve eQTL predictions for transcriptome-wide association studies and highlight new schizophrenia-associated genesFabiana Rossi, Leonardo Sportelli, Gianluca C Kikidis, et al.
Molecular Psychiatry|May 4, 2016
Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working GroupL Schmaal, D P Hibar, P G Sämann, et al.
Nature Human Behaviour|July 31, 2019
New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disordersEvangelos Evangelou, He Gao, Congying Chu, et al.
Neuropsychology|April 3, 2023
Concurrent validity and reliability of suicide risk assessment instruments: A meta-analysis of 20 instruments across 27 international cohortsAdrian I Campos, Laura S Van Velzen, Dick J Veltman, et al.
Human Brain Mapping|October 19, 2020
In vivo hippocampal subfield volumes in bipolar disorder-A mega-analysis from The Enhancing Neuro Imaging Genetics through Meta-Analysis Bipolar Disorder Working GroupUnn K Haukvik, Tiril P Gurholt, Stener Nerland, et al.
Biological Psychiatry|January 5, 2017
An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression PhenotypeNese Direk, Stephanie Williams, Jennifer A Smith, et al.
Translational Psychiatry|March 29, 2017
Genetic effects influencing risk for major depressive disorder in China and EuropeT B Bigdeli, S Ripke, R E Peterson, et al.
The Lancet. Psychiatry|October 23, 2020
A large-scale genome-wide association study meta-analysis of cannabis use disorderEmma C Johnson, Ditte Demontis, Thorgeir E Thorgeirsson, et al.
Genome Biology|June 30, 2021
Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of agingDaniel L McCartney, Josine L Min, Rebecca C Richmond, et al.
Nature|April 9, 2022
Rare coding variants in ten genes confer substantial risk for schizophreniaTarjinder Singh, Timothy Poterba, David Curtis, et al.
Pageof 81

Showing results (761-770 of 805) with videos related to

Sort By:
Pageof 81
Nature Genetics|June 22, 2026
Co-expression-based models improve eQTL predictions for transcriptome-wide association studies and highlight new schizophrenia-associated genesFabiana Rossi, Leonardo Sportelli, Gianluca C Kikidis, et al.
Molecular Psychiatry|May 4, 2016
Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working GroupL Schmaal, D P Hibar, P G Sämann, et al.
Nature Human Behaviour|July 31, 2019
New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disordersEvangelos Evangelou, He Gao, Congying Chu, et al.
Neuropsychology|April 3, 2023
Concurrent validity and reliability of suicide risk assessment instruments: A meta-analysis of 20 instruments across 27 international cohortsAdrian I Campos, Laura S Van Velzen, Dick J Veltman, et al.
Human Brain Mapping|October 19, 2020
In vivo hippocampal subfield volumes in bipolar disorder-A mega-analysis from The Enhancing Neuro Imaging Genetics through Meta-Analysis Bipolar Disorder Working GroupUnn K Haukvik, Tiril P Gurholt, Stener Nerland, et al.
Biological Psychiatry|January 5, 2017
An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression PhenotypeNese Direk, Stephanie Williams, Jennifer A Smith, et al.
Translational Psychiatry|March 29, 2017
Genetic effects influencing risk for major depressive disorder in China and EuropeT B Bigdeli, S Ripke, R E Peterson, et al.
The Lancet. Psychiatry|October 23, 2020
A large-scale genome-wide association study meta-analysis of cannabis use disorderEmma C Johnson, Ditte Demontis, Thorgeir E Thorgeirsson, et al.
Genome Biology|June 30, 2021
Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of agingDaniel L McCartney, Josine L Min, Rebecca C Richmond, et al.
Nature|April 9, 2022
Rare coding variants in ten genes confer substantial risk for schizophreniaTarjinder Singh, Timothy Poterba, David Curtis, et al.
Pageof 81