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Using multivariate endophenotypes to identify psychophysiological mechanisms associated with polygenic scores for substance use, schizophrenia, and education attainment.

Psychological medicine

Harper J, Liu M, Malone SM, McGue M, Iacono WG, Vrieze SI.
PMID: 33731234
Psychol Med. 2021 Mar 18;1-11. doi: 10.1017/S0033291721000763. Epub 2021 Mar 18.

BACKGROUND: To better characterize brain-based mechanisms of polygenic liability for psychopathology and psychological traits, we extended our previous report (Liu et al. Psychophysiological endophenotypes to characterize mechanisms of known schizophrenia genetic loci. Psychological Medicine, 2017), focused solely on schizophrenia,...

Cite
Harper J, Liu M, Malone SM, et al. Using multivariate endophenotypes to identify psychophysiological mechanisms associated with polygenic scores for substance use, schizophrenia, and education attainment. Psychol Med. 2021;1-11doi: 10.1017/S0033291721000763.
Harper, J., Liu, M., Malone, S. M., McGue, M., Iacono, W. G., & Vrieze, S. I. (2021). Using multivariate endophenotypes to identify psychophysiological mechanisms associated with polygenic scores for substance use, schizophrenia, and education attainment. Psychological medicine, 1-11. https://doi.org/10.1017/S0033291721000763
Harper, Jeremy, et al. "Using multivariate endophenotypes to identify psychophysiological mechanisms associated with polygenic scores for substance use, schizophrenia, and education attainment." Psychological medicine vol. (2021): 1-11. doi: https://doi.org/10.1017/S0033291721000763
Harper J, Liu M, Malone SM, McGue M, Iacono WG, Vrieze SI. Using multivariate endophenotypes to identify psychophysiological mechanisms associated with polygenic scores for substance use, schizophrenia, and education attainment. Psychol Med. 2021 Mar 18;1-11. doi: 10.1017/S0033291721000763. Epub 2021 Mar 18. PMID: 33731234; PMCID: PMC8448784.
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Genetic correlation, pleiotropy, and causal associations between substance use and psychiatric disorder.

Psychological medicine

Jang SK, Saunders G, Liu M, Jiang Y, Liu DJ, Vrieze S.
PMID: 32762793
Psychol Med. 2020 Aug 07;1-11. doi: 10.1017/S003329172000272X. Epub 2020 Aug 07.

BACKGROUND: Substance use occurs at a high rate in persons with a psychiatric disorder. Genetically informative studies have the potential to elucidate the etiology of these phenomena. Recent developments in genome-wide association studies (GWAS) allow new avenues of investigation.METHOD:...

Cite
Jang SK, Saunders G, Liu M. Genetic correlation, pleiotropy, and causal associations between substance use and psychiatric disorder. Psychol Med. 2020;1-11doi: 10.1017/S003329172000272X.
Jang, S. K., Saunders, G., Liu, M., Jiang, Y., Liu, D. J., & Vrieze, S. (2020). Genetic correlation, pleiotropy, and causal associations between substance use and psychiatric disorder. Psychological medicine, 1-11. https://doi.org/10.1017/S003329172000272X
Jang, Seon-Kyeong, et al. "Genetic correlation, pleiotropy, and causal associations between substance use and psychiatric disorder." Psychological medicine vol. (2020): 1-11. doi: https://doi.org/10.1017/S003329172000272X
Jang SK, Saunders G, Liu M, Jiang Y, Liu DJ, Vrieze S. Genetic correlation, pleiotropy, and causal associations between substance use and psychiatric disorder. Psychol Med. 2020 Aug 07;1-11. doi: 10.1017/S003329172000272X. Epub 2020 Aug 07. PMID: 32762793; PMCID: PMC8759148.
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