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                                       Details for article 24 of 49 found articles
 
 
  Genome-wide association analyses using machine learning-based phenotyping reveal genetic architecture of occupational creativity and overlap with psychiatric disorders
 
 
Title: Genome-wide association analyses using machine learning-based phenotyping reveal genetic architecture of occupational creativity and overlap with psychiatric disorders
Author: Kim, Hyejin
Ahn, Yeeun
Yoon, Joohyun
Jung, Kyeongmin
Kim, Soyeon
Shim, Injeong
Park, Tae Hwan
Ko, Hyunwoong
Jung, Sang-Hyuk
Kim, Jaeyoung
Park, Sanghyeon
Lee, Dong June
Choi, Sunho
Cha, Soojin
Kim, Beomsu
Cho, Min Young
Cho, Hyunbin
Kim, Dan Say
Jang, Yoonjeong
Ihm, Hong Kyu
Park, Woong-Yang
Bakhshi, Hasan
O`Connell, Kevin S.
Andreassen, Ole A.
Kendler, Kenneth S.
Myung, Woojae
Won, Hong-Hee
Appeared in: Psychiatry research
Paging: Volume 333 () nr. C pages p.
Year: 2024
Contents:
Publisher: Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 24 of 49 found articles
 
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