Here are the Application of polygenic scores to a deeply phenotyped sample enriched for substance use disorders reveals extensive pleiotropy with psychiatric and somatic traits journals presenting the latest research across various disciplines. From social sciences to technology, each article is expected to provide valuable insights to our readers.
Author guidelines polygenic risk scores, polygenic risk score calculation, polygenic risk score calculator, polygenic risk scores explained, polygenic risk score calculator, what are polygenic risk scores, application of python.
Application of polygenic scores to a deeply phenotyped sample enriched for substance use disorders reveals extensive pleiotropy with psychiatric and somatic traits
Co-occurring psychiatric, medical, and substance use disorders (SUDs) are common, but the complex pathways leading to such comorbidities are poorly understood. A greater understanding of genetic influences on this phenomenon could inform precision medicine efforts. We used the Yale-Penn dataset, a cross-sectional sample enriched for individuals with SUDs, to examine pleiotropic effects of genetic liability for psychiatric and somatic traits. Participants completed an in-depth interview that provides information on demographics, environment, medical illnesses, and psychiatric and SUDs. Polygenic scores (PGS) for psychiatric disorders and somatic traits were calculated in European-ancestry (EUR; n = 5691) participants and, when discovery datasets were available, for African-ancestry (AFR; n = 4918) participants. Phenome-wide association studies (PheWAS) were then conducted. In AFR participants, the only PGS with significant associations was bipolar disorder (BD), all of which w ere with substance use phenotypes. In EUR participants, PGS for major depressive disorder (MDD), generalized anxiety disorder (GAD), post-traumatic stress disorder (PTSD), schizophrenia (SCZ), body mass index (BMI), coronary artery disease (CAD), and type 2 diabetes (T2D) all showed significant associations, the majority of which were with phenotypes in the substance use categories. For instance, PGSMDD was associated with over 200 phenotypes, 15 of which were depression-related (e.g., depression criterion count), 55 of which were other psychiatric phenotypes, and 126 of which were substance use phenotypes; and PGSBMI was associated with 138 phenotypes, 105 of which were substance related. Genetic liability for psychiatric and somatic traits is associated with numerous phenotypes across multiple categories, indicative of the broad genetic liability of these traits. © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2024.
Authors : Hartwell E.E.; Jinwala Z.; Milone J.; Ramirez S.; Gelernter J.; Kranzler H.R.; Kember R.L.
Source : Springer Nature
Article Information
| Year | 2024 |
| Type | Article |
| DOI | 10.1038/s41386-024-01922-2 |
| ISSN | 0893133X |
| Volume | 49 |
You can download the article here
If You have any problem, contact us here