Multi-ancestry meta-analysis of tobacco use disorder based on electronic health record data prioritizes novel candidate risk genes and reveals associations with numerous health outcomes
Sylvanus Toikumo, Mariela V. Jennings, Benjamin K. Pham, Hyunjoon Lee, Travis T. Mallard, Sevim B. Bianchi, John J. Meredith, Laura Vilar‐Ribó, Heng Xu, Alexander Samir Hatoum, Emma C. Johnson, Vanessa Pazdernik, Zeal Jinwala, Shreya Reddy Pakala, Brittany S. Leger, , Sandra Sanchez‐Roige
This study performs a multi-ancestry meta-analysis of tobacco use disorder using electronic health records, identifying 88 risk loci and 461 potential risk genes, and linking TUD to various health outcomes.
medRxiv · Mar 27, 2023 · PreprintGenetic & Genomic Medicine