Enhancing genetic association power in endometriosis through unsupervised clustering of clinical subtypes identified from electronic health records.

Autor: Guare LA; Genomics and Computational Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America., Humphrey LA; Department of Obstetrics and Gynecology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America., Rush M; Department of Obstetrics and Gynecology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America., Pollie M; Department of Obstetrics and Gynecology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America., Jaworski J; Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, United States of America.; Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Akerele AT; School of graduate studies, Department of Microbiology, Immunology, and Physiology, Meharry Medical College, Nashville, Tennessee, United States of America.; Division of Quantitative Science, Department of Obstetrics and Gynecology, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Luo Y; Feinberg School of Medicine, Northwestern University, Evanston, Illinois, United States of America., Weng C; Department of Biomedical Informatics, Columbia University, New York City, New York, United States of America., We WQ; Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, United States of America., Kottyan L; Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States of America., Jarvik G; Division of Medical Genetics, University of Washington, Seattle, Washington, United States of America., Elhadad N; Department of Biomedical Informatics, Columbia University, New York City, New York, United States of America., Zondervan K; Department of Genomic Epidemiology, University of Oxford, Oxford, England., Missmer S; Department of Obstetrics, Gynecology, and Reproductive Biology, Michigan State University, East Lansing, Michigan, United States of America., Vujkovic M; Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America., Velez-Edwards D; Division of Quantitative Science, Department of Obstetrics and Gynecology, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Senapati S; Department of Obstetrics and Gynecology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America., Setia-Verma S; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.

Publikováno v: Research square [Res Sq] 2024 Sep 09. Date of Electronic Publication: 2024 Sep 09.

Building Bridges from Genome to Physiology Using Machine Learning and Drosophila Experimental Evolution.

Autor: Kezos JN, Barter TT, Phillips MA, Cabral LG, Greenspan ZS, Arnold KR, Azatian G, Buenrostro J, Bhangoo PS, Khong A, Reyes GT, Rahman A, Humphrey LA, Bradley TJ, Mueller LD, Rose MR

Publikováno v: Physiological and biochemical zoology : PBZ [Physiol Biochem Zool] 2023 May-Jun; Vol. 96 (3), pp. 192-205. Date of Electronic Publication: 2023 May 12.

Executive functioning among Finnish adolescents with attention-deficit/hyperactivity disorder.

Autor: Loo SK; University of California, Los Angeles, CA 90095, USA., Humphrey LA, Tapio T, Moilanen IK, McGough JJ, McCracken JT, Yang MH, Dang J, Taanila A, Ebeling H, Järvelin MR, Smalley SL

Publikováno v: Journal of the American Academy of Child and Adolescent Psychiatry [J Am Acad Child Adolesc Psychiatry] 2007 Dec; Vol. 46 (12), pp. 1594-604.