Genome wide association joint analysis reveals 99 risk loci for pain susceptibility and pleiotropic relationships with psychiatric, metabolic, and immunological traits.
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| Title: | Genome wide association joint analysis reveals 99 risk loci for pain susceptibility and pleiotropic relationships with psychiatric, metabolic, and immunological traits. |
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| Authors: | Mocci E; Department of Pain & Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, United States of America.; Center to Advance Chronic Pain Research (CACPR), University of Maryland Baltimore, Baltimore, Maryland, United States of America.; Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States of America., Ward K; Department of Pain & Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, United States of America., Perry JA; Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America., Starkweather A; Department of Biobehavioral Nursing Science, University of Florida College of Nursing, Gainesville, Florida, United States of America., Stone LS; Department of Anesthesiology, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America., Schabrun SM; School of Physical Therapy, University of Western Ontario, London, Ontario, Canada., Renn C; Department of Pain & Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, United States of America.; Center to Advance Chronic Pain Research (CACPR), University of Maryland Baltimore, Baltimore, Maryland, United States of America., Dorsey SG; Department of Pain & Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, United States of America.; Center to Advance Chronic Pain Research (CACPR), University of Maryland Baltimore, Baltimore, Maryland, United States of America., Ament SA; Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.; Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, United States of America. |
| Source: | PLoS genetics [PLoS Genet] 2023 Oct 16; Vol. 19 (10), pp. e1010977. Date of Electronic Publication: 2023 Oct 16 (Print Publication: 2023). |
| Publication Type: | Journal Article; Meta-Analysis; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7404 (Electronic) Linking ISSN: 15537390 NLM ISO Abbreviation: PLoS Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7404 |
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| DOI: | 10.1371/journal.pgen.1010977 |
