Harlow et al., 2024 - Google Patents

GWAS of extended prescription analgesic use identifies novel genetic loci in chronic pain

Harlow et al., 2024

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Document ID
15231250812509421907
Author
Harlow C
Uzochukwu E
Fernando H
Mordaunt C
Hughey J
Eicher J
Robinson L
Bowker N
Howe L
Liu J
Cortes A
Wilson P
Gungabissoon U
Tribble V
Nash A
Young G
Addis L
Xu C
Webber C
Davitte J
Cader M
Publication year
Publication venue
medRxiv

External Links

Snippet

Pain-related conditions are the leading cause of disability worldwide. Current genome-wide association studies (GWAS) for chronic pain have mainly focused on individual pain-related disorders, which may not optimally capture the phenotype. Here, we applied a novel method …
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    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
    • G—PHYSICS
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    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
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