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Heterogeneous associations between interleukin-6 receptor variants and phenotypes across ancestries and implications for therapy.
Wang, Xuan; Liu, Molei; Nogues, Isabelle-Emmanuella; Chen, Tony; Xiong, Xin; Bonzel, Clara-Lea; Zhang, Harrison; Hong, Chuan; Xia, Yin; Dahal, Kumar; Costa, Lauren; Cui, Jing; Gaziano, J Michael; Kim, Seoyoung C; Ho, Yuk-Lam; Cho, Kelly; Cai, Tianxi; Liao, Katherine P.
Afiliação
  • Wang X; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
  • Liu M; Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
  • Nogues IE; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Chen T; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Xiong X; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Bonzel CL; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Zhang H; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Hong C; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Xia Y; Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, 60 Fenwood Road, Boston, MA, 02115, USA.
  • Dahal K; Department of Biostatistics, Duke University, Durham, NC, USA.
  • Costa L; Department of Statistics and Data Science, Fudan University, Shanghai, China.
  • Cui J; Department of Biostatistics, Duke University, Durham, NC, USA.
  • Gaziano JM; Department of Biostatistics, Duke University, Durham, NC, USA.
  • Ho YL; Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
  • Cho K; Division of Aging, Brigham and Women's Hospital, Boston, MA, USA.
  • Cai T; Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, MA, USA.
  • Liao KP; Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
Sci Rep ; 14(1): 8021, 2024 04 05.
Article em En | MEDLINE | ID: mdl-38580710
ABSTRACT
The Phenome-Wide Association Study (PheWAS) is increasingly used to broadly screen for potential treatment effects, e.g., IL6R variant as a proxy for IL6R antagonists. This approach offers an opportunity to address the limited power in clinical trials to study differential treatment effects across patient subgroups. However, limited methods exist to efficiently test for differences across subgroups in the thousands of multiple comparisons generated as part of a PheWAS. In this study, we developed an approach that maximizes the power to test for heterogeneous genotype-phenotype associations and applied this approach to an IL6R PheWAS among individuals of African (AFR) and European (EUR) ancestries. We identified 29 traits with differences in IL6R variant-phenotype associations, including a lower risk of type 2 diabetes in AFR (OR 0.96) vs EUR (OR 1.0, p-value for heterogeneity = 8.5 × 10-3), and higher white blood cell count (p-value for heterogeneity = 8.5 × 10-131). These data suggest a more salutary effect of IL6R blockade for T2D among individuals of AFR vs EUR ancestry and provide data to inform ongoing clinical trials targeting IL6 for an expanding number of conditions. Moreover, the method to test for heterogeneity of associations can be applied broadly to other large-scale genotype-phenotype screens in diverse populations.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article