BACKGROUND: Metabolic complications, including cardiovascular events and diabetes mellitus (DM), are a major long-term concern in human immunodeficiency virus (HIV)-infected individuals. Recent genome-wide association studies have reliably associated multiple single nucleotide polymorphisms (SNPs) to DM in the general population. METHODS: We evaluated the contribution of 22 SNPs identified in genome-wide association studies and of longitudinally measured clinical factors to DM. We genotyped all 94 white participants in the Swiss HIV Cohort Study who developed DM from 1 January 1999 through 31 August 2009 and 550 participants without DM. Analyses were based on 6054 person-years of follow-up and 13,922 measurements of plasma glucose. RESULTS: The contribution to DM risk explained by SNPs (14% of DM variability) was larger than the contribution to DM risk explained by current or cumulative exposure to different antiretroviral therapy combinations (3% of DM variability). Participants with the most unfavorable genetic score (representing 12% and 19% of the study population, respectively, when applying 2 different genetic scores) had incidence rate ratios for DM of 3.80 (95% confidence interval [CI], 2.05-7.06) and 2.74 (95% CI, 1.53-4.88), respectively, compared with participants with a favorable genetic score. However, addition of genetic data to clinical risk factors that included body mass index only slightly improved DM prediction. CONCLUSIONS: In white HIV-infected persons treated with antiretroviral therapy, the DM effect of genetic variants was larger than the potential toxic effects of antiretroviral therapy. SNPs contributed significantly to DM risk, but their addition to a clinical model improved DM prediction only slightly, similar to studies in the general population.
BACKGROUND: Metabolic complications, including cardiovascular events and diabetes mellitus (DM), are a major long-term concern in human immunodeficiency virus (HIV)-infected individuals. Recent genome-wide association studies have reliably associated multiple single nucleotide polymorphisms (SNPs) to DM in the general population. METHODS: We evaluated the contribution of 22 SNPs identified in genome-wide association studies and of longitudinally measured clinical factors to DM. We genotyped all 94 white participants in the Swiss HIV Cohort Study who developed DM from 1 January 1999 through 31 August 2009 and 550 participants without DM. Analyses were based on 6054 person-years of follow-up and 13,922 measurements of plasma glucose. RESULTS: The contribution to DM risk explained by SNPs (14% of DM variability) was larger than the contribution to DM risk explained by current or cumulative exposure to different antiretroviral therapy combinations (3% of DM variability). Participants with the most unfavorable genetic score (representing 12% and 19% of the study population, respectively, when applying 2 different genetic scores) had incidence rate ratios for DM of 3.80 (95% confidence interval [CI], 2.05-7.06) and 2.74 (95% CI, 1.53-4.88), respectively, compared with participants with a favorable genetic score. However, addition of genetic data to clinical risk factors that included body mass index only slightly improved DM prediction. CONCLUSIONS: In white HIV-infectedpersons treated with antiretroviral therapy, the DM effect of genetic variants was larger than the potential toxic effects of antiretroviral therapy. SNPs contributed significantly to DM risk, but their addition to a clinical model improved DM prediction only slightly, similar to studies in the general population.
Authors: Melissa A Frasco; Roksana Karim; David Van Den Berg; Richard M Watanabe; Kathryn Anastos; Mardge Cohen; Stephen J Gange; Deborah R Gustafson; Chenglong Liu; Phyllis C Tien; Wendy J Mack; Celeste L Pearce Journal: AIDS Date: 2014-07-31 Impact factor: 4.177
Authors: Margalida Rotger; Tracy R Glass; Thomas Junier; Jens Lundgren; James D Neaton; Estella S Poloni; Angélique B van 't Wout; Rubin Lubomirov; Sara Colombo; Raquel Martinez; Andri Rauch; Huldrych F Günthard; Jacqueline Neuhaus; Deborah Wentworth; Danielle van Manen; Luuk A Gras; Hanneke Schuitemaker; Laura Albini; Carlo Torti; Lisa P Jacobson; Xiuhong Li; Lawrence A Kingsley; Federica Carli; Giovanni Guaraldi; Emily S Ford; Irini Sereti; Colleen Hadigan; Esteban Martinez; Mireia Arnedo; Lander Egaña-Gorroño; Jose M Gatell; Matthew Law; Courtney Bendall; Kathy Petoumenos; Jürgen Rockstroh; Jan-Christian Wasmuth; Kabeya Kabamba; Marc Delforge; Stephane De Wit; Florian Berger; Stefan Mauss; Mariana de Paz Sierra; Marcelo Losso; Waldo H Belloso; Maria Leyes; Antoni Campins; Annalisa Mondi; Andrea De Luca; Ignacio Bernardino; Mónica Barriuso-Iglesias; Ana Torrecilla-Rodriguez; Juan Gonzalez-Garcia; José R Arribas; Iuri Fanti; Silvia Gel; Jordi Puig; Eugenia Negredo; Mar Gutierrez; Pere Domingo; Julia Fischer; Gerd Fätkenheuer; Carlos Alonso-Villaverde; Alan Macken; James Woo; Tara McGinty; Patrick Mallon; Alexandra Mangili; Sally Skinner; Christine A Wanke; Peter Reiss; Rainer Weber; Heiner C Bucher; Jacques Fellay; Amalio Telenti; Philip E Tarr Journal: Clin Infect Dis Date: 2013-03-26 Impact factor: 9.079
Authors: David W Haas; Daniel R Kuritzkes; Marylyn D Ritchie; Shashi Amur; Brian F Gage; Gary Maartens; Dan Masys; Jacques Fellay; Elizabeth Phillips; Heather J Ribaudo; Kenneth A Freedberg; Christos Petropoulos; Teri A Manolio; Roy M Gulick; Richard Haubrich; Peter Kim; Marjorie Dehlinger; Rahel Abebe; Amalio Telenti Journal: HIV Clin Trials Date: 2011 Sep-Oct