NCT00083369|Completed
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Sponsor study identifier
Secondary identifiers
observational
1,327
0 countries
N/A
Study Start
September 2002
Date type not reportedThis date has not been verified as actual or estimated.
Primary Completion
May 2009
Actual (reported)Study Completion
May 2009
Actual (reported)To characterize the genetic basis of the variable response of triglycerides to two environmental contexts, one that raises triglycerides (dietary fat), and one that lowers triglycerides (fenofibrate treatment.)
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
May 2009
Actual (reported)Click on a node to explore related trials.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
September 2002
Date type not reportedThis date has not been verified as actual or estimated.
May 21, 2004
Actual (reported)May 24, 2004
Actual (reported)May 2009
Actual (reported)May 2009
Actual (reported)describe the association between blood lipids and gene variants
Blood lipids were measured by the following: triglyceride, high-density cholesterol, low-density cholesterol concentrations. We will describe the association between blood lipids and gene variants.
3 weeks after start of fenofibrate intervention // 3 weeks after start of fenofibrate intervention
Subjects meeting entry criteria
Slade E, Irvin MR, Xie K, Arnett DK, Claas SA, Kind T, Fardo DW, Graf GA. Age and sex are associated with the plasma lipidome: findings from the GOLDN study. Lipids Health Dis. 2021 Apr 3;20(1):30. doi: 10.1186/s12944-021-01456-2.
Aslibekyan S, Almasy L, Province MA, Absher DM, Arnett DK. Data for GAW20: genome-wide DNA sequence variation and epigenome-wide DNA methylation before and after fenofibrate treatment in a family study of metabolic phenotypes. BMC Proc. 2018 Sep 17;12(Suppl 9):35. doi: 10.1186/s12919-018-0114-0. eCollection 2018.
Donna Arnett
University of Alabama at Birmingham
1,327 participants (actual enrollment reported by the registry).
First Submitted
May 21, 2004
First Posted
May 24, 2004
Study Start
September 2002
Date type not reportedThis date has not been verified as actual or estimated.
Contact the study team to confirm eligibility.
Blanco-Rojo R, Delgado-Lista J, Lee YC, Lai CQ, Perez-Martinez P, Rangel-Zuniga O, Smith CE, Hidalgo B, Alcala-Diaz JF, Gomez-Delgado F, Parnell LD, Arnett DK, Tucker KL, Lopez-Miranda J, Ordovas JM. Interaction of an S100A9 gene variant with saturated fat and carbohydrates to modulate insulin resistance in 3 populations of different ancestries. Am J Clin Nutr. 2016 Aug;104(2):508-17. doi: 10.3945/ajcn.116.130898. Epub 2016 Jul 20.
Fretts AM, Follis JL, Nettleton JA, Lemaitre RN, Ngwa JS, Wojczynski MK, Kalafati IP, Varga TV, Frazier-Wood AC, Houston DK, Lahti J, Ericson U, van den Hooven EH, Mikkila V, Kiefte-de Jong JC, Mozaffarian D, Rice K, Renstrom F, North KE, McKeown NM, Feitosa MF, Kanoni S, Smith CE, Garcia ME, Tiainen AM, Sonestedt E, Manichaikul A, van Rooij FJ, Dimitriou M, Raitakari O, Pankow JS, Djousse L, Province MA, Hu FB, Lai CQ, Keller MF, Perala MM, Rotter JI, Hofman A, Graff M, Kahonen M, Mukamal K, Johansson I, Ordovas JM, Liu Y, Mannisto S, Uitterlinden AG, Deloukas P, Seppala I, Psaty BM, Cupples LA, Borecki IB, Franks PW, Arnett DK, Nalls MA, Eriksson JG, Orho-Melander M, Franco OH, Lehtimaki T, Dedoussis GV, Meigs JB, Siscovick DS. Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians. Am J Clin Nutr. 2015 Nov;102(5):1266-78. doi: 10.3945/ajcn.114.101238. Epub 2015 Sep 9.
Dashti HS, Aslibekyan S, Scheer FA, Smith CE, Lamon-Fava S, Jacques P, Lai CQ, Tucker KL, Arnett DK, Ordovas JM. Clock Genes Explain a Large Proportion of Phenotypic Variance in Systolic Blood Pressure and This Control Is Not Modified by Environmental Temperature. Am J Hypertens. 2016 Jan;29(1):132-40. doi: 10.1093/ajh/hpv082. Epub 2015 Jun 4.
Tanaka T, Ngwa JS, van Rooij FJ, Zillikens MC, Wojczynski MK, Frazier-Wood AC, Houston DK, Kanoni S, Lemaitre RN, Luan J, Mikkila V, Renstrom F, Sonestedt E, Zhao JH, Chu AY, Qi L, Chasman DI, de Oliveira Otto MC, Dhurandhar EJ, Feitosa MF, Johansson I, Khaw KT, Lohman KK, Manichaikul A, McKeown NM, Mozaffarian D, Singleton A, Stirrups K, Viikari J, Ye Z, Bandinelli S, Barroso I, Deloukas P, Forouhi NG, Hofman A, Liu Y, Lyytikainen LP, North KE, Dimitriou M, Hallmans G, Kahonen M, Langenberg C, Ordovas JM, Uitterlinden AG, Hu FB, Kalafati IP, Raitakari O, Franco OH, Johnson A, Emilsson V, Schrack JA, Semba RD, Siscovick DS, Arnett DK, Borecki IB, Franks PW, Kritchevsky SB, Lehtimaki T, Loos RJ, Orho-Melander M, Rotter JI, Wareham NJ, Witteman JC, Ferrucci L, Dedoussis G, Cupples LA, Nettleton JA. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake. Am J Clin Nutr. 2013 Jun;97(6):1395-402. doi: 10.3945/ajcn.112.052183. Epub 2013 May 1.
Frazier-Wood AC, Kabagambe EK, Wojczynski MK, Borecki IB, Tiwari HK, Smith CE, Ordovas JM, Arnett DK. The association between LRP-1 variants and chylomicron uptake after a high fat meal. Nutr Metab Cardiovasc Dis. 2013 Nov;23(11):1154-8. doi: 10.1016/j.numecd.2012.12.007. Epub 2013 Feb 26.
Primary Completion
May 2009
Actual (reported)Study Completion
May 2009
Actual (reported)Last Updated
November 19, 2013
Record last verified: 2013-11
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