AtherosclerosisNCT00083369
Genetic and Environmental Determinants of Triglycerides (GOLDN)
An observational study of Atherosclerosis and Cardiovascular Diseases, run by University of Alabama at Birmingham.
Trial summary
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.) Read more about this study
- Who is it for?
- Ages 19 years and older
- Conditions the study is for
- Atherosclerosis, Cardiovascular Diseases, Heart Diseases
- How many people
- 1,327 participants
- Where
- No sites listed yet
- Study dates
- Sep 2002to May 2009
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 19 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Subjects meeting entry criteria
Who may be able to join
- ≥18 years of age
- fasting TGs <1,500 mg/dl
- willingness to participate in the study and attend the scheduled clinic exams
- member of a family with at least two members in a sibship
- aspartate aminotransferase (AST) and alanine aminotransferase (ALT) results within normal range
- creatinine ≤2.0 mg/dl
Who cannot join
- history of liver, kidney, pancreas, or gall bladder disease or malabsorption
- current pregnancy
- insulin use
- use of lipid-lowering drugs (including prescription, over the counter, and nutriceuticals; volunteers taking these agents were withdrawn from them at least 4 weeks prior to the study with physician's approval)
- use of warfarin
- women of childbearing potential not using an acceptable form of contraception
- known hyper-sensitivity to fenofibrate
- history of pancreatitis within 12 months prior to enrollment
About this study
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.)
Read the detailed description
BACKGROUND:
Hypertriglyceridemia is emerging as an important predictor of atherosclerosis, and recent evidence suggests related phenotypes of triglycerides (TGs), such as TG remnant particles and small lactate dehydrogenase (LDL) particles, are particularly atherogenic. There is considerable variation in the response of TGs and related phenotypes to the environment.
The study is in response to a Request for Applications (RFA) entitled " Interaction of Genes and Environment in Shaping Risk Factors for Heart, Lung, Blood, and Sleep Disorders". The RFA was released in October, 2001.
DESIGN NARRATIVE:
Measurements will be collected before and after a dietary fat challenge to assess postprandial TGs and related atherogenic phenotypes (VLDL TGs, chylomicron TGs, TG remnant particles, high-density lipoprotein(HDL) and low density lipids (LDL) particle sizes, total cholesterol, LDL-C, and HDL-C). In families with 2 or more members in a sibship with high TGs (>= 130 mg/dl), the authors will conduct a short-term, placebo-controlled, randomized trial of fenofibrate in all willing and eligible family members (anticipated sample size = 1,200). A two-period crossover design will be executed with a 2-week washout between two 3-week treatment periods (placebo or micronized fenofibrate, 160 mg). About 1,000 family members have a Marshfield genome marker set available as part of national Heart Lung and Blood (NHLBI) FHS; the remaining 1,400 will be typed using the same marker set. They will conduct genome-wide linkage analyses using state-of-the-art methods to localize novel genetic loci contributing to TG response in the context of fat loading and fenofibrate treatment. They will type 15 single nucleotide polymorphisms (SNPs) in ten candidate genes known to contribute to the response of TGs to dietary fat and fenofibrate, and create haplotypes for association studies. They will use combinatorial partitioning methods and neural networks to test association of the individual SNPs and haplotypes with response to the two environmental interventions. The identification of genetic loci that predict TG response in the presence of two disparate contexts, fat loading and fibrate therapy, may provide insights into genetic pathways (a) predisposing to hypertriglyceridemia, ultimately leading to avenues for primary prevention, and (b) predicting response to TG lowering, leading to new drug targets for hypertriglyceridemia.
- Conditions
- Atherosclerosis, Cardiovascular Diseases, Heart Diseases
- Medical subject headings
- Atherosclerosis, Cardiovascular Diseases, Heart Diseases
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 3 weeks after start of fenofibrate intervention // 3 weeks after start of fenofibrate intervention
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted24 May 2004 (estimated)
- Study startSep 2002
- Primary completionMay 2009
- Study completionMay 2009
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (7)Papers the sponsor has linked to this study.
- Other trials for AtherosclerosisStudies of the same condition, open and under way.
- More trials run by University of Alabama at BirminghamThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Time perspective
- Prospective
- Enrolment
- 1,327 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Alabama at Birmingham
- Sponsor type
- University, hospital or other
- Collaborators
- National Heart, Lung, and Blood Institute (NHLBI)
- Responsible party
- Sponsor
- Investigators
- Donna Arnett, Principal investigator, University of Alabama at Birmingham
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT00083369
- Sponsor's protocol ID
- 1250
- Other IDs
- U01HL072524-05
- Status last verified
- Nov 2013
- First submitted
- 21 May 2004
- Last updated
- 19 Nov 2013
- Results posted
- No
Publications
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.
PubMed 33812378Aslibekyan 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.
PubMed 30275886Blanco-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.
PubMed 27440084Fretts 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.
PubMed 26354543Dashti 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.
PubMed 26045533Tanaka 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.
PubMed 23636237Frazier-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.
PubMed 23484911
Study at a glance
From the registry record, last updated by the sponsor on 19 Nov 2013. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Genetic and Environmental Determinants of Triglycerides (GOLDN)
- ClinicalTrials.gov ID
- NCT00083369
- Acronym / sponsor ID
- 1250
- Conditions
- Atherosclerosis, Cardiovascular Diseases, Heart Diseases
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 1,327 participants (actual)
- Lead sponsor
- University of Alabama at BirminghamUniversity, hospital or other
- Collaborators
- National Heart, Lung, and Blood Institute (NHLBI)
- Study start
- Sep 2002
- Primary completion
- May 2009 (actual)
- Study completion
- May 2009 (actual)
- First posted
- 24 May 2004 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.)
Detailed description
BACKGROUND:
Hypertriglyceridemia is emerging as an important predictor of atherosclerosis, and recent evidence suggests related phenotypes of triglycerides (TGs), such as TG remnant particles and small lactate dehydrogenase (LDL) particles, are particularly atherogenic. There is considerable variation in the response of TGs and related phenotypes to the environment.
The study is in response to a Request for Applications (RFA) entitled " Interaction of Genes and Environment in Shaping Risk Factors for Heart, Lung, Blood, and Sleep Disorders". The RFA was released in October, 2001.
DESIGN NARRATIVE:
Measurements will be collected before and after a dietary fat challenge to assess postprandial TGs and related atherogenic phenotypes (VLDL TGs, chylomicron TGs, TG remnant particles, high-density lipoprotein(HDL) and low density lipids (LDL) particle sizes, total cholesterol, LDL-C, and HDL-C). In families with 2 or more members in a sibship with high TGs (>= 130 mg/dl), the authors will conduct a short-term, placebo-controlled, randomized trial of fenofibrate in all willing and eligible family members (anticipated sample size = 1,200). A two-period crossover design will be executed with a 2-week washout between two 3-week treatment periods (placebo or micronized fenofibrate, 160 mg). About 1,000 family members have a Marshfield genome marker set available as part of national Heart Lung and Blood (NHLBI) FHS; the remaining 1,400 will be typed using the same marker set. They will conduct genome-wide linkage analyses using state-of-the-art methods to localize novel genetic loci contributing to TG response in the context of fat loading and fenofibrate treatment. They will type 15 single nucleotide polymorphisms (SNPs) in ten candidate genes known to contribute to the response of TGs to dietary fat and fenofibrate, and create haplotypes for association studies. They will use combinatorial partitioning methods and neural networks to test association of the individual SNPs and haplotypes with response to the two environmental interventions. The identification of genetic loci that predict TG response in the presence of two disparate contexts, fat loading and fibrate therapy, may provide insights into genetic pathways (a) predisposing to hypertriglyceridemia, ultimately leading to avenues for primary prevention, and (b) predicting response to TG lowering, leading to new drug targets for hypertriglyceridemia.
Study design
- Time perspective
- Prospective
Who may qualify
- Ages
- 19 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Subjects meeting entry criteria
Key inclusion criteria (6 listed)
- ≥18 years of age
- fasting TGs <1,500 mg/dl
- willingness to participate in the study and attend the scheduled clinic exams
- member of a family with at least two members in a sibship
- aspartate aminotransferase (AST) and alanine aminotransferase (ALT) results within normal range
Key exclusion criteria (8 listed)
- history of liver, kidney, pancreas, or gall bladder disease or malabsorption
- current pregnancy
- insulin use
- use of lipid-lowering drugs (including prescription, over the counter, and nutriceuticals; volunteers taking these agents were withdrawn from them at least 4 weeks prior to the study with physician's approval)
- use of warfarin
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
describe the association between blood lipids and gene variants
Time frame: 3 weeks after start of fenofibrate intervention // 3 weeks after start of fenofibrate intervention
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.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 19 Nov 2013.
- Derived from this study: PubMed 33812378Slade 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.
- Derived from this study: PubMed 30275886Aslibekyan 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.
- Derived from this study: PubMed 27440084Blanco-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.
- Derived from this study: PubMed 26354543Fretts 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.
- Derived from this study: PubMed 26045533Dashti 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.
- Derived from this study: PubMed 23636237Tanaka 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.
- Derived from this study: PubMed 23484911Frazier-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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Donna Arnett principal investigator
University of Alabama at Birmingham
Questions about this trial
What is this clinical trial studying?
An observational study of Atherosclerosis and Cardiovascular Diseases, run by University of Alabama at Birmingham.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 8 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 19 Nov 2013. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
describe the association between blood lipids and gene variants (time frame: 3 weeks after start of fenofibrate intervention // 3 weeks after start of fenofibrate intervention). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT00083369, which also lists 7 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 19 Nov 2013.