NHLBI TOPMed: GOLDN Epigenetic Determinants of Lipid Response to Dietary Fat and Fenofibrate

Request Access

Mixed linear model approach adapted for genome-wide association studies

Zhiwu Zhang, E. Ersoz, Chao-Qiang Lai, et al.. (2010). Nature Genetics. Cited 1,947 times. https://doi.org/10.1038/ng.546

Genetic Loci Associated with Plasma Phospholipid n-3 Fatty Acids: A Meta-Analysis of Genome-Wide Association Studies from the CHARGE Consortium

R. Lemaitre, Toshiko Tanaka, Weihong Tang, et al.. (2011). PLoS Genetics. Cited 415 times. https://doi.org/10.1371/journal.pgen.1002193

Genome-Wide Association Study of Plasma Polyunsaturated Fatty Acids in the InCHIANTI Study

Toshiko Tanaka, Jian Shen, G. Abecasis, et al.. (2009). PLoS Genetics. Cited 414 times. https://doi.org/10.1371/journal.pgen.1000338

A genome-wide association study for blood lipid phenotypes in the Framingham Heart Study

S. Kathiresan, S. Kathiresan, A. Manning, et al.. (2007). BMC Medical Genetics. Cited 338 times. https://doi.org/10.1186/1471-2350-8-S1-S17

Epigenome-wide association study (EWAS) of BMI, BMI change and waist circumference in African American adults identifies multiple replicated loci.

E. Demerath, W. Guan, Megan L. Grove, et al.. (2015). Human molecular genetics. Cited 315 times. https://doi.org/10.1093/hmg/ddv161

Common Missense Variant in the Glucokinase Regulatory Protein Gene Is Associated With Increased Plasma Triglyceride and C-Reactive Protein but Lower Fasting Glucose Concentrations

M. Orho-Melander, O. Melander, C. Guiducci, et al.. (2008). Diabetes. Cited 295 times. https://doi.org/10.2337/db08-0516

DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases

Symen Ligthart, C. Marzi, S. Aslibekyan, et al.. (2016). Genome Biology. Cited 288 times. https://doi.org/10.1186/s13059-016-1119-5

Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake

Toshiko Tanaka, J. Ngwa, F. V. van Rooij, et al.. (2013). The American Journal of Clinical Nutrition. Cited 209 times. https://doi.org/10.3945/ajcn.112.052183

Epigenome-Wide Association Study of Fasting Blood Lipids in the Genetics of Lipid-Lowering Drugs and Diet Network Study

M. Irvin, Degui Zhi, R. Joehanes, et al.. (2014). Circulation. Cited 195 times. https://doi.org/10.1161/CIRCULATIONAHA.114.009158

Directional dominance on stature and cognition in diverse human populations

Peter K. Joshi, T. Esko, Hannele Mattsson, et al.. (2015). Nature. Cited 172 times. https://doi.org/10.1038/nature14618

CLOCK genetic variation and metabolic syndrome risk: modulation by monounsaturated fatty acids.

M. Garaulet, Yu-Chi Lee, Jian Shen, et al.. (2009). The American journal of clinical nutrition. Cited 171 times. https://doi.org/10.3945/ajcn.2009.27536

Epigenome-wide study identifies novel methylation loci associated with body mass index and waist circumference

S. Aslibekyan, E. Demerath, M. Mendelson, et al.. (2014). Obesity (Silver Spring, Md.). Cited 169 times. https://doi.org/10.1002/oby.21111

APOA2, dietary fat, and body mass index: replication of a gene-diet interaction in 3 independent populations.

D. Corella, G. Peloso, D. Arnett, et al.. (2009). Archives of internal medicine. Cited 168 times. https://doi.org/10.1001/archinternmed.2009.343

Epigenome-Wide Association Study of Fasting Measures of Glucose, Insulin, and HOMA-IR in the Genetics of Lipid Lowering Drugs and Diet Network Study

Bertha A. Hidalgo, M. Irvin, Jin Sha, et al.. (2014). Diabetes. Cited 161 times. https://doi.org/10.2337/db13-1100

SNPs located at CpG sites modulate genome-epigenome interaction

Degui Zhi, S. Aslibekyan, M. Irvin, et al.. (2013). Epigenetics. Cited 140 times. https://doi.org/10.4161/epi.25501

The -256T>C polymorphism in the apolipoprotein A-II gene promoter is associated with body mass index and food intake in the genetics of lipid lowering drugs and diet network study.

D. Corella, D. Arnett, M. Tsai, et al.. (2007). Clinical chemistry. Cited 139 times. https://doi.org/10.1373/CLINCHEM.2006.084863

A high intake of saturated fatty acids strengthens the association between the fat mass and obesity-associated gene and BMI.

D. Corella, D. Arnett, K. Tucker, et al.. (2011). The Journal of nutrition. Cited 138 times. https://doi.org/10.3945/jn.111.143826

Enrichment of statistical power for genome-wide association studies

Meng Li, Xiaolei Liu, Peter J. Bradbury, et al.. (2014). BMC Biology. Cited 133 times. https://doi.org/10.1186/s12915-014-0073-5

Fenofibrate Effect on Triglyceride and Postprandial Response of Apolipoprotein A5 Variants: The GOLDN Study

Chao-Qiang Lai, D. Arnett, D. Corella, et al.. (2007). Arteriosclerosis, Thrombosis, and Vascular Biology. Cited 127 times. https://doi.org/10.1161/ATVBAHA.107.140103

Nutrigenomics in Cardiovascular Medicine

D. Corella, J. Ordovás. (2009). Circulation: Cardiovascular Genetics. Cited 118 times. https://doi.org/10.1161/CIRCGENETICS.109.891366

Effect of influenza vaccine on markers of inflammation and lipid profile.

M. Tsai, N. Hanson, R. Straka, et al.. (2005). The Journal of laboratory and clinical medicine. Cited 106 times. https://doi.org/10.1016/J.LAB.2005.03.009

Association between the APOA2 promoter polymorphism and body-weight in Mediterranean and Asian populations. Replication of a gene-saturated fat interaction

D. Corella, E. Tai, J. Sorlí, et al.. (2010). International journal of obesity (2005). Cited 105 times. https://doi.org/10.1038/ijo.2010.187

Profiling Circulating and Urinary Bile Acids in Patients with Biliary Obstruction before and after Biliary Stenting

J. Trottier, A. Białek, P. Caron, et al.. (2011). PLoS ONE. Cited 102 times. https://doi.org/10.1371/journal.pone.0022094

Genetic variants in human CLOCK associate with total energy intake and cytokine sleep factors in overweight subjects (GOLDN population)

M. Garaulet, Yu-Chi Lee, Jian Shen, et al.. (2010). European Journal of Human Genetics. Cited 93 times. https://doi.org/10.1038/ejhg.2009.176

ADIPOQ Polymorphisms, Monounsaturated Fatty Acids, and Obesity Risk: The GOLDN Study

D. Warodomwichit, Jian Shen, D. Arnett, et al.. (2009). Obesity. Cited 91 times. https://doi.org/10.1038/oby.2008.583

Genetic loci associated with circulating phospholipid trans fatty acids: a meta-analysis of genome-wide association studies from the CHARGE Consortium.

D. Mozaffarian, E. Kabagambe, C. Johnson, et al.. (2015). The American journal of clinical nutrition. Cited 82 times. https://doi.org/10.3945/ajcn.114.094557

High-fat meal effect on LDL, HDL, and VLDL particle size and number in the Genetics of Lipid-Lowering drugs and diet network (GOLDN): an interventional study

M. Wojczynski, S. Glasser, A. Oberman, et al.. (2011). Lipids in Health and Disease. Cited 82 times. https://doi.org/10.1186/1476-511X-10-181

Gain-of-function lipoprotein lipase variant rs13702 modulates lipid traits through disruption of a microRNA-410 seed site.

K. Richardson, J. Nettleton, N. Rotllan, et al.. (2013). American journal of human genetics. Cited 77 times. https://doi.org/10.1016/j.ajhg.2012.10.020

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.

A. Fretts, J. Follis, J. Nettleton, et al.. (2015). The American journal of clinical nutrition. Cited 74 times. https://doi.org/10.3945/ajcn.114.101238

Saturated fat intake modulates the association between an obesity genetic risk score and body mass index in two US populations.

P. Casas-Agustench, D. Arnett, Caren E. Smith, et al.. (2014). Journal of the Academy of Nutrition and Dietetics. Cited 74 times. https://doi.org/10.1016/j.jand.2014.03.014

Genetic influences on blood lipids and cardiovascular disease risk: tools for primary prevention.

J. Ordovás. (2009). The American journal of clinical nutrition. Cited 74 times. https://doi.org/10.3945/ajcn.2009.27113E

Impact of genetic and environmental factors on hsCRP concentrations and response to therapeutic agents.

Jian Shen, J. Ordovás. (2009). Clinical chemistry. Cited 74 times. https://doi.org/10.1373/clinchem.2008.117754

A Database of Gene-Environment Interactions Pertaining to Blood Lipid Traits, Cardiovascular Disease and Type 2 Diabetes.

Yu-Chi Lee, Chao-Qiang Lai, J. Ordovás, et al.. (2011). Journal of data mining in genomics & proteomics. Cited 73 times. https://doi.org/10.4172/2153-0602.1000106

Methylation at CPT1A locus is associated with lipoprotein subfraction profiles[S]

A. Frazier-Wood, S. Aslibekyan, D. Absher, et al.. (2014). Journal of Lipid Research. Cited 68 times. https://doi.org/10.1194/jlr.M048504

Association of DNA Methylation at CPT1A Locus with Metabolic Syndrome in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) Study

M. Das, Jin Sha, Bertha A. Hidalgo, et al.. (2016). PLoS ONE. Cited 67 times. https://doi.org/10.1371/journal.pone.0145789

Nutrition in the genomics era: cardiovascular disease risk and the Mediterranean diet.

J. Ordovás, J. Kaput, D. Corella. (2007). Molecular nutrition & food research. Cited 67 times. https://doi.org/10.1002/MNFR.200700041

Genotype–Phenotype Associations: Modulation by Diet and Obesity

J. Ordovás. (2008). Obesity. Cited 66 times. https://doi.org/10.1038/oby.2008.515

Erythrocyte fatty acid composition and the metabolic syndrome: a National Heart, Lung, and Blood Institute GOLDN study.

E. Kabagambe, M. Tsai, P. Hopkins, et al.. (2008). Clinical chemistry. Cited 66 times. https://doi.org/10.1373/CLINCHEM.2007.095059

Profile of serum bile acids in non-cholestatic volunteers: gender-related differences in response to fenofibrate

J. Trottier, Patrick Caron, Robert J. Straka, et al.. (2011). Clinical pharmacology and therapeutics. Cited 65 times. https://doi.org/10.1038/clpt.2011.124

Review and Evaluation of Methods Correcting for Population Stratification with a Focus on Underlying Statistical Principles

H. Tiwari, J. Barnholtz-Sloan, N. Wineinger, et al.. (2008). Human Heredity. Cited 62 times. https://doi.org/10.1159/000119107

A genome-wide association study of inflammatory biomarker changes in response to fenofibrate treatment in the Genetics of Lipid Lowering Drug and Diet Network

S. Aslibekyan, E. Kabagambe, M. Irvin, et al.. (2012). Pharmacogenetics and Genomics. Cited 61 times. https://doi.org/10.1097/FPC.0b013e32834fdd41

The PLIN4 Variant rs8887 Modulates Obesity Related Phenotypes in Humans through Creation of a Novel miR-522 Seed Site

K. Richardson, Qiong Louie-Gao, D. Arnett, et al.. (2011). PLoS ONE. Cited 61 times. https://doi.org/10.1371/journal.pone.0017944

CRY1 circadian gene variant interacts with carbohydrate intake for insulin resistance in two independent populations: Mediterranean and North American

H. Dashti, Caren E. Smith, Yu-Chi Lee, et al.. (2014). Chronobiology International. Cited 59 times. https://doi.org/10.3109/07420528.2014.886587

Polyunsaturated fatty acids modulate the effect of TCF7L2 gene variants on postprandial lipemia.

D. Warodomwichit, D. Arnett, E. Kabagambe, et al.. (2009). The Journal of nutrition. Cited 55 times. https://doi.org/10.3945/jn.108.096461

Gene-Environment Interactions of Circadian-Related Genes for Cardiometabolic Traits

H. Dashti, J. Follis, Caren E. Smith, et al.. (2015). Diabetes Care. Cited 53 times. https://doi.org/10.2337/dc14-2709

Profiling serum bile acid glucuronides in humans: gender divergences, genetic determinants and response to fenofibrate

J. Trottier, Martin Perreault, I. Rudkowska, et al.. (2013). Clinical pharmacology and therapeutics. Cited 51 times. https://doi.org/10.1038/clpt.2013.122

Why study gene–environment interactions?

J. Ordovás, E. Tai. (2008). Current Opinion in Lipidology. Cited 49 times. https://doi.org/10.1097/MOL.0b013e3282f6a809

Comparison of ultracentrifugation and nuclear magnetic resonance spectroscopy in the quantification of triglyceride-rich lipoproteins after an oral fat load.

M. Tsai, A. Georgopoulos, J. Otvos, et al.. (2004). Clinical chemistry. Cited 49 times. https://doi.org/10.1373/CLINCHEM.2004.032938

Association between glucokinase regulatory protein (GCKR) and apolipoprotein A5 (APOA5) gene polymorphisms and triacylglycerol concentrations in fasting, postprandial, and fenofibrate-treated states.

P. Pérez-Martínez, D. Corella, Jian Shen, et al.. (2009). The American journal of clinical nutrition. Cited 48 times. https://doi.org/10.3945/ajcn.2008.26363

REV-ERB-ALPHA circadian gene variant associates with obesity in two independent populations: Mediterranean and North American.

M. Garaulet, Caren E. Smith, P. Gómez‐Abellán, et al.. (2014). Molecular nutrition & food research. Cited 46 times. https://doi.org/10.1002/mnfr.201300361

The PPAR Alpha gene is associated with triglyceride, low-density cholesterol, and inflammation marker response to fenofibrate intervention: The GOLDN Study

A. Frazier-Wood, J. Ordovás, J. Ordovás, et al.. (2012). The pharmacogenomics journal. Cited 46 times. https://doi.org/10.1038/tpj.2012.9

Pharmacogenetic association of the APOA1/C3/A4/A5 gene cluster and lipid responses to fenofibrate: the Genetics of Lipid-Lowering Drugs and Diet Network study

Yongju Liu, J. Ordovás, Guimin Gao, et al.. (2009). Pharmacogenetics and Genomics. Cited 46 times. https://doi.org/10.1097/FPC.0b013e32831e030e

Genome-Wide Contribution of Genotype by Environment Interaction to Variation of Diabetes-Related Traits

Ju-Sheng Zheng, D. Arnett, Yu-Chi Lee, et al.. (2013). PLoS ONE. Cited 45 times. https://doi.org/10.1371/journal.pone.0077442

Genetic Analysis of 16 NMR-Lipoprotein Fractions in Humans, the GOLDN Study

A. Kraja, I. Borecki, M. Tsai, et al.. (2013). Lipids. Cited 45 times. https://doi.org/10.1007/s11745-012-3740-8

Association of Common C-Reactive Protein (CRP) Gene Polymorphisms With Baseline Plasma CRP Levels and Fenofibrate Response

Jian Shen, D. Arnett, L. Parnell, et al.. (2008). Diabetes Care. Cited 45 times. https://doi.org/10.2337/dc07-1687

Apolipoprotein E Polymorphisms and Postprandial Triglyceridemia Before and After Fenofibrate Treatment in the Genetics of Lipid Lowering and Diet Network (GOLDN) Study

M. Irvin, E. Kabagambe, H. Tiwari, et al.. (2010). Circulation: Cardiovascular Genetics. Cited 44 times. https://doi.org/10.1161/CIRCGENETICS.110.950667

Clinical significance of apolipoprotein A5

E. S. Tai, J. Ordovás. (2008). Current Opinion in Lipidology. Cited 44 times. https://doi.org/10.1097/MOL.0b013e328304b681

Dietary fatty acids modulate associations between genetic variants and circulating fatty acids in plasma and erythrocyte membranes: Meta-analysis of nine studies in the CHARGE consortium.

Caren E. Smith, J. Follis, J. Nettleton, et al.. (2015). Molecular nutrition & food research. Cited 43 times. https://doi.org/10.1002/mnfr.201400734

The effects of omega-3 polyunsaturated fatty acids and genetic variants on methylation levels of the interleukin-6 gene promoter.

Yiyi Ma, Caren E. Smith, Chao-Qiang Lai, et al.. (2016). Molecular nutrition & food research. Cited 42 times. https://doi.org/10.1002/mnfr.201500436

Genetic variants modify the effect of age on APOE methylation in the Genetics of Lipid Lowering Drugs and Diet Network study

Yiyi Ma, Caren E. Smith, Chao-Qiang Lai, et al.. (2014). Aging Cell. Cited 41 times. https://doi.org/10.1111/acel.12293

Fenofibrate and metabolic syndrome.

A. Kraja, M. Province, R. Straka, et al.. (2010). Endocrine, metabolic & immune disorders drug targets. Cited 41 times. https://doi.org/10.2174/187153010791213047

Epigenome-wide association study of triglyceride postprandial responses to a high-fat dietary challenge

Chao-Qiang Lai, M. Wojczynski, L. Parnell, et al.. (2016). Journal of Lipid Research. Cited 39 times. https://doi.org/10.1194/jlr.M069948

Physical inactivity interacts with an endothelial lipase polymorphism to modulate high density lipoprotein cholesterol in the GOLDN study.

Caren E. Smith, D. Arnett, M. Tsai, et al.. (2009). Atherosclerosis. Cited 39 times. https://doi.org/10.1016/j.atherosclerosis.2009.03.012

Smoking, inflammatory patterns and postprandial hypertriglyceridemia.

E. Kabagambe, J. Ordovás, M. Tsai, et al.. (2009). Atherosclerosis. Cited 39 times. https://doi.org/10.1016/j.atherosclerosis.2008.08.005

Perilipin polymorphism interacts with saturated fat and carbohydrates to modulate insulin resistance.

Caren E. Smith, Donna K Arnett, Dolores Corella, et al.. (2012). Nutrition, metabolism, and cardiovascular diseases : NMCD. Cited 38 times. https://doi.org/10.1016/j.numecd.2010.09.003

Genetic variants associated with VLDL, LDL and HDL particle size differ with race/ethnicity

A. Frazier-Wood, A. Manichaikul, S. Aslibekyan, et al.. (2012). Human Genetics. Cited 37 times. https://doi.org/10.1007/s00439-012-1256-1

Apolipoprotein B genetic variants modify the response to fenofibrate: a GOLDN study[S]

M. Wojczynski, Guimin Gao, I. Borecki, et al.. (2010). Journal of Lipid Research. Cited 37 times. https://doi.org/10.1194/jlr.P001834

Variants Identified in a GWAS Meta-Analysis for Blood Lipids Are Associated with the Lipid Response to Fenofibrate

S. Aslibekyan, M. Goodarzi, A. Frazier-Wood, et al.. (2012). PLoS ONE. Cited 36 times. https://doi.org/10.1371/journal.pone.0048663

The SCARB1 gene is associated with lipid response to dietary and pharmacological interventions

Yongju Liu, J. Ordovás, Guimin Gao, et al.. (2008). Journal of Human Genetics. Cited 36 times. https://doi.org/10.1007/s10038-008-0302-2

Genome-wide association study of triglyceride response to a high-fat meal among participants of the NHLBI Genetics of Lipid Lowering Drugs and Diet Network (GOLDN).

M. Wojczynski, L. Parnell, T. Pollin, et al.. (2015). Metabolism: clinical and experimental. Cited 35 times. https://doi.org/10.1016/j.metabol.2015.07.001

ADAM17_i33708A>G polymorphism interacts with dietary n-6 polyunsaturated fatty acids to modulate obesity risk in the Genetics of Lipid Lowering Drugs and Diet Network study.

M. Junyent, L. Parnell, C-Q Lai, et al.. (2010). Nutrition, metabolism, and cardiovascular diseases : NMCD. Cited 35 times. https://doi.org/10.1016/j.numecd.2009.06.011

Clustering by Plasma Lipoprotein Profile Reveals Two Distinct Subgroups with Positive Lipid Response to Fenofibrate Therapy

K. van Bochove, D. V. van Schalkwijk, L. Parnell, et al.. (2012). PLoS ONE. Cited 34 times. https://doi.org/10.1371/journal.pone.0038072

WDTC1, the Ortholog of Drosophila Adipose Gene, Associates With Human Obesity, Modulated by MUFA Intake

Chao-Qiang Lai, L. Parnell, D. Arnett, et al.. (2009). Obesity. Cited 34 times. https://doi.org/10.1038/oby.2008.561

A Powerful Test of Parent-of-Origin Effects for Quantitative Traits Using Haplotypes

R. Feng, Yinghua Wu, G. Jang, et al.. (2011). PLoS ONE. Cited 33 times. https://doi.org/10.1371/journal.pone.0028909

The genetic architecture of fasting plasma triglyceride response to fenofibrate treatment

Jennifer A. Smith, D. Arnett, Reagan J. Kelly, et al.. (2008). European Journal of Human Genetics. Cited 33 times. https://doi.org/10.1038/sj.ejhg.5202003

Interstitial Cystitis-Associated Urinary Metabolites Identified by Mass-Spectrometry Based Metabolomics Analysis

T. Kind, Eunho Cho, Taeeun D. Park, et al.. (2016). Scientific Reports. Cited 31 times. https://doi.org/10.1038/srep39227

Apolipoprotein A2 polymorphism interacts with intakes of dairy foods to influence body weight in 2 U.S. populations.

Caren E. Smith, K. Tucker, D. Arnett, et al.. (2013). The Journal of nutrition. Cited 31 times. https://doi.org/10.3945/jn.113.179051

Dietary Patterns, Genes, and Health: Challenges and Obstacles to be Overcome

A. Frazier-Wood. (2014). Current Nutrition Reports. Cited 30 times. https://doi.org/10.1007/s13668-014-0110-6

Postprandial triacylglycerol metabolism is modified by the presence of genetic variation at the perilipin (PLIN) locus in 2 white populations.

P. Pérez-Martínez, N. Yiannakouris, J. López-Miranda, et al.. (2008). The American journal of clinical nutrition. Cited 30 times. https://doi.org/10.1093/AJCN/87.3.744

Interaction of methylation-related genetic variants with circulating fatty acids on plasma lipids: a meta-analysis of 7 studies and methylation analysis of 3 studies in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium.

Yiyi Ma, J. Follis, Caren E. Smith, et al.. (2016). The American journal of clinical nutrition. Cited 28 times. https://doi.org/10.3945/ajcn.115.112987

Modulation by Dietary Fat and Carbohydrate of IRS1 Association With Type 2 Diabetes Traits in Two Populations of Different Ancestries

Ju-Sheng Zheng, D. Arnett, L. Parnell, et al.. (2013). Diabetes Care. Cited 28 times. https://doi.org/10.2337/dc12-2607

Novel variants at KCTD10, MVK, and MMAB genes interact with dietary carbohydrates to modulate HDL-cholesterol concentrations in the Genetics of Lipid Lowering Drugs and Diet Network Study.

M. Junyent, L. Parnell, Chao-Qiang Lai, et al.. (2009). The American journal of clinical nutrition. Cited 28 times. https://doi.org/10.3945/ajcn.2009.27738

Interleukin1beta genetic polymorphisms interact with polyunsaturated fatty acids to modulate risk of the metabolic syndrome.

Jian Shen, D. Arnett, J. M. Peacock, et al.. (2007). The Journal of nutrition. Cited 28 times.

Higher chylomicron remnants and LDL particle numbers associate with CD36 SNPs and DNA methylation sites that reduce CD36[S]

L. Love-Gregory, A. Kraja, Fiona Allum, et al.. (2016). Journal of Lipid Research. Cited 26 times. https://doi.org/10.1194/jlr.P065250

Assessment of postprandial triglycerides in clinical practice: Validation in a general population and coronary heart disease patients.

P. Pérez-Martínez, J. Alcalá-Díaz, E. Kabagambe, et al.. (2016). Journal of clinical lipidology. Cited 26 times. https://doi.org/10.1016/j.jacl.2016.05.009

Epigenetics Lights Up the Obesity Field

A. Martí, J. Ordovás. (2011). Obesity Facts. Cited 26 times. https://doi.org/10.1159/000329847

Genomics of Post-Prandial Lipidomic Phenotypes in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) Study

(2014). PLoS ONE. Cited 25 times. https://doi.org/10.1371/journal.pone.0099509

Clinical applications of epigenetics in cardiovascular disease: the long road ahead.

S. Aslibekyan, Steven A Claas, D. Arnett. (2015). Translational research : the journal of laboratory and clinical medicine. Cited 25 times. https://doi.org/10.1016/j.trsl.2014.04.004

Associations of the MCM6-rs3754686 proxy for milk intake in Mediterranean and American populations with cardiovascular biomarkers, disease and mortality: Mendelian randomization

Caren E. Smith, Ó. Coltell, J. Sorlí, et al.. (2016). Scientific Reports. Cited 23 times. https://doi.org/10.1038/srep33188

Effect of fenofibrate therapy and ABCA1 polymorphisms on high-density lipoprotein subclasses in the Genetics of Lipid Lowering Drugs and Diet Network.

M. Tsai, J. Ordovás, Na Li, et al.. (2010). Molecular genetics and metabolism. Cited 23 times. https://doi.org/10.1016/j.ymgme.2010.03.001

Clock Genes Explain a Large Proportion of Phenotypic Variance in Systolic Blood Pressure and This Control Is Not Modified by Environmental Temperature.

H. Dashti, S. Aslibekyan, F. Scheer, et al.. (2016). American journal of hypertension. Cited 22 times. https://doi.org/10.1093/ajh/hpv082

A clustering analysis of lipoprotein diameters in the metabolic syndrome

A. Frazier-Wood, S. Glasser, Timothy Garvey, et al.. (2011). Lipids in Health and Disease. Cited 22 times. https://doi.org/10.1186/1476-511X-10-237

Genetic variants at the PDZ-interacting domain of the scavenger receptor class B type I interact with diet to influence the risk of metabolic syndrome in obese men and women.

M. Junyent, D. Arnett, M. Tsai, et al.. (2009). The Journal of nutrition. Cited 21 times. https://doi.org/10.3945/jn.108.101196

Determination of Fenofibric Acid Concentrations by HPLC After Anion Exchange Solid-Phase Extraction From Human Serum

R. Straka, R. Burkhardt, J. Fisher. (2007). Therapeutic Drug Monitoring. Cited 21 times. https://doi.org/10.1097/ftd.0b013e318030860a

Lipid changes due to fenofibrate treatment are not associated with changes in DNA methylation patterns in the GOLDN study

M. Das, M. Irvin, Jin Sha, et al.. (2015). Frontiers in Genetics. Cited 20 times. https://doi.org/10.3389/fgene.2015.00304

Genetic variants at PSMD3 interact with dietary fat and carbohydrate to modulate insulin resistance.

Ju-Sheng Zheng, D. Arnett, L. Parnell, et al.. (2013). The Journal of nutrition. Cited 20 times. https://doi.org/10.3945/jn.112.168401

Preliminary evidence of genetic determinants of adiponectin response to fenofibrate in the Genetics of Lipid Lowering Drugs and Diet Network.

S. Aslibekyan, Ping An, A. Frazier-Wood, et al.. (2013). Nutrition, metabolism, and cardiovascular diseases : NMCD. Cited 20 times. https://doi.org/10.1016/j.numecd.2012.07.010

Cholesterol, Inflammasomes, and Atherogenesis

Jose M. Ordovas-Montanes, J. Ordovás. (2012). Current Cardiovascular Risk Reports. Cited 20 times. https://doi.org/10.1007/s12170-011-0212-2

Opportunities for Using Lipoprotein Subclass Profile by Nuclear Magnetic Resonance Spectroscopy in Assessing Insulin Resistance and Diabetes Prediction

Alexis C. Frazier-Wood, W. T. Garvey, Tara Dall, et al.. (2012). Metabolic Syndrome and Related Disorders. Cited 19 times. https://doi.org/10.1089/met.2011.0148

A data‐driven method for identifying rare variants with heterogeneous trait effects

Qunyuan Zhang, M. Irvin, D. Arnett, et al.. (2011). Genetic Epidemiology. Cited 19 times. https://doi.org/10.1002/gepi.20618

Heritable DNA Methylation in CD4+ Cells among Complex Families Displays Genetic and Non-Genetic Effects

Kenneth Day, L. Waite, A. Alonso, et al.. (2016). PLoS ONE. Cited 18 times. https://doi.org/10.1371/journal.pone.0165488

The Effect of CYP7A1 Polymorphisms on Lipid Responses to Fenofibrate

Jian Shen, D. Arnett, L. Parnell, et al.. (2012). Journal of Cardiovascular Pharmacology. Cited 18 times. https://doi.org/10.1097/FJC.0b013e31823de86b

Disparities in allele frequencies and population differentiation for 101 disease-associated single nucleotide polymorphisms between Puerto Ricans and non-Hispanic whites

J. Mattei, L. Parnell, C. Lai, et al.. (2009). BMC Genetics. Cited 18 times. https://doi.org/10.1186/1471-2156-10-45

Genome-wide association study indicates variants associated with insulin signaling and inflammation mediate lipoprotein responses to fenofibrate

A. Frazier-Wood, S. Aslibekyan, I. Borecki, et al.. (2012). Pharmacogenetics and Genomics. Cited 17 times. https://doi.org/10.1097/FPC.0b013e328357f6af

Association of gene variants with lipid levels in response to fenofibrate is influenced by metabolic syndrome status.

M. Feitosa, P. An, J. Ordovás, et al.. (2011). Atherosclerosis. Cited 17 times. https://doi.org/10.1016/j.atherosclerosis.2011.01.011

Urinary 8-hydroxy-2-deoxyguanosine and cognitive function in Puerto Rican adults.

Xiang Gao, Chao-Qiang Lai, T. Scott, et al.. (2010). American journal of epidemiology. Cited 16 times. https://doi.org/10.1093/aje/kwq136

The Relation between Erythrocyte Trans Fat and Triglyceride, VLDL- and HDL-Cholesterol Concentrations Depends on Polyunsaturated Fat

E. Kabagambe, J. Ordovás, P. Hopkins, et al.. (2012). PLoS ONE. Cited 15 times. https://doi.org/10.1371/journal.pone.0047430

Effects of fenofibrate on plasma oxidized LDL and 8-isoprostane in a sub-cohort of GOLDN participants.

Yan Dong, B. Steffen, Jing Cao, et al.. (2011). Atherosclerosis. Cited 15 times. https://doi.org/10.1016/j.atherosclerosis.2010.11.022

The effects of ABCG5/G8 polymorphisms on HDL-cholesterol concentrations depend on ABCA1 genetic variants in the Boston Puerto Rican Health Study.

M. Junyent, K. Tucker, Caren E. Smith, et al.. (2010). Nutrition, metabolism, and cardiovascular diseases : NMCD. Cited 15 times. https://doi.org/10.1016/j.numecd.2009.05.005

Interaction of an S100A9 gene variant with saturated fat and carbohydrates to modulate insulin resistance in 3 populations of different ancestries.

R. Blanco-Rojo, J. Delgado-Lista, Yu-Chi Lee, et al.. (2016). The American journal of clinical nutrition. Cited 14 times. https://doi.org/10.3945/ajcn.116.130898

Statistical Quantification of Methylation Levels by Next-Generation Sequencing

Guodong Wu, N. Yi, D. Absher, et al.. (2011). PLoS ONE. Cited 14 times. https://doi.org/10.1371/journal.pone.0021034

Adaptive genetic variation and heart disease risk

L. Parnell, Yu-Chi Lee, Chao-Qiang Lai. (2010). Current Opinion in Lipidology. Cited 14 times. https://doi.org/10.1097/MOL.0b013e3283378e42

A genome-wide study of lipid response to fenofibrate in Caucasians: a combined analysis of the GOLDN and ACCORD studies

M. Irvin, D. Rotroff, S. Aslibekyan, et al.. (2016). Pharmacogenetics and Genomics. Cited 13 times. https://doi.org/10.1097/FPC.0000000000000219

PRKCZ methylation is associated with sunlight exposure in a North American but not a Mediterranean population

S. Aslibekyan, H. Dashti, Toshiko Tanaka, et al.. (2014). Chronobiology International. Cited 12 times. https://doi.org/10.3109/07420528.2014.944266

Lipoprotein receptor-related protein 1 variants and dietary fatty acids: meta-analysis of European origin and African American studies

Caren E. Smith, J. Ngwa, Toshiko Tanaka, et al.. (2013). International Journal of Obesity. Cited 12 times. https://doi.org/10.1038/ijo.2012.215

Preliminary Evidence for an Association between LRP-1 Genotype and Body Mass Index in Humans

A. Frazier-Wood, E. Kabagambe, I. Borecki, et al.. (2012). PLoS ONE. Cited 11 times. https://doi.org/10.1371/journal.pone.0030732

Rare PPARA variants and extreme response to fenofibrate in the Genetics of Lipid-Lowering Drugs and Diet Network Study

M. Irvin, Qunyuan Zhang, E. Kabagambe, et al.. (2012). Pharmacogenetics and Genomics. Cited 11 times. https://doi.org/10.1097/FPC.0b013e328351a486

Lipoprotein Lipase S447X variant associated with VLDL, LDL and HDL diameter clustering in the MetS

A. Wood, Stephen Glasser, Timothy Garvey, et al.. (2011). Lipids in Health and Disease. Cited 11 times. https://doi.org/10.1186/1476-511X-10-143

TCF7L2 polymorphisms and inflammatory markers before and after treatment with fenofibrate

E. Kabagambe, S. Glasser, J. Ordovás, et al.. (2009). Diabetology and Metabolic Syndrome. Cited 11 times. https://doi.org/10.1186/1758-5996-1-16

Suggestion for linkage of chromosome 1p35.2 and 3q28 to plasma adiponectin concentrations in the GOLDN Study

L. Rasmussen‐Torvik, J. Pankow, J. M. Peacock, et al.. (2009). BMC Medical Genetics. Cited 11 times. https://doi.org/10.1186/1471-2350-10-39

CPT1A: the future of heart disease detection and personalized medicine?

M. Irvin, S. Aslibekyan, Bertha A. Hidalgo, et al.. (2014). Clinical Lipidology. Cited 10 times. https://doi.org/10.2217/clp.13.75

Genome-wide association studies identified novel loci for non-high-density lipoprotein cholesterol and its postprandial lipemic response

P. An, R. Straka, T. Pollin, et al.. (2014). Human Genetics. Cited 10 times. https://doi.org/10.1007/s00439-014-1435-3

The effect of a novel intergenic polymorphism (rs11774572) on HDL-cholesterol concentrations depends on TaqIB polymorphism in the cholesterol ester transfer protein gene.

M. Junyent, Yu-Chi Lee, Caren E. Smith, et al.. (2010). Nutrition, metabolism, and cardiovascular diseases : NMCD. Cited 10 times. https://doi.org/10.1016/j.numecd.2009.02.010

Polyunsaturated Fatty Acids Modulate the Association between PIK3CA-KCNMB3 Genetic Variants and Insulin Resistance

Ju-Sheng Zheng, D. Arnett, L. Parnell, et al.. (2013). PLoS ONE. Cited 9 times. https://doi.org/10.1371/journal.pone.0067394

The association between LRP-1 variants and chylomicron uptake after a high fat meal.

A. Frazier-Wood, A. Frazier-Wood, E. Kabagambe, et al.. (2013). Nutrition, metabolism, and cardiovascular diseases : NMCD. Cited 9 times. https://doi.org/10.1016/j.numecd.2012.12.007

Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits

Ju-Sheng Zheng, Chao-Qiang Lai, L. Parnell, et al.. (2014). BMC Genomics. Cited 8 times. https://doi.org/10.1186/1471-2164-15-781

ABCD2 Alters Peroxisome Proliferator-Activated Receptor α Signaling In Vitro, but Does Not Impair Responses to Fenofibrate Therapy in a Mouse Model of Diet-Induced Obesity

Xiaoxi Liu, Jing-jing Liu, Shuang Liang, et al.. (2014). Molecular Pharmacology. Cited 8 times. https://doi.org/10.1124/mol.114.092742

Short-term fenofibrate treatment reduces elevated plasma Lp-PLA2 mass and sVCAM-1 levels in a subcohort of hypertriglyceridemic GOLDN participants.

Alexander K. Tsai, B. Steffen, J. Ordovás, et al.. (2011). Translational research : the journal of laboratory and clinical medicine. Cited 6 times. https://doi.org/10.1016/j.trsl.2011.01.014

Sex-specific associations between screen time and lipoprotein subfractions.

A. Frazier-Wood, I. Borecki, M. Feitosa, et al.. (2014). International journal of sport nutrition and exercise metabolism. Cited 5 times. https://doi.org/10.1123/ijsnem.2013-0117

Genetic region characterization (Gene RECQuest) - software to assist in identification and selection of candidate genes from genomic regions

R. Sadasivam, G. Sundar, L. Vaughan, et al.. (2009). BMC Research Notes. Cited 5 times. https://doi.org/10.1186/1756-0500-2-201

Dietary Carbohydrate Modifies the Inverse Association Between Saturated Fat Intake and Cholesterol on Very Low-Density Lipoproteins.

Alexis C. Wood, Edmond K. Kabagambe, I. Borecki, et al.. (2011). Lipid insights. Cited 4 times. https://doi.org/10.4137/LPI.S7659

A family-specific linkage analysis of blood lipid response to fenofibrate in the Genetics of Lipid Lowering Drug and Diet Network

Bertha A. Hidalgo, S. Aslibekyan, H. Wiener, et al.. (2015). Pharmacogenetics and Genomics. Cited 3 times. https://doi.org/10.1097/FPC.0000000000000162

Comparison of Postprandial Responses to a High-Fat Meal in Hypertriglyceridemic Men and Women before and after Treatment with Fenofibrate in the Genetics and Lipid Lowering Drugs and Diet Network (GOLDN) Study.

S. Glasser, M. Wojczynski, A. Oberman, et al.. (2010). SRX pharmacology. Cited 2 times. https://doi.org/10.3814/2010/485146

Genetic Risk Scores Associated with Baseline Lipoprotein Subfraction Concentrations Do Not Associate with Their Responses to Fenofibrate

A. Frazier-Wood, M. Wojczynski, I. Borecki, et al.. (2014). Biology. Cited 1 times. https://doi.org/10.3390/biology3030536

Letter by Singh et al regarding article, "Apolipoprotein E polymorphisms and postprandial triglyceridemia before and after fenofibrate treatment in the GOLDN study".

Puneetpal Singh, M. Di Napoli, Monica Singh. (2011). Circulation. Cardiovascular genetics. Cited 1 times. https://doi.org/10.1161/CIRCGENETICS.110.958660

A treasure of pharmacogenomic insights into postprandial lipoproteinemia and therapeutic responses to fibrate therapy: Lessons from GOLDN

R. Rosenson. (2009). Current Atherosclerosis Reports. Cited 1 times. https://doi.org/10.1007/S11883-009-0026-6

Genetics of Non-conventional Lipoprotein Fractions

A. Frazier-Wood. (2015). Current Genetic Medicine Reports. https://doi.org/10.1007/s40142-015-0077-7

Conditional Random Fields for Fast, Large-Scale Genome-Wide Association Studies

Jim C. Huang, Christopher Meek, C. Kadie, et al.. (2011). PLoS ONE. https://doi.org/10.1371/journal.pone.0021591
NCPI Dataset Catalog
Feedback & Support
v0.9.0-d9e5747