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537 results on '"Parnell, Laurence D."'

2. Genome‐Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent

Author

Smith, Caren E, Follis, Jack L, Dashti, Hassan S, Tanaka, Toshiko, Graff, Mariaelisa, Fretts, Amanda M, Kilpeläinen, Tuomas O, Wojczynski, Mary K, Richardson, Kris, Nalls, Mike A, Schulz, Christina‐Alexandra, Liu, Yongmei, Frazier‐Wood, Alexis C, van Eekelen, Esther, Wang, Carol, de Vries, Paul S, Mikkilä, Vera, Rohde, Rebecca, Psaty, Bruce M, Hansen, Torben, Feitosa, Mary F, Lai, Chao‐Qiang, Houston, Denise K, Ferruci, Luigi, Ericson, Ulrika, Wang, Zhe, de Mutsert, Renée, Oddy, Wendy H, de Jonge, Ester AL, Seppälä, Ilkka, Justice, Anne E, Lemaitre, Rozenn N, Sørensen, Thorkild IA, Province, Michael A, Parnell, Laurence D, Garcia, Melissa E, Bandinelli, Stefania, Orho‐Melander, Marju, Rich, Stephen S, Rosendaal, Frits R, Pennell, Craig E, Jong, Jessica C Kiefte‐de, Kähönen, Mika, Young, Kristin L, Pedersen, Oluf, Aslibekyan, Stella, Rotter, Jerome I, Mook‐Kanamori, Dennis O, Zillikens, M Carola, Raitakari, Olli T, North, Kari E, Overvad, Kim, Arnett, Donna K, Hofman, Albert, Lehtimäki, Terho, Tjønneland, Anne, Uitterlinden, André G, Rivadeneira, Fernando, Franco, Oscar H, German, J Bruce, Siscovick, David S, Cupples, L Adrienne, and Ordovás, José M

Subjects
Biomedical and Clinical Sciences, Nutrition and Dietetics, Genetics, Prevention, Nutrition, Obesity, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Cancer, Metabolic and endocrine, Actins, Adult, Aged, Body Mass Index, Cohort Studies, Cross-Sectional Studies, Dairy Products, Female, Gene Frequency, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Myosin-Light-Chain Phosphatase, Polymorphism, Single Nucleotide, White People, body mass index, CHARGE consortium, dairy intake, genome-wide interaction study, meta-analysis, Food Sciences, Public Health and Health Services, Food Science, Nutrition & Dietetics, Food sciences, Nutrition and dietetics
Abstract

ScopeBody weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter-individual variability in associations between body weight and dairy consumption.Methods and resultsA genome-wide interaction study to discover genetic variants that account for variation in BMI in the context of low-fat, high-fat and total dairy intake in cross-sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta-analyzed. Twenty-six genetic variants reached the selected significance threshold (p-interaction

Published
2018

6. Saturated Fat Intake Modulates the Association between an Obesity Genetic Risk Score and Body Mass Index in Two US Populations

Author

Casas-Agustench, Patricia, Arnett, Donna K, Smith, Caren E, Lai, Chao-Qiang, Parnell, Laurence D, Borecki, Ingrid B, Frazier-Wood, Alexis C, Allison, Matthew, Chen, Yii-Der Ida, Taylor, Kent D, Rich, Stephen S, Rotter, Jerome I, Lee, Yu-Chi, and Ordovás, José M

Subjects
Biomedical and Clinical Sciences, Nutrition and Dietetics, Health Sciences, Prevention, Cardiovascular, Nutrition, Genetics, Obesity, Aetiology, 2.3 Psychological, social and economic factors, 2.1 Biological and endogenous factors, Metabolic and endocrine, Oral and gastrointestinal, Cancer, Stroke, Adult, Aged, Body Mass Index, Cross-Sectional Studies, Diet, Dietary Fats, Energy Intake, Fatty Acids, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Genotype, Humans, Life Style, Linear Models, Male, Middle Aged, Motor Activity, Nutrition Assessment, Risk Factors, United States, White People, Body mass index, Genetic risk score, Saturated fat, Saturated fatty acids, Clinical Sciences, Anthropology, Biomedical and clinical sciences, Health sciences
Abstract

Combining multiple genetic variants related to obesity into a genetic risk score (GRS) might improve identification of individuals at risk of developing obesity. Moreover, characterizing gene-diet interactions is a research challenge to establish dietary recommendations to individuals with higher predisposition to obesity. Our objective was to analyze the association between an obesity GRS and body mass index (BMI) in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) population, focusing on gene-diet interactions with total fat and saturated fatty acid (SFA) intake, and to replicate findings in the Multi-Ethnic Study of Atherosclerosis (MESA) population. Cross-sectional analyses included 783 white US participants from GOLDN and 2,035 from MESA. Dietary intakes were estimated with validated food frequency questionnaires. Height and weight were measured. A weighted GRS was calculated on the basis of 63 obesity-associated variants. Multiple linear regression models adjusted by potential confounders were used to examine gene-diet interactions between dietary intake (total fat and SFA) and the obesity GRS in determining BMI. Significant interactions were found between total fat intake and the obesity GRS using these variables as continuous for BMI (P for interaction=0.010, 0.046, and 0.002 in GOLDN, MESA, and meta-analysis, respectively). These association terms were stronger when assessing interactions between SFA intake and GRS for BMI (P for interaction=0.005, 0.018, and

Published
2014

10. Genetic Definition and Sequence Analysis of Arabidopsis Centromeres

Author

Copenhaver, Gregory P., Nickel, Kathryn, Kuromori, Takashi, Benito, Maria-Ines, Kaul, Samir, Lin, Xiaoying, Bevan, Michael, Murphy, George, Harris, Barbara, Parnell, Laurence D., McCombie, W. Richard, Martienssen, Robert A., Marra, Marco, and Preuss, Daphne

Published
1999

11. 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

Author

Ma, Yiyi, Follis, Jack L, Smith, Caren E, Tanaka, Toshiko, Manichaikul, Ani W, Chu, Audrey Y, Samieri, Cecilia, Zhou, Xia, Guan, Weihua, Wang, Lu, Biggs, Mary L, Chen, Yii-Der I, Hernandez, Dena G, Borecki, Ingrid, Chasman, Daniel I, Rich, Stephen S, Ferrucci, Luigi, Irvin, Marguerite Ryan, Aslibekyan, Stella, Zhi, Degui, Tiwari, Hemant K, Claas, Steven A, Sha, Jin, Kabagambe, Edmond K, Lai, Chao-Qiang, Parnell, Laurence D, Lee, Yu-Chi, Amouyel, Philippe, Lambert, Jean-Charles, Psaty, Bruce M, King, Irena B, Mozaffarian, Dariush, McKnight, Barbara, Bandinelli, Stefania, Tsai, Michael Y, Ridker, Paul M, Ding, Jingzhong, Mstat, Kurt Lohmant, Liu, Yongmei, Sotoodehnia, Nona, Barberger-Gateau, Pascale, Steffen, Lyn M, Siscovick, David S, Absher, Devin, Arnett, Donna K, Ordovás, José M, and Lemaitre, Rozenn N

Published
2016
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16. 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)

Author

Wojczynski, Mary K., Parnell, Laurence D., Pollin, Toni I., Lai, Chao Q., Feitosa, Mary F., O’Connell, Jeff R., Frazier-Wood, Alexis C., Gibson, Quince, Aslibekyan, Stella, Ryan, Kathy A., Province, Michael A., Tiwari, Hemant K., Ordovas, Jose M., Shuldiner, Alan R., Arnett, Donna K., and Borecki, Ingrid B.

Published
2015
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33. Association between glucokinase regulatory protein (GCKR) and apolipoprotein A5 (APOA5) gene polymorphisms and triacylglycerol concentrations in fasting, postprandial, and fenofibrate-treated states

Author

Perez-Martinez, Pablo, Corella, Dolores, Shen, Jian, Arnett, Donna K, Yiannakouris, Nikos, Tai, E Syong, Orho-Melander, Marju, Tucker, Katherine L, Tsai, Michael, Straka, Robert J, Province, Michael, Kai, Chew Suok, Perez-Jimenez, Francisco, Lai, Chao-Qiang, Lopez-Miranda, Jose, Guillen, Marisa, Parnell, Laurence D, Borecki, Ingrid, Kathiresan, Sekar, and Ordovas, Jose M

Published
2009
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35. Associations of network-derived metabolite clusters with prevalent type 2 diabetes among adults of Puerto Rican descent

Author

Haslam, Danielle E, primary, Liang, Liming, additional, Wang, Dong D, additional, Kelly, Rachel S, additional, Wittenbecher, Clemens, additional, Pérez, Cynthia M, additional, Martínez, Marijulie, additional, Lee, Chih-Hao, additional, Clish, Clary B, additional, Wong, David T W, additional, Parnell, Laurence D, additional, Lai, Chao-Qiang, additional, Ordovás, José M, additional, Manson, JoAnn E, additional, Hu, Frank B, additional, Stampfer, Meir J, additional, Tucker, Katherine L, additional, Joshipura, Kaumudi J, additional, and Bhupathiraju, Shilpa N, additional

Published
2021
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39. 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

Author

Junyent, Mireia, Arnett, Donna K., Tsai, Michael Y., Kabagambe, Edmond K., Straka, Robert J., Province, Michael, An, Ping, Lai, Chao-Qiang, Parnell, Laurence D., Shen, Jian, Lee, Yu-Chi, Borecki, Ingrid, and Ordovas, Jose M.

Subjects
Single nucleotide polymorphisms -- Properties, Metabolic syndrome X -- Risk factors, Food/cooking/nutrition
Abstract

The scaffolding protein PDZ domain containing 1 (PDZK1) regulates the HDL receptor scavenger receptor class B type I. However, the effect of PDZK1 genetic variants on lipids and metabolic syndrome (MetS) traits remains unknown. This study evaluated the association of 3 PDZK1 single nucleotide polymorphisms (SNP) (i33968C > T, i15371G > A, and i19738C > T) with lipids and risk of MetS and their potential interactions with diet. PDZK1 SNP were genotyped in 1000 participants (481 men, 519 women) included in the Genetics of Lipid Lowering Drugs and Diet Network study. Lipoprotein subfractions were measured by proton NMR spectroscopy and dietary intake was estimated using a validated questionnaire. The PDZK1_i33968C > T polymorphism was associated with MetS (P = 0.034), mainly driven by the association of the minor T allele with higher plasma triglycerides (P = 0.004) and VLDL (P = 0.021), and lower adiponectin concentrations (P = 0.022) than in participants homozygous for the major allele (C). We found a significant gene x BMI x diet interaction, in which the deleterious association of the i33968T allele with MetS was observed in obese participants with high PUFA and carbohydrate (P-values ranging from 0.004 to 0.020) intakes. Conversely, a there was a protective effect in nonobese participants with high PUFA intake (P < 0.05). These findings suggest that PDZK1_i33968C > T genetic variants may be associated with a higher risk of exhibiting MetS. This gene x BMI x diet interaction offers the potential to identify dietary and other lifestyle changes that may obviate the onset of MetS in individuals with a specific genetic background.

Published
2009

40. Perilipin polymorphism interacts with dietary carbohydrates to modulate anthropometric traits in Hispanics of Caribbean origin

Author

Smith, Caren E., Tucker, Katherine L., Yiannakouris, Nikos, Garcia-Bailo, Bibiana, Mattei, Josiemer, Lai, Chao-Qiang, Parnell, Laurence D., and Ordovas, Jose M.

Subjects
Cellular proteins -- Genetic aspects, Carbohydrates -- Physiological aspects, Lipids -- Properties, Lipids -- Health aspects, Obesity -- Risk factors, Obesity -- Genetic aspects, Hispanic Americans -- Genetic aspects, Hispanic Americans -- Health aspects, Genetic polymorphisms -- Health aspects, Food/cooking/nutrition
Abstract

Perilipin (PLIN) is the major protein surrounding lipid droplets in adipocytes and regulates adipocyte metabolism by modulating the interaction between lipases and triacylglycerol stores. Associations between PLIN gene polymorphisms and obesity risk have been described, but interactions with dietary macronutrients require further attention. We examined whether dietary macronutrients (e.g. carbohydrates and fats) modulated the associations of the common PLIN 11482G > A (rs894160) single nucleotide polymorphism with obesity. We studied a population-based sample of Caribbean-origin Hispanics (n = 920, aged 45-74 y) living in the Boston area. Obesity measures (waist and hip circumference, BMI) did not differ between GG subjects and carriers of the A allele (GA and AA). In multivariate linear regression models, we found a significant interaction between complex carbohydrate intake as a continuous variable and PLIN 11482 G > A genotype for waist circumference (P = 0.002). By dichotomizing complex carbohydrate intake, we found significantly different effects across PLIN 11482G > A genotypes. When complex carbohydrate intake was < 144 g/d, waist circumference was larger in PLIN 11482G > A carriers (P = 0.024). Conversely, when complex carbohydrate intake was [greater than or equal to] 144 g/d, waist and hip circumferences were less in PLIN 11482G > A carriers (P < 0.05). These interactions were not found for simple sugars or total carbohydrates. We identified a significant gene-diet interaction associated with obesity at the PLIN locus. In subjects with higher complex carbohydrate intake, the minor allele was protective against obesity, whereas in subjects with lower carbohydrate intake, the minor allele was associated with increased obesity. These interactions may be relevant to dietary management of obesity.

Published
2008

42. Interleukin 1[beta] genetic polymorphisms interact with polyunsaturated fatty acids to modulate risk of the metabolic syndrome

Author

Shen, Jian, Arnett, Donna K., Peacock, James M., Parnell, Laurence D., Kraja, Aldi, Hixson, James E., Tsai, Michael Y., Lai, Chao-Qiang, Kabagambe, Edmond K., Straka, Robert J., and Ordovas, Jose M.

Subjects
Metabolic syndrome X -- Genetic aspects, Metabolic syndrome X -- Diet therapy, Metabolic syndrome X -- Physiological aspects, Metabolic syndrome X -- Chemical properties, Interleukin-1 -- Physiological aspects, Interleukin-1 -- Genetic aspects, Genetic polymorphisms -- Physiological aspects, Genetic polymorphisms -- Chemical properties, Unsaturated fatty acids -- Physiological aspects, Food/cooking/nutrition
Abstract

Chronic inflammation has been identified as an important component of the metabolic syndrome (MetS). Therefore, environmental and genetic factors contributing to the variation of inflammatory responses could affect individuals' susceptibility to MetS. We investigated the association between common IL 1[beta] genetic polymorphisms, inflammation, and the MetS, and the modulation of diet-related variables (i.e., erythrocyte membrane fatty acid composition) in a white U.S. population. IL 1[beta] single nucleotide polymorphisms (SNP) (-1473G > C, 511G > A, -31T > C, 3966C > T, 6054G > A), clinical and biochemical measurements were characterized in a total of 1120 subjects (540 males and 580 females) participating in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) Study. The 6054 G > A SNP was significantly associated with plasma C-reactive protein (P = 0.054), adiponectin (P=0.021), and the prevalence of MetS (P = 0.004). Moreover, there was a significant interaction between the 6054G > A SNP and erythrocyte membrane (n-3) PUFA (P = 0.019). Among subjects with low (n-3) PUFA content (below the median), the 6054 G allele was associated with increased risk of the MetS (OR = 3.29, 95%Cl = 1.49-7.26 for GG and OR = 1.95, 95%Cl = 0.854.46 for GA, P < 0.001) compared with the AA genotype, but there were no significant genotype associations among subjects with high (n-3) PUFA content (above the median). Further analyses supported a significant haplotype global effect on the MetS (P = 0.017) among subjects with low (n-3) PUFA content. These results suggested that IL 1[beta] genetic variants were associated with measures of chronic inflammation and the MetS risk, and that genetic influences were more evident among subjects with low (n-3) PUFA intake.

Published
2007

43. Carbohydrate and fat intake associated with risk of metabolic diseases through epigenetics of CPT1A

Author

Lai, Chao-Qiang, Parnell, Laurence D., Smith, Caren E., Guo, Tao, Sayols-Baixeras, Sergi, Aslibekyan, Stella, Tiwari, Hemant K., Irvin, Marguerite R., Bender, Carl, Fei, David, Hidalgo, Bertha, Hopkins, Paul N., Absher, Devin M., Province, Michael A., Elosua, Roberto, Arnett, Donna K., Ordovas, Jose M., Lai, Chao-Qiang, Parnell, Laurence D., Smith, Caren E., Guo, Tao, Sayols-Baixeras, Sergi, Aslibekyan, Stella, Tiwari, Hemant K., Irvin, Marguerite R., Bender, Carl, Fei, David, Hidalgo, Bertha, Hopkins, Paul N., Absher, Devin M., Province, Michael A., Elosua, Roberto, Arnett, Donna K., and Ordovas, Jose M.

Abstract

Background: Epigenome-wide association studies identified the cg00574958 DNA methylation site at the carnitinc palmitoyltransferase-1A (CPT1A) gene to be associated with reduced risk of metabolic diseases (hypertriglyceridemia, obesity, type 2 diabetes, hypertension, metabolic syndrome). but the mechanism underlying these associations is unknown. Objectives: We aimed to elucidate whether carbohydrate and fat intakes modulate cg00574958 methylation and the risk of metabolic diseases. Methods: We examined associations between carbohydrate (CHO) and fat (FAT) intake, as percentages of total diet energy, and the CHO/FAT ratio with CPT1A-cg00574958, and the risk of metabolic diseases in 3 populations (Genetics of Lipid Lowering Drugs and Diet Network. n = 978; Framingham Heart Study. n = 2331: and REgistre GIroni del COR study, n = 645) while adjusting for confounding factors. To understand possible causal effects of dietary intake on the risk of metabolic diseases, we performed metaanalysis, CPT1A transcription analysis, and mediation analysis with CHO and FAT intakes as exposures and cg00574958 methylation as the mediator. Results: We confirmed strong associations of cg00574958 methylation with metabolic phenotypes (BMI, triglyceride, glucose) and diseases in all 3 populations. Our results showed that CHO intake and CHO/FAT ratio were positively associated with cg00574958 methylation. whereas FAT intake was negatively correlated with cg00574958 methylation. Meta-analysis further confirmed this strong correlation, with beta = 58.4 +/- 7.27, P = 8.98 x 10(-16) for CHO intake; beta = -36.4 +/- 5.95. P = 9.96 x 10(-10) for FAT intake; and beta = 3.30 +/- 0.49. P = 1.48 x 10(-11) for the CHO/FAT ratio. Furthermore, CPT1A mRNA expression was negatively associated with CHO intake, and positively associated with FAT intake, and metabolic phenotypes. Mediation analysis supports the hypothesis that CHO intake induces CPT1A methylation, hence reducing the risk of metabolic diseas

Published
2020
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50. Interleukin 1B Variant -1473G/C (rs1143623) Influences Triglyceride and Interleukin 6 Metabolism

Author

Delgado-Lista, Javier, Garcia-Rios, Antonio, Perez-Martinez, Pablo, Solivera, Juan, Yubero-Serrano, Elena M., Fuentes, Francisco, Parnell, Laurence D., Shen, Jian, Gomez, Purificacion, Jimenez-Gomez, Yolanda, Gomez-Luna, Maria J., Marin, Carmen, Belisle, Sarah E., Rodriguez-Cantalejo, Fernando, Meydani, Simin N., Ordovas, Jose M., Perez-Jimenez, Francisco, and Lopez-Miranda, Jose

Published
2011

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