Genomes and Genes
Paul W Franks
Affiliation: National Institutes of Health
- Interaction between an 11betaHSD1 gene variant and birth era modifies the risk of hypertension in Pima IndiansPaul W Franks
Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 1550 E Indian School Rd, Phoenix, AZ 85014, USA
Hypertension 44:681-8. 2004..These data demonstrate association between genetic variability at 11betaHSD1 with hypertension, but these effects are modified by environmental factors...
- Leptin predicts a worsening of the features of the metabolic syndrome independently of obesityPaul W Franks
Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Phoenix, AZ 85014, USA
Obes Res 13:1476-84. 2005..Our goal was to test the hypothesis that leptin predicts the development of the features of MS independently of obesity...
- Habitual physical activity in children: the role of genes and the environmentPaul W Franks
National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ 85014, USA
Am J Clin Nutr 82:901-8. 2005..Understanding the factors that contribute to physical inactivity in children is important because sedentary behavior strongly relates to metabolic disorders such as obesity and diabetes...
- Does the association of habitual physical activity with the metabolic syndrome differ by level of cardiorespiratory fitness?Paul W Franks
MRC Epidemiology Unit, Cambridge, UK
Diabetes Care 27:1187-93. 2004..The purpose of this study was, therefore, to describe the association between physical activity and the metabolic syndrome and to test whether fitness level modifies this relationship...
- Variation in the eNOS gene modifies the association between total energy expenditure and glucose intolerancePaul W Franks
National Institute of DiabetesDigestiveKidney Diseases, 1550 E Indian School Rd, Phoenix, AZ 85014, USA
Diabetes 54:2795-801. 2005..Gene-environment interactions such as this may help explain why replication of genetic association frequently fails...
- Habitual energy expenditure modifies the association between NOS3 gene polymorphisms and blood pressureKarani S Vimaleswaran
Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Cambridge, UK
Am J Hypertens 21:297-302. 2008..Thus, energy expenditure may modify the association between the genetic variation at NOS3 and blood pressure...
- Physiological evidence for the involvement of peptide YY in the regulation of energy homeostasis in humansYan Guo
Obesity and Diabetes Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ 85016, USA
Obesity (Silver Spring) 14:1562-70. 2006..To explore the potential role of the endogenous peptide YY (PYY) in the long-term regulation of body weight and energy homeostasis...
- Increase in physical activity energy expenditure is associated with reduced metabolic risk independent of change in fatness and fitnessUlf Ekelund
MRC Epidemiology Unit, Elsie Widdowson Laboratory, Fulbourne Road, CB1 9NL, Cambridge, U K
Diabetes Care 30:2101-6. 2007..We sought to examine whether change in physical activity energy expenditure (PAEE) is associated with change in metabolic risk factors and whether this association is independent of change in fat mass and aerobic fitness...
- Childhood obesity, other cardiovascular risk factors, and premature deathPaul W Franks
Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
N Engl J Med 362:485-93. 2010..The effect of childhood risk factors for cardiovascular disease on adult mortality is poorly understood...
- Lack of association between PCK1 polymorphisms and obesity, physical activity, and fitness in European Youth Heart Study (EYHS)Karani S Vimaleswaran
Institute of Metabolic Science, MRC Epidemiology Unit, Cambridge, UK
Obesity (Silver Spring) 18:1975-80. 2010..Despite strong evidence from animal studies, our study in the EYHS cohort failed to identify an association of PCK1 polymorphisms with obesity, PA, and fitness...
- Absence of association between the INSIG2 gene polymorphism (rs7566605) and obesity in the European Youth Heart Study (EYHS)Karani S Vimaleswaran
MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, UK
Obesity (Silver Spring) 17:1453-7. 2009..There was also no evidence of interaction between genotype and physical activity (P = 0.95). Despite an adequately powered study, our findings suggest that rs7566605 is not associated with obesity-related traits and lipids in the EYHS...
- Association between physical activity and blood pressure is modified by variants in the G-protein coupled receptor 10Paul W Franks
University of Cambridge, Department of Public Health and Primary Care, Cambridge, UK
Hypertension 43:224-8. 2004..Knowledge of GPR10 genotype may define those who are least likely to benefit from physical activity. These findings may have relevance in the targeted treatment of hypertensive disease...
- Association analysis of Krüppel-like factor 11 variants with type 2 diabetes in Pima IndiansLijun Ma
Diabetes Molecular Genetics Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes, Digestive and Kidney Diseases, NIH, Phoenix, Arizona 85004, USA
J Clin Endocrinol Metab 93:3644-9. 2008....
- Hierarchy of individual calibration levels for heart rate and accelerometry to measure physical activitySøren Brage
MRC Epidemiology Unit, Cambridge CB1 9NL, UK
J Appl Physiol (1985) 103:682-92. 2007..In conclusion, a substantial proportion of the between-individual variance in relationships between PAI, accelerometry, and HR is captured with simple calibration procedures, feasible for use in epidemiological studies...
- TCF7L2 polymorphisms modulate proinsulin levels and beta-cell function in a British Europid populationRuth J F Loos
Medical Research Council Epidemiology Unit, Strangeways Research Laboratory, Cambridge, UK
Diabetes 56:1943-7. 2007....
- Childhood predictors of young-onset type 2 diabetesPaul W Franks
Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 1550 E Indian School Rd, Phoenix, AZ 85014, USA
Diabetes 56:2964-72. 2007..Optimal prevention of young-onset type 2 diabetes requires identification of the early-life modifiable risk factors. We aimed to do this using longitudinal data in 1,604 5- to 19-year-old initially nondiabetic American Indians...
- Evaluation of A2BP1 as an obesity geneLijun Ma
Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona, USA
Diabetes 59:2837-45. 2010..On the basis of this association and the obese phenotype of ataxin-2 knockout mice, A2BP1 was genetically and functionally analyzed to assess its potential role in human obesity...
- Dietary intakes of individual flavanols and flavonols are inversely associated with incident type 2 diabetes in European populationsRaul Zamora-Ros
MRC Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Cambridge, UK
J Nutr 144:335-43. 2014..These results suggest that individual flavonoids have different roles in the etiology of T2D. ..
- Gestational glucose tolerance and risk of type 2 diabetes in young Pima Indian offspringPaul W Franks
Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Arizona, USA
Diabetes 55:460-5. 2006..Thus, prevention of offspring type 2 diabetes may require strategies that focus on improving gestational glucose tolerance even within the normal range...
- Effect of combined movement and heart rate monitor placement on physical activity estimates during treadmill locomotion and free-livingSøren Brage
MRC Epidemiology Unit, Institute of Public Health, University of Cambridge, Elsie Widdowson Laboratory, Fulbourn Road, CB1 9NL, Cambridge, United Kingdom
Eur J Appl Physiol 96:517-24. 2006..Regardless of which position is used, this has little or no effect on movement counts and energy expenditure estimates, which is encouraging for studies where research participants may have to position the monitors themselves...
- Common genetic variants highlight the role of insulin resistance and body fat distribution in type 2 diabetes, independent of obesityRobert A Scott
MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge School of Clinical Medicine, Cambridge, U K
Diabetes 63:4378-87. 2014....
- Between-monitor differences in step counts are related to body size: implications for objective physical activity measurementJeremy Pomeroy
Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, United States of America
PLoS ONE 6:e18942. 2011..The quantification of the relationships between walking and health requires that walking is measured accurately. We correlated different measures of step accumulation to body size, overall physical activity level, and glucose regulation...
- Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathwaysRobert A Scott
Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke s Hospital, Cambridge, UK
Nat Genet 44:991-1005. 2012..Functional analysis of these newly discovered loci will further improve our understanding of glycemic control...
- Reproducibility of ad libitum energy intake with the use of a computerized vending machine systemColleen A Venti
National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
Am J Clin Nutr 91:343-8. 2010..Accurate assessment of energy intake is difficult but critical for the evaluation of eating behavior and intervention effects. Consequently, methods to assess ad libitum energy intake under controlled conditions have been developed...
- Gene-lifestyle interaction on risk of type 2 diabetesPaul W Franks
Medical Research Council Epidemiology Unit, Elsie Widdowson Laboratories, 120 Fulbourn Road, Cambridge, CB1 9NL, UK
Nutr Metab Cardiovasc Dis 17:104-24. 2007....
- No interactions between previously associated 2-hour glucose gene variants and physical activity or BMI on 2-hour glucose levelsRobert A Scott
Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke s Hospital, Cambridge, UK
Diabetes 61:1291-6. 2012..It is perhaps unlikely that top loci from genome-wide association studies will exhibit strong subgroup-specific effects, and may not, therefore, make the best candidates for the study of interactions...
- Gene-lifestyle interactions and their consequences on human healthJeremy Pomeroy
Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Ariz, USA
Med Sport Sci 54:110-35. 2009....
- The intra- and inter-instrument reliability of DXA based on ex vivo soft tissue measurementsYan Guo
Clinical Diabetes and Nutrition Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 North Sixteenth Street, Room 541 Phoenix, AZ 85016, USA
Obes Res 12:1925-9. 2004..Comparison of ex-vivo soft tissue measurements using the GE/Lunar pencil (DPX-L; GE/Lunar Co., Madison, WI) and fan beam (Prodigy dual-energy X-ray absorptiometers (DXA) GE/Lunar Co.)...
- Metabolic syndrome in youth: current issues and challengesTerry T K Huang
Endocrinology, Nutrition and Growth Branch, Center for Research for Mothers and Children, National Institute of Child Health and Human Development, 6100 Executive Boulevard, 4B11, Rockville, MD 20852, USA
Appl Physiol Nutr Metab 32:13-22. 2007..Among children and adolescents, lifestyle modification should always serve as the frontline strategy. Prevention during childhood is key to the largest possible impact on adult health at the population level...
- Estimation of Free-Living Energy Expenditure by Heart Rate and Movement Sensing: A Doubly-Labelled Water StudySøren Brage
MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
PLoS ONE 10:e0137206. 2015..Combined heart rate (HR) and acceleration (ACC) sensing may increase precision of physical activity EE (PAEE) which is the most variable component of total EE (TEE)...
- Differences in the prospective association between individual plasma phospholipid saturated fatty acids and incident type 2 diabetes: the EPIC-InterAct case-cohort studyNita G Forouhi
MRC Epidemiology Unit, University of Cambridge, Cambridge, UK Electronic address
Lancet Diabetes Endocrinol 2:810-8. 2014..In this longitudinal case-cohort study, we aimed to investigate the prospective associations between objectively measured individual plasma phospholipid SFAs and incident type 2 diabetes in EPIC-InterAct participants...
- The prospective association between total and type of fish intake and type 2 diabetes in 8 European countries: EPIC-InterAct StudyPinal S Patel
MRC Epidemiology Unit, Cambridge, UK
Am J Clin Nutr 95:1445-53. 2012..Epidemiologic evidence of an association between fish intake and type 2 diabetes (T2D) is inconsistent and unresolved...
- Establishing the role of gene-environment interactions in the etiology of type 2 diabetesNicholas J Wareham
University of Cambridge, Department of Public Health and Primary Care, Institute of Public Health, Robinson Way, Cambridge, CB2 2SR, UK
Endocrinol Metab Clin North Am 31:553-66. 2002..Understanding how to detect these individuals and which environmental factors a program should attempt to manipulate is a major goal of studies that attempt to unravel gene-environment interaction...
- PGC-1alpha genotype modifies the association of volitional energy expenditure with [OV0312]O2maxPaul W Franks
Institute of Public Health, University of Cambridge, United Kingdom
Med Sci Sports Exerc 35:1998-2004. 2003..Other murine studies demonstrate that exercise increases PGC-1alpha mRNA expression...
- Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditureSøren Brage
Institute of Sport Science and Clinical Biomechanics, University of Southern Denmark, Odense University, DK 5230 Odense, Denmark
J Appl Physiol (1985) 96:343-51. 2004..7%). In conclusion, combining HR and CSA by branched modeling improves estimates of PAEE. IC may be less crucial with this modeling technique...
- Cardiovascular response of trained preadolescent boys to mental challengePaul W Franks
Institute of Public Health, University of Cambridge, Cambridge, United Kingdom
Med Sci Sports Exerc 35:1429-35. 2003..To compare the cardiovascular reactivity response to mental challenge of aerobically trained and untrained preadolescent boys...
- Does physical activity energy expenditure explain the between-individual variation in plasma leptin concentrations after adjusting for differences in body composition?Paul W Franks
University of Cambridge, Department of Public Health and Primary Care, Cambridge, United Kingdom
J Clin Endocrinol Metab 88:3258-63. 2003..28, P = 0.005; women: beta = -0.23, P = 0.01; combined: beta = -0.26, P = 0.00008). These data suggest the existence in this population of an independent inverse association between PAEE and fasting plasma leptin level...
- Candidate gene association study in type 2 diabetes indicates a role for genes involved in beta-cell function as well as insulin actionInes Barroso
Incyte, Palo Alto, California, USA
PLoS Biol 1:E20. 2003..The absence of large single-gene effects and the detection of multiple small effects accentuate the need for the study of larger populations in order to reliably identify the size of effect we now expect for complex diseases...
- Association of polymorphisms in GPR10, the gene encoding the prolactin-releasing peptide receptor with blood pressure, but not obesity, in a U.K. Caucasian populationSumit Bhattacharyya
Department of Medicine, University of Cambridge, Addenbrooke s Hospital, Hills Road, Cambridge CB2 2QQ, U K
Diabetes 52:1296-9. 2003..The alteration in signaling properties of the receptor produced by P305L may provide a functional basis for this association...
- The Gly482Ser genotype at the PPARGC1A gene and elevated blood pressure: a meta-analysis involving 13,949 individualsKarani Santhanakrishnan Vimaleswaran
Department of Public Health and Clinical Medicine, Umea University Hospital, Umea, Sweden
J Appl Physiol (1985) 105:1352-8. 2008..41; DBP, P = 0.51). Our findings suggest that the PPARGC1A Ser482 allele may be associated with higher blood pressure, but this is only apparent in younger adults...
- Physical activity energy expenditure predicts changes in body composition in middle-aged healthy whites: effect modification by ageUlf Ekelund
Medical Research Council Epidemiology Unit, Cambridge, United Kingdom
Am J Clin Nutr 81:964-9. 2005..It is unclear whether physical activity energy expenditure (PAEE) predicts changes in body composition...
- Physical activity energy expenditure predicts progression toward the metabolic syndrome independently of aerobic fitness in middle-aged healthy Caucasians: the Medical Research Council Ely StudyUlf Ekelund
Epidemiology Unit, Medical Research Council, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, U K
Diabetes Care 28:1195-200. 2005....
- PPARGC1A genotype (Gly482Ser) predicts exceptional endurance capacity in European menAlejandro Lucia
European University of Madrid, Spain
J Appl Physiol (1985) 99:344-8. 2005..This finding has relevance from the perspective of physical performance, but it may also be informative for the targeted prevention of diseases associated with low fitness such as Type 2 diabetes...
- Type 2 diabetes-associated missense polymorphisms KCNJ11 E23K and ABCC8 A1369S influence progression to diabetes and response to interventions in the Diabetes Prevention ProgramJose C Florez
Diabetes Prevention Program Coordinating Center, Biostatistics Center, George Washington University, 6110 Executive Blvd, Suite 750, Rockville, MD 20852, USA
Diabetes 56:531-6. 2007..We further hypothesize that the diabetes-preventive effect of metformin may interact with the impact of these variants on insulin regulation...
- Lamin A/C polymorphisms, type 2 diabetes, and the metabolic syndrome: case-control and quantitative trait studiesJose L Mesa
Medical Research Center Epidemiology Unit, Cambridge, U K
Diabetes 56:884-9. 2007..Thus, it appears unlikely that variation at LMNA substantially increases the risk of type 2 diabetes or related traits in U.K. Europids...
- Non-esterified fatty acid levels and physical inactivity: the relative importance of low habitual energy expenditure and cardio-respiratory fitnessPaul W Franks
Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, CB2 2SR, UK
Br J Nutr 88:307-13. 2002..047 and -0.005 respectively). These results suggest that the area under the NEFA curve in the oral glucose tolerance test, a measure of insulin sensitivity, is strongly associated with the habitual level of physical activity...
- Features of the metabolic syndrome are associated with objectively measured physical activity and fitness in Danish children: the European Youth Heart Study (EYHS)Søren Brage
Institute of Sport and Health Biomechanics, University of Southern Denmark, Odense
Diabetes Care 27:2141-8. 2004..The purpose of this study was to examine the relationship between the metabolic syndrome and objectively measured physical activity and whether fitness modified this relationship...
- Oxygen uptakes adjusted for body composition in normal-weight and obese adolescentsUlf Ekelund
Medical Research Council Epidemiology Unit, Cambridge, United Kingdom
Obes Res 12:513-20. 2004....
- Associations between objectively assessed physical activity and indicators of body fatness in 9- to 10-y-old European children: a population-based study from 4 distinct regions in Europe (the European Youth Heart Study)Ulf Ekelund
MRC Epidemiology Unit, Strangeways Research Laboratories, Wort s Causeway, Cambridge CB1 8RN, United Kingdom
Am J Clin Nutr 80:584-90. 2004..The rising prevalence of obesity in children may be due to a reduction in physical activity (PA)...
- Reexamination of validity and reliability of the CSA monitor in walking and runningSøren Brage
Institute of Sport Science and Clinical Biomechanics, University of Southern Denmark, Main Campus, Odense University, Odense, Denmark
Med Sci Sports Exerc 35:1447-54. 2003..To evaluate the reliability and validity of the CSA (model 7164) accelerometer (MTI) in a wide walking-running speed range in laboratory and field...
- Extension of type 2 diabetes genome-wide association scan results in the diabetes prevention programAllan F Moore
Center for Human Genetic Research, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
Diabetes 57:2503-10. 2008....
- Comparing the roles of physical activity and fitness in arterial stiffness: how important is exposure measurement error?Paul W Franks
Hypertension 45:e1; author reply e1. 2005
- White-coat hypertension and risk of stroke: do the data really tell us what we need to know?Paul W Franks
Hypertension 45:183-4. 2005
- Metabolic syndrome and early death: getting to the heart of the problemPaul W Franks
Hypertension 49:10-2. 2007
- Muscling in on the genetics of quantitative disease traitsPaul W Franks
J Appl Physiol 103:1111-2. 2007
- PGC-1alpha gene and physical activity in type 2 diabetes mellitusPaul W Franks
Genetic Epidemiology and Clinical Research Group, Institute of Public Health and Clinical Medicine, Umea University Hospital, Umea, Sweden
Exerc Sport Sci Rev 34:171-5. 2006..Thus, PGC-1alpha sequence variation may interact with physical activity to modify diabetes risk via changes in oxidative energy metabolism...
- Commentary on viewpoint: Perspective on the future use of genomics in exercise prescriptionEma C Brito
J Appl Physiol 104:1248. 2008