| scholarly article | Q13442814 |
| P50 | author | Robert C. Green | Q7342606 |
| James B. Meigs | Q64426927 | ||
| Candace Guiducci | Q29840635 | ||
| P2093 | author name string | Jose C Florez | |
| Richard W Grant | |||
| Linda M Delahanty | |||
| Elyse R Park | |||
| Jason L Vassy | |||
| Jessica L Waxler | |||
| Kelsey E O'Brien | |||
| Katherine G Stember | |||
| Laurie G Bissett | |||
| P2860 | cites work | Reduction in the Incidence of Type 2 Diabetes with Lifestyle Intervention or Metformin | Q22250892 |
| Effects of communicating DNA-based disease risk estimates on risk-reducing behaviours | Q24234616 | ||
| Global prevalence of diabetes: estimates for the year 2000 and projections for 2030 | Q27860575 | ||
| Stages of change for reducing dietary fat to 30% of energy or less. | Q52369802 | ||
| Deflating the Genomic Bubble | Q57745295 | ||
| Polymorphism in the PPARgamma2 and beta2-adrenergic genes and diet lipid effects on body composition, energy expenditure and eating behavior of obese women | Q60472311 | ||
| Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance | Q28186874 | ||
| The Path to Personalized Medicine | Q29541502 | ||
| Prevalence and trends in obesity among US adults, 1999-2008 | Q29547759 | ||
| Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study | Q29615122 | ||
| Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement | Q29619465 | ||
| Identifying primary care patients at risk for future diabetes and cardiovascular disease using electronic health records | Q33505849 | ||
| Genetic risk reclassification for type 2 diabetes by age below or above 50 years using 40 type 2 diabetes risk single nucleotide polymorphisms. | Q34141398 | ||
| Effect of direct-to-consumer genomewide profiling to assess disease risk | Q34158574 | ||
| Future health applications of genomics: priorities for communication, behavioral, and social sciences research | Q34301870 | ||
| Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study | Q34580894 | ||
| Perceived impact of diabetes genetic risk testing among patients at high phenotypic risk for type 2 diabetes. | Q34583225 | ||
| Updated genetic score based on 34 confirmed type 2 diabetes Loci is associated with diabetes incidence and regression to normoglycemia in the diabetes prevention program | Q34718943 | ||
| Genotype score in addition to common risk factors for prediction of type 2 diabetes | Q34884376 | ||
| Genomics and drug response | Q35252277 | ||
| Translating the Diabetes Prevention Program into the community. The DEPLOY Pilot Study | Q37029811 | ||
| Delivery of genomic medicine for common chronic adult diseases: a systematic review | Q37113082 | ||
| Design of a randomized trial of diabetes genetic risk testing to motivate behavior change: the Genetic Counseling/lifestyle Change (GC/LC) Study for Diabetes Prevention | Q37148908 | ||
| The cost-effectiveness of lifestyle modification or metformin in preventing type 2 diabetes in adults with impaired glucose tolerance | Q37240093 | ||
| Type 2 diabetes prevention in the real world: three-year results of the GOAL lifestyle implementation trial | Q37269521 | ||
| Cost-effectiveness of lifestyle modification in diabetic patients | Q37269534 | ||
| Genetic counseling as a tool for type 2 diabetes prevention: a genetic counseling framework for common polygenetic disorders | Q37312886 | ||
| The clinical application of genetic testing in type 2 diabetes: a patient and physician survey | Q37312908 | ||
| Has the revolution arrived? | Q37403289 | ||
| Disclosure of APOE genotype for risk of Alzheimer's disease | Q37423417 | ||
| The behavioral response to personalized genetic information: will genetic risk profiles motivate individuals and families to choose more healthful behaviors? | Q37673185 | ||
| The impact of diagnostic testing on therapeutic interventions | Q39420642 | ||
| Translating the Diabetes Prevention Program into an urban medically underserved community: a nonrandomized prospective intervention study | Q39832824 | ||
| Mendelian randomization: nature's randomized trial in the post-genome era. | Q42672170 | ||
| Translating the Diabetes Prevention Program: a comprehensive model for prevention training and program delivery | Q43234279 | ||
| A decisional balance measure and the stages of change model for weight loss | Q47179768 | ||
| Self-efficacy and the stages of exercise behavior change | Q48846414 | ||
| P275 | copyright license | Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported | Q19125045 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 13-19 | |
| P577 | publication date | 2012-08-28 | |
| P1433 | published in | Diabetes Care | Q5270111 |
| P1476 | title | Personalized genetic risk counseling to motivate diabetes prevention: a randomized trial | |
| P478 | volume | 36 |
| Q39254529 | 'I saw what the future direction would be...': experiences of diabetes risk and physical activity after diabetes screening. |
| Q35012563 | 'Someday it will be the norm': physician perspectives on the utility of genome sequencing for patient care in the MedSeq Project |
| Q47409799 | A Qualitative Study of Anticipated Decision Making around Type 2 Diabetes Genetic Testing: the Role of Scientifically Concordant and Discordant Expectations |
| Q30238515 | A Rapid Systematic Review of Outcomes Studies in Genetic Counseling. |
| Q39149579 | A randomized trial Examining The Impact Of Communicating Genetic And Lifestyle Risks For Obesity |
| Q57280633 | Behavioral impact of return of genetic test results for complex disease: Systematic review and meta-analysis |
| Q42791207 | Can genetic information change patient behavior to reduce Type 2 diabetes risk? |
| Q38563906 | Can metabotyping help deliver the promise of personalised nutrition? |
| Q35916410 | Changes in Physical Activity Following a Genetic-Based Internet-Delivered Personalized Intervention: Randomized Controlled Trial (Food4Me). |
| Q37571916 | Characteristics associated with informed consent for genetic studies in the ACCORD trial |
| Q42699298 | Cigarette smoking in women after BRCA1/2 genetic test disclosure: a 5-year follow-up study of the GENEPSO PS cohort |
| Q39026617 | Comparison of coronary heart disease genetic assessment with conventional cardiovascular risk assessment in primary care: reflections on a feasibility study |
| Q58778165 | Data With Passion and Purpose: A Public Health of Consequence, September 2018 |
| Q50438895 | Disclosing genetic risk for coronary heart disease: effects on perceived personal control and genetic counseling satisfaction. |
| Q34513835 | Disclosure of genetic information and change in dietary intake: a randomized controlled trial |
| Q47314784 | Disclosure of personalized rheumatoid arthritis risk using genetics, biomarkers, and lifestyle factors to motivate health behavior improvements:A randomized controlled trial |
| Q34084705 | Discussing race-related limitations of genomic testing for colon cancer risk: implications for education and counseling |
| Q91067239 | Disrupted functional network in patients with temporal lobe epilepsy with impaired alertness |
| Q35827874 | Do physicians think genomic medicine will be useful for patient care? |
| Q36199476 | Does Type 2 Diabetes Genetic Testing and Counseling Reduce Modifiable Risk Factors? A Randomized Controlled Trial of Veterans |
| Q90592635 | Effect of communicating personalized rheumatoid arthritis risk on concern for developing RA: A randomized controlled trial |
| Q40093199 | Elucidating Genetic Counseling Outcomes from the Perspective of Genetic Counselors. |
| Q52688269 | Evidence Based Medicine and Big Genomic Data. |
| Q35899027 | Factors Motivating Individuals to Consider Genetic Testing for Type 2 Diabetes Risk Prediction |
| Q37671512 | Gene-diet interaction and weight loss |
| Q92018322 | Genetic Risk Scores for Diabetes Diagnosis and Precision Medicine |
| Q47945968 | Genetic Test, Risk Prediction, and Counseling. |
| Q35761568 | Genetic Testing and Type 2 Diabetes Risk Awareness |
| Q61654753 | Genetic Testing for Type 2 Diabetes in High-Risk Children: the Case for Primordial Prevention |
| Q35180643 | Genetic susceptibility testing and readiness to control weight: Results from a randomized controlled trial |
| Q36884552 | Genetic susceptibility testing for chronic disease and intention for behavior change in healthy young adults |
| Q42905154 | Genomic medicine for improved prediction and primordial prevention of cardiovascular disease |
| Q38327711 | Genomic-based tools for the risk assessment, management, and prevention of type 2 diabetes |
| Q37323940 | Health coaching and genomics-potential avenues to elicit behavior change in those at risk for chronic disease: protocol for personalized medicine effectiveness study in air force primary care. |
| Q37367201 | How could disclosing incidental information from whole-genome sequencing affect patient behavior? |
| Q63916423 | Human Genetics of Obesity and Type 2 Diabetes Mellitus: Past, Present, and Future |
| Q40703417 | Impact of Genetic Testing and Family Health History Based Risk Counseling on Behavior Change and Cognitive Precursors for Type 2 Diabetes |
| Q38406288 | Inadequacies of current approaches to prediabetes and diabetes prevention. |
| Q37523745 | Introduction to personalized medicine in diabetes mellitus |
| Q38768364 | Knowing your genes: does this impact behaviour change? |
| Q36206710 | Lifestyle Advice Combined with Personalized Estimates of Genetic or Phenotypic Risk of Type 2 Diabetes, and Objectively Measured Physical Activity: A Randomized Controlled Trial. |
| Q47564533 | Mental Models of Cause and Inheritance for Type 2 Diabetes Among Unaffected Individuals Who Have a Positive Family History |
| Q87400288 | Meta-analysis of the association of ADIPOQ G276T polymorphism with insulin resistance and blood glucose |
| Q41491446 | Meta-analytic research on the relationship between cumulative risk alleles and risk of type 2 diabetes mellitus. |
| Q92650820 | Models Integrating Genetic and Lifestyle Interactions on Two Adiposity Phenotypes for Personalized Prescription of Energy-Restricted Diets With Different Macronutrient Distribution |
| Q26773982 | NIH working group report-using genomic information to guide weight management: From universal to precision treatment |
| Q38655971 | Obesity Genes, Personalized Medicine, and Public Health Policy |
| Q37582154 | Patient Perceptions About Prediabetes and Preferences for Diabetes Prevention |
| Q41112799 | Patient beliefs and behaviors about genomic risk for type 2 diabetes: implications for prevention |
| Q87675152 | Personalised medicine, disease prevention, and the inverse care law: more harm than benefit? |
| Q36199345 | Personalizing Diabetes Prevention: Is it Time to Focus on the Intervention? |
| Q37220830 | Predicting risk of type 2 diabetes mellitus with genetic risk models on the basis of established genome-wide association markers: a systematic review |
| Q30839097 | Psychological and behavioural impact of returning personal results from whole-genome sequencing: the HealthSeq project |
| Q92298240 | Recent advances and perspectives in next generation sequencing application to the genetic research of type 2 diabetes |
| Q37496614 | Responses to FTO genetic test feedback for obesity in a sample of overweight adults: a qualitative analysis |
| Q33984469 | Simple, standardized incorporation of genetic risk into non-genetic risk prediction tools for complex traits: coronary heart disease as an example |
| Q48301020 | Six-Year Diabetes Incidence After Genetic Risk Testing and Counseling: A Randomized Clinical Trial |
| Q35532317 | Sixty-five common genetic variants and prediction of type 2 diabetes |
| Q22065149 | Structural Properties of Gene Promoters Highlight More than Two Phenotypes of Diabetes |
| Q33759253 | Susceptibility to type 2 diabetes mellitus--from genes to prevention |
| Q50798301 | Talking About Type 2 Diabetes: Family Communication From the Perspective of At-Risk Relatives. |
| Q39123582 | The Application of Genomics in Diabetes: Barriers to Discovery and Implementation |
| Q30249029 | The effect of communicating the genetic risk of cardiometabolic disorders on motivation and actual engagement in preventative lifestyle modification and clinical outcome: a systematic review and meta-analysis of randomised controlled trials. |
| Q53575353 | The effect of genetic test-based risk information on behavioral outcomes: A critical examination of failed trials and a call to action. |
| Q36154490 | The impact of MTHFR 677CāāāT risk knowledge on changes in folate intake: findings from the Food4Me study |
| Q26765401 | The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis |
| Q49251934 | Type 2 Diabetes Genetic Risk Scores Are Associated With Increased Type 2 Diabetes Risk Among African Americans by Cardiometabolic Status |
Search more.