This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.
DE Nielsen & A El-Sohemy (2014) Disclosure of genetic information and change in dietary intake: a randomized controlled trial. PLOS ONE
CM McBride , LM Koehly , SC Sanderson , et al. (2010) The behavioral response to personalized genetic information: will genetic risk profiles motivate individuals and families to choose more healthful behaviors?
Annu Rev Public Health
RW Grant , M Hivert , JC Pandiscio , et al. (2009) The clinical application of genetic testing in type 2 diabetes: a patient and physician survey. Diabetologia
KI Schneider & J Schmidtke (2014) Patient compliance based on genetic medicine: a literature review. J Community Genet
CS Bloss , L Madlensky , NJ Schork , et al. (2011) Genomic information as a behavioral health intervention: can it work?
S Persky , KA Kaphingst , CM Condit , et al. (2007) Assessing hypothetical scenario methodology in genetic susceptibility testing analog studies: a quantitative review. Genet Med
C Wang , ES Gordon , CB Stack , et al. (2014) A randomized trial of the clinical utility of genetic testing for obesity: design and implementation considerations. Clin Trials
C Celis-Morales , KM Livingstone , CFM Marsaux , et al. (2015) Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries. Genes Nutr
H-L Hietaranta-Luoma , R Tahvonen , T Iso-Touru , et al. (2014) An intervention study of individual, apoe genotype-based dietary and physical-activity advice: impact on health behavior. J Nutrigenet Nutrigenomics
RW Grant , KE O’Brien , JL Waxler , et al. (2013) Personalized genetic risk counseling to motivate diabetes prevention: a randomized control trail. Diabetes Care
T Marteau , V Senior , SE Humphries , et al. (2004) Psychological impact of genetic testing for familial hypercholesterolemia within a previously aware population: a randomized controlled trial. Am J Med Genet A
SC Sanderson , S Persky & S Michie (2010) Psychological and behavioral responses to genetic test results indicating increased risk of obesity: does the causal pathway from gene to obesity matter?
Public Health Genomics
SF Meisel , RJ Beeken , CHM van Jaarsveld , et al. (2015) Genetic susceptibility testing and readiness to control weight: results from a randomized controlled trial. Obesity
CMR Smerecnik , I Mesters , NK de Vries , et al. (2009) Alerting the general population to genetic risks: the value of health messages communicating the existence of genetic risk factors for public health promotion. Health Psychol
I Dar-Nimrod , BY Cheung , MB Ruby , et al. (2014) Can merely learning about obesity genes affect eating behavior?
SM Markowitz , ER Park , LM Delahanty , et al. (2011) Perceived impact of diabetes genetic risk testing among patients at high phenotypic risk for type 2 diabetes. Diabetes Care
ES Gordon , G Griffin , L Wawak , et al. (2012) ‘It’s not like judgment day’: public understanding of and reactions to personalized genomic risk information. J Genet Couns
JE Ostergren , MC Gornick , DA Carere , et al. (2015) How well do customers of direct-to-consumer personal genomic testing services comprehend genetic test results? Findings from the impact of personal genomics study. Public Health Genomics
JL Vassy , KE O’Brien , JL Waxler , et al. (2013) Impact of literacy and numeracy on motivation for behavior change after diabetes genetic risk testing. Med Decis Mak
SB Haga , W Barry , R Mills , et al. (2014) Impact of delivery models on understanding genomic risk for type 2 diabetes. Public Health Genomics
CR Lachance , LAH Erby , BM Ford , et al. (2010) Informational content, literacy demands, and usability of websites offering health-related genetic tests directly to consumers. Genet Med
H Skirton , L Goldsmith , L Jackson , et al. (2012) Direct to consumer genetic testing: a systematic review of position statements, policies and recommendations. Clin Genet
CS Bloss , NE Wineinger , BF Darst , et al. (2013) Impact of direct-to-consumer genomic testing at long term follow-up. J Med Genet
M-F Hivert , JL Vassy & JB Meigs (2014) Susceptibility to type 2 diabetes mellitus – from genes to prevention. Nat Rev Endocrinol
PJ Talmud , AD Hingorani , JA Cooper , et al. (2010) Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II Prospective Cohort Study. BMJ
H Leventhal , M Diefenbach & EA Leventhal (1992) Illness cognition: using common sense to understand treatment adherence and affect cognition interactions. Cognit Ther Res
RE Collins , AJ Wright & TM Marteau (2011) Impact of communicating personalized genetic risk information on perceived control over the risk: a systematic review. Genet Med
SF Meisel , C Walker & J Wardle (2012) Psychological responses to genetic testing for weight gain: a vignette study. Obesity (Silver Spring)
P Gallagher , H a King , SB Haga , et al. (2015) Patient beliefs and behaviors about genomic risk for type 2 diabetes: implications for prevention. J Health Commun
JG Godino , EMF van Sluijs , TM Marteau , et al. (2012) Effect of communicating genetic and phenotypic risk for type 2 diabetes in combination with lifestyle advice on objectively measured physical activity: protocol of a randomised controlled trial. BMC Public Health
B Silarova , J Lucas , AS Butterworth , et al. (2015) Information and Risk Modification Trial (INFORM): design of a randomised controlled trial of communicating different types of information about coronary heart disease risk, alongside lifestyle advice, to achieve change in health-related behaviour. BMC Public Health
A Ronteltap , H Van Trijp , A Berezowska , et al. (2013) Nutrigenomics-based personalised nutritional advice: in search of a business model?
ED Green , MS Guyer ; National Human Genome Research Institute (2011) Charting a course for genomic medicine from base pairs to bedside. Nature
J Collins , B Bertrand , V Hayes , et al. (2013) The application of genetics and nutritional genomics in practice: an international survey of knowledge, involvement and confidence among dietitians in the US, Australia and the UK. Genes Nutr