Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Linda Michele Delahanty, M.S.

Co-Author

This page shows the publications co-authored by Linda Delahanty and Paul Franks.
Connection Strength

1.548
  1. Impact of insufficient sleep on dysregulated blood glucose control under standardised meal conditions. Diabetologia. 2022 02; 65(2):356-365.
    View in: PubMed
    Score: 0.243
  2. Effects of weight loss, weight cycling, and weight loss maintenance on diabetes incidence and change in cardiometabolic traits in the Diabetes Prevention Program. Diabetes Care. 2014 Oct; 37(10):2738-45.
    View in: PubMed
    Score: 0.146
  3. Common variation at PPARGC1A/B and change in body composition and metabolic traits following preventive interventions: the Diabetes Prevention Program. Diabetologia. 2014 Mar; 57(3):485-90.
    View in: PubMed
    Score: 0.140
  4. Genetic predictors of weight loss and weight regain after intensive lifestyle modification, metformin treatment, or standard care in the Diabetes Prevention Program. Diabetes Care. 2012 Feb; 35(2):363-6.
    View in: PubMed
    Score: 0.122
  5. Assessing gene-treatment interactions at the FTO and INSIG2 loci on obesity-related traits in the Diabetes Prevention Program. Diabetologia. 2008 Dec; 51(12):2214-23.
    View in: PubMed
    Score: 0.098
  6. The Pro12Ala variant at the peroxisome proliferator-activated receptor gamma gene and change in obesity-related traits in the Diabetes Prevention Program. Diabetologia. 2007 Dec; 50(12):2451-60.
    View in: PubMed
    Score: 0.091
  7. Validity of continuous glucose monitoring for categorizing glycemic responses to diet: implications for use in personalized nutrition. Am J Clin Nutr. 2022 Feb 04.
    View in: PubMed
    Score: 0.062
  8. Interaction of diabetes genetic risk and successful lifestyle modification in the Diabetes Prevention Programme. Diabetes Obes Metab. 2021 04; 23(4):1030-1040.
    View in: PubMed
    Score: 0.057
  9. Publisher Correction: Human postprandial responses to food and potential for precision nutrition. Nat Med. 2020 Nov; 26(11):1802.
    View in: PubMed
    Score: 0.056
  10. Human postprandial responses to food and potential for precision nutrition. Nat Med. 2020 06; 26(6):964-973.
    View in: PubMed
    Score: 0.055
  11. Interaction Between Type 2 Diabetes Prevention Strategies and Genetic Determinants of Coronary Artery Disease on Cardiometabolic Risk Factors. Diabetes. 2020 01; 69(1):112-120.
    View in: PubMed
    Score: 0.053
  12. Large Inter-individual Variation in Postprandial Lipemia Following a Mixed Meal in over 1000 Twins and Singletons from the UK and US: The PREDICT I Study (OR19-06-19). Curr Dev Nutr. 2019 Jun; 3(Suppl 1).
    View in: PubMed
    Score: 0.051
  13. Predicting Personal Metabolic Responses to Food Using Multi-omics Machine Learning in over 1000 Twins and Singletons from the UK and US: The PREDICT I Study (OR31-01-19). Curr Dev Nutr. 2019 Jun; 3(Suppl 1).
    View in: PubMed
    Score: 0.051
  14. Replication of the Association of BDNF and MC4R Variants With Dietary Intake in the Diabetes Prevention Program. Psychosom Med. 2017 Feb/Mar; 79(2):224-233.
    View in: PubMed
    Score: 0.044
  15. Genetic Predisposition to Weight Loss and Regain With Lifestyle Intervention: Analyses From the Diabetes Prevention Program and the Look AHEAD Randomized Controlled Trials. Diabetes. 2015 Dec; 64(12):4312-21.
    View in: PubMed
    Score: 0.039
  16. The impact of lifestyle intervention on sedentary time in individuals at high risk of diabetes. Diabetologia. 2015 Jun; 58(6):1198-202.
    View in: PubMed
    Score: 0.038
  17. Long-term changes in dietary and food intake behaviour in the Diabetes Prevention Program Outcomes Study. Diabet Med. 2014 Dec; 31(12):1631-42.
    View in: PubMed
    Score: 0.036
  18. The influence of rare genetic variation in SLC30A8 on diabetes incidence and ß-cell function. J Clin Endocrinol Metab. 2014 May; 99(5):E926-30.
    View in: PubMed
    Score: 0.035
  19. Predictors of sustained reduction in energy and fat intake in the Diabetes Prevention Program Outcomes Study intensive lifestyle intervention. J Acad Nutr Diet. 2013 Nov; 113(11):1455-1464.
    View in: PubMed
    Score: 0.035
  20. Variation at the melanocortin 4 receptor gene and response to weight-loss interventions in the diabetes prevention program. Obesity (Silver Spring). 2013 Sep; 21(9):E520-6.
    View in: PubMed
    Score: 0.034
  21. Genetic modulation of lipid profiles following lifestyle modification or metformin treatment: the Diabetes Prevention Program. PLoS Genet. 2012; 8(8):e1002895.
    View in: PubMed
    Score: 0.032
  22. TCF7L2 polymorphism, weight loss and proinsulin:insulin ratio in the diabetes prevention program. PLoS One. 2011; 6(7):e21518.
    View in: PubMed
    Score: 0.030
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.