Harvard Catalyst Profiles

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

Paul Franks, Ph.D.

Co-Author

This page shows the publications co-authored by Paul Franks and Kenneth Mukamal.
Connection Strength

0.525
  1. Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry. Hum Mol Genet. 2015 Aug 15; 24(16):4728-38.
    View in: PubMed
    Score: 0.155
  2. Meta-analysis investigating associations between healthy diet and fasting glucose and insulin levels and modification by loci associated with glucose homeostasis in data from 15 cohorts. Am J Epidemiol. 2013 Jan 15; 177(2):103-15.
    View in: PubMed
    Score: 0.131
  3. Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysis. BMJ. 2019 07 25; 366:l4292.
    View in: PubMed
    Score: 0.052
  4. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions. Am J Epidemiol. 2019 06 01; 188(6):1033-1054.
    View in: PubMed
    Score: 0.051
  5. Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians. Am J Clin Nutr. 2015 Nov; 102(5):1266-78.
    View in: PubMed
    Score: 0.039
  6. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption. Mol Psychiatry. 2015 May; 20(5):647-656.
    View in: PubMed
    Score: 0.037
  7. Higher magnesium intake is associated with lower fasting glucose and insulin, with no evidence of interaction with select genetic loci, in a meta-analysis of 15 CHARGE Consortium Studies. J Nutr. 2013 Mar; 143(3):345-53.
    View in: PubMed
    Score: 0.033
  8. Interactions of dietary whole-grain intake with fasting glucose- and insulin-related genetic loci in individuals of European descent: a meta-analysis of 14 cohort studies. Diabetes Care. 2010 Dec; 33(12):2684-91.
    View in: PubMed
    Score: 0.028
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.