Harvard Catalyst Profiles

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Paul Franks, Ph.D.

Co-Author

This page shows the publications co-authored by Paul Franks and Oscar Franco.
Connection Strength

0.989
  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. A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure. Hum Mol Genet. 2019 08 01; 28(15):2615-2633.
    View in: PubMed
    Score: 0.052
  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. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2019 Jul; 51(7):1191-1192.
    View in: PubMed
    Score: 0.051
  5. 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
  6. A comprehensive evaluation of the genetic architecture of sudden cardiac arrest. Eur Heart J. 2018 11 21; 39(44):3961-3969.
    View in: PubMed
    Score: 0.049
  7. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries. PLoS One. 2018; 13(6):e0198166.
    View in: PubMed
    Score: 0.048
  8. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018 05; 50(5):765-766.
    View in: PubMed
    Score: 0.047
  9. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018 05; 50(5):766-767.
    View in: PubMed
    Score: 0.047
  10. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat Genet. 2018 04; 50(4):559-571.
    View in: PubMed
    Score: 0.047
  11. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. Am J Hum Genet. 2018 03 01; 102(3):375-400.
    View in: PubMed
    Score: 0.047
  12. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018 01; 50(1):26-41.
    View in: PubMed
    Score: 0.046
  13. Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation. Nat Genet. 2015 11; 47(11):1282-1293.
    View in: PubMed
    Score: 0.040
  14. 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
  15. New genetic loci link adipose and insulin biology to body fat distribution. Nature. 2015 Feb 12; 518(7538):187-196.
    View in: PubMed
    Score: 0.038
  16. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015 Feb 12; 518(7538):197-206.
    View in: PubMed
    Score: 0.038
  17. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. Nat Commun. 2015 Jan 29; 6:5897.
    View in: PubMed
    Score: 0.038
  18. FTO genetic variants, dietary intake and body mass index: insights from 177,330 individuals. Hum Mol Genet. 2014 Dec 20; 23(25):6961-72.
    View in: PubMed
    Score: 0.037
  19. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake. Am J Clin Nutr. 2013 Jun; 97(6):1395-402.
    View in: PubMed
    Score: 0.034
  20. 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
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.