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Jose Carlos Florez, M.D.,Ph.D.

Co-Author

This page shows the publications co-authored by Jose Florez and Dan Chasman.
Connection Strength

1.188
  1. 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: 0.212
  2. Catechol-O-methyltransferase association with hemoglobin A1c. Metabolism. 2016 07; 65(7):961-967.
    View in: PubMed
    Score: 0.169
  3. Genome-wide gene-diet interaction analysis in the UK Biobank identifies novel effects on hemoglobin A1c. Hum Mol Genet. 2021 Aug 28; 30(18):1773-1783.
    View in: PubMed
    Score: 0.061
  4. Genetic analysis of dietary intake identifies new loci and functional links with metabolic traits. Nat Hum Behav. 2021 Aug 23.
    View in: PubMed
    Score: 0.061
  5. The trans-ancestral genomic architecture of glycemic traits. Nat Genet. 2021 06; 53(6):840-860.
    View in: PubMed
    Score: 0.060
  6. Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose. PLoS One. 2020; 15(5):e0230815.
    View in: PubMed
    Score: 0.056
  7. 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: 0.053
  8. Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nat Genet. 2019 03; 51(3):452-469.
    View in: PubMed
    Score: 0.051
  9. Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium. Mol Psychiatry. 2019 12; 24(12):1920-1932.
    View in: PubMed
    Score: 0.049
  10. 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: 0.049
  11. 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: 0.049
  12. 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: 0.048
  13. 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: 0.048
  14. Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. PLoS Med. 2017 Sep; 14(9):e1002383.
    View in: PubMed
    Score: 0.047
  15. Rare and low-frequency coding variants alter human adult height. Nature. 2017 02 09; 542(7640):186-190.
    View in: PubMed
    Score: 0.045
  16. 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: 0.039
  17. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet. 2012; 8(3):e1002607.
    View in: PubMed
    Score: 0.032
  18. Physical activity attenuates the influence of FTO variants on obesity risk: a meta-analysis of 218,166 adults and 19,268 children. PLoS Med. 2011 Nov; 8(11):e1001116.
    View in: PubMed
    Score: 0.031
  19. Genetic variants at 2q24 are associated with susceptibility to type 2 diabetes. Hum Mol Genet. 2010 Jul 01; 19(13):2706-15.
    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.