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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Dana Dabelea and Lauren Vanderlinden.

 
Connection Strength
 
 
 
0.653
 
  1. Harrall KK, Glueck DH, Lange LA, Litkowski EM, Vanderlinden LA, Konigsberg IR, Cree MG, Perng W, Dabelea D. GLP-1R Polymorphisms Modify the Relationship Between Exposure to Gestational Diabetes and Offspring BMI Growth: The EPOCH Study. Diabetes Care. 2025 May 30.
    View in: PubMed
    Score: 0.247
  2. Harrall KK, Glueck DH, Lange LA, Litkowski EM, Vanderlinden LA, Konigsberg IR, Cree MG, Perng W, Dabelea D. GLP-1R gene polymorphisms and metabolic traits during childhood and adolescence: The EPOCH study. J Clin Endocrinol Metab. 2024 Dec 18.
    View in: PubMed
    Score: 0.239
  3. Harrall KK, Bird SM, Muller KE, Vanderlinden LA, Payton ME, Bellatorre A, Dabelea D, Glueck DH. A better performing algorithm for identification of implausible growth data from longitudinal pediatric medical records. Sci Rep. 2024 08 06; 14(1):18276.
    View in: PubMed
    Score: 0.058
  4. Baker PR, Patinkin ZW, Shapiro ALB, de la Houssaye BA, Janssen RC, Vanderlinden LA, Dabelea D, Friedman JE. Altered gene expression and metabolism in fetal umbilical cord mesenchymal stem cells correspond with differences in 5-month-old infant adiposity gain. Sci Rep. 2017 12 22; 7(1):18095.
    View in: PubMed
    Score: 0.037
  5. Baker PR, Patinkin Z, Shapiro AL, De La Houssaye BA, Woontner M, Boyle KE, Vanderlinden L, Dabelea D, Friedman JE. Maternal obesity and increased neonatal adiposity correspond with altered infant mesenchymal stem cell metabolism. JCI Insight. 2017 11 02; 2(21).
    View in: PubMed
    Score: 0.036
  6. Boyle KE, Patinkin ZW, Shapiro ALB, Bader C, Vanderlinden L, Kechris K, Janssen RC, Ford RJ, Smith BK, Steinberg GR, Davidson EJ, Yang IV, Dabelea D, Friedman JE. Maternal obesity alters fatty acid oxidation, AMPK activity, and associated DNA methylation in mesenchymal stem cells from human infants. Mol Metab. 2017 11; 6(11):1503-1516.
    View in: PubMed
    Score: 0.036
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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