Connection

ERIC BOERWINKLE to Insulin

This is a "connection" page, showing publications ERIC BOERWINKLE has written about Insulin.
Connection Strength

0.752
  1. Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability. Nat Commun. 2021 01 05; 12(1):24.
    View in: PubMed
    Score: 0.115
  2. Trans-ethnic Meta-analysis and Functional Annotation Illuminates the?Genetic Architecture of Fasting Glucose and Insulin. Am J Hum Genet. 2016 Jul 07; 99(1):56-75.
    View in: PubMed
    Score: 0.084
  3. Association of the IGF1 gene with fasting insulin levels. Eur J Hum Genet. 2016 08; 24(9):1337-43.
    View in: PubMed
    Score: 0.082
  4. Association of levels of fasting glucose and insulin with rare variants at the chromosome 11p11.2-MADD locus: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. Circ Cardiovasc Genet. 2014 Jun; 7(3):374-382.
    View in: PubMed
    Score: 0.073
  5. Transferability and fine-mapping of glucose and insulin quantitative trait loci across populations: CARe, the Candidate Gene Association Resource. Diabetologia. 2012 Nov; 55(11):2970-84.
    View in: PubMed
    Score: 0.064
  6. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nat Genet. 2012 May 13; 44(6):659-69.
    View in: PubMed
    Score: 0.063
  7. Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge. Nat Genet. 2010 Feb; 42(2):142-8.
    View in: PubMed
    Score: 0.054
  8. Genome-wide linkage scans for fasting glucose, insulin, and insulin resistance in the National Heart, Lung, and Blood Institute Family Blood Pressure Program: evidence of linkages to chromosome 7q36 and 19q13 from meta-analysis. Diabetes. 2005 Mar; 54(3):909-14.
    View in: PubMed
    Score: 0.038
  9. Pro12Ala of the peroxisome proliferator-activated receptor-gamma2 gene is associated with lower serum insulin levels in nonobese African Americans: the Atherosclerosis Risk in Communities Study. Diabetes. 2003 Jun; 52(6):1568-72.
    View in: PubMed
    Score: 0.034
  10. Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program. Commun Biol. 2022 07 28; 5(1):756.
    View in: PubMed
    Score: 0.032
  11. Genome-wide association study of 1,5-anhydroglucitol identifies novel genetic loci linked to glucose metabolism. Sci Rep. 2017 06 06; 7(1):2812.
    View in: PubMed
    Score: 0.022
  12. Genetic loci for serum magnesium among African-Americans and gene-environment interaction at MUC1 and TRPM6 in European-Americans: the Atherosclerosis Risk in Communities (ARIC) study. BMC Genet. 2015 May 29; 16:56.
    View in: PubMed
    Score: 0.019
  13. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015 Feb 12; 518(7538):197-206.
    View in: PubMed
    Score: 0.019
  14. 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: 0.019
  15. Lack of correlation between thiazide-induced hyperglycemia and hypokalemia: subgroup analysis of results from the pharmacogenomic evaluation of antihypertensive responses (PEAR) study. Pharmacotherapy. 2009 Oct; 29(10):1157-65.
    View in: PubMed
    Score: 0.013
  16. The peroxisome proliferator-activated receptor-gamma2 gene polymorphism (Pro12Ala) beneficially influences insulin resistance and its tracking from childhood to adulthood: the Bogalusa Heart Study. Diabetes. 2003 May; 52(5):1265-9.
    View in: PubMed
    Score: 0.008
  17. SNP43 of CAPN10 and the risk of type 2 Diabetes in African-Americans: the Atherosclerosis Risk in Communities Study. Diabetes. 2002 Jan; 51(1):231-7.
    View in: PubMed
    Score: 0.008
  18. The GENNID Study. A resource for mapping the genes that cause NIDDM. Diabetes Care. 1996 Aug; 19(8):864-72.
    View in: PubMed
    Score: 0.005
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.