Connection

ERIC BOERWINKLE to Databases, Genetic

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

1.398
  1. Innovation in Genomic Data Sharing at the NIH. N Engl J Med. 2019 Jun 06; 380(23):2192-2195.
    View in: PubMed
    Score: 0.487
  2. Mining genetic epidemiology data with Bayesian networks I: Bayesian networks and example application (plasma apoE levels). Bioinformatics. 2005 Aug 01; 21(15):3273-8.
    View in: PubMed
    Score: 0.184
  3. The performance of deleteriousness prediction scores for rare non-protein-changing single nucleotide variants in human genes. J Med Genet. 2017 02; 54(2):134-144.
    View in: PubMed
    Score: 0.103
  4. Use of wrapper algorithms coupled with a random forests classifier for variable selection in large-scale genomic association studies. J Comput Biol. 2009 Dec; 16(12):1705-18.
    View in: PubMed
    Score: 0.063
  5. Determinants of the success of whole-genome association testing. Genome Res. 2005 Nov; 15(11):1463-7.
    View in: PubMed
    Score: 0.047
  6. Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. Am J Hum Genet. 2022 01 06; 109(1):81-96.
    View in: PubMed
    Score: 0.036
  7. Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations. PLoS Genet. 2019 12; 15(12):e1008500.
    View in: PubMed
    Score: 0.032
  8. A Genocentric Approach to Discovery of Mendelian Disorders. Am J Hum Genet. 2019 11 07; 105(5):974-986.
    View in: PubMed
    Score: 0.031
  9. Insights into genetics, human biology and disease gleaned from family based genomic studies. Genet Med. 2019 04; 21(4):798-812.
    View in: PubMed
    Score: 0.030
  10. Identifying Genes Whose Mutant Transcripts Cause Dominant Disease Traits by Potential Gain-of-Function Alleles. Am J Hum Genet. 2018 08 02; 103(2):171-187.
    View in: PubMed
    Score: 0.029
  11. Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk. Nat Genet. 2017 Jun; 49(6):834-841.
    View in: PubMed
    Score: 0.026
  12. A hybrid computational strategy to address WGS variant analysis in >5000 samples. BMC Bioinformatics. 2016 Sep 10; 17(1):361.
    View in: PubMed
    Score: 0.025
  13. Exome sequencing in mostly consanguineous Arab families with neurologic disease provides a high potential molecular diagnosis rate. BMC Med Genomics. 2016 07 19; 9(1):42.
    View in: PubMed
    Score: 0.025
  14. Association of Exome Sequences With Cardiovascular Traits Among Blacks in the Jackson Heart Study. Circ Cardiovasc Genet. 2016 Aug; 9(4):368-74.
    View in: PubMed
    Score: 0.025
  15. Genes that Affect Brain Structure and Function Identified by Rare Variant Analyses of Mendelian Neurologic Disease. Neuron. 2015 Nov 04; 88(3):499-513.
    View in: PubMed
    Score: 0.024
  16. Genetic variants primarily associated with type 2 diabetes are related to coronary artery disease risk. Atherosclerosis. 2015 Aug; 241(2):419-26.
    View in: PubMed
    Score: 0.023
  17. Assessing structural variation in a personal genome-towards a human reference diploid genome. BMC Genomics. 2015 Apr 11; 16:286.
    View in: PubMed
    Score: 0.023
  18. Pathway analysis with next-generation sequencing data. Eur J Hum Genet. 2015 Apr; 23(4):507-15.
    View in: PubMed
    Score: 0.022
  19. Common variants in Mendelian kidney disease genes and their association with renal function. J Am Soc Nephrol. 2013 Dec; 24(12):2105-17.
    View in: PubMed
    Score: 0.020
  20. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013 Sep 05; 93(3):545-54.
    View in: PubMed
    Score: 0.020
  21. Whole-genome sequence-based analysis of high-density lipoprotein cholesterol. Nat Genet. 2013 Aug; 45(8):899-901.
    View in: PubMed
    Score: 0.020
  22. Characterizing polymorphisms and allelic diversity of von Willebrand factor gene in the 1000 Genomes. J Thromb Haemost. 2013 Feb; 11(2):261-9.
    View in: PubMed
    Score: 0.020
  23. 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: 0.019
  24. Association studies for next-generation sequencing. Genome Res. 2011 Jul; 21(7):1099-108.
    View in: PubMed
    Score: 0.017
  25. Candidate gene association resource (CARe): design, methods, and proof of concept. Circ Cardiovasc Genet. 2010 Jun; 3(3):267-75.
    View in: PubMed
    Score: 0.016
  26. New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk. Nat Genet. 2010 Feb; 42(2):105-16.
    View in: PubMed
    Score: 0.016
  27. Application of machine learning algorithms to predict coronary artery calcification with a sibship-based design. Genet Epidemiol. 2008 May; 32(4):350-60.
    View in: PubMed
    Score: 0.014
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.