Connection

ERIC BOERWINKLE to Computer Simulation

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

0.936
  1. The quantitative LOD score: test statistic and sample size for exclusion and linkage of quantitative traits in human sibships. Am J Hum Genet. 1998 Apr; 62(4):962-8.
    View in: PubMed
    Score: 0.109
  2. In silico tools for splicing defect prediction: a survey from the viewpoint of end users. Genet Med. 2014 Jul; 16(7):497-503.
    View in: PubMed
    Score: 0.081
  3. VNTR allele frequency distributions under the stepwise mutation model: a computer simulation approach. Genetics. 1993 Jul; 134(3):983-93.
    View in: PubMed
    Score: 0.079
  4. Estimating population genetic parameters and comparing model goodness-of-fit using DNA sequences with error. Genome Res. 2010 Jan; 20(1):101-9.
    View in: PubMed
    Score: 0.061
  5. Measuring marker information content by the ambiguity of block boundaries observed in dense SNP data. Ann Hum Genet. 2007 Jan; 71(Pt 1):127-40.
    View in: PubMed
    Score: 0.049
  6. Admixture-informed polygenic risk reporting using the ePRS framework. Nat Commun. 2026 Apr 30; 17(1).
    View in: PubMed
    Score: 0.048
  7. 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: 0.045
  8. Power of a simplified multivariate test for genetic linkage. Ann Hum Genet. 2002 Nov; 66(Pt 5-6):407-17.
    View in: PubMed
    Score: 0.038
  9. Genome-Wide Causation Studies of Complex Diseases. J Comput Biol. 2022 08; 29(8):908-931.
    View in: PubMed
    Score: 0.036
  10. Generalized T2 test for genome association studies. Am J Hum Genet. 2002 May; 70(5):1257-68.
    View in: PubMed
    Score: 0.036
  11. Population structure in admixed populations: effect of admixture dynamics on the pattern of linkage disequilibrium. Am J Hum Genet. 2001 Jan; 68(1):198-207.
    View in: PubMed
    Score: 0.033
  12. Efficient gene-environment interaction tests for large biobank-scale sequencing studies. Genet Epidemiol. 2020 11; 44(8):908-923.
    View in: PubMed
    Score: 0.032
  13. Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale. Nat Genet. 2020 Sep; 52(9):969-983.
    View in: PubMed
    Score: 0.032
  14. ACAT: A Fast and Powerful p Value Combination Method for Rare-Variant Analysis in Sequencing Studies. Am J Hum Genet. 2019 03 07; 104(3):410-421.
    View in: PubMed
    Score: 0.029
  15. On Robust Association Testing for Quantitative Traits and Rare Variants. G3 (Bethesda). 2016 12 07; 6(12):3941-3950.
    View in: PubMed
    Score: 0.025
  16. 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: 0.024
  17. Assessing genetic linkage and association with robust components of variance approaches. Ann Hum Genet. 1996 03; 60(2):143-60.
    View in: PubMed
    Score: 0.024
  18. FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics. Genetics. 2016 Mar; 202(3):919-29.
    View in: PubMed
    Score: 0.023
  19. A novel measure of genetic distance for highly polymorphic tandem repeat loci. Mol Biol Evol. 1995 Sep; 12(5):914-20.
    View in: PubMed
    Score: 0.023
  20. In silico prediction of splice-altering single nucleotide variants in the human genome. Nucleic Acids Res. 2014 Dec 16; 42(22):13534-44.
    View in: PubMed
    Score: 0.022
  21. Pathway analysis with next-generation sequencing data. Eur J Hum Genet. 2015 Apr; 23(4):507-15.
    View in: PubMed
    Score: 0.021
  22. Drug-gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT interval. Pharmacogenomics J. 2014 Feb; 14(1):6-13.
    View in: PubMed
    Score: 0.019
  23. Association studies for next-generation sequencing. Genome Res. 2011 Jul; 21(7):1099-108.
    View in: PubMed
    Score: 0.017
  24. Mining gold dust under the genome wide significance level: a two-stage approach to analysis of GWAS. Genet Epidemiol. 2011 Feb; 35(2):111-8.
    View in: PubMed
    Score: 0.017
  25. Inferring population mutation rate and sequencing error rate using the SNP frequency spectrum in a sample of DNA sequences. Mol Biol Evol. 2009 Jul; 26(7):1479-90.
    View in: PubMed
    Score: 0.015
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.