Connection

CHRIS AMOS to Molecular Epidemiology

This is a "connection" page, showing publications CHRIS AMOS has written about Molecular Epidemiology.
Connection Strength

0.761
  1. Family-based designs. IARC Sci Publ. 2011; (163):261-80.
    View in: PubMed
    Score: 0.325
  2. The Glioma International Case-Control Study: A Report From the Genetic Epidemiology of Glioma International Consortium. Am J Epidemiol. 2016 Jan 15; 183(2):85-91.
    View in: PubMed
    Score: 0.115
  3. Bayesian variable selection for hierarchical gene-environment and gene-gene interactions. Hum Genet. 2015 Jan; 134(1):23-36.
    View in: PubMed
    Score: 0.105
  4. Next generation analytic tools for large scale genetic epidemiology studies of complex diseases. Genet Epidemiol. 2012 Jan; 36(1):22-35.
    View in: PubMed
    Score: 0.087
  5. Is there a genetic basis for lung cancer susceptibility? Recent Results Cancer Res. 1999; 151:3-12.
    View in: PubMed
    Score: 0.035
  6. Genetic simulation tools for post-genome wide association studies of complex diseases. Genet Epidemiol. 2015 Jan; 39(1):11-19.
    View in: PubMed
    Score: 0.027
  7. Genetic Analysis Workshop 16: introduction to workshop summaries. Genet Epidemiol. 2009; 33 Suppl 1:S1-7.
    View in: PubMed
    Score: 0.018
  8. Bladder cancer predisposition: a multigenic approach to DNA-repair and cell-cycle-control genes. Am J Hum Genet. 2006 Mar; 78(3):464-79.
    View in: PubMed
    Score: 0.014
  9. Association of the lymphoid tyrosine phosphatase R620W variant with rheumatoid arthritis, but not Crohn's disease, in Canadian populations. Arthritis Rheum. 2005 Jul; 52(7):1993-8.
    View in: PubMed
    Score: 0.014
  10. An evolutionary perspective on single-nucleotide polymorphism screening in molecular cancer epidemiology. Cancer Res. 2004 Mar 15; 64(6):2251-7.
    View in: PubMed
    Score: 0.013
  11. The genetics revolution and the assault on rheumatoid arthritis. Arthritis Rheum. 1999 Jun; 42(6):1071-9.
    View in: PubMed
    Score: 0.009
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.