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Connection

CHRIS AMOS to Gene-Environment Interaction

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This is a "connection" page, showing publications CHRIS AMOS has written about Gene-Environment Interaction.
CHRIS AMOS
Connection Strength
2.181
Gene-Environment Interaction
  1. Bayesian variable selection for hierarchical gene-environment and gene-gene interactions. Hum Genet. 2015 Jan; 134(1):23-36.
    View in: PubMed
    Score: 0.407
  2. Natural and orthogonal interaction framework for modeling gene-environment interactions with application to lung cancer. Hum Hered. 2012; 73(4):185-94.
    View in: PubMed
    Score: 0.353
  3. A trans-omics gene-smoking interaction study of lung cancer based on consortium data. Am J Respir Crit Care Med. 2026 06 01; 212(6):1115-1128.
    View in: PubMed
    Score: 0.230
  4. Incorporating multiple sets of eQTL weights into gene-by-environment interaction analysis identifies novel susceptibility loci for pancreatic cancer. Genet Epidemiol. 2020 11; 44(8):880-892.
    View in: PubMed
    Score: 0.154
  5. Update on the State of the Science for Analytical Methods for Gene-Environment Interactions. Am J Epidemiol. 2017 Oct 01; 186(7):762-770.
    View in: PubMed
    Score: 0.126
  6. Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases. Am J Epidemiol. 2017 Oct 01; 186(7):753-761.
    View in: PubMed
    Score: 0.126
  7. Gene by Environment Investigation of Incident Lung Cancer Risk in African-Americans. EBioMedicine. 2016 Feb; 4:153-61.
    View in: PubMed
    Score: 0.112
  8. Axonal guidance signaling pathway interacting with smoking in modifying the risk of pancreatic cancer: a gene- and pathway-based interaction analysis of GWAS data. Carcinogenesis. 2014 May; 35(5):1039-45.
    View in: PubMed
    Score: 0.097
  9. Genes-environment interactions in obesity- and diabetes-associated pancreatic cancer: a GWAS data analysis. Cancer Epidemiol Biomarkers Prev. 2014 Jan; 23(1):98-106.
    View in: PubMed
    Score: 0.096
  10. Empirical hierarchical bayes approach to gene-environment interactions: development and application to genome-wide association studies of lung cancer in TRICL. Genet Epidemiol. 2013 Sep; 37(6):551-559.
    View in: PubMed
    Score: 0.094
  11. Genetic variants on 15q25.1, smoking, and lung cancer: an assessment of mediation and interaction. Am J Epidemiol. 2012 May 15; 175(10):1013-20.
    View in: PubMed
    Score: 0.085
  12. 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: 0.084
  13. Entropy-based information gain approaches to detect and to characterize gene-gene and gene-environment interactions/correlations of complex diseases. Genet Epidemiol. 2011 Nov; 35(7):706-21.
    View in: PubMed
    Score: 0.084
  14. Sensitivity to Environmental Stress and Adversity and Lung Cancer. JAMA Netw Open. 2025 01 02; 8(1):e2457079.
    View in: PubMed
    Score: 0.052
  15. Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population. Carcinogenesis. 2018 03 08; 39(3):336-346.
    View in: PubMed
    Score: 0.032
  16. 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: 0.028
  17. Increased genetic vulnerability to smoking at CHRNA5 in early-onset smokers. Arch Gen Psychiatry. 2012 Aug; 69(8):854-60.
    View in: PubMed
    Score: 0.022
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.