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This is a "connection" page, showing publications co-authored by OLGA GORLOVA and CHRIS AMOS.
OLGA GORLOVA
Connection Strength
4.859
CHRIS AMOS
  1. Imprinting detection by extending a regression-based QTL analysis method. Hum Genet. 2007 Sep; 122(2):159-74.
    View in: PubMed
    Score: 0.293
  2. Strength of selection in lung tumors correlates with clinical features better than tumor mutation burden. Sci Rep. 2024 06 03; 14(1):12732.
    View in: PubMed
    Score: 0.237
  3. Immune Infiltration in Tumor and Adjacent Non-Neoplastic Regions Codetermines Patient Clinical Outcomes in Early-Stage Lung Cancer. J Thorac Oncol. 2023 09; 18(9):1184-1198.
    View in: PubMed
    Score: 0.220
  4. Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer. Nat Genet. 2022 08; 54(8):1167-1177.
    View in: PubMed
    Score: 0.209
  5. Identification of lung cancer drivers by comparison of the observed and the expected numbers of missense and nonsense mutations in individual human genes. Oncotarget. 2022; 13:756-767.
    View in: PubMed
    Score: 0.206
  6. SNP characteristics and validation success in genome wide association studies. Hum Genet. 2022 Feb; 141(2):229-238.
    View in: PubMed
    Score: 0.201
  7. Tumor somatic mutations also existing as germline polymorphisms may help to identify functional SNPs from genome-wide association studies. Carcinogenesis. 2020 10 15; 41(10):1353-1362.
    View in: PubMed
    Score: 0.185
  8. SNP eQTL status and eQTL density in the adjacent region of the SNP are associated with its statistical significance in GWA studies. BMC Genet. 2019 11 12; 20(1):85.
    View in: PubMed
    Score: 0.173
  9. Untouchable genes in the human genome: Identifying ideal targets for cancer treatment. Cancer Genet. 2019 02; 231-232:67-79.
    View in: PubMed
    Score: 0.164
  10. Gene characteristics predicting missense, nonsense and frameshift mutations in tumor samples. BMC Bioinformatics. 2018 Nov 19; 19(1):430.
    View in: PubMed
    Score: 0.162
  11. Gene-level association analysis of systemic sclerosis: A comparison of African-Americans and White populations. PLoS One. 2018; 13(1):e0189498.
    View in: PubMed
    Score: 0.152
  12. Downstream targets of GWAS-detected genes for breast, lung, and prostate and colon cancer converge to G1/S transition pathway. Hum Mol Genet. 2017 04 15; 26(8):1465-1471.
    View in: PubMed
    Score: 0.145
  13. Allelic Spectra of Risk SNPs Are Different for Environment/Lifestyle Dependent versus Independent Diseases. PLoS Genet. 2015 Jul; 11(7):e1005371.
    View in: PubMed
    Score: 0.128
  14. SNP characteristics predict replication success in association studies. Hum Genet. 2014 Dec; 133(12):1477-86.
    View in: PubMed
    Score: 0.121
  15. How to get the most from microarray data: advice from reverse genomics. BMC Genomics. 2014 Mar 21; 15:223.
    View in: PubMed
    Score: 0.117
  16. Genes with a large intronic burden show greater evolutionary conservation on the protein level. BMC Evol Biol. 2014 Mar 16; 14(1):50.
    View in: PubMed
    Score: 0.117
  17. Building a statistical model for predicting cancer genes. PLoS One. 2012; 7(11):e49175.
    View in: PubMed
    Score: 0.107
  18. Derived SNP alleles are used more frequently than ancestral alleles as risk-associated variants in common human diseases. J Bioinform Comput Biol. 2012 Apr; 10(2):1241008.
    View in: PubMed
    Score: 0.102
  19. Identification of novel genetic markers associated with clinical phenotypes of systemic sclerosis through a genome-wide association strategy. PLoS Genet. 2011 Jul; 7(7):e1002178.
    View in: PubMed
    Score: 0.097
  20. Association of smoking with tumor size at diagnosis in non-small cell lung cancer. Lung Cancer. 2011 Dec; 74(3):378-83.
    View in: PubMed
    Score: 0.096
  21. Evolutionary evidence of the effect of rare variants on disease etiology. Clin Genet. 2011 Mar; 79(3):199-206.
    View in: PubMed
    Score: 0.092
  22. Relative effects of mutability and selection on single nucleotide polymorphisms in transcribed regions of the human genome. BMC Genomics. 2008 Jun 17; 9:292.
    View in: PubMed
    Score: 0.079
  23. DNA repair capacity and lung cancer risk in never smokers. Cancer Epidemiol Biomarkers Prev. 2008 Jun; 17(6):1322-8.
    View in: PubMed
    Score: 0.078
  24. Shifting paradigm of association studies: value of rare single-nucleotide polymorphisms. Am J Hum Genet. 2008 Jan; 82(1):100-12.
    View in: PubMed
    Score: 0.076
  25. Aggregation of cancer among relatives of never-smoking lung cancer patients. Int J Cancer. 2007 Jul 01; 121(1):111-8.
    View in: PubMed
    Score: 0.073
  26. Never smokers and lung cancer risk: a case-control study of epidemiological factors. Int J Cancer. 2006 Apr 01; 118(7):1798-804.
    View in: PubMed
    Score: 0.067
  27. Predicting the oncogenicity of missense mutations reported in the International Agency for Cancer Research (IARC) mutation database on p53. Hum Mutat. 2005 Nov; 26(5):446-54.
    View in: PubMed
    Score: 0.065
  28. Stratifying Lung Adenocarcinoma Risk with Multi-ancestry Polygenic Risk Scores in East Asian Never-Smokers. medRxiv. 2024 Nov 06.
    View in: PubMed
    Score: 0.061
  29. Missense mutations in cancer suppressor gene TP53 are colocalized with exonic splicing enhancers (ESEs). Mutat Res. 2004 Oct 04; 554(1-2):175-83.
    View in: PubMed
    Score: 0.061
  30. Identification of genetically predicted DNA methylation markers associated with non-small cell lung cancer risk among 34,964 cases and 448,579 controls. Cancer. 2024 03 15; 130(6):913-926.
    View in: PubMed
    Score: 0.057
  31. Missense mutations in hMLH1 and hMSH2 are associated with exonic splicing enhancers. Am J Hum Genet. 2003 Nov; 73(5):1157-61.
    View in: PubMed
    Score: 0.057
  32. Genetic linkage and imprinting effects on body mass index in children and young adults. Eur J Hum Genet. 2003 Jun; 11(6):425-32.
    View in: PubMed
    Score: 0.055
  33. Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population. Nat Commun. 2023 05 26; 14(1):3043.
    View in: PubMed
    Score: 0.055
  34. Mosaic Chromosomal Alterations Are Associated With Increased Lung Cancer Risk: Insight From the INTEGRAL-ILCCO Cohort Analysis. J Thorac Oncol. 2023 08; 18(8):1003-1016.
    View in: PubMed
    Score: 0.055
  35. Methylation of nonessential genes in cutaneous melanoma - Rule Out hypothesis. Melanoma Res. 2023 06 01; 33(3):163-172.
    View in: PubMed
    Score: 0.054
  36. Genetic susceptibility for lung cancer: interactions with gender and smoking history and impact on early detection policies. Hum Hered. 2003; 56(1-3):139-45.
    View in: PubMed
    Score: 0.054
  37. Power of a simplified multivariate test for genetic linkage. Ann Hum Genet. 2002 Nov; 66(Pt 5-6):407-17.
    View in: PubMed
    Score: 0.053
  38. Genetics of Smoking Behaviors in American Indians. Cancer Epidemiol Biomarkers Prev. 2020 11; 29(11):2180-2186.
    View in: PubMed
    Score: 0.046
  39. Human genes differ by their UV sensitivity estimated through analysis of UV-induced silent mutations in melanoma. Hum Mutat. 2020 10; 41(10):1751-1760.
    View in: PubMed
    Score: 0.045
  40. Protein-altering germline mutations implicate novel genes related to lung cancer development. Nat Commun. 2020 05 11; 11(1):2220.
    View in: PubMed
    Score: 0.045
  41. Association Analysis of Driver Gene-Related Genetic Variants Identified Novel Lung Cancer Susceptibility Loci with 20,871 Lung Cancer Cases and 15,971 Controls. Cancer Epidemiol Biomarkers Prev. 2020 07; 29(7):1423-1429.
    View in: PubMed
    Score: 0.045
  42. Lung Cancer Risk in Never-Smokers of European Descent is Associated With Genetic Variation in the 5p15.33 TERT-CLPTM1Ll Region. J Thorac Oncol. 2019 08; 14(8):1360-1369.
    View in: PubMed
    Score: 0.042
  43. Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development. Oncotarget. 2019 Mar 05; 10(19):1760-1774.
    View in: PubMed
    Score: 0.041
  44. Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun. 2018 08 13; 9(1):3221.
    View in: PubMed
    Score: 0.040
  45. 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: 0.039
  46. Prediction of the gene expression in normal lung tissue by the gene expression in blood. BMC Med Genomics. 2015 Nov 17; 8:77.
    View in: PubMed
    Score: 0.033
  47. The IRF5-TNPO3 association with systemic lupus erythematosus has two components that other autoimmune disorders variably share. Hum Mol Genet. 2015 Jan 15; 24(2):582-96.
    View in: PubMed
    Score: 0.030
  48. Genome-wide association study reveals novel genetic determinants of DNA repair capacity in lung cancer. Cancer Res. 2013 Jan 01; 73(1):256-64.
    View in: PubMed
    Score: 0.027
  49. Variants in inflammation genes are implicated in risk of lung cancer in never smokers exposed to second-hand smoke. Cancer Discov. 2011 Oct; 1(5):420-9.
    View in: PubMed
    Score: 0.024
  50. Genome-wide association study of systemic sclerosis identifies CD247 as a new susceptibility locus. Nat Genet. 2010 May; 42(5):426-9.
    View in: PubMed
    Score: 0.022
  51. GWAS meets microarray: are the results of genome-wide association studies and gene-expression profiling consistent? Prostate cancer as an example. PLoS One. 2009 Aug 04; 4(8):e6511.
    View in: PubMed
    Score: 0.021
  52. Interplay between mutagen sensitivity and epidemiological factors in modulatinglung cancer risk. Int J Cancer. 2007 Jun 15; 120(12):2687-95.
    View in: PubMed
    Score: 0.018
  53. Possible genomic imprinting of three human obesity-related genetic loci. Am J Hum Genet. 2005 Mar; 76(3):427-37.
    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.