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CHRIS AMOS to Melanoma

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This is a "connection" page, showing publications CHRIS AMOS has written about Melanoma.
CHRIS AMOS
Connection Strength
5.857
Melanoma
  1. Genetic variants in PDSS1 and SLC16A6 of the ketone body metabolic pathway predict cutaneous melanoma-specific survival. Mol Carcinog. 2020 06; 59(6):640-650.
    View in: PubMed
    Score: 0.386
  2. Identification of gene expression levels in primary melanoma associated with clinically meaningful characteristics. Melanoma Res. 2018 10; 28(5):380-389.
    View in: PubMed
    Score: 0.348
  3. Natural and orthogonal model for estimating gene-gene interactions applied to cutaneous melanoma. Hum Genet. 2014 May; 133(5):559-74.
    View in: PubMed
    Score: 0.248
  4. Genome-wide association study identifies novel loci predisposing to cutaneous melanoma. Hum Mol Genet. 2011 Dec 15; 20(24):5012-23.
    View in: PubMed
    Score: 0.214
  5. DNA Methylation Classes of Stage II and III Primary Melanomas and Their Clinical and Prognostic Significance. JCO Precis Oncol. 2024 Nov; 8:e2400375.
    View in: PubMed
    Score: 0.133
  6. InterMEL: An international biorepository and clinical database to uncover predictors of survival in early-stage melanoma. PLoS One. 2023; 18(4):e0269324.
    View in: PubMed
    Score: 0.119
  7. Methylation of nonessential genes in cutaneous melanoma - Rule Out hypothesis. Melanoma Res. 2023 06 01; 33(3):163-172.
    View in: PubMed
    Score: 0.118
  8. Investigation of Shared Genetic Risk Factors Between Parkinson's Disease and Cancers. Mov Disord. 2023 04; 38(4):604-615.
    View in: PubMed
    Score: 0.118
  9. Landscape of mutations in early stage primary cutaneous melanoma: An InterMEL study. Pigment Cell Melanoma Res. 2022 11; 35(6):605-612.
    View in: PubMed
    Score: 0.114
  10. Genetic variants of SDCCAG8 and MAGI2 in mitosis-related pathway genes are independent predictors of cutaneous melanoma-specific survival. Cancer Sci. 2021 Oct; 112(10):4355-4364.
    View in: PubMed
    Score: 0.106
  11. 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: 0.099
  12. Genetic variants in TKT and DERA in the nicotinamide adenine dinucleotide phosphate pathway predict melanoma survival. Eur J Cancer. 2020 09; 136:84-94.
    View in: PubMed
    Score: 0.098
  13. Functional annotation of melanoma risk loci identifies novel susceptibility genes. Carcinogenesis. 2020 06 17; 41(4):452-457.
    View in: PubMed
    Score: 0.098
  14. Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility. Nat Genet. 2020 05; 52(5):494-504.
    View in: PubMed
    Score: 0.097
  15. Genetic variants in the folate metabolic pathway genes predict cutaneous melanoma-specific survival. Br J Dermatol. 2020 10; 183(4):719-728.
    View in: PubMed
    Score: 0.096
  16. Genetic variants in glutamine metabolic pathway genes predict cutaneous melanoma-specific survival. Mol Carcinog. 2019 11; 58(11):2091-2103.
    View in: PubMed
    Score: 0.093
  17. Role of Immune Response, Inflammation, and Tumor Immune Response-Related Cytokines/Chemokines in Melanoma Progression. J Invest Dermatol. 2019 11; 139(11):2352-2358.e3.
    View in: PubMed
    Score: 0.091
  18. Genetic variants in the calcium signaling pathway genes are associated with cutaneous melanoma-specific survival. Carcinogenesis. 2019 04 29; 40(2):279-288.
    View in: PubMed
    Score: 0.091
  19. Genetic variants in ELOVL2 and HSD17B12 predict melanoma-specific survival. Int J Cancer. 2019 11 15; 145(10):2619-2628.
    View in: PubMed
    Score: 0.089
  20. A Leukocyte Infiltration Score Defined by a Gene Signature Predicts Melanoma Patient Prognosis. Mol Cancer Res. 2019 01; 17(1):109-119.
    View in: PubMed
    Score: 0.087
  21. Genetic variants in RORA and DNMT1 associated with cutaneous melanoma survival. Int J Cancer. 2018 06 01; 142(11):2303-2312.
    View in: PubMed
    Score: 0.083
  22. Genetic variants in the metzincin metallopeptidase family genes predict melanoma survival. Mol Carcinog. 2018 Jan; 57(1):22-31.
    View in: PubMed
    Score: 0.081
  23. Somatic mutation analysis in melanoma using targeted next generation sequencing. Exp Mol Pathol. 2017 10; 103(2):172-177.
    View in: PubMed
    Score: 0.081
  24. A PGC1? genetic variant associated with nevus count and melanoma mortality. Int J Cancer. 2017 09 01; 141(5):1066-1067.
    View in: PubMed
    Score: 0.079
  25. Genetic variants in the genes encoding rho GTPases and related regulators predict cutaneous melanoma-specific survival. Int J Cancer. 2017 08 15; 141(4):721-730.
    View in: PubMed
    Score: 0.079
  26. Genetic Variants in WNT2B and BTRC Predict Melanoma Survival. J Invest Dermatol. 2017 08; 137(8):1749-1756.
    View in: PubMed
    Score: 0.079
  27. Functional characterization of a multi-cancer risk locus on chr5p15.33 reveals regulation of TERT by ZNF148. Nat Commun. 2017 05 02; 8:15034.
    View in: PubMed
    Score: 0.079
  28. Association between Body Mass Index, C-Reactive Protein Levels, and Melanoma Patient Outcomes. J Invest Dermatol. 2017 08; 137(8):1792-1795.
    View in: PubMed
    Score: 0.079
  29. Two-stage genome-wide association study identifies a novel susceptibility locus associated with melanoma. Oncotarget. 2017 Mar 14; 8(11):17586-17592.
    View in: PubMed
    Score: 0.078
  30. Genetic variants in the integrin signaling pathway genes predict cutaneous melanoma survival. Int J Cancer. 2017 03 15; 140(6):1270-1279.
    View in: PubMed
    Score: 0.077
  31. Genetic variants in the PIWI-piRNA pathway gene DCP1A predict melanoma disease-specific survival. Int J Cancer. 2016 Dec 15; 139(12):2730-2737.
    View in: PubMed
    Score: 0.076
  32. Melanoma Expression Genes Identified through Genome-Wide Association Study of?Breslow Tumor Thickness. J Invest Dermatol. 2017 01; 137(1):253-257.
    View in: PubMed
    Score: 0.075
  33. A comprehensive genome-wide analysis of melanoma Breslow thickness identifies interaction between CDC42 and SCIN genetic variants. Int J Cancer. 2016 11 01; 139(9):2012-20.
    View in: PubMed
    Score: 0.075
  34. Association of Vitamin D Levels With Outcome in Patients With Melanoma After Adjustment For C-Reactive Protein. J Clin Oncol. 2016 05 20; 34(15):1741-7.
    View in: PubMed
    Score: 0.073
  35. Genetic variants in the vitamin D pathway genes VDBP and RXRA modulate cutaneous melanoma disease-specific survival. Pigment Cell Melanoma Res. 2016 Mar; 29(2):176-85.
    View in: PubMed
    Score: 0.072
  36. Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates. Bioinformatics. 2016 Jan 01; 32(1):50-7.
    View in: PubMed
    Score: 0.071
  37. Genome-wide meta-analysis identifies five new susceptibility loci for cutaneous malignant melanoma. Nat Genet. 2015 Sep; 47(9):987-995.
    View in: PubMed
    Score: 0.070
  38. Reply to Z. Li et al. J Clin Oncol. 2015 Nov 01; 33(31):3674-5.
    View in: PubMed
    Score: 0.070
  39. Integrated pathway and epistasis analysis reveals interactive effect of genetic variants at TERF1 and AFAP1L2 loci on melanoma risk. Int J Cancer. 2015 Oct 15; 137(8):1901-1909.
    View in: PubMed
    Score: 0.069
  40. Functional Variants in Notch Pathway Genes NCOR2, NCSTN, and MAML2 Predict Survival of Patients with Cutaneous Melanoma. Cancer Epidemiol Biomarkers Prev. 2015 Jul; 24(7):1101-10.
    View in: PubMed
    Score: 0.069
  41. Association of Common Genetic Polymorphisms with Melanoma Patient IL-12p40 Blood Levels, Risk, and Outcomes. J Invest Dermatol. 2015 Sep; 135(9):2266-2272.
    View in: PubMed
    Score: 0.068
  42. C-reactive protein as a marker of melanoma progression. J Clin Oncol. 2015 Apr 20; 33(12):1389-96.
    View in: PubMed
    Score: 0.068
  43. Genetic variants in Hippo pathway genes YAP1, TEAD1 and TEAD4 are associated with melanoma-specific survival. Int J Cancer. 2015 Aug 01; 137(3):638-45.
    View in: PubMed
    Score: 0.067
  44. Addressing population-specific multiple testing burdens in genetic association studies. Ann Hum Genet. 2015 Mar; 79(2):136-47.
    View in: PubMed
    Score: 0.067
  45. Genetic variants in fanconi anemia pathway genes BRCA2 and FANCA predict melanoma survival. J Invest Dermatol. 2015 Feb; 135(2):542-550.
    View in: PubMed
    Score: 0.066
  46. The relationship between blood IL-12p40 level and melanoma progression. Int J Cancer. 2015 Apr 15; 136(8):1874-80.
    View in: PubMed
    Score: 0.066
  47. The effect on melanoma risk of genes previously associated with telomere length. J Natl Cancer Inst. 2014 Oct; 106(10).
    View in: PubMed
    Score: 0.066
  48. Identification of a melanoma susceptibility locus and somatic mutation in TET2. Carcinogenesis. 2014 Sep; 35(9):2097-101.
    View in: PubMed
    Score: 0.065
  49. Joint effect of multiple common SNPs predicts melanoma susceptibility. PLoS One. 2013; 8(12):e85642.
    View in: PubMed
    Score: 0.063
  50. Obesity-related genetic variants, human pigmentation, and risk of melanoma. Hum Genet. 2013 Jul; 132(7):793-801.
    View in: PubMed
    Score: 0.059
  51. Association between putative functional variants in the PSMB9 gene and risk of melanoma--re-analysis of published melanoma genome-wide association studies. Pigment Cell Melanoma Res. 2013 May; 26(3):392-401.
    View in: PubMed
    Score: 0.059
  52. Gene variants in angiogenesis and lymphangiogenesis and cutaneous melanoma progression. Cancer Epidemiol Biomarkers Prev. 2013 May; 22(5):827-34.
    View in: PubMed
    Score: 0.059
  53. A variant in FTO shows association with melanoma risk not due to BMI. Nat Genet. 2013 Apr; 45(4):428-32, 432e1.
    View in: PubMed
    Score: 0.059
  54. Variants in melanocortin 1 receptor gene contribute to risk of melanoma--a direct sequencing analysis in a Texas population. Pigment Cell Melanoma Res. 2013 May; 26(3):422-5.
    View in: PubMed
    Score: 0.059
  55. Polymorphisms of nucleotide excision repair genes predict melanoma survival. J Invest Dermatol. 2013 Jul; 133(7):1813-21.
    View in: PubMed
    Score: 0.059
  56. Association between functional polymorphisms in genes involved in the MAPK signaling pathways and cutaneous melanoma risk. Carcinogenesis. 2013 Apr; 34(4):885-92.
    View in: PubMed
    Score: 0.058
  57. On the interplay of telomeres, nevi and the risk of melanoma. PLoS One. 2012; 7(12):e52466.
    View in: PubMed
    Score: 0.058
  58. PGC-1 coactivators regulate MITF and the tanning response. Mol Cell. 2013 Jan 10; 49(1):145-57.
    View in: PubMed
    Score: 0.058
  59. Exonuclease 1 (EXO1) gene variation and melanoma risk. DNA Repair (Amst). 2012 Mar 01; 11(3):304-9.
    View in: PubMed
    Score: 0.055
  60. No association between Parkinson disease alleles and the risk of melanoma. Cancer Epidemiol Biomarkers Prev. 2012 Jan; 21(1):243-5.
    View in: PubMed
    Score: 0.054
  61. Genome-wide association study identifies a new melanoma susceptibility locus at 1q21.3. Nat Genet. 2011 Oct 09; 43(11):1114-8.
    View in: PubMed
    Score: 0.054
  62. Genome-wide association study identifies three new melanoma susceptibility loci. Nat Genet. 2011 Oct 09; 43(11):1108-13.
    View in: PubMed
    Score: 0.054
  63. Genome-wide algorithm for detecting CNV associations with diseases. BMC Bioinformatics. 2011 Aug 09; 12:331.
    View in: PubMed
    Score: 0.053
  64. Genome-wide association study identifies nidogen 1 (NID1) as a susceptibility locus to cutaneous nevi and melanoma risk. Hum Mol Genet. 2011 Jul 01; 20(13):2673-9.
    View in: PubMed
    Score: 0.052
  65. Repair of UV light-induced DNA damage and risk of cutaneous malignant melanoma. J Natl Cancer Inst. 2003 Feb 19; 95(4):308-15.
    View in: PubMed
    Score: 0.029
  66. Cancer spectrum in DNA mismatch repair gene mutation carriers: results from a hospital based Lynch syndrome registry. Fam Cancer. 2012 Sep; 11(3):441-7.
    View in: PubMed
    Score: 0.014
  67. In vitro sensitivity to ultraviolet B light and skin cancer risk: a case-control analysis. J Natl Cancer Inst. 2005 Dec 21; 97(24):1822-31.
    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.