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51. Table 1 from A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk

52. Elucidating the Risk of Colorectal Cancer for Variants in Hereditary Colorectal Cancer Genes

60. Correction to: Comparison of two invitation-based methods for human papillomavirus (HPV) self-sampling with usual care among un- and under-screened Māori, Pacific and Asian women: study protocol for a randomised controlled community trial to examine the effect of self-sampling on participation in cervical-cancer screening

61. Physical activity and risks of breast and colorectal cancer: a Mendelian randomisation analysis

62. Comparison of two invitation-based methods for human papillomavirus (HPV) self-sampling with usual care among un- and under-screened Māori, Pacific and Asian women: study protocol for a randomised controlled community trial to examine the effect of self-sampling on participation in cervical-cancer screening

69. Correction to: Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer

71. A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk

74. Data from Influence of Smoking, Body Mass Index, and Other Factors on the Preventive Effect of Nonsteroidal Anti-Inflammatory Drugs on Colorectal Cancer Risk

77. Supplementary Tables S1-3 from Mendelian Randomization Study of Body Mass Index and Colorectal Cancer Risk

78. Data Supplement from Gene–Environment Interaction Involving Recently Identified Colorectal Cancer Susceptibility Loci

79. Data from Mendelian Randomization Study of Body Mass Index and Colorectal Cancer Risk

80. Table S2 from Influence of Smoking, Body Mass Index, and Other Factors on the Preventive Effect of Nonsteroidal Anti-Inflammatory Drugs on Colorectal Cancer Risk

81. Data from Telomere Length Varies By DNA Extraction Method: Implications for Epidemiologic Research

82. Supplementary Data from Lynch Syndrome–Associated Breast Cancers: Clinicopathologic Characteristics of a Case Series from the Colon Cancer Family Registry

83. Supplementary Table 2 from BRAF Mutation Status and Survival after Colorectal Cancer Diagnosis According to Patient and Tumor Characteristics

84. Supplementary Table 1 from BRAF Mutation Status and Survival after Colorectal Cancer Diagnosis According to Patient and Tumor Characteristics

85. Supplementary Table S7 from Intake of Dietary Fruit, Vegetables, and Fiber and Risk of Colorectal Cancer According to Molecular Subtypes: A Pooled Analysis of 9 Studies

86. Supplementary Text from Intake of Dietary Fruit, Vegetables, and Fiber and Risk of Colorectal Cancer According to Molecular Subtypes: A Pooled Analysis of 9 Studies

87. Data from Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer

88. Data from Lynch Syndrome–Associated Breast Cancers: Clinicopathologic Characteristics of a Case Series from the Colon Cancer Family Registry

89. Supplementary Tables from Identification of Novel Variants in Colorectal Cancer Families by High-Throughput Exome Sequencing

92. Appendix - clean version from Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer

93. Supplementary Figure 1 from Identification of Novel Variants in Colorectal Cancer Families by High-Throughput Exome Sequencing

94. Supplementary Data and Supplementary Tables 1 and 2 from Genetic Predictors of Circulating 25-Hydroxyvitamin D and Risk of Colorectal Cancer

95. Data from Genetic Variation in the Vitamin D Receptor (VDR) and the Vitamin D–Binding Protein (GC) and Risk for Colorectal Cancer: Results from the Colon Cancer Family Registry

96. Supplementary Tables from Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer

97. Data from Vitamin D Related Genes, CYP24A1 and CYP27B1, and Colon Cancer Risk

98. Supplementary Table 1 from Genetic Variation in the Vitamin D Receptor (VDR) and the Vitamin D–Binding Protein (GC) and Risk for Colorectal Cancer: Results from the Colon Cancer Family Registry

99. Supplementary Figure 2 from Identification of Novel Variants in Colorectal Cancer Families by High-Throughput Exome Sequencing

100. Data from Gene–Environment Interaction Involving Recently Identified Colorectal Cancer Susceptibility Loci

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