1 |
Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2018, 68(6): 394-424.
|
2 |
UK Biobank [EB/OL].(2021-02-01)[2021-05-20].
URL
|
3 |
王晓民, 郜恒骏. 临床生物样本库的探索与实践[M]. 上海: 上海交通大学出版社, 2017.
|
4 |
林敏, 姜岩, 张亚南, 等. 生物样本库及样本应用现状[J]. 现代肿瘤医学, 2016, 24(9): 1490-1493.
|
5 |
Macrury S, Finlayson J, Hussey-wilson S, et al. Development of a pseudo/anonymised primary care research database: Proof-of-concept study[J]. Health Informatics J, 2016, 22(2): 113-119.
|
6 |
Siu LL, Lawler M, Haussler D, et al. Facilitating a culture of responsible and effective sharing of cancer genome data[J]. Nat Med, 2016, 22(5): 464-471.
|
7 |
Pang Y, Kartsonaki C, Guo Y, et al. Socioeconomic status in relation to risks of major gastrointestinal cancers in chinese adults: a prospective study of 0.5 million people[J]. Cancer Epidemiol Biomarkers Prev, 2020, 29(4): 823-831.
|
8 |
Tan X, Tang H, Gong L, et al. Integrating genome-wide association studies and gene expression profiles with chemical-genes interaction networks to identify chemicals associated with colorectal cancer[J]. Front Genet, 2020, 11: 385.
|
9 |
Ellis L, Canchola AJ, Spiegel D, et al. Racial and ethnic disparities in cancer survival: the contribution of tumor, sociodemographic, institutional, and neighborhood characteristics[J]. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology, 2018, 36(1): 25-33.
|
10 |
Warren Andersen S, Blot WJ, Lipworth L, et al. Association of race and socioeconomic status with colorectal cancer screening, colorectal cancer risk, and mortality in southern US adults [J]. JAMA Netw Open, 2019, 2(12): e1917995.
|
11 |
Lin BM, Nadkarni GN, Tao R, et al. Genetics of chronic kidney disease stages across ancestries: The PAGE study [J]. Front Genet, 2019, 10: 494.
|
12 |
Ong JS, Gharahkhani P, An J, et al. Vitamin D and overall cancer risk and cancer mortality: a Mendelian randomization study[J]. Hum Mol Genet, 2018, 27(24): 4315-4322.
|
13 |
Cho S, Song N, Choi JY, et al. Effect of citric acid cycle genetic variants and their interactions with obesity, physical activity and energy intake on the risk of colorectal cancer: results from a nested case-control study in the UK Biobank[J]. Cancers(Basel), 2020, 12(10): 2939.
|
14 |
Peila R, Arthur RS, Rohan TE. Sex hormones, SHBG and risk of colon and rectal cancer among men and women in the UK Biobank[J]. Cancer Epidemiol, 2020, 69: 101831.
|
15 |
Larsson SC, Carter P, Vithayathil M, et al. Insulin‐like growth factor‐1 and site‐specific cancers: A Mendelian randomization study[J]. Cancer Medicine, 2020, 9(18): 6836-6842.
|
16 |
Knuppel A, Fensom GK, Watts EL, et al. Circulating insulin-like growth factor-I concentrations and risk of 30 cancers: prospective analyses in UK Biobank[J]. Cancer Res, 2020, 80(18): 4014-4021.
|
17 |
Murphy N, Carreras-torres R, Song M, et al. Circulating levels of insulin-like growth factor 1 and insulin-like growth factor binding protein 3 associate with risk of colorectal cancer based on serologic and mendelian randomization analyses[J]. Gastroenterology, 2020, 158(5): 1300-1312.e20.
|
18 |
He MM, Fang Z, Hang D, et al. Circulating liver function markers and colorectal cancer risk: A prospective cohort study in the UK Biobank[J]. Int J Cancer, 2020, 148(8): 1867-1878.
|
19 |
Hillreiner A, Baumeister SE, Sedlmeier AM, et al. Association between cardiorespiratory fitness and colorectal cancer in the UK Biobank[J]. Eur J Epidemiol, 2020, 35(10): 961-973.
|
20 |
Bradbury KE, Murphy N, Key TJ. Diet and colorectal cancer in UK Biobank: a prospective study[J]. Int J Epidemiol, 2020, 49(1): 246-258.
|
21 |
Knuppel A, Papier K, Fensom GK, et al. Meat intake and cancer risk: prospective analyses in UK Biobank[J]. Int J Epidemiol, 2020, 49(5): 1540-1552.
|
22 |
Bernstein AM, Song M, Zhang X, et al. Processed and unprocessed red meat and risk of colorectal cancer: analysis by tumor location and modification by time[J]. PLoS One, 2015, 10(8): e0135959.
|
23 |
Tabung FK, Liu L, Wang W, et al. Association of dietary inflammatory potential with colorectal cancer risk in men and women[J]. JAMA Oncology, 2018, 4(3): 366-373.
|
24 |
Noor AM, Holmberg L, Gillett C, et al. Big Data: the challenge for small research groups in the era of cancer genomics[J]. Br J Cancer, 2015, 113(10): 1405-1412.
|
25 |
谷鸿秋, 周支瑞, 章仲恒, 等. 临床预测模型: 基本概念、应用场景及研究思路[J]. 中国循证心血管医学杂志, 2018, 10(12): 1454-1456+1462.
|
26 |
Jia GC, Lu YC, Wen WQ, et al. Evaluating the utility of polygenic risk scores in identifying high-risk individuals for eight common cancers[J]. JNCI Cancer Spectr, 2020, 4(3): pkaa021.
|
27 |
Li X, Timofeeva M, Spiliopoulou A, et al. Prediction of colorectal cancer risk based on profiling with common genetic variants[J]. Int J Cancer, 2020, 147(12): 3431-3437.
|
28 |
Saunders CL, Kilian B, Thompson DJ, et al. External validation of risk prediction models incorporating common genetic variants for incident colorectal cancer using uk biobank[J]. Cancer Prev Res(Phila), 2020, 13(6): 509-520.
|
29 |
Kodeda K, Asting AG, Lonnroth C, et al. Genomic CGH-assessed structural DNA alterations in rectal carcinoma as related to local recurrence following primary operation for cure[J]. Int J Oncol, 2012, 41(4): 1397-1404.
|
30 |
Messick CA, Sanchez J, Dejulius KL, et al. CEACAM-7: a predictive marker for rectal cancer recurrence[J]. Surgery, 2010, 147(5): 713-719.
|
31 |
Messick CA, Church JM, Liu X, et al. Stage Ⅲ colorectal cancer: molecular disparity between primary cancers and lymph node metastases [J]. Ann Surg Oncol, 2010, 17(2): 425-431.
|