4.8 Article

Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array

期刊

NATURE GENETICS
卷 45, 期 4, 页码 385-391

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/ng.2560

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资金

  1. Cancer Research UK [11174, 10588, 11022, 13065, 10118, 14136, 10124] Funding Source: Medline
  2. Intramural NIH HHS [Z99 CA999999, ZIA CP010195-06] Funding Source: Medline
  3. Medical Research Council [G0401527, G1000143, G0900871] Funding Source: Medline
  4. NCATS NIH HHS [TL1 TR000132] Funding Source: Medline
  5. NCI NIH HHS [R01 CA092579, P30 CA042014, R01 CA092447, P30 CA076292] Funding Source: Medline
  6. NIGMS NIH HHS [T32 GM007814] Funding Source: Medline
  7. Prostate Cancer UK [G2011/36] Funding Source: Medline
  8. Cancer Research UK [13065, 10118, 16561, 14136, 16565, 10588, 11174, 11022, 15007] Funding Source: researchfish
  9. Cancer Research UK
  10. The Francis Crick Institute [10124] Funding Source: researchfish
  11. Medical Research Council [G0900871, G0401527, G1000143] Funding Source: researchfish
  12. National Breast Cancer Foundation [IF-12-06] Funding Source: researchfish
  13. National Institute for Health Research [NF-SI-0509-10242] Funding Source: researchfish
  14. Prostate Cancer UK [G2011/36] Funding Source: researchfish
  15. MRC [G0900871] Funding Source: UKRI

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Prostate cancer is the most frequently diagnosed cancer in males in developed countries. To identify common prostate cancer susceptibility alleles, we genotyped 211,155 SNPs on a custom II lumina array (iCOGS) in blood DNA from 25,074 prostate cancer cases and 24,272 controls from the international PRACTICAL Consortium. Twenty-three new prostate cancer susceptibility loci were identified at genomewide significance (P < 5 x 10(-8)). More than 70 prostate cancer susceptibility loci, explaining similar to 30% of the familial risk for this disease, have now been identified. On the basis of combined risks conferred by the new and previously known risk loci, the top 1% of the risk distribution has a 4.7-fold higher risk than the average of the population being profiled. These results will facilitate population risk stratification for clinical studies.

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