Common genetic variation in IGF1 and prostate cancer risk in the Multiethnic Cohort

被引:84
|
作者
Cheng, I
Stram, DO
Penney, KL
Pike, M
Le Marchand, L
Kolonel, LN
Hirschhorn, J
Altshuler, D
Henderson, BE
Freedman, ML [1 ]
机构
[1] Harvard & MIT, Broad Inst, Program Med & Populat Genet, Cambridge, MA 02139 USA
[2] Univ So Calif, Keck Sch Med, Kenneth Norris Jr Comprehens Canc Ctr, Dept Prevent Med, Los Angeles, CA USA
[3] Harvard Univ, Sch Med, Dept Genet, Boston, MA 02115 USA
[4] Harvard Univ, Sch Med, Dept Med, Boston, MA 02115 USA
[5] Harvard Univ, Sch Med, Dept Pediat, Boston, MA 02115 USA
[6] Massachusetts Gen Hosp, Dept Mol Biol, Boston, MA 02114 USA
[7] Massachusetts Gen Hosp, Diabet Unit, Boston, MA 02114 USA
[8] Univ Hawaii, Canc Res Ctr Hawaii, Canc Etiol Program, Honolulu, HI 96813 USA
[9] Childrens Hosp, Div Genet & Endocrinol, Boston, MA 02115 USA
[10] Dept Pediat, Boston, MA USA
关键词
D O I
10.1093/jnci/djj013
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background. Insulin-like growth factor I (IGF-I) appears to play a role in prostate development and careinogenesis. We investigated whether genetic variation at the IGF1 locus is associated with prostate cancer risk. Methods: We sequenced IGF1 exons in germline DNA from 95 men with advanced prostate cancer to identify missense variants. IGF1 linkage disequilibrium patterns and common haplotypes were characterized by genotyping 64 single-nucleotide polymorphisms (SNPs) spanning 156 kilobases in 349 control subjects. Associations between IGF1 haplotypes and genotypes were investigated among 2320 patients with prostate cancer and 2290 control subjects from the Multiethnic Cohort. Odds ratios (ORs) and 95% confidence intervals (Cis) were estimated by unconditional logistic regression to determine the association between prostate cancer and IGF1 haplotypes and. genotypes. We used permutation testing to correct for multiple hypothesis testing. All statistical tests were two-sided. Results: No IGF1 missense variants were observed. We identified four blocks of strong linkage disequilibrium and selected a subset of 29 tagging SNPs that could accurately predict both the common IGF1 haplotypes and the remaining SNPs. Haplotype analysis revealed nominally statistically significant associations with prostate cancer risk in each of the four haplotype blocks: haplotype 1B (OR = 1.21, 95% CI = 1.04 to 1.40), haplotype 2C (OR = 1.24, 95% CI = 1.06 to 1.44), haplotype 3C (OR = 1.25, 95% CI = 1.03 to 1.50), and haplotype 4D (OR = 1.19, 95% CI = 1.02 to 1.39). Two SNPs-rs7978742 (P-trend =.002) and rs7965399 (P-trend =.002)-were perfectly correlated (correlation coefficient = 1.0) with one another and also associated with prostate cancer risk. These two SNPs were strong proxies for haplotypes 1B, 2C, 3C, and 4D and could account for the haplotype findings. Permutation testing revealed that a similarly strong result would be observed by chance only 5.6% of the time. Conclusion: Inherited variation in IGF1 may play a role in the risk of prostate cancer.
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收藏
页码:123 / 134
页数:12
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