Fine mapping of a region of chromosome 11q13 reveals multiple independent loci associated with risk of prostate cancer

Genome-wide association studies have identified prostate cancer susceptibility alleles on chromosome 11q13. As part of the Cancer Genetic Markers of Susceptibility (CGEMS) Initiative, the region flanking the most significant marker, rs10896449, was fine mapped in 10 272 cases and 9123 controls of European origin (10 studies) using 120 common single nucleotide polymorphisms (SNPs) selected by a two-staged tagging strategy using HapMap SNPs. Single-locus analysis identified 18 SNPs below genome-wide significance (P< 10(-8)) with rs10896449 the most significant (P= 7.94 × 10(-19)). Multi-locus models that included significant SNPs sequentially identified a second association at rs12793759 [odds ratio (OR) = 1.14, P= 4.76 × 10(-5), adjusted P= 0.004] that is independent of rs10896449 and remained significant after adjustment for multiple testing within the region. rs10896438, a proxy of previously reported rs12418451 (r(2)= 0.96), independent of both rs10896449 and rs12793759 was detected (OR = 1.07, P= 5.92 × 10(-3), adjusted P= 0.054). Our observation of a recombination hotspot that separates rs10896438 from rs10896449 and rs12793759, and low linkage disequilibrium (rs10896449-rs12793759, r(2)= 0.17; rs10896449-rs10896438, r(2)= 0.10; rs12793759-rs10896438, r(2)= 0.12) corroborate our finding of three independent signals. By analysis of tagged SNPs across ～123 kb using next generation sequencing of 63 controls of European origin, 1000 Genome and HapMap data, we observed multiple surrogates for the three independent signals marked by rs10896449 (n= 31), rs10896438 (n= 24) and rs12793759 (n= 8). Our results indicate that a complex architecture underlying the common variants contributing to prostate cancer risk at 11q13. We estimate that at least 63 common variants should be considered in future studies designed to investigate the biological basis of the multiple association signals.     

Large-scale fine mapping of the HNF1B locus and prostate cancer risk

Previous genome-wide association studies have identified two independent variants in HNF1B as susceptibility loci for prostate cancer risk. To fine-map common genetic variation in this region, we genotyped 79 single nucleotide polymorphisms (SNPs) in the 17q12 region harboring HNF1B in 10 272 prostate cancer cases and 9123 controls of European ancestry from 10 case-control studies as part of the Cancer Genetic Markers of Susceptibility (CGEMS) initiative. Ten SNPs were significantly related to prostate cancer risk at a genome-wide significance level of P < 5 × 10(-8) with the most significant association with rs4430796 (P = 1.62 × 10(-24)). However, risk within this first locus was not entirely explained by rs4430796. Although modestly correlated (r(2)= 0.64), rs7405696 was also associated with risk (P = 9.35 × 10(-23)) even after adjustment for rs4430769 (P = 0.007). As expected, rs11649743 was related to prostate cancer risk (P = 3.54 × 10(-8)); however, the association within this second locus was stronger for rs4794758 (P = 4.95 × 10(-10)), which explained all of the risk observed with rs11649743 when both SNPs were included in the same model (P = 0.32 for rs11649743; P = 0.002 for rs4794758). Sequential conditional analyses indicated that five SNPs (rs4430796, rs7405696, rs4794758, rs1016990 and rs3094509) together comprise the best model for risk in this region. This study demonstrates a complex relationship between variants in the HNF1B region and prostate cancer risk. Further studies are needed to investigate the biological basis of the association of variants in 17q12 with prostate cancer.     

Grading the severity of cervical neoplasia based on combined histopathology,cytopathology, and HPV genotype distribution among 1,700 women referred to colposcopy in Oklahoma

Diagnosis and treatment of cervical cancer precursors rely on colposcopic biopsy, which is sometimes hampered by incorrect biopsy placement and the unclear prognostic value of poorly reproducible diagnoses such as cervical intraepithelial neoplasia (CIN) Grade 1 and 2. Searching for discrete disease categories that incorporate the value of cytology and that reflect the causal role of particular HPV types, we analyzed histology, cytology and HPV genotype distributions in the Study to Understand Cervical Cancer Endpoints and Early Determinants (SUCCEED). This cross‐sectional study comprises ～1,700 women referred to colposcopy or treatment for the spectrum of cervical disease, including 439 women with <CIN1, 429 CIN1, 322 CIN2, 297 CIN3 and 107 with cancer. Using hierarchical clustering of histology‐cytology groups based on HPV genotype distributions, we could plainly distinguish in this referral population 5 increasingly severe diagnostic groups of HPV‐positive women: (i) HPV‐positive women with <CIN2 histology and normal cytology, (ii) HPV positive women with <CIN2 histology and ASC or LSIL cytology; (iii) CIN2, including histologic CIN2 and HSIL cytology with any histology <CIN2; (iv) CIN3; and (v) invasive cervical cancer. The grouping of women with HSIL cytology, but without histological abnormalities to women with CIN2 suggests that in these cases the worst lesion was missed during colposcopy‐biopsy. We are now using these sharpened diagnostic categories to search for novel biomarkers predicting the risk of progression and invasion. © 2008 Wiley‐Liss, Inc.