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Dive into the research topics where Fredrick R. Schumacher is active.

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Featured researches published by Fredrick R. Schumacher.


Nature Genetics | 2007

Genome-wide association study of prostate cancer identifies a second risk locus at 8q24.

Meredith Yeager; Nick Orr; Richard B. Hayes; Kevin B. Jacobs; Peter Kraft; Sholom Wacholder; Mark J Minichiello; Paul Fearnhead; Kai Yu; Nilanjan Chatterjee; Zhaoming Wang; Robert Welch; Brian Staats; Eugenia E. Calle; Heather Spencer Feigelson; Michael J. Thun; Carmen Rodriguez; Demetrius Albanes; Jarmo Virtamo; Stephanie J. Weinstein; Fredrick R. Schumacher; Edward Giovannucci; Walter C. Willett; Geraldine Cancel-Tassin; Olivier Cussenot; Antoine Valeri; Gerald L. Andriole; Edward P. Gelmann; Margaret A. Tucker; Daniela S. Gerhard

Recently, common variants on human chromosome 8q24 were found to be associated with prostate cancer risk. While conducting a genome-wide association study in the Cancer Genetic Markers of Susceptibility project with 550,000 SNPs in a nested case-control study (1,172 cases and 1,157 controls of European origin), we identified a new association at 8q24 with an independent effect on prostate cancer susceptibility. The most significant signal is 70 kb centromeric to the previously reported SNP, rs1447295, but shows little evidence of linkage disequilibrium with it. A combined analysis with four additional studies (total: 4,296 cases and 4,299 controls) confirms association with prostate cancer for rs6983267 in the centromeric locus (P = 9.42 × 10−13; heterozygote odds ratio (OR): 1.26, 95% confidence interval (c.i.): 1.13–1.41; homozygote OR: 1.58, 95% c.i.: 1.40–1.78). Each SNP remained significant in a joint analysis after adjusting for the other (rs1447295 P = 1.41 × 10−11; rs6983267 P = 6.62 × 10−10). These observations, combined with compelling evidence for a recombination hotspot between the two markers, indicate the presence of at least two independent loci within 8q24 that contribute to prostate cancer in men of European ancestry. We estimate that the population attributable risk of the new locus, marked by rs6983267, is higher than the locus marked by rs1447295 (21% versus 9%).


Nature Genetics | 2008

Multiple loci identified in a genome-wide association study of prostate cancer

Gilles Thomas; Kevin B. Jacobs; Meredith Yeager; Peter Kraft; Sholom Wacholder; Nick Orr; Kai Yu; Nilanjan Chatterjee; Robert Welch; Amy Hutchinson; Andrew Crenshaw; Geraldine Cancel-Tassin; Brian Staats; Zhaoming Wang; Jesus Gonzalez-Bosquet; Jun Fang; Xiang Deng; Sonja I. Berndt; Eugenia E. Calle; Heather Spencer Feigelson; Michael J. Thun; Carmen Rodriguez; Demetrius Albanes; Jarmo Virtamo; Stephanie J. Weinstein; Fredrick R. Schumacher; Edward Giovannucci; Walter C. Willett; Olivier Cussenot; Antoine Valeri

We followed our initial genome-wide association study (GWAS) of 527,869 SNPs on 1,172 individuals with prostate cancer and 1,157 controls of European origin—nested in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial prospective study—by testing 26,958 SNPs in four independent studies (total of 3,941 cases and 3,964 controls). In the combined joint analysis, we confirmed three previously reported loci (two independent SNPs at 8q24 and one in HNF1B (formerly known as TCF2 on 17q); P < 10−10). In addition, loci on chromosomes 7, 10 (two loci) and 11 were highly significant (between P < 7.31 × 10−13 and P < 2.14 × 10−6). Loci on chromosome 10 include MSMB, which encodes β-microseminoprotein, a primary constituent of semen and a proposed prostate cancer biomarker, and CTBP2, a gene with antiapoptotic activity; the locus on chromosome 7 is at JAZF1, a transcriptional repressor that is fused by chromosome translocation to SUZ12 in endometrial cancer. Of the nine loci that showed highly suggestive associations (P < 2.5 × 10−5), four best fit a recessive model and included candidate susceptibility genes: CPNE3, IL16 and CDH13. Our findings point to multiple loci with moderate effects associated with susceptibility to prostate cancer that, taken together, in the future may predict high risk in select individuals.


Nature Genetics | 2008

Identification of ten loci associated with height highlights new biological pathways in human growth

Guillaume Lettre; Anne U. Jackson; Christian Gieger; Fredrick R. Schumacher; Sonja I. Berndt; Serena Sanna; Susana Eyheramendy; Benjamin F. Voight; Johannah L. Butler; Candace Guiducci; Thomas Illig; Rachel Hackett; Iris M. Heid; Kevin B. Jacobs; Valeriya Lyssenko; Manuela Uda; Michael Boehnke; Stephen J. Chanock; Leif Groop; Frank B. Hu; Bo Isomaa; Peter Kraft; Leena Peltonen; Veikko Salomaa; David Schlessinger; David J. Hunter; Richard B. Hayes; Gonçalo R. Abecasis; H.-Erich Wichmann; Karen L. Mohlke

Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet-undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in >10,000 subjects. Ten newly identified and two previously reported loci were strongly associated with variation in height (P values from 4 × 10−7 to 8 × 10−22). Together, these 12 loci account for ∼2% of the population variation in height. Individuals with ≤8 height-increasing alleles and ≥16 height-increasing alleles differ in height by ∼3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways (let-7 targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biological regulation of human height and of the genetic architecture of this classical complex trait.


Nature Genetics | 2009

Identification of a new prostate cancer susceptibility locus on chromosome 8q24.

Meredith Yeager; Nilanjan Chatterjee; Julia Ciampa; Kevin B. Jacobs; Jesus Gonzalez-Bosquet; Richard B. Hayes; Peter Kraft; Sholom Wacholder; Nick Orr; Sonja I. Berndt; Kai Yu; Amy Hutchinson; Zhaoming Wang; Laufey Amundadottir; Heather Spencer Feigelson; Michael J. Thun; W. Ryan Diver; Demetrius Albanes; Jarmo Virtamo; Stephanie J. Weinstein; Fredrick R. Schumacher; Geraldine Cancel-Tassin; Olivier Cussenot; Antoine Valeri; Gerald L. Andriole; E. David Crawford; Christopher A. Haiman; Brian E. Henderson; Laurence N. Kolonel; Loic Le Marchand

We report a genome-wide association study in 10,286 cases and 9,135 controls of European ancestry in the Cancer Genetic Markers of Susceptibility (CGEMS) initiative. We identify a new association with prostate cancer risk on chromosome 8q24 (rs620861, P = 1.3 × 10−10, heterozygote OR = 1.17, 95% CI 1.10–1.24; homozygote OR = 1.33, 95% CI 1.21–1.45). This defines a new locus associated with prostate cancer susceptibility on 8q24.


Nature Genetics | 2012

Common variation near CDKN1A , POLD3 and SHROOM2 influences colorectal cancer risk

Malcolm G. Dunlop; Sara E. Dobbins; Susan M. Farrington; Angela Jones; Claire Palles; Nicola Whiffin; Albert Tenesa; Sarah L. Spain; Peter Broderick; Li-Yin Ooi; Enric Domingo; Claire Smillie; Marc Henrion; Matthew Frampton; Lynn Martin; Graeme Grimes; Maggie Gorman; Colin A. Semple; Yusanne P Ma; Ella Barclay; James Prendergast; Jean-Baptiste Cazier; Bianca Olver; Steven Penegar; Steven Lubbe; Ian Chander; Luis Carvajal-Carmona; Stephane Ballereau; Amy Lloyd; Jayaram Vijayakrishnan

We performed a meta-analysis of five genome-wide association studies to identify common variants influencing colorectal cancer (CRC) risk comprising 8,682 cases and 9,649 controls. Replication analysis was performed in case-control sets totaling 21,096 cases and 19,555 controls. We identified three new CRC risk loci at 6p21 (rs1321311, near CDKN1A; P = 1.14 × 10−10), 11q13.4 (rs3824999, intronic to POLD3; P = 3.65 × 10−10) and Xp22.2 (rs5934683, near SHROOM2; P = 7.30 × 10−10) This brings the number of independent loci associated with CRC risk to 20 and provides further insight into the genetic architecture of inherited susceptibility to CRC.


Cancer Research | 2007

A common 8q24 variant in prostate and breast cancer from a large nested case-control study.

Fredrick R. Schumacher; Heather Spencer Feigelson; David G. Cox; Christopher A. Haiman; Demetrius Albanes; Julie E. Buring; Eugenia E. Calle; Stephen J. Chanock; Graham A. Colditz; W. Ryan Diver; Alison M. Dunning; Matthew L. Freedman; John Michael Gaziano; Edward Giovannucci; Susan E. Hankinson; Richard B. Hayes; Brian E. Henderson; Robert N. Hoover; Rudolf Kaaks; Timothy J. Key; Laurence N. Kolonel; Peter Kraft; Loic Le Marchand; Jing Ma; Malcolm C. Pike; Elio Riboli; Meir J. Stampfer; Daniel O. Stram; Gilles Thomas; Michael J. Thun

Two recent studies independently identified polymorphisms in the 8q24 region, including a single nucleotide polymorphism (rs1447295), strongly associated with prostate cancer risk. Here, we replicate the overall association in a large nested case-control study from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium using 6,637 prostate cancer cases and 7,361 matched controls. We also examine whether this polymorphism is associated with breast cancer among 2,604 Caucasian breast cancer cases and 3,118 matched controls. The rs1447295 marker was strongly associated with prostate cancer among Caucasians (P = 1.23 x 10(-13)). When we exclude the Multiethnic Cohort samples, previously reported by Freedman et al., the association remains highly significant (P = 8.64 x 10(-13)). Compared with wild-type homozygotes, carriers with one copy of the minor allele had an OR(AC) = 1.34 (99% confidence intervals, 1.19-1.50) and carriers with two copies of the minor allele had an OR(AA) = 1.86 (99% confidence intervals, 1.30-2.67). Among African Americans, the genotype association was statistically significant in men diagnosed with prostate cancer at an early age (P = 0.011) and nonsignificant for those diagnosed at a later age (P = 0.924). This difference in risk by age at diagnosis was not present among Caucasians. We found no statistically significant difference in risk when tumors were classified by Gleason score, stage, or mortality. We found no association between rs1447295 and breast cancer risk (P = 0.590). Although the gene responsible has yet to be identified, the validation of this marker in this large sample of prostate cancer cases leaves little room for the possibility of a false-positive result.


Cancer Research | 2009

Evaluation of the 8q24 Prostate Cancer Risk Locus and MYC Expression

Mark Pomerantz; Christine A. Beckwith; Meredith M. Regan; Stacia K. Wyman; Gyorgy Petrovics; Yongmei Chen; Dorota Hawksworth; Fredrick R. Schumacher; Lorelei A. Mucci; Kathryn L. Penney; Meir J. Stampfer; Jennifer A. Chan; Kristin Ardlie; Brian R. Fritz; Rachael K. Parkin; Daniel W. Lin; Michelle L. Dyke; Paula Herman; Steve Lee; William Oh; Philip W. Kantoff; Muneesh Tewari; David G. McLeod; Shiv Srivastava; Matthew L. Freedman

Polymorphisms at 8q24 are robustly associated with prostate cancer risk. The risk variants are located in nonprotein coding regions and their mechanism has not been fully elucidated. To further dissect the function of this locus, we tested two hypotheses: (a) unannotated microRNAs (miRNA) are transcribed in the region, and (b) this region is a cis-acting enhancer. Using next generation sequencing, 8q24 risk regions were interrogated for known and novel miRNAs in histologically normal radical prostatectomy tissue. We also evaluated the association between the risk variants and transcript levels of multiple genes, focusing on the proto-oncogene, MYC. RNA expression was measured in histologically normal and tumor tissue from 280 prostatectomy specimens (from 234 European American and 46 African American patients), and paired germline DNA from each individual was genotyped for six 8q24 risk single nucleotide polymorphisms. No evidence was found for significant miRNA transcription within 8q24 prostate cancer risk loci. Likewise, no convincing association between RNA expression and risk allele status was detected in either histologically normal or tumor tissue. To our knowledge, this is one of the first and largest studies to directly assess miRNA in this region and to systematically measure MYC expression levels in prostate tissue in relation to inherited risk variants. These data will help to direct the future study of this risk locus.


Proceedings of the National Academy of Sciences of the United States of America | 2009

Fine mapping and functional analysis of a common variant in MSMB on chromosome 10q11.2 associated with prostate cancer susceptibility

Hong Lou; Meredith Yeager; Hongchuan Li; Jesus Gonzalez Bosquet; Richard B. Hayes; Nick Orr; Kai Yu; Amy Hutchinson; Kevin B. Jacobs; Peter Kraft; Sholom Wacholder; Nilanjan Chatterjee; Heather Spencer Feigelson; Michael J. Thun; W. Ryan Diver; Demetrius Albanes; Jarmo Virtamo; Stephanie J. Weinstein; Jing Ma; J. Michael Gaziano; Meir J. Stampfer; Fredrick R. Schumacher; Edward Giovannucci; Geraldine Cancel-Tassin; Olivier Cussenot; Antoine Valeri; Gerald L. Andriole; E. David Crawford; Stephen K. Anderson; Margaret A. Tucker

Two recent genome-wide association studies have independently identified a prostate cancer susceptibility locus on chromosome 10q11.2. The most significant single-nucleotide polymorphism (SNP) marker reported, rs10993994, is 57 bp centromeric of the first exon of the MSMB gene, which encodes β-microseminoprotein (prostatic secretory protein 94). In this study, a fine-mapping analysis using HapMap SNPs was conducted across a ≈65-kb region (chr10: 51168330–51234020) flanking rs10993994 with 13 tag SNPs in 6,118 prostate cancer cases and 6,105 controls of European origin from the Cancer Genetic Markers of Susceptibility (CGEMS) project. rs10993994 remained the most strongly associated marker with prostate cancer risk [P = 8.8 × 10−18; heterozygous odds ratio (OR) = 1.20, 95% confidence interval (CI): 1.11–1.30; homozygous OR = 1.64, 95% CI: 1.47–1.86 for the adjusted genotype test with 2 df]. In follow-up functional analyses, the T variant of rs10993994 significantly affected expression of in vitro luciferase reporter constructs. In electrophoretic mobility shift assays, the C allele of rs10993994 preferentially binds to the CREB transcription factor. Analysis of tumor cell lines with a CC or CT genotype revealed a high level of MSMB gene expression compared with cell lines with a TT genotype. These findings were specific to the alleles of rs10993994 and were not observed for other SNPs determined by sequence analysis of the proximal promoter. Together, our mapping study and functional analyses implicate regulation of expression of MSMB as a plausible mechanism accounting for the association identified at this locus. Further investigation is warranted to determine whether rs10993994 alone or in combination with additional variants contributes to prostate cancer susceptibility.


Cancer Epidemiology, Biomarkers & Prevention | 2007

CYP17 Genetic Variation and Risk of Breast and Prostate Cancer from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3)

Veronica Wendy Setiawan; Fredrick R. Schumacher; Christopher A. Haiman; Daniel O. Stram; Demetrius Albanes; David Altshuler; Göran Berglund; Julie E. Buring; Eugenia E. Calle; Françoise Clavel-Chapelon; David G. Cox; J. Michael Gaziano; Susan E. Hankinson; Richard B. Hayes; Brian E. Henderson; Joel N. Hirschhorn; Robert N. Hoover; David J. Hunter; Rudolf Kaaks; Laurence N. Kolonel; Peter Kraft; Jing Ma; Loic Le Marchand; Jakob Linseisen; Eiliv Lund; Carmen Navarro; Kim Overvad; Domenico Palli; Petra H.M. Peeters; Malcolm C. Pike

CYP17 encodes cytochrome p450c17α, which mediates activities essential for the production of sex steroids. Common germ line variation in the CYP17 gene has been related to inconsistent results in breast and prostate cancer, with most studies focusing on the nonsynonymous single nucleotide polymorphism (SNP) T27C (rs743572). We comprehensively characterized variation in CYP17 by direct sequencing of exons followed by dense genotyping across the 58 kb region around CYP17 in five racial/ethnic populations. Two blocks of strong linkage disequilibrium were identified and nine haplotype-tagging SNPs, including T27C, were chosen to predict common haplotypes (Rh2 ≥ 0.85). These haplotype-tagging SNPs were genotyped in 8,138 prostate cancer cases and 9,033 controls, and 5,333 breast cancer cases and 7,069 controls from the Breast and Prostate Cancer Cohort Consortium. We observed borderline significant associations with prostate cancer for rs2486758 [TC versus TT, odds ratios (OR), 1.07; 95% confidence intervals (95% CI), 1.00-1.14; CC versus TT, OR, 1.09; 95% CI, 0.95-1.26; P trend = 0.04] and rs6892 (AG versus AA, OR, 1.08; 95% CI, 1.00-1.15; GG versus AA, OR, 1.11; 95% CI, 0.95-1.30; P trend = 0.03). We also observed marginally significant associations with breast cancer for rs4919687 (GA versus GG, OR, 1.04; 95% CI, 0.97-1.12, AA versus GG, OR, 1.17; 95% CI, 1.03-1.34; P trend = 0.03) and rs4919682 (CT versus CC, OR, 1.04; 95% CI, 0.97-1.12; TT versus CC, OR, 1.16; 95% CI, 1.01-1.33; P trend = 0.04). Common variation at CYP17 was not associated with circulating sex steroid hormones in men or postmenopausal women. Our findings do not support the hypothesis that common germ line variation in CYP17 makes a substantial contribution to postmenopausal breast or prostate cancer susceptibility. (Cancer Epidemiol Biomarkers Prev 2007;16(11):2237–46)


Cancer Epidemiology, Biomarkers & Prevention | 2006

Vitamin D receptor genotypes/haplotypes and prostate cancer risk

Mine S. Cicek; Xin Liu; Fredrick R. Schumacher; Graham Casey; John S. Witte

The vitamin D receptor (VDR) gene has been associated with prostate cancer, although previous results are somewhat equivocal. To further study this, we did a family-based case-control study (N = 918) of the association between prostate cancer and six common VDR variants: Cdx2, FokI, BsmI, ApaI, TaqI, and the poly-A microsatellite. Looking at each variant alone, only FokI and ApaI were associated with disease. The FokI FF genotype was inversely associated with prostate cancer among men with less advanced disease (i.e., Gleason score <7 and tumor stage <T2c), where the odds ratio OR was 0.56 [95% confidence interval (95% CI), 0.31-1.01; P = 0.05]. ApaI, carrying one or two copies of the A allele, exhibited a weak inverse association with disease (OR, 0.64; 95% CI, 0.39-1.03; P = 0.06); this association was strengthened in Caucasian men with more advanced disease (OR, 0.44; 95% CI, 0.21-0.93; P = 0.03). We observed inverse associations between disease and the four-locus FBAt haplotype (OR, 0.48; 95% CI, 0.30-0.76; P = 0.002) and the fbaT haplotype (OR, 0.60; 95% CI, 0.38-0.95; P = 0.03; i.e., in comparison with the FbaT haplotype). These were stronger among men with more advanced disease: for FBAt, the OR was 0.31 (95% CI, 0.16-0.61; P = 0.0008); for fbaT, the OR was 0.32 (95% CI, 0.16-0.64; P = 0.001). These observations support a role for VDR variants in prostate cancer risk but suggest that any potential causal variant(s) may reside on the haplotypes reported here. This would help explain the somewhat equivocal results for VDR genotype-level associations with prostate cancer. (Cancer Epidemiol Biomarkers Prev 2006;15(12):2549–52)

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Demetrius Albanes

National Institutes of Health

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Christopher A. Haiman

University of Southern California

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Kevin B. Jacobs

Science Applications International Corporation

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Brian E. Henderson

University of Southern California

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Kai Yu

National Institutes of Health

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