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Torgerson DG, Capurso D, Ampleford EJ, Li X, Moore WC, Gignoux CR, Hu D, Eng C, Mathias RA, Busse WW, Castro M, Erzurum SC, Fitzpatrick AM, Gaston B, Israel E, Jarjour NN, Teague WG, Wenzel SE, Rodríguez-Santana JR, Rodríguez-Cintrón W, Avila PC, Ford JG, Barnes KC, Burchard EG, Howard TD, Bleecker ER, Meyers DA, Cox NJ, Ober C, Nicolae DL. Genome-wide ancestry association testing identifies a common European variant on 6q14.1 as a risk factor for asthma in African American subjects. J Allergy Clin Immunol 2012; 130:622-629.e9. [PMID: 22607992 DOI: 10.1016/j.jaci.2012.03.045] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2011] [Revised: 02/22/2012] [Accepted: 03/06/2012] [Indexed: 12/14/2022]
Abstract
BACKGROUND Genetic variants that contribute to asthma susceptibility might be present at varying frequencies in different populations, which is an important consideration and advantage for performing genetic association studies in admixed populations. OBJECTIVE We sought to identify asthma-associated loci in African American subjects. METHODS We compared local African and European ancestry estimated from dense single nucleotide polymorphism genotype data in African American adults with asthma and nonasthmatic control subjects. Allelic tests of association were performed within the candidate regions identified, correcting for local European admixture. RESULTS We identified a significant ancestry association peak on chromosome 6q. Allelic tests for association within this region identified a single nucleotide polymorphism (rs1361549) on 6q14.1 that was associated with asthma exclusively in African American subjects with local European admixture (odds ratio, 2.2). The risk allele is common in Europe (42% in the HapMap population of Utah residents with Northern and Western European ancestry from the Centre d'Etude du Polymorphisme Humain collection) but absent in West Africa (0% in the HapMap population of Yorubans in Ibadan, Nigeria), suggesting the allele is present in African American subjects because of recent European admixture. We replicated our findings in Puerto Rican subjects and similarly found that the signal of association is largely specific to subjects who are heterozygous for African and non-African ancestry at 6q14.1. However, we found no evidence for association in European American or Puerto Rican subjects in the absence of local African ancestry, suggesting that the association with asthma at rs1361549 is due to an environmental or genetic interaction. CONCLUSION We identified a novel asthma-associated locus that is relevant to admixed populations with African ancestry and highlight the importance of considering local ancestry in genetic association studies of admixed populations.
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Affiliation(s)
- Dara G Torgerson
- Department of Human Genetics, University of Chicago, Chicago, Il 60637, USA
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202
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Joung JY, Park S, Yoon H, Lee SJ, Park WS, Seo HK, Chung J, Kim SY, Hong SH, Lee YS, Kim J, Lee KH. Association of common variations of 8q24 with the risk of prostate cancer in Koreans and a review of the Asian population. BJU Int 2012; 110:E318-25. [PMID: 22583965 DOI: 10.1111/j.1464-410x.2012.11211.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
UNLABELLED What's known on the subject? and What does the study add? The association between subjects with the genetic variation of 8q24 and the risk of development of prostate cancer in Korean men was found. As a result of haplotype analysis, [AGC] and [CTA] carriers showed a significant association with prostate cancer risk. This is clinically meaningful as an initial study on genetic susceptibility to prostate cancer in Korean men and the first report of 8q24 haplotypes in an Asian population. OBJECTIVE To determine the association between genetic variation of 8q24 with prostate cancer risk in Korean men. PATIENTS AND METHODS With a hospital-based case-control study design, we enrolled 194 patients with prostate cancer and 169 healthy controls from visitors for cancer screening. DNA samples were obtained from peripheral blood for the analysis of single nucleotide polymorphisms (SNPs). Three SNPs of 8q24, including rs16901979, rs6983267, and rs1447295, were genotyped on cases and controls. RESULTS The subjects with the rs1447295 CA or AA genotype had a higher risk of prostate cancer than the CC genotype. The A allele at SNP rs1447295 was associated with the incidence of prostate cancer. The rs16901979 CA genotype carriers had a higher risk of prostate cancer than the CC genotype. Individuals with the [AGC] and [CTA] haplotypes had a significantly increased risk of prostate cancer compared with the [CTC] haplotype ([AGC] with adjusted odds ratio [OR] 1.79; 95% confidence interval [CI] 1.09-2.96; P = 0.022; [CTA] with adjusted OR 5.17; 95% CI 2.40-11.15; P < 0.001). CONCLUSIONS The genetic variation of 8q24 is associated with the risk of prostate cancer in Korean men. Individuals with the [AGC] and [CTA] haplotypes had a significant association with prostate cancer risk.
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Affiliation(s)
- Jae Y Joung
- Center for Prostate Cancer, National Cancer Center, Goyang, Korea
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203
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Chan JY, Li H, Singh O, Mahajan A, Ramasamy S, Subramaniyan K, Kanesvaran R, Sim HG, Chong TW, Teo YY, Chia SE, Tan MH, Chowbay B. 8q24 and 17q prostate cancer susceptibility loci in a multiethnic Asian cohort. Urol Oncol 2012; 31:1553-60. [PMID: 22561070 DOI: 10.1016/j.urolonc.2012.02.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2011] [Revised: 01/18/2012] [Accepted: 02/14/2012] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Recently, several genome-wide association studies have demonstrated a cumulative association of 5 polymorphic variants in chromosomes 8q24 and 17q with prostate cancer (CaP) risk in Caucasians, particularly those harboring aggressive clinicopathologic characteristics. The purpose of this study was to evaluate the influence of these variants on CaP susceptibility in Singaporean Asian men. MATERIALS AND METHODS We performed a case-control study in 289 Chinese CaP patients and 412 healthy subjects (144 Chinese, 134 Malays, and 134 Indians), and examined the association of the 5 single nucleotide polymorphisms (SNPs) with CaP. RESULTS In the healthy subjects, rs16901979 A-allele frequency was highest amongst Chinese (0.32) compared with Malays (0.13; P < 0.0001) or Indians (0.09; P < 0.0001); rs6983267 G-allele was highest in Indians (0.51) compared with Chinese (0.42; P = 0.041) or Malays (0.43; P = 0.077); whereas rs1859962 G-allele frequency was highest amongst Indians (0.56) compared with Chinese (0.40; P = 0.0002) or Malays (0.38; P < 0.0001). Individuals with the rs4430796 TT genotype were at increased CaP risk in the Chinese via a recessive model (odds ratios (OR) = 1.56, 95% CI = 1.04-2.33). Significant associations were observed for rs4430796 TT with Gleason scores of ≥ 7 (OR = 1.76, 95% CI = 1.14-2.73) and prostate-specific antigen (PSA) levels of ≥ 10 ng/ml at diagnosis (OR = 1.63, 95% CI = 1.01-2.63), as well as for rs6983267 GG with stage 3-4 CaPs (OR = 1.91, 95% CI = 1.01-3.61). A cumulative gene interaction influence on disease risk, which approximately doubled for individuals with at least 2 susceptibility genotypes, was also identified (OR = 2.18, 95% CI = 1.10-4.32). CONCLUSIONS This exploratory analysis suggests that the 5 genetic variants previously described may contribute to prostate cancer risk in Singaporean men.
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204
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Huppi K, Pitt JJ, Wahlberg BM, Caplen NJ. The 8q24 gene desert: an oasis of non-coding transcriptional activity. Front Genet 2012; 3:69. [PMID: 22558003 PMCID: PMC3339310 DOI: 10.3389/fgene.2012.00069] [Citation(s) in RCA: 116] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2012] [Accepted: 04/10/2012] [Indexed: 01/05/2023] Open
Abstract
Understanding the functional effects of the wide-range of aberrant genetic characteristics associated with the human chromosome 8q24 region in cancer remains daunting due to the complexity of the locus. The most logical target for study remains the MYC proto-oncogene, a prominent resident of 8q24 that was first identified more than a quarter of a century ago. However, many of the amplifications, translocation breakpoints, and viral integration sites associated with 8q24 are often found throughout regions surrounding large expanses of the MYC locus that include other transcripts. In addition, chr.8q24 is host to a number of single nucleotide polymorphisms associated with cancer risk. Yet, the lack of a direct correlation between cancer risk alleles and MYC expression has also raised the possibility that MYC is not always the target of these genetic associations. The 8q24 region has been described as a "gene desert" because of the paucity of functionally annotated genes located within this region. Here we review the evidence for the role of other loci within the 8q24 region, most of which are non-coding transcripts, either in concert with MYC or independent of MYC, as possible candidate gene targets in malignancy.
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Affiliation(s)
- Konrad Huppi
- Gene Silencing Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health Bethesda, MD, USA
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205
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Os’kina NA, Boyarskikh UA, Lazarev AF, Petrova VD, Ganov DI, Tonacheva OG, Lifshits GI, Filipenko ML. Association of chromosome 8q24 variants with prostate cancer risk in the Siberian region of Russia and meta-analysis. Mol Biol 2012. [DOI: 10.1134/s0026893312020124] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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206
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Abstract
During the 1990s and the first several years of this century, microsatellites or short tandem repeats were the workhorse genetic markers for hypothesis-independent studies in human genetics, facilitating genome-wide linkage studies and allelic imbalance studies. However, the rise of higher throughput and cost-effective single-nucleotide polymorphism (SNP) platforms led to the era of the SNP for genome scans. Nevertheless, it is important to note that microsatellites remain highly informative and useful measures of genomic variation for linkage and association studies. Their continued advantage in complementing SNPs lies in their greater allelic diversity than biallelic SNPs as well as in their population history, in which single-step expansion or contraction of the tandem repeat on the background of ancestral SNP haplotypes can break up common haplotypes, leading to greater haplotype diversity within the linkage disequilibrium block of interest. In fact, microsatellites have starred in association studies leading to widely replicated discoveries of type 2 diabetes (TCF7L2) and prostate cancer genes (the 8q21 region). At the end of the day, it will be important to catalog all variation, including SNPs, microsatellites, copy number variations, and polymorphic inversions in human genetic studies. This article describes the utilities of microsatellites and experimental approaches in their use.
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207
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Qin H, Zhu X. Power comparison of admixture mapping and direct association analysis in genome-wide association studies. Genet Epidemiol 2012; 36:235-43. [PMID: 22460597 DOI: 10.1002/gepi.21616] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2011] [Revised: 12/14/2011] [Accepted: 01/02/2012] [Indexed: 11/06/2022]
Abstract
When dense markers are available, one can interrogate almost every common variant across the genome via imputation and single nucleotide polymorphism (SNP) test, which has become a routine in current genome-wide association studies (GWASs). As a complement, admixture mapping exploits the long-range linkage disequilibrium (LD) generated by admixture between genetically distinct ancestral populations. It is then questionable whether admixture mapping analysis is still necessary in detecting the disease associated variants in admixed populations. We argue that admixture mapping is able to reduce the burden of massive comparisons in GWASs; it therefore can be a powerful tool to locate the disease variants with substantial allele frequency differences between ancestral populations. In this report we studied a two-stage approach, where candidate regions are defined by conducting admixture mapping at stage 1, and single SNP association tests are followed at stage 2 within the candidate regions defined at stage 1. We first established the genome-wide significance levels corresponding to the criteria to define the candidate regions at stage 1 by simulations. We next compared the power of the two-stage approach with direct association analysis. Our simulations suggest that the two-stage approach can be more powerful than the standard genome-wide association analysis when the allele frequency difference of a causal variant in ancestral populations, is larger than 0.4. Our conclusion is consistent with a theoretical prediction by Risch and Tang ([2006] Am J Hum Genet 79:S254). Surprisingly, our study also suggests that power can be improved when we use less strict criteria to define the candidate regions at stage 1.
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Affiliation(s)
- Huaizhen Qin
- Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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208
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Glinskii AB, Ma S, Ma J, Grant D, Lim CU, Guest I, Sell S, Buttyan R, Glinsky GV. Networks of intergenic long-range enhancers and snpRNAs drive castration-resistant phenotype of prostate cancer and contribute to pathogenesis of multiple common human disorders. Cell Cycle 2012; 10:3571-97. [PMID: 22067658 DOI: 10.4161/cc.10.20.17842] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The mechanistic relevance of intergenic disease-associated genetic loci (IDAGL) containing highly statistically significant disease-linked SNPs remains unknown. Here, we present experimental and clinical evidence supporting the importantance of the role of IDAGL in human diseases. A targeted RT-PCR screen coupled with sequencing of purified PCR products detects widespread transcription at multiple IDAGL and identifies 96 small noncoding trans-regulatory RNAs of ~100-300 nt in length containing SNPs (snpRNAs) associated with 21 common disorders. Multiple independent lines of experimental evidence support functionality of snpRNAs by documenting their cell type-specific expression and evolutionary conservation of sequences, genomic coordinates and biological effects. Chromatin state signatures, expression profiling experiments and luciferase reporter assays demonstrate that many IDAGL are Polycomb-regulated long-range enhancers. Expression of snpRNAs in human and mouse cells markedly affects cellular behavior and induces allele-specific clinically relevant phenotypic changes: NLRP1-locus snpRNAs rs2670660 exert regulatory effects on monocyte/macrophage transdifferentiation, induce prostate cancer (PC) susceptibility snpRNAs and transform low-malignancy hormone-dependent human PC cells into highly malignant androgen-independent PC. Q-PCR analysis and luciferase reporter assays demonstrate that snpRNA sequences represent allele-specific "decoy" targets of microRNAs that function as SNP allele-specific modifiers of microRNA expression and activity. We demonstrate that trans-acting RNA molecules facilitating resistance to androgen depletion (RAD) in vitro and castration-resistant phenotype (CRP) in vivo of PC contain intergenic 8q24-locus SNP variants (rs1447295; rs16901979; rs6983267) that were recently linked with increased risk of PC. Q-PCR analysis of clinical samples reveals markedly increased and highly concordant (r = 0.896; p < 0.0001) snpRNA expression levels in tumor tissues compared with the adjacent normal prostate [122-fold and 45-fold in Gleason 7 tumors (p = 0.03); 370-fold and 127-fold in Gleason 8 tumors (p = 0.0001) for NLRP1-locus and 8q24-locus snpRNAs, respectively]. Our experiments indicate that RAD and CR phenotype of human PC cells can be triggered by ncRNA molecules transcribed from the NLRP1-locus intergenic enhancer at 17p13 and by downstream activation of the 8q24-locus snpRNAs. Our results define the IDAGL at 17p13 and 8q24 as candidate regulatory loci of RAD and CR phenotypes of PC, reveal previously unknown molecular links between the innate immunity/inflammasome system and development of hormone-independent PC and identify novel molecular and genetic targets with diagnostic and therapeutic potentials, exploration of which should be highly beneficial for personalized clinical management of PC.
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Affiliation(s)
- Anna B Glinskii
- Translational and Functional Genomics Laboratory, Genlighttechnology Corporation, La Jolla, CA, USA
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209
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Cheng CY, Reich D, Haiman CA, Tandon A, Patterson N, Elizabeth S, Akylbekova EL, Brancati FL, Coresh J, Boerwinkle E, Altshuler D, Taylor HA, Henderson BE, Wilson JG, Kao WHL. African ancestry and its correlation to type 2 diabetes in African Americans: a genetic admixture analysis in three U.S. population cohorts. PLoS One 2012; 7:e32840. [PMID: 22438884 PMCID: PMC3306373 DOI: 10.1371/journal.pone.0032840] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2011] [Accepted: 01/31/2012] [Indexed: 11/18/2022] Open
Abstract
The risk of type 2 diabetes is approximately 2-fold higher in African Americans than in European Americans even after adjusting for known environmental risk factors, including socioeconomic status (SES), suggesting that genetic factors may explain some of this population difference in disease risk. However, relatively few genetic studies have examined this hypothesis in a large sample of African Americans with and without diabetes. Therefore, we performed an admixture analysis using 2,189 ancestry-informative markers in 7,021 African Americans (2,373 with type 2 diabetes and 4,648 without) from the Atherosclerosis Risk in Communities Study, the Jackson Heart Study, and the Multiethnic Cohort to 1) determine the association of type 2 diabetes and its related quantitative traits with African ancestry controlling for measures of SES and 2) identify genetic loci for type 2 diabetes through a genome-wide admixture mapping scan. The median percentage of African ancestry of diabetic participants was slightly greater than that of non-diabetic participants (study-adjusted difference = 1.6%, P<0.001). The odds ratio for diabetes comparing participants in the highest vs. lowest tertile of African ancestry was 1.33 (95% confidence interval 1.13-1.55), after adjustment for age, sex, study, body mass index (BMI), and SES. Admixture scans identified two potential loci for diabetes at 12p13.31 (LOD = 4.0) and 13q14.3 (Z score = 4.5, P = 6.6 × 10(-6)). In conclusion, genetic ancestry has a significant association with type 2 diabetes above and beyond its association with non-genetic risk factors for type 2 diabetes in African Americans, but no single gene with a major effect is sufficient to explain a large portion of the observed population difference in risk of diabetes. There undoubtedly is a complex interplay among specific genetic loci and non-genetic factors, which may both be associated with overall admixture, leading to the observed ethnic differences in diabetes risk.
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Affiliation(s)
- Ching-Yu Cheng
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America
- Saw Swee Hock School of Public Health, and Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Duke-NUS Graduate Medical School, Singapore, Singapore
- Singapore Eye Research Institute, Singapore, Singapore
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute of Harvard and M.I.T., Cambridge, Massachusetts, United States of America
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Arti Tandon
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute of Harvard and M.I.T., Cambridge, Massachusetts, United States of America
| | - Nick Patterson
- Program in Medical and Population Genetics, Broad Institute of Harvard and M.I.T., Cambridge, Massachusetts, United States of America
| | - Selvin Elizabeth
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Ermeg L. Akylbekova
- Jackson Heart Study Analysis Group, Jackson State University, Jackson, Mississippi, United States of America
| | - Frederick L. Brancati
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - David Altshuler
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute of Harvard and M.I.T., Cambridge, Massachusetts, United States of America
- Center for Human Genetic Research and Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Herman A. Taylor
- Jackson State University, Tougaloo College, and the University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Brian E. Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - James G. Wilson
- Department of Physiology and Biophysics, The University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - W. H. Linda Kao
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
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210
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Troutman SM, Sissung TM, Cropp CD, Venzon DJ, Spencer SD, Adesunloye BA, Huang X, Karzai FH, Price DK, Figg WD. Racial disparities in the association between variants on 8q24 and prostate cancer: a systematic review and meta-analysis. Oncologist 2012; 17:312-20. [PMID: 22382457 DOI: 10.1634/theoncologist.2011-0315] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Recent studies implicate single nucleotide polymorphisms (SNPs) within the 8q24 region as a risk factor for prostate cancer (PCa). New developments suggest that 8q24 encodes regulators of the nearby MYC gene, a known oncogene. In order to better understand the implications of SNPs in this region, we performed meta-analyses, stratified by race, of seven SNPs and one microsatellite marker previously identified as risk loci on the 8q24 region of the genome. In addition, we reviewed the literature examining the possible associations between these polymorphisms and clinicopathological features of PCa. The results of the meta-analyses indicate that rs6983267, rs1447295, rs6983561, rs7837688, rs16901979, and DG8S737 are significantly associated with a higher risk for PCa for at least one race, whereas the variants rs13254738 and rs7000448 are not. The degree of association and frequency of the causative allele varied among men of different races. Though several studies have demonstrated an association between certain 8q24 SNPs and clinicopathological features of the disease, review of this topic revealed conflicting results.
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Affiliation(s)
- Sarah M Troutman
- Molecular Pharmacology Section, National Cancer Institute, Bethesda, Maryland 20892, USA
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211
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Odedina FT, Dagne G, LaRose-Pierre M, Scrivens J, Emanuel F, Adams A, Pressey S, Odedina O. Within-group differences between native-born and foreign-born Black men on prostate cancer risk reduction and early detection practices. J Immigr Minor Health 2012; 13:996-1004. [PMID: 21547350 DOI: 10.1007/s10903-011-9471-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
To better address prostate cancer disparities, we investigated the differences among US-born, African-born, and Caribbean-born Black men on prostate cancer risk reduction and early detection behaviors. Data were collected from over 3,400 Black men in five cities in Florida. One-way analysis of variance was used to explore the ethnic variations among the three study groups. We found that there were significant differences among the three groups. The US-born Black men had the highest knowledge, were most likely to have health insurance, and consume the most meat compared to African-born, and Caribbean-born Black men. African-born Black men were most likely to use chemoprevention products and discuss prostate cancer risk-reduction and early detection with a physician. Given the significant number of foreign-born Blacks in the US, it is important to disaggregate the data of US-born and foreign-born Blacks to develop effective programs and policies to address the needs of each group.
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212
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Lange EM, Salinas CA, Zuhlke KA, Ray AM, Wang Y, Lu Y, Ho LA, Luo J, Cooney KA. Early onset prostate cancer has a significant genetic component. Prostate 2012; 72:147-56. [PMID: 21538423 PMCID: PMC3784829 DOI: 10.1002/pros.21414] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2011] [Accepted: 04/06/2011] [Indexed: 11/07/2022]
Abstract
BACKGROUND Prostate cancer (PCa) affects more than 190,000 men each year with ∼10% of men diagnosed at ≤55 years, that is, early onset (EO) PCa. Based on historical findings for other cancers, EO PCa likely reflects a stronger underlying genetic etiology. METHODS We evaluated the association between EO PCa and previously identified single nucleotide polymorphisms (SNPs) in 754 Caucasian cases from the Michigan Prostate Cancer Genetics Project (mean 49.8 years at diagnosis), 2,713 Caucasian controls from Illumina's iControlDB database and 1,163 PCa cases diagnosed at >55 years from the Cancer Genetic Markers of Susceptibility Study (CGEMS). RESULTS Significant associations existed for 13 of 14 SNPs (rs9364554 on 6q25, rs10486567 on 7p15, rs6465657 on 7q21, rs6983267 on 8q24, rs1447295 on 8q24, rs1571801 on 9q33, rs10993994 on 10q11, rs4962416 on 10q26, rs7931342 on 11q13, rs4430796 on 17q12, rs1859962 on 17q24.3, rs2735839 on 19q13, and rs5945619 on Xp11.22, but not rs2660753 on 3p12). EO PCa cases had a significantly greater cumulative number of risk alleles (mean 12.4) than iControlDB controls (mean 11.2; P = 2.1 × 10(-33)) or CGEMS cases (mean 11.9; P = 1.7 × 10(-5)). Notably, EO PCa cases had a higher frequency of the risk allele than CGEMS cases at 11 of 13 associated SNPs, with significant differences for five SNPs. EO PCa cases diagnosed at <50 (mean 12.8) also had significantly more risk alleles than those diagnosed at 50-55 years (mean 12.1; P = 0.0003). CONCLUSIONS These results demonstrate the potential for identifying PCa-associated genetic variants by focusing on the subgroup of men diagnosed with EO disease.
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Affiliation(s)
- Ethan M. Lange
- Department of Genetics, University of North Carolina, Chapel Hill NC 27599
- Department of Biostatistics, University of North Carolina, Chapel Hill NC 27599
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill NC 27599
| | - Claudia A. Salinas
- Department of Internal Medicine, University of Michigan Medical School, AnnArbor, MI 48109
| | - Kimberly A. Zuhlke
- Department of Internal Medicine, University of Michigan Medical School, AnnArbor, MI 48109
| | - Anna M. Ray
- Department of Internal Medicine, University of Michigan Medical School, AnnArbor, MI 48109
| | - Yunfei Wang
- Department of Genetics, University of North Carolina, Chapel Hill NC 27599
- Department of Biostatistics, University of North Carolina, Chapel Hill NC 27599
| | - Yurong Lu
- Department of Genetics, University of North Carolina, Chapel Hill NC 27599
| | - Lindsey A. Ho
- Department of Biostatistics, University of North Carolina, Chapel Hill NC 27599
| | - Jingchun Luo
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill NC 27599
| | - Kathleen A. Cooney
- Department of Internal Medicine, University of Michigan Medical School, AnnArbor, MI 48109
- Department of Urology, University of Michigan Medical School, AnnArbor, MI 48109
- University of Michigan Comprehensive Cancer Center, AnnArbor, MI 48109
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Peters U, Hutter CM, Hsu L, Schumacher FR, Conti DV, Carlson CS, Edlund CK, Haile RW, Gallinger S, Zanke BW, Lemire M, Rangrej J, Vijayaraghavan R, Chan AT, Hazra A, Hunter DJ, Ma J, Fuchs CS, Giovannucci EL, Kraft P, Liu Y, Chen L, Jiao S, Makar KW, Taverna D, Gruber SB, Rennert G, Moreno V, Ulrich CM, Woods MO, Green RC, Parfrey PS, Prentice RL, Kooperberg C, Jackson RD, LaCroix AZ, Caan BJ, Hayes RB, Berndt SI, Chanock SJ, Schoen RE, Chang-Claude J, Hoffmeister M, Brenner H, Frank B, Bézieau S, Küry S, Slattery ML, Hopper JL, Jenkins MA, Le Marchand L, Lindor NM, Newcomb PA, Seminara D, Hudson TJ, Duggan DJ, Potter JD, Casey G. Meta-analysis of new genome-wide association studies of colorectal cancer risk. Hum Genet 2012; 131:217-34. [PMID: 21761138 PMCID: PMC3257356 DOI: 10.1007/s00439-011-1055-0] [Citation(s) in RCA: 157] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2011] [Accepted: 06/23/2011] [Indexed: 12/28/2022]
Abstract
Colorectal cancer is the second leading cause of cancer death in developed countries. Genome-wide association studies (GWAS) have successfully identified novel susceptibility loci for colorectal cancer. To follow up on these findings, and try to identify novel colorectal cancer susceptibility loci, we present results for GWAS of colorectal cancer (2,906 cases, 3,416 controls) that have not previously published main associations. Specifically, we calculated odds ratios and 95% confidence intervals using log-additive models for each study. In order to improve our power to detect novel colorectal cancer susceptibility loci, we performed a meta-analysis combining the results across studies. We selected the most statistically significant single nucleotide polymorphisms (SNPs) for replication using ten independent studies (8,161 cases and 9,101 controls). We again used a meta-analysis to summarize results for the replication studies alone, and for a combined analysis of GWAS and replication studies. We measured ten SNPs previously identified in colorectal cancer susceptibility loci and found eight to be associated with colorectal cancer (p value range 0.02 to 1.8 × 10(-8)). When we excluded studies that have previously published on these SNPs, five SNPs remained significant at p < 0.05 in the combined analysis. No novel susceptibility loci were significant in the replication study after adjustment for multiple testing, and none reached genome-wide significance from a combined analysis of GWAS and replication. We observed marginally significant evidence for a second independent SNP in the BMP2 region at chromosomal location 20p12 (rs4813802; replication p value 0.03; combined p value 7.3 × 10(-5)). In a region on 5p33.15, which includes the coding regions of the TERT-CLPTM1L genes and has been identified in GWAS to be associated with susceptibility to at least seven other cancers, we observed a marginally significant association with rs2853668 (replication p value 0.03; combined p value 1.9 × 10(-4)). Our study suggests a complex nature of the contribution of common genetic variants to risk for colorectal cancer.
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Affiliation(s)
- Ulrike Peters
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, USA
| | - Carolyn M. Hutter
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Li Hsu
- Biostatistics and Biomathematics, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Fredrick R. Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - David V. Conti
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | | | | | - Robert W. Haile
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Steven Gallinger
- Department of Surgery, University Health Network, Toronto General Hospital, Toronto, Canada
| | - Brent W. Zanke
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | | | | | | | - Andrew T. Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, USA
- Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
| | - Aditi Hazra
- Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology, Harvard School of Public Health, Boston, USA
| | - David J. Hunter
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology, Harvard School of Public Health, Boston, USA
| | - Jing Ma
- Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
| | - Charles S. Fuchs
- Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, USA
| | - Edward L. Giovannucci
- Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
- Departments of Epidemiology and Nutrition, Harvard School of Public Health, Boston, USA
| | - Peter Kraft
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology, Harvard School of Public Health, Boston, USA
| | - Yan Liu
- Quantitative Services, Baylor Health Care System, Dallas, USA
| | - Lin Chen
- Department of Health Studies, University of Chicago, Chicago, USA
| | - Shuo Jiao
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Karen W. Makar
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Darin Taverna
- Translational Genomics Research Institute, Phoenix, USA
| | - Stephen B. Gruber
- Department of Internal Medicine, University of Michigan, Ann Arbor, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, CarmelMedical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Victor Moreno
- Biostatistics and Bioinformatics Unit, Catalan Institute of Oncology-IDIBELL, Barcelona, Spain
| | - Cornelia M. Ulrich
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, USA
- Division of Preventive Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Michael O. Woods
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Canada
| | - Roger C. Green
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Canada
| | - Patrick S. Parfrey
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Canada
| | - Ross L. Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Rebecca D. Jackson
- Division of Endocrinology, Diabetes and Metabolism, Ohio State University, Columbus, USA
| | - Andrea Z. LaCroix
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Bette J. Caan
- Division of Research, Kaiser Permanente Medical Care Program, Oakland, USA
| | - Richard B. Hayes
- Division of Epidemiology, Department of Environmental Medicine, New YorkUniversity School of Medicine, New York City, USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, USA
| | - Robert E. Schoen
- Department of Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Bernd Frank
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Stéphane Bézieau
- Centre Hospitalier Universitaire (CHU) de Nantes, Pôle de Biologie, Service de Génétique Médicale, Nantes, France
| | - Sébastien Küry
- Centre Hospitalier Universitaire (CHU) de Nantes, Pôle de Biologie, Service de Génétique Médicale, Nantes, France
| | - Martha L. Slattery
- Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, USA
| | - John L. Hopper
- Centre for Molecular, Environmental, Genetic, and Analytical Epidemiology, University of Melbourne, Melbourne, Australia
| | - Mark A. Jenkins
- Centre for Molecular, Environmental, Genetic, and Analytical Epidemiology, University of Melbourne, Melbourne, Australia
| | - Loic Le Marchand
- Epidemiology Program, Cancer Research Center of Hawai’i, University of Hawai’i at Manoa, Honolulu, USA
| | | | - Polly A. Newcomb
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Daniela Seminara
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, USA
| | - Thomas J. Hudson
- Ontario Institute for Cancer Research, Toronto, Canada
- Departments of Medical Biophysics and Molecular Genetics, University of Toronto, Toronto, Canada
| | | | - John D. Potter
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Graham Casey
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
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214
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Fejerman L, Chen GK, Eng C, Huntsman S, Hu D, Williams A, Pasaniuc B, John EM, Via M, Gignoux C, Ingles S, Monroe KR, Kolonel LN, Torres-Mejía G, Pérez-Stable EJ, Burchard EG, Henderson BE, Haiman CA, Ziv E. Admixture mapping identifies a locus on 6q25 associated with breast cancer risk in US Latinas. Hum Mol Genet 2012; 21:1907-17. [PMID: 22228098 DOI: 10.1093/hmg/ddr617] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Among US Latinas and Mexican women, those with higher European ancestry have increased risk of breast cancer. We combined an admixture mapping and genome-wide association mapping approach to search for genomic regions that may explain this observation. Latina women with breast cancer (n= 1497) and Latina controls (n= 1272) were genotyped using Affymetrix and Illumina arrays. We inferred locus-specific genetic ancestry and compared the ancestry between cases and controls. We also performed single nucleotide polymorphism (SNP) association analyses in regions of interest. Correction for multiple-hypothesis testing was conducted using permutations (P(corrected)). We identified one region where genetic ancestry was significantly associated with breast cancer risk: 6q25 [odds ratio (OR) per Indigenous American chromosome 0.75, 95% confidence interval (CI): 0.65-0.85, P= 1.1 × 10(-5), P(corrected)= 0.02]. A second region on 11p15 showed a trend towards association (OR per Indigenous American chromosome 0.77, 95% CI: 0.68-0.87, P= 4.3 × 10(-5), P(corrected)= 0.08). In both regions, breast cancer risk decreased with higher Indigenous American ancestry in concordance with observations made on global ancestry. The peak of the 6q25 signal includes the estrogen receptor 1 (ESR1) gene and 5' region, a locus previously implicated in breast cancer. Genome-wide association analysis found that a multi-SNP model explained the admixture signal in both regions. Our results confirm that the association between genetic ancestry and breast cancer risk in US Latinas is partly due to genetic differences between populations of European and Indigenous Americans origin. Fine-mapping within the 6q25 and possibly the 11p15 loci will lead to the discovery of the biologically functional variant/s behind this association.
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Affiliation(s)
- Laura Fejerman
- Department of Medicine, Division of General Internal Medicine, Institute for Human Genetics and Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
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215
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Nobata S, Hishida A, Naito M, Asai Y, Mori A, Kuwabara M, Katase S, Okada R, Morita E, Kawai S, Hamajima N, Wakai K. Association betweenKLK3rs2735839 G/A Polymorphism and Serum PSA Levels in Japanese Men. Urol Int 2012; 89:39-44. [DOI: 10.1159/000332197] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2011] [Accepted: 08/22/2011] [Indexed: 12/14/2022]
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216
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Szulkin R, Holmberg E, Stattin P, Xu J, Zheng S, Palmgren J, Grönberg H, Wiklund F. Prostate cancer risk variants are not associated with disease progression. Prostate 2012; 72:30-9. [PMID: 21520160 DOI: 10.1002/pros.21403] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2011] [Accepted: 03/19/2011] [Indexed: 11/06/2022]
Abstract
BACKGROUND Currently used prognostic markers are limited in their ability to accurately predict disease progression among patients with localized prostate cancer. We examined 23 reported prostate cancer susceptibility variants for association with disease progression. METHODS Disease progression was explored among 4,673 Swedish patients treated for clinically localized prostate cancer between 1997 and 2002. Prostate cancer progression was defined according to primary treatment as a composed event reflecting termination of deferred treatment, biochemical recurrence, local progression, or presence of distant metastasis. Association between single variants, and all variants combined, were performed in Cox regression analysis assuming both log-additive and co-dominant genetic models. RESULTS Three of the 23 genetic variants explored were nominally associated with prostate cancer progression; rs9364554 (P = 0.041) on chromosome 6q25 and rs10896449 (P = 0.029) on chromosome 11q13 among patients treated with curative intent; and rs4054823 (P = 0.008) on chromosome 17p12 among patients on surveillance. However, none of these associations remained statistically significant after correction for multiple testing. The combined effect of all susceptibility variants was not associated with prostate cancer progression neither among patients receiving treatment with curative intent (P = 0.14) nor among patients on surveillance (P = 0.92). CONCLUSIONS We observed no evidence for an association between any of 23 established prostate cancer genetic risk variants and disease progression. Accumulating evidence suggests separate genetic components for initiation and progression of prostate cancer. Future studies systematically searching for genetic risk variants associated with prostate cancer progression and prognosis are warranted.
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Affiliation(s)
- Robert Szulkin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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217
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Sreenath TL, Dobi A, Petrovics G, Srivastava S. Oncogenic activation of ERG: A predominant mechanism in prostate cancer. J Carcinog 2011; 10:37. [PMID: 22279422 PMCID: PMC3263025 DOI: 10.4103/1477-3163.91122] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2011] [Accepted: 11/10/2011] [Indexed: 12/15/2022] Open
Abstract
Prevalent gene fusions involving regulatory sequences of the androgen receptor (AR) regulated genes (primarily TMPRSS2) and protein coding sequences of nuclear transcription factors of the ETS gene family (predominantly ERG) result in unscheduled androgen dependent ERG expression in prostate cancer (CaP).Cumulative data from a large number of studies in the past six years accentuate ERG alterations in more than half of all CaP patients in Western countries. Studies underscore that ERG functions are involved in the biology of CaP. ERG expression in normal context is selective to endothelial cells, specific hematopoetic cells and pre-cartilage cells. Normal functions of ERG are highlighted in hematopoetic stem cells. Emerging data continues to unravel molecular and cellular mechanisms by which ERG may contribute to CaP. Herein, we focus on biological and clinical aspects of ERG oncogenic alterations, potential of ERG-based stratification of CaP and the possibilities of targeting the ERG network in developing new therapeutic strategies for the disease.
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Affiliation(s)
- Taduru L Sreenath
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
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218
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Barbieri CE, Demichelis F, Rubin MA. Molecular genetics of prostate cancer: emerging appreciation of genetic complexity. Histopathology 2011; 60:187-98. [DOI: 10.1111/j.1365-2559.2011.04041.x] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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219
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220
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Role of African ancestry and gene-environment interactions in predicting preterm birth. Obstet Gynecol 2011; 118:1081-1089. [PMID: 22015876 DOI: 10.1097/aog.0b013e31823389bb] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To estimate whether African ancestry, specific gene polymorphisms, and gene-environment interactions could account for some of the unexplained preterm birth variance within African American women. METHODS We genotyped 1,509 African ancestry-informative markers, cytochrome P450 1A1 (CYP1A1), and glutathione S-transferases Theta 1 (GSTT1) variants in 1,030 self-reported African American mothers. We estimated the African ancestral proportion using the ancestry-informative markers for all 1,030 self-reported African American mothers. We examined the effect of African ancestry and CYP1A1- and GSTT1-smoking interactions on preterm birth cases as a whole and within its subgroups: very preterm birth (gestational age less than 34 weeks); and late preterm birth (gestational age greater than 34 and less than 37 weeks). We applied logistic regression and receiver operating characteristic curve analysis, separately, to evaluate whether African ancestry and CYP1A1- and GSTT1-smoking interactions could make additional contributions to preterm birth beyond epidemiologic factors. RESULTS We found significant associations of African ancestry with preterm birth (22% compared with 31%, odds ratio [OR] 1.11, 95% confidence interval [CI] 1.02-1.20) and very preterm birth (23% compared with 33%, OR 1.17, 95% CI 1.03-1.33), but not with late preterm birth (22% compared with 29%, OR 1.06, 95% CI 0.97-1.16). In addition, the receiver operating characteristic curve analysis suggested that African ancestry and CYP1A1- and GSTT1-smoking interactions made substantial contributions to very preterm birth beyond epidemiologic factors. CONCLUSION Our data underscore the importance of simultaneously considering epidemiologic factors, African ancestry, specific gene polymorphisms, and gene-environment interactions to better understand preterm birth racial disparity and to improve our ability to predict preterm birth, especially very preterm birth.
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221
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Fachal L, Gómez-Caamaño A, Celeiro-Muñoz C, Peleteiro P, Blanco A, Carballo A, Forteza J, Carracedo A, Vega A. BRCA1 mutations do not increase prostate cancer risk: results from a meta-analysis including new data. Prostate 2011; 71:1768-79. [PMID: 21520156 DOI: 10.1002/pros.21394] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2011] [Accepted: 03/16/2011] [Indexed: 12/24/2022]
Abstract
BACKGROUND Although in recent years deleterious BRCA1 mutations have been extensively studied as a prostate cancer risk factor, results are inconclusive. To assess the contribution of the BRCA1 Galician founder mutation c.211A>G in prostate cancer morbidity we conducted a case-control study. Moreover, to better elucidate whether deleterious BRCA1 mutations are involved in the development of prostate cancer, we performed a systematic review and a meta-analysis of BRCA1 studies on prostate cancer. METHODS A total of 905 unselected men diagnosed with adenocarcinoma of the prostate and a control group of 936 unrelated men without history of prostate cancer were evaluated for c.211A>G. Adjusted by age Odds ratios (OR) and 95% confidence intervals (CIs) were estimated using logistic regression. To construct the meta-analysis, genotype-based epidemiological studies reporting BRCA1 founder mutations on prostate cancer were identified by comprehensive and systematic bibliographic search. After extraction of relevant data, main and subgroup analysis by mutation were performed to assess the effect of BRCA1 on prostate cancer risk. RESULTS Four c.211A>G heterozygous individuals, one patient and three controls, were detected (OR = 0.27; 95% CI: 0.01-2.36; P = 0.28). Meta-analysis results from the integration of our data and other seven studies with BRCA1 genotyping data (5,705 prostate cancer cases and 13,218 controls) did not detect an association with prostate cancer risk (OR = 1.36; 95% CI: 0.87-2.14; P = 0.18). CONCLUSIONS Our conclusive trial demonstrates the lack of association between Galician splicing mutation c.211A>G in the BRCA1 gene and prostate cancer risk. Moreover, the result of the meta-analysis also discards the involvement of BRCA1 mutations in the development of prostate cancer.
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Affiliation(s)
- Laura Fachal
- Fundación Pública Galega de Medicina Xenómica-SERGAS. Grupo de Medicina Xenómica-USC, CIBERER, IDIS, Santiago de Compostela, Spain
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222
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Ruiz-Narvaez EA, Fraser PA, Palmer JR, Cupples LA, Reich D, Wang YA, Rioux JD, Rosenberg L. MHC region and risk of systemic lupus erythematosus in African American women. Hum Genet 2011; 130:807-15. [PMID: 21695597 PMCID: PMC3215804 DOI: 10.1007/s00439-011-1045-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2011] [Accepted: 06/13/2011] [Indexed: 10/18/2022]
Abstract
The major histocompatibility complex (MHC) on chromosome 6p21 is a key contributor to the genetic basis of systemic lupus erythematosus (SLE). Although SLE affects African Americans disproportionately compared to European Americans, there has been no comprehensive analysis of the MHC region in relationship to SLE in African Americans. We conducted a screening of the MHC region for 1,536 single nucleotide polymorphisms (SNPs) and the deletion of the C4A gene in a SLE case-control study (380 cases, 765 age-matched controls) nested within the prospective Black Women's Health Study. We also genotyped 1,509 ancestral informative markers throughout the genome to estimate European ancestry to control for population stratification due to population admixture. The most strongly associated SNP with SLE was the rs9271366 (odds ratio, OR = 1.70, p = 5.6 × 10(-5)) near the HLA-DRB1 gene. Conditional haplotype analysis revealed three other SNPs, rs204890 (OR = 1.86, p = 1.2 × 10(-4)), rs2071349 (OR = 1.53, p = 1.0 × 10(-3)), and rs2844580 (OR = 1.43, p = 1.3 × 10(-3)), to be associated with SLE independent of the rs9271366 SNP. In univariate analysis, the OR for the C4A deletion was 1.38, p = 0.075, but after simultaneous adjustment for the other four SNPs the odds ratio was 1.01, p = 0.98. A genotype score combining the four newly identified SNPs showed an additive risk according to the number of high-risk alleles (OR = 1.67 per high-risk allele, p < 0.0001). Our strongest signal, the rs9271366 SNP, was also associated with higher risk of SLE in a previous Chinese genome-wide association study (GWAS). In addition, two SNPs found in a GWAS of European ancestry women were confirmed in our study, indicating that African Americans share some genetic risk factors for SLE with European and Chinese subjects. In summary, we found four independent signals in the MHC region associated with risk of SLE in African American women.
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Affiliation(s)
- Edward A Ruiz-Narvaez
- Slone Epidemiology Center at Boston University, 1010 Commonwealth Avenue, Boston, MA 02215, USA.
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223
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Jin W, Xu S, Wang H, Yu Y, Shen Y, Wu B, Jin L. Genome-wide detection of natural selection in African Americans pre- and post-admixture. Genome Res 2011; 22:519-27. [PMID: 22128132 DOI: 10.1101/gr.124784.111] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
It is particularly meaningful to investigate natural selection in African Americans (AfA) due to the high mortality their African ancestry has experienced in history. In this study, we examined 491,526 autosomal single nucleotide polymorphisms (SNPs) genotyped in 5210 individuals and conducted a genome-wide search for selection signals in 1890 AfA. Several genomic regions showing an excess of African or European ancestry, which were considered the footprints of selection since population admixture, were detected based on a commonly used approach. However, we also developed a new strategy to detect natural selection both pre- and post-admixture by reconstructing an ancestral African population (AAF) from inferred African components of ancestry in AfA and comparing it with indigenous African populations (IAF). Interestingly, many selection-candidate genes identified by the new approach were associated with AfA-specific high-risk diseases such as prostate cancer and hypertension, suggesting an important role these disease-related genes might have played in adapting to a new environment. CD36 and HBB, whose mutations confer a degree of protection against malaria, were also located in the highly differentiated regions between AAF and IAF. Further analysis showed that the frequencies of alleles protecting against malaria in AAF were lower than those in IAF, which is consistent with the relaxed selection pressure of malaria in the New World. There is no overlap between the top candidate genes detected by the two approaches, indicating the different environmental pressures AfA experienced pre- and post-population admixture. We suggest that the new approach is reasonably powerful and can also be applied to other admixed populations such as Latinos and Uyghurs.
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Affiliation(s)
- Wenfei Jin
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences and Max Planck Society (CAS-MPG) Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
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224
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Ma J, Chen YZ, Li F. Progress in genome-wide association study of digestive tract cancers. Shijie Huaren Xiaohua Zazhi 2011; 19:3432-3440. [DOI: 10.11569/wcjd.v19.i33.3432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Genome-wide association analysis is a new strategy for discovering genetic characteristics affecting the development of complex diseases, which uses human genome single nucleotide polymorphisms (SNPs) as markers. Using high-throughput techniques, genome-wide association analysis permits to genotype whole-genome SNPs and to explore their association with complex disease at one time. Over the past 5 years, genome-wide association studies have been proven to be a powerful approach for screening the susceptibility genes for complex disease. In recent years, a series of important achievements have been made in genome-wide association analysis of human cancers, especially digestive tract cancers. In this paper we will review the progress in genome-wide association study of digestive tract cancers.
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225
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Dewal N, Hu Y, Freedman ML, Laframboise T, Pe'er I. Calling amplified haplotypes in next generation tumor sequence data. Genome Res 2011; 22:362-74. [PMID: 22090379 DOI: 10.1101/gr.122564.111] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
During tumor initiation and progression, cancer cells acquire a selective advantage, allowing them to outcompete their normal counterparts. Identification of the genetic changes that underlie these tumor acquired traits can provide deeper insights into the biology of tumorigenesis. Regions of copy number alterations and germline DNA variants are some of the elements subject to selection during tumor evolution. Integrated examination of inherited variation and somatic alterations holds the potential to reveal specific nucleotide alleles that a tumor "prefers" to have amplified. Next-generation sequencing of tumor and matched normal tissues provides a high-resolution platform to identify and analyze such somatic amplicons. Within an amplicon, examination of informative (e.g., heterozygous) sites deviating from a 1:1 ratio may suggest selection of that allele. A naive approach examines the reads for each heterozygous site in isolation; however, this ignores available valuable linkage information across sites. We, therefore, present a novel hidden Markov model-based method-Haplotype Amplification in Tumor Sequences (HATS)-that analyzes tumor and normal sequence data, along with training data for phasing purposes, to infer amplified alleles and haplotypes in regions of copy number gain. Our method is designed to handle rare variants and biases in read data. We assess the performance of HATS using simulated amplified regions generated from varying copy number and coverage levels, followed by amplicons in real data. We demonstrate that HATS infers the amplified alleles more accurately than does the naive approach, especially at low to intermediate coverage levels and in cases (including high coverage) possessing stromal contamination or allelic bias.
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Affiliation(s)
- Ninad Dewal
- Department of Biomedical Informatics, Columbia University, New York, New York 10032, USA
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226
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Koh CM, Bieberich CJ, Dang CV, Nelson WG, Yegnasubramanian S, De Marzo AM. MYC and Prostate Cancer. Genes Cancer 2011; 1:617-28. [PMID: 21779461 DOI: 10.1177/1947601910379132] [Citation(s) in RCA: 208] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Prostate cancer, the majority of which is adenocarcinoma, is the most common epithelial cancer affecting a majority of elderly men in Western nations. Its manifestation, however, varies from clinically asymptomatic insidious neoplasms that progress slowly and do not threaten life to one that is highly aggressive with a propensity for metastatic spread and lethality if not treated in time. A number of somatic genetic and epigenetic alterations occur in prostate cancer cells. Some of these changes, such as loss of the tumor suppressors PTEN and p53, are linked to disease progression. Others, such as ETS gene fusions, appear to be linked more with early phases of the disease, such as invasion. Alterations in chromosome 8q24 in the region of MYC have also been linked to disease aggressiveness for many years. However, a number of recent studies in human tissues have indicated that MYC appears to be activated at the earliest phases of prostate cancer (e.g., in tumor-initiating cells) in prostatic intraepithelial neoplasia, a key precursor lesion to invasive prostatic adenocarcinoma. The initiation and early progression of prostate cancer can be recapitulated in genetically engineered mouse models, permitting a richer understanding of the cause and effects of loss of tumor suppressors and activation of MYC. The combination of studies using human tissues and mouse models paints an emerging molecular picture of prostate cancer development and early progression. This picture reveals that MYC contributes to disease initiation and progression by stimulating an embryonic stem cell-like signature characterized by an enrichment of genes involved in ribosome biogenesis and by repressing differentiation. These insights pave the way to potential novel therapeutic concepts based on MYC biology.
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227
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Response: genetic admixture in sickle cell disease. Blood 2011. [DOI: 10.1182/blood-2011-09-373274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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228
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Nucleotide discrimination with DNA immobilized in the MspA nanopore. PLoS One 2011; 6:e25723. [PMID: 21991340 PMCID: PMC3186796 DOI: 10.1371/journal.pone.0025723] [Citation(s) in RCA: 111] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2011] [Accepted: 09/09/2011] [Indexed: 11/19/2022] Open
Abstract
Nanopore sequencing has the potential to become a fast and low-cost DNA sequencing platform. An ionic current passing through a small pore would directly map the sequence of single stranded DNA (ssDNA) driven through the constriction. The pore protein, MspA, derived from Mycobacterium smegmatis, has a short and narrow channel constriction ideally suited for nanopore sequencing. To study MspA's ability to resolve nucleotides, we held ssDNA within the pore using a biotin-NeutrAvidin complex. We show that homopolymers of adenine, cytosine, thymine, and guanine in MspA exhibit much larger current differences than in α-hemolysin. Additionally, methylated cytosine is distinguishable from unmethylated cytosine. We establish that single nucleotide substitutions within homopolymer ssDNA can be detected when held in MspA's constriction. Using genomic single nucleotide polymorphisms, we demonstrate that single nucleotides within random DNA can be identified. Our results indicate that MspA has high signal-to-noise ratio and the single nucleotide sensitivity desired for nanopore sequencing devices.
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229
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Rotunno M, Hu N, Su H, Wang C, Goldstein AM, Bergen AW, Consonni D, Pesatori AC, Bertazzi PA, Wacholder S, Shih J, Caporaso NE, Taylor PR, Landi MT. A gene expression signature from peripheral whole blood for stage I lung adenocarcinoma. Cancer Prev Res (Phila) 2011; 4:1599-608. [PMID: 21742797 PMCID: PMC3188352 DOI: 10.1158/1940-6207.capr-10-0170] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Affordable early screening in subjects with high risk of lung cancer has great potential to improve survival from this deadly disease. We measured gene expression from lung tissue and peripheral whole blood (PWB) from adenocarcinoma cases and controls to identify dysregulated lung cancer genes that could be tested in blood to improve identification of at-risk patients in the future. Genome-wide mRNA expression analysis was conducted in 153 subjects (73 adenocarcinoma cases, 80 controls) from the Environment And Genetics in Lung cancer Etiology study using PWB and paired snap-frozen tumor and noninvolved lung tissue samples. Analyses were conducted using unpaired t tests, linear mixed effects, and ANOVA models. The area under the receiver operating characteristic curve (AUC) was computed to assess the predictive accuracy of the identified biomarkers. We identified 50 dysregulated genes in stage I adenocarcinoma versus control PWB samples (false discovery rate ≤0.1, fold change ≥1.5 or ≤0.66). Among them, eight (TGFBR3, RUNX3, TRGC2, TRGV9, TARP, ACP1, VCAN, and TSTA3) differentiated paired tumor versus noninvolved lung tissue samples in stage I cases, suggesting a similar pattern of lung cancer-related changes in PWB and lung tissue. These results were confirmed in two independent gene expression analyses in a blood-based case-control study (n = 212) and a tumor-nontumor paired tissue study (n = 54). The eight genes discriminated patients with lung cancer from healthy controls with high accuracy (AUC = 0.81, 95% CI = 0.74-0.87). Our finding suggests the use of gene expression from PWB for the identification of early detection markers of lung cancer in the future.
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Affiliation(s)
- Melissa Rotunno
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Hua Su
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Chaoyu Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Alisa M. Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Andrew W. Bergen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
- Center for Health Sciences, SRI International, Menlo Park, California
| | - Dario Consonni
- Unit of Epidemiology, Fondazione IRCCS Ospedale Maggiore Policlinico and Department of Occupational and Environmental Health, Università degli Studi di Milano, Milan, Italy
| | - Angela C Pesatori
- Unit of Epidemiology, Fondazione IRCCS Ospedale Maggiore Policlinico and Department of Occupational and Environmental Health, Università degli Studi di Milano, Milan, Italy
| | - Pier Alberto Bertazzi
- Unit of Epidemiology, Fondazione IRCCS Ospedale Maggiore Policlinico and Department of Occupational and Environmental Health, Università degli Studi di Milano, Milan, Italy
| | - Sholom Wacholder
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Joanna Shih
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Phil R. Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
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Chen F, Chen GK, Millikan RC, John EM, Ambrosone CB, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Deming SL, Bandera EV, Nyante S, Palmer JR, Rebbeck TR, Ingles SA, Press MF, Rodriguez-Gil JL, Chanock SJ, Le Marchand L, Kolonel LN, Henderson BE, Stram DO, Haiman CA. Fine-mapping of breast cancer susceptibility loci characterizes genetic risk in African Americans. Hum Mol Genet 2011; 20:4491-503. [PMID: 21852243 DOI: 10.1093/hmg/ddr367] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Genome-wide association studies (GWAS) have revealed 19 common genetic variants that are associated with breast cancer risk. Testing of the index signals found through GWAS and fine-mapping of each locus in diverse populations will be necessary for characterizing the role of these risk regions in contributing to inherited susceptibility. In this large study of breast cancer in African-American women (3016 cases and 2745 controls), we tested the 19 known risk variants identified by GWAS and replicated associations (P < 0.05) with only 4 variants. Through fine-mapping, we identified markers in four regions that better capture the association with breast cancer risk in African Americans as defined by the index signal (2q35, 5q11, 10q26 and 19p13). We also identified statistically significant associations with markers in four separate regions (8q24, 10q22, 11q13 and 16q12) that are independent of the index signals and may represent putative novel risk variants. In aggregate, the more informative markers found in the study enhance the association of these risk regions with breast cancer in African Americans [per allele odds ratio (OR) = 1.18, P = 2.8 × 10(-24) versus OR = 1.04, P = 6.1 × 10(-5)]. In this detailed analysis of the known breast cancer risk loci, we have validated and improved upon markers of risk that better characterize their association with breast cancer in women of African ancestry.
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Affiliation(s)
- Fang Chen
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
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231
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Kheirandish P, Chinegwundoh F. Ethnic differences in prostate cancer. Br J Cancer 2011; 105:481-5. [PMID: 21829203 PMCID: PMC3170971 DOI: 10.1038/bjc.2011.273] [Citation(s) in RCA: 86] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2011] [Accepted: 06/24/2011] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND It is recognised that the risk of prostate cancer is higher in black men than in white men worldwide. Recent studies suggest that a number of genetic mutations in black men predispose them to this disease; hence, race as well as environmental factors such as diet and migration are thought to be the determining factors. METHODS This review compares data from the United States (US), which suggest that African-American men have a 60% higher risk for developing prostate cancer with poorer prognosis in comparison with their white counterparts, with similar studies carried out in the United Kingdom (UK) and also in African and Caribbean countries. CONCLUSIONS Studies from the United States and the United Kingdom came to significantly different conclusions, and this has implications for policy development, awareness raising among black men in each country and clinical practice.
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Affiliation(s)
- P Kheirandish
- Department of Urology, St Bartholomew's hospital, Barts and The London NHS Trust, West Smithfield, London EC1A 7BE, UK.
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232
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Stephens JC, Bamshad M. Population choice as a consideration for genetic analysis study design. Cold Spring Harb Protoc 2011; 2011:917-22. [PMID: 21807860 DOI: 10.1101/pdb.top122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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233
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Gunderson K, Wang CY, Wang R. Global prostate cancer incidence and the migration, settlement, and admixture history of the Northern Europeans. Cancer Epidemiol 2011; 35:320-7. [PMID: 21167803 PMCID: PMC3309613 DOI: 10.1016/j.canep.2010.11.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2010] [Revised: 11/23/2010] [Accepted: 11/23/2010] [Indexed: 12/22/2022]
Abstract
The most salient feature of prostate cancer is its striking ethnic disparity. High incidences of the disease are documented in two ethnic groups: descendents of the Northern Europeans and African Americans. Other groups, including native Africans, are much less susceptible to the disease. Given that many risk factors may contribute to carcinogenesis, an etiological cause for the ethnic disparity remains to be defined. By analyzing the global prostate cancer incidence data, we found that distribution of prostate cancer incidence coincides with the migration and settlement history of Northern Europeans. The incidences in other ethnic groups correlate to the settlement history and extent of admixture of the Europeans. This study suggests that prostate cancer has been spread by the transmission of a genetic susceptibility that resides in the Northern European genome.
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Affiliation(s)
- Kristin Gunderson
- Department of Urology, Emory University School of Medicine, Atlanta, GA 30322
| | - Christopher Y. Wang
- Department of Urology, Emory University School of Medicine, Atlanta, GA 30322
| | - Ruoxiang Wang
- Department of Urology, Emory University School of Medicine, Atlanta, GA 30322
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048
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234
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Hinch AG, Tandon A, Patterson N, Song Y, Rohland N, Palmer CD, Chen GK, Wang K, Buxbaum SG, Akylbekova M, Aldrich MC, Ambrosone CB, Amos C, Bandera EV, Berndt SI, Bernstein L, Blot WJ, Bock CH, Boerwinkle E, Cai Q, Caporaso N, Casey G, Cupples LA, Deming SL, Diver WR, Divers J, Fornage M, Gillanders EM, Glessner J, Harris CC, Hu JJ, Ingles SA, Isaacs W, John EM, Kao WHL, Keating B, Kittles RA, Kolonel LN, Larkin E, Le Marchand L, McNeill LH, Millikan RC, Murphy A, Musani S, Neslund-Dudas C, Nyante S, Papanicolaou GJ, Press MF, Psaty BM, Reiner AP, Rich SS, Rodriguez-Gil JL, Rotter JI, Rybicki BA, Schwartz AG, Signorello LB, Spitz M, Strom SS, Thun MJ, Tucker MA, Wang Z, Wiencke JK, Witte JS, Wrensch M, Wu X, Yamamura Y, Zanetti KA, Zheng W, Ziegler RG, Zhu X, Redline S, Hirschhorn JN, Henderson BE, Taylor HA, Price AL, Hakonarson H, Chanock SJ, Haiman CA, Wilson JG, Reich D, Myers SR. The landscape of recombination in African Americans. Nature 2011; 476:170-5. [PMID: 21775986 PMCID: PMC3154982 DOI: 10.1038/nature10336] [Citation(s) in RCA: 235] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2011] [Accepted: 06/27/2011] [Indexed: 01/14/2023]
Abstract
Recombination, together with mutation, gives rise to genetic variation in populations. Here we leverage the recent mixture of people of African and European ancestry in the Americas to build a genetic map measuring the probability of crossing over at each position in the genome, based on about 2.1 million crossovers in 30,000 unrelated African Americans. At intervals of more than three megabases it is nearly identical to a map built in Europeans. At finer scales it differs significantly, and we identify about 2,500 recombination hotspots that are active in people of West African ancestry but nearly inactive in Europeans. The probability of a crossover at these hotspots is almost fully controlled by the alleles an individual carries at PRDM9 (P value < 10(-245)). We identify a 17-base-pair DNA sequence motif that is enriched in these hotspots, and is an excellent match to the predicted binding target of PRDM9 alleles common in West Africans and rare in Europeans. Sites of this motif are predicted to be risk loci for disease-causing genomic rearrangements in individuals carrying these alleles. More generally, this map provides a resource for research in human genetic variation and evolution.
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Affiliation(s)
- Anjali G. Hinch
- Wellcome Trust Centre for Human Genetics, Oxford University, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Arti Tandon
- Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA
- Dept. of Genetics, Harvard Medical School, New Research Bldg., 77 Ave. Louis Pasteur, Boston, MA 02115, USA
| | - Nick Patterson
- Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Yunli Song
- Department of Statistics, Oxford University, 1 South Parks Road, Oxford OX1 3TG, UK
| | - Nadin Rohland
- Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA
- Dept. of Genetics, Harvard Medical School, New Research Bldg., 77 Ave. Louis Pasteur, Boston, MA 02115, USA
| | - Cameron D. Palmer
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
- Div. of Genetics & Endocrinology and Program in Genomics, Childrens Hospital Boston, MA 02115, USA
| | - Gary K. Chen
- Department of Preventive Medicine and Department of Pathology, Keck School of Medicine, University of Southern California/ Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
| | - Kai Wang
- Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA 90089
- Center for Applied Genomics, The Childrens Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Sarah G. Buxbaum
- Jackson Heart Study Coordinating Center, Jackson State University, 350 W. Woodrow Wilson Ave., Suite 701, Jackson, MS 39213, USA
| | - Meggie Akylbekova
- Jackson Heart Study Coordinating Center, Jackson State University, 350 W. Woodrow Wilson Ave., Suite 701, Jackson, MS 39213, USA
- Department of Medicine, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS 39216, USA
| | - Melinda C. Aldrich
- Department of Thoracic Surgery, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
- Division of Epidemiology in the Department of Medicine, Vanderbilt Epidemiology Center; and the Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Christine B. Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY 14263, USA
| | - Christopher Amos
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 7703
| | - Elisa V. Bandera
- The Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Leslie Bernstein
- Division of Cancer Etiology, Dept. of Population Science, Beckman Research Inst., City of Hope, CA 91010, USA
| | - William J. Blot
- Division of Epidemiology in the Department of Medicine, Vanderbilt Epidemiology Center; and the Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
- International Epidemiology Institute, Rockville, MD 20850, USA
| | - Cathryn H. Bock
- Karmanos Cancer Institute and Dept. of Oncology, Wayne State University of Medicine, Detroit, MI USA 48201
| | - Eric Boerwinkle
- Human Genetics Center and Division of Epidemiology, University of Texas at Houston, 1200 Herman Pressler St., Houston, Texas 77030, USA
| | - Qiuyin Cai
- Division of Epidemiology in the Department of Medicine, Vanderbilt Epidemiology Center; and the Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Graham Casey
- Department of Preventive Medicine and Department of Pathology, Keck School of Medicine, University of Southern California/ Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Avenue, Boston, MA 02118 and Framingham Heart Study, Framingham, MA 01702, USA
| | - Sandra L. Deming
- Division of Epidemiology in the Department of Medicine, Vanderbilt Epidemiology Center; and the Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - W. Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Jasmin Divers
- Department of Biostatistical Sciences, Wake Forest University School of Medicine WC-2326, Medical Center Blvd., Winston Salem, NC 27157, USA
| | - Myriam Fornage
- Institute of Molecular Medicine and Division of Epidemiology, School of Public Health, University of Texas Health Sciences Center at Houston, 1825 Pressler Street, Houston, TX 77030, USA
| | - Elizabeth M. Gillanders
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD 20892, USA
| | - Joseph Glessner
- Center for Applied Genomics, The Childrens Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Curtis C. Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Jennifer J. Hu
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Sue A. Ingles
- Department of Preventive Medicine and Department of Pathology, Keck School of Medicine, University of Southern California/ Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
| | - Williams Isaacs
- James Buchanan Brady Urological Institute, Johns Hopkins Hospital and Medical Institutions, Baltimore, MD 21287, USA
| | - Esther M. John
- Cancer Prevention Institute of California, Fremont, CA 94538; and Stanford University School of Medicine and Stanford Cancer Center, Stanford, CA 94305, USA
| | - W. H. Linda Kao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA
| | - Brendan Keating
- Center for Applied Genomics, The Childrens Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Rick A. Kittles
- Department of Medicine, University of Illinois at Chicago, Chicago, IL 60607, USA
| | - Laurence N. Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Emma Larkin
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care, 6100 Medical Center East, Vanderbilt University Medical Center, Nashville, TN 37232-8300, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Lorna H. McNeill
- Department of Health Disparities Research, Division of OVP, Cancer Prevention and Population Sciences, and Center for Community Implementation and Dissemination Research, Duncan Family Institute, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Robert C. Millikan
- Department of Epidemiology, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Adam Murphy
- Department of Urology, Northwestern University, Chicago, IL 60611, USA
| | - Solomon Musani
- Department of Medicine, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS 39216, USA
| | | | - Sarah Nyante
- Department of Epidemiology, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - George J. Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung and Blood Institute, 6701 Rockledge Drive, Bethesda, MD 20892, USA
| | - Michael F. Press
- Department of Preventive Medicine and Department of Pathology, Keck School of Medicine, University of Southern California/ Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Depts. of Medicine, Epidemiology & Health Services, Univ. of Washington; Group Health Research Institute; Group Health Cooperative; 1730 Minor Ave., Seattle, WA 98101, USA
| | - Alex P. Reiner
- Department of Epidemiology, University of Washington, Box 357236 Seattle, WA 98195, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, West Complex Room 6111, Charlottesville, VA 22908, USA
| | - Jorge L. Rodriguez-Gil
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Jerome I. Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048, USA
| | | | - Ann G. Schwartz
- Karmanos Cancer Institute and Dept. of Oncology, Wayne State University of Medicine, Detroit, MI USA 48201
| | - Lisa B. Signorello
- Division of Epidemiology in the Department of Medicine, Vanderbilt Epidemiology Center; and the Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
- International Epidemiology Institute, Rockville, MD 20850, USA
| | - Margaret Spitz
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 7703
| | - Sara S. Strom
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Michael J. Thun
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Margaret A. Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Zhaoming Wang
- Core Genotype Facility, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, Maryland, USA 20877, USA
| | - John K. Wiencke
- University of California San Francisco, San Francisco CA 94158, USA
| | - John S. Witte
- Institute for Human Genetics, Departments of Epidemiology and Biostatistics and Urology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Margaret Wrensch
- University of California San Francisco, San Francisco CA 94158, USA
| | - Xifeng Wu
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 7703
| | - Yuko Yamamura
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Krista A. Zanetti
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD 20892, USA
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Wei Zheng
- Division of Epidemiology in the Department of Medicine, Vanderbilt Epidemiology Center; and the Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Regina G. Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Wolstein Research Building, Cleveland, Ohio 44106, USA
| | - Susan Redline
- Brigham and Women’s Hospital, Dept. of Medicine, Sleep Medicine, 75 Francis Street, Boston, MA 02115, USA
| | - Joel N. Hirschhorn
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
- Div. of Genetics & Endocrinology and Program in Genomics, Childrens Hospital Boston, MA 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Brian E. Henderson
- Department of Preventive Medicine and Department of Pathology, Keck School of Medicine, University of Southern California/ Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
| | - Herman A. Taylor
- Department of Medicine, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS 39216, USA
- Jackson State University, 1400 Lynch Street, Jackson, MS 39217, USA
- Tougaloo College, 500 West County Line Road, Tougaloo, MS 39174, USA
| | - Alkes L. Price
- Departments of Epidemiology and Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, The Childrens Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
- Dept. of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Christopher A. Haiman
- Department of Preventive Medicine and Department of Pathology, Keck School of Medicine, University of Southern California/ Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS 39216, USA
| | - David Reich
- Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA
- Dept. of Genetics, Harvard Medical School, New Research Bldg., 77 Ave. Louis Pasteur, Boston, MA 02115, USA
| | - Simon R. Myers
- Wellcome Trust Centre for Human Genetics, Oxford University, Roosevelt Drive, Oxford OX3 7BN, UK
- Department of Statistics, Oxford University, 1 South Parks Road, Oxford OX1 3TG, UK
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Narang A, Jha P, Rawat V, Mukhopadhayay A, Dash D, Basu A, Mukerji M, Basu A, Mukerji M. Recent admixture in an Indian population of African ancestry. Am J Hum Genet 2011; 89:111-20. [PMID: 21737057 DOI: 10.1016/j.ajhg.2011.06.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2011] [Revised: 05/21/2011] [Accepted: 06/09/2011] [Indexed: 01/03/2023] Open
Abstract
Identification and study of genetic variation in recently admixed populations not only provides insight into historical population events but also is a powerful approach for mapping disease loci. We studied a population (OG-W-IP) that is of African-Indian origin and has resided in the western part of India for 500 years; members of this population are believed to be descendants of the Bantu-speaking population of Africa. We have carried out this study by using a set of 18,534 autosomal markers common between Indian, CEPH-HGDP, and HapMap populations. Principal-components analysis clearly revealed that the African-Indian population derives its ancestry from Bantu-speaking west-African as well as Indo-European-speaking north and northwest Indian population(s). STRUCTURE and ADMIXTURE analyses show that, overall, the OG-W-IPs derive 58.7% of their genomic ancestry from their African past and have very little inter-individual ancestry variation (8.4%). The extent of linkage disequilibrium also reveals that the admixture event has been recent. Functional annotation of genes encompassing the ancestry-informative markers that are closer in allele frequency to the Indian ancestral population revealed significant enrichment of biological processes, such as ion-channel activity, and cadherins. We briefly examine the implications of determining the genetic diversity of this population, which could provide opportunities for studies involving admixture mapping.
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Abstract
Common lung diseases such as asthma, COPD, and pulmonary fibrosis cause significant morbidity and mortality in the U.S. and worldwide. Research investigating the mechanisms of disease etiology has clearly indicated that genetic attributes and environmental exposures each play important roles in the development of these diseases. Emerging evidence underscores the importance of the interplay between genetic predisposition and environmental factors in fully understanding the development of lung disease. Herein we discuss recent advances in knowledge and technology surrounding the role of genetics, the environment, and gene-environment interactions in these common lung diseases.
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Affiliation(s)
- Max A Seibold
- Center for Genes, Environment, and Health, National Jewish Health, Denver, Colorado 80206, USA.
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237
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Barnholtz-Sloan JS, Raska P, Rebbeck TR, Millikan RC. Replication of GWAS "Hits" by Race for Breast and Prostate Cancers in European Americans and African Americans. Front Genet 2011; 2:37. [PMID: 22303333 PMCID: PMC3268591 DOI: 10.3389/fgene.2011.00037] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2011] [Accepted: 06/10/2011] [Indexed: 11/22/2022] Open
Abstract
In this study, we assessed association of genome-wide association studies (GWAS) “hits” by race with adjustment for potential population stratification (PS) in two large, diverse study populations; the Carolina Breast Cancer Study (CBCS; N total = 3693 individuals) and the University of Pennsylvania Study of Clinical Outcomes, Risk, and Ethnicity (SCORE; N total = 1135 individuals). In both study populations, 136 ancestry information markers and GWAS “hits” (CBCS: FGFR2, 8q24; SCORE: JAZF1, MSMB, 8q24) were genotyped. Principal component analysis was used to assess ancestral differences by race. Multivariable unconditional logistic regression was used to assess differences in cancer risk with and without adjustment for the first ancestral principal component (PC1) and for an interaction effect between PC1 and the GWAS “hit” (SNP) of interest. PC1 explained 53.7% of the variance for CBCS and 49.5% of the variance for SCORE. European Americans and African Americans were similar in their ancestral structure between CBCS and SCORE and cases and controls were well matched by ancestry. In the CBCS European Americans, 9/11 SNPs were significant after PC1 adjustment, but after adjustment for the PC1 by SNP interaction effect, only one SNP remained significant (rs1219648 in FGFR2); for CBCS African Americans, 6/11 SNPs were significant after PC1 adjustment and after adjustment for the PC1 by SNP interaction effect, all six SNPs remained significant and an additional SNP now became significant. In the SCORE European Americans, 0/9 SNPs were significant after PC1 adjustment and no changes were seen after additional adjustment for the PC1 by SNP interaction effect; for SCORE African Americans, 2/9 SNPs were significant after PC1 adjustment and after adjustment for the PC1 by SNP interaction effect, only one SNP remained significant (rs16901979 at 8q24). We show that genetic associations by race are modified by interaction between individual SNPs and PS.
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Affiliation(s)
- Jill S Barnholtz-Sloan
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine Cleveland, OH, USA
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238
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Burastero S, Masciulli A, Villa A. Early onset of allergic rhinitis and asthma in recent extra-European immigrants to Milan, Italy: the perspective of a non-governmental organisation. Allergol Immunopathol (Madr) 2011; 39:232-9. [PMID: 21146915 DOI: 10.1016/j.aller.2010.07.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2010] [Accepted: 07/22/2010] [Indexed: 01/26/2023]
Abstract
BACKGROUND Allergy is determined by genetic and environmental factors. People immigrating from under-developed to industrialised countries are at higher risk of developing allergic diseases and immigration is as a good epidemiological model to quantify the influence of the environment. We performed the allergological assessment of 32,555 recent immigrants from different areas of the world to a polluted metropolitan area of Northern Italy. METHODS We evaluated time of onset of allergic rhinitis and/or asthma, sensitisations and clinical characteristics of 395 subjects (3.74 ± 2.94 yrs, mean ± SD) from four macro-areas (Asia, Africa, East-Europe, South America) arriving to Milan, Italy from June 2005 to June 2009. Data were compared with immigrants having access to the same medical facility for any medical problem and with resident Italians living in the same area. RESULTS Immigrants with allergic rhinitis and/or asthma days since arrival in Italy correlated with number of sensitisations (p=0.0030). Moreover, personal (2.02%) or familial (2.78%) history of allergic diseases was lower in allergic immigrants as compared to allergic residents (37.77 and 29.39%, respectively; p<0.0001 for both comparisons). Finally, the frequency of allergic immigrants from South America (63.3%) was higher than expected from the overall proportion of individuals from this macro-area who sought medical help at the same facility (40.4%; p<0.0001, OR 2.289, CI 2.1670-3.255). CONCLUSIONS Environmental factors play a relevant role in the induction of allergies in immigrants to Northern Italy. Genetics appears as a further promoting factor in the case of immigrants from South America.
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239
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Okobia MN, Zmuda JM, Ferrell RE, Patrick AL, Bunker CH. Chromosome 8q24 variants are associated with prostate cancer risk in a high risk population of African ancestry. Prostate 2011; 71:1054-63. [PMID: 21557270 PMCID: PMC4422491 DOI: 10.1002/pros.21320] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2010] [Accepted: 11/18/2010] [Indexed: 11/11/2022]
Abstract
BACKGROUND Earlier studies on the role of germline variations in the disproportionate higher burden of prostate cancer in men of African ancestry have been largely unrewarding. However, the successful replication of recent genome-wide association findings implicating some regions of chromosome 8q24 in the disparate prostate cancer susceptibility in men of European and African ancestry have been encouraging. This case-control study was designed to evaluate the association between germline variations in chromosome 8q24 and prostate cancer risk in Afro-Caribbean Tobago men, a population of predominantly West African ancestry. METHODS High molecular weight genomic DNA was isolated from blood clots using Qiagen kits. Genotyping was performed on genomic DNA using a pre-designed TaqMan SNP assay according to the manufacture's protocol on a 7900HT Fast Real-Time PCR system (Applied Biosystems, Foster City, CA). RESULTS SNP rs16901979 in region 2 was associated with significantly increased risk of prostate cancer (OR = 1.41, 95% confidence interval [CI] 1.02-1.95, P = 0.04) with the risk stronger in men with early-onset prostate cancer (OR = 2.37, 95% CI 1.40-3.99, P = 0.001). There was a tendency towards significantly increased risk for SNPs rs1447295 and rs6983267 in men with early-onset prostate cancer. CONCLUSIONS The replication of the association of chromosome 8q24 variants with increased prostate cancer risk in Tobago men and the higher frequency of the risk alleles in controls in populations of African ancestry further strengthens the possible role of this genomic region in the disproportionate higher burden of prostate cancer in men of African ancestry.
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Affiliation(s)
- Michael N. Okobia
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
- Universityof Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania
| | - Joseph M. Zmuda
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Robert E. Ferrell
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Alan L. Patrick
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
- Tobago Health Studies Office, Scarborough, Tobago, Trinidad & Tobago
| | - Clareann H. Bunker
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
- Universityof Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania
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240
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Ishak MB, Giri VN. A systematic review of replication studies of prostate cancer susceptibility genetic variants in high-risk men originally identified from genome-wide association studies. Cancer Epidemiol Biomarkers Prev 2011; 20:1599-610. [PMID: 21715604 DOI: 10.1158/1055-9965.epi-11-0312] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Several prostate cancer genome-wide association studies (GWAS) have identified risk-associated genetic variants primarily in populations of European descent. Less is known about the association of these variants in high-risk populations, including men of African descent and men with a family history of prostate cancer. This article provides a detailed review of published studies of prostate cancer-associated genetic variants originally identified in GWAS and replicated in high-risk populations. METHODS Articles replicating GWAS findings (National Human Genome Research Institute GWAS database) were identified by searching PubMed and relevant data were extracted. RESULTS Eleven replication studies were eligible for inclusion in this review. Of more than 30 single-nucleotide polymorphisms (SNP) identified in prostate cancer GWAS, 19 SNPs (63%) were replicated in men of African descent and 10 SNPs (33%) were replicated in men with familial and/or hereditary prostate cancer (FPC/HPC). The majority of SNPs were located at the 8q24 region with modest effect sizes (OR 1.11-2.63 in African American men and OR 1.3-2.51 in men with FPC). All replicated SNPs at 8q24 among men of African descent were within or near regions 2 and 3. CONCLUSIONS This systematic review revealed several GWAS markers with replicated associations with prostate cancer in men of African descent and men with FPC/HPC. The 8q24 region continues to be the most implicated in prostate cancer risk. These replication data support ongoing study of clinical utility and potential function of these prostate cancer-associated variants in high-risk men. IMPACT The replicated SNPs presented in this review hold promise for personalizing risk assessment for prostate cancer for high-risk men upon further study.
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Affiliation(s)
- Miriam B Ishak
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
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241
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Seldin MF, Pasaniuc B, Price AL. New approaches to disease mapping in admixed populations. Nat Rev Genet 2011; 12:523-8. [PMID: 21709689 DOI: 10.1038/nrg3002] [Citation(s) in RCA: 135] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Admixed populations such as African Americans and Hispanic Americans are often medically underserved and bear a disproportionately high burden of disease. Owing to the diversity of their genomes, these populations have both advantages and disadvantages for genetic studies of complex phenotypes. Advances in statistical methodologies that can infer genetic contributions from ancestral populations may yield new insights into the aetiology of disease and may contribute to the applicability of genomic medicine to these admixed population groups.
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Affiliation(s)
- Michael F Seldin
- Department of Biochemistry and Molecular Medicine, University of California Davis, Davis, California, USA.
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242
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Chornokur G, Dalton K, Borysova M, Kumar N. Disparities at presentation, diagnosis, treatment, and survival in African American men, affected by prostate cancer. Prostate 2011; 71:985-97. [PMID: 21541975 PMCID: PMC3083484 DOI: 10.1002/pros.21314] [Citation(s) in RCA: 255] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2010] [Accepted: 11/02/2010] [Indexed: 11/07/2022]
Abstract
BACKGROUND Prostate cancer (PCa) remains the most common malignancy and the second leading cause of cancer death among men in the United States. PCa exhibits the most striking racial disparity, as African American men are at 1.4 times higher risk of being diagnosed, and 2-3 times higher risk of dying of PCa, compared to Caucasian men. The etiology of the disparity has not been clearly elucidated. The objective of this article is to critically review the literature and summarize the most prominent PCa racial disparities accompanied by proposed explanations. METHODS The present literature on disparities at presentation, diagnosis, treatment, and survival of African American men affected by PCa was systematically reviewed. Original research as well as relevant review articles were included. RESULTS African American men persistently present with more advanced disease than Caucasian men, are administered different treatment regimens than Caucasian men, and have shorter progression-free survival following treatment. In addition, African American men report more treatment-related side-effects that translates to the diminished quality of life (QOL). CONCLUSIONS PCa racial disparity exists at stages of presentation, diagnosis, treatment regimens, and subsequent survival, and the QOL. The disparities are complex involving biological, socio-economic, and socio-cultural determinants. These mounting results highlight an urgent need for future clinical, scientific, and socio-cultural research involving transdisciplinary teams to elucidate the causes for PCa racial disparities.
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Affiliation(s)
- Ganna Chornokur
- H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr, Tampa, FL-33612, USA
- The Center for Equal Health, University of South Florida, Tampa, FL -33612, USA
| | - Kyle Dalton
- H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr, Tampa, FL-33612, USA
- The Center for Equal Health, University of South Florida, Tampa, FL -33612, USA
| | - Meghan Borysova
- H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr, Tampa, FL-33612, USA
- The Center for Equal Health, University of South Florida, Tampa, FL -33612, USA
| | - Nagi Kumar
- H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr, Tampa, FL-33612, USA
- The Center for Equal Health, University of South Florida, Tampa, FL -33612, USA
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243
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Cytogenomic aberrations associated with prostate cancer. Cancer Genet 2011; 204:57-67. [PMID: 21504704 DOI: 10.1016/j.cancergencyto.2010.10.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2010] [Accepted: 10/12/2010] [Indexed: 12/28/2022]
Abstract
Genetic changes associated with prostate cancer have finally begun to elucidate some of the mechanisms involved in the etiology of this complex and common disease. We highlight consistent and relatively frequent abnormalities seen by various methodologies. Specifically, the results of conventional and molecular cytogenetic studies, genome-wide association studies with single nucleotide polymorphisms, recurrent gene fusions, and epigenetic analyses are discussed.
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244
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Abstract
For decades, physicians and researchers have recognized that family history is a significant risk factor for prostate cancer. The identification of the genes responsible for inherited risk, however, proved difficult. With the sequencing of the human genome and the completion of the initial phases of the International HapMap Project, the tools are available to scan the entire genome and find genetic markers for disease. Since 2006, more than 30 inherited variants strongly associated with prostate cancer have been reported. As the inherited component of the disease is revealed, efforts are ongoing to translate genetic findings into the clinic.
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Affiliation(s)
- Mark M Pomerantz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
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245
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Barnabas N, Xu L, Savera A, Hou Z, Barrack ER. Chromosome 8 markers of metastatic prostate cancer in African American men: gain of the MIR151 gene and loss of the NKX3-1 gene. Prostate 2011; 71:857-71. [PMID: 21456068 DOI: 10.1002/pros.21302] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2010] [Accepted: 10/05/2010] [Indexed: 12/19/2022]
Abstract
BACKGROUND Radical prostatectomy (RP) is not curative if patients have undetected metastatic prostate cancer. Markers that indicate the presence of metastatic disease would identify men who may benefit from systemic adjuvant therapy. Our approach was to analyze the primary tumors of men with metastatic disease versus organ-confined disease to identify molecular changes that distinguish between these groups. METHODS Patients were identified based on long-term follow-up of serum prostate specific antigen (PSA) levels following RP. We compared the tumors of African American (AA) men with undetectable serum PSA for >9 year after RP (good outcome) versus those of AA men with a rising PSA and recurrence after radiation or androgen ablation or both (poor outcome). We used real-time quantitative PCR to assay gene copy number alterations in tumor DNA relative to patient-matched non-tumor DNA isolated from paraffin-embedded tissue. We assayed several genes located in the specific regions of chromosome 8p and 8q that frequently undergo loss and/or gain, respectively, in prostate cancer, and the androgen receptor gene at Xq12. RESULTS Gain of the MIR151 gene at 8q24.3 (in 33% of poor outcome vs. 6% of good outcome tumors) and/or loss of the NKX3-1 gene at 8p21.2 (in 39% of poor outcome vs. 11% of good outcome tumors) affected 67% of poor outcome tumors, compared to only 17% of good outcome tumors. CONCLUSIONS Copy number gain of the MIR151 gene and/or loss of the NKX3-1 gene in the primary tumor may indicate the presence of metastatic disease.
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Affiliation(s)
- Nandita Barnabas
- Vattikuti Urology Institute, Henry Ford Hospital, Detroit, Michigan 48202-3450, USA
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246
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Abstract
Recent developments in high-throughput genotyping and whole-genome sequencing will enhance the identification of disease loci in admixed populations. We discuss how a more refined estimation of ancestry benefits both admixture mapping and association mapping, making disease loci identification in admixed populations more powerful. High-throughput genotyping and sequencing will enable refined estimation of ancestry, thus enhancing disease loci identification in admixed populations
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247
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Haiman CA, Chen GK, Blot WJ, Strom SS, Berndt SI, Kittles RA, Rybicki BA, Isaacs WB, Ingles SA, Stanford JL, Diver WR, Witte JS, Chanock SJ, Kolb S, Signorello LB, Yamamura Y, Neslund-Dudas C, Thun MJ, Murphy A, Casey G, Sheng X, Wan P, Pooler LC, Monroe KR, Waters KM, Le Marchand L, Kolonel LN, Stram DO, Henderson BE. Characterizing genetic risk at known prostate cancer susceptibility loci in African Americans. PLoS Genet 2011; 7:e1001387. [PMID: 21637779 PMCID: PMC3102736 DOI: 10.1371/journal.pgen.1001387] [Citation(s) in RCA: 102] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2010] [Accepted: 04/21/2011] [Indexed: 12/16/2022] Open
Abstract
GWAS of prostate cancer have been remarkably successful in revealing common genetic variants and novel biological pathways that are linked with its etiology. A more complete understanding of inherited susceptibility to prostate cancer in the general population will come from continuing such discovery efforts and from testing known risk alleles in diverse racial and ethnic groups. In this large study of prostate cancer in African American men (3,425 prostate cancer cases and 3,290 controls), we tested 49 risk variants located in 28 genomic regions identified through GWAS in men of European and Asian descent, and we replicated associations (at p≤0.05) with roughly half of these markers. Through fine-mapping, we identified nearby markers in many regions that better define associations in African Americans. At 8q24, we found 9 variants (p≤6×10(-4)) that best capture risk of prostate cancer in African Americans, many of which are more common in men of African than European descent. The markers found to be associated with risk at each locus improved risk modeling in African Americans (per allele OR = 1.17) over the alleles reported in the original GWAS (OR = 1.08). In summary, in this detailed analysis of the prostate cancer risk loci reported from GWAS, we have validated and improved upon markers of risk in some regions that better define the association with prostate cancer in African Americans. Our findings with variants at 8q24 also reinforce the importance of this region as a major risk locus for prostate cancer in men of African ancestry.
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Affiliation(s)
- Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America.
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Genome-wide association study of prostate cancer in men of African ancestry identifies a susceptibility locus at 17q21. Nat Genet 2011; 43:570-3. [PMID: 21602798 PMCID: PMC3102788 DOI: 10.1038/ng.839] [Citation(s) in RCA: 179] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2011] [Accepted: 04/21/2011] [Indexed: 12/20/2022]
Abstract
In search of common risk alleles for prostate cancer that could contribute to high rates of the disease in men of African ancestry, we conducted a genome-wide association study (GWAS), with 1,047,986 single nucleotide polymorphism (SNP) markers examined in 3,425 African American prostate cancer cases and 3,290 African American male controls. The most significant 17 novel associations in stage 1 were followed-up in 1,844 cases and 3,269 controls of African ancestry. We identified a novel risk variant on chromosome 17q21 (rs7210100; odds ratio per allele=1.51; p=3.4×10−13). The frequency of the risk allele is ~5% in men of African descent while it is rare in other populations (<1%). Further studies are needed to investigate the biological contribution of this allele to prostate cancer risk. These findings emphasize the importance of conducting GWAS in diverse populations.
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249
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Robbins CM, Hooker S, Kittles RA, Carpten JD. EphB2 SNPs and sporadic prostate cancer risk in African American men. PLoS One 2011; 6:e19494. [PMID: 21603658 PMCID: PMC3095601 DOI: 10.1371/journal.pone.0019494] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2010] [Accepted: 04/08/2011] [Indexed: 11/18/2022] Open
Abstract
The EphB2 gene has been implicated as a tumor suppressor gene somatically altered in both prostate cancer (PC) and colorectal cancer. We have previously shown an association between an EphB2 germline nonsense variant and risk of familial prostate cancer among African American Men (AAM). Here we set out to test the hypothesis that common variation within the EphB2 locus is associated with increased risk of sporadic PC in AAM. We genotyped a set of 341 single nucleotide polymorphisms (SNPs) encompassing the EphB2 locus, including known and novel coding and noncoding variants, in 490 AA sporadic PC cases and 567 matched controls. Single marker-based logistical regression analyses revealed seven EphB2 SNPs showing statistically significant association with prostate cancer risk in our population. The most significant association was achieved for a novel synonymous coding SNP, TGen-624, (Odds Ratio (OR) = 0.22; 95% Confidence Interval (CI) 0.08-0.66, p = 1×10(-5)). Two other SNPs also show significant associations toward a protective effect rs10465543 and rs12090415 (p = 1×10(-4)), OR = 0.49 and 0.7, respectively. Two additional SNPs revealed trends towards an increase in risk of prostate cancer, rs4612601 and rs4263970 (p = 0.001), OR = 1.35 and 1.31, respectively. Furthermore, haplotype analysis revealed low levels of linkage disequilibrium within the region, with two blocks being associated with prostate cancer risk among our population. These data suggest that genetic variation at the EphB2 locus may increase risk of sporadic PC among AAM.
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Affiliation(s)
- Christiane M. Robbins
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Stanley Hooker
- Section of Genetic Medicine, Department of Medicine, Pritzker School of Medicine, The University of Chicago, Chicago, Illinois, United States of America
| | - Rick A. Kittles
- Section of Hematology/Oncology, Department of Medicine and Institute of Human Genetics, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - John D. Carpten
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute, Phoenix, Arizona, United States of America
- * E-mail:
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250
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Manuck TA, Lai Y, Meis PJ, Sibai B, Spong CY, Rouse DJ, Iams JD, Caritis SN, O'Sullivan MJ, Wapner RJ, Mercer B, Ramin SM, Peaceman AM. Admixture mapping to identify spontaneous preterm birth susceptibility loci in African Americans. Obstet Gynecol 2011; 117:1078-1084. [PMID: 21508746 PMCID: PMC3094723 DOI: 10.1097/aog.0b013e318214e67f] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Preterm birth is 1.5 times more common in African American (17.8%) than European American women (11.5%), even after controlling for confounding variables. We hypothesize that genetic factors may account for this disparity and can be identified by admixture mapping. METHODS This is a secondary analysis of women with at least one prior spontaneous preterm birth enrolled in a multicenter prospective study. DNA was extracted and whole-genome amplified from stored saliva samples. Self-identified African American patients were genotyped with a 1,509 single nucleotide polymorphism (SNP) commercially available admixture panel. A logarithm of odds locus-genome score of 1.5 or higher was considered suggestive and 2 or higher was considered significant for a disease locus. RESULTS One hundred seventy-seven African American women with one or more prior spontaneous preterm births were studied. One thousand four hundred fifty SNPs were in Hardy-Weinberg equilibrium and passed quality filters. Individuals had a mean of 78.3% to 87.9% African American ancestry for each SNP. A locus on chromosome 7q21-22 was suggestive of an association with spontaneous preterm birth before 37 weeks of gestation (three SNPs with logarithm of odds scores 1.50-1.99). This signal strengthened when women with at least one preterm birth before 35.0 (eight SNPs with logarithm of odds scores greater than 1.50) and before 32.0 weeks of gestation were considered (15 SNPs with logarithm of odds scores greater than 1.50). No other areas of the genome had logarithm of odds scores higher than 1.5. CONCLUSION Spontaneous preterm birth in African American women may be genetically mediated by a susceptibility locus on chromosome 7. This region contains multiple potential candidate genes, including collagen type 1-α-2 gene and genes involved with calcium regulation.
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Affiliation(s)
- Tracy A Manuck
- From the Department of Obstetrics and Gynecology at University of Utah, Salt Lake City, Utah; Wake Forest University Health Sciences, Winston-Salem, North Carolina; University of Tennessee, Memphis, Tennessee; University of Alabama at Birmingham, Birmingham, Alabama; The Ohio State University, Columbus, Ohio; University of Pittsburgh, Pittsburgh, Pennsylvania; University of Miami, Miami, Florida; Drexel University, Philadelphia, Pennsylvania; Case Western Reserve University-MetroHealth Medical Center, Cleveland, Ohio; University of Texas Health Science Center at Houston, Houston, Texas; Northwestern University, Chicago, Illinois; The George Washington University Biostatistics Center, Washington, DC; and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
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