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1.
Nat Genet ; 53(1): 65-75, 2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-33398198

RESUMO

Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction.


Assuntos
Grupos de Populações Continentais/genética , Loci Gênicos , Predisposição Genética para Doença , Estudo de Associação Genômica Ampla , Neoplasias da Próstata/genética , Humanos , Masculino , Pessoa de Meia-Idade , Anotação de Sequência Molecular , Invasividade Neoplásica , Razão de Chances , Neoplasias da Próstata/diagnóstico , Fatores de Risco
5.
Nat Commun ; 10(1): 431, 2019 01 25.
Artigo em Inglês | MEDLINE | ID: mdl-30683880

RESUMO

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10-8), breast and ovarian cancer (rg = 0.24, p = 7 × 10-5), breast and lung cancer (rg = 0.18, p =1.5 × 10-6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.


Assuntos
Neoplasias da Mama/genética , Neoplasias Colorretais/genética , Neoplasias de Cabeça e Pescoço/genética , Padrões de Herança , Neoplasias Pulmonares/genética , Neoplasias Ovarianas/genética , Neoplasias da Próstata/genética , Neoplasias da Mama/diagnóstico , Neoplasias da Mama/etnologia , Neoplasias da Mama/patologia , Estudos de Casos e Controles , Neoplasias Colorretais/diagnóstico , Neoplasias Colorretais/etnologia , Neoplasias Colorretais/patologia , Grupo com Ancestrais do Continente Europeu , Feminino , Predisposição Genética para Doença , Estudo de Associação Genômica Ampla , Neoplasias de Cabeça e Pescoço/diagnóstico , Neoplasias de Cabeça e Pescoço/etnologia , Neoplasias de Cabeça e Pescoço/patologia , Humanos , Neoplasias Pulmonares/diagnóstico , Neoplasias Pulmonares/etnologia , Neoplasias Pulmonares/patologia , Masculino , Transtornos Mentais/etnologia , Transtornos Mentais/genética , Transtornos Mentais/fisiopatologia , Proteínas de Neoplasias/genética , Neoplasias Ovarianas/diagnóstico , Neoplasias Ovarianas/etnologia , Neoplasias Ovarianas/patologia , Fenótipo , Polimorfismo de Nucleotídeo Único , Neoplasias da Próstata/diagnóstico , Neoplasias da Próstata/etnologia , Neoplasias da Próstata/patologia , Fumar/etnologia , Fumar/genética , Fumar/fisiopatologia
7.
Cancer Epidemiol Biomarkers Prev ; 28(1): 208-216, 2019 01.
Artigo em Inglês | MEDLINE | ID: mdl-30352818

RESUMO

BACKGROUND: Whether associations between circulating metabolites and prostate cancer are causal is unknown. We report on the largest study of metabolites and prostate cancer (2,291 cases and 2,661 controls) and appraise causality for a subset of the prostate cancer-metabolite associations using two-sample Mendelian randomization (MR). METHODS: The case-control portion of the study was conducted in nine UK centers with men ages 50-69 years who underwent prostate-specific antigen screening for prostate cancer within the Prostate Testing for Cancer and Treatment (ProtecT) trial. Two data sources were used to appraise causality: a genome-wide association study (GWAS) of metabolites in 24,925 participants and a GWAS of prostate cancer in 44,825 cases and 27,904 controls within the Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium. RESULTS: Thirty-five metabolites were strongly associated with prostate cancer (P < 0.0014, multiple-testing threshold). These fell into four classes: (i) lipids and lipoprotein subclass characteristics (total cholesterol and ratios, cholesterol esters and ratios, free cholesterol and ratios, phospholipids and ratios, and triglyceride ratios); (ii) fatty acids and ratios; (iii) amino acids; (iv) and fluid balance. Fourteen top metabolites were proxied by genetic variables, but MR indicated these were not causal. CONCLUSIONS: We identified 35 circulating metabolites associated with prostate cancer presence, but found no evidence of causality for those 14 testable with MR. Thus, the 14 MR-tested metabolites are unlikely to be mechanistically important in prostate cancer risk. IMPACT: The metabolome provides a promising set of biomarkers that may aid prostate cancer classification.


Assuntos
Biomarcadores Tumorais/sangue , Metaboloma , Neoplasias da Próstata/sangue , Idoso , Estudos de Casos e Controles , Colesterol/sangue , Estudo de Associação Genômica Ampla , Humanos , Masculino , Análise da Randomização Mendeliana , Pessoa de Meia-Idade , Fosfolipídeos/sangue , Antígeno Prostático Específico/sangue , Triglicerídeos/sangue , Reino Unido
8.
Nat Commun ; 9(1): 4616, 2018 11 05.
Artigo em Inglês | MEDLINE | ID: mdl-30397198

RESUMO

Chromosome 8q24 is a susceptibility locus for multiple cancers, including prostate cancer. Here we combine genetic data across the 8q24 susceptibility region from 71,535 prostate cancer cases and 52,935 controls of European ancestry to define the overall contribution of germline variation at 8q24 to prostate cancer risk. We identify 12 independent risk signals for prostate cancer (p < 4.28 × 10-15), including three risk variants that have yet to be reported. From a polygenic risk score (PRS) model, derived to assess the cumulative effect of risk variants at 8q24, men in the top 1% of the PRS have a 4-fold (95%CI = 3.62-4.40) greater risk compared to the population average. These 12 variants account for ~25% of what can be currently explained of the familial risk of prostate cancer by known genetic risk factors. These findings highlight the overwhelming contribution of germline variation at 8q24 on prostate cancer risk which has implications for population risk stratification.


Assuntos
Cromossomos Humanos Par 8/genética , Grupo com Ancestrais do Continente Europeu/genética , Predisposição Genética para Doença , Neoplasias da Próstata/genética , Estudos de Casos e Controles , Mapeamento Cromossômico , Suscetibilidade a Doenças , Marcadores Genéticos , Predisposição Genética para Doença/epidemiologia , Genótipo , Haplótipos , Humanos , Masculino , Neoplasias da Próstata/epidemiologia , Neoplasias da Próstata/patologia , Medição de Risco , Fatores de Risco
9.
Nat Genet ; 50(7): 928-936, 2018 07.
Artigo em Inglês | MEDLINE | ID: mdl-29892016

RESUMO

Genome-wide association studies (GWAS) and fine-mapping efforts to date have identified more than 100 prostate cancer (PrCa)-susceptibility loci. We meta-analyzed genotype data from a custom high-density array of 46,939 PrCa cases and 27,910 controls of European ancestry with previously genotyped data of 32,255 PrCa cases and 33,202 controls of European ancestry. Our analysis identified 62 novel loci associated (P < 5.0 × 10-8) with PrCa and one locus significantly associated with early-onset PrCa (≤55 years). Our findings include missense variants rs1800057 (odds ratio (OR) = 1.16; P = 8.2 × 10-9; G>C, p.Pro1054Arg) in ATM and rs2066827 (OR = 1.06; P = 2.3 × 10-9; T>G, p.Val109Gly) in CDKN1B. The combination of all loci captured 28.4% of the PrCa familial relative risk, and a polygenic risk score conferred an elevated PrCa risk for men in the ninetieth to ninety-ninth percentiles (relative risk = 2.69; 95% confidence interval (CI): 2.55-2.82) and first percentile (relative risk = 5.71; 95% CI: 5.04-6.48) risk stratum compared with the population average. These findings improve risk prediction, enhance fine-mapping, and provide insight into the underlying biology of PrCa1.


Assuntos
Neoplasias da Próstata/genética , Estudos de Casos e Controles , Loci Gênicos , Predisposição Genética para Doença , Estudo de Associação Genômica Ampla/métodos , Genótipo , Humanos , Masculino , Polimorfismo de Nucleotídeo Único , Risco
10.
Nat Commun ; 9(1): 2256, 2018 06 11.
Artigo em Inglês | MEDLINE | ID: mdl-29892050

RESUMO

Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling.


Assuntos
Neoplasias da Próstata/genética , Grupo com Ancestrais do Continente Africano/genética , Algoritmos , Teorema de Bayes , Mapeamento Cromossômico , Grupo com Ancestrais do Continente Europeu/genética , Predisposição Genética para Doença , Estudo de Associação Genômica Ampla , Humanos , Masculino , Anotação de Sequência Molecular , Análise Multivariada , Polimorfismo de Nucleotídeo Único , Locos de Características Quantitativas , Risco
11.
Bioinformatics ; 34(24): 4141-4150, 2018 12 15.
Artigo em Inglês | MEDLINE | ID: mdl-29878078

RESUMO

Motivation: The use of single nucleotide polymorphism (SNP) interactions to predict complex diseases is getting more attention during the past decade, but related statistical methods are still immature. We previously proposed the SNP Interaction Pattern Identifier (SIPI) approach to evaluate 45 SNP interaction patterns/patterns. SIPI is statistically powerful but suffers from a large computation burden. For large-scale studies, it is necessary to use a powerful and computation-efficient method. The objective of this study is to develop an evidence-based mini-version of SIPI as the screening tool or solitary use and to evaluate the impact of inheritance mode and model structure on detecting SNP-SNP interactions. Results: We tested two candidate approaches: the 'Five-Full' and 'AA9int' method. The Five-Full approach is composed of the five full interaction models considering three inheritance modes (additive, dominant and recessive). The AA9int approach is composed of nine interaction models by considering non-hierarchical model structure and the additive mode. Our simulation results show that AA9int has similar statistical power compared to SIPI and is superior to the Five-Full approach, and the impact of the non-hierarchical model structure is greater than that of the inheritance mode in detecting SNP-SNP interactions. In summary, it is recommended that AA9int is a powerful tool to be used either alone or as the screening stage of a two-stage approach (AA9int+SIPI) for detecting SNP-SNP interactions in large-scale studies. Availability and implementation: The 'AA9int' and 'parAA9int' functions (standard and parallel computing version) are added in the SIPI R package, which is freely available at https://linhuiyi.github.io/LinHY_Software/. Supplementary information: Supplementary data are available at Bioinformatics online.


Assuntos
Polimorfismo de Nucleotídeo Único , Software , Algoritmos , Biologia Computacional , Simulação por Computador , Estatística como Assunto
13.
Bioinformatics ; 33(6): 822-833, 2017 03 15.
Artigo em Inglês | MEDLINE | ID: mdl-28039167

RESUMO

Motivation: Testing SNP-SNP interactions is considered as a key for overcoming bottlenecks of genetic association studies. However, related statistical methods for testing SNP-SNP interactions are underdeveloped. Results: We propose the SNP Interaction Pattern Identifier (SIPI), which tests 45 biologically meaningful interaction patterns for a binary outcome. SIPI takes non-hierarchical models, inheritance modes and mode coding direction into consideration. The simulation results show that SIPI has higher power than MDR (Multifactor Dimensionality Reduction), AA_Full, Geno_Full (full interaction model with additive or genotypic mode) and SNPassoc in detecting interactions. Applying SIPI to the prostate cancer PRACTICAL consortium data with approximately 21 000 patients, the four SNP pairs in EGFR-EGFR , EGFR-MMP16 and EGFR-CSF1 were found to be associated with prostate cancer aggressiveness with the exact or similar pattern in the discovery and validation sets. A similar match for external validation of SNP-SNP interaction studies is suggested. We demonstrated that SIPI not only searches for more meaningful interaction patterns but can also overcome the unstable nature of interaction patterns. Availability and Implementation: The SIPI software is freely available at http://publichealth.lsuhsc.edu/LinSoftware/ . Contact: hlin1@lsuhsc.edu. Supplementary information: Supplementary data are available at Bioinformatics online.


Assuntos
Epistasia Genética , Estudos de Associação Genética/métodos , Polimorfismo de Nucleotídeo Único , Neoplasias da Próstata/genética , Software , Estatística como Assunto , Receptores ErbB/genética , Predisposição Genética para Doença , Humanos , Masculino , Metaloproteinase 16 da Matriz/genética , Modelos Genéticos , Neoplasias da Próstata/metabolismo
14.
Int J Cancer ; 140(1): 75-85, 2017 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-27643404

RESUMO

Prostate cancer is the most common cancer in men in developed countries, and is a target for risk reduction strategies. The effects of alcohol consumption on prostate cancer incidence and survival remain unclear, potentially due to methodological limitations of observational studies. In this study, we investigated the associations of genetic variants in alcohol-metabolising genes with prostate cancer incidence and survival. We analysed data from 23,868 men with prostate cancer and 23,051 controls from 25 studies within the international PRACTICAL Consortium. Study-specific associations of 68 single nucleotide polymorphisms (SNPs) in 8 alcohol-metabolising genes (Alcohol Dehydrogenases (ADHs) and Aldehyde Dehydrogenases (ALDHs)) with prostate cancer diagnosis and prostate cancer-specific mortality, by grade, were assessed using logistic and Cox regression models, respectively. The data across the 25 studies were meta-analysed using fixed-effect and random-effects models. We found little evidence that variants in alcohol metabolising genes were associated with prostate cancer diagnosis. Four variants in two genes exceeded the multiple testing threshold for associations with prostate cancer mortality in fixed-effect meta-analyses. SNPs within ALDH1A2 associated with prostate cancer mortality were rs1441817 (fixed effects hazard ratio, HRfixed = 0.78; 95% confidence interval (95%CI):0.66,0.91; p values = 0.002); rs12910509, HRfixed = 0.76; 95%CI:0.64,0.91; p values = 0.003); and rs8041922 (HRfixed = 0.76; 95%CI:0.64,0.91; p values = 0.002). These SNPs were in linkage disequilibrium with each other. In ALDH1B1, rs10973794 (HRfixed = 1.43; 95%CI:1.14,1.79; p values = 0.002) was associated with prostate cancer mortality in men with low-grade prostate cancer. These results suggest that alcohol consumption is unlikely to affect prostate cancer incidence, but it may influence disease progression.


Assuntos
Consumo de Bebidas Alcoólicas/genética , Aldeído Desidrogenase/genética , Polimorfismo de Nucleotídeo Único , Neoplasias da Próstata/epidemiologia , Neoplasias da Próstata/patologia , Retinal Desidrogenase/genética , Idoso , Idoso de 80 Anos ou mais , Consumo de Bebidas Alcoólicas/efeitos adversos , Aldeído-Desidrogenase Mitocondrial , Estudos de Casos e Controles , Progressão da Doença , Humanos , Incidência , Desequilíbrio de Ligação , Masculino , Pessoa de Meia-Idade , Gradação de Tumores , Neoplasias da Próstata/mortalidade , Análise de Regressão , Análise de Sobrevida
15.
Int J Cancer ; 140(2): 322-328, 2017 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-27741566

RESUMO

Coffee consumption has been shown in some studies to be associated with lower risk of prostate cancer. However, it is unclear if this association is causal or due to confounding or reverse causality. We conducted a Mendelian randomisation analysis to investigate the causal effects of coffee consumption on prostate cancer risk and progression. We used two genetic variants robustly associated with caffeine intake (rs4410790 and rs2472297) as proxies for coffee consumption in a sample of 46,687 men of European ancestry from 25 studies in the PRACTICAL consortium. Associations between genetic variants and prostate cancer case status, stage and grade were assessed by logistic regression and with all-cause and prostate cancer-specific mortality using Cox proportional hazards regression. There was no clear evidence that a genetic risk score combining rs4410790 and rs2472297 was associated with prostate cancer risk (OR per additional coffee increasing allele: 1.01, 95% CI: 0.98,1.03) or having high-grade compared to low-grade disease (OR: 1.01, 95% CI: 0.97,1.04). There was some evidence that the genetic risk score was associated with higher odds of having nonlocalised compared to localised stage disease (OR: 1.03, 95% CI: 1.01, 1.06). Amongst men with prostate cancer, there was no clear association between the genetic risk score and all-cause mortality (HR: 1.00, 95% CI: 0.97,1.04) or prostate cancer-specific mortality (HR: 1.03, 95% CI: 0.98,1.08). These results, which should have less bias from confounding than observational estimates, are not consistent with a substantial effect of coffee consumption on reducing prostate cancer incidence or progression.


Assuntos
Café/efeitos adversos , Neoplasias da Próstata/etiologia , Idoso , Alelos , Progressão da Doença , Variação Genética/genética , Humanos , Masculino , Análise da Randomização Mendeliana/métodos , Pessoa de Meia-Idade , Neoplasias da Próstata/genética , Neoplasias da Próstata/patologia , Fatores de Risco
16.
Hum Mol Genet ; 25(24): 5490-5499, 2016 12 15.
Artigo em Inglês | MEDLINE | ID: mdl-27798103

RESUMO

Molecular and epidemiological differences have been described between TMPRSS2:ERG fusion-positive and fusion-negative prostate cancer (PrCa). Assuming two molecularly distinct subtypes, we have examined 27 common PrCa risk variants, previously identified in genome-wide association studies, for subtype specific associations in a total of 1221 TMPRSS2:ERG phenotyped PrCa cases. In meta-analyses of a discovery set of 552 cases with TMPRSS2:ERG data and 7650 unaffected men from five centers we have found support for the hypothesis that several common risk variants are associated with one particular subtype rather than with PrCa in general. Risk variants were analyzed in case-case comparisons (296 TMPRSS2:ERG fusion-positive versus 256 fusion-negative cases) and an independent set of 669 cases with TMPRSS2:ERG data was established to replicate the top five candidates. Significant differences (P < 0.00185) between the two subtypes were observed for rs16901979 (8q24) and rs1859962 (17q24), which were enriched in TMPRSS2:ERG fusion-negative (OR = 0.53, P = 0.0007) and TMPRSS2:ERG fusion-positive PrCa (OR = 1.30, P = 0.0016), respectively. Expression quantitative trait locus analysis was performed to investigate mechanistic links between risk variants, fusion status and target gene mRNA levels. For rs1859962 at 17q24, genotype dependent expression was observed for the candidate target gene SOX9 in TMPRSS2:ERG fusion-positive PrCa, which was not evident in TMPRSS2:ERG negative tumors. The present study established evidence for the first two common PrCa risk variants differentially associated with TMPRSS2:ERG fusion status. TMPRSS2:ERG phenotyping of larger studies is required to determine comprehensive sets of variants with subtype-specific roles in PrCa.


Assuntos
Proteínas de Fusão Oncogênica/genética , Neoplasias da Próstata/genética , Serina Endopeptidases/genética , Regulação Neoplásica da Expressão Gênica/genética , Predisposição Genética para Doença , Estudo de Associação Genômica Ampla , Genótipo , Humanos , Hibridização in Situ Fluorescente , Masculino , Neoplasias da Próstata/patologia , Locos de Características Quantitativas/genética , Regulador Transcricional ERG/genética
17.
Br J Cancer ; 115(5): 624-31, 2016 08 23.
Artigo em Inglês | MEDLINE | ID: mdl-27490808

RESUMO

BACKGROUND: Prostate cancer is a common cancer worldwide with no established modifiable lifestyle factors to guide prevention. The associations between polyunsaturated fatty acids (PUFAs) and prostate cancer risk have been inconsistent. Using Mendelian randomisation, we evaluated associations between PUFAs and prostate cancer risk. METHODS: We used individual-level data from a consortium of 22 721 cases and 23 034 controls of European ancestry. Externally-weighted PUFA-specific polygenic risk scores (wPRSs), with explanatory variation ranging from 0.65 to 33.07%, were constructed and used to evaluate associations with prostate cancer risk per one standard deviation (s.d.) increase in genetically-predicted plasma PUFA levels using multivariable-adjusted unconditional logistic regression. RESULTS: No overall association was observed between the genetically-predicted PUFAs evaluated in this study and prostate cancer risk. However, risk reductions were observed for short-chain PUFAs, linoleic (ORLA=0.95, 95%CI=0.92, 0.98) and α-linolenic acids (ORALA=0.96, 95%CI=0.93, 0.98), among men <62 years; whereas increased risk was found among men ⩾62 years for LA (ORLA=1.04, 95%CI=1.01, 1.07). For long-chain PUFAs (i.e., arachidonic, eicosapentaenoic, and docosapentaenoic acids), increased risks were observed among men <62 years (ORAA=1.05, 95%CI=1.02, 1.08; OREPA=1.04, 95%CI=1.01, 1.06; ORDPA=1.05, 95%CI=1.02, 1.08). CONCLUSION: Results from this study suggest that circulating ω-3 and ω-6 PUFAs may have a different role in the aetiology of early- and late-onset prostate cancer.


Assuntos
Ácidos Graxos Insaturados/metabolismo , Neoplasias da Próstata/metabolismo , Estudo de Associação Genômica Ampla , Humanos , Masculino , Neoplasias da Próstata/epidemiologia , Neoplasias da Próstata/genética , Fatores de Risco
18.
Int J Cancer ; 139(7): 1520-33, 2016 10 01.
Artigo em Inglês | MEDLINE | ID: mdl-27225428

RESUMO

Circulating insulin-like growth factors (IGFs) and their binding proteins (IGFBPs) are associated with prostate cancer. Using genetic variants as instruments for IGF peptides, we investigated whether these associations are likely to be causal. We identified from the literature 56 single nucleotide polymorphisms (SNPs) in the IGF axis previously associated with biomarker levels (8 from a genome-wide association study [GWAS] and 48 in reported candidate genes). In ∼700 men without prostate cancer and two replication cohorts (N ∼ 900 and ∼9,000), we examined the properties of these SNPS as instrumental variables (IVs) for IGF-I, IGF-II, IGFBP-2 and IGFBP-3. Those confirmed as strong IVs were tested for association with prostate cancer risk, low (< 7) vs. high (≥ 7) Gleason grade, localised vs. advanced stage, and mortality, in 22,936 controls and 22,992 cases. IV analysis was used in an attempt to estimate the causal effect of circulating IGF peptides on prostate cancer. Published SNPs in the IGFBP1/IGFBP3 gene region, particularly rs11977526, were strong instruments for IGF-II and IGFBP-3, less so for IGF-I. Rs11977526 was associated with high (vs. low) Gleason grade (OR per IGF-II/IGFBP-3 level-raising allele 1.05; 95% CI: 1.00, 1.10). Using rs11977526 as an IV we estimated the causal effect of a one SD increase in IGF-II (∼265 ng/mL) on risk of high vs. low grade disease as 1.14 (95% CI: 1.00, 1.31). Because of the potential for pleiotropy of the genetic instruments, these findings can only causally implicate the IGF pathway in general, not any one specific biomarker.


Assuntos
Proteínas de Ligação a Fator de Crescimento Semelhante a Insulina/genética , Proteínas de Ligação a Fator de Crescimento Semelhante a Insulina/metabolismo , Neoplasias da Próstata/sangue , Neoplasias da Próstata/genética , Somatomedinas/genética , Somatomedinas/metabolismo , Idoso , Estudos de Casos e Controles , Estudo de Associação Genômica Ampla , Humanos , Estudos Longitudinais , Masculino , Análise da Randomização Mendeliana/métodos , Pessoa de Meia-Idade , Gradação de Tumores , Estadiamento de Neoplasias , Polimorfismo de Nucleotídeo Único , Neoplasias da Próstata/epidemiologia , Neoplasias da Próstata/patologia , Reino Unido/epidemiologia
19.
BMC Med ; 14: 66, 2016 Apr 04.
Artigo em Inglês | MEDLINE | ID: mdl-27044414

RESUMO

BACKGROUND: Epidemiological studies have observed a positive association between an earlier age at sexual development and prostate cancer, but markers of sexual maturation in boys are imprecise and observational estimates are likely to suffer from a degree of uncontrolled confounding. To obtain causal estimates, we examined the role of pubertal development in prostate cancer using genetic polymorphisms associated with Tanner stage in adolescent boys in a Mendelian randomization (MR) approach. METHODS: We derived a weighted genetic risk score for pubertal development, combining 13 SNPs associated with male Tanner stage. A higher score indicated a later puberty onset. We examined the association of this score with prostate cancer risk, stage and grade in the UK-based ProtecT case-control study (n = 2,927), and used the PRACTICAL consortium (n = 43,737) as a replication sample. RESULTS: In ProtecT, the puberty genetic score was inversely associated with prostate cancer grade (odds ratio (OR) of high- vs. low-grade cancer, per tertile of the score: 0.76; 95 % CI, 0.64-0.89). In an instrumental variable estimation of the causal OR, later physical development in adolescence (equivalent to a difference of one Tanner stage between pubertal boys of the same age) was associated with a 77 % (95 % CI, 43-91 %) reduced odds of high Gleason prostate cancer. In PRACTICAL, the puberty genetic score was associated with prostate cancer stage (OR of advanced vs. localized cancer, per tertile: 0.95; 95 % CI, 0.91-1.00) and prostate cancer-specific mortality (hazard ratio amongst cases, per tertile: 0.94; 95 % CI, 0.90-0.98), but not with disease grade. CONCLUSIONS: Older age at sexual maturation is causally linked to a reduced risk of later prostate cancer, especially aggressive disease.


Assuntos
Neoplasias da Próstata , Maturidade Sexual/genética , Adolescente , Idade de Início , Idoso , Estudos de Casos e Controles , Estudo de Associação Genômica Ampla , Humanos , Masculino , Análise da Randomização Mendeliana/métodos , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Razão de Chances , Polimorfismo de Nucleotídeo Único , Neoplasias da Próstata/epidemiologia , Neoplasias da Próstata/genética , Neoplasias da Próstata/patologia , Neoplasias da Próstata/fisiopatologia , Puberdade/fisiologia , Distribuição Aleatória , Análise de Regressão , Fatores de Risco , Análise de Sobrevida , Reino Unido/epidemiologia
20.
Nat Commun ; 7: 10979, 2016 Apr 07.
Artigo em Inglês | MEDLINE | ID: mdl-27052111

RESUMO

Although genome-wide association studies have identified over 100 risk loci that explain ∼33% of familial risk for prostate cancer (PrCa), their functional effects on risk remain largely unknown. Here we use genotype data from 59,089 men of European and African American ancestries combined with cell-type-specific epigenetic data to build a genomic atlas of single-nucleotide polymorphism (SNP) heritability in PrCa. We find significant differences in heritability between variants in prostate-relevant epigenetic marks defined in normal versus tumour tissue as well as between tissue and cell lines. The majority of SNP heritability lies in regions marked by H3k27 acetylation in prostate adenoc7arcinoma cell line (LNCaP) or by DNaseI hypersensitive sites in cancer cell lines. We find a high degree of similarity between European and African American ancestries suggesting a similar genetic architecture from common variation underlying PrCa risk. Our findings showcase the power of integrating functional annotation with genetic data to understand the genetic basis of PrCa.


Assuntos
Afro-Americanos , Epigênese Genética , Grupo com Ancestrais do Continente Europeu , Predisposição Genética para Doença , Padrões de Herança , Neoplasias da Próstata/genética , Acetilação , Atlas como Assunto , Linhagem Celular Tumoral , Loci Gênicos , Estudo de Associação Genômica Ampla , Histonas/genética , Histonas/metabolismo , Humanos , Desequilíbrio de Ligação , Masculino , Polimorfismo de Nucleotídeo Único , Neoplasias da Próstata/etnologia , Neoplasias da Próstata/patologia
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