Figueroa Jonine D, Middlebrooks Candace D, Banday A Rouf, Ye Yuanqing, Garcia-Closas Montserrat, Chatterjee Nilanjan, Koutros Stella, Kiemeney Lambertus A, Rafnar Thorunn, Bishop Timothy, Furberg Helena, Matullo Giuseppe, Golka Klaus, Gago-Dominguez Manuela, Taylor Jack A, Fletcher Tony, Siddiq Afshan, Cortessis Victoria K, Kooperberg Charles, Cussenot Olivier, Benhamou Simone, Prescott Jennifer, Porru Stefano, Dinney Colin P, Malats Núria, Baris Dalsu, Purdue Mark P, Jacobs Eric J, Albanes Demetrius, Wang Zhaoming, Chung Charles C, Vermeulen Sita H, Aben Katja K, Galesloot Tessel E, Thorleifsson Gudmar, Sulem Patrick, Stefansson Kari, Kiltie Anne E, Harland Mark, Teo Mark, Offit Kenneth, Vijai Joseph, Bajorin Dean, Kopp Ryan, Fiorito Giovanni, Guarrera Simonetta, Sacerdote Carlotta, Selinski Silvia, Hengstler Jan G, Gerullis Holger, Ovsiannikov Daniel, Blaszkewicz Meinolf, Castelao Jose Esteban, Calaza Manuel, Martinez Maria Elena, Cordeiro Patricia, Xu Zongli, Panduri Vijayalakshmi, Kumar Rajiv, Gurzau Eugene, Koppova Kvetoslava, Bueno-De-Mesquita H Bas, Ljungberg Börje, Clavel-Chapelon Françoise, Weiderpass Elisabete, Krogh Vittorio, Dorronsoro Miren, Travis Ruth C, Tjønneland Anne, Brennan Paul, Chang-Claude Jenny, Riboli Elio, Conti David, Stern Marianna C, Pike Malcolm C, Van Den Berg David, Yuan Jian-Min, Hohensee Chancellor, Jeppson Rebecca P, Cancel-Tassin Geraldine, Roupret Morgan, Comperat Eva, Turman Constance, De Vivo Immaculata, Giovannucci Edward, Hunter David J, Kraft Peter, Lindstrom Sara, Carta Angela, Pavanello Sofia, Arici Cecilia, Mastrangelo Giuseppe, Kamat Ashish M, Zhang Liren, Gong Yilei, Pu Xia, Hutchinson Amy, Burdett Laurie, Wheeler William A, Karagas Margaret R, Johnson Alison, Schned Alan, Monawar Hosain G M, Schwenn Molly, Kogevinas Manolis, Tardón Adonina, Serra Consol, Carrato Alfredo, García-Closas Reina, Lloreta Josep, Andriole Gerald, Grubb Robert, Black Amanda, Diver W Ryan, Gapstur Susan M, Weinstein Stephanie, Virtamo Jarmo, Haiman Christopher A, Landi Maria Teresa, Caporaso Neil E, Fraumeni Joseph F, Vineis Paolo, Wu Xifeng, Chanock Stephen J, Silverman Debra T, Prokunina-Olsson Ludmila, Rothman Nathaniel
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA, Usher Institute of Population Health Sciences and Informatics, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK,
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Hum Mol Genet. 2016 Mar 15;25(6):1203-14. doi: 10.1093/hmg/ddv492. Epub 2016 Jan 4.
Candidate gene and genome-wide association studies (GWAS) have identified 15 independent genomic regions associated with bladder cancer risk. In search for additional susceptibility variants, we followed up on four promising single-nucleotide polymorphisms (SNPs) that had not achieved genome-wide significance in 6911 cases and 11 814 controls (rs6104690, rs4510656, rs5003154 and rs4907479, P < 1 × 10(-6)), using additional data from existing GWAS datasets and targeted genotyping for studies that did not have GWAS data. In a combined analysis, which included data on up to 15 058 cases and 286 270 controls, two SNPs achieved genome-wide statistical significance: rs6104690 in a gene desert at 20p12.2 (P = 2.19 × 10(-11)) and rs4907479 within the MCF2L gene at 13q34 (P = 3.3 × 10(-10)). Imputation and fine-mapping analyses were performed in these two regions for a subset of 5551 bladder cancer cases and 10 242 controls. Analyses at the 13q34 region suggest a single signal marked by rs4907479. In contrast, we detected two signals in the 20p12.2 region-the first signal is marked by rs6104690, and the second signal is marked by two moderately correlated SNPs (r(2) = 0.53), rs6108803 and the previously reported rs62185668. The second 20p12.2 signal is more strongly associated with the risk of muscle-invasive (T2-T4 stage) compared with non-muscle-invasive (Ta, T1 stage) bladder cancer (case-case P ≤ 0.02 for both rs62185668 and rs6108803). Functional analyses are needed to explore the biological mechanisms underlying these novel genetic associations with risk for bladder cancer.
候选基因研究和全基因组关联研究(GWAS)已确定了15个与膀胱癌风险相关的独立基因组区域。为了寻找其他易感变异,我们对4个有潜力的单核苷酸多态性(SNP)进行了后续研究,这4个SNP在6911例病例和11814例对照中未达到全基因组显著性水平(rs6104690、rs4510656、rs5003154和rs4907479,P < 1×10⁻⁶),我们使用了现有GWAS数据集的额外数据,并对没有GWAS数据的研究进行靶向基因分型。在一项综合分析中,该分析纳入了多达15058例病例和286270例对照的数据,两个SNP达到了全基因组统计学显著性:位于20p12.2基因荒漠区域的rs6104690(P = 2.19×10⁻¹¹)和位于13q34的MCF2L基因内的rs4907479(P = 3.3×10⁻¹⁰)。对5551例膀胱癌病例和10242例对照的子集在这两个区域进行了归因和精细定位分析。13q34区域的分析表明由rs4907479标记的单一信号。相比之下,我们在20p12.2区域检测到两个信号——第一个信号由rs6104690标记,第二个信号由两个中度相关的SNP(r² = 0.53)标记,即rs6108803和先前报道的rs62185668。与非肌层浸润性(Ta、T1期)膀胱癌相比,20p12.2区域的第二个信号与肌层浸润性(T2 - T4期)膀胱癌风险的相关性更强(rs62185668和rs6108803的病例 - 病例P均≤0.02)。需要进行功能分析以探索这些与膀胱癌风险的新遗传关联背后的生物学机制。