Browsing by Author "Caporaso, Neil E"
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Publication Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome(Nature Publishing Group, 2016) Machiela, Mitchell J; Zhou, Weiyin; Karlins, Eric; Sampson, Joshua N; Freedman, Neal D; Yang, Qi; Hicks, Belynda; Dagnall, Casey; Hautman, Christopher; Jacobs, Kevin B; Abnet, Christian C; Aldrich, Melinda C; Amos, Christopher; Amundadottir, Laufey T; Arslan, Alan A; Beane-Freeman, Laura E; Berndt, Sonja I; Black, Amanda; Blot, William J; Bock, Cathryn H; Bracci, Paige M; Brinton, Louise A; Bueno-de-Mesquita, H Bas; Burdett, Laurie; Buring, Julie E; Butler, Mary A; Canzian, Federico; Carreón, Tania; Chaffee, Kari G; Chang, I-Shou; Chatterjee, Nilanjan; Chen, Chu; Chen, Constance; Chen, Kexin; Chung, Charles C; Cook, Linda S; Crous Bou, Marta; Cullen, Michael; Davis, Faith G; De Vivo, Immaculata; Ding, Ti; Doherty, Jennifer; Duell, Eric J; Epstein, Caroline G; Fan, Jin-Hu; Figueroa, Jonine D; Fraumeni, Joseph F; Friedenreich, Christine M; Fuchs, Charles S; Gallinger, Steven; Gao, Yu-Tang; Gapstur, Susan M; Garcia-Closas, Montserrat; Gaudet, Mia M; Gaziano, J Michael; Giles, Graham G; Gillanders, Elizabeth M; Giovannucci, Edward L; Goldin, Lynn; Goldstein, Alisa M; Haiman, Christopher A; Hallmans, Goran; Hankinson, Susan E; Harris, Curtis C; Henriksson, Roger; Holly, Elizabeth A; Hong, Yun-Chul; Hoover, Robert N; Hsiung, Chao A; Hu, Nan; Hu, Wei; Hunter, David J; Hutchinson, Amy; Jenab, Mazda; Johansen, Christoffer; Khaw, Kay-Tee; Kim, Hee Nam; Kim, Yeul Hong; Kim, Young Tae; Klein, Alison P; Klein, Robert; Koh, Woon-Puay; Kolonel, Laurence N; Kooperberg, Charles; Kraft, Peter; Krogh, Vittorio; Kurtz, Robert C; LaCroix, Andrea; Lan, Qing; Landi, Maria Teresa; Marchand, Loic Le; Li, Donghui; Liang, Xiaolin; Liao, Linda M; Lin, Dongxin; Liu, Jianjun; Lissowska, Jolanta; Lu, Lingeng; Magliocco, Anthony M; Malats, Nuria; Matsuo, Keitaro; McNeill, Lorna H; McWilliams, Robert R; Melin, Beatrice S; Mirabello, Lisa; Moore, Lee; Olson, Sara H; Orlow, Irene; Park, Jae Yong; Patiño-Garcia, Ana; Peplonska, Beata; Peters, Ulrike; Petersen, Gloria M; Pooler, Loreall; Prescott, Jennifer; Prokunina-Olsson, Ludmila; Purdue, Mark P; Qiao, You-Lin; Rajaraman, Preetha; Real Arribas, Francisco; Riboli, Elio; Risch, Harvey A; Rodriguez-Santiago, Benjamin; Ruder, Avima M; Savage, Sharon A; Schumacher, Fredrick; Schwartz, Ann G; Schwartz, Kendra L; Seow, Adeline; Wendy Setiawan, Veronica; Severi, Gianluca; Shen, Hongbing; Sheng, Xin; Shin, Min-Ho; Shu, Xiao-Ou; Silverman, Debra T; Spitz, Margaret R; Stevens, Victoria L; Stolzenberg-Solomon, Rachael; Stram, Daniel; Tang, Ze-Zhong; Taylor, Philip R; Teras, Lauren R; Tobias, Geoffrey S; Van Den Berg, David; Visvanathan, Kala; Wacholder, Sholom; Wang, Jiu-Cun; Wang, Zhaoming; Wentzensen, Nicolas; Wheeler, William; White, Emily; Wiencke, John K; Wolpin, Brian M; Wong, Maria Pik; Wu, Chen; Wu, Tangchun; Wu, Xifeng; Wu, Yi-Long; Wunder, Jay S; Xia, Lucy; Yang, Hannah P; Yang, Pan-Chyr; Yu, Kai; Zanetti, Krista A; Zeleniuch-Jacquotte, Anne; Zheng, Wei; Zhou, Baosen; Ziegler, Regina G; Perez-Jurado, Luis A; Caporaso, Neil E; Rothman, Nathaniel; Tucker, Margaret; Dean, Michael C; Yeager, Meredith; Chanock, Stephen J; National High-Tech Research and Development Program (China); Fred Hutchinson Cancer Research Center; Fudan Lung Cancer Study Ministry of Health; National Science Foundation (China); Agency for Science, Technology and Research (Singapur); National Science Council (China); National Institutes of Health (Estados Unidos); National Research Foundation of Korea; Ministry of Science, ICT and Future Planning (Korea)To investigate large structural clonal mosaicism of chromosome X, we analysed the SNP microarray intensity data of 38,303 women from cancer genome-wide association studies (20,878 cases and 17,425 controls) and detected 124 mosaic X events >2 Mb in 97 (0.25%) women. Here we show rates for X-chromosome mosaicism are four times higher than mean autosomal rates; X mosaic events more often include the entire chromosome and participants with X events more likely harbour autosomal mosaic events. X mosaicism frequency increases with age (0.11% in 50-year olds; 0.45% in 75-year olds), as reported for Y and autosomes. Methylation array analyses of 33 women with X mosaicism indicate events preferentially involve the inactive X chromosome. Our results provide further evidence that the sex chromosomes undergo mosaic events more frequently than autosomes, which could have implications for understanding the underlying mechanisms of mosaic events and their possible contribution to risk for chronic diseases.Publication Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21.(Impact Journals, 2016-10-11) Zhang, Mingfeng; Wang, Zhaoming; Obazee, Ofure; Jia, Jinping; Childs, Erica J; Hoskins, Jason; Figlioli, Gisella; Mocci, Evelina; Collins, Irene; Chung, Charles C; Hautman, Christopher; Arslan, Alan A; Beane-Freeman, Laura; Bracci, Paige M; Buring, Julie; Duell, Eric J; Gallinger, Steven; Giles, Graham G; Goodman, Gary E; Goodman, Phyllis J; Kamineni, Aruna; Kolonel, Laurence N; Kulke, Matthew H; Malats, Núria; Olson, Sara H; Sesso, Howard D; Visvanathan, Kala; White, Emily; Zheng, Wei; Abnet, Christian C; Albanes, Demetrius; Andreotti, Gabriella; Brais, Lauren; Bueno-de-Mesquita, H Bas; Basso, Daniela; Berndt, Sonja I; Boutron-Ruault, Marie-Christine; Bijlsma, Maarten F; Brenner, Hermann; Burdette, Laurie; Campa, Daniele; Caporaso, Neil E; Capurso, Gabriele; Cavestro, Giulia Martina; Cotterchio, Michelle; Costello, Eithne; Elena, Joanne; Boggi, Ugo; Gaziano, J Michael; Gazouli, Maria; Giovannucci, Edward L; Goggins, Michael; Gross, Myron; Haiman, Christopher A; Hassan, Manal; Helzlsouer, Kathy J; Hu, Nan; Hunter, David J; Iskierka-Jazdzewska, Elzbieta; Jenab, Mazda; Kaaks, Rudolf; Key, Timothy J; Khaw, Kay-Tee; Klein, Eric A; Kogevinas, Manolis; Krogh, Vittorio; Kupcinskas, Juozas; Kurtz, Robert C; Landi, Maria T; Landi, Stefano; Le Marchand, Loic; Mambrini, Andrea; Mannisto, Satu; Milne, Roger L; Neale, Rachel E; Oberg, Ann L; Panico, Salvatore; Patel, Alpa V; Peeters, Petra H M; Peters, Ulrike; Pezzilli, Raffaele; Porta, Miquel; Purdue, Mark; Quiros, J Ramón; Riboli, Elio; Rothman, Nathaniel; Scarpa, Aldo; Scelo, Ghislaine; Shu, Xiao-Ou; Silverman, Debra T; Soucek, Pavel; Strobel, Oliver; Sund, Malin; Małecka-Panas, Ewa; Taylor, Philip R; Tavano, Francesca; Travis, Ruth C; Thornquist, Mark; Tjønneland, Anne; Tobias, Geoffrey S; Trichopoulos, Dimitrios; Vashist, Yogesh; Vodicka, Pavel; Wactawski-Wende, Jean; Wentzensen, Nicolas; Yu, Herbert; Yu, Kai; Zeleniuch-Jacquotte, Anne; Kooperberg, Charles; Risch, Harvey A; Jacobs, Eric J; Li, Donghui; Fuchs, Charles; Hoover, Robert; Hartge, Patricia; Chanock, Stephen J; Petersen, Gloria M; Stolzenberg-Solomon, Rachael S; Wolpin, Brian M; Kraft, Peter; Klein, Alison P; Canzian, Federico; Amundadottir, Laufey T; Cancer Research UK (Reino Unido); Medical Research Council (Reino Unido); National Institute for Health Research (Reino Unido)Genome-wide association studies (GWAS) have identified common pancreatic cancer susceptibility variants at 13 chromosomal loci in individuals of European descent. To identify new susceptibility variants, we performed imputation based on 1000 Genomes (1000G) Project data and association analysis using 5,107 case and 8,845 control subjects from 27 cohort and case-control studies that participated in the PanScan I-III GWAS. This analysis, in combination with a two-staged replication in an additional 6,076 case and 7,555 control subjects from the PANcreatic Disease ReseArch (PANDoRA) and Pancreatic Cancer Case-Control (PanC4) Consortia uncovered 3 new pancreatic cancer risk signals marked by single nucleotide polymorphisms (SNPs) rs2816938 at chromosome 1q32.1 (per allele odds ratio (OR) = 1.20, P = 4.88x10 -15), rs10094872 at 8q24.21 (OR = 1.15, P = 3.22x10 -9) and rs35226131 at 5p15.33 (OR = 0.71, P = 1.70x10 -8). These SNPs represent independent risk variants at previously identified pancreatic cancer risk loci on chr1q32.1 ( NR5A2), chr8q24.21 ( MYC) and chr5p15.33 ( CLPTM1L- TERT) as per analyses conditioned on previously reported susceptibility variants. We assessed expression of candidate genes at the three risk loci in histologically normal ( n = 10) and tumor ( n = 8) derived pancreatic tissue samples and observed a marked reduction of NR5A2 expression (chr1q32.1) in the tumors (fold change -7.6, P = 5.7x10 -8). This finding was validated in a second set of paired ( n = 20) histologically normal and tumor derived pancreatic tissue samples (average fold change for three NR5A2 isoforms -31.3 to -95.7, P = 7.5x10 -4-2.0x10 -3). Our study has identified new susceptibility variants independently conferring pancreatic cancer risk that merit functional follow-up to identify target genes and explain the underlying biology.Publication Winner's Curse Correction and Variable Thresholding Improve Performance of Polygenic Risk Modeling Based on Genome-Wide Association Study Summary-Level Data(Public Library of Science (PLOS), 2016-12) Shi, Jianxin; Park, Ju-Hyun; Duan, Jubao; Berndt, Sonja T; Moy, Winton; Yu, Kai; Song, Lei; Wheeler, William; Hua, Xing; Silverman, Debra; Garcia-Closas, Montserrat; Hsiung, Chao Agnes; Figueroa, Jonine D; Cortessis, Victoria K; Malats, Nuria; Karagas, Margaret R; Vineis, Paolo; Chang, I-Shou; Lin, Dongxin; Zhou, Baosen; Seow, Adeline; Matsuo, Keitaro; Hong, Yun-Chul; Caporaso, Neil E; Wolpin, Brian; Jacobs, Eric; Petersen, Gloria M; Klein, Alison P; Li, Donghui; Risch, Harvey; Sanders, Alan R; Hsu, Li; Schoen, Robert E; Brenner, Hermann; Stolzenberg-Solomon, Rachael; Gejman, Pablo; Lan, Qing; Rothman, Nathaniel; Amundadottir, Laufey T; Landi, Maria Teresa; Levinson, Douglas F; Chanock, Stephen J; Chatterjee, Nilanjan; NIH - National Cancer Institute (NCI) (Estados Unidos); Deutsche Forschungsgemeinschaft (Alemania); Federal Ministry of Education & Research (Alemania); NIH - National Heart, Lung, and Blood Institute (NHLBI) (Estados Unidos)Recent heritability analyses have indicated that genome-wide association studies (GWAS) have the potential to improve genetic risk prediction for complex diseases based on polygenic risk score (PRS), a simple modelling technique that can be implemented using summary-level data from the discovery samples. We herein propose modifications to improve the performance of PRS. We introduce threshold-dependent winner's-curse adjustments for marginal association coefficients that are used to weight the single-nucleotide polymorphisms (SNPs) in PRS. Further, as a way to incorporate external functional/annotation knowledge that could identify subsets of SNPs highly enriched for associations, we propose variable thresholds for SNPs selection. We applied our methods to GWAS summary-level data of 14 complex diseases. Across all diseases, a simple winner's curse correction uniformly led to enhancement of performance of the models, whereas incorporation of functional SNPs was beneficial only for selected diseases. Compared to the standard PRS algorithm, the proposed methods in combination led to notable gain in efficiency (25-50% increase in the prediction R2) for 5 of 14 diseases. As an example, for GWAS of type 2 diabetes, winner's curse correction improved prediction R2 from 2.29% based on the standard PRS to 3.10% (P = 0.0017) and incorporating functional annotation data further improved R2 to 3.53% (P = 2×10-5). Our simulation studies illustrate why differential treatment of certain categories of functional SNPs, even when shown to be highly enriched for GWAS-heritability, does not lead to proportionate improvement in genetic risk-prediction because of non-uniform linkage disequilibrium structure.