31 results on '"Klein A.P."'
Search Results
2. Rare variant analyses across multiethnic cohorts identify novel genes for refractive error.
- Author
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Musolf, A.M., Haarman, A.E.G., Luben, R.N., Ong, J.S., Patasova, K., Trapero, R.H., Marsh, J., Jain, I., Jain, R., Wang, P.Z., Lewis, D.D., Tedja, M.S., Iglesias, A.I., Li, Hengtong, Cowan, C.S., Biino, G., Klein, A.P., Duggal, P., Mackey, D.A., Hayward, C., Haller, T., Metspalu, A., Wedenoja, J., Pärssinen, O., Cheng, C.Y., Saw, S.M., Stambolian, D., Hysi, P.G., Khawaja, A.P., Vitart, V., Hammond, C.J., Duijn, C.M. van, Verhoeven, V.J.M., Klaver, C.C.W., Bailey-Wilson, J.E., Musolf, A.M., Haarman, A.E.G., Luben, R.N., Ong, J.S., Patasova, K., Trapero, R.H., Marsh, J., Jain, I., Jain, R., Wang, P.Z., Lewis, D.D., Tedja, M.S., Iglesias, A.I., Li, Hengtong, Cowan, C.S., Biino, G., Klein, A.P., Duggal, P., Mackey, D.A., Hayward, C., Haller, T., Metspalu, A., Wedenoja, J., Pärssinen, O., Cheng, C.Y., Saw, S.M., Stambolian, D., Hysi, P.G., Khawaja, A.P., Vitart, V., Hammond, C.J., Duijn, C.M. van, Verhoeven, V.J.M., Klaver, C.C.W., and Bailey-Wilson, J.E.
- Abstract
Item does not contain fulltext, Refractive error, measured here as mean spherical equivalent (SER), is a complex eye condition caused by both genetic and environmental factors. Individuals with strong positive or negative values of SER require spectacles or other approaches for vision correction. Common genetic risk factors have been identified by genome-wide association studies (GWAS), but a great part of the refractive error heritability is still missing. Some of this heritability may be explained by rare variants (minor allele frequency [MAF] ≤ 0.01.). We performed multiple gene-based association tests of mean Spherical Equivalent with rare variants in exome array data from the Consortium for Refractive Error and Myopia (CREAM). The dataset consisted of over 27,000 total subjects from five cohorts of Indo-European and Eastern Asian ethnicity. We identified 129 unique genes associated with refractive error, many of which were replicated in multiple cohorts. Our best novel candidates included the retina expressed PDCD6IP, the circadian rhythm gene PER3, and P4HTM, which affects eye morphology. Future work will include functional studies and validation. Identification of genes contributing to refractive error and future understanding of their function may lead to better treatment and prevention of refractive errors, which themselves are important risk factors for various blinding conditions.
- Published
- 2023
3. Somatic loss of ATM is a late event in pancreatic tumorigenesis.
- Author
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Paranal, R.M., Jiang, Z., Hutchings, D., Kryklyva, V., Gauthier, C., Fujikura, K., Nanda, N., Huang, B., Skaro, M., Wolfgang, C.L., He, J., Klimstra, D.S., Brand, R.E., Singhi, A.D., DeMarzo, A., Zheng, Lei, Goggins, M., Brosens, L.A., Hruban, R.H., Klein, A.P., Lotan, T., Wood, L.D., Roberts, N.J., Paranal, R.M., Jiang, Z., Hutchings, D., Kryklyva, V., Gauthier, C., Fujikura, K., Nanda, N., Huang, B., Skaro, M., Wolfgang, C.L., He, J., Klimstra, D.S., Brand, R.E., Singhi, A.D., DeMarzo, A., Zheng, Lei, Goggins, M., Brosens, L.A., Hruban, R.H., Klein, A.P., Lotan, T., Wood, L.D., and Roberts, N.J.
- Abstract
01 augustus 2023, Item does not contain fulltext, Understanding the timing and spectrum of genetic alterations that contribute to the development of pancreatic cancer is essential for effective interventions and treatments. The aim of this study was to characterize somatic ATM alterations in noninvasive pancreatic precursor lesions and invasive pancreatic adenocarcinomas from patients with and without pathogenic germline ATM variants. DNA was isolated and sequenced from the invasive pancreatic ductal adenocarcinomas and precursor lesions of patients with a pathogenic germline ATM variant. Tumor and precursor lesions from these patients as well as colloid carcinoma from patients without a germline ATM variant were immunolabeled to assess ATM expression. Among patients with a pathogenic germline ATM variant, somatic ATM alterations, either mutations and/or loss of protein expression, were identified in 75.0% of invasive pancreatic adenocarcinomas but only 7.1% of pancreatic precursor lesions. Loss of ATM expression was also detected in 31.0% of colloid carcinomas from patients unselected for germline ATM status, significantly higher than in pancreatic precursor lesions [pancreatic intraepithelial neoplasms (p = 0.0013); intraductal papillary mucinous neoplasms, p = 0.0040] and pancreatic ductal adenocarcinoma (p = 0.0076) unselected for germline ATM status. These data are consistent with the second hit to ATM being a late event in pancreatic tumorigenesis. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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- 2023
4. The age-dependent association of risk factors with pancreatic cancer
- Author
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Yuan, C., primary, Kim, J., additional, Wang, Q.L., additional, Lee, A.A., additional, Babic, A., additional, Amundadottir, L.T., additional, Klein, A.P., additional, Li, D., additional, McCullough, M.L., additional, Petersen, G.M., additional, Risch, H.A., additional, Stolzenberg-Solomon, R.Z., additional, Perez, K., additional, Ng, K., additional, Giovannucci, E.L., additional, Stampfer, M.J., additional, Kraft, P., additional, Wolpin, B.M., additional, Ardanaz, E., additional, Arslan, A.A., additional, Beane-Freeman, L.E., additional, Bracci, P.M., additional, Bueno-de-Mesquita, B., additional, Du, M., additional, Gallinger, S., additional, Giles, G.G., additional, Goodman, P.J., additional, Katzke, V.A., additional, Kooperberg, C., additional, Malats, N., additional, Marchand, L.L., additional, Milne, R.L., additional, Neoptolemos, J.P., additional, Perdomo, S., additional, Shu, X.O., additional, Van Den Eeden, S.K., additional, Visvanathan, K., additional, White, E., additional, and Zheng, W., additional
- Published
- 2022
- Full Text
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5. Smoking modifies pancreatic cancer risk loci on 2q21.3
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Mocci, E. Kundu, P. Wheeler, W. Arslan, A.A. Beane-Freeman, L.E. Bracci, P.M. Brennan, P. Canzian, F. Du, M. Gallinger, S. Giles, G.G. Goodman, P.J. Kooperberg, C. Le Marchand, L. Neale, R.E. Shu, X.-O. Visvanathan, K. White, E. Zheng, W. Albanes, D. Andreotti, G. Babic, A. Bamlet, W.R. Berndt, S.I. Blackford, A.L. Bueno-De-Mesquita, B. Buring, J.E. Campa, D. Chanock, S.J. Childs, E.J. Duell, E.J. Fuchs, C.S. Gaziano, J.M. Giovannucci, E.L. Goggins, M.G. Hartge, P. Hassan, M.M. Holly, E.A. Hoover, R.N. Hung, R.J. Kurtz, R.C. Lee, I.-M. Malats, N. Milne, R.L. Ng, K. Oberg, A.L. Panico, S. Peters, U. Porta, M. Rabe, K.G. Riboli, E. Rothman, N. Scelo, G. Sesso, H.D. Silverman, D.T. Stevens, V.L. Strobel, O. Thompson, I.M., Jr. Tjonneland, A. Trichopoulou, A. van Den Eeden, S.K. Wactawski-Wende, J. Wentzensen, N. Wilkens, L.R. Yu, H. Yuan, F. Zeleniuch-Jacquotte, A. Amundadottir, L.T. Li, D. Jacobs, E.J. Petersen, G.M. Wolpin, B.M. Risch, H.A. Kraft, P. Chatterjee, N. Klein, A.P. Stolzenberg-Solomon, R. and Mocci, E. Kundu, P. Wheeler, W. Arslan, A.A. Beane-Freeman, L.E. Bracci, P.M. Brennan, P. Canzian, F. Du, M. Gallinger, S. Giles, G.G. Goodman, P.J. Kooperberg, C. Le Marchand, L. Neale, R.E. Shu, X.-O. Visvanathan, K. White, E. Zheng, W. Albanes, D. Andreotti, G. Babic, A. Bamlet, W.R. Berndt, S.I. Blackford, A.L. Bueno-De-Mesquita, B. Buring, J.E. Campa, D. Chanock, S.J. Childs, E.J. Duell, E.J. Fuchs, C.S. Gaziano, J.M. Giovannucci, E.L. Goggins, M.G. Hartge, P. Hassan, M.M. Holly, E.A. Hoover, R.N. Hung, R.J. Kurtz, R.C. Lee, I.-M. Malats, N. Milne, R.L. Ng, K. Oberg, A.L. Panico, S. Peters, U. Porta, M. Rabe, K.G. Riboli, E. Rothman, N. Scelo, G. Sesso, H.D. Silverman, D.T. Stevens, V.L. Strobel, O. Thompson, I.M., Jr. Tjonneland, A. Trichopoulou, A. van Den Eeden, S.K. Wactawski-Wende, J. Wentzensen, N. Wilkens, L.R. Yu, H. Yuan, F. Zeleniuch-Jacquotte, A. Amundadottir, L.T. Li, D. Jacobs, E.J. Petersen, G.M. Wolpin, B.M. Risch, H.A. Kraft, P. Chatterjee, N. Klein, A.P. Stolzenberg-Solomon, R.
- Abstract
Germline variation and smoking are independently associated with pancreatic ductal adenocarcinoma (PDAC). We conducted genome-wide smoking interaction analysis of PDAC using genotype data from four previous genome-wide association studies in individuals of European ancestry (7,937 cases and 11,774 controls). Examination of expression quantitative trait loci data from the Genotype-Tissue Expression Project followed by colocalization analysis was conducted to determine whether there was support for common SNP(s) underlying the observed associations. Statistical tests were two sided and P < 5 10-8 was considered statistically significant. Genome-wide significant evidence of qualitative interaction was identified on chr2q21.3 in intron 5 of the transmembrane protein 163 (TMEM163) and upstream of the cyclin T2 (CCNT2). The most significant SNP using the Empirical Bayes method, in this region that included 45 significantly associated SNPs, was rs1818613 [per allele OR in never smokers 0.87, 95% confidence interval (CI), 0.82-0.93; former smokers 1.00, 95% CI, 0.91-1.07; current smokers 1.25, 95% CI 1.12-1.40, Pinteraction ¼ 3.08 10-9). Examination of the Genotype-Tissue Expression Project data demonstrated an expression quantitative trait locus in this region for TMEM163 and CCNT2 in several tissue types. Colocalization analysis supported a shared SNP, rs842357, in high linkage disequilibrium with rs1818613 (r2 ¼ 0. 94) driving both the observed interaction and the expression quantitative trait loci signals. Future studies are needed to confirm and understand the differential biologic mechanisms by smoking status that contribute to our PDAC findings. © 2021 American Association for Cancer Research.
- Published
- 2021
6. Mendelian randomization analysis of n-6 polyunsaturated fatty acid levels and pancreatic cancer risk.
- Author
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Ghoneim D.H., Zhu J., Zheng W., Long J., Murff H.J., Ye F., Setiawan V.W., Wilkens L.R., Khankari N.K., Haycock P., Antwi S.O., Yang Y., Arslan A.A., Freeman L.E.B., Bracci P.M., Canzian F., Du M., Gallinger S., Giles G.G., Goodman P.J., Kooperberg C., Marchand L.L., Neale R.E., Scelo G., Visvanathan K., White E., Albane D., Amiano P., Andreott G., Babic A., Bamlet W.R., Berndt S.I., Brais L.K., Brennan P., Bueno-De-Mesquita B., Buring J.E., Campbell P.T., Rabe K.G., Chanock S.J., Duggal P., Fuchs C.S., Gaziano J.M., Goggins M.G., Hackert T., Hassan M.M., Helzlsouer K.J., Holly E.A., Hoover R.N., Katske V., Kurtz R.C., Lee I.-M., Malats N., Milne R.L., Murphy N., Oberg A.L., Porta M., Rothman N., Sesso H.D., Silverman D.T., Ian T., Wactawski-Wende J., Wang X., Wentzensen N., Yu H., Zeleniuch-Jacquotte A., Yu K., Wolpin B.M., Jacobs E.J., Duell E.J., Risch H.A., Petersen G.M., Amundadottir L.T., Kraft P., Klein A.P., Stolzenberg-Solomon R.Z., Shu X.-O., Wu L., Ghoneim D.H., Zhu J., Zheng W., Long J., Murff H.J., Ye F., Setiawan V.W., Wilkens L.R., Khankari N.K., Haycock P., Antwi S.O., Yang Y., Arslan A.A., Freeman L.E.B., Bracci P.M., Canzian F., Du M., Gallinger S., Giles G.G., Goodman P.J., Kooperberg C., Marchand L.L., Neale R.E., Scelo G., Visvanathan K., White E., Albane D., Amiano P., Andreott G., Babic A., Bamlet W.R., Berndt S.I., Brais L.K., Brennan P., Bueno-De-Mesquita B., Buring J.E., Campbell P.T., Rabe K.G., Chanock S.J., Duggal P., Fuchs C.S., Gaziano J.M., Goggins M.G., Hackert T., Hassan M.M., Helzlsouer K.J., Holly E.A., Hoover R.N., Katske V., Kurtz R.C., Lee I.-M., Malats N., Milne R.L., Murphy N., Oberg A.L., Porta M., Rothman N., Sesso H.D., Silverman D.T., Ian T., Wactawski-Wende J., Wang X., Wentzensen N., Yu H., Zeleniuch-Jacquotte A., Yu K., Wolpin B.M., Jacobs E.J., Duell E.J., Risch H.A., Petersen G.M., Amundadottir L.T., Kraft P., Klein A.P., Stolzenberg-Solomon R.Z., Shu X.-O., and Wu L.
- Abstract
Background: Whether circulating polyunsaturated fatty acid (PUFA) levels are associated with pancreatic cancer risk is uncertain. Mendelian randomization (MR) represents a study design using genetic instruments to better characterize the relationship between exposure and outcome. Method(s): We utilized data from genome-wide association studies within the Pancreatic Cancer Cohort Consortium and Pancreatic Cancer Case-Control Consortium, involving approximately 9,269 cases and 12,530 controls of European descent, to evaluate associations between pancreatic cancer risk and genetically predicted plasma n-6 PUFA levels. Conventional MR analyses were performed using individual-level and summary-level data. Result(s): Using genetic instruments, we did not find evidence of associations between genetically predicted plasma n-6 PUFA levels and pancreatic cancer risk [estimates per one SD increase in each PUFA-specific weighted genetic score using summary statistics: Linoleic acid odds ratio (OR)1.00, 95% confidence interval (CI) 0.98-1.02; arachidonic acid OR 1.00, 95% CI 0.99-1.01; and dihomo-gamma-linolenic acid OR 0.95, 95% CI 0.87-1.02]. The OR estimates remained virtually unchanged after adjustment for covariates, using individual-level data or summary statistics, or stratification by age and sex. Conclusion(s): Our results suggest that variations of genetically determined plasma n-6 PUFA levels are not associated with pancreatic cancer risk. Impact: These results suggest that modifying n-6 PUFA levels through food sources or supplementation may not influence risk of pancreatic cancer.Copyright © 2020 American Association for Cancer Research Inc.. All rights reserved.
- Published
- 2021
7. Genome-wide genediabetes and geneobesity interaction scan in 8,255 cases and 11,900 controls from panscan and PanC4 consortia.
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Campa D., Goodman P.J., Kooperberg C., Le Marchand L., Neale R.E., Shu X.-O., Visvanathan K., White E., Zheng W., Albanes D., Andreotti G., Babic A., Bamlet W.R., Berndt S.I., Blackford A., Bueno-De-Mesquita B., Buring J.E., Chanock S.J., Childs E., Duell E.J., Fuchs C., Michael Gaziano J., Goggins M., Hartge P., Hassam M.H., Holly E.A., Hoover R.N., Hung R.J., Kurtz R.C., Lee I.-M., Malats N., Milne R.L., Ng K., Oberg A.L., Orlow I., Peters U., Porta M., Rabe K.G., Rothman N., Scelo G., Sesso H.D., Silverman D.T., Thompson I.M., Tjonneland A., Trichopoulou A., Wactawski-Wende J., Wentzensen N., Wilkens L.R., Yu H., Zeleniuch-Jacquotte A., Amundadottir L.T., Jacobs E.J., Petersen G.M., Wolpin B.M., Risch H.A., Chatterjee N., Klein A.P., Li D., Kraft P., Wei P., Tang H., Jiang L., Stolzenberg-Solomon R.Z., Arslan A.A., Beane Freeman L.E., Bracci P.M., Brennan P., Canzian F., Du M., Gallinger S., Giles G.G., Campa D., Goodman P.J., Kooperberg C., Le Marchand L., Neale R.E., Shu X.-O., Visvanathan K., White E., Zheng W., Albanes D., Andreotti G., Babic A., Bamlet W.R., Berndt S.I., Blackford A., Bueno-De-Mesquita B., Buring J.E., Chanock S.J., Childs E., Duell E.J., Fuchs C., Michael Gaziano J., Goggins M., Hartge P., Hassam M.H., Holly E.A., Hoover R.N., Hung R.J., Kurtz R.C., Lee I.-M., Malats N., Milne R.L., Ng K., Oberg A.L., Orlow I., Peters U., Porta M., Rabe K.G., Rothman N., Scelo G., Sesso H.D., Silverman D.T., Thompson I.M., Tjonneland A., Trichopoulou A., Wactawski-Wende J., Wentzensen N., Wilkens L.R., Yu H., Zeleniuch-Jacquotte A., Amundadottir L.T., Jacobs E.J., Petersen G.M., Wolpin B.M., Risch H.A., Chatterjee N., Klein A.P., Li D., Kraft P., Wei P., Tang H., Jiang L., Stolzenberg-Solomon R.Z., Arslan A.A., Beane Freeman L.E., Bracci P.M., Brennan P., Canzian F., Du M., Gallinger S., and Giles G.G.
- Abstract
Background: Obesity and diabetes are major modifiable risk factors for pancreatic cancer. Interactions between genetic variants and diabetes/obesity have not previously been comprehensively investigated in pancreatic cancer at the genome-wide level. Method(s): We conducted a gene-environment interaction (GxE) analysis including 8,255 cases and 11,900 controls from four pancreatic cancer genome-wide association study (GWAS) datasets (Pancreatic Cancer Cohort Consortium I-III and Pancreatic Cancer Case Control Consortium). Obesity (body mass index >=30 kg/m2) and diabetes (duration >=3 years) were the environmental variables of interest. Approximately 870,000 SNPs (minor allele frequency >=0.005, genotyped in at least one dataset) were analyzed. Case-control (CC), case-only (CO), and joint-effect test methods were used for SNP-level GxE analysis. As a complementary approach, gene-based GxE analysis was also performed. Age, sex, study site, and principal components accounting for population substructure were included as covariates. Meta-analysis was applied to combine individual GWAS summary statistics. Result(s): No genome-wide significant interactions (departures from a log-additive odds model) with diabetes or obesity were detected at the SNP level by the CC or CO approaches. The joint-effect test detected numerous genome-wide significant GxE signals in the GWAS main effects top hit regions, but the significance diminished after adjusting for the GWAS top hits. In the gene-based analysis, a significant interaction of diabetes with variants in the FAM63A (family with sequence similarity 63 member A) gene (significance threshold P < 1.25 106) was observed in the meta-analysis (PGxE 1/4 1.2 106, PJoint 1/4 4.2 107). Conclusion(s): This analysis did not find significant GxE interactions at the SNP level but found one significant interaction with diabetes at the gene level. A larger sample size might unveil additional genetic factors via GxE scans. Impact: This study may
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- 2021
8. Smoking modifies pancreatic cancer risk loci on 2q21.3.
- Author
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Mocci E., Kundu P., Wheeler W., Arslan A.A., Beane-Freeman L.E., Bracci P.M., Brennan P., Canzian F., Du M., Gallinger S., Giles G.G., Goodman P.J., Kooperberg C., Le Marchand L., Neale R.E., Shu X.-O., Visvanathan K., White E., Zheng W., Albanes D., Andreotti G., Babic A., Bamlet W.R., Berndt S.I., Blackford A.L., Bueno-De-Mesquita B., Buring J.E., Campa D., Chanock S.J., Childs E.J., Duell E.J., Fuchs C.S., Gaziano J.M., Giovannucci E.L., Goggins M.G., Hartge P., Hassan M.M., Holly E.A., Hoover R.N., Hung R.J., Kurtz R.C., Lee I.-M., Malats N., Milne R.L., Ng K., Oberg A.L., Panico S., Peters U., Porta M., Rabe K.G., Riboli E., Rothman N., Scelo G., Sesso H.D., Silverman D.T., Stevens V.L., Strobel O., Thompson I.M., Tjonneland A., Trichopoulou A., van Den Eeden S.K., Wactawski-Wende J., Wentzensen N., Wilkens L.R., Yu H., Yuan F., Zeleniuch-Jacquotte A., Amundadottir L.T., Li D., Jacobs E.J., Petersen G.M., Wolpin B.M., Risch H.A., Kraft P., Chatterjee N., Klein A.P., Stolzenberg-Solomon R., Mocci E., Kundu P., Wheeler W., Arslan A.A., Beane-Freeman L.E., Bracci P.M., Brennan P., Canzian F., Du M., Gallinger S., Giles G.G., Goodman P.J., Kooperberg C., Le Marchand L., Neale R.E., Shu X.-O., Visvanathan K., White E., Zheng W., Albanes D., Andreotti G., Babic A., Bamlet W.R., Berndt S.I., Blackford A.L., Bueno-De-Mesquita B., Buring J.E., Campa D., Chanock S.J., Childs E.J., Duell E.J., Fuchs C.S., Gaziano J.M., Giovannucci E.L., Goggins M.G., Hartge P., Hassan M.M., Holly E.A., Hoover R.N., Hung R.J., Kurtz R.C., Lee I.-M., Malats N., Milne R.L., Ng K., Oberg A.L., Panico S., Peters U., Porta M., Rabe K.G., Riboli E., Rothman N., Scelo G., Sesso H.D., Silverman D.T., Stevens V.L., Strobel O., Thompson I.M., Tjonneland A., Trichopoulou A., van Den Eeden S.K., Wactawski-Wende J., Wentzensen N., Wilkens L.R., Yu H., Yuan F., Zeleniuch-Jacquotte A., Amundadottir L.T., Li D., Jacobs E.J., Petersen G.M., Wolpin B.M., Risch H.A., Kraft P., Chatterjee N., Klein A.P., and Stolzenberg-Solomon R.
- Abstract
Germline variation and smoking are independently associated with pancreatic ductal adenocarcinoma (PDAC). We conducted genome-wide smoking interaction analysis of PDAC using genotype data from four previous genome-wide association studies in individuals of European ancestry (7,937 cases and 11,774 controls). Examination of expression quantitative trait loci data from the Genotype-Tissue Expression Project followed by colocalization analysis was conducted to determine whether there was support for common SNP(s) underlying the observed associations. Statistical tests were two sided and P < 5 10-8 was considered statistically significant. Genome-wide significant evidence of qualitative interaction was identified on chr2q21.3 in intron 5 of the transmembrane protein 163 (TMEM163) and upstream of the cyclin T2 (CCNT2). The most significant SNP using the Empirical Bayes method, in this region that included 45 significantly associated SNPs, was rs1818613 [per allele OR in never smokers 0.87, 95% confidence interval (CI), 0.82-0.93; former smokers 1.00, 95% CI, 0.91-1.07; current smokers 1.25, 95% CI 1.12-1.40, Pinteraction 1/4 3.08 10-9). Examination of the Genotype-Tissue Expression Project data demonstrated an expression quantitative trait locus in this region for TMEM163 and CCNT2 in several tissue types. Colocalization analysis supported a shared SNP, rs842357, in high linkage disequilibrium with rs1818613 (r2 1/4 0. 94) driving both the observed interaction and the expression quantitative trait loci signals. Future studies are needed to confirm and understand the differential biologic mechanisms by smoking status that contribute to our PDAC findings.Copyright © 2021 American Association for Cancer Research.
- Published
- 2021
9. Hepcidin-regulating iron metabolism genes and pancreatic ductal adenocarcinoma: a pathway analysis of genome-wide association studies.
- Author
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Julian-Serrano S., Yuan F., Wheeler W., Benyamin B., Machiela M.J., Arslan A.A., Beane-Freeman L.E., Bracci P.M., Duell E.J., Du M., Gallinger S., Giles G.G., Goodman P.J., Kooperberg C., Marchand L.L., Neale R.E., Shu X.-O., Van Den Eeden S.K., Visvanathan K., Zheng W., Albanes D., Andreotti G., Ardanaz E., Babic A., Berndt S.I., Brais L.K., Brennan P., Bueno-de-Mesquita B., Buring J.E., Chanock S.J., Childs E.J., Chung C.C., Fabianova E., Foretova L., Fuchs C.S., Gaziano J.M., Gentiluomo M., Giovannucci E.L., Goggins M.G., Hackert T., Hartge P., Hassan M.M., Holcatova I., Holly E.A., Hung R.I., Janout V., Kurtz R.C., Lee I.-M., Malats N., McKean D., Milne R.L., Newton C.C., Oberg A.L., Perdomo S., Peters U., Porta M., Rothman N., Schulze M.B., Sesso H.D., Silverman D.T., Thompson I.M., Wactawski-Wende J., Weiderpass E., Wenstzensen N., White E., Wilkens L.R., Yu H., Zeleniuch-Jacquotte A., Zhong J., Kraft P., Li D., Campbell P.T., Petersen G.M., Wolpin B.M., Risch H.A., Amundadottir L.T., Klein A.P., Yu K., Stolzenberg-Solomon R.Z., Julian-Serrano S., Yuan F., Wheeler W., Benyamin B., Machiela M.J., Arslan A.A., Beane-Freeman L.E., Bracci P.M., Duell E.J., Du M., Gallinger S., Giles G.G., Goodman P.J., Kooperberg C., Marchand L.L., Neale R.E., Shu X.-O., Van Den Eeden S.K., Visvanathan K., Zheng W., Albanes D., Andreotti G., Ardanaz E., Babic A., Berndt S.I., Brais L.K., Brennan P., Bueno-de-Mesquita B., Buring J.E., Chanock S.J., Childs E.J., Chung C.C., Fabianova E., Foretova L., Fuchs C.S., Gaziano J.M., Gentiluomo M., Giovannucci E.L., Goggins M.G., Hackert T., Hartge P., Hassan M.M., Holcatova I., Holly E.A., Hung R.I., Janout V., Kurtz R.C., Lee I.-M., Malats N., McKean D., Milne R.L., Newton C.C., Oberg A.L., Perdomo S., Peters U., Porta M., Rothman N., Schulze M.B., Sesso H.D., Silverman D.T., Thompson I.M., Wactawski-Wende J., Weiderpass E., Wenstzensen N., White E., Wilkens L.R., Yu H., Zeleniuch-Jacquotte A., Zhong J., Kraft P., Li D., Campbell P.T., Petersen G.M., Wolpin B.M., Risch H.A., Amundadottir L.T., Klein A.P., Yu K., and Stolzenberg-Solomon R.Z.
- Abstract
BACKGROUND: Epidemiological studies have suggested positive associations for iron and red meat intake with risk of pancreatic ductal adenocarcinoma (PDAC). Inherited pathogenic variants in genes involved in the hepcidin-regulating iron metabolism pathway are known to cause iron overload and hemochromatosis. OBJECTIVE(S): The objective of this study was to determine whether common genetic variation in the hepcidin-regulating iron metabolism pathway is associated with PDAC. METHOD(S): We conducted a pathway analysis of the hepcidin-regulating genes using single nucleotide polymorphism (SNP) summary statistics generated from 4 genome-wide association studies in 2 large consortium studies using the summary data-based adaptive rank truncated product method. Our population consisted of 9253 PDAC cases and 12,525 controls of European descent. Our analysis included 11 hepcidin-regulating genes [bone morphogenetic protein 2 (BMP2), bone morphogenetic protein 6 (BMP6), ferritin heavy chain 1 (FTH1), ferritin light chain (FTL), hepcidin (HAMP), homeostatic iron regulator (HFE), hemojuvelin (HJV), nuclear factor erythroid 2-related factor 2 (NRF2), ferroportin 1 (SLC40A1), transferrin receptor 1 (TFR1), and transferrin receptor 2 (TFR2)] and their surrounding genomic regions (+/-20 kb) for a total of 412 SNPs. RESULT(S): The hepcidin-regulating gene pathway was significantly associated with PDAC (P = 0.002), with the HJV, TFR2, TFR1, BMP6, and HAMP genes contributing the most to the association. CONCLUSION(S): Our results support that genetic susceptibility related to the hepcidin-regulating gene pathway is associated with PDAC risk and suggest a potential role of iron metabolism in pancreatic carcinogenesis. Further studies are needed to evaluate effect modification by intake of iron-rich foods on this association.Copyright Published by Oxford University Press on behalf of the American Society for Nutrition 2021.
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- 2021
10. Genome-wide association study data reveal genetic susceptibility to chronic inflammatory intestinal diseases and pancreatic ductal adenocarcinoma risk.
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Wang X., Yuan F., Hung R.J., Walsh N., Zhang H., Platz E.A., Wheeler W., Song L., Arslan A.A., Beane Freeman L.E., Bracci P., Canzian F., Du M., Wilkens L.R., Yu H., Zeleniuch-Jacquotte A., Shi J., Duell E.J., Amundadottir L.T., Li D., Petersen G.M., Wolpin B.M., Risch H.A., Yu K., Klein A.P., Stolzenberg-Solomon R., Gallinger S., Giles G.G., Goodman P.J., Kooperberg C., Le Marchand L., Neale R.E., Rosendahl J., Scelo G., Shu X.-O., Visvanathan K., White E., Zheng W., Albanes D., Amiano P., Andreotti G., Babic A., Bamlet W.R., Berndt S.I., Brennan P., Bueno-De-Mesquita B., Buring J.E., Campbell P.T., Chanock S.J., Fuchs C.S., Michael Gaziano J., Goggins M.G., Hackert T., Hartge P., Hassan M.M., Holly E.A., Hoover R.N., Katzke V., Kirsten H., Kurtz R.C., Lee I.-M., Malats N., Milne R.L., Murphy N., Ng K., Oberg A.L., Porta M., Rabe K.G., Real F.X., Rothman N., Sesso H.D., Silverman D.T., Thompson I.M., Wactawski-Wende J., Wentzensen N., Wang X., Yuan F., Hung R.J., Walsh N., Zhang H., Platz E.A., Wheeler W., Song L., Arslan A.A., Beane Freeman L.E., Bracci P., Canzian F., Du M., Wilkens L.R., Yu H., Zeleniuch-Jacquotte A., Shi J., Duell E.J., Amundadottir L.T., Li D., Petersen G.M., Wolpin B.M., Risch H.A., Yu K., Klein A.P., Stolzenberg-Solomon R., Gallinger S., Giles G.G., Goodman P.J., Kooperberg C., Le Marchand L., Neale R.E., Rosendahl J., Scelo G., Shu X.-O., Visvanathan K., White E., Zheng W., Albanes D., Amiano P., Andreotti G., Babic A., Bamlet W.R., Berndt S.I., Brennan P., Bueno-De-Mesquita B., Buring J.E., Campbell P.T., Chanock S.J., Fuchs C.S., Michael Gaziano J., Goggins M.G., Hackert T., Hartge P., Hassan M.M., Holly E.A., Hoover R.N., Katzke V., Kirsten H., Kurtz R.C., Lee I.-M., Malats N., Milne R.L., Murphy N., Ng K., Oberg A.L., Porta M., Rabe K.G., Real F.X., Rothman N., Sesso H.D., Silverman D.T., Thompson I.M., Wactawski-Wende J., and Wentzensen N.
- Abstract
Registry-based epidemiologic studies suggest associations between chronic inflammatory intestinal diseases and pancreatic ductal adenocarcinoma (PDAC). As genetic susceptibility contributes to a large proportion of chronic inflammatory intestinal diseases, we hypothesize that the genomic regions surrounding established genome-wide associated variants for these chronic inflammatory diseases are associated with PDAC. We examined the association between PDAC and genomic regions (+500 kb) surrounding established common susceptibility variants for ulcerative colitis, Crohn's disease, inflammatory bowel disease, celiac disease, chronic pancreatitis, and primary sclerosing cholangitis. We analyzed summary statistics from genome-wide association studies data for 8,384 cases and 11,955 controls of European descent from two large consortium studies using the summary data-based adaptive rank truncated product method to examine the overall association of combined genomic regions for each inflammatory disease group. Combined genomic susceptibility regions for ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis were associated with PDAC at P values < 0.05 (0.0040, 0.0057, 0.011, and 3.4 x 10-6, respectively). After excluding the 20 PDAC susceptibility regions (+500 kb) previously identified by GWAS, the genomic regions for ulcerative colitis, Crohn disease, and inflammatory bowel disease remained associated with PDAC (P 1/4 0.0029, 0.0057, and 0.0098, respectively). Genomic regions for celiac disease (P 1/4 0.22) and primary sclerosing cholangitis (P 1/4 0.078) were not associated with PDAC. Our results support the hypothesis that genomic regions surrounding variants associated with inflammatory intestinal diseases, particularly, ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis are associated with PDAC.Copyright © 2020 American Association for Cancer Research.
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- 2021
11. A transcriptome-wide association study identifies novel candidate susceptibility genes for pancreatic cancer.
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Hasan M., Zhang T., Xiao W., Albanes D., Andreotti G., Arslan A.A., Babic A., Bamlet W.R., Beane-Freeman L., Berndt S., Borgida A., Bracci P.M., Brais L., Brennan P., Bueno-De-Mesquita B., Buring J., Canzian F., Childs E.J., Cotterchio M., Du M., Duell E.J., Fuchs C., Gallinger S., Michael Gaziano J., Giles G.G., Giovannucci E., Goggins M., Goodman G.E., Goodman P.J., Haiman C., Hartge P., Helzlsouer K.J., Holly E.A., Klein E.A., Kogevinas M., Kurtz R.J., LeMarchand L., Malats N., Mannisto S., Milne R., Neale R.E., Ng K., Obazee O., Oberg A.L., Orlow I., Patel A.V., Peters U., Porta M., Rothman N., Scelo G., Sesso H.D., Severi G., Sieri S., Silverman D., Sund M., Tjonneland A., Thornquist M.D., Tobias G.S., Trichopoulou A., van Den Eeden S.K., Visvanathan K., Wactawski-Wende J., Wentzensen N., White E., Yu H., Yuan C., Zeleniuch-Jacquotte A., Hoover R., Brown K., Kooperberg C., Risch H.A., Jacobs E.J., Li D., Yu K., Shu X.-O., Chanock S.J., Wolpin B.M., Stolzenberg-Solomon R.Z., Chatterjee N., Klein A.P., Smith J.P., Kraft P., Shi J., Petersen G.M., Zheng W., Amundadottir L.T., Zhong J., Jermusyk A., Wu L., Hoskins J.W., Collins I., Mocci E., Zhang M., Song L., Chung C.C., Hasan M., Zhang T., Xiao W., Albanes D., Andreotti G., Arslan A.A., Babic A., Bamlet W.R., Beane-Freeman L., Berndt S., Borgida A., Bracci P.M., Brais L., Brennan P., Bueno-De-Mesquita B., Buring J., Canzian F., Childs E.J., Cotterchio M., Du M., Duell E.J., Fuchs C., Gallinger S., Michael Gaziano J., Giles G.G., Giovannucci E., Goggins M., Goodman G.E., Goodman P.J., Haiman C., Hartge P., Helzlsouer K.J., Holly E.A., Klein E.A., Kogevinas M., Kurtz R.J., LeMarchand L., Malats N., Mannisto S., Milne R., Neale R.E., Ng K., Obazee O., Oberg A.L., Orlow I., Patel A.V., Peters U., Porta M., Rothman N., Scelo G., Sesso H.D., Severi G., Sieri S., Silverman D., Sund M., Tjonneland A., Thornquist M.D., Tobias G.S., Trichopoulou A., van Den Eeden S.K., Visvanathan K., Wactawski-Wende J., Wentzensen N., White E., Yu H., Yuan C., Zeleniuch-Jacquotte A., Hoover R., Brown K., Kooperberg C., Risch H.A., Jacobs E.J., Li D., Yu K., Shu X.-O., Chanock S.J., Wolpin B.M., Stolzenberg-Solomon R.Z., Chatterjee N., Klein A.P., Smith J.P., Kraft P., Shi J., Petersen G.M., Zheng W., Amundadottir L.T., Zhong J., Jermusyk A., Wu L., Hoskins J.W., Collins I., Mocci E., Zhang M., Song L., and Chung C.C.
- Abstract
Background: Although 20 pancreatic cancer susceptibility loci have been identified through genome-wide association studies in individuals of European ancestry, much of its heritability remains unexplained and the genes responsible largely unknown. Method(s): To discover novel pancreatic cancer risk loci and possible causal genes, we performed a pancreatic cancer transcriptome-wide association study in Europeans using three approaches: FUSION, MetaXcan, and Summary-MulTiXcan. We integrated genome-wide association studies summary statistics from 9040 pancreatic cancer cases and 12 496 controls, with gene expression prediction models built using transcriptome data from histologically normal pancreatic tissue samples (NCI Laboratory of Translational Genomics [n = 95] and Genotype-Tissue Expression v7 [n = 174] datasets) and data from 48 different tissues (Genotype-Tissue Expression v7, n = 74-421 samples). Result(s): We identified 25 genes whose genetically predicted expression was statistically significantly associated with pancreatic cancer risk (false discovery rate <.05), including 14 candidate genes at 11 novel loci (1p36.12: CELA3B; 9q31.1: SMC2, SMC2-AS1; 10q23.31: RP11-80H5.9; 12q13.13: SMUG1; 14q32.33: BTBD6; 15q23: HEXA; 15q26.1: RCCD1; 17q12: PNMT, CDK12, PGAP3; 17q22: SUPT4H1; 18q11.22:RP11-888D10.3; and 19p13.11: PGPEP1) and 11 at six known risk loci (5p15.33: TERT, CLPTM1L, ZDHHC11B; 7p14.1: INHBA; 9q34.2: ABO; 13q12.2: PDX1; 13q22.1: KLF5; and 16q23.1: WDR59, CFDP1, BCAR1, TMEM170A). The association for 12 of these genes (CELA3B, SMC2, and PNMT at novel risk loci and TERT, CLPTM1L, INHBA, ABO, PDX1, KLF5, WDR59, CFDP1, and BCAR1 at known loci) remained statistically significant after Bonferroni correction. Conclusion(s): By integrating gene expression and genotype data, we identified novel pancreatic cancer risk loci and candidate functional genes that warrant further investigation.Copyright © 2020 Oxford University Press. All rights reserved.
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- 2021
12. Associations between genetically predicted blood protein biomarkers and pancreatic cancer risk.
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Haiman C.A., Bracci P., Katzke V., Neale R.E., Gallinger S., van Den Eeden S.K., Arslan A.A., Canzian F., Kooperberg C., Beane Freeman L.E., Scelo G., Visvanathan K., Li D., Le Marchand L., Yu H., Petersen G.M., Stolzenberg-Solomon R., Klein A.P., Cai Q., Long J., Shu X.-O., Zheng W., Wu L., Shu X., Guo X., Liu D., Bao J., Milne R.L., Giles G.G., Wu C., Du M., White E., Risch H.A., Malats N., Duell E.J., Goodman P.J., Zhu J., Haiman C.A., Bracci P., Katzke V., Neale R.E., Gallinger S., van Den Eeden S.K., Arslan A.A., Canzian F., Kooperberg C., Beane Freeman L.E., Scelo G., Visvanathan K., Li D., Le Marchand L., Yu H., Petersen G.M., Stolzenberg-Solomon R., Klein A.P., Cai Q., Long J., Shu X.-O., Zheng W., Wu L., Shu X., Guo X., Liu D., Bao J., Milne R.L., Giles G.G., Wu C., Du M., White E., Risch H.A., Malats N., Duell E.J., Goodman P.J., and Zhu J.
- Abstract
Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies, with few known risk factors and biomarkers. Several blood protein biomarkers have been linked to PDAC in previous studies, but these studies have assessed only a limited number of biomarkers, usually in small samples. In this study, we evaluated associations of circulating protein levels and PDAC risk using genetic instruments. Method(s): To identify novel circulating protein biomarkers of PDAC, we studied 8,280 cases and 6,728 controls of European descent from the Pancreatic Cancer Cohort Consortium and the Pancreatic Cancer Case-Control Consortium, using genetic instruments of protein quantitative trait loci. Result(s): We observed associations between predicted concentrations of 38 proteins and PDAC risk at an FDR of < 0.05, including 23 of those proteins that showed an association even after Bonferroni correction. These include the protein encoded by ABO, which has been implicated as a potential target gene of PDAC risk variant. Eight of the identified proteins (LMA2L, TM11D, IP-10, ADH1B, STOM, TENC1, DOCK9, and CRBB2) were associated with PDAC risk after adjusting for previously reported PDAC risk variants (OR ranged from 0.79 to 1.52). Pathway enrichment analysis showed that the encoding genes for implicated proteins were significantly enriched in cancer-related pathways, such as STAT3 and IL15 production. Conclusion(s): We identified 38 candidates of protein biomarkers for PDAC risk. Impact: This study identifies novel protein biomarker candidates for PDAC, which if validated by additional studies, may contribute to the etiologic understanding of PDAC development.Copyright © 2020 American Association for Cancer Research.
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- 2021
13. P0123 / #890: VITAMIN D STATUS, BIOMARKERS AND OUTCOMES IN CRITICALLY ILL CHILDREN
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Klein, A.P., primary, Andrades, G., additional, Crestani, F., additional, Dalenogare, I., additional, Tonial, C., additional, Costa, C., additional, Pezzi, S., additional, Soares, F., additional, Einloft, P.R., additional, Bruno, F., additional, Miranda, A.P., additional, Branco, R., additional, and Garcia, P., additional
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- 2021
- Full Text
- View/download PDF
14. Increased Notching of the Corpus Callosum in Fetal Alcohol Spectrum Disorder: A Callosal Misunderstanding?
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Schneble, E., primary, Lack, C., additional, Zapadka, M., additional, Pfeifer, C.M., additional, Bardo, D.M.E., additional, Cagley, J., additional, Acharya, J., additional, Klein, A.P., additional, Balla, M., additional, Obayashi, J.T., additional, Ross, D., additional, Pettersson, D.R., additional, and Pollock, J.M., additional
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- 2020
- Full Text
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15. Genome-wide gene⇓diabetes and gene⇓obesity interaction scan in 8,255 cases and 11,900 controls from panscan and PanC4 consortia
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Tang, H. Jiang, L. Stolzenberg-Solomon, R.Z. Arslan, A.A. Beane Freeman, L.E. Bracci, P.M. Brennan, P. Canzian, F. Du, M. Gallinger, S. Giles, G.G. Goodman, P.J. Kooperberg, C. Le Marchand, L. Neale, R.E. Shu, X.-O. Visvanathan, K. White, E. Zheng, W. Albanes, D. Andreotti, G. Babic, A. Bamlet, W.R. Berndt, S.I. Blackford, A. Bueno-De-Mesquita, B. Buring, J.E. Campa, D. Chanock, S.J. Childs, E. Duell, E.J. Fuchs, C. Michael Gaziano, J. Goggins, M. Hartge, P. Hassam, M.H. Holly, E.A. Hoover, R.N. Hung, R.J. Kurtz, R.C. Lee, I.-M. Malats, N. Milne, R.L. Ng, K. Oberg, A.L. Orlow, I. Peters, U. Porta, M. Rabe, K.G. Rothman, N. Scelo, G. Sesso, H.D. Silverman, D.T. Thompson, I.M. Tjønneland, A. Trichopoulou, A. Wactawski-Wende, J. Wentzensen, N. Wilkens, L.R. Yu, H. Zeleniuch-Jacquotte, A. Amundadottir, L.T. Jacobs, E.J. Petersen, G.M. Wolpin, B.M. Risch, H.A. Chatterjee, N. Klein, A.P. Li, D. Kraft, P. Wei, P.
- Abstract
Background: Obesity and diabetes are major modifiable risk factors for pancreatic cancer. Interactions between genetic variants and diabetes/obesity have not previously been comprehensively investigated in pancreatic cancer at the genome-wide level. Methods: We conducted a gene–environment interaction (GxE) analysis including 8,255 cases and 11,900 controls from four pancreatic cancer genome-wide association study (GWAS) datasets (Pancreatic Cancer Cohort Consortium I–III and Pancreatic Cancer Case Control Consortium). Obesity (body mass index ≥30 kg/m2) and diabetes (duration ≥3 years) were the environmental variables of interest. Approximately 870,000 SNPs (minor allele frequency ≥0.005, genotyped in at least one dataset) were analyzed. Case–control (CC), case-only (CO), and joint-effect test methods were used for SNP-level GxE analysis. As a complementary approach, gene-based GxE analysis was also performed. Age, sex, study site, and principal components accounting for population substructure were included as covariates. Meta-analysis was applied to combine individual GWAS summary statistics. Results: No genome-wide significant interactions (departures from a log-additive odds model) with diabetes or obesity were detected at the SNP level by the CC or CO approaches. The joint-effect test detected numerous genome-wide significant GxE signals in the GWAS main effects top hit regions, but the significance diminished after adjusting for the GWAS top hits. In the gene-based analysis, a significant interaction of diabetes with variants in the FAM63A (family with sequence similarity 63 member A) gene (significance threshold P < 1.25 106) was observed in the meta-analysis (PGxE ¼ 1.2 106, PJoint ¼ 4.2 107). Conclusions: This analysis did not find significant GxE interactions at the SNP level but found one significant interaction with diabetes at the gene level. A larger sample size might unveil additional genetic factors via GxE scans. Impact: This study may contribute to discovering the mechanism of diabetes-associated pancreatic cancer. © 2020 American Association for Cancer Research.
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- 2020
16. Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers.
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Houlston R., Choudhury P.P., Easton D.F., Milne R.L., Simard J., Hall P., Michailidou K., Dennis J., Schmidt M.K., Chang-Claude J., Gharahkhani P., Whiteman D., O'Mara T.A., Spurdle A.B., Thompson D.J., Tomlinson I., De Vivo I., Campbell P.T., Hoffmeister M., Jenkins M., Peters U., Hsu L., Gruber S.B., Casey G., Schmit S.L., Landi M.T., Law M.H., Iles M.M., Demenais F., Kumar R., MacGregor S., Bishop D.T., Ward S.V., Bondy M.L., Wiencke J.K., Melin B., Barnholtz-Sloan J., Kinnersley B., Wrensch M.R., Hung R.J., Caporaso N.E., Berndt S.I., Birmann B.M., Camp N.J., Kraft P., Rothman N., Slager S.L., Berchuck A., Pharoah P.D.P., Sellers T.A., Gayther S.A., Pearce C.L., Goode E.L., Schildkraut J.M., Moysich K.B., Amos C.I., Brennan P., McKay J., Amundadottir L.T., Jacobs E.J., Klein A.P., Petersen G.M., Risch H.A., Stolzenberg-Solomon R.Z., Wolpin B.M., Li D., Eeles R.A., Haiman C.A., Kote-Jarai Z., Schumacher F.R., Al Olama A.A., Purdue M.P., Scelo G., Dalgaard M.D., Greene M.H., Grotmol T., Kanetsky P.A., McGlynn K.A., Nathanson K.L., Turnbull C., Wiklund F., Chanock S.J., Chatterjee N., Garcia-Closas M., Zhang Y.D., Hurson A.N., Zhang H., Houlston R., Choudhury P.P., Easton D.F., Milne R.L., Simard J., Hall P., Michailidou K., Dennis J., Schmidt M.K., Chang-Claude J., Gharahkhani P., Whiteman D., O'Mara T.A., Spurdle A.B., Thompson D.J., Tomlinson I., De Vivo I., Campbell P.T., Hoffmeister M., Jenkins M., Peters U., Hsu L., Gruber S.B., Casey G., Schmit S.L., Landi M.T., Law M.H., Iles M.M., Demenais F., Kumar R., MacGregor S., Bishop D.T., Ward S.V., Bondy M.L., Wiencke J.K., Melin B., Barnholtz-Sloan J., Kinnersley B., Wrensch M.R., Hung R.J., Caporaso N.E., Berndt S.I., Birmann B.M., Camp N.J., Kraft P., Rothman N., Slager S.L., Berchuck A., Pharoah P.D.P., Sellers T.A., Gayther S.A., Pearce C.L., Goode E.L., Schildkraut J.M., Moysich K.B., Amos C.I., Brennan P., McKay J., Amundadottir L.T., Jacobs E.J., Klein A.P., Petersen G.M., Risch H.A., Stolzenberg-Solomon R.Z., Wolpin B.M., Li D., Eeles R.A., Haiman C.A., Kote-Jarai Z., Schumacher F.R., Al Olama A.A., Purdue M.P., Scelo G., Dalgaard M.D., Greene M.H., Grotmol T., Kanetsky P.A., McGlynn K.A., Nathanson K.L., Turnbull C., Wiklund F., Chanock S.J., Chatterjee N., Garcia-Closas M., Zhang Y.D., Hurson A.N., and Zhang H.
- Abstract
Genome-wide association studies (GWAS) have led to the identification of hundreds of susceptibility loci across cancers, but the impact of further studies remains uncertain. Here we analyse summary-level data from GWAS of European ancestry across fourteen cancer sites to estimate the number of common susceptibility variants (polygenicity) and underlying effect-size distribution. All cancers show a high degree of polygenicity, involving at a minimum of thousands of loci. We project that sample sizes required to explain 80% of GWAS heritability vary from 60,000 cases for testicular to over 1,000,000 cases for lung cancer. The maximum relative risk achievable for subjects at the 99th risk percentile of underlying polygenic risk scores (PRS), compared to average risk, ranges from 12 for testicular to 2.5 for ovarian cancer. We show that PRS have potential for risk stratification for cancers of breast, colon and prostate, but less so for others because of modest heritability and lower incidence.Copyright © 2020, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.
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- 2020
17. Genome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer
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Klein, A.P. Wolpin, B.M. Risch, H.A. Stolzenberg-Solomon, R.Z. Mocci, E. Zhang, M. Canzian, F. Childs, E.J. Hoskins, J.W. Jermusyk, A. Zhong, J. Chen, F. Albanes, D. Andreotti, G. Arslan, A.A. Babic, A. Bamlet, W.R. Beane-Freeman, L. Berndt, S.I. Blackford, A. Borges, M. Borgida, A. Bracci, P.M. Brais, L. Brennan, P. Brenner, H. Bueno-De-Mesquita, B. Buring, J. Campa, D. Capurso, G. Cavestro, G.M. Chaffee, K.G. Chung, C.C. Cleary, S. Cotterchio, M. Dijk, F. Duell, E.J. Foretova, L. Fuchs, C. Funel, N. Gallinger, S. Gaziano, J.M.M. Gazouli, M. Giles, G.G. Giovannucci, E. Goggins, M. Goodman, G.E. Goodman, P.J. Hackert, T. Haiman, C. Hartge, P. Hasan, M. Hegyi, P. Helzlsouer, K.J. Herman, J. Holcatova, I. Holly, E.A. Hoover, R. Hung, R.J. Jacobs, E.J. Jamroziak, K. Janout, V. Kaaks, R. Khaw, K.-T. Klein, E.A. Kogevinas, M. Kooperberg, C. Kulke, M.H. Kupcinskas, J. Kurtz, R.J. Laheru, D. Landi, S. Lawlor, R.T. Lee, I.-M. Lemarchand, L. Lu, L. Malats, N. Mambrini, A. Mannisto, S. Milne, R.L. Mohelníková-Duchoňová, B. Neale, R.E. Neoptolemos, J.P. Oberg, A.L. Olson, S.H. Orlow, I. Pasquali, C. Patel, A.V. Peters, U. Pezzilli, R. Porta, M. Real, F.X. Rothman, N. Scelo, G. Sesso, H.D. Severi, G. Shu, X.-O. Silverman, D. Smith, J.P. Soucek, P. Sund, M. Talar-Wojnarowska, R. Tavano, F. Thornquist, M.D. Tobias, G.S. Van Den Eeden, S.K. Vashist, Y. Visvanathan, K. Vodicka, P. Wactawski-Wende, J. Wang, Z. Wentzensen, N. White, E. Yu, H. Yu, K. Zeleniuch-Jacquotte, A. Zheng, W. Kraft, P. Li, D. Chanock, S. Obazee, O. Petersen, G.M. Amundadottir, L.T.
- Abstract
In 2020, 146,063 deaths due to pancreatic cancer are estimated to occur in Europe and the United States combined. To identify common susceptibility alleles, we performed the largest pancreatic cancer GWAS to date, including 9040 patients and 12,496 controls of European ancestry from the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4). Here, we find significant evidence of a novel association at rs78417682 (7p12/TNS3, P = 4.35 × 10-8). Replication of 10 promising signals in up to 2737 patients and 4752 controls from the PANcreatic Disease ReseArch (PANDoRA) consortium yields new genome-wide significant loci: Rs13303010 at 1p36.33 (NOC2L, P = 8.36 × 10-14), rs2941471 at 8q21.11 (HNF4G, P = 6.60 × 10-10), rs4795218 at 17q12 (HNF1B, P = 1.32 × 10-8), and rs1517037 at 18q21.32 (GRP, P = 3.28 × 10-8). rs78417682 is not statistically significantly associated with pancreatic cancer in PANDoRA. Expression quantitative trait locus analysis in three independent pancreatic data sets provides molecular support of NOC2L as a pancreatic cancer susceptibility gene. © 2018 The Author(s).
- Published
- 2018
18. Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome
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Lu, L. (Lingeng), Lissowska, J. (Jolanta), Liu, J. (Jianjun), Lin, D. (Dongxin), Liao, L. (Linda), Liang, X. (Xiaolin), Li, D. (Donghui), Le-Marchand, L. (Loic), Landi, M.T. (María Teresa), Lan, Q. (Qing), LaCroix, A. (Andrea), Kurtz, R.C. (Robert C.), Krogh, V. (Vittorio), Kraft, P. (Peter), Kooperberg, C. (Charles), Kolonel, L.N. (Laurence N.), Koh, W.P. (Woon-Puay), Klein, R. (Robert), Klein, A.P. (Alison P.), Kim, Y.T. (Young Tae), Kim, Y.H. (Yeul Hong), Kim, H.N. (Hee Nam), Khaw, K.T. (Kay-Tee), Johansen, C. (Christoffer), Jenab, M. (Mazda), Hutchinson, A. (Amy), Hunter, D.J. (David J.), Hu, W. (Wei), Hu, N. (Nan), Hsiung, C.A. (Chao A.), Hoover, R.N. (Robert N.), Hong, Y.C. (Yun-Chul), Holly, E.A. (Elizabeth A.), Henriksson, R. (Roger), Harris, C.C. (Curtis C.), Hankinson, S.E. (Susan E.), Hallmans, G. (Goran), Haiman, C.A. (Christopher A.), Goldstein, A.M. (Alisa M.), Goldin, L. (Lynn), Giovannucci, E.L. (Edward L.), Gillanders, E.M. (Elizabeth M.), Giles, G.G. (Graham G.), Gaziano, J.M. (J. Michael), Gaudet, M.M. (Mia M.), Garcia-Closas, M. (Montserrat), Gapstur, S.M. (Susan M.), Gao, Y.T. (Yu-Tang), Gallinger, S. (Steven), Fuchs, C.S. (Charles S.), Friedenreich, C.M. (Christine M.), Fraumeni, J.F. (Joseph F.), Figueroa, J.D. (Jonine D.), Fan, J.H. (Jin-Hu), Epstein, C.G. (Caroline G.), Duell, E.J. (Eric J.), Doherty, J. (Jennifer), Ding, T. (Ti), De Vivo, I. (Immaculata), Davis, F.G. (Faith G.), Cullen, M. (Michael), Crous Bou, M. (Marta), Cook, L.S. (Linda S.), Chung, C.C. (Charles C.), Chen, K. (Kexin), Chen, C. (Constance), Chen, C. (Chu), Chatterjee, N. (Nilanjan), Chang, I.S. ( I-Shou), Chaffee, K.G. (Kari G.), Carreon, T. (Tania), Canzian, F. (Federico), Butler, M.A. (Mary A.), Buring, J.E. (Julie E.), Burdett, L. (Laurie), Bueno-de-Mesquita, H.B. (H. Bas), Brinton, L.A. (Louise A.), Bracci, P.M. (Paige M.), Bock, C.H. (Cathryn H.), Blot, W.J. (William J.), Black, A. (Amanda), Berndt, S.I. (Sonja I.), Chanock, S.J. (Stephen J.), Yeager, M. (Meredith), Dean, M.C. (Michael C.), Tucker, M. (Margaret), Rothman, N. (Nathaniel), Caporaso, N.E. (Neil E.), Perez-Jurado, L.A. (Luis A.), Beane-Freeman, L.E. (Laura E.), Ziegler, R.G. (Regina G.), Zhou, B. (Baosen), Zheng, W. (Wei), Zeleniuch-Jacquotte, A. (Anne), Zanetti, K.A. (Krista A.), Yu, K. (Kai), Yang, P.C. (Pan-Chyr), Yang, H.P. (Hannah P.), Xia, L. (Lucy), Wunder, J.S. (Jay S.), Arslan, A.A. (Alan A.), Wu, Y.L. (Yi-Long), Wu, Y.Q. (Yan Q.), Wu, T. (Tangchun), Wu, C. (Chen), Wong, M.P. (Maria Pik), Wolpin, B.M. (Brian M.), Wiencke, J.K. (John K.), White, E. (Emily), Wheeler, W. (William), Wentzensen, N. (Nicolas), Amundadottir, L. (Laufey), Wang, Z. (Zhaoming), Wang, J.C. (Jiu-Cun), Wacholder, S. (Sholom), Visvanathan, K. (Kala), Van Den Berg, D. (David), Tobias, G.S. (Geoffrey S.), Teras, L.R. (Lauren R.), Taylor, P.R. (Philip R.), Tang, Z.Z. (Ze-Zhong), Stram, D. (Daniel), Amos, C. (Christopher), Stolzenberg-Solomon, R.Z. (Rachael Z.), Stevens, V.L. (Victoria L.), Spitz, M.R. (Margaret R.), Silverman, D.T. (Debra T.), Shu, X.O. (Xiao-Ou), Shin, M.H. (Min-Ho), Sheng, X. (Xin), Shen, H. (Hongbing), Severi, G. (Gianluca), Setiawan, V.W. (Veronica Wendy), Aldrich, M.C. (Melinda C.), Seow, A. (Adeline), Schwartz, K.L. (Kendra L.), Schwartz, A.G. (Ann G.), Schumacher, F. (Fredrick), Savage, S.A. (Sharon A.), Ruder, A.M. (Avima M.), Rodriguez-Santiago, B. (Benjamin), Risch, H.A. (Harvey A.), Riboli, E. (Elio), Real, F.X. (Francisco X.), Abnet, C.C. (Christian C.), Rajaraman, P. (Preetha), Qiao, Y.L. (You-Lin), Purdue, M. (Mark), Prokunina-Olsson, L. (Ludmila), Prescott, J. (Jennifer), Pooler, L. (Loreall), Petersen, G. (Gloria), Peters, U. (Ulrike), Peplonska, B. (Beata), Park, J.Y. (Jae Yong), Jacobs, K. (Kevin), Orlow, I. (Irene), Olson, S.H. (Sara H.), Moore, L.E. (Lee E.), Mirabello, L. (Lisa), Melin, B.S. (Beatrice S.), McWilliams, R.R. (Robert R.), McNeill, L.H. (Lorna H.), Matsuo, K. (Keitaro), Malats, N. (Nuria), Magliocco, A.M. (Anthony M.), Hautman, C. (Christopher), Dagnall, C. (Casey), Hicks, B. (Belynda), Yang, Q. (Qi), Freedman, N.D. (Neal D.), Sampson, J. (Joshua), Karlins, E. (Eric), Zhou, W. (Weiyin), Mitchell, J.M. (J. Machiela), Machiela, M.J. (Mitchell J.), and Patiño-García, A. (Ana)
- Subjects
Chromosome X ,Age-related - Abstract
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 events42Mb 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.
- Published
- 2016
19. Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21
- Author
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Zhang, M. Wang, Z. Obazee, O. Jia, J. Childs, E.J. Hoskins, J. Figlioli, G. Mocci, E. Collins, I. Chung, C.C. Hautman, C. Arslan, A.A. Beane-Freeman, L. Bracci, P.M. Buring, J. Duell, E.J. Gallinger, S. Giles, G.G. Goodman, G.E. Goodman, P.J. Kamineni, A. Kolonel, L.N. Kulke, M.H. Malats, N. Olson, S.H. Sesso, H.D. Visvanathan, K. White, E. Zheng, W. Abnet, C.C. Albanes, D. Andreotti, G. Brais, L. Bas Bueno-de-Mesquita, H. Basso, D. Berndt, S.I. Boutron-Ruault, M.-C. Bijlsma, M.F. Brenner, H. Burdette, L. Campa, D. Caporaso, N.E. Capurso, G. Cavestro, G.M. Cotterchio, M. Costello, E. Elena, J. Boggi, U. Michael Gaziano, J. Gazouli, M. Giovannucci, E.L. Goggins, M. Gross, M. Haiman, C.A. Hassan, M. Helzlsouer, K.J. Hu, N. Hunter, D.J. Iskierka-Jazdzewska, E. Jenab, M. Kaaks, R. Key, T.J. Khaw, K.-T. Klein, E.A. Kogevinas, M. Krogh, V. Kupcinskas, J. Kurtz, R.C. Landi, M.T. Landi, S. Marchand, L.L. Mambrini, A. Mannisto, S. Milne, R.L. Neale, R.E. Oberg, A.L. Panico, S. Patel, A.V. Peeters, P.H.M. Peters, U. Pezzilli, R. Porta, M. Purdue, M. Ramón Quiros, J. Riboli, E. Rothman, N. Scarpa, A. Scelo, G. Shu, X.-O. Silverman, D.T. Soucek, P. Strobel, O. Sund, M. Malecka-Panas, E. Taylor, P.R. Tavano, F. Travis, R.C. Thornquist, M. Tjønneland, A. Tobias, G.S. Trichopoulos, D. Vashist, Y. Vodicka, P. Wactawski-Wende, J. Wentzensen, N. Yu, H. Yu, K. Zeleniuch-Jacquotte, A. Kooperberg, C. Risch, H.A. Jacobs, E.J. Li, D. Fuchs, C. Hoover, R. Hartge, P. Chanock, S.J. Petersen, G.M. Stolzenberg-Solomon, R.S. Wolpin, B.M. Kraft, P. Klein, A.P. Canzian, F. Amundadottir, L.T.
- Abstract
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.
- Published
- 2016
20. Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study
- Author
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Haycock, P.C., Burgess, S., Nounu, A., Zheng, J., Okoli, G.N., Bowden, J., Wade, K.H., Timpson, N.J., Evans, D.M., Willeit, P., Aviv, A., Gaunt, T.R., Hemani, G., Mangino, M., Ellis, H.P., Kurian, K.M., Pooley, K.A., Eeles, R.A., Lee, J.E., Fang, S., Chen, W.V., Law, M.H., Bowdler, L.M., Iles, M.M., Yang, Q., Worrall, B.B., Markus, H.S., Hung, R.J., Amos, C.I., Spurdle, A.B., Thompson, D.J., O'Mara, T.A., Wolpin, B., Amundadottir, L., Stolzenberg-Solomon, R., Trichopoulou, A., Onland-Moret, N.C., Lund, E., Duell, E.J., Canzian, F., Severi, G., Overvad, K., Gunter, M.J., Tumino, R., Svenson, U., Rij, A. van, Baas, A.F., Bown, M.J., Samani, N.J., t'Hof, F.N.G. van, Tromp, G., Jones, G.T., Kuivaniemi, H., Elmore, J.R., Johansson, M., McKay, J., Scelo, G., Carreras-Torres, R., Gaborieau, V., Brennan, P., Bracci, P.M., Neale, R.E., Olson, S.H., Gallinger, S., Li, D., Petersen, G.M., Risch, H.A., Klein, A.P., Han, J., Abnet, C.C., Freedman, N.D., Taylor, P.R., Maris, J.M., Aben, K.K.H., Kiemeney, L.A., Vermeulen, S.H., Wiencke, J.K., Walsh, K.M., Wrensch, M., Rice, T., Turnbull, C., Litchfield, K., Paternoster, L., Standl, M., Abecasis, G.R., SanGiovanni, J.P., Li, Y., Mijatovic, V., Sapkota, Y., Low, S.K., Zondervan, K.T., Montgomery, G.W., Nyholt, D.R., Heel, D.A. van, Hunt, K., Arking, D.E., Ashar, F.N., Sotoodehnia, N., Woo, D., et al., Haycock, P.C., Burgess, S., Nounu, A., Zheng, J., Okoli, G.N., Bowden, J., Wade, K.H., Timpson, N.J., Evans, D.M., Willeit, P., Aviv, A., Gaunt, T.R., Hemani, G., Mangino, M., Ellis, H.P., Kurian, K.M., Pooley, K.A., Eeles, R.A., Lee, J.E., Fang, S., Chen, W.V., Law, M.H., Bowdler, L.M., Iles, M.M., Yang, Q., Worrall, B.B., Markus, H.S., Hung, R.J., Amos, C.I., Spurdle, A.B., Thompson, D.J., O'Mara, T.A., Wolpin, B., Amundadottir, L., Stolzenberg-Solomon, R., Trichopoulou, A., Onland-Moret, N.C., Lund, E., Duell, E.J., Canzian, F., Severi, G., Overvad, K., Gunter, M.J., Tumino, R., Svenson, U., Rij, A. van, Baas, A.F., Bown, M.J., Samani, N.J., t'Hof, F.N.G. van, Tromp, G., Jones, G.T., Kuivaniemi, H., Elmore, J.R., Johansson, M., McKay, J., Scelo, G., Carreras-Torres, R., Gaborieau, V., Brennan, P., Bracci, P.M., Neale, R.E., Olson, S.H., Gallinger, S., Li, D., Petersen, G.M., Risch, H.A., Klein, A.P., Han, J., Abnet, C.C., Freedman, N.D., Taylor, P.R., Maris, J.M., Aben, K.K.H., Kiemeney, L.A., Vermeulen, S.H., Wiencke, J.K., Walsh, K.M., Wrensch, M., Rice, T., Turnbull, C., Litchfield, K., Paternoster, L., Standl, M., Abecasis, G.R., SanGiovanni, J.P., Li, Y., Mijatovic, V., Sapkota, Y., Low, S.K., Zondervan, K.T., Montgomery, G.W., Nyholt, D.R., Heel, D.A. van, Hunt, K., Arking, D.E., Ashar, F.N., Sotoodehnia, N., Woo, D., and et al.
- Abstract
Contains fulltext : 174181.pdf (publisher's version ) (Closed access), Importance: The causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation. Objective: To conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases. Data Sources: Genomewide association studies (GWAS) published up to January 15, 2015. Study Selection: GWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available. Data Extraction and Synthesis: Summary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population. Main Outcomes and Measures: Odds ratios (ORs) and 95% confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation. Results: Summary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420081 cases (median cases, 2526 per disease) and 1093105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95% CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer cance
- Published
- 2017
21. Association between telomere length and risk of cancer and non-neoplastic diseases a mendelian randomization study
- Author
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Haycock, P. (Philip), Burgess, S. (Stephen), Nounu, A. (Aayah), Zheng, J. (Jie), Okoli, G.N. (George N.), Bowden, J., Wade, K.H. (Kaitlin Hazel), Timpson, N.J. (Nicholas J.), Evans, D.M. (David M.), Willeit, P. (Peter), Aviv, A. (Abraham), Gaunt, T.R. (Tom), Hemani, G., Mangino, M. (Massimo), Ellis, H.P. (Hayley Patricia), Kurian, K.M. (Kathreena M.), Pooley, K.A. (Karen A.), Eeles, R. (Rosalind), Lee, J.E. (Jeffrey E.), Fang, S. (Shenying), Chen, W.V. (Wei V.), Law, M.H. (Matthew H.), Bowdler, L.M. (Lisa M.), Iles, M.M. (Mark M.), Yang, Q. (Qiong Fang), Worrall, B.B. (Bradford B.), Markus, H.S. (Hugh), Hung, R.J. (Rayjean J.), Amos, W., Spurdle, A.B. (Amanda), Thompson, D. (Deborah), O'Mara, T.A. (Tracy A.), Wolpin, B. (Brian), Amundadottir, L. (Laufey), Stolzenberg-Solomon, R. (Rachael), Trichopoulou, A. (Antonia), Onland-Moret, N.C. (Charlotte), Lund, E. (Eiliv), Duell, E.J. (Eric), Canzian, F. (Federico), Severi, G. (Gianluca), Overvad, K. (Kim), Gunter, M.J. (Marc J.), Tumino, R. (Rosario), Svenson, U. (Ulrika), Rij, A.M. (Andre) van, Baas, A.F. (Annette), Bown, N., Samani, N.J. (Nilesh), Van t'Hof, F.N.G. (Femke N.G.), Tromp, G. (Gerard), Jones, G.T. (Gregory T.), Kuivaniemi, H. (Helena), Elmore, J.R. (James R.), Johansson, M. (Mattias), Mckay, J. (James), Scelo, G. (Ghislaine), Carreras-Torres, R. (Robert), Gaborieau, V. (Valerie), Brennan, P. (Paul), Bracci, P.M. (Paige M.), Neale, R.E. (Rachel E.), Olson, S.H. (Sara H.), Gallinger, S. (Steve), Li, D. (Donghui), Olson, S.H. (Sara), Risch, H. (Harvey), Klein, A.P. (Alison P.), Han, J., Abnet, C.C. (Christian C.), Freedman, N.D. (Neal D.), Taylor, P.R. (Phil R.), Maris, J.M. (John), Aben, K.K.H. (Katja), Kiemeney, L.A.L.M. (Bart), Vermeulen, S.H.H.M. (Sita), Wiencke, J.K. (John K.), Walsh, K.M. (Kyle M.), Wrensch, M. (Margaret), Rice, T. (Terri), Turnbull, C. (Clare), Litchfield, K. (Kevin), Paternoster, L. (Lavinia), Standl, M. (Marie), Abecasis, G.R. (Gonçalo), SanGiovanni, J.P. (John Paul), Li, Y. (Yong), Mijatovic, V. (Vladan), Sapkota, Y. (Yadav), Low, S.-K. (Siew-Kee), Zondervan, K.T. (Krina), Montgomery, G.W. (Grant W.), Nyholt, D.R. (Dale), Heel, D.A. (David) van, Hunt, K. (Karen), Arking, D.E. (Dan), Ashar, F.N. (Foram N.), Sotoodehnia, N. (Nona), Woo, D. (Daniel), Rosand, J. (Jonathan), Comeau, M.E. (Mary E.), Brown, W.M. (W. Mark), Silverman, E. (Edwin), Hokanson, J.E. (John E.), Cho, M.H. (Michael), Hui, J. (Jennie), Ferreira, M.A. (Manuel A.), Thompson, P.J. (Philip J.), Morrison, A.C. (Alanna), Felix, J.F. (Janine F.), Smith, N.L. (Nicholas L.), Christiano, A.M. (Angela), Petukhova, L. (Lynn), Betz, R.C. (Regina), Fan, X. (Xing), Zhang, X. (Xuejun), Zhu, C. (Caihong), Langefeld, C.D. (Carl), Thompson, S.D. (Susan D.), Wang, F. (Feijie), Lin, X. (Xu), Schwartz, D.A. (David A.), Fingerlin, T.E. (Tasha E.), Rotter, J.I. (Jerome I.), Cotch, M.F. (Mary Frances), Jensen, R.A. (Richard A.), Munz, M. (Matthias), Dommisch, H. (Henrik), Schaefer, A. (Antje), Han, F. (Fang), Ollila, H.M., Hillary, R.P. (Ryan P.), Albagha, O.M.E. (Omar M.), Ralston, S.H. (Stuart), Zeng, C. (Chenjie), Zheng, W. (Wei), Shu, X.-O. (Xiao-Ou), Reis, A. (André), Uebe, S. (Steffen), Hüffmeier, U. (Ulrike), Kawamura, Y. (Yoshiya), Otowa, T. (Takeshi), Sasaki, T. (Tsukasa), Hibberd, M.L. (Martin), Davila, S. (Sonia), Xie, G. (Gang), Siminovitch, K.A. (Katherine), Bei, J.-X. (Jin-Xin), Zeng, Y.X., Försti, A. (Asta), Chen, B. (Bowang), Landi, S. (Stefano), Franke, A. (Andre), Fischer, A. (Annegret), Ellinghaus, D. (David), Flores, C. (Carlos), Noth, I. (Imre), Ma, S.-F. (Shwu-Fan), Foo, J.-N. (Jia-Nee), Liu, J. (Jianjun), Kim, J.-W. (Jong-Won), Cox, D.G. (David), Delattre, O. (Olivier), Mirabeau, O. (Olivier), Skibola, C.F. (Christine F.), Tang, C.S. (Clara S.), Garcia-Barcelo, M., Chang, K.-P. (Kai-Ping), Su, W.-H. (Wen-Hui), Chang, Y.-S. (Yu-Sun), Martin, N.G. (Nicholas G.), Gordon, S.D. (Scott D.), Wade, T.D. (Tracey D.), Lee, C. (Chaeyoung), Kubo, M. (Michiaki), Cha, P.-C. (Pei-Chieng), Nakamura, Y. (Yusuke), Levy, D. (Daniel), Kimura, M. (Masayuki), Hwang, S.-J. (Shih-Jen), Hunt, S.C. (Steven), Spector, T.D. (Timothy), Soranzo, N. (Nicole), Manichaikul, A.W. (Ani W.), Barr, R.G. (Graham), Kahali, B. (Bratati), Speliotes, E.K. (Elizabeth), Yerges-Armstrong, L.M. (Laura), Cheng, C-Y. (Ching-Yu), Jonas, J.B. (Jost B.), Wong, T.Y. (Tien Yin), Fogh, I. (Isabella), Lin, K. (Kuang), Powell, J. (John), Rice, K. (Kenneth), Relton, C.L. (Caroline), Martin, R.M. (Richard M.), Smith, A.V. (Davey), Haycock, P. (Philip), Burgess, S. (Stephen), Nounu, A. (Aayah), Zheng, J. (Jie), Okoli, G.N. (George N.), Bowden, J., Wade, K.H. (Kaitlin Hazel), Timpson, N.J. (Nicholas J.), Evans, D.M. (David M.), Willeit, P. (Peter), Aviv, A. (Abraham), Gaunt, T.R. (Tom), Hemani, G., Mangino, M. (Massimo), Ellis, H.P. (Hayley Patricia), Kurian, K.M. (Kathreena M.), Pooley, K.A. (Karen A.), Eeles, R. (Rosalind), Lee, J.E. (Jeffrey E.), Fang, S. (Shenying), Chen, W.V. (Wei V.), Law, M.H. (Matthew H.), Bowdler, L.M. (Lisa M.), Iles, M.M. (Mark M.), Yang, Q. (Qiong Fang), Worrall, B.B. (Bradford B.), Markus, H.S. (Hugh), Hung, R.J. (Rayjean J.), Amos, W., Spurdle, A.B. (Amanda), Thompson, D. (Deborah), O'Mara, T.A. (Tracy A.), Wolpin, B. (Brian), Amundadottir, L. (Laufey), Stolzenberg-Solomon, R. (Rachael), Trichopoulou, A. (Antonia), Onland-Moret, N.C. (Charlotte), Lund, E. (Eiliv), Duell, E.J. (Eric), Canzian, F. (Federico), Severi, G. (Gianluca), Overvad, K. (Kim), Gunter, M.J. (Marc J.), Tumino, R. (Rosario), Svenson, U. (Ulrika), Rij, A.M. (Andre) van, Baas, A.F. (Annette), Bown, N., Samani, N.J. (Nilesh), Van t'Hof, F.N.G. (Femke N.G.), Tromp, G. (Gerard), Jones, G.T. (Gregory T.), Kuivaniemi, H. (Helena), Elmore, J.R. (James R.), Johansson, M. (Mattias), Mckay, J. (James), Scelo, G. (Ghislaine), Carreras-Torres, R. (Robert), Gaborieau, V. (Valerie), Brennan, P. (Paul), Bracci, P.M. (Paige M.), Neale, R.E. (Rachel E.), Olson, S.H. (Sara H.), Gallinger, S. (Steve), Li, D. (Donghui), Olson, S.H. (Sara), Risch, H. (Harvey), Klein, A.P. (Alison P.), Han, J., Abnet, C.C. (Christian C.), Freedman, N.D. (Neal D.), Taylor, P.R. (Phil R.), Maris, J.M. (John), Aben, K.K.H. (Katja), Kiemeney, L.A.L.M. (Bart), Vermeulen, S.H.H.M. (Sita), Wiencke, J.K. (John K.), Walsh, K.M. (Kyle M.), Wrensch, M. (Margaret), Rice, T. (Terri), Turnbull, C. (Clare), Litchfield, K. (Kevin), Paternoster, L. (Lavinia), Standl, M. (Marie), Abecasis, G.R. (Gonçalo), SanGiovanni, J.P. (John Paul), Li, Y. (Yong), Mijatovic, V. (Vladan), Sapkota, Y. (Yadav), Low, S.-K. (Siew-Kee), Zondervan, K.T. (Krina), Montgomery, G.W. (Grant W.), Nyholt, D.R. (Dale), Heel, D.A. (David) van, Hunt, K. (Karen), Arking, D.E. (Dan), Ashar, F.N. (Foram N.), Sotoodehnia, N. (Nona), Woo, D. (Daniel), Rosand, J. (Jonathan), Comeau, M.E. (Mary E.), Brown, W.M. (W. Mark), Silverman, E. (Edwin), Hokanson, J.E. (John E.), Cho, M.H. (Michael), Hui, J. (Jennie), Ferreira, M.A. (Manuel A.), Thompson, P.J. (Philip J.), Morrison, A.C. (Alanna), Felix, J.F. (Janine F.), Smith, N.L. (Nicholas L.), Christiano, A.M. (Angela), Petukhova, L. (Lynn), Betz, R.C. (Regina), Fan, X. (Xing), Zhang, X. (Xuejun), Zhu, C. (Caihong), Langefeld, C.D. (Carl), Thompson, S.D. (Susan D.), Wang, F. (Feijie), Lin, X. (Xu), Schwartz, D.A. (David A.), Fingerlin, T.E. (Tasha E.), Rotter, J.I. (Jerome I.), Cotch, M.F. (Mary Frances), Jensen, R.A. (Richard A.), Munz, M. (Matthias), Dommisch, H. (Henrik), Schaefer, A. (Antje), Han, F. (Fang), Ollila, H.M., Hillary, R.P. (Ryan P.), Albagha, O.M.E. (Omar M.), Ralston, S.H. (Stuart), Zeng, C. (Chenjie), Zheng, W. (Wei), Shu, X.-O. (Xiao-Ou), Reis, A. (André), Uebe, S. (Steffen), Hüffmeier, U. (Ulrike), Kawamura, Y. (Yoshiya), Otowa, T. (Takeshi), Sasaki, T. (Tsukasa), Hibberd, M.L. (Martin), Davila, S. (Sonia), Xie, G. (Gang), Siminovitch, K.A. (Katherine), Bei, J.-X. (Jin-Xin), Zeng, Y.X., Försti, A. (Asta), Chen, B. (Bowang), Landi, S. (Stefano), Franke, A. (Andre), Fischer, A. (Annegret), Ellinghaus, D. (David), Flores, C. (Carlos), Noth, I. (Imre), Ma, S.-F. (Shwu-Fan), Foo, J.-N. (Jia-Nee), Liu, J. (Jianjun), Kim, J.-W. (Jong-Won), Cox, D.G. (David), Delattre, O. (Olivier), Mirabeau, O. (Olivier), Skibola, C.F. (Christine F.), Tang, C.S. (Clara S.), Garcia-Barcelo, M., Chang, K.-P. (Kai-Ping), Su, W.-H. (Wen-Hui), Chang, Y.-S. (Yu-Sun), Martin, N.G. (Nicholas G.), Gordon, S.D. (Scott D.), Wade, T.D. (Tracey D.), Lee, C. (Chaeyoung), Kubo, M. (Michiaki), Cha, P.-C. (Pei-Chieng), Nakamura, Y. (Yusuke), Levy, D. (Daniel), Kimura, M. (Masayuki), Hwang, S.-J. (Shih-Jen), Hunt, S.C. (Steven), Spector, T.D. (Timothy), Soranzo, N. (Nicole), Manichaikul, A.W. (Ani W.), Barr, R.G. (Graham), Kahali, B. (Bratati), Speliotes, E.K. (Elizabeth), Yerges-Armstrong, L.M. (Laura), Cheng, C-Y. (Ching-Yu), Jonas, J.B. (Jost B.), Wong, T.Y. (Tien Yin), Fogh, I. (Isabella), Lin, K. (Kuang), Powell, J. (John), Rice, K. (Kenneth), Relton, C.L. (Caroline), Martin, R.M. (Richard M.), and Smith, A.V. (Davey)
- Abstract
IMPORTANCE: The causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation. OBJECTIVE: To conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases. DATA SOURCES: Genomewide association studies (GWAS) published up to January 15, 2015. STUDY SELECTION: GWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available. DATA EXTRACTION AND SYNTHESIS: Summary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population. MAIN OUTCOMES AND MEASURES: Odds ratios (ORs) and 95% confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation. RESULTS: Summary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420 081 cases (median cases, 2526 per disease) and 1 093 105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95% CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer ca
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- 2017
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22. Common variation at 2p13.3, 3q29, 7p13 and 17q25.1 associated with susceptibility to pancreatic cancer
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Childs, E.J. Mocci, E. Campa, D. Bracci, P.M. Gallinger, S. Goggins, M. Li, D. Neale, R.E. Olson, S.H. Scelo, G. Amundadottir, L.T. Bamlet, W.R. Bijlsma, M.F. Blackford, A. Borges, M. Brennan, P. Brenner, H. Bueno-De-Mesquita, H.B. Canzian, F. Capurso, G. Cavestro, G.M. Chaffee, K.G. Chanock, S.J. Cleary, S.P. Cotterchio, M. Foretova, L. Fuchs, C. Funel, N. Gazouli, M. Hassan, M. Herman, J.M. Holcatova, I. Holly, E.A. Hoover, R.N. Hung, R.J. Janout, V. Key, T.J. Kupcinskas, J. Kurtz, R.C. Landi, S. Lu, L. Malecka-Panas, E. Mambrini, A. Mohelnikova-Duchonova, B. Neoptolemos, J.P. Oberg, A.L. Orlow, I. Pasquali, C. Pezzilli, R. Rizzato, C. Saldia, A. Scarpa, A. Stolzenberg-Solomon, R.Z. Strobel, O. Tavano, F. Vashist, Y.K. Vodicka, P. Wolpin, B.M. Yu, H. Petersen, G.M. Risch, H.A. Klein, A.P.
- Abstract
Pancreatic cancer is the fourth leading cause of cancer death in the developed world. Both inherited high-penetrance mutations in BRCA2 (ref. 2), ATM, PALB2 (ref. 4), BRCA1 (ref. 5), STK11 (ref. 6), CDKN2A and mismatch-repair genes and low-penetrance loci are associated with increased risk. To identify new risk loci, we performed a genome-wide association study on 9,925 pancreatic cancer cases and 11,569 controls, including 4,164 newly genotyped cases and 3,792 controls in 9 studies from North America, Central Europe and Australia. We identified three newly associated regions: 17q25.1 (LINC00673, rs11655237, odds ratio (OR) = 1.26, 95% confidence interval (CI) = 1.19-1.34, P = 1.42 × 10-14), 7p13 (SUGCT, rs17688601, OR = 0.88, 95% CI = 0.84-0.92, P = 1.41 × 10-8) and 3q29 (TP63, rs9854771, OR = 0.89, 95% CI = 0.85-0.93, P = 2.35 × 10-8). We detected significant association at 2p13.3 (ETAA1, rs1486134, OR = 1.14, 95% CI = 1.09-1.19, P = 3.36 × 10-9), a region with previous suggestive evidence in Han Chinese. We replicated previously reported associations at 9q34.2 (ABO), 13q22.1 (KLF5), 5p15.33 (TERT and CLPTM1), 13q12.2 (PDX1), 1q32.1 (NR5A2), 7q32.3 (LINC-PINT), 16q23.1 (BCAR1) and 22q12.1 (ZNRF3). Our study identifies new loci associated with pancreatic cancer risk. © 2015 Nature America, Inc. All rights reserved.
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- 2015
23. Nonmotor Functions of the Cerebellum: An Introduction
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Klein, A.P., primary, Ulmer, J.L., additional, Quinet, S.A., additional, Mathews, V., additional, and Mark, L.P., additional
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- 2016
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24. Memory Part 3: The Role of the Fornix and Clinical Cases
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Raslau, F.D., primary, Augustinack, J.C., additional, Klein, A.P., additional, Ulmer, J.L., additional, Mathews, V.P., additional, and Mark, L.P., additional
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- 2015
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25. Memory Part 2: The Role of the Medial Temporal Lobe
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Raslau, F.D., primary, Mark, I.T., additional, Klein, A.P., additional, Ulmer, J.L., additional, Mathews, V., additional, and Mark, L.P., additional
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- 2014
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26. Memory Part 1: Overview
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Raslau, F.D., primary, Klein, A.P., additional, Ulmer, J.L., additional, Mathews, V., additional, and Mark, L.P., additional
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- 2014
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27. “Exact” solution of the Anderson model for dilute alloys
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Klein, A.P., primary
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- 1970
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28. Simple self-consistent theory of the Mott transition
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Klein, A.P., primary
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- 1969
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29. Low temperature properties of Kondo spin-compensated impurities in metals
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Klein, A.P., primary
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- 1967
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30. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33
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Hidemi Ito, Stephen K. Van Den Eeden, Abdisamad M. Ibrahim, Ching C. Lau, Preetha Rajaraman, Gloria M. Petersen, Judith Hoffman-Bolton, Colin P.N. Dinney, Chang Hyun Kang, Melinda C. Aldrich, Mark P. Purdue, Xiao-Ou Shu, William J. Blot, Sanjay Shete, Alpa V. Patel, Charles Kooperberg, Paolo Vineis, David Van Den Berg, Chao A. Hsiung, Anthony J. Swerdlow, Qing Lan, Wu Chou Su, Afshan Siddiq, Ulrike Peters, Katia Scotlandi, Sara H. Olson, Kendra Schwartz, Kelly L. Bolton, Chancellor Hohensee, Josep Lloreta, Kevin B. Jacobs, Debra T. Silverman, Rudolf Kaaks, Wei Zheng, Steven Gallinger, Junwen Wang, Angela Carta, Massimo Serra, Petra H.M. Peeters, Victoria L. Stevens, Yasushi Yatabe, Geraldine Cancel-Tassin, Joshua N. Sampson, Young Tae Kim, Graham A. Colditz, Pan-Chyr Yang, Baosen Zhou, Fredrick R. Schumacher, Nicolas Wentzensen, Evelyn Tay, Claudia Maria Hattinger, Chen Wu, Pilar Amiano, Mattias Johansson, Maxwell P. Lee, Christian P. Kratz, Michael B. Cook, Mingfeng Zhang, Kay-Tee Khaw, Jian-Min Yuan, Anne Zeleniuch-Jacquotte, Jinping Jia, Roberto Tirabosco, Jing Ma, Neil E. Caporaso, Christopher A. Haiman, Bu Tian Ji, Adrienne M. Flanagan, Neyssa Marina, Eric J. Jacobs, Sophia S. Wang, Chong-Jen Yu, Edward Giovannucci, Margaret Wrensch, Robert L. Grubb, Bin Zhu, Daniel O. Stram, Manolis Kogevinas, Margaret R. Karagas, Mazda Jenab, Alison M. Mondul, Jun Xu, Preethi S. Raj, Anders Ahlbom, Christine D. Berg, Shelley Niwa, Kala Visvanathan, Loic Le Marchand, Jorge R. Toro, Robert N. Hoover, Heather Spencer Feigelson, Michelle Brotzman, Laurence N. Kolonel, Krista A. Zanetti, Chengfeng Wang, Mary Ann Butler, Ann Truelove, Irene L. Andrulis, Hongbing Shen, H. Dean Hosgood, Ming Shyan Huang, Gee-Chen Chang, Jianjun Liu, John K. Wiencke, Stephanie J. Weinstein, Beatrice Melin, Kouya Shiraishi, Zhihua Yin, Lee E. Moore, Börje Ljungberg, Jolanta Lissowska, Elizabeth M. Gillanders, M. T. Landi, Cari M. Kitahara, Maria Feychting, Kuan-Yu Chen, Matthias Simon, Brian M. Wolpin, Hemang Parikh, Hannah P. Yang, Graham G. Giles, Alison Johnson, Demetrius Albanes, Carlos González, Brian E. Henderson, Xifeng Wu, Harvey A. Risch, Amy Hutchinson, Christopher Hautman, Constance Chen, Zhibin Hu, Donghui Li, Elio Riboli, Julie E. Buring, Curtis C. Harris, Xu Che, Núria Malats, Roger Henriksson, Rosario Tumino, Joanne S. Colt, Alfredo Carrato, Paolo Boffetta, Maria Pik Wong, Hideo Tanaka, Federico Canzian, Alan D. L. Sihoe, Chien-Jen Chen, Kenneth Muir, Chen Ying, Qincheng He, Melissa C. Southey, Marc Sanson, Victoria K. Cortessis, Sharon A. Savage, Wei Hu, Yao Tettey, Daniela S. Gerhard, Sofia Pavanello, Guangwen Cao, H. Barton Grossman, Michael Goggins, Hideo Kunitoh, Peter D. Inskip, Seth P. Lerner, Peter Kraft, David Thomas, Peng Guan, Chung Hsing Chen, I. Shou Chang, Christoffer Johansen, Roberta McKean-Cowdin, Lee J. Helman, Yuh Min Chen, Ana Patiño-García, Pär Stattin, Xiaoping Miao, Tangchun Wu, Jay S. Wunder, Ann W. Hsing, Yu-Tang Gao, Brooke L. Fridley, Tania Carreón, Charles C. Chung, Nan Hu, Yoo Jin Jung, Richard B. Biritwum, Eric J. Duell, Philip R. Taylor, Satu Männistö, Kai Yu, Meredith Yeager, Xia Pu, Vittorio Krogh, Anand P. Chokkalingam, Susan M. Gapstur, W. Ryan Diver, Yuanqing Ye, Keitaro Matsuo, Cecilia Arici, You-Lin Qiao, Alan R. Schned, Dominique S. Michaud, Joanne W. Elena, Christopher Kim, Dongxin Lin, Yun-Chul Hong, Daru Lu, Reina García-Closas, Jonine D. Figueroa, Linda M. Liao, Yi-Long Wu, Heiner Boeing, Mark Lathrop, Göran Hallmans, Elizabeth A. Holly, Carol Giffen, Andrew A. Adjei, Consol Serra, Anne Tjønneland, Joseph F. Fraumeni, Alisa M. Goldstein, Ruth C. Travis, Rebecca Troisi, Dalsu Baris, Nalan Gokgoz, Olivier Cussenot, Xiang Deng, Yeul Hong Kim, Malin Sund, Sonja I. Berndt, E. David Crawford, Edward D. Yeboah, Sook Whan Sung, Françoise Clavel-Chapelon, Woon-Puay Koh, Nilgun Kurucu, Richard B. Hayes, Ashish M. Kamat, Beata Peplonska, Laurie Burdette, Ze Zhang Tang, Alan A. Arslan, Malcolm C. Pike, Sabina Sierri, J. Michael Gaziano, Lorna H. McNeil, Katherine A. McGlynn, Ulla Vogel, Logan G. Spector, H. Bas Bueno-de-Mesquita, Stephen J. Chanock, Jae Yong Park, Jennifer Prescott, Fernando Lecanda, Margaret A. Tucker, Ti Ding, Christian C. Abnet, Jenny Chang-Claude, Dimitrios Trichopoulos, Wei-Yen Lim, Wen Tan, Nick Orr, Jin Hee Kim, Stefano Porru, Chand Khanna, Robert R. McWilliams, Zhaoming Wang, Jeong Seon Ryu, David V. Conti, Alison P. Klein, Adonina Tardón, Robert J. Klein, Rebecca J. Rodabough, Mark H. Greene, Aruna Kamineni, Jie Lin, Rachael Z. Stolzenberg-Solomon, Patricia Hartge, Susan E. Hankinson, Young-Chul Kim, In Sam Kim, Luis Sierrasesúmaga, Roel Vermeulen, Paige M. Bracci, Mariana C. Stern, Louise A. Brinton, Myron D. Gross, Yong-Bing Xiang, Chih Yi Chen, G. A. Gerald Andriole, Paul S. Meltzer, Ying-Huang Tsai, Faith G. Davis, Ulrika Andersson, Paul Brennan, Sara Lindström, Chaoyu Wang, Giuseppe Mastrangelo, Laufey T. Amundadottir, Immaculata De Vivo, Bryan A. Bassig, Elisabete Weiderpass, Takashi Kohno, Nilanjan Chatterjee, Margaret R. Spitz, Pier Alberto Bertazzi, William Wheeler, David J. Hunter, Wei Tang, Qiuyin Cai, Naomi E. Allen, Molly Schwenn, Emily White, Min Shen, Adeline Seow, Laura E. Beane Freeman, James E. Mensah, Howard D. Sesso, Anna Luisa Di Stefano, Amanda Black, Manuela Gago-Dominguez, Christine B. Ambrosone, Avima M. Ruder, Martha S. Linet, Meir J. Stampfer, Robert C. Kurtz, Donald A. Barkauskas, Lisa W. Chu, Montserrat Garcia-Closas, Jason W. Hoskins, Melissa A. Austin, Kyoung Mu Lee, Jianxin Shi, Charles S. Fuchs, Nathaniel Rothman, Richard Gorlick, Piero Picci, Gianluca Severi, Ann G. Schwartz, Jian Gu, Christopher I. Amos, Marie-Christine Boutron-Ruault, Salvatore Panico, Alicja Wolk, Sara S. 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Male ,SINGLE-NUCLEOTIDE POLYMORPHISM ,Genome-wide association study ,Epigenesis, Genetic ,Gene Frequency ,Molecular Biology ,Genetics ,Genetics (clinical) ,Neoplasms ,Odds Ratio ,Genome-wide association studies (GWAS) ,Telomerase ,DNA METHYLATION Author Information ,Association Studies Articles ,General Medicine ,PANCREATIC-CANCER ,PROSTATE-CANCER ,Neoplasm Proteins ,POSTMENOPAUSAL BREAST-CANCER ,TERT PROMOTER MUTATIONS ,Gene Expression Regulation, Neoplastic ,2 SUSCEPTIBILITY LOCI ,DNA methylation ,Chromosomes, Human, Pair 5 ,Female ,Risk ,Locus (genetics) ,Single-nucleotide polymorphism ,TERT and CLPTM1L gene ,Biology ,Polymorphism, Single Nucleotide ,LUNG-CANCER ,Humans ,Genetic Predisposition to Disease ,GENOME-WIDE ASSOCIATION ,Allele ,Gene ,Allele frequency ,Alleles ,Genetic association ,chromosome 5p15.33 ,Computational Biology ,Membrane Proteins ,DNA Methylation ,Genetic Loci ,TELOMERE LENGTH ,Genome-Wide Association Study - Abstract
Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 x 10(-39); Region 3: rs2853677, P = 3.30 x 10(-36) and PConditional = 2.36 x 10(-8); Region 4: rs2736098, P = 3.87 x 10(-12) and PConditional = 5.19 x 10(-6), Region 5: rs13172201, P = 0.041 and PConditional = 2.04 x 10(-6); and Region 6: rs10069690, P = 7.49 x 10(-15) and PConditional = 5.35 x 10(-7)) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 x 10(-18) and PConditional = 7.06 x 10(-16)). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.
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- 2014
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31. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types
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Teras, Jin Hee Kim, Qiuyin Cai, Sampson, J.N., Wheeler, W.A., Yeager, M., Panagiotou, O., Wang, Z., Berndt, S.I., Lan, Q., Abnet, C.C., Amundadottir, L.T., Figueroa, J.D., Landi, M.T., Mirabello, L., Savage, S.A., Taylor, P.R., De Vivo, I., McGlynn, K.A., Purdue, M.P., Rajaraman, P., Adami, H.-O., Ahlbom, A., Albanes, D., Amary, M.F., An, S.-J., Andersson, U., Andriole, G., Jr., Andrulis, I.L., Angelucci, E., Ansell, S.M., Arici, C., Armstrong, B.K., Arslan, A.A., Austin, M.A., Baris, D., Barkauskas, D.A., Bassig, B.A., Becker, N., Benavente, Y., Benhamou, S., Berg, C., Van Den Berg, D., Bernstein, L., Bertrand, K.A., Birmann, B.M., Black, A., Boeing, H., Boffetta, P., Boutron-Ruault, M.-C., Bracci, P.M., Brinton, L., Brooks-Wilson, A.R., Bueno-De-Mesquita, H.B., Burdett, L., Buring, J., Butler, M.A., Cai, Q., Cancel-Tassin, G., Canzian, F., Carrato, A., Carreon, T., Carta, A., Chan, J.K.C., Chang, E.T., Chang, G.-C., Chang, I.S., Chang, J., Chang-Claude, J., Chen, C.-J., Chen, C.-Y., 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S., Linet, M.S., Link, B.K., Liu, C., Liu, J., Liu, L., Ljungberg, B., Lloreta, J., Di Lollo, S., Lu, D., Lund, E., Malats, N., Mannisto, S., Marchand, L.L., Marina, N., Masala, G., Mastrangelo, G., Matsuo, K., Maynadie, M., McKay, J., McKean-Cowdin, R., Melbye, M., Melin, B.S., Michaud, D.S., Mitsudomi, T., Monnereau, A., Montalvan, R., Moore, L.E., Mortensen, L.M., Nieters, A., North, K.E., Novak, A.J., Oberg, A.L., Offit, K., Oh, I.-J., Olson, S.H., Palli, D., Pao, W., Park, I.K., Park, J.Y., Park, K.H., Patiño-Garcia, A., Pavanello, S., Peeters, P.H.M., Perng, R.-P., Peters, U., Petersen, G.M., Picci, P., Pike, M.C., Porru, S., Prescott, J., Prokunina-Olsson, L., Qian, B., Qiao, Y.-L., Rais, M., Riboli, E., Riby, J., Risch, H.A., Rizzato, C., Rodabough, R., Roman, E., Roupret, M., Ruder, A.M., De Sanjose, S., Scelo, G., Schned, A., Schumacher, F., Schwartz, K., Schwenn, M., Scotlandi, K., Seow, A., Serra, C., Serra, M., Sesso, H.D., Setiawan, V.W., Severi, G., Severson, R.K., Shanafelt, T.D., Shen, H., Shen, W., Shin, M.-H., Shiraishi, K., Shu, X.-O., Siddiq, A., Sierrasesúmaga, L., Sihoe, A.D.L., Skibola, C.F., Smith, A., Smith, M.T., Southey, M.C., Spinelli, J.J., Staines, A., Stampfer, M., Stern, M.C., Stevens, V.L., Stolzenberg-Solomon, R.S., Su, J., Su, W.-C., Sund, M., Sung, J.S., Sung, S.W., Tan, W., Tang, W., Tardón, A., Thomas, D., Thompson, C.A., Tinker, L.F., Tirabosco, R., Tjønneland, A., Travis, R.C., Trichopoulos, D., Tsai, F.-Y., Tsai, Y.-H., Tucker, M., Turner, J., Vajdic, C.M., Vermeulen, R.C.H., Villano, D.J., Vineis, P., Virtamo, J., Visvanathan, K., Wactawski-Wende, J., Wang, C., Wang, C.-L., Wang, J.-C., Wang, J., Wei, F., Weiderpass, E., Weiner, G.J., Weinstein, S., Wentzensen, N., White, E., Witzig, T.E., Wolpin, B.M., Wong, M.P., Wu, C., Wu, G., Wu, J., Wu, T., Wu, W., Wu, X., Wu, Y.-L., Wunder, J.S., Xiang, Y.-B., Xu, J., Xu, P., Yang, P.-C., Yang, T.-Y., Ye, Y., Yin, Z., Yokota, J., Yoon, H.-I., Yu, C.-J., Yu, H., Yu, K., Yuan, J.-M., Zelenetz, A., Zeleniuch-Jacquotte, A., Zhang, X.-C., Zhang, Y., Zhao, X., Zhao, Z., Zheng, H., Zheng, T., Zheng, W., Zhou, B., Zhu, M., Zucca, M., Boca, S.M., Cerhan, J.R., Ferri, G.M., Hartge, P., Hsiung, C.A., Magnani, C., Miligi, L., Morton, L.M., Smedby, K.E., Teras, L.R., Vijai, J., Wang, S.S., Brennan, P., Caporaso, N.E., Hunter, D.J., Kraft, P., Rothman, N., Silverman, D.T., Slager, S.L., Chanock, S.J., Chatterjee, N., Infection & Immunity, dIRAS RA-I&I RA, LS IRAS EEPI GRA (Gezh.risico-analyse), and Risk Assessment
- Subjects
Male ,Cancer Research ,Lung Neoplasms ,Lymphoma ,Genome-wide association study ,Polymorphism (computer science) ,Neoplasms ,Medicine ,Chronic ,Genetics ,Osteosarcoma ,Oncology And Carcinogenesis ,Leukemia ,Smoking ,Family aggregation ,Single Nucleotide ,Middle Aged ,Familial risk ,Diffuse ,Kidney Neoplasms ,Lymphocytic ,Oncology ,Adult ,Aged ,Asian Continental Ancestry Group ,Bone Neoplasms ,European Continental Ancestry Group ,Female ,Humans ,Leukemia, Lymphocytic, Chronic, B-Cell ,Lymphoma, Large B-Cell, Diffuse ,Polymorphism, Single Nucleotide ,Testicular Neoplasms ,Tissue Array Analysis ,Urinary Bladder Neoplasms ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Genetic correlation ,Large B-Cell ,Oncology & Carcinogenesis ,Polymorphism ,business.industry ,Extramural ,B-Cell ,Cancer ,Heritability ,Genome-wide association studies for thirteen cancer types ,medicine.disease ,business - Abstract
BACKGROUND: Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.METHODS: Between 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.RESULTS: GWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.CONCLUSION: Our results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.
- Published
- 2015
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