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1. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma

Author

Cerhan, James R, Berndt, Sonja I, Vijai, Joseph, Ghesquières, Hervé, McKay, James, Wang, Sophia S, Wang, Zhaoming, Yeager, Meredith, Conde, Lucia, de Bakker, Paul IW, Nieters, Alexandra, Cox, David, Burdett, Laurie, Monnereau, Alain, Flowers, Christopher R, De Roos, Anneclaire J, Brooks-Wilson, Angela R, Lan, Qing, Severi, Gianluca, Melbye, Mads, Gu, Jian, Jackson, Rebecca D, Kane, Eleanor, Teras, Lauren R, Purdue, Mark P, Vajdic, Claire M, Spinelli, John J, Giles, Graham G, Albanes, Demetrius, Kelly, Rachel S, Zucca, Mariagrazia, Bertrand, Kimberly A, Zeleniuch-Jacquotte, Anne, Lawrence, Charles, Hutchinson, Amy, Zhi, Degui, Habermann, Thomas M, Link, Brian K, Novak, Anne J, Dogan, Ahmet, Asmann, Yan W, Liebow, Mark, Thompson, Carrie A, Ansell, Stephen M, Witzig, Thomas E, Weiner, George J, Veron, Amelie S, Zelenika, Diana, Tilly, Hervé, Haioun, Corinne, Molina, Thierry Jo, Hjalgrim, Henrik, Glimelius, Bengt, Adami, Hans-Olov, Bracci, Paige M, Riby, Jacques, Smith, Martyn T, Holly, Elizabeth A, Cozen, Wendy, Hartge, Patricia, Morton, Lindsay M, Severson, Richard K, Tinker, Lesley F, North, Kari E, Becker, Nikolaus, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, Staines, Anthony, Lightfoot, Tracy, Crouch, Simon, Smith, Alex, Roman, Eve, Diver, W Ryan, Offit, Kenneth, Zelenetz, Andrew, Klein, Robert J, Villano, Danylo J, Zheng, Tongzhang, Zhang, Yawei, Holford, Theodore R, Kricker, Anne, Turner, Jenny, Southey, Melissa C, Clavel, Jacqueline, Virtamo, Jarmo, Weinstein, Stephanie, Riboli, Elio, Vineis, Paolo, Kaaks, Rudolph, Trichopoulos, Dimitrios, Vermeulen, Roel CH, Boeing, Heiner, Tjonneland, Anne, Angelucci, Emanuele, Di Lollo, Simonetta, Rais, Marco, and Birmann, Brenda M

Subjects
Biological Sciences, Genetics, Prevention, Cancer Genomics, Rare Diseases, Human Genome, Lymphoma, Cancer, Lymphatic Research, Hematology, 2.1 Biological and endogenous factors, Chromosome Mapping, Computational Biology, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Likelihood Functions, Lymphoma, Large B-Cell, Diffuse, Polymorphism, Single Nucleotide, Quantitative Trait Loci, White People, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10(-21)), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10(-10)), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10(-8)) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10(-13) and 3.63 × 10(-11), respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL.

Published
2014

2. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia

Author

Berndt, Sonja I, Skibola, Christine F, Joseph, Vijai, Camp, Nicola J, Nieters, Alexandra, Wang, Zhaoming, Cozen, Wendy, Monnereau, Alain, Wang, Sophia S, Kelly, Rachel S, Lan, Qing, Teras, Lauren R, Chatterjee, Nilanjan, Chung, Charles C, Yeager, Meredith, Brooks-Wilson, Angela R, Hartge, Patricia, Purdue, Mark P, Birmann, Brenda M, Armstrong, Bruce K, Cocco, Pierluigi, Zhang, Yawei, Severi, Gianluca, Zeleniuch-Jacquotte, Anne, Lawrence, Charles, Burdette, Laurie, Yuenger, Jeffrey, Hutchinson, Amy, Jacobs, Kevin B, Call, Timothy G, Shanafelt, Tait D, Novak, Anne J, Kay, Neil E, Liebow, Mark, Wang, Alice H, Smedby, Karin E, Adami, Hans-Olov, Melbye, Mads, Glimelius, Bengt, Chang, Ellen T, Glenn, Martha, Curtin, Karen, Cannon-Albright, Lisa A, Jones, Brandt, Diver, W Ryan, Link, Brian K, Weiner, George J, Conde, Lucia, Bracci, Paige M, Riby, Jacques, Holly, Elizabeth A, Smith, Martyn T, Jackson, Rebecca D, Tinker, Lesley F, Benavente, Yolanda, Becker, Nikolaus, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, McKay, James, Staines, Anthony, Rabe, Kari G, Achenbach, Sara J, Vachon, Celine M, Goldin, Lynn R, Strom, Sara S, Lanasa, Mark C, Spector, Logan G, Leis, Jose F, Cunningham, Julie M, Weinberg, J Brice, Morrison, Vicki A, Caporaso, Neil E, Norman, Aaron D, Linet, Martha S, De Roos, Anneclaire J, Morton, Lindsay M, Severson, Richard K, Riboli, Elio, Vineis, Paolo, Kaaks, Rudolph, Trichopoulos, Dimitrios, Masala, Giovanna, Weiderpass, Elisabete, Chirlaque, María-Dolores, Vermeulen, Roel CH, Travis, Ruth C, Giles, Graham G, Albanes, Demetrius, Virtamo, Jarmo, Weinstein, Stephanie, Clavel, Jacqueline, Zheng, Tongzhang, Holford, Theodore R, Offit, Kenneth, Zelenetz, Andrew, Klein, Robert J, Spinelli, John J, and Bertrand, Kimberly A

Subjects
Biological Sciences, Genetics, Lymphatic Research, Cancer Genomics, Cancer, Hematology, Prevention, Lymphoma, Rare Diseases, Human Genome, Case-Control Studies, Chromosomes, Human, Pair 2, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Leukemia, Lymphocytic, Chronic, B-Cell, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Recombination, Genetic, Risk, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P=1.22×10(-14)), 18q21.33 (BCL2, P=7.76×10(-11)), 11p15.5 (C11orf21, P=2.15×10(-10)), 4q25 (LEF1, P=4.24×10(-10)), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P=2.50×10(-9)), 9p21.3 (CDKN2B-AS1, P=1.27×10(-8)), 18q21.32 (PMAIP1, P=2.51×10(-8)), 15q15.1 (BMF, P=2.71×10(-10)) and 2p22.2 (QPCT, P=1.68×10(-8)), as well as an independent signal at an established locus (2q13, ACOXL, P=2.08×10(-18)). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P=5.40×10(-8)) and 5p15.33 (TERT, P=1.92×10(-7)). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.

Published
2013

3. Genome-wide association study of follicular lymphoma identifies a risk locus at 6p21.32

Author

Conde, Lucia, Halperin, Eran, Akers, Nicholas K, Brown, Kevin M, Smedby, Karin E, Rothman, Nathaniel, Nieters, Alexandra, Slager, Susan L, Brooks-Wilson, Angela, Agana, Luz, Riby, Jacques, Liu, Jianjun, Adami, Hans-Olov, Darabi, Hatef, Hjalgrim, Henrik, Low, Hui-Qi, Humphreys, Keith, Melbye, Mads, Chang, Ellen T, Glimelius, Bengt, Cozen, Wendy, Davis, Scott, Hartge, Patricia, Morton, Lindsay M, Schenk, Maryjean, Wang, Sophia S, Armstrong, Bruce, Kricker, Anne, Milliken, Sam, Purdue, Mark P, Vajdic, Claire M, Boyle, Peter, Lan, Qing, Zahm, Shelia H, Zhang, Yawei, Zheng, Tongzhang, Becker, Nikolaus, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Butterbach, Katja, Cocco, Pierluigi, Foretova, Lenka, Maynadié, Marc, de Sanjosé, Silvia, Staines, Anthony, Spinelli, John J, Achenbach, Sara J, Call, Timothy G, Camp, Nicola J, Glenn, Martha, Caporaso, Neil E, Cerhan, James R, Cunningham, Julie M, Goldin, Lynn R, Hanson, Curtis A, Kay, Neil E, Lanasa, Mark C, Leis, Jose F, Marti, Gerald E, Rabe, Kari G, Rassenti, Laura Z, Spector, Logan G, Strom, Sara S, Vachon, Celine M, Weinberg, J Brice, Holly, Elizabeth A, Chanock, Stephen, Smith, Martyn T, Bracci, Paige M, and Skibola, Christine F

Subjects
Biological Sciences, Genetics, Rare Diseases, Lymphatic Research, Lymphoma, Human Genome, Prevention, Cancer, Hematology, 2.1 Biological and endogenous factors, Disease Susceptibility, Genetic Variation, Genome-Wide Association Study, Humans, Leukemia, Lymphocytic, Chronic, B-Cell, Lymphoma, Follicular, Lymphoma, Non-Hodgkin, Major Histocompatibility Complex, Risk Factors, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

To identify susceptibility loci for non-Hodgkin lymphoma subtypes, we conducted a three-stage genome-wide association study. We identified two variants associated with follicular lymphoma at 6p21.32 (rs10484561, combined P = 1.12 x 10(-29) and rs7755224, combined P = 2.00 x 10(-19); r(2) = 1.0), supporting the idea that major histocompatibility complex genetic variation influences follicular lymphoma susceptibility. We also found confirmatory evidence of a previously reported association between chronic lymphocytic leukemia/small lymphocytic lymphoma and rs735665 (combined P = 4.24 x 10(-9)).

Published
2010

4. A genome-wide association study identifies pancreatic cancer susceptibility loci on chromosomes 13q22.1, 1q32.1 and 5p15.33.

Author

Petersen, Gloria M, Amundadottir, Laufey, Fuchs, Charles S, Kraft, Peter, Stolzenberg-Solomon, Rachael Z, Jacobs, Kevin B, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gallinger, Steven, Gross, Myron, Helzlsouer, Kathy, Holly, Elizabeth A, Jacobs, Eric J, Klein, Alison P, LaCroix, Andrea, Li, Donghui, Mandelson, Margaret T, Olson, Sara H, Risch, Harvey A, Zheng, Wei, Albanes, Demetrius, Bamlet, William R, Berg, Christine D, Boutron-Ruault, Marie-Christine, Buring, Julie E, Bracci, Paige M, Canzian, Federico, Clipp, Sandra, Cotterchio, Michelle, de Andrade, Mariza, Duell, Eric J, Gaziano, J Michael, Giovannucci, Edward L, Goggins, Michael, Hallmans, Göran, Hankinson, Susan E, Hassan, Manal, Howard, Barbara, Hunter, David J, Hutchinson, Amy, Jenab, Mazda, Kaaks, Rudolf, Kooperberg, Charles, Krogh, Vittorio, Kurtz, Robert C, Lynch, Shannon M, McWilliams, Robert R, Mendelsohn, Julie B, Michaud, Dominique S, Parikh, Hemang, Patel, Alpa V, Peeters, Petra HM, Rajkovic, Aleksandar, Riboli, Elio, Rodriguez, Laudina, Seminara, Daniela, Shu, Xiao-Ou, Thomas, Gilles, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Van Den Eeden, Stephen K, Virtamo, Jarmo, Wactawski-Wende, Jean, Wang, Zhaoming, Wolpin, Brian M, Yu, Herbert, Yu, Kai, Zeleniuch-Jacquotte, Anne, Fraumeni, Joseph F, Hoover, Robert N, Hartge, Patricia, and Chanock, Stephen J

Subjects
Chromosomes, Human, Pair 1, Chromosomes, Human, Pair 5, Chromosomes, Human, Pair 13, Humans, Carcinoma, Pancreatic Neoplasms, Genetic Predisposition to Disease, Case-Control Studies, Cohort Studies, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Loci, Rare Diseases, Cancer, Genetics, Clinical Research, Pancreatic Cancer, Digestive Diseases, Human Genome, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We conducted a genome-wide association study of pancreatic cancer in 3,851 affected individuals (cases) and 3,934 unaffected controls drawn from 12 prospective cohort studies and 8 case-control studies. Based on a logistic regression model for genotype trend effect that was adjusted for study, age, sex, self-described ancestry and five principal components, we identified eight SNPs that map to three loci on chromosomes 13q22.1, 1q32.1 and 5p15.33. Two correlated SNPs, rs9543325 (P = 3.27 x 10(-11), per-allele odds ratio (OR) 1.26, 95% CI 1.18-1.35) and rs9564966 (P = 5.86 x 10(-8), per-allele OR 1.21, 95% CI 1.13-1.30), map to a nongenic region on chromosome 13q22.1. Five SNPs on 1q32.1 map to NR5A2, and the strongest signal was at rs3790844 (P = 2.45 x 10(-10), per-allele OR 0.77, 95% CI 0.71-0.84). A single SNP, rs401681 (P = 3.66 x 10(-7), per-allele OR 1.19, 95% CI 1.11-1.27), maps to the CLPTM1L-TERT locus on 5p15.33, which is associated with multiple cancers. Our study has identified common susceptibility loci for pancreatic cancer that warrant follow-up studies.

Published
2010

5. Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer.

Author

Amundadottir, Laufey, Kraft, Peter, Stolzenberg-Solomon, Rachael Z, Fuchs, Charles S, Petersen, Gloria M, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Zheng, Wei, Albanes, Demetrius, Bamlet, William, Berg, Christine D, Berrino, Franco, Bingham, Sheila, Buring, Julie E, Bracci, Paige M, Canzian, Federico, Clavel-Chapelon, Françoise, Clipp, Sandra, Cotterchio, Michelle, de Andrade, Mariza, Duell, Eric J, Fox, John W, Gallinger, Steven, Gaziano, J Michael, Giovannucci, Edward L, Goggins, Michael, González, Carlos A, Hallmans, Göran, Hankinson, Susan E, Hassan, Manal, Holly, Elizabeth A, Hunter, David J, Hutchinson, Amy, Jackson, Rebecca, Jacobs, Kevin B, Jenab, Mazda, Kaaks, Rudolf, Klein, Alison P, Kooperberg, Charles, Kurtz, Robert C, Li, Donghui, Lynch, Shannon M, Mandelson, Margaret, McWilliams, Robert R, Mendelsohn, Julie B, Michaud, Dominique S, Olson, Sara H, Overvad, Kim, Patel, Alpa V, Peeters, Petra HM, Rajkovic, Aleksandar, Riboli, Elio, Risch, Harvey A, Shu, Xiao-Ou, Thomas, Gilles, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Van Den Eeden, Stephen K, Virtamo, Jarmo, Wactawski-Wende, Jean, Wolpin, Brian M, Yu, Herbert, Yu, Kai, Zeleniuch-Jacquotte, Anne, Chanock, Stephen J, Hartge, Patricia, and Hoover, Robert N

Subjects
Chromosomes, Human, Pair 9, Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, ABO Blood-Group System, Logistic Models, Odds Ratio, Risk Factors, Case-Control Studies, Cohort Studies, Prospective Studies, Gene Frequency, Genotype, Haplotypes, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Alleles, Introns, United States, Female, Male, Genetic Variation, Genome-Wide Association Study, Prevention, Rare Diseases, Cancer, Genetics, Clinical Research, Pancreatic Cancer, Digestive Diseases, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We conducted a two-stage genome-wide association study of pancreatic cancer, a cancer with one of the lowest survival rates worldwide. We genotyped 558,542 SNPs in 1,896 individuals with pancreatic cancer and 1,939 controls drawn from 12 prospective cohorts plus one hospital-based case-control study. We conducted a combined analysis of these groups plus an additional 2,457 affected individuals and 2,654 controls from eight case-control studies, adjusting for study, sex, ancestry and five principal components. We identified an association between a locus on 9q34 and pancreatic cancer marked by the SNP rs505922 (combined P = 5.37 x 10(-8); multiplicative per-allele odds ratio 1.20; 95% confidence interval 1.12-1.28). This SNP maps to the first intron of the ABO blood group gene. Our results are consistent with earlier epidemiologic evidence suggesting that people with blood group O may have a lower risk of pancreatic cancer than those with groups A or B.

Published
2009

6. Genome-wide association study identifies multiple susceptibility loci for pancreatic cancer

Author

Wolpin, Brian M, Rizzato, Cosmeri, Kraft, Peter, Kooperberg, Charles, Petersen, Gloria M, Wang, Zhaoming, Arslan, Alan A, Beane-Freeman, Laura, Bracci, Paige M, Buring, Julie, Canzian, Federico, Duell, Eric J, Gallinger, Steven, Giles, Graham G, Goodman, Gary E, Goodman, Phyllis J, Jacobs, Eric J, Kamineni, Aruna, Klein, Alison P, Kolonel, Laurence N, Kulke, Matthew H, Li, Donghui, Malats, Núria, Olson, Sara H, Risch, Harvey A, Sesso, Howard D, Visvanathan, Kala, White, Emily, Zheng, Wei, Abnet, Christian C, Albanes, Demetrius, Andreotti, Gabriella, Austin, Melissa A, Barfield, Richard, Basso, Daniela, Berndt, Sonja I, Boutron-Ruault, Marie-Christine, Brotzman, Michelle, Büchler, Markus W, Bueno-de-Mesquita, H Bas, Bugert, Peter, Burdette, Laurie, Campa, Daniele, Caporaso, Neil E, Capurso, Gabriele, Chung, Charles, Cotterchio, Michelle, Costello, Eithne, Elena, Joanne, Funel, Niccola, Gaziano, J Michael, Giese, Nathalia A, Giovannucci, Edward L, Goggins, Michael, Gorman, Megan J, Gross, Myron, Haiman, Christopher A, Hassan, Manal, Helzlsouer, Kathy J, Henderson, Brian E, Holly, Elizabeth A, Hu, Nan, Hunter, David J, Innocenti, Federico, Jenab, Mazda, Kaaks, Rudolf, Key, Timothy J, Khaw, Kay-Tee, Klein, Eric A, Kogevinas, Manolis, Krogh, Vittorio, Kupcinskas, Juozas, Kurtz, Robert C, LaCroix, Andrea, Landi, Maria T, Landi, Stefano, Le Marchand, Loic, Mambrini, Andrea, Mannisto, Satu, Milne, Roger L, Nakamura, Yusuke, Oberg, Ann L, Owzar, Kouros, Patel, Alpa V, Peeters, Petra H M, Peters, Ulrike, Pezzilli, Raffaele, Piepoli, Ada, Porta, Miquel, Real, Francisco X, Riboli, Elio, Rothman, Nathaniel, Scarpa, Aldo, Shu, Xiao-Ou, Silverman, Debra T, Soucek, Pavel, Sund, Malin, Talar-Wojnarowska, Renata, Taylor, Philip R, Theodoropoulos, George E, Thornquist, Mark, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Vodicka, Pavel, Wactawski-Wende, Jean, Wentzensen, Nicolas, Wu, Chen, Yu, Herbert, Yu, Kai, Zeleniuch-Jacquotte, Anne, Hoover, Robert, Hartge, Patricia, Fuchs, Charles, Chanock, Stephen J, Stolzenberg-Solomon, Rachael S, and Amundadottir, Laufey T

Published
2014
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7. Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studies.

Author

Chatterjee N, Wheeler B, Sampson J, Hartge P, Chanock SJ, and Park JH

Subjects
Female, Humans, Models, Genetic, Risk Assessment, Risk Factors, Algorithms, Disease genetics, Genome-Wide Association Study, Models, Statistical, Multifactorial Inheritance genetics
Abstract

We report a new method to estimate the predictive performance of polygenic models for risk prediction and assess predictive performance for ten complex traits or common diseases. Using estimates of effect-size distribution and heritability derived from current studies, we project that although 45% of the variance of height has been attributed to SNPs, a model trained on one million people may only explain 33.4% of variance of the trait. Models based on current studies allow for identification of 3.0%, 1.1% and 7.0% of the populations at twofold or higher than average risk for type 2 diabetes, coronary artery disease and prostate cancer, respectively. Tripling of sample sizes could elevate these percentages to 18.8%, 6.1% and 12.2%, respectively. The utility of polygenic models for risk prediction will depend on achievable sample sizes for the training data set, the underlying genetic architecture and the inclusion of information on other risk factors, including family history.

Published
2013
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8. Detectable clonal mosaicism and its relationship to aging and cancer.

Author

Jacobs KB, Yeager M, Zhou W, Wacholder S, Wang Z, Rodriguez-Santiago B, Hutchinson A, Deng X, Liu C, Horner MJ, Cullen M, Epstein CG, Burdett L, Dean MC, Chatterjee N, Sampson J, Chung CC, Kovaks J, Gapstur SM, Stevens VL, Teras LT, Gaudet MM, Albanes D, Weinstein SJ, Virtamo J, Taylor PR, Freedman ND, Abnet CC, Goldstein AM, Hu N, Yu K, Yuan JM, Liao L, Ding T, Qiao YL, Gao YT, Koh WP, Xiang YB, Tang ZZ, Fan JH, Aldrich MC, Amos C, Blot WJ, Bock CH, Gillanders EM, Harris CC, Haiman CA, Henderson BE, Kolonel LN, Le Marchand L, McNeill LH, Rybicki BA, Schwartz AG, Signorello LB, Spitz MR, Wiencke JK, Wrensch M, Wu X, Zanetti KA, Ziegler RG, Figueroa JD, Garcia-Closas M, Malats N, Marenne G, Prokunina-Olsson L, Baris D, Schwenn M, Johnson A, Landi MT, Goldin L, Consonni D, Bertazzi PA, Rotunno M, Rajaraman P, Andersson U, Beane Freeman LE, Berg CD, Buring JE, Butler MA, Carreon T, Feychting M, Ahlbom A, Gaziano JM, Giles GG, Hallmans G, Hankinson SE, Hartge P, Henriksson R, Inskip PD, Johansen C, Landgren A, McKean-Cowdin R, Michaud DS, Melin BS, Peters U, Ruder AM, Sesso HD, Severi G, Shu XO, Visvanathan K, White E, Wolk A, Zeleniuch-Jacquotte A, Zheng W, Silverman DT, Kogevinas M, Gonzalez JR, Villa O, Li D, Duell EJ, Risch HA, Olson SH, Kooperberg C, Wolpin BM, Jiao L, Hassan M, Wheeler W, Arslan AA, Bueno-de-Mesquita HB, Fuchs CS, Gallinger S, Gross MD, Holly EA, Klein AP, LaCroix A, Mandelson MT, Petersen G, Boutron-Ruault MC, Bracci PM, Canzian F, Chang K, Cotterchio M, Giovannucci EL, Goggins M, Hoffman Bolton JA, Jenab M, Khaw KT, Krogh V, Kurtz RC, McWilliams RR, Mendelsohn JB, Rabe KG, Riboli E, Tjønneland A, Tobias GS, Trichopoulos D, Elena JW, Yu H, Amundadottir L, Stolzenberg-Solomon RZ, Kraft P, Schumacher F, Stram D, Savage SA, Mirabello L, Andrulis IL, Wunder JS, Patiño García A, Sierrasesúmaga L, Barkauskas DA, Gorlick RG, Purdue M, Chow WH, Moore LE, Schwartz KL, Davis FG, Hsing AW, Berndt SI, Black A, Wentzensen N, Brinton LA, Lissowska J, Peplonska B, McGlynn KA, Cook MB, Graubard BI, Kratz CP, Greene MH, Erickson RL, Hunter DJ, Thomas G, Hoover RN, Real FX, Fraumeni JF Jr, Caporaso NE, Tucker M, Rothman N, Pérez-Jurado LA, and Chanock SJ

Subjects
Aged, Chromosome Aberrations, Female, Humans, Male, Middle Aged, Neoplasms genetics, Risk, Aging genetics, Mosaicism
Abstract

In an analysis of 31,717 cancer cases and 26,136 cancer-free controls from 13 genome-wide association studies, we observed large chromosomal abnormalities in a subset of clones in DNA obtained from blood or buccal samples. We observed mosaic abnormalities, either aneuploidy or copy-neutral loss of heterozygosity, of >2 Mb in size in autosomes of 517 individuals (0.89%), with abnormal cell proportions of between 7% and 95%. In cancer-free individuals, frequency increased with age, from 0.23% under 50 years to 1.91% between 75 and 79 years (P = 4.8 × 10(-8)). Mosaic abnormalities were more frequent in individuals with solid tumors (0.97% versus 0.74% in cancer-free individuals; odds ratio (OR) = 1.25; P = 0.016), with stronger association with cases who had DNA collected before diagnosis or treatment (OR = 1.45; P = 0.0005). Detectable mosaicism was also more common in individuals for whom DNA was collected at least 1 year before diagnosis with leukemia compared to cancer-free individuals (OR = 35.4; P = 3.8 × 10(-11)). These findings underscore the time-dependent nature of somatic events in the etiology of cancer and potentially other late-onset diseases.

Published
2012
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9. Genetics of reproductive lifespan.

Author

Hartge P

Subjects
Aging physiology, Body Weight, Chromosome Mapping, Chromosomes, Human genetics, Female, Genome-Wide Association Study, Humans, Menarche physiology, Menopause physiology, Ovary growth & development, Ovary physiology, Weight Gain genetics, Longevity genetics, Reproduction genetics
Published
2009
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10. A road map for efficient and reliable human genome epidemiology.

Author

Ioannidis JP, Gwinn M, Little J, Higgins JP, Bernstein JL, Boffetta P, Bondy M, Bray MS, Brenchley PE, Buffler PA, Casas JP, Chokkalingam A, Danesh J, Smith GD, Dolan S, Duncan R, Gruis NA, Hartge P, Hashibe M, Hunter DJ, Jarvelin MR, Malmer B, Maraganore DM, Newton-Bishop JA, O'Brien TR, Petersen G, Riboli E, Salanti G, Seminara D, Smeeth L, Taioli E, Timpson N, Uitterlinden AG, Vineis P, Wareham N, Winn DM, Zimmern R, and Khoury MJ

Subjects
Databases, Factual, Genetic Predisposition to Disease, Human Genome Project, Humans, MEDLINE, Research Design, Epidemiologic Methods, Genome, Human
Abstract

Networks of investigators have begun sharing best practices, tools and methods for analysis of associations between genetic variation and common diseases. A Network of Investigator Networks has been set up to drive the process, sponsored by the Human Genome Epidemiology Network. A workshop is planned to develop consensus guidelines for reporting results of genetic association studies. Published literature databases will be integrated, and unpublished data, including 'negative' studies, will be captured by online journals and through investigator networks. Systematic reviews will be expanded to include more meta-analyses of individual-level data and prospective meta-analyses. Field synopses will offer regularly updated overviews.

Published
2006
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11. The APCI1307K allele and cancer risk in a community-based study of Ashkenazi Jews.

Author

Woodage T, King SM, Wacholder S, Hartge P, Struewing JP, McAdams M, Laken SJ, Tucker MA, and Brody LC

Subjects
Adenomatous Polyposis Coli Protein, Adult, Aged, Aged, 80 and over, Alleles, BRCA1 Protein genetics, Breast Neoplasms ethnology, Breast Neoplasms genetics, Colorectal Neoplasms ethnology, Colorectal Neoplasms genetics, Europe ethnology, Female, Genetic Predisposition to Disease, Heterozygote, Humans, Male, Middle Aged, Odds Ratio, Cytoskeletal Proteins genetics, Jews genetics, Mutation, Neoplasms ethnology, Neoplasms genetics
Abstract

Mutations in APC are classically associated with familial adenomatous polyposis (FAP), a highly penetrant autosomal dominant disorder characterized by multiple intestinal polyps and, without surgical intervention, the development of colorectal cancer (CRC). APC is a tumour-suppressor gene, and somatic loss occurs in tumours. The germline T-to-A transversion responsible for the APC I1307K allele converts the wild-type sequence to a homopolymer tract (A8) that is genetically unstable and prone to somatic mutation. The I1307K allele was found in 6.1% of unselected Ashkenazi Jews and higher proportions of Ashkenazim with family or personal histories of CRC (ref. 2). To evaluate the role of I1307K in cancer, we genotyped 5,081 Ashkenazi volunteers in a community survey. Risk of developing colorectal, breast and other cancers were compared between genotyped I1307K carriers and non-carriers and their first-degree relatives.

Published
1998
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