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222 results on '"Signorello, LB"'

1. Healthy Eating and Risks of Total and Cause-Specific Death among Low-Income Populations of African-Americans and Other Adults in the Southeastern United States: A Prospective Cohort Study.

Author: Shu, Xiaokun, Yu, D, Sonderman, J, Buchowski, MS, McLaughlin, JK, Shu, X-O, Steinwandel, M, Signorello, LB, Zhang, X, Hargreaves, MK, and Blot, WJ
Abstract: A healthy diet, as defined by the US Dietary Guidelines for Americans (DGA), has been associated with lower morbidity and mortality from major chronic diseases in studies conducted in predominantly non-Hispanic white individuals. It is unknown whether this
Published: 2015

2. Genome-wide meta-analyses of smoking behaviors in African Americans.

Author: David, SP, Hamidovic, A, Chen, GK, Bergen, AW, Wessel, J, Kasberger, JL, Brown, WM, Petruzella, S, Thacker, EL, Kim, Y, Nalls, MA, Tranah, GJ, Sung, YJ, Ambrosone, CB, Arnett, D, Bandera, EV, Becker, DM, Becker, L, Berndt, SI, Bernstein, L, Blot, WJ, Broeckel, U, Buxbaum, SG, Caporaso, N, Casey, G, Chanock, SJ, Deming, SL, Diver, WR, Eaton, CB, Evans, DS, Evans, MK, Fornage, M, Franceschini, N, Harris, TB, Henderson, BE, Hernandez, DG, Hitsman, B, Hu, JJ, Hunt, SC, Ingles, SA, John, EM, Kittles, R, Kolb, S, Kolonel, LN, Le Marchand, L, Liu, Y, Lohman, KK, McKnight, B, Millikan, RC, Murphy, A, Neslund-Dudas, C, Nyante, S, Press, M, Psaty, BM, Rao, DC, Redline, S, Rodriguez-Gil, JL, Rybicki, BA, Signorello, LB, Singleton, AB, Smoller, J, Snively, B, Spring, B, Stanford, JL, Strom, SS, Swan, GE, Taylor, KD, Thun, MJ, Wilson, AF, Witte, JS, Yamamura, Y, Yanek, LR, Yu, K, Zheng, W, Ziegler, RG, Zonderman, AB, Jorgenson, E, Haiman, CA, and Furberg, H
Subjects: Chromosomes, Human, Pair 10, Chromosomes, Human, Pair 15, Humans, Genetic Predisposition to Disease, Proteoglycans, Receptors, Nicotinic, Nerve Tissue Proteins, Smoking, Genotype, Phenotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, African Americans, Female, Male, Statistics as Topic, Genetic Variation, Genome-Wide Association Study, Genetic Loci, African American, genome-wide association, health disparities, nicotine, smoking, tobacco, Chromosomes, Human, Pair 10, Pair 15, Polymorphism, Single Nucleotide, Receptors, Nicotinic, Clinical Sciences, Public Health and Health Services, Psychology
Abstract: The identification and exploration of genetic loci that influence smoking behaviors have been conducted primarily in populations of the European ancestry. Here we report results of the first genome-wide association study meta-analysis of smoking behavior in African Americans in the Study of Tobacco in Minority Populations Genetics Consortium (n = 32,389). We identified one non-coding single-nucleotide polymorphism (SNP; rs2036527[A]) on chromosome 15q25.1 associated with smoking quantity (cigarettes per day), which exceeded genome-wide significance (β = 0.040, s.e. = 0.007, P = 1.84 × 10(-8)). This variant is present in the 5'-distal enhancer region of the CHRNA5 gene and defines the primary index signal reported in studies of the European ancestry. No other SNP reached genome-wide significance for smoking initiation (SI, ever vs never smoking), age of SI, or smoking cessation (SC, former vs current smoking). Informative associations that approached genome-wide significance included three modestly correlated variants, at 15q25.1 within PSMA4, CHRNA5 and CHRNA3 for smoking quantity, which are associated with a second signal previously reported in studies in European ancestry populations, and a signal represented by three SNPs in the SPOCK2 gene on chr10q22.1. The association at 15q25.1 confirms this region as an important susceptibility locus for smoking quantity in men and women of African ancestry. Larger studies will be needed to validate the suggestive loci that did not reach genome-wide significance and further elucidate the contribution of genetic variation to disparities in cigarette consumption, SC and smoking-attributable disease between African Americans and European Americans.
Published: 2012

3. Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation

Author: Gusev, A, Shi, H, Kichaev, G, Pomerantz, M, Li, F, Long, HW, Ingles, SA, Kittles, RA, Strom, SS, Rybicki, BA, Nemesure, B, Isaacs, WB, Zheng, W, Pettaway, CA, Yeboah, ED, Tettey, Y, Biritwum, RB, Adjei, AA, Tay, E, Truelove, A, Niwa, S, Chokkalingam, AP, John, EM, Murphy, AB, Signorello, LB, Carpten, J, Leske, MC, Wu, S-Y, Hennis, AJM, Neslund-Dudas, C, Hsing, AW, Chu, L, Goodman, PJ, Klein, EA, Witte, JS, Casey, G, Kaggwa, S, Cook, MB, Stram, DO, Blot, WJ, Eeles, RA, Easton, D, Kote-Jarai, Z, Al Olama, AA, Benlloch, S, Muir, K, Giles, GG, Southey, MC, Fitzgerald, LM, Gronberg, H, Wiklund, F, Aly, M, Henderson, BE, Schleutker, J, Wahlfors, T, Tammela, TLJ, Nordestgaard, BG, Key, TJ, Travis, RC, Neal, DE, Donovan, JL, Hamdy, FC, Pharoah, P, Pashayan, N, Khaw, K-T, Stanford, JL, Thibodeau, SN, McDonnell, SK, Schaid, DJ, Maier, C, Vogel, W, Luedeke, M, Herkommer, K, Kibel, AS, Cybulski, C, Wokolorczyk, D, Kluzniak, W, Cannon-Albright, L, Teerlink, C, Brenner, H, Dieffenbach, AK, Arndt, V, Park, JY, Sellers, TA, Lin, H-Y, Slavov, C, Kaneva, R, Mitev, V, Batra, J, Spurdle, A, Clements, JA, Teixeira, MR, Pandha, H, Michael, A, Paulo, P, Maia, S, Kierzek, A, Conti, DV, Albanes, D, Berg, C, Berndt, SI, Campa, D, Crawford, ED, Diver, WR, Gapstur, SM, Gaziano, JM, Giovannucci, E, Hoover, R, Hunter, DJ, Johansson, M, Kraft, P, Le Marchand, L, Lindstrom, S, Navarro, C, Overvad, K, Riboli, E, Siddiq, A, Stevens, VL, Trichopoulos, D, Vineis, P, Yeager, M, Trynka, G, Raychaudhuri, S, Schumacher, FR, Price, AL, Freedman, ML, Haiman, CA, Pasaniuc, B, Cook, M, Guy, M, Govindasami, K, Leongamornlert, D, Sawyer, EJ, Wilkinson, R, Saunders, EJ, Tymrakiewicz, M, Dadaev, T, Morgan, A, Fisher, C, Hazel, S, Livni, N, Lophatananon, A, Pedersen, J, Hopper, JL, Adolfson, J, Stattin, P, Johansson, J-E, Cavalli-Bjoerkman, C, Karlsson, A, Broms, M, Auvinen, A, Kujala, P, Maeaettaenen, L, Murtola, T, Taari, K, Weischer, M, Nielsen, SF, Klarskov, P, Roder, A, Iversen, P, Wallinder, H, Gustafsson, S, Cox, A, Brown, P, George, A, Marsden, G, Lane, A, Davis, M, Tillmans, L, Riska, S, Wang, L, Rinckleb, A, Lubiski, J, Stegmaier, C, Pow-Sang, J, Park, H, Radlein, S, Rincon, M, Haley, J, Zachariah, B, Kachakova, D, Popov, E, Mitkova, A, Vlahova, A, Dikov, T, Christova, S, Heathcote, P, Wood, G, Malone, G, Saunders, P, Eckert, A, Yeadon, T, Kerr, K, Collins, A, Turner, M, Srinivasan, S, Kedda, M-A, Alexander, K, Omara, T, Wu, H, Henrique, R, Pinto, P, Santos, J, Barros-Silva, J, and Consortium, PRACTICAL
Subjects: urologic and male genital diseases
Abstract: Although genome-wide association studies have identified over 100 risk loci that explain ~33% of familial risk for prostate cancer (PrCa), their functional effects on risk remain largely unknown. Here we use genotype data from 59,089 men of European and African American ancestries combined with cell-type-specific epigenetic data to build a genomic atlas of single-nucleotide polymorphism (SNP) heritability in PrCa. We find significant differences in heritability between variants in prostate-relevant epigenetic marks defined in normal versus tumour tissue as well as between tissue and cell lines. The majority of SNP heritability lies in regions marked by H3k27 acetylation in prostate adenoc7arcinoma cell line (LNCaP) or by DNaseI hypersensitive sites in cancer cell lines. We find a high degree of similarity between European and African American ancestries suggesting a similar genetic architecture from common variation underlying PrCa risk. Our findings showcase the power of integrating functional annotation with genetic data to understand the genetic basis of PrCa.
Published: 2016

4. Two susceptibility loci identified for prostate cancer aggressiveness

Author: Berndt, Si, Wang, Z, Yeager, M, Alavanja, Mc, Albanes, D, Amundadottir, L, Andriole, G, Beane Freeman, L, Campa, D, Cancel-Tassin, G, Canzian, F, Cornu, Jn, Cussenot, O, Diver, Wr, Gapstur, Sm, Grönberg, H, Haiman, Ca, Henderson, B, Hutchinson, A, Hunter, Dj, Key, Tj, Kolb, S, Koutros, S, Kraft, P, Le Marchand, L, Lindström, S, Machiela, Mj, Ostrander, Ea, Riboli, E, Schumacher, F, Siddiq, A, Stanford, Jl, Stevens, Vl, Travis, Rc, Tsilidis, Kk, Virtamo, J, Weinstein, S, Wilkund, F, Xu, J, Lilly Zheng, S, Yu, K, Wheeler, W, Zhang, H, African, Ancestry Prostate Cancer GWAS Consortium, Sampson, J, Black, A, Jacobs, K, Hoover, Rn, Tucker, M, Chanock, Sj. Ingles SA, Kittles, Ra, Strom, Ss, Rybicki, Ba, Nemesure, B, Isaacs, Wb, Zheng, W, Pettaway, Ca, Yeboah, Ed, Tettey, Y, Biritwum, Rb, Adjei, Aa, Tay, E, Truelove, A, Niwa, S, Chokkalingam, Ap, John, Em, Murphy, Ab, Signorello, Lb, Carpten, J, Leske, Mc, Wu, Sy, Hennis, Aj, Neslund-Dudas, C, Hsing, Aw, Chu, L, Goodman, Pj, Klein, Ea, Witte, Js, Casey, G, Kaggwa, S, Cook, Mb, Stram, Do, and Blot, Wj.
Subjects: Oncology, Male, Aging, GLEASON SCORE, LINKAGE SCAN, General Physics and Astronomy, Genome-wide association study, Disease, Bioinformatics, Prostate cancer, SEQUENCE VARIANTS, Medicine, 2.1 Biological and endogenous factors, GTPASE-ACTIVATING PROTEIN, Aetiology, POPULATION, Cancer, RISK, education.field_of_study, African Ancestry Prostate Cancer GWAS Consortium, Multidisciplinary, Prostate Cancer, 3. Good health, Multidisciplinary Sciences, Science & Technology - Other Topics, Urologic Diseases, medicine.medical_specialty, Population, Article, General Biochemistry, Genetics and Molecular Biology, GENOME-WIDE ASSOCIATION, BASE-LINE CHARACTERISTICS, COHORT, METAANALYSIS, Internal medicine, Genetics, SNP, Humans, Neoplasm Invasiveness, Genetic Predisposition to Disease, education, Pathological, Science & Technology, business.industry, Vascular disease, Prevention, Human Genome, Case-control study, Prostatic Neoplasms, General Chemistry, medicine.disease, Genetic Loci, Case-Control Studies, Neoplasm Grading, business
Abstract: Most men diagnosed with prostate cancer will experience indolent disease; hence, discovering genetic variants that distinguish aggressive from nonaggressive prostate cancer is of critical clinical importance for disease prevention and treatment. In a multistage, case-only genome-wide association study of 12,518 prostate cancer cases, we identify two loci associated with Gleason score, a pathological measure of disease aggressiveness: rs35148638 at 5q14.3 (RASA1, P=6.49 × 10(-9)) and rs78943174 at 3q26.31 (NAALADL2, P=4.18 × 10(-8)). In a stratified case-control analysis, the SNP at 5q14.3 appears specific for aggressive prostate cancer (P=8.85 × 10(-5)) with no association for nonaggressive prostate cancer compared with controls (P=0.57). The proximity of these loci to genes involved in vascular disease suggests potential biological mechanisms worthy of further investigation.
Published: 2015

5. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

Author: Michailidou, K, Beesley, J, Lindstrom, S, Canisius, S, Dennis, J, Lush, MJ, Maranian, MJ, Bolla, MK, Wang, Q, Shah, M, Perkins, BJ, Czene, K, Eriksson, M, Darabi, H, Brand, JS, Bojesen, SE, Nordestgaard, BG, Flyger, H, Nielsen, SF, Rahman, N, Turnbull, C, Fletcher, O, Peto, J, Gibson, L, dos-Santos-Silva, I, Chang-Claude, J, Flesch-Janys, D, Rudolph, A, Eilber, U, Behrens, S, Nevanlinna, H, Muranen, TA, Aittomaki, K, Blomqvist, C, Khan, S, Aaltonen, K, Ahsan, H, Kibriya, MG, Whittemore, AS, John, EM, Malone, KE, Gammon, MD, Santella, RM, Ursin, G, Makalic, E, Schmidt, DF, Casey, G, Hunter, DJ, Gapstur, SM, Gaudet, MM, Diver, WR, Haiman, CA, Schumacher, F, Henderson, BE, Le Marchand, L, Berg, CD, Chanock, SJ, Figueroa, J, Hoover, RN, Lambrechts, D, Neven, P, Wildiers, H, van Limbergen, E, Schmidt, MK, Broeks, A, Verhoef, S, Cornelissen, S, Couch, FJ, Olson, JE, Hallberg, E, Vachon, C, Waisfisz, Q, Meijers-Heijboer, H, Adank, MA, van der Luijt, RB, Li, J, Liu, J, Humphreys, K, Kang, D, Choi, J-Y, Park, SK, Yoo, K-Y, Matsuo, K, Ito, H, Iwata, H, Tajima, K, Guenel, P, Truong, T, Mulot, C, Sanchez, M, Burwinkel, B, Marme, F, Surowy, H, Sohn, C, Wu, AH, Tseng, C-C, Van den Berg, D, Stram, DO, Gonzalez-Neira, A, Benitez, J, Zamora, MP, Arias Perez, JI, Shu, X-O, Lu, W, Gao, Y-T, Cai, H, Cox, A, Cross, SS, Reed, MWR, Andrulis, IL, Knight, JA, Glendon, G, Mulligan, AM, Sawyer, EJ, Tomlinson, I, Kerin, MJ, Miller, N, Lindblom, A, Margolin, S, Teo, SH, Yip, CH, Taib, NAM, Tan, G-H, Hooning, MJ, Hollestelle, A, Martens, JWM, Collee, JM, Blot, W, Signorello, LB, Cai, Q, Hopper, JL, Southey, MC, Tsimiklis, H, Apicella, C, Shen, C-Y, Hsiung, C-N, Wu, P-E, Hou, M-F, Kristensen, VN, Nord, S, Alnaes, GIG, Giles, GG, Milne, RL, McLean, C, Canzian, F, Trichopoulos, D, Peeters, P, Lund, E, Sund, M, Khaw, K-T, Gunter, MJ, Palli, D, Mortensen, LM, Dossus, L, Huerta, J-M, Meindl, A, Schmutzler, RK, Sutter, C, Yang, R, Muir, K, Lophatananon, A, Stewart-Brown, S, Siriwanarangsan, P, Hartman, M, Miao, H, Chia, KS, Chan, CW, Fasching, PA, Hein, A, Beckmann, MW, Haeberle, L, Brenner, H, Dieffenbach, AK, Arndt, V, Stegmaier, C, Ashworth, A, Orr, N, Schoemaker, MJ, Swerdlow, AJ, Brinton, L, Garcia-Closas, M, Zheng, W, Halverson, SL, Shrubsole, M, Long, J, Goldberg, MS, Labreche, F, Dumont, M, Winqvist, R, Pylkas, K, Jukkola-Vuorinen, A, Grip, M, Brauch, H, Hamann, U, Bruening, T, Radice, P, Peterlongo, P, Manoukian, S, Bernard, L, Bogdanova, NV, Doerk, T, Mannermaa, A, Kataja, V, Kosma, V-M, Hartikainen, JM, Devilee, P, Tollenaar, RAEM, Seynaeve, C, Van Asperen, CJ, Jakubowska, A, Lubinski, J, Jaworska, K, Huzarski, T, Sangrajrang, S, Gaborieau, V, Brennan, P, Mckay, J, Slager, S, Toland, AE, Ambrosone, CB, Yannoukakos, D, Kabisch, M, Torres, D, Neuhausen, SL, Anton-Culver, H, Luccarini, C, Baynes, C, Ahmed, S, Healey, CS, Tessier, DC, Vincent, D, Bacot, F, Pita, G, Rosario Alonso, M, Alvarez, N, Herrero, D, Simard, J, Pharoah, PPDP, Kraft, P, Dunning, AM, Chenevix-Trench, G, Hall, P, Easton, DF, Michailidou, K, Beesley, J, Lindstrom, S, Canisius, S, Dennis, J, Lush, MJ, Maranian, MJ, Bolla, MK, Wang, Q, Shah, M, Perkins, BJ, Czene, K, Eriksson, M, Darabi, H, Brand, JS, Bojesen, SE, Nordestgaard, BG, Flyger, H, Nielsen, SF, Rahman, N, Turnbull, C, Fletcher, O, Peto, J, Gibson, L, dos-Santos-Silva, I, Chang-Claude, J, Flesch-Janys, D, Rudolph, A, Eilber, U, Behrens, S, Nevanlinna, H, Muranen, TA, Aittomaki, K, Blomqvist, C, Khan, S, Aaltonen, K, Ahsan, H, Kibriya, MG, Whittemore, AS, John, EM, Malone, KE, Gammon, MD, Santella, RM, Ursin, G, Makalic, E, Schmidt, DF, Casey, G, Hunter, DJ, Gapstur, SM, Gaudet, MM, Diver, WR, Haiman, CA, Schumacher, F, Henderson, BE, Le Marchand, L, Berg, CD, Chanock, SJ, Figueroa, J, Hoover, RN, Lambrechts, D, Neven, P, Wildiers, H, van Limbergen, E, Schmidt, MK, Broeks, A, Verhoef, S, Cornelissen, S, Couch, FJ, Olson, JE, Hallberg, E, Vachon, C, Waisfisz, Q, Meijers-Heijboer, H, Adank, MA, van der Luijt, RB, Li, J, Liu, J, Humphreys, K, Kang, D, Choi, J-Y, Park, SK, Yoo, K-Y, Matsuo, K, Ito, H, Iwata, H, Tajima, K, Guenel, P, Truong, T, Mulot, C, Sanchez, M, Burwinkel, B, Marme, F, Surowy, H, Sohn, C, Wu, AH, Tseng, C-C, Van den Berg, D, Stram, DO, Gonzalez-Neira, A, Benitez, J, Zamora, MP, Arias Perez, JI, Shu, X-O, Lu, W, Gao, Y-T, Cai, H, Cox, A, Cross, SS, Reed, MWR, Andrulis, IL, Knight, JA, Glendon, G, Mulligan, AM, Sawyer, EJ, Tomlinson, I, Kerin, MJ, Miller, N, Lindblom, A, Margolin, S, Teo, SH, Yip, CH, Taib, NAM, Tan, G-H, Hooning, MJ, Hollestelle, A, Martens, JWM, Collee, JM, Blot, W, Signorello, LB, Cai, Q, Hopper, JL, Southey, MC, Tsimiklis, H, Apicella, C, Shen, C-Y, Hsiung, C-N, Wu, P-E, Hou, M-F, Kristensen, VN, Nord, S, Alnaes, GIG, Giles, GG, Milne, RL, McLean, C, Canzian, F, Trichopoulos, D, Peeters, P, Lund, E, Sund, M, Khaw, K-T, Gunter, MJ, Palli, D, Mortensen, LM, Dossus, L, Huerta, J-M, Meindl, A, Schmutzler, RK, Sutter, C, Yang, R, Muir, K, Lophatananon, A, Stewart-Brown, S, Siriwanarangsan, P, Hartman, M, Miao, H, Chia, KS, Chan, CW, Fasching, PA, Hein, A, Beckmann, MW, Haeberle, L, Brenner, H, Dieffenbach, AK, Arndt, V, Stegmaier, C, Ashworth, A, Orr, N, Schoemaker, MJ, Swerdlow, AJ, Brinton, L, Garcia-Closas, M, Zheng, W, Halverson, SL, Shrubsole, M, Long, J, Goldberg, MS, Labreche, F, Dumont, M, Winqvist, R, Pylkas, K, Jukkola-Vuorinen, A, Grip, M, Brauch, H, Hamann, U, Bruening, T, Radice, P, Peterlongo, P, Manoukian, S, Bernard, L, Bogdanova, NV, Doerk, T, Mannermaa, A, Kataja, V, Kosma, V-M, Hartikainen, JM, Devilee, P, Tollenaar, RAEM, Seynaeve, C, Van Asperen, CJ, Jakubowska, A, Lubinski, J, Jaworska, K, Huzarski, T, Sangrajrang, S, Gaborieau, V, Brennan, P, Mckay, J, Slager, S, Toland, AE, Ambrosone, CB, Yannoukakos, D, Kabisch, M, Torres, D, Neuhausen, SL, Anton-Culver, H, Luccarini, C, Baynes, C, Ahmed, S, Healey, CS, Tessier, DC, Vincent, D, Bacot, F, Pita, G, Rosario Alonso, M, Alvarez, N, Herrero, D, Simard, J, Pharoah, PPDP, Kraft, P, Dunning, AM, Chenevix-Trench, G, Hall, P, and Easton, DF
Abstract: Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748 breast cancer cases and 18,084 controls together with 46,785 cases and 42,892 controls from 41 studies genotyped on a 211,155-marker custom array (iCOGS). Analyses were restricted to women of European ancestry. We generated genotypes for more than 11 million SNPs by imputation using the 1000 Genomes Project reference panel, and we identified 15 new loci associated with breast cancer at P < 5 × 10(-8). Combining association analysis with ChIP-seq chromatin binding data in mammary cell lines and ChIA-PET chromatin interaction data from ENCODE, we identified likely target genes in two regions: SETBP1 at 18q12.3 and RNF115 and PDZK1 at 1q21.1. One association appears to be driven by an amino acid substitution encoded in EXO1.
Published: 2015

6. Fine-Scale Mapping of the 5q11.2 Breast Cancer Locus Reveals at Least Three Independent Risk Variants Regulating MAP3K1

Author: Glubb, DM, Maranian, MJ, Michailidou, K, Pooley, KA, Meyer, KB, Kar, S, Carlebur, S, O'Reilly, M, Betts, JA, Hillman, KM, Kaufmann, S, Beesley, J, Canisius, S, Hopper, JL, Southey, MC, Tsimiklis, H, Apicella, C, Schmidt, MK (Marjanka), Broeks, A, Hogervorst, FB, van der Schoot, CE, Muir, K, Lophatananon, A, Stewart-Brown, S, Siriwanarangsan, P, Fasching, PA, Ruebner, M, Ekici, AB, Beckmann, MW, Peto, J, dos-Santos-Silva, I, Fletcher, O, Johnson, N, Pharoah, PDP, Bolla, MK, Wang, Q (Qing), Dennis, J, Sawyer, EJ, Tomlinson, I, Kerin, MJ, Miller, N, Burwinkel, B, Marme, F, Yang, RX, Surowy, H, Guenel, P, Truong, T, Menegaux, F, Sanchez, M, Bojesen, SE, Nordestgaard, BG, Nielsen, SF, Flyger, H, Gonzelez-Neira, A, Benitez, J, Zamora, MP, Perez, JIA, Anton-Culver, H, Neuhausen, SL, Brenner, H, Dieffenbach, AK, Arndt, V, Stegmaier, C, Meindl, A, Schmutzler, RK, Brauch, H, Ko, YD, Bruning, T, Nevanlinna, H, Muranen, TA, Aittomaki, K, Blomqvist, C, Matsuo, K, Ito, H, Iwata, H, Tanaka, H, Dork, T, Bogdanova, NV, Helbig, S, Lindblom, A, Margolin, S, Mannermaa, A, Kataja, V, Kosma, VM, Hartikainen, JM, Wu, AH, Tseng, CC, van den Berg, D, Stram, DO, Lambrechts, D, Zhao, H (Hui), Weltens, C, van Limbergen, E, Chang-Claude, J, Flesch-Janys, D, Rudolph, A, Seibold, P, Radice, P, Peterlongo, P, Barile, M, Capra, F, Couch, FJ, Olson, JE, Hallberg, E, Vachon, C, Giles, GG, Milne, RL, McLean, C, Haiman, CA, Henderson, BE, Schumacher, F, Le Marchand, L, Simard, J, Goldberg, MS, Labreche, F, Dumont, M, Teo, SH, Yip, CH, See, MH, Cornes, B, Cheng, CY (Ching-Yu), Ikram, Kamran, Kristensen, V, Zheng, W, Halverson, SL, Shrubsole, M, Long, J, Winqvist, R, Pylkas, K, Jukkola-Vuorinen, A, Kauppila, S, Andrulis, IL, Knight, JA, Glendon, G, Tchatchou, S, Devilee, P, Tollenaar, RAEM, Seynaeve, Caroline, van Asperen, CJ, Garcia-Closas, M, Figueroa, J, Chanock, SJ, Lissowska, J, Czene, K, Klevebring, D, Darabi, H, Eriksson, M, Hooning, Maartje, Hollestelle, Antoinette, Martens, John, Collee, Margriet, Hall, P, Li, JM, Humphreys, K, Shu, XO, Lu, W, Gao, YT, Cai, H, Cox, A, Cross, SS, Reed, MWR, Blot, W, Signorello, LB, Cai, QY, Shah, M, Ghoussaini, M, Kang, D, Choi, JY, Park, SK, Noh, DY, Hartman, M, Miao, H, Lim, WY, Tang, A, Hamann, U, Torres, D, Jakubowska, A, Lubinski, J, Jaworska, K, Durda, K, Sangrajrang, S, Gaborieau, V, Brennan, P, Mckay, J, Olswold, C, Slager, S, Toland, AE, Yannoukakos, D, Shen, CY, Wu, PE, Yu, JC, Hou, MF, Swerdlow, A, Ashworth, A, Orr, N, Jones, M, Pita, G, Alonso, MR, Alvarez, N, Herrero, D, Tessier, DC, Vincent, D, Bacot, F, Luccarini, C, Baynes, C, Ahmed, S (Shahana), Healey, CS, Brown, MA, Ponder, BAJ, Chenevix-Trench, G, Thompson, DJ, Edwards, SL, Easton, DF, Dunning, AM, French, JD, Glubb, DM, Maranian, MJ, Michailidou, K, Pooley, KA, Meyer, KB, Kar, S, Carlebur, S, O'Reilly, M, Betts, JA, Hillman, KM, Kaufmann, S, Beesley, J, Canisius, S, Hopper, JL, Southey, MC, Tsimiklis, H, Apicella, C, Schmidt, MK (Marjanka), Broeks, A, Hogervorst, FB, van der Schoot, CE, Muir, K, Lophatananon, A, Stewart-Brown, S, Siriwanarangsan, P, Fasching, PA, Ruebner, M, Ekici, AB, Beckmann, MW, Peto, J, dos-Santos-Silva, I, Fletcher, O, Johnson, N, Pharoah, PDP, Bolla, MK, Wang, Q (Qing), Dennis, J, Sawyer, EJ, Tomlinson, I, Kerin, MJ, Miller, N, Burwinkel, B, Marme, F, Yang, RX, Surowy, H, Guenel, P, Truong, T, Menegaux, F, Sanchez, M, Bojesen, SE, Nordestgaard, BG, Nielsen, SF, Flyger, H, Gonzelez-Neira, A, Benitez, J, Zamora, MP, Perez, JIA, Anton-Culver, H, Neuhausen, SL, Brenner, H, Dieffenbach, AK, Arndt, V, Stegmaier, C, Meindl, A, Schmutzler, RK, Brauch, H, Ko, YD, Bruning, T, Nevanlinna, H, Muranen, TA, Aittomaki, K, Blomqvist, C, Matsuo, K, Ito, H, Iwata, H, Tanaka, H, Dork, T, Bogdanova, NV, Helbig, S, Lindblom, A, Margolin, S, Mannermaa, A, Kataja, V, Kosma, VM, Hartikainen, JM, Wu, AH, Tseng, CC, van den Berg, D, Stram, DO, Lambrechts, D, Zhao, H (Hui), Weltens, C, van Limbergen, E, Chang-Claude, J, Flesch-Janys, D, Rudolph, A, Seibold, P, Radice, P, Peterlongo, P, Barile, M, Capra, F, Couch, FJ, Olson, JE, Hallberg, E, Vachon, C, Giles, GG, Milne, RL, McLean, C, Haiman, CA, Henderson, BE, Schumacher, F, Le Marchand, L, Simard, J, Goldberg, MS, Labreche, F, Dumont, M, Teo, SH, Yip, CH, See, MH, Cornes, B, Cheng, CY (Ching-Yu), Ikram, Kamran, Kristensen, V, Zheng, W, Halverson, SL, Shrubsole, M, Long, J, Winqvist, R, Pylkas, K, Jukkola-Vuorinen, A, Kauppila, S, Andrulis, IL, Knight, JA, Glendon, G, Tchatchou, S, Devilee, P, Tollenaar, RAEM, Seynaeve, Caroline, van Asperen, CJ, Garcia-Closas, M, Figueroa, J, Chanock, SJ, Lissowska, J, Czene, K, Klevebring, D, Darabi, H, Eriksson, M, Hooning, Maartje, Hollestelle, Antoinette, Martens, John, Collee, Margriet, Hall, P, Li, JM, Humphreys, K, Shu, XO, Lu, W, Gao, YT, Cai, H, Cox, A, Cross, SS, Reed, MWR, Blot, W, Signorello, LB, Cai, QY, Shah, M, Ghoussaini, M, Kang, D, Choi, JY, Park, SK, Noh, DY, Hartman, M, Miao, H, Lim, WY, Tang, A, Hamann, U, Torres, D, Jakubowska, A, Lubinski, J, Jaworska, K, Durda, K, Sangrajrang, S, Gaborieau, V, Brennan, P, Mckay, J, Olswold, C, Slager, S, Toland, AE, Yannoukakos, D, Shen, CY, Wu, PE, Yu, JC, Hou, MF, Swerdlow, A, Ashworth, A, Orr, N, Jones, M, Pita, G, Alonso, MR, Alvarez, N, Herrero, D, Tessier, DC, Vincent, D, Bacot, F, Luccarini, C, Baynes, C, Ahmed, S (Shahana), Healey, CS, Brown, MA, Ponder, BAJ, Chenevix-Trench, G, Thompson, DJ, Edwards, SL, Easton, DF, Dunning, AM, and French, JD
Abstract: Genome-wide association studies (GWASs) have revealed SNP rs889312 on 5q11.2 to be associated with breast cancer risk in women of European ancestry. In an attempt to identify the biologically relevant variants, we analyzed 909 genetic variants across 5q11.2 in 103,991 breast cancer individuals and control individuals from 52 studies in the Breast Cancer Association Consortium. Multiple logistic regression analyses identified three independent risk signals: the strongest associations were with 15 correlated variants (iCHAV1), where the minor allele of the best candidate, rs62355902, associated with significantly increased risks of both estrogen-receptor-positive (ER-: odds ratio [OR] = 1.24, 95% confidence interval [CI] = 1.21-1.27, p(trend) = 5.7 3 10(-44)) and estrogen-receptor-negative (ER-: OR = 1.10, 95% CI = 1.05-1.15, p(trend) = 3.0 x 10(-4)) tumors. After adjustment for rs62355902, we found evidence of association of a further 173 variants (iCHAV2) containing three subsets with a range of effects (the strongest was rs113317823 [p(cond) = 1.61 x 10(-5)]) and five variants composing iCHAV3 (lead rs11949391; ER-: OR = 0.90, 95% CI = 0.87-0.93, p(cond) = 1.4 x 10(-4)). Twenty-six percent of the prioritized candidate variants coincided with four putative regulatory elements that interact with the MAP3K1 promoter through chromatin looping and affect MAP3K1 promoter activity. Functional analysis indicated that the cancer risk alleles of four candidates (rs74345699 and rs62355900 [iCHAV1], rs16886397 [iCHAV2a], and rs17432750 [iCHAV3]) increased MAP3K1 transcriptional activity. Chromatin immunoprecipitation analysis revealed diminished GATA3 binding to the minor (cancer-protective) allele of rs17432750, indicating a mechanism for its action. We propose that the cancer risk alleles act to increase MAP3K1 expression in vivo and might promote breast cancer cell survival.
Published: 2015

7. A common variant at the TERT-CLPTM1L locus is associated with estrogen receptor-negative breast cancer

Author: Haiman, CA, Chen, GK, Vachon, CM, Canzian, F, Dunning, A, Millikan, RC, Wang, X, Ademuyiwa, F, Ahmed, S, Ambrosone, CB, Baglietto, L, Balleine, R, Bandera, EV, Beckmann, MW, Berg, CD, Bernstein, L, Blomqvist, C, Blot, WJ, Brauch, H, Buring, JE, Carey, LA, Carpenter, JE, Chang-Claude, J, Chanock, SJ, Chasman, DI, Clarke, CL, Cox, A, Cross, SS, Deming, SL, Diasio, RB, Dimopoulos, AM, Driver, WR, Duennebier, T, Durcan, L, Eccles, D, Edlund, CK, Ekici, AB, Fasching, PA, Feigelson, HS, Flesch-Janys, D, Fostira, F, Foersti, A, Fountzilas, G, Gerty, SM, Giles, GG, Godwin, AK, Goodfellow, P, Graham, N, Greco, D, Hamann, U, Hankinson, SE, Hartmann, A, Hein, R, Heinz, J, Holbrook, A, Hoover, RN, Hu, JJ, Hunter, DJ, Ingles, SA, Irwanto, A, Ivanovich, J, John, EM, Johnson, N, Jukkola-Vuorinen, A, Kaaks, R, Ko, Y-D, Kolonel, LN, Konstantopoulou, I, Kosma, V-M, Kulkarni, S, Lambrechts, D, Lee, AM, Le Marchand, L, Lesnick, T, Liu, J, Lindstrom, S, Mannermaa, A, Margolin, S, Martin, NG, Miron, P, Montgomery, GW, Nevanlinna, H, Nickels, S, Nyante, S, Olswold, C, Palmer, J, Pathak, H, Pectasides, D, Perou, CM, Peto, J, Pharoah, PDP, Pooler, LC, Press, MF, Pylkas, K, Rebbeck, TR, Rodriguez-Gil, JL, Rosenberg, L, Ross, E, Ruediger, T, Silva, IDS, Sawyer, E, Schmidt, MK, Schulz-Wendtland, R, Schumacher, F, Severi, G, Sheng, X, Signorello, LB, Sinn, H-P, Stevens, KN, Southey, MC, Tapper, WJ, Tomlinson, I, Hogervorst, FBL, Wauters, E, Weaver, J, Wildiers, H, Winqvist, R, Van Den Berg, D, Wan, P, Xia, LY, Yannoukakos, D, Zheng, W, Ziegler, RG, Siddiq, A, Slager, SL, Stram, DO, Easton, D, Kraft, P, Henderson, BE, Couch, FJ, and Gene, EIBC
Abstract: Estrogen receptor (ER)-negative breast cancer shows a higher incidence in women of African ancestry compared to women of European ancestry. In search of common risk alleles for ER-negative breast cancer, we combined genome-wide association study (GWAS) data from women of African ancestry (1,004 ER-negative cases and 2,745 controls) and European ancestry (1,718 ER-negative cases and 3,670 controls), with replication testing conducted in an additional 2,292 ER-negative cases and 16,901 controls of European ancestry. We identified a common risk variant for ER-negative breast cancer at the TERT-CLPTM1L locus on chromosome 5p15 (rs10069690: per-allele odds ratio (OR) = 1.18 per allele, P = 1.0 × 10−10). The variant was also significantly associated with triple-negative (ER-negative, progesterone receptor (PR)-negative and human epidermal growth factor-2 (HER2)-negative) breast cancer (OR = 1.25, P = 1.1 × 10−9), particularly in younger women (
Published: 2011

8. The landscape of recombination in African Americans

Author: Hinch, AG, Tandon, A, Patterson, N, Song, Y, Rohland, N, Palmer, CD, Chen, GK, Wang, K, Buxbaum, SG, Akylbekova, EL, Aldrich, MC, Ambrosone, CB, Amos, C, Bandera, EV, Berndt, SI, Bernstein, L, Blot, WJ, Bock, CH, Boerwinkle, E, Cai, Q, Caporaso, N, Casey, G, Adrienne Cupples, L, Deming, SL, Ryan Diver, W, Divers, J, Fornage, M, Gillanders, EM, Glessner, J, Harris, CC, Hu, JJ, Ingles, SA, Isaacs, W, John, EM, Linda Kao, WH, Keating, B, Kittles, RA, Kolonel, LN, Larkin, E, Le Marchand, L, McNeill, LH, Millikan, RC, Musani, S, Neslund-Dudas, C, Nyante, S, Papanicolaou, GJ, Press, MF, Psaty, BM, Reiner, AP, Rich, SS, Rodriguez-Gil, JL, Rotter, JI, Rybicki, BA, Schwartz, AG, Signorello, LB, Spitz, M, Strom, SS, Thun, MJ, Tucker, MA, Wang, Z, Wiencke, JK, Witte, JS, Wrensch, M, Wu, X, Yamamura, Y, Zanetti, KA, Zheng, W, Ziegler, RG, Zhu, X, Redline, S, Hirschhorn, JN, Henderson, BE, Taylor Jr, HA, Price, AL, Hakonarson, H, Chanock, SJ, Haiman, CA, Wilson, JG, Reich, D, and Myers, SR
Published: 2011

9. A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer

Author: Al Olama, AA, Kote-Jarai, Z, Berndt, SI, Conti, DV, Schumacher, F, Han, Y, Benlloch, S, Hazelett, DJ, Wang, Z, Saunders, E, Leongamornlert, D, Lindstrom, S, Jugurnauth-Little, S, Dadaev, T, Tymrakiewicz, M, Stram, DO, Rand, K, Wan, P, Stram, A, Sheng, X, Pooler, LC, Park, K, Xia, L, Tyrer, J, Kolonel, LN, Le Marchand, L, Hoover, RN, Machiela, MJ, Yeager, M, Burdette, L, Chung, CC, Hutchinson, A, Yu, K, Goh, C, Ahmed, M, Govindasami, K, Guy, M, Tammela, TLJ, Auvinen, A, Wahlfors, T, Schleutker, J, Visakorpi, T, Leinonen, KA, Xu, J, Aly, M, Donovan, J, Travis, RC, Key, TJ, Siddiq, A, Canzian, F, Khaw, K-T, Takahashi, A, Kubo, M, Pharoah, P, Pashayan, N, Weischer, M, Nordestgaard, BG, Nielsen, SF, Klarskov, P, Roder, MA, Iversen, P, Thibodeau, SN, McDonnell, SK, Schaid, DJ, Stanford, JL, Kolb, S, Holt, S, Knudsen, B, Coll, AH, Gapstur, SM, Diver, WR, Stevens, VL, Maier, C, Luedeke, M, Herkommer, K, Rinckleb, AE, Strom, SS, Pettaway, C, Yeboah, ED, Tettey, Y, Biritwum, RB, Adjei, AA, Tay, E, Truelove, A, Niwa, S, Choklcalingam, AP, Cannon-Albright, L, Cybulski, C, Wokolorczyk, D, Kluzniak, W, Park, J, Sellers, T, Lin, H-Y, Isaacs, WB, Partin, AW, Brenner, H, Dieffenbach, AK, Stegmaier, C, Chen, C, Giovannucci, EL, Ma, J, Stampfer, M, Penney, KL, Mucci, L, John, EM, Ingles, SA, Kittles, RA, Murphy, AB, Pandha, H, Michael, A, Kierzek, AM, Blot, W, Signorello, LB, Zheng, W, Albanes, D, Virtamo, J, Weinstein, S, Nemesure, B, Carpten, J, Leske, C, Wu, S-Y, Hennis, A, Kibel, AS, Rybicki, BA, Neslund-Dudas, C, Hsing, AW, Chu, L, Goodman, PJ, Klein, EA, Zheng, SL, Batra, J, Clements, J, Spurdle, A, Teixeira, MR, Paulo, P, Maia, S, Slavov, C, Kaneva, R, Mitev, V, Witte, JS, Casey, G, Gillanders, EM, Seminara, D, Riboli, E, Hamdy, FC, Coetzee, GA, Li, Q, Freedman, ML, Hunter, DJ, Muir, K, Gronberg, H, Nea, DE, Southey, M, Giles, GG, Severi, G, Cook, MB, Nakagawa, H, Wiklund, F, Kraft, P, Chanock, SJ, Henderson, BE, Easton, DF, Eeles, RA, Haiman, CA, Al Olama, AA, Kote-Jarai, Z, Berndt, SI, Conti, DV, Schumacher, F, Han, Y, Benlloch, S, Hazelett, DJ, Wang, Z, Saunders, E, Leongamornlert, D, Lindstrom, S, Jugurnauth-Little, S, Dadaev, T, Tymrakiewicz, M, Stram, DO, Rand, K, Wan, P, Stram, A, Sheng, X, Pooler, LC, Park, K, Xia, L, Tyrer, J, Kolonel, LN, Le Marchand, L, Hoover, RN, Machiela, MJ, Yeager, M, Burdette, L, Chung, CC, Hutchinson, A, Yu, K, Goh, C, Ahmed, M, Govindasami, K, Guy, M, Tammela, TLJ, Auvinen, A, Wahlfors, T, Schleutker, J, Visakorpi, T, Leinonen, KA, Xu, J, Aly, M, Donovan, J, Travis, RC, Key, TJ, Siddiq, A, Canzian, F, Khaw, K-T, Takahashi, A, Kubo, M, Pharoah, P, Pashayan, N, Weischer, M, Nordestgaard, BG, Nielsen, SF, Klarskov, P, Roder, MA, Iversen, P, Thibodeau, SN, McDonnell, SK, Schaid, DJ, Stanford, JL, Kolb, S, Holt, S, Knudsen, B, Coll, AH, Gapstur, SM, Diver, WR, Stevens, VL, Maier, C, Luedeke, M, Herkommer, K, Rinckleb, AE, Strom, SS, Pettaway, C, Yeboah, ED, Tettey, Y, Biritwum, RB, Adjei, AA, Tay, E, Truelove, A, Niwa, S, Choklcalingam, AP, Cannon-Albright, L, Cybulski, C, Wokolorczyk, D, Kluzniak, W, Park, J, Sellers, T, Lin, H-Y, Isaacs, WB, Partin, AW, Brenner, H, Dieffenbach, AK, Stegmaier, C, Chen, C, Giovannucci, EL, Ma, J, Stampfer, M, Penney, KL, Mucci, L, John, EM, Ingles, SA, Kittles, RA, Murphy, AB, Pandha, H, Michael, A, Kierzek, AM, Blot, W, Signorello, LB, Zheng, W, Albanes, D, Virtamo, J, Weinstein, S, Nemesure, B, Carpten, J, Leske, C, Wu, S-Y, Hennis, A, Kibel, AS, Rybicki, BA, Neslund-Dudas, C, Hsing, AW, Chu, L, Goodman, PJ, Klein, EA, Zheng, SL, Batra, J, Clements, J, Spurdle, A, Teixeira, MR, Paulo, P, Maia, S, Slavov, C, Kaneva, R, Mitev, V, Witte, JS, Casey, G, Gillanders, EM, Seminara, D, Riboli, E, Hamdy, FC, Coetzee, GA, Li, Q, Freedman, ML, Hunter, DJ, Muir, K, Gronberg, H, Nea, DE, Southey, M, Giles, GG, Severi, G, Cook, MB, Nakagawa, H, Wiklund, F, Kraft, P, Chanock, SJ, Henderson, BE, Easton, DF, Eeles, RA, and Haiman, CA
Abstract: Genome-wide association studies (GWAS) have identified 76 variants associated with prostate cancer risk predominantly in populations of European ancestry. To identify additional susceptibility loci for this common cancer, we conducted a meta-analysis of > 10 million SNPs in 43,303 prostate cancer cases and 43,737 controls from studies in populations of European, African, Japanese and Latino ancestry. Twenty-three new susceptibility loci were identified at association P < 5 × 10(-8); 15 variants were identified among men of European ancestry, 7 were identified in multi-ancestry analyses and 1 was associated with early-onset prostate cancer. These 23 variants, in combination with known prostate cancer risk variants, explain 33% of the familial risk for this disease in European-ancestry populations. These findings provide new regions for investigation into the pathogenesis of prostate cancer and demonstrate the usefulness of combining ancestrally diverse populations to discover risk loci for disease.
Published: 2014

10. Trans-ethnic genome-wide association study of colorectal cancer identifies a new susceptibility locus in VTI1A

Author: Wang, H, Burnett, T, Kono, S, Haiman, CA, Iwasaki, M, Wilkens, LR, Loo, LWM, Van den Berg, D, Kolonel, LN, Henderson, BE, Keku, TO, Sandler, RS, Signorello, LB, Blot, WJ, Newcomb, PA, Pande, M, Amos, CI, West, DW, Bezieau, S, Berndt, SI, Zanke, BW, Hsu, L, Lindor, NM, Haile, RW, Hopper, JL, Jenkins, MA, Gallinger, S, Casey, G, Stenzel, SL, Schumacher, FR, Peters, U, Gruber, SB, Tsugane, S, Stram, DO, Le Marchand, L, Wang, H, Burnett, T, Kono, S, Haiman, CA, Iwasaki, M, Wilkens, LR, Loo, LWM, Van den Berg, D, Kolonel, LN, Henderson, BE, Keku, TO, Sandler, RS, Signorello, LB, Blot, WJ, Newcomb, PA, Pande, M, Amos, CI, West, DW, Bezieau, S, Berndt, SI, Zanke, BW, Hsu, L, Lindor, NM, Haile, RW, Hopper, JL, Jenkins, MA, Gallinger, S, Casey, G, Stenzel, SL, Schumacher, FR, Peters, U, Gruber, SB, Tsugane, S, Stram, DO, and Le Marchand, L
Abstract: The genetic basis of sporadic colorectal cancer (CRC) is not well explained by known risk polymorphisms. Here we perform a meta-analysis of two genome-wide association studies in 2,627 cases and 3,797 controls of Japanese ancestry and 1,894 cases and 4,703 controls of African ancestry, to identify genetic variants that contribute to CRC susceptibility. We replicate genome-wide statistically significant associations (P<5 × 10(-8)) in 16,823 cases and 18,211 controls of European ancestry. This study reveals a new pan-ethnic CRC risk locus at 10q25 (rs12241008, intronic to VTI1A; P=1.4 × 10(-9)), providing additional insight into the aetiology of CRC and highlighting the value of association mapping in diverse populations.
Published: 2014

11. Genetic variation at CYP3A is associated with age at menarche and breast cancer risk: a case-control study

Author: Johnson, N, Dudbridge, F, Orr, N, Gibson, L, Jones, ME, Schoemaker, MJ, Folkerd, EJ, Haynes, BP, Hopper, JL, Southey, MC, Dite, GS, Apicella, C, Schmidt, MK, Broeks, A, Van't Veer, LJ, Atsma, F, Muir, K, Lophatananon, A, Fasching, PA, Beckmann, MW, Ekici, AB, Renner, SP, Sawyer, E, Tomlinson, I, Kerin, M, Miller, N, Burwinkel, B, Marme, F, Schneeweiss, A, Sohn, C, Guenel, P, Truong, T, Cordina, E, Menegaux, F, Bojesen, SE, Nordestgaard, BG, Flyger, H, Milne, R, Zamora, MP, Arias Perez, JI, Benitez, J, Bernstein, L, Anton-Culver, H, Ziogas, A, Dur, CC, Brenner, H, Mueller, H, Arndt, V, Dieffenbach, AK, Meindl, A, Heil, J, Bartram, CR, Schmutzler, RK, Brauch, H, Justenhoven, C, Ko, Y-D, Nevanlinna, H, Muranen, TA, Aittomaeki, K, Blomqvist, C, Matsuo, K, Doerk, T, Bogdanova, NV, Antonenkova, NN, Lindblom, A, Mannermaa, A, Kataja, V, Kosma, V-M, Hartikainen, JM, Chenevix-Trench, G, Beesley, J, Wu, AH, Van den Berg, D, Tseng, C-C, Lambrechts, D, Smeets, D, Neven, P, Wildiers, H, Chang-Claude, J, Rudolph, A, Nickels, S, Flesch-Janys, D, Radice, P, Peterlongo, P, Bonanni, B, Pensotti, V, Couch, FJ, Olson, JE, Wang, X, Fredericksen, Z, Pankratz, VS, Giles, GG, Severi, G, Baglietto, L, Haiman, C, Simard, J, Goldberg, MS, Labreche, F, Dumont, M, Soucy, P, Teo, S, Yip, CH, Phuah, SY, Cornes, BK, Kristensen, VN, Alnaes, GG, Borresen-Dale, A-L, Zheng, W, Winqvist, R, Pylkaes, K, Jukkola-Vuorinen, A, Grip, M, Andrulis, IL, Knight, JA, Glendon, G, Mulligan, AM, Devillee, P, Figueroa, J, Chanock, SJ, Lissowska, J, Sherman, ME, Hall, P, Schoof, N, Hooning, M, Hollestelle, A, Oldenburg, RA, Tilanus-Linthorst, M, Liu, J, Cox, A, Brock, IW, Reed, MWR, Cross, SS, Blot, W, Signorello, LB, Pharoah, PDP, Dunning, AM, Shah, M, Kang, D, Noh, D-Y, Park, SK, Choi, J-Y, Hartman, M, Miao, H, Lim, WY, Tang, A, Hamann, U, Foersti, A, Ruediger, T, Ulmer, HU, Jakubowska, A, Lubinski, J, Jaworska-Bieniek, K, Durda, K, Sangrajrang, S, Gaborieau, V, Brennan, P, Mckay, J, Slager, S, Toland, AE, Vachon, C, Yannoukakos, D, Shen, C-Y, Yu, J-C, Huang, C-S, Hou, M-F, Gonzalez-Neira, A, Tessier, DC, Vincent, D, Bacot, F, Luccarini, C, Dennis, J, Michailidou, K, Bolla, MK, Wang, J, Easton, DF, Garcia-Closas, M, Dowsett, M, Ashworth, A, Swerdlow, AJ, Peto, J, Silva, IDS, Fletcher, O, Johnson, N, Dudbridge, F, Orr, N, Gibson, L, Jones, ME, Schoemaker, MJ, Folkerd, EJ, Haynes, BP, Hopper, JL, Southey, MC, Dite, GS, Apicella, C, Schmidt, MK, Broeks, A, Van't Veer, LJ, Atsma, F, Muir, K, Lophatananon, A, Fasching, PA, Beckmann, MW, Ekici, AB, Renner, SP, Sawyer, E, Tomlinson, I, Kerin, M, Miller, N, Burwinkel, B, Marme, F, Schneeweiss, A, Sohn, C, Guenel, P, Truong, T, Cordina, E, Menegaux, F, Bojesen, SE, Nordestgaard, BG, Flyger, H, Milne, R, Zamora, MP, Arias Perez, JI, Benitez, J, Bernstein, L, Anton-Culver, H, Ziogas, A, Dur, CC, Brenner, H, Mueller, H, Arndt, V, Dieffenbach, AK, Meindl, A, Heil, J, Bartram, CR, Schmutzler, RK, Brauch, H, Justenhoven, C, Ko, Y-D, Nevanlinna, H, Muranen, TA, Aittomaeki, K, Blomqvist, C, Matsuo, K, Doerk, T, Bogdanova, NV, Antonenkova, NN, Lindblom, A, Mannermaa, A, Kataja, V, Kosma, V-M, Hartikainen, JM, Chenevix-Trench, G, Beesley, J, Wu, AH, Van den Berg, D, Tseng, C-C, Lambrechts, D, Smeets, D, Neven, P, Wildiers, H, Chang-Claude, J, Rudolph, A, Nickels, S, Flesch-Janys, D, Radice, P, Peterlongo, P, Bonanni, B, Pensotti, V, Couch, FJ, Olson, JE, Wang, X, Fredericksen, Z, Pankratz, VS, Giles, GG, Severi, G, Baglietto, L, Haiman, C, Simard, J, Goldberg, MS, Labreche, F, Dumont, M, Soucy, P, Teo, S, Yip, CH, Phuah, SY, Cornes, BK, Kristensen, VN, Alnaes, GG, Borresen-Dale, A-L, Zheng, W, Winqvist, R, Pylkaes, K, Jukkola-Vuorinen, A, Grip, M, Andrulis, IL, Knight, JA, Glendon, G, Mulligan, AM, Devillee, P, Figueroa, J, Chanock, SJ, Lissowska, J, Sherman, ME, Hall, P, Schoof, N, Hooning, M, Hollestelle, A, Oldenburg, RA, Tilanus-Linthorst, M, Liu, J, Cox, A, Brock, IW, Reed, MWR, Cross, SS, Blot, W, Signorello, LB, Pharoah, PDP, Dunning, AM, Shah, M, Kang, D, Noh, D-Y, Park, SK, Choi, J-Y, Hartman, M, Miao, H, Lim, WY, Tang, A, Hamann, U, Foersti, A, Ruediger, T, Ulmer, HU, Jakubowska, A, Lubinski, J, Jaworska-Bieniek, K, Durda, K, Sangrajrang, S, Gaborieau, V, Brennan, P, Mckay, J, Slager, S, Toland, AE, Vachon, C, Yannoukakos, D, Shen, C-Y, Yu, J-C, Huang, C-S, Hou, M-F, Gonzalez-Neira, A, Tessier, DC, Vincent, D, Bacot, F, Luccarini, C, Dennis, J, Michailidou, K, Bolla, MK, Wang, J, Easton, DF, Garcia-Closas, M, Dowsett, M, Ashworth, A, Swerdlow, AJ, Peto, J, Silva, IDS, and Fletcher, O
Abstract: INTRODUCTION: We have previously shown that a tag single nucleotide polymorphism (rs10235235), which maps to the CYP3A locus (7q22.1), was associated with a reduction in premenopausal urinary estrone glucuronide levels and a modest reduction in risk of breast cancer in women age ≤50 years. METHODS: We further investigated the association of rs10235235 with breast cancer risk in a large case control study of 47,346 cases and 47,570 controls from 52 studies participating in the Breast Cancer Association Consortium. Genotyping of rs10235235 was conducted using a custom Illumina Infinium array. Stratified analyses were conducted to determine whether this association was modified by age at diagnosis, ethnicity, age at menarche or tumor characteristics. RESULTS: We confirmed the association of rs10235235 with breast cancer risk for women of European ancestry but found no evidence that this association differed with age at diagnosis. Heterozygote and homozygote odds ratios (ORs) were OR = 0.98 (95% CI 0.94, 1.01; P = 0.2) and OR = 0.80 (95% CI 0.69, 0.93; P = 0.004), respectively (P(trend) = 0.02). There was no evidence of effect modification by tumor characteristics. rs10235235 was, however, associated with age at menarche in controls (P(trend) = 0.005) but not cases (P(trend) = 0.97). Consequently the association between rs10235235 and breast cancer risk differed according to age at menarche (P(het) = 0.02); the rare allele of rs10235235 was associated with a reduction in breast cancer risk for women who had their menarche age ≥15 years (OR(het) = 0.84, 95% CI 0.75, 0.94; OR(hom) = 0.81, 95% CI 0.51, 1.30; P(trend) = 0.002) but not for those who had their menarche age ≤11 years (OR(het) = 1.06, 95% CI 0.95, 1.19, OR(hom) = 1.07, 95% CI 0.67, 1.72; P(trend) = 0.29). CONCLUSIONS: To our knowledge rs10235235 is the first single nucleotide polymorphism to be associated with both breast cancer risk and age at menarche consistent with the well-documented association between la
Published: 2014

12. Fine-Mapping the HOXB Region Detects Common Variants Tagging a Rare Coding Allele: Evidence for Synthetic Association in Prostate Cancer

Author: Gibson, G, Saunders, EJ, Dadaev, T, Leongamornlert, DA, Jugurnauth-Little, S, Tymrakiewicz, M, Wiklund, F, Al Olama, AA, Benlloch, S, Neal, DE, Hamdy, FC, Donovan, JL, Giles, GG, Severi, G, Gronberg, H, Aly, M, Haiman, CA, Schumacher, F, Henderson, BE, Lindstrom, S, Kraft, P, Hunter, DJ, Gapstur, S, Chanock, S, Berndt, SI, Albanes, D, Andriole, G, Schleutker, J, Weischer, M, Nordestgaard, BG, Canzian, F, Campa, D, Riboli, E, Key, TJ, Travis, RC, Ingles, SA, John, EM, Hayes, RB, Pharoah, P, Khaw, K-T, Stanford, JL, Ostrander, EA, Signorello, LB, Thibodeau, SN, Schaid, D, Maier, C, Kibel, AS, Cybulski, C, Cannon-Albright, L, Brenner, H, Park, JY, Kaneva, R, Batra, J, Clements, JA, Teixeira, MR, Xu, J, Mikropoulos, C, Goh, C, Govindasami, K, Guy, M, Wilkinson, RA, Sawyer, EJ, Morgan, A, Easton, DF, Muir, K, Eeles, RA, Kote-Jarai, Z, Gibson, G, Saunders, EJ, Dadaev, T, Leongamornlert, DA, Jugurnauth-Little, S, Tymrakiewicz, M, Wiklund, F, Al Olama, AA, Benlloch, S, Neal, DE, Hamdy, FC, Donovan, JL, Giles, GG, Severi, G, Gronberg, H, Aly, M, Haiman, CA, Schumacher, F, Henderson, BE, Lindstrom, S, Kraft, P, Hunter, DJ, Gapstur, S, Chanock, S, Berndt, SI, Albanes, D, Andriole, G, Schleutker, J, Weischer, M, Nordestgaard, BG, Canzian, F, Campa, D, Riboli, E, Key, TJ, Travis, RC, Ingles, SA, John, EM, Hayes, RB, Pharoah, P, Khaw, K-T, Stanford, JL, Ostrander, EA, Signorello, LB, Thibodeau, SN, Schaid, D, Maier, C, Kibel, AS, Cybulski, C, Cannon-Albright, L, Brenner, H, Park, JY, Kaneva, R, Batra, J, Clements, JA, Teixeira, MR, Xu, J, Mikropoulos, C, Goh, C, Govindasami, K, Guy, M, Wilkinson, RA, Sawyer, EJ, Morgan, A, Easton, DF, Muir, K, Eeles, RA, and Kote-Jarai, Z
Abstract: The HOXB13 gene has been implicated in prostate cancer (PrCa) susceptibility. We performed a high resolution fine-mapping analysis to comprehensively evaluate the association between common genetic variation across the HOXB genetic locus at 17q21 and PrCa risk. This involved genotyping 700 SNPs using a custom Illumina iSelect array (iCOGS) followed by imputation of 3195 SNPs in 20,440 PrCa cases and 21,469 controls in The PRACTICAL consortium. We identified a cluster of highly correlated common variants situated within or closely upstream of HOXB13 that were significantly associated with PrCa risk, described by rs117576373 (OR 1.30, P = 2.62×10(-14)). Additional genotyping, conditional regression and haplotype analyses indicated that the newly identified common variants tag a rare, partially correlated coding variant in the HOXB13 gene (G84E, rs138213197), which has been identified recently as a moderate penetrance PrCa susceptibility allele. The potential for GWAS associations detected through common SNPs to be driven by rare causal variants with higher relative risks has long been proposed; however, to our knowledge this is the first experimental evidence for this phenomenon of synthetic association contributing to cancer susceptibility.
Published: 2014

13. Fine-mapping identifies multiple prostate cancer risk loci at 5p15, one of which associates with TERT expression

Author: Kote-Jarai, Z, Saunders, EJ, Leongamornlert, DA, Tymrakiewicz, M, Dadaev, T, Jugurnauth-Little, S, Ross-Adams, H, Al Olama, AA, Benlloch, S, Halim, S, Russel, R, Dunning, AM, Luccarini, C, Dennis, J, Neal, DE, Hamdy, FC, Donovan, JL, Muir, K, Giles, GG, Severi, G, Wiklund, F, Gronberg, H, Haiman, CA, Schumacher, F, Henderson, BE, Le Marchand, L, Lindstrom, S, Kraft, P, Hunter, DJ, Gapstur, S, Chanock, S, Berndt, SI, Albanes, D, Andriole, G, Schleutker, J, Weischer, M, Canzian, F, Riboli, E, Key, TJ, Travis, RC, Campa, D, Ingles, SA, John, EM, Hayes, RB, Pharoah, P, Khaw, K-T, Stanford, JL, Ostrander, EA, Signorello, LB, Thibodeau, SN, Schaid, D, Maier, C, Vogel, W, Kibel, AS, Cybulski, C, Lubinski, J, Cannon-Albright, L, Brenner, H, Park, JY, Kaneva, R, Batra, J, Spurdle, A, Clements, JA, Teixeira, MR, Govindasami, K, Guy, M, Wilkinson, RA, Sawyer, EJ, Morgan, A, Dicks, E, Baynes, C, Conroy, D, Bojesen, SE, Kaaks, R, Vincent, D, Bacot, F, Tessier, DC, Easton, DF, Eeles, RA, Kote-Jarai, Z, Saunders, EJ, Leongamornlert, DA, Tymrakiewicz, M, Dadaev, T, Jugurnauth-Little, S, Ross-Adams, H, Al Olama, AA, Benlloch, S, Halim, S, Russel, R, Dunning, AM, Luccarini, C, Dennis, J, Neal, DE, Hamdy, FC, Donovan, JL, Muir, K, Giles, GG, Severi, G, Wiklund, F, Gronberg, H, Haiman, CA, Schumacher, F, Henderson, BE, Le Marchand, L, Lindstrom, S, Kraft, P, Hunter, DJ, Gapstur, S, Chanock, S, Berndt, SI, Albanes, D, Andriole, G, Schleutker, J, Weischer, M, Canzian, F, Riboli, E, Key, TJ, Travis, RC, Campa, D, Ingles, SA, John, EM, Hayes, RB, Pharoah, P, Khaw, K-T, Stanford, JL, Ostrander, EA, Signorello, LB, Thibodeau, SN, Schaid, D, Maier, C, Vogel, W, Kibel, AS, Cybulski, C, Lubinski, J, Cannon-Albright, L, Brenner, H, Park, JY, Kaneva, R, Batra, J, Spurdle, A, Clements, JA, Teixeira, MR, Govindasami, K, Guy, M, Wilkinson, RA, Sawyer, EJ, Morgan, A, Dicks, E, Baynes, C, Conroy, D, Bojesen, SE, Kaaks, R, Vincent, D, Bacot, F, Tessier, DC, Easton, DF, and Eeles, RA
Abstract: Associations between single nucleotide polymorphisms (SNPs) at 5p15 and multiple cancer types have been reported. We have previously shown evidence for a strong association between prostate cancer (PrCa) risk and rs2242652 at 5p15, intronic in the telomerase reverse transcriptase (TERT) gene that encodes TERT. To comprehensively evaluate the association between genetic variation across this region and PrCa, we performed a fine-mapping analysis by genotyping 134 SNPs using a custom Illumina iSelect array or Sequenom MassArray iPlex, followed by imputation of 1094 SNPs in 22 301 PrCa cases and 22 320 controls in The PRACTICAL consortium. Multiple stepwise logistic regression analysis identified four signals in the promoter or intronic regions of TERT that independently associated with PrCa risk. Gene expression analysis of normal prostate tissue showed evidence that SNPs within one of these regions also associated with TERT expression, providing a potential mechanism for predisposition to disease.
Published: 2013

14. 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, M-J, 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, J-M, Liao, L, Ding, T, Qiao, Y-L, Gao, Y-T, Koh, W-P, Xiang, Y-B, Tang, Z-Z, Fan, J-H, 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, Freeman, LEB, 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, X-O, 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, M-C, Bracci, PM, Canzian, F, Chang, K, Cotterchio, M, Giovannucci, EL, Goggins, M, Bolton, JAH, Jenab, M, Khaw, K-T, Krogh, V, Kurtz, RC, McWilliams, RR, Mendelsohn, JB, Rabe, KG, Riboli, E, Tjonneland, 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, Patino Garcia, A, Sierrasesumaga, L, Barkauskas, DA, Gorlick, RG, Purdue, M, Chow, W-H, 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, Caporaso, NE, Tucker, M, Rothman, N, Perez-Jurado, LA, Chanock, SJ, Jacobs, KB, Yeager, M, Zhou, W, Wacholder, S, Wang, Z, Rodriguez-Santiago, B, Hutchinson, A, Deng, X, Liu, C, Horner, M-J, 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, J-M, Liao, L, Ding, T, Qiao, Y-L, Gao, Y-T, Koh, W-P, Xiang, Y-B, Tang, Z-Z, Fan, J-H, 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, Freeman, LEB, 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, X-O, 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, M-C, Bracci, PM, Canzian, F, Chang, K, Cotterchio, M, Giovannucci, EL, Goggins, M, Bolton, JAH, Jenab, M, Khaw, K-T, Krogh, V, Kurtz, RC, McWilliams, RR, Mendelsohn, JB, Rabe, KG, Riboli, E, Tjonneland, 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, Patino Garcia, A, Sierrasesumaga, L, Barkauskas, DA, Gorlick, RG, Purdue, M, Chow, W-H, 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, Caporaso, NE, Tucker, M, Rothman, N, Perez-Jurado, LA, and Chanock, SJ
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

15. Lifestyle factors and insulin-like growth factor 1 levels among elderly men

Author: Signorello, LB Kuper, H Lagiou, P Wuu, J Mucci, LA and Trichopoulos, D Adami, HO
Abstract: Insulin-like growth factor 1 (IGF-1) is a potentially important determinant of disease; hence epidemiological identification of factors that influence circulating IGF-1 is merited. We therefore analysed data collected in Greece to determine the relationship between anthropometric, lifestyle and dietary variables and serum levels of ICF-1 among elderly men. We identified 51 men with prostate cancer, 50 men with benign prostatic hyperplasia, and 52 apparently healthy elderly men (controls), all matched for age (+/-1 year). These 153 men provided blood specimens and were interviewed using a validated lifestyle and food frequency questionnaire. We performed multivariate linear regression to identify potential predictors of circulating IGF-1. After controlling for age, body mass index, smoking habits, alcohol drinking and coffee consumption, each 5 cm increase in height predicted a 13.0% increase in IGF-1 (95% CT 0.4-27.2%) among the controls and a 11.3% increase in IGF-1 (95% CI 4.5-18.6%) among the entire study group. None of the investigated dietary factors (total fat, carbohydrate, protein, dairy products, tomatoes, calcium) were strongly related to IGF-1 levels. The positive association between IGF-1 and height integrates the empirical evidence linking IGF-1 and height with prostate cancer risk. (C) 2000 Lippincott Williams & Wilkins.
Published: 2000

16. Identification, replication, and fine-mapping of loci associated with adult height in individuals of African ancestry

Author: N'Diaye, A, Chen, GK, Palmer, CD, Ge, B, Tayo, B, Mathias, RA, Ding, J, Nalls, MA, Adeyemo, A, Adoue, V, Ambrosone, CB, Atwood, L, Bandera, EV, Becker, LC, Berndt, SI, Bernstein, L, Blot, WJ, Boerwinkle, E, Britton, A, Casey, G, Chanock, SJ, Demerath, E, Deming, SL, Diver, WR, Fox, C, Harris, TB, Hernandez, DG, Hu, JJ, Ingles, SA, John, EM, Johnson, C, Keating, B, Kittles, RA, Kolonel, LN, Kritchevsky, SB, Marchand, L, Lohman, K, Liu, J, Millikan, RC, Murphy, A, Musani, S, Neslund-Dudas, C, North, KE, Nyante, S, Ogunniyi, A, Ostrander, EA, Papanicolaou, G, Patel, S, Pettaway, CA, Press, MF, Redline, S, Rodriguez-Gil, JL, Rotimi, C, Rybicki, BA, Salako, B, Schreiner, PJ, Signorello, LB, Singleton, AB, Stanford, JL, Stram, AH, Stram, DO, Strom, SS, Suktitipat, B, Thun, MJ, Witte, JS, Yanek, LR, Ziegler, RG, Zheng, W, Zhu, X, Zmuda, JM, Zonderman, AB, Evans, MK, Liu, Y, Becker, DM, Cooper, RS, Pastinen, T, Henderson, BE, Hirschhorn, JN, Lettre, G, Haiman, CA, N'Diaye, A, Chen, GK, Palmer, CD, Ge, B, Tayo, B, Mathias, RA, Ding, J, Nalls, MA, Adeyemo, A, Adoue, V, Ambrosone, CB, Atwood, L, Bandera, EV, Becker, LC, Berndt, SI, Bernstein, L, Blot, WJ, Boerwinkle, E, Britton, A, Casey, G, Chanock, SJ, Demerath, E, Deming, SL, Diver, WR, Fox, C, Harris, TB, Hernandez, DG, Hu, JJ, Ingles, SA, John, EM, Johnson, C, Keating, B, Kittles, RA, Kolonel, LN, Kritchevsky, SB, Marchand, L, Lohman, K, Liu, J, Millikan, RC, Murphy, A, Musani, S, Neslund-Dudas, C, North, KE, Nyante, S, Ogunniyi, A, Ostrander, EA, Papanicolaou, G, Patel, S, Pettaway, CA, Press, MF, Redline, S, Rodriguez-Gil, JL, Rotimi, C, Rybicki, BA, Salako, B, Schreiner, PJ, Signorello, LB, Singleton, AB, Stanford, JL, Stram, AH, Stram, DO, Strom, SS, Suktitipat, B, Thun, MJ, Witte, JS, Yanek, LR, Ziegler, RG, Zheng, W, Zhu, X, Zmuda, JM, Zonderman, AB, Evans, MK, Liu, Y, Becker, DM, Cooper, RS, Pastinen, T, Henderson, BE, Hirschhorn, JN, Lettre, G, and Haiman, CA
Abstract: Adult height is a classic polygenic trait of high heritability (h 2 ~0.8). More than 180 single nucleotide polymorphisms (SNPs), identified mostly in populations of European descent, are associated with height. These variants convey modest effects and explain ~10% of the variance in height. Discovery efforts in other populations, while limited, have revealed loci for height not previously implicated in individuals of European ancestry. Here, we performed a meta-analysis of genome-wide association (GWA) results for adult height in 20,427 individuals of African ancestry with replication in up to 16,436 African Americans. We found two novel height loci (Xp22-rs12393627, P = 3.4×10 -12 and 2p14-rs4315565, P = 1.2×10 -8). As a group, height associations discovered in European-ancestry samples replicate in individuals of African ancestry (P = 1.7×10 -4 for overall replication). Fine-mapping of the European height loci in African-ancestry individuals showed an enrichment of SNPs that are associated with expression of nearby genes when compared to the index European height SNPs (P<0.01). Our results highlight the utility of genetic studies in non-European populations to understand the etiology of complex human diseases and traits. © 2011 N'Diaye et al.
Published: 2011

17. Hormonal, lifestyle, and dietary factors in relation to leptin among elderly men

Author: Lagiou, P Signorello, LB Mantzoros, CS Trichopoulos, D and Hsieh, CC Trichopoulou, A
Subjects: hormones, hormone substitutes, and hormone antagonists
Abstract: Background: Leptin, the adipocyte-secreted protein product of the ob gene, has been strongly linked to obesity and is believed to play a role in the regulation of the reproductive system. This study examines the potential influence of lifestyle and dietary factors, as well as of other hormones, on serum levels of leptin. Methods: The authors studied a population of 48 healthy elderly Greek men. Sera from these men were analyzed for leptin, several steroid hormones, sex hormone-binding globulin, and insulin-like growth factor 1. The authors also utilized data from food frequency questionnaires and information on demographic, anthropometric, and lifestyle (cigarette smoking, alcohol and coffee drinking) factors. Results: Using linear regression modeling, serum leptin levels were inversely associated with testosterone and positively associated with estradiol and dehydroepiandrosterone sulfate, after adjustment for the other hormones and body mass index (BMI). Leptin levels in men with a BMI >30 kg/m(2) were 170% higher than in men with a BMI
Published: 1999

18. Hormones and hair patterning in men: A role for insulin-like growth factor 1?

Author: Signorello, LB Wuu, J Hsieh, CC Tzonou, A Trichopoulos, D Mantzoros, CS
Abstract: Background: Androgens are important in hair growth and patterning, whereas growth hormone substitution enhances their effect in growth hormone-deficient men. No previous study has jointly evaluated the function of sex steroids, sex hormone-binding globulin (SHBG), and insulin-like growth factor (IGF-1) in determining hair patterning in men. Objective: Ne assessed the relationship between circulating hormone measurements and both head and chest hair patterning in a sample of elderly men. Methods: Fifty-one apparently healthy men older than 65 years of age were studied cross-sectionally. Head and chest hair patterning was assessed by a trained interviewer. Morning blood samples from all subjects were used for measurements of testosterone, estradiol, dehydroepiandrosterone sulfate, SHBG, and IGF-1. Results: Results were obtained from logistic regression models, adjusting simultaneously for all the measured hormones and age. Men with higher levels of testosterone were more likely to have vertex baldness (odds ratio [OR] = 2.5, 95% confidence interval [CI: 0.9 to 7.8] per 194 ng/dL increment of testosterone). In addition, for each 59 ng/mL increase in IGF-1, the odds of having vertex baldness doubled (95% CI [1.0 to 4.6]). Those who were found to have higher circulating levels of SHBG were less likely to have dense hair on their chest (OR = 0.4, 95% CI [0.1 to 0.9] per 24 nmol/L increment in SHBG]). Conclusion: Testosterone, SHBG, and IGF-1 may be important in determining hair patterning in men.
Published: 1999

19. Leptin in relation to prostate cancer and benign prostatic hyperplasia

Author: Lagiou, P Signorello, LB Trichopoulos, D Tzonou, A and Trichopoulou, A Mantzoros, CS
Abstract: The aim of our study was to determine whether leptin, a hormone implicated in both energy-balance and reproductive function, is involved in the etiology of prostate cancer or benign prostatic hyperplasia (BPH). We compared the serum leptin levels of 43 cases of incident prostate cancer, 41 patients with BPH, and 48 healthy controls, all recruited in Athens, Greece, Multiple logistic regression modeling was used, with adjustment for age, height, body mass index, education, estradiol, testosterone, dihydrotestosterone, dehydroepiandrosterone sulfate, sex hormone-binding globulin and insulin like growth factor I, Odds ratios per 4 ng/ml increment of leptin were 0.70 [95% confidence interval (CI) (0.32, 1.55)] for prostate cancer and 1.06 [95% CI (0.67, 1.67)] for BPH. After adjustment for body mass index, serum leptin levels were not significantly correlated with levels of any of the other hormones under study. Leptin levels are unlikely to affect the risk of either prostate cancer or BPH substantially. (C) 1998 Wiley-Liss, Inc.
Published: 1998

20. Insulin-like growth factor 1 in relation to prostate cancer and benign prostatic hyperplasia

Author: Mantzoros, CS Tzonou, A Signorello, LB Stampfer, M and Trichopoulos, D Adaml, HO
Abstract: Blood samples were collected from 52 incident cases of histologically confirmed prostate cancer, an equal number of cases of benign prostatic hyperplasia (BPH) and an equal number of apparently healthy control subjects. The three groups were matched for age and town of residence in the greater Athens area. Steroid hormones, sex hormone-binding globulin, and insulin-like growth factor 1 (IGF-1) were measured in duplicate by radioimmunoassay in a specialized US centre. Statistical analyses were performed using multiple logistical regression. The results for IGF-1 in relation to prostate cancer and BPH were adjusted for demographic and anthropometric factors, as well as for the other measured hormones. There was no relation between IGF-1 and BPH, but increased values of this hormone were associated with increased risk of prostate cancer; an increment of 60 ng ml(-1) corresponded to an odds ratio of 1.91 with a 95% confidence interval of 1.00-3.73. There was also some evidence for an interaction between high levels of testosterone and IGF-1 in relation to prostate cancer. This finding suggests that, in addition to testosterone, IGF-1 may increase the risk of prostate cancer in humans.
Published: 1997

21. Evidence that adult life risk factors influence the expression of familial propensity to breast cancer

Author: Katsouyanni, K Signorello, LB Lagiou, P Egan, K and Trichopoulos, D
Abstract: In the context of a study in Athens comprising 692 cases and 1,261 controls, we have evaluated the effect on breast cancer risk of the joint action of first-degree relative family history and established adult life risk factors. We created a risk score by assigning the value of 1 to women at high risk with respect to any of these risk factors and 0 otherwise, and summing these values, using weights equal to the excess odds ratio. The odds ratio for a tertile increment in the risk score was 1.5 [95% confidence interval (CI) = 1.3-1.8] among women without family history, and 2.3 (95% CI = 1.1-5.1) for women with family history. Our findings imply that women with a family history of breast cancer may benefit disproportionately by reduced exposure to adult life risk factors.
Published: 1997

22. Serum steroids in relation to prostate cancer risk in a case-control study (Greece)

Author: Signorello, LB Tzonou, A Mantzoros, CS Lipworth, L and Lagiou, P Hsieh, CC Stampfer, M Trichopoulos, D
Subjects: hormones, hormone substitutes, and hormone antagonists
Abstract: Blood samples were collected from 52 incident cases of histologically confirmed prostate cancer and 52 age- and town of residence-matched healthy controls in Athens, Greece. Samples were analyzed blindly in Boston, Massachusetts (USA) for testosterone (T), estradiol (E2), sex hormone-binding globulin (SHBG), and dihydrotestosterone (DHT). The data were modeled using multiple logistic regression with adjustment for age, height, body mass index (wt/ht(2)), years of schooling, and mutually among hormones. DHT was associated inversely, significantly, and strongly with the risk of prostate cancer, whereas T was associated marginally positively, and E2 was associated nonsignificantly inversely with the disease. No association was observed in this study with respect to SHBG.
Published: 1997

23. Life-style factors and medical conditions in relation to esophageal cancer by histologic type in a low-risk population

Author: Garidou, A Tzonou, A Lipworth, L Signorello, LB and Kalapothaki, V Trichopoulos, D
Abstract: A case-control study of esophageal cancer was conducted in Athens, Greece, during the 3-year period 1989-1991. Cases were 43 patients with incident esophageal squamous-cell carcinoma and 56 patients with incident esophageal adenocarcinoma hospitalized in any one of the 9 major hospitals in Athens, whereas controls were 200 injury patients admitted to the only Athens accident hospital. The data were analyzed by modeling through multiple logistic regression. Tobacco smoking and alcohol drinking were associated with both histologic types, but the odds ratios were generally lower than those observed in several other investigations. It may be that the high consumption of vegetables and fruits by the Greek population cushions the deleterious effect of tobacco, while the intake of ethanol in the form of wine during meals reduces the impact of this substance on the esophageal mucosa. A preference for very hot temperature for beverages and food was associated with significant elevation of the odds ratio to about 1.8 for esophageal cancer in general. There was non-significant evidence in our data to support earlier reports that aspirin intake may reduce the risk of cancer of the esophagus. Overall, we found no striking difference in the risk profile of the 2 histologic types of esophageal cancer. (C) 1996 Wiley-Liss, Inc.
Published: 1996

24. Effect of caffeine exposure during pregnancy on birth weight andgestational age.

Author: Clausson, B, Granath, F, Ekbom, A, Lundgren, S, Nordmark, A, Signorello, LB, Cnattingius, S, Clausson, B, Granath, F, Ekbom, A, Lundgren, S, Nordmark, A, Signorello, LB, and Cnattingius, S
Published: 2002

25. Caffein Metabolism and the risk of normal karyotype fetuses

Author: Signorello, LB, Nordmark, A, Granath , F, Blot, WJ, Annerén, Göran, McLaughin , JK, Ekbom, A, Rane, A, Cnattingius , S, Signorello, LB, Nordmark, A, Granath , F, Blot, WJ, Annerén, Göran, McLaughin , JK, Ekbom, A, Rane, A, and Cnattingius , S
Published: 2001

26. Caffein intake and the risk of first-trimester spontanous abortion

Author: Cnattingius, Sven, Signorello, LB, Anneren, Göran, Clausson, B, Ekbom, Anders, Ljunger, Elisabeth, Blot, WJ, McLaughlin, JK, Petersson, G, Rane, Anders, Granath, F, Cnattingius, Sven, Signorello, LB, Anneren, Göran, Clausson, B, Ekbom, Anders, Ljunger, Elisabeth, Blot, WJ, McLaughlin, JK, Petersson, G, Rane, Anders, and Granath, F
Published: 2000

27. Risk for gastric cancer after antibiotic prophylaxis in patients undergoing hip replacement

Author: Akre, K, Signorello, LB, Engstrand, L, Bergstrom, R, Larsson, S, Eriksson, BI, Nyren, O, Akre, K, Signorello, LB, Engstrand, L, Bergstrom, R, Larsson, S, Eriksson, BI, and Nyren, O
Published: 2000

28. Insulin-like growth factor-binding protein-1 and prostate cancer

Author: Signorello, LB, Brismar, K, Bergstrom, R, Andersson, SO, Wolk, A, Trichopoulos, D, Adami, HO, Signorello, LB, Brismar, K, Bergstrom, R, Andersson, SO, Wolk, A, Trichopoulos, D, and Adami, HO
Abstract: Addresses: Signorello LB, Int Epidemiol Inst, 1455 Res Blvd, Suite 5082, Rockville, MD 20850 USA. Int Epidemiol Inst, Rockville, MD 20850 USA. Karolinska Inst, Dept Med Epidemiol, Stockholm, Sweden. Karolinska Hosp, Dept Mol Med, Endocrine & Diabet Unit
Published: 1999

29. Evaluating gastric cancer misclassification: a potential explanation for the rise in cardia cancer incidence

Author: Ekstrom, AM, Signorello, LB, Hansson, LE, Bergstrom, R, Lindgren, A, Nyren, O, Ekstrom, AM, Signorello, LB, Hansson, LE, Bergstrom, R, Lindgren, A, and Nyren, O
Abstract: Background: Reports of dramatic increases in gastric cardia cancer incidence warrant concern. However, the recent introduction of a separate diagnostic code, the lack of a consensus definition of the cardia area, and the accelerating interest in cardia ca, Addresses: Ekstrom AM, Karolinska Inst, Dept Med Epidemiol, POB 281, S-17177 Stockholm, Sweden. Karolinska Inst, Dept Med Epidemiol, S-17177 Stockholm, Sweden. Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA. Mora Hosp, Dept Surg, Mora
Published: 1999

30. Evaluating Racial Disparities in Diabetes Prevalence in a Low-Income Population

Author: Signorello, LB, primary, Schlundt, DG, additional, Cohen, S S, additional, Steinwandel, M D, additional, Buchowski, M S, additional, McLaughlin, J K, additional, Hargreaves, M K, additional, and Blot, W J, additional
Published: 2006
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31. Insulin-like growth factor 1 in relation to prostate cancer and benign prostatic hyperplasia - reply to the letter from Cohen, Peehl and Rosenfeld

Author: Mantzoros, CS, primary, Signorello, LB, additional, and Trichopoulos, D, additional
Published: 1998
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32. Insulin-like growth factor 1 in relation to prostate cancer and benign prostatic hyperplasia

Author: Mantzoros, CS, primary, Tzonou, A, additional, Signorello, LB, additional, Stampfer, M, additional, Trichopoulos, D, additional, and Adami, H-O, additional
Published: 1997
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33. Biochemical validation of food frequency questionnaire-estimated carotenoid, alpha-tocopherol, and folate intakes among African Americans and non-Hispanic whites in the Southern Community Cohort Study.

Author: Signorello LB, Buchowski MS, Cai Q, Munro HM, Hargreaves MK, and Blot WJ
Abstract: Few food frequency questionnaires (FFQs) have been developed specifically for use among African Americans, and reports of FFQ performance among African Americans or low-income groups assessed using biochemical indicators are scarce. The authors conducted a validation study within the Southern Community Cohort Study to evaluate FFQ-estimated intakes of [alpha]-carotene, [beta]-carotene, [beta]-cryptoxanthin, lutein/zeaxanthin, lycopene, folate, and [alpha]-tocopherol in relation to blood levels of these nutrients. Included were 255 nonsmoking participants (125 African Americans, 130 non-Hispanic whites) who provided a blood sample at the time of study enrollment and FFQ administration in 2002-2004. Levels of biochemical indicators of each micronutrient ([alpha]-tocopherol among women only) significantly increased with increasing FFQ-estimated intake (adjusted correlation coefficients: [alpha]-carotene, 0.35; [beta]-carotene, 0.28; [beta]-cryptoxanthin, 0.35; lutein/zeaxanthin, 0.28; lycopene, 0.15; folate, 0.26; [alpha]-tocopherol, 0.26 among women; all P's < 0.05). Subjects in the top decile of FFQ intake had blood levels that were 27% (lycopene) to 178% ([beta]-cryptoxanthin) higher than those of subjects in the lowest decile. Satisfactory FFQ performance was noted even for participants with less than a high school education. Some variation was noted in the FFQ's ability to predict blood levels for subgroups defined by race, sex, and other characteristics, but overall the Southern Community Cohort Study FFQ appears to generate useful dietary exposure rankings in the cohort. [ABSTRACT FROM AUTHOR]
Published: 2010
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34. Mammography use in the Southern Cohort Study (United States)

Author: Cui Y, Peterson NB, Hargreaves M, Wen W, Patel K, Drake J, Munro HM, Signorello LB, and Blot WJ
Abstract: PURPOSE: This paper examines the rates of recent mammography use among African American and White women, the influence of demographic characteristics, socioeconomic status, health insurance coverage, and breast cancer risk factors on recent mammography use and reasons for not having a mammogram. METHODS: Cross-sectional data from the Southern Community Cohort Study were used to analyze mammography use among African American and White women. RESULTS: Among 27,123 mostly low-income women age 42-79 in the Southern Community Cohort Study, the rate of recent (within the past 2 years) mammography use was 73% among African Americans and 68% among Whites. Health insurance coverage, age, household income, education, family history of breast cancer, hormone replacement therapy use, and post-menopausal status were positively associated with recent mammography, whereas consumption of 2 or more alcoholic drinks/day was negatively associated. These associations were observed in both African American and White women who never had received a mammogram (non-users) although some variation existed. Differential effects of these factors on recent mammography were also examined in non-users and past users. Doctor has not recommended this test and cost were the two most commonly self-reported reasons for non-use. CONCLUSIONS: Characteristics of non-users and past users identified may provide valuable information for maintaining the progress made and for further improving adherence to the screening guidelines. [ABSTRACT FROM AUTHOR]
Published: 2007
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35. Separate estimates of portion size were not essential for energy and nutrient estimation: results from the Southern Community Cohort food-frequency questionnaire pilot study.

Author: Schlundt DG, Buchowski MS, Hargreaves MK, Hankin JH, Signorello LB, Blot WJ, Schlundt, David G, Buchowski, Maciej S, Hargreaves, Margaret K, Hankin, Jean H, Signorello, Lisa B, and Blot, William J
Abstract: Objective: A food-frequency questionnaire (FFQ) was developed to assess habitual dietary intake in the Southern Community Cohort Study (SCCS), a prospective epidemiological study to analyse disparities in cancer and other chronic diseases between African-Americans and Whites.Design: Frequency and portion size estimates were obtained for each of 104 foods. Daily intakes of 13 food groups, energy and 18 nutrients were computed. Each participant's rank and quintile classification of nutrient intakes was determined with and without the use of the subject's reported portion size.Subjects: The sample was obtained from the SCCS pilot study conducted in Tennessee, Mississippi and Florida, and consisted of 209 adults, 54% African-American, with a mean (standard deviation) age of 57.1 (12.5) years.Results: Correlations between the ranks from the two methods of estimation were high, ranging from 0.66 to 0.94 for food groups and 0.81 to 0.94 for nutrients. Pearson correlations were similarly high for food groups and nutrients. Concordance in exact quintile rank across the nutrient indices ranged from 52 to 70%, rising to 90-99% for concordance within adjacent quintiles.Conclusions: To reduce the respondents' burden and to increase data completeness, the assignment of a uniform portion size when scoring the SCCS FFQ was considered acceptable. [ABSTRACT FROM AUTHOR]
Published: 2007
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36. Caffeine intake and the risk of first-trimester spontaneous abortion.

Author: Cnattingius S, Signorello LB, Annerén G, Clausson B, Ekbom A, Ljunger E, Blot WJ, McLaughlin JK, Petersson G, Rane A, and Granath F
Published: 2000

37. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

Author: Pontificia Universidad Javeriana. Facultad de Medicina. Instituto de Genética Humana, Michailidou, K, Beesley, J, Lindstrom, S, Canisius, S, Dennis, J, Lush, MJ, Maranian, MJ, Bolla, MK, Wang, Q, Shah, M, Perkins, BJ, Czene, K, Eriksson, M, Darabi, H, Brand, JS, Bojesen, SE, Nordestgaard, BG, Flyger, H, Nielsen, SF, Rahman, N, Turnbull, C, BOCS, Fletcher, O, Peto, J, Gibson, L, dos-Santos-Silva, I, Chang-Claude, J, Flesch-Janys, D, Rudolph, A, Eilber, U, Behrens, S, Nevanlinna, H, Muranen, TA, Aittomäki, K, Blomqvist, C, Khan, S, Aaltonen, K, Ahsan, H, Kibriya, MG, Whittemore, AS, John, EM, Malone, KE, Gammon, MD, Santella, RM, Ursin, G, Makalic, E, Schmidt, DF, Casey, G, Hunter, DJ, Gapstur, SM, Gaudet, MM, Diver, WR, Haiman, CA, Schumacher, F, Henderson, BE, Le Marchand, L, Berg, CD, Chanock, SJ, Figueroa, J, Hoover, RN, Lambrechts, D, Neven, P, Wildiers, H, van Limbergen, E, Schmidt, MK, Broeks, A, Verhoef, S, Cornelissen, S, Couch, FJ, Olson, JE, Hallberg, E, Vachon, C, Waisfisz, Q, Meijers-Heijboer, H, Adank, MA, van der Luijt, RB, Li, J, Liu, J, Humphreys, K, Kang, D, Choi, JY, Park, SK, Yoo, KY, Matsuo, K, Ito, H, Iwata, H, Tajima, K, Guénel, P, Truong, T, Mulot, C, Sanchez, M, Burwinkel, B, Marme, F, Surowy, H, Sohn, C, Wu, AH, Tseng, CC, Van Den Berg, D, Stram, DO, González-Neira, A, Benitez, J, Zamora, MP, Perez, JI, Shu, XO, Lu, W, Gao, YT, Cai, H, Cox, A, Cross, SS, Reed, MW, Andrulis, IL, Knight, JA, Glendon, G, Mulligan, AM, Sawyer, EJ, Tomlinson, I, Kerin, MJ, Miller, N, ConFab Investigators, AOCS Group, Lindblom, A, Margolin, S, Teo, SH, Yip, CH, Taib, NA, Tan, GH, Hooning, MJ, Hollestelle, A, Martens, JW, Collée, JM, Blot, W, Signorello, LB, Cai, Q, Hopper, JL, Southey, MC, Tsimiklis, H, Apicella, C, Shen, CY, Hsiung, CN, Wu, PE, Hou, MF, Kristensen, VN, Nord, S, Alnaes, GI, NBCS, Giles, GG, Milne, RL, McLean, C, Canzian, F, Trichopoulos, D, Peeters, P, Lund, E, Sund, M, Khaw, KT, Gunter, MJ, Palli, D, Mortensen, LM, Dossus, L, Huerta, JM, Meindl, A, Schmutzler, RK, Sutter, C, Yang, R, Muir, K, Lophatananon, A, Stewart-Brown, S, Siriwanarangsan, P, Hartman, M, Miao, H, Chia, KS, Chan, CW, Fasching, PA, Hein, A, Beckmann, MW, Haeberle, L, Brenner, H, Dieffenbach, AK, Arndt, V, Stegmaier, C, Ashworth, A, Orr, N, Schoemaker, MJ, Swerdlow, AJ, Brinton, L, Garcia-Closas, M, Zheng, W, Halverson, SL, Shrubsole, M, Long, J, Goldberg, MS, Labrèche, F, Dumont, M, Winqvist, R, Pylkäs, K, Jukkola-Vuorinen, A, Grip, M, Brauch, H, Hamann, U, Brüning, T, GENICA Network, Radice, P, Peterlongo, P, Manoukian, S, Bernard, L, Bogdanova, NV, Dörk, T, Mannermaa, A, Kataja, V, Kosma, VM, Hartikainen, JM, Devilee, P, Tollenaar, RA, Seynaeve, C, Van Asperen, CJ, Jakubowska, A, Lubinski, J, Jaworska, K, Huzarski, T, Sangrajrang, S, Gaborieau, V, Brennan, P, McKay, J, Slager, S, Toland, AE, Ambrosone, CB, Yannoukakos, D, Kabisch, M, Torres, D, Neuhausen, SL, Anton-Culver, H, Luccarini, C, Baynes, C, Ahmed, S, Healey, CS, Tessier, DC, Vincent, D, Bacot, F, Pita, G, Alonso, MR, Álvarez, N, Herrero, D, Simard, J, Pharoah, PP, Kraft, P, Dunning, AM, Chenevix-Trench, G, Hall, P, Easton, DF, Pontificia Universidad Javeriana. Facultad de Medicina. Instituto de Genética Humana, Michailidou, K, Beesley, J, Lindstrom, S, Canisius, S, Dennis, J, Lush, MJ, Maranian, MJ, Bolla, MK, Wang, Q, Shah, M, Perkins, BJ, Czene, K, Eriksson, M, Darabi, H, Brand, JS, Bojesen, SE, Nordestgaard, BG, Flyger, H, Nielsen, SF, Rahman, N, Turnbull, C, BOCS, Fletcher, O, Peto, J, Gibson, L, dos-Santos-Silva, I, Chang-Claude, J, Flesch-Janys, D, Rudolph, A, Eilber, U, Behrens, S, Nevanlinna, H, Muranen, TA, Aittomäki, K, Blomqvist, C, Khan, S, Aaltonen, K, Ahsan, H, Kibriya, MG, Whittemore, AS, John, EM, Malone, KE, Gammon, MD, Santella, RM, Ursin, G, Makalic, E, Schmidt, DF, Casey, G, Hunter, DJ, Gapstur, SM, Gaudet, MM, Diver, WR, Haiman, CA, Schumacher, F, Henderson, BE, Le Marchand, L, Berg, CD, Chanock, SJ, Figueroa, J, Hoover, RN, Lambrechts, D, Neven, P, Wildiers, H, van Limbergen, E, Schmidt, MK, Broeks, A, Verhoef, S, Cornelissen, S, Couch, FJ, Olson, JE, Hallberg, E, Vachon, C, Waisfisz, Q, Meijers-Heijboer, H, Adank, MA, van der Luijt, RB, Li, J, Liu, J, Humphreys, K, Kang, D, Choi, JY, Park, SK, Yoo, KY, Matsuo, K, Ito, H, Iwata, H, Tajima, K, Guénel, P, Truong, T, Mulot, C, Sanchez, M, Burwinkel, B, Marme, F, Surowy, H, Sohn, C, Wu, AH, Tseng, CC, Van Den Berg, D, Stram, DO, González-Neira, A, Benitez, J, Zamora, MP, Perez, JI, Shu, XO, Lu, W, Gao, YT, Cai, H, Cox, A, Cross, SS, Reed, MW, Andrulis, IL, Knight, JA, Glendon, G, Mulligan, AM, Sawyer, EJ, Tomlinson, I, Kerin, MJ, Miller, N, ConFab Investigators, AOCS Group, Lindblom, A, Margolin, S, Teo, SH, Yip, CH, Taib, NA, Tan, GH, Hooning, MJ, Hollestelle, A, Martens, JW, Collée, JM, Blot, W, Signorello, LB, Cai, Q, Hopper, JL, Southey, MC, Tsimiklis, H, Apicella, C, Shen, CY, Hsiung, CN, Wu, PE, Hou, MF, Kristensen, VN, Nord, S, Alnaes, GI, NBCS, Giles, GG, Milne, RL, McLean, C, Canzian, F, Trichopoulos, D, Peeters, P, Lund, E, Sund, M, Khaw, KT, Gunter, MJ, Palli, D, Mortensen, LM, Dossus, L, Huerta, JM, Meindl, A, Schmutzler, RK, Sutter, C, Yang, R, Muir, K, Lophatananon, A, Stewart-Brown, S, Siriwanarangsan, P, Hartman, M, Miao, H, Chia, KS, Chan, CW, Fasching, PA, Hein, A, Beckmann, MW, Haeberle, L, Brenner, H, Dieffenbach, AK, Arndt, V, Stegmaier, C, Ashworth, A, Orr, N, Schoemaker, MJ, Swerdlow, AJ, Brinton, L, Garcia-Closas, M, Zheng, W, Halverson, SL, Shrubsole, M, Long, J, Goldberg, MS, Labrèche, F, Dumont, M, Winqvist, R, Pylkäs, K, Jukkola-Vuorinen, A, Grip, M, Brauch, H, Hamann, U, Brüning, T, GENICA Network, Radice, P, Peterlongo, P, Manoukian, S, Bernard, L, Bogdanova, NV, Dörk, T, Mannermaa, A, Kataja, V, Kosma, VM, Hartikainen, JM, Devilee, P, Tollenaar, RA, Seynaeve, C, Van Asperen, CJ, Jakubowska, A, Lubinski, J, Jaworska, K, Huzarski, T, Sangrajrang, S, Gaborieau, V, Brennan, P, McKay, J, Slager, S, Toland, AE, Ambrosone, CB, Yannoukakos, D, Kabisch, M, Torres, D, Neuhausen, SL, Anton-Culver, H, Luccarini, C, Baynes, C, Ahmed, S, Healey, CS, Tessier, DC, Vincent, D, Bacot, F, Pita, G, Alonso, MR, Álvarez, N, Herrero, D, Simard, J, Pharoah, PP, Kraft, P, Dunning, AM, Chenevix-Trench, G, Hall, P, and Easton, DF

38. Prostate cancer screening between low-income African-American and Caucasian men.

Author: Fowke JH, Schlundt D, Signorello LB, Ukoli FAM, Blot WJ, Fowke, Jay H, Schlundt, David, Signorello, Lisa B, Ukoli, Flora A M, and Blot, William J
Abstract: Objective: African-Americans (AA) are more likely than Caucasians (CA) to be diagnosed with advanced prostate cancer, perhaps due to delayed detection. We investigated racial differences in prostate cancer screening according to age and socioeconomic and demographic indices in a large and predominantly low-income population.Methods: In-person interviews were conducted with 12,552 men, 84% AA, recruited during 2002 through 2004 from 25 community health centers in the southern United States. Prostate specific antigen test (PSA) and digital rectal examination (DRE) histories, and socioeconomic and demographic indices (i.e., education, household income, health insurance, and marital status) were determined. Odds ratios (OR) from logistic regression summarized the screening and race association as a function of age, while controlling for socioeconomic status (SES).Results: Racial differences in screening prevalence varied with age. Of men older than 65 years, CA were significantly more likely to report a PSA test (OR = 1.4) or DRE (OR = 1.5) within the past 12 months. However, these disparities were reduced with control for SES (PSA: OR =1.2; DRE: OR = 1.3, P > 0.05). In contrast, at ages younger than 65, CA were equally or less likely to have received a recent PSA test or DRE, particularly at ages 45-49 years (PSA: OR = 0.7; DRE: OR = 0.9), with little change after SES adjustment.Conclusions: Consistent with several screening recommendations, younger AA men, especially those younger than age 50, are more likely than CA to have had a recent PSA test or DRE, independent of SES. Of men older than age 65, less frequent use of screening among AA than CA seems partly attributable to SES and factors other than race. [ABSTRACT FROM AUTHOR]
Published: 2005
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39. The reliability of dietary data for self- and next-of-kin respondents.

Author: Fryzek JP, Lipworth L, Signorello LB, McLaughlin JK, Fryzek, Jon P, Lipworth, Loren, Signorello, Lisa B, and Mclaughlin, Joseph K
Abstract: Background: In case-control studies, recalled dietary data from next-of-kin are sometimes used as a surrogate measure of exposure; however, there is limited evidence comparing the ability of study participants and next-of-kin surrogates for the reliability of their responses with respect to past dietary recall.Methods: We compared dietary information from 303 subjects who were administered a food frequency questionnaire in 1980 with that from 196 of the same subjects and 107 next-of-kin of deceased subjects 5 years later, but with reference to 1980 diet. Agreement between 1980 and 1985 reporting with respect to food groups, food preparation methods, and adherence to special diets was primarily assessed using the kappa statistic.Results: The concordance between 1980 and 1985 reporting of specific food groups was generally poor. Regarding various methods of cooking meats and the use of different types of cooking fats, next-of-kin respondents showed very poor agreement with the reporting of their deceased relatives, and within-subject agreement was also poor for frying meats, baking meats, and for cooking with margarine and vegetable oil. Subjects and next-of-kin were able to reproduce earlier reporting of a special ulcer diet, but not diabetic or low-salt diets. Overall, subjects tended to have better agreement with their own earlier reporting than did next-of-kin, and spouses were found to be more reliable next-of-kin respondents than other relatives.Conclusions: Dietary data collected retrospectively from next-of-kin may be unreliable. [ABSTRACT FROM AUTHOR]
Published: 2002
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40. A decline in breast-cancer incidence.

Author: Bluming AZ, Elfenbein GJ, Kliewer EV, Demers AA, Nugent ZJ, Zahl P, Maehlen J, Cady B, Chung BC, Chung MA, Michaelson JS, Robbins AS, Clarke CA, Signorello LB, Tarone RE, Ravdin PM, Cronin KA, and Chlebowski RT
Published: 2007

41. Acetaminophen, aspirin, and chronic renal failure.

Author: Fored CM, Ejerblad E, Lindblad P, Fryzek JP, Dickman PW, Signorello LB, Lipworth L, Elinder C, Blot WJ, McLaughlin JK, Zack MM, and Nyrén O
Published: 2001

42. Redefining precision cancer prevention to promote health equity.

Author: Butler EN, Umar A, Heckman-Stoddard BM, Kundrod KA, Signorello LB, and Castle PE
Subjects: Health Promotion, Health Status Disparities, Humans, Social Determinants of Health, Health Equity, Neoplasms genetics, Neoplasms prevention & control
Abstract: Precision cancer prevention as it is currently envisioned is a targeted, molecular-based approach to intercept carcinogenesis before cancer develops or before it becomes untreatable. Unfortunately, due to systemic biases, current precision cancer prevention interventions might not be effective in all populations, especially in minoritized communities. In addition, not all cancer risk is attributable to genetic or even biological factors, but includes social determinants of health (SDH). Here, we propose a broader framework for precision cancer prevention, anchored in optimizing the benefits to harms for all people. We propose that precision cancer prevention considers not only what is being delivered, but also for whom, where, and how, with a goal of achieving cancer prevention health equity., Competing Interests: Declaration of interests None declared by the authors., (Published by Elsevier Inc.)
Published: 2022
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43. The oral microbiome in relation to pancreatic cancer risk in African Americans.

Author: Petrick JL, Wilkinson JE, Michaud DS, Cai Q, Gerlovin H, Signorello LB, Wolpin BM, Ruiz-Narváez EA, Long J, Yang Y, Johnson WE, Shu XO, Huttenhower C, and Palmer JR
Subjects: Case-Control Studies, Female, Humans, Male, Middle Aged, Pancreatic Neoplasms epidemiology, Pancreatic Neoplasms microbiology, Prospective Studies, Risk Factors, United States epidemiology, Black or African American, Black People genetics, Microbiota, Mouth microbiology, Pancreatic Neoplasms pathology
Abstract: Background: African Americans have the highest pancreatic cancer incidence of any racial/ethnic group in the United States. The oral microbiome was associated with pancreatic cancer risk in a recent study, but no such studies have been conducted in African Americans. Poor oral health, which can be a cause or effect of microbial populations, was associated with an increased risk of pancreatic cancer in a single study of African Americans., Methods: We prospectively investigated the oral microbiome in relation to pancreatic cancer risk among 122 African-American pancreatic cancer cases and 354 controls. DNA was extracted from oral wash samples for metagenomic shotgun sequencing. Alpha and beta diversity of the microbial profiles were calculated. Multivariable conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between microbes and pancreatic cancer risk., Results: No associations were observed with alpha or beta diversity, and no individual microbial taxa were differentially abundant between cases and control, after accounting for multiple comparisons. Among never smokers, there were elevated ORs for known oral pathogens: Porphyromonas gingivalis (OR = 1.69, 95% CI: 0.80-3.56), Prevotella intermedia (OR = 1.40, 95% CI: 0.69-2.85), and Tannerella forsythia (OR = 1.36, 95% CI: 0.66-2.77)., Conclusions: Previously reported associations between oral taxa and pancreatic cancer were not present in this African-American population overall., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited.)
Published: 2022
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44. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry.

Author: Graff M, Justice AE, Young KL, Marouli E, Zhang X, Fine RS, Lim E, Buchanan V, Rand K, Feitosa MF, Wojczynski MK, Yanek LR, Shao Y, Rohde R, Adeyemo AA, Aldrich MC, Allison MA, Ambrosone CB, Ambs S, Amos C, Arnett DK, Atwood L, Bandera EV, Bartz T, Becker DM, Berndt SI, Bernstein L, Bielak LF, Blot WJ, Bottinger EP, Bowden DW, Bradfield JP, Brody JA, Broeckel U, Burke G, Cade BE, Cai Q, Caporaso N, Carlson C, Carpten J, Casey G, Chanock SJ, Chen G, Chen M, Chen YI, Chen WM, Chesi A, Chiang CWK, Chu L, Coetzee GA, Conti DV, Cooper RS, Cushman M, Demerath E, Deming SL, Dimitrov L, Ding J, Diver WR, Duan Q, Evans MK, Falusi AG, Faul JD, Fornage M, Fox C, Freedman BI, Garcia M, Gillanders EM, Goodman P, Gottesman O, Grant SFA, Guo X, Hakonarson H, Haritunians T, Harris TB, Harris CC, Henderson BE, Hennis A, Hernandez DG, Hirschhorn JN, McNeill LH, Howard TD, Howard B, Hsing AW, Hsu YH, Hu JJ, Huff CD, Huo D, Ingles SA, Irvin MR, John EM, Johnson KC, Jordan JM, Kabagambe EK, Kang SJ, Kardia SL, Keating BJ, Kittles RA, Klein EA, Kolb S, Kolonel LN, Kooperberg C, Kuller L, Kutlar A, Lange L, Langefeld CD, Le Marchand L, Leonard H, Lettre G, Levin AM, Li Y, Li J, Liu Y, Liu Y, Liu S, Lohman K, Lotay V, Lu Y, Maixner W, Manson JE, McKnight B, Meng Y, Monda KL, Monroe K, Moore JH, Mosley TH, Mudgal P, Murphy AB, Nadukuru R, Nalls MA, Nathanson KL, Nayak U, N'Diaye A, Nemesure B, Neslund-Dudas C, Neuhouser ML, Nyante S, Ochs-Balcom H, Ogundiran TO, Ogunniyi A, Ojengbede O, Okut H, Olopade OI, Olshan A, Padhukasahasram B, Palmer J, Palmer CD, Palmer ND, Papanicolaou G, Patel SR, Pettaway CA, Peyser PA, Press MF, Rao DC, Rasmussen-Torvik LJ, Redline S, Reiner AP, Rhie SK, Rodriguez-Gil JL, Rotimi CN, Rotter JI, Ruiz-Narvaez EA, Rybicki BA, Salako B, Sale MM, Sanderson M, Schadt E, Schreiner PJ, Schurmann C, Schwartz AG, Shriner DA, Signorello LB, Singleton AB, Siscovick DS, Smith JA, Smith S, Speliotes E, Spitz M, Stanford JL, Stevens VL, Stram A, Strom SS, Sucheston L, Sun YV, Tajuddin SM, Taylor H, Taylor K, Tayo BO, Thun MJ, Tucker MA, Vaidya D, Van Den Berg DJ, Vedantam S, Vitolins M, Wang Z, Ware EB, Wassertheil-Smoller S, Weir DR, Wiencke JK, Williams SM, Williams LK, Wilson JG, Witte JS, Wrensch M, Wu X, Yao J, Zakai N, Zanetti K, Zemel BS, Zhao W, Zhao JH, Zheng W, Zhi D, Zhou J, Zhu X, Ziegler RG, Zmuda J, Zonderman AB, Psaty BM, Borecki IB, Cupples LA, Liu CT, Haiman CA, Loos R, Ng MCY, and North KE
Subjects: Africa ethnology, Black or African American genetics, Europe ethnology, Female, Humans, Male, Polymorphism, Single Nucleotide genetics, Black People genetics, Body Height genetics, Genome-Wide Association Study
Abstract: Although many loci have been associated with height in European ancestry populations, very few have been identified in African ancestry individuals. Furthermore, many of the known loci have yet to be generalized to and fine-mapped within a large-scale African ancestry sample. We performed sex-combined and sex-stratified meta-analyses in up to 52,764 individuals with height and genome-wide genotyping data from the African Ancestry Anthropometry Genetics Consortium (AAAGC). We additionally combined our African ancestry meta-analysis results with published European genome-wide association study (GWAS) data. In the African ancestry analyses, we identified three novel loci (SLC4A3, NCOA2, ECD/FAM149B1) in sex-combined results and two loci (CRB1, KLF6) in women only. In the African plus European sex-combined GWAS, we identified an additional three novel loci (RCCD1, G6PC3, CEP95) which were equally driven by AAAGC and European results. Among 39 genome-wide significant signals at known loci, conditioning index SNPs from European studies identified 20 secondary signals. Two of the 20 new secondary signals and none of the 8 novel loci had minor allele frequencies (MAF) < 5%. Of 802 known European height signals, 643 displayed directionally consistent associations with height, of which 205 were nominally significant (p < 0.05) in the African ancestry sex-combined sample. Furthermore, 148 of 241 loci contained ≤20 variants in the credible sets that jointly account for 99% of the posterior probability of driving the associations. In summary, trans-ethnic meta-analyses revealed novel signals and further improved fine-mapping of putative causal variants in loci shared between African and European ancestry populations., (Copyright © 2021 American Society of Human Genetics. All rights reserved.)
Published: 2021
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45. Association of Blood Marker of Inflammation in Late Adolescence With Premature Mortality.

Author: Kantor ED, Udumyan R, Giovannucci EL, Valdimarsdottir UA, Signorello LB, Montgomery S, and Fall K
Published: 2019
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46. Socioenvironmental adversity and risk of prostate cancer in non-Hispanic black and white men.

Author: Kantor ED, Haneuse S, Valdimarsdóttir UA, Williams DR, Signorello LB, and Rider JR
Subjects: Adult, Aged, Cohort Studies, Humans, Male, Middle Aged, Prostatic Neoplasms ethnology, Risk Factors, Social Class, Social Environment, Black or African American statistics & numerical data, Prostatic Neoplasms epidemiology, White People statistics & numerical data
Abstract: Non-Hispanic black (NHB) men experience higher risk of prostate cancer than other racial/ethnic groups, and it is possible that socioenvironmental (SE) adversity and resulting stress may contribute to this disparity. Data from the Southern Community Cohort Study were used to evaluate associations between SE adversity and perceived stress in relation to prostate cancer risk, overall and by race/ethnicity and grade. Between 2002 and 2009, 26,741 men completed a questionnaire, from which an 8-item SE adversity composite was created (covering socioeconomic status, residential environment, and social support/buffers). Two items from the Perceived Stress Scale were assessed. With follow-up through 2011, 527 prostate cancer cases were diagnosed. In multivariable models, each one-unit increase in the SE adversity composite was associated with increased prostate cancer risk among non-Hispanic white (NHW) men (HR 1.23; 95% CI 1.02-1.48) and reduced risk among NHB men (HR 0.89; 95% CI 0.82-0.95) (p interaction: 0.001). This pattern held for low grade, but not high grade, cancers although power was limited for the latter. Perceived stress variables were associated with increased risk of prostate cancer among NHW men, but not among NHB men. Results do not support the hypothesis that SE adversity my underlay the racial disparity in prostate cancer, over and above that of covariates, including healthcare utilization.
Published: 2019
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47. Allergies and Asthma in Relation to Cancer Risk.

Author: Kantor ED, Hsu M, Du M, and Signorello LB
Subjects: Adult, Aged, Asthma immunology, Ethnicity statistics & numerical data, Female, Follow-Up Studies, Humans, Hypersensitivity immunology, Lung Neoplasms immunology, Male, Middle Aged, Prognosis, Prospective Studies, Risk Factors, Southeastern United States epidemiology, Asthma epidemiology, Hypersensitivity epidemiology, Lung Neoplasms epidemiology
Abstract: Background: Allergies and asthma, conditions commonly characterized by immunoglobulin E-mediated atopic reactions, may decrease cancer risk via increases in immunosurveillance, but may increase risk due to persistent immune stimulation. Associations between allergies and asthma and cancer risk remain unclear, and it is unknown whether associations vary by race/ethnicity., Methods: We evaluated these associations in the Southern Community Cohort Study. At baseline (2002-2009), 64,170 participants were queried on history of allergies and asthma; participants were followed through 2011, during which time 3,628 incident, invasive cancers were identified, including 667 lung cancers, 539 breast cancers, and 529 prostate cancers. Cox proportional hazards regression was used to estimate multivariable-adjusted HRs and 95% confidence intervals (CI)., Results: Neither allergies nor asthma was associated with risk of developing invasive cancer overall. Asthma was associated with increased lung cancer risk (HR, 1.25; 95% CI, 1.00-1.57), with no variation by race/ethnicity ( P interaction = 0.84). Conversely, history of allergies was associated with decreased lung cancer risk (HR, 0.80; 95% CI, 0.65-1.00), with an inverse association observed among non-Hispanic whites (HR, 0.65; 95% CI, 0.45-0.94) but not non-Hispanic blacks (HR, 0.95; 95% CI, 0.73-1.25; P interaction = 0.10). No statistically significant associations were observed for risk of breast or prostate cancers, overall or by race/ethnicity., Conclusions: No associations were observed for risk of overall cancer, breast cancer, or prostate cancer. While asthma was associated with increased lung cancer risk, history of allergies was associated with decreased risk, an association driven by an inverse association among non-Hispanic whites., Impact: Associations pertaining to lung cancer merit follow up in a large, diverse study., (©2019 American Association for Cancer Research.)
Published: 2019
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48. Novel colon cancer susceptibility variants identified from a genome-wide association study in African Americans.

Author: Wang H, Schmit SL, Haiman CA, Keku TO, Kato I, Palmer JR, van den Berg D, Wilkens LR, Burnett T, Conti DV, Schumacher FR, Signorello LB, Blot WJ, Zanetti KA, Harris C, Pande M, Berndt SI, Newcomb PA, West DW, Haile R, Stram DO, Figueiredo JC, and Le Marchand L
Subjects: Adult, Black or African American genetics, Aged, Alleles, Asian People genetics, Chromosomes, Human, Pair 19 genetics, Colonic Neoplasms ethnology, Female, Gene Frequency, Genetic Predisposition to Disease ethnology, Genotype, Hispanic or Latino genetics, Humans, Male, Middle Aged, Nuclear Proteins genetics, Risk Factors, Colonic Neoplasms genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study methods, Polymorphism, Single Nucleotide
Abstract: Genome-wide association studies (GWAS) in ethnic/racial minority populations can help to fine-map previously identified risk regions or discover new risk loci because of the genetic diversity in these populations. We conducted a GWAS of colorectal cancer (CRC) in 6,597 African Americans (1,894 cases and 4,703 controls) (Stage 1) and followed up the most promising markers in a replication set of 2,041 participants of African descent (891 cases and 1,150 controls) (Stage 2). We identified a novel variant, rs56848936 in the gene SYMPK at 19q13.3, associated with colon cancer risk (odds ratio 0.61 for the risk allele G, p = 2.4 × 10 -8 ). The frequency of the G allele was 0.06 in African Americans, compared to <0.01 in Europeans, Asians and Amerindians in the 1000 Genomes project. In addition, a variant previously identified through fine-mapping in this GWAS in the region 19q13.1, rs7252505, was confirmed to be more strongly associated with CRC in the African American replication set than the variant originally reported in Europeans (rs10411210). The association between rs7252505 and CRC was of borderline significance (p = 0.05) in a Hispanic population GWAS with 1,611 CRC cases and 4,330 controls. With the three datasets combined, the odds ratio was 0.84 for the risk allele A (95% confidence interval 0.79-0.89, p = 3.7 × 10 -8 ). This study further highlights the importance of conducting GWAS studies in diverse ancestry populations., (© 2017 UICC.)
Published: 2017
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49. Built Environment and Depression in Low-Income African Americans and Whites.

Author: James P, Hart JE, Banay RF, Laden F, and Signorello LB
Subjects: Adult, Black or African American, Cohort Studies, Depression epidemiology, Female, Humans, Male, Middle Aged, Residence Characteristics, Southeastern United States epidemiology, Walking, White People, Cities, Depression etiology, Urban Population statistics & numerical data
Abstract: Introduction: Urban environments are associated with a higher risk of adverse mental health outcomes; however, it is unclear which specific components of the urban environment drive these associations., Methods: Using data collected in 2002-2009 from 73,225 low-income, racially diverse individuals across the Southeastern U.S., analyses evaluated the cross-sectional relationship between a walkability index and depression. Walkability was calculated from population density, street connectivity, and destination count in the 1,200-meter area around participants' homes, and depression was measured using the Center for Epidemiologic Studies Depression Scale for depression symptomatology and questionnaire responses regarding doctor-diagnosed depression and antidepressant use. Data were analyzed in 2015., Results: Participants living in neighborhoods with the highest walkability index had 6% higher odds of moderate or greater depression symptoms (score ≥15, 95% CI=0.99, 1.14), 28% higher odds of doctor-diagnosed depression (95% CI=1.20, 1.36), and 16% higher odds of current antidepressant use (95% CI=1.08, 1.25), compared with those in the lowest walkability index. Higher walkability was associated with higher odds of depression symptoms in the most deprived neighborhoods only, whereas walkability was associated with lower odds of depression symptoms in the least deprived neighborhoods., Conclusions: Living in a more walkable neighborhood was associated with modestly higher levels of doctor-diagnosed depression and antidepressant use, and walkability was associated with greater depression symptoms in neighborhoods with higher deprivation. Although dense urban environments may provide opportunities for physical activity, they may also increase exposure to noise, air pollution, and social stressors that could increase levels of depression., (Copyright © 2016 American Journal of Preventive Medicine. All rights reserved.)
Published: 2017
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50. A Meta-analysis of Multiple Myeloma Risk Regions in African and European Ancestry Populations Identifies Putatively Functional Loci.

Author: Rand KA, Song C, Dean E, Serie DJ, Curtin K, Sheng X, Hu D, Huff CA, Bernal-Mizrachi L, Tomasson MH, Ailawadhi S, Singhal S, Pawlish K, Peters ES, Bock CH, Stram A, Van Den Berg DJ, Edlund CK, Conti DV, Zimmerman T, Hwang AE, Huntsman S, Graff J, Nooka A, Kong Y, Pregja SL, Berndt SI, Blot WJ, Carpten J, Casey G, Chu L, Diver WR, Stevens VL, Lieber MR, Goodman PJ, Hennis AJ, Hsing AW, Mehta J, Kittles RA, Kolb S, Klein EA, Leske C, Murphy AB, Nemesure B, Neslund-Dudas C, Strom SS, Vij R, Rybicki BA, Stanford JL, Signorello LB, Witte JS, Ambrosone CB, Bhatti P, John EM, Bernstein L, Zheng W, Olshan AF, Hu JJ, Ziegler RG, Nyante SJ, Bandera EV, Birmann BM, Ingles SA, Press MF, Atanackovic D, Glenn MJ, Cannon-Albright LA, Jones B, Tricot G, Martin TG, Kumar SK, Wolf JL, Deming Halverson SL, Rothman N, Brooks-Wilson AR, Rajkumar SV, Kolonel LN, Chanock SJ, Slager SL, Severson RK, Janakiraman N, Terebelo HR, Brown EE, De Roos AJ, Mohrbacher AF, Colditz GA, Giles GG, Spinelli JJ, Chiu BC, Munshi NC, Anderson KC, Levy J, Zonder JA, Orlowski RZ, Lonial S, Camp NJ, Vachon CM, Ziv E, Stram DO, Hazelett DJ, Haiman CA, and Cozen W
Subjects: Adult, Aged, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Middle Aged, Multiple Myeloma metabolism, Polycomb Repressive Complex 1 genetics, Protein Serine-Threonine Kinases genetics, Repressor Proteins genetics, Transmembrane Activator and CAML Interactor Protein genetics, Black People genetics, Genetic Predisposition to Disease, Multiple Myeloma genetics, Polymorphism, Single Nucleotide, White People genetics
Abstract: Background: Genome-wide association studies (GWAS) in European populations have identified genetic risk variants associated with multiple myeloma., Methods: We performed association testing of common variation in eight regions in 1,318 patients with multiple myeloma and 1,480 controls of European ancestry and 1,305 patients with multiple myeloma and 7,078 controls of African ancestry and conducted a meta-analysis to localize the signals, with epigenetic annotation used to predict functionality., Results: We found that variants in 7p15.3, 17p11.2, 22q13.1 were statistically significantly (P < 0.05) associated with multiple myeloma risk in persons of African ancestry and persons of European ancestry, and the variant in 3p22.1 was associated in European ancestry only. In a combined African ancestry-European ancestry meta-analysis, variation in five regions (2p23.3, 3p22.1, 7p15.3, 17p11.2, 22q13.1) was statistically significantly associated with multiple myeloma risk. In 3p22.1, the correlated variants clustered within the gene body of ULK4 Correlated variants in 7p15.3 clustered around an enhancer at the 3' end of the CDCA7L transcription termination site. A missense variant at 17p11.2 (rs34562254, Pro251Leu, OR, 1.32; P = 2.93 × 10 -7 ) in TNFRSF13B encodes a lymphocyte-specific protein in the TNF receptor family that interacts with the NF-κB pathway. SNPs correlated with the index signal in 22q13.1 cluster around the promoter and enhancer regions of CBX7 CONCLUSIONS: We found that reported multiple myeloma susceptibility regions contain risk variants important across populations, supporting the use of multiple racial/ethnic groups with different underlying genetic architecture to enhance the localization and identification of putatively functional alleles., Impact: A subset of reported risk loci for multiple myeloma has consistent effects across populations and is likely to be functional. Cancer Epidemiol Biomarkers Prev; 25(12); 1609-18. ©2016 AACR., (©2016 American Association for Cancer Research.)
Published: 2016
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