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79 results on '"Riby, J"'

1. Association of lifestyle and demographic factors with estrogenic and glucocorticogenic activity in Mexican American women

Author: Fejerman, L., Sanchez, S.S., Thomas, R., Tachachartvanich, P., Riby, J., Gomez, S.L., John, E.M., and Smith, M.T.
Published: 2016

2. Follicular lymphoma-protective HLA class II variants correlate with increased HLA-DQB1 protein expression

Author: Sillé, F C M, Conde, L, Zhang, J, Akers, N K, Sanchez, S, Maltbaek, J, Riby, J E, Smith, M T, and Skibola, C F
Published: 2014
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3. Drawing a line with coastal communities

Author: Riby, J, primary, Rowe, S, additional, and Guthrie, J, additional
Published: 2007
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4. Lupus-related single nucleotide polymorphisms and risk of diffuse large B-cell lymphoma

Author: Bernatsky, S, Garcia, HAV, Spinelli, JJ, Gaffney, P, Smedby, KE, Ramsey-Goldman, R, Wang, SS, Adami, H-O, Albanes, D, Angelucci, E, Ansell, SM, Asmann, YW, Becker, N, Benavente, Y, Berndt, SI, Bertrand, KA, Birmann, BM, Boeing, H, Boffetta, P, Bracci, PM, Brennan, P, Brooks-Wilson, AR, Cerhan, JR, Chanock, SJ, Clavel, J, Conde, L, Cotenbader, KH, Cox, DG, Cozen, W, Crouch, S, De Roos, AJ, de Sanjose, S, Di Lollo, S, Diver, WR, Dogan, A, Foretova, L, Ghesquieres, H, Giles, GG, Glimelius, B, Habermann, TM, Haioun, C, Hartge, P, Hjalgrim, H, Holford, TR, Holly, EA, Jackson, RD, Kaaks, R, Kane, E, Kelly, RS, Klein, RJ, Kraft, P, Kricker, A, Lan, Q, Lawrence, C, Liebow, M, Lightfoot, T, Link, BK, Maynadie, M, Mckay, J, Melbye, M, Molina, TJ, Monnereau, A, Morton, LM, Nieters, A, North, KE, Novak, AJ, Offit, K, Purdue, MP, Rais, M, Riby, J, Roman, E, Rothman, N, Salles, G, Severi, G, Severson, RK, Skibola, CF, Slager, SL, Smith, A, Smith, MT, Southey, MC, Staines, A, Teras, LR, Thompson, CA, Tilly, H, Tinker, LF, Tjonneland, A, Turner, J, Vajdic, CM, Vermeulen, RCH, Vijai, J, Vineis, P, Virtamo, J, Wang, Z, Weinstein, S, Witzig, TE, Zelenetz, A, Zeleniuch-Jacquotte, A, Zhang, Y, Zheng, T, Zucca, M, Clarke, AE, Bernatsky, S, Garcia, HAV, Spinelli, JJ, Gaffney, P, Smedby, KE, Ramsey-Goldman, R, Wang, SS, Adami, H-O, Albanes, D, Angelucci, E, Ansell, SM, Asmann, YW, Becker, N, Benavente, Y, Berndt, SI, Bertrand, KA, Birmann, BM, Boeing, H, Boffetta, P, Bracci, PM, Brennan, P, Brooks-Wilson, AR, Cerhan, JR, Chanock, SJ, Clavel, J, Conde, L, Cotenbader, KH, Cox, DG, Cozen, W, Crouch, S, De Roos, AJ, de Sanjose, S, Di Lollo, S, Diver, WR, Dogan, A, Foretova, L, Ghesquieres, H, Giles, GG, Glimelius, B, Habermann, TM, Haioun, C, Hartge, P, Hjalgrim, H, Holford, TR, Holly, EA, Jackson, RD, Kaaks, R, Kane, E, Kelly, RS, Klein, RJ, Kraft, P, Kricker, A, Lan, Q, Lawrence, C, Liebow, M, Lightfoot, T, Link, BK, Maynadie, M, Mckay, J, Melbye, M, Molina, TJ, Monnereau, A, Morton, LM, Nieters, A, North, KE, Novak, AJ, Offit, K, Purdue, MP, Rais, M, Riby, J, Roman, E, Rothman, N, Salles, G, Severi, G, Severson, RK, Skibola, CF, Slager, SL, Smith, A, Smith, MT, Southey, MC, Staines, A, Teras, LR, Thompson, CA, Tilly, H, Tinker, LF, Tjonneland, A, Turner, J, Vajdic, CM, Vermeulen, RCH, Vijai, J, Vineis, P, Virtamo, J, Wang, Z, Weinstein, S, Witzig, TE, Zelenetz, A, Zeleniuch-Jacquotte, A, Zhang, Y, Zheng, T, Zucca, M, and Clarke, AE
Abstract: OBJECTIVE: Determinants of the increased risk of diffuse large B-cell lymphoma (DLBCL) in SLE are unclear. Using data from a recent lymphoma genome-wide association study (GWAS), we assessed whether certain lupus-related single nucleotide polymorphisms (SNPs) were also associated with DLBCL. METHODS: GWAS data on European Caucasians from the International Lymphoma Epidemiology Consortium (InterLymph) provided a total of 3857 DLBCL cases and 7666 general-population controls. Data were pooled in a random-effects meta-analysis. RESULTS: Among the 28 SLE-related SNPs investigated, the two most convincingly associated with risk of DLBCL included the CD40 SLE risk allele rs4810485 on chromosome 20q13 (OR per risk allele=1.09, 95% CI 1.02 to 1.16, p=0.0134), and the HLA SLE risk allele rs1270942 on chromosome 6p21.33 (OR per risk allele=1.17, 95% CI 1.01 to 1.36, p=0.0362). Of additional possible interest were rs2205960 and rs12537284. The rs2205960 SNP, related to a cytokine of the tumour necrosis factor superfamily TNFSF4, was associated with an OR per risk allele of 1.07, 95% CI 1.00 to 1.16, p=0.0549. The OR for the rs12537284 (chromosome 7q32, IRF5 gene) risk allele was 1.08, 95% CI 0.99 to 1.18, p=0.0765. CONCLUSIONS: These data suggest several plausible genetic links between DLBCL and SLE.
Published: 2017

5. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia

Author: Berndt, SI, Camp, NJ, Skibola, CF, Vijai, J, Wang, Z, Gu, J, Nieters, A, Kelly, RS, Smedby, KE, Monnereau, A, Cozen, W, Cox, A, Wang, SS, Lan, Q, Teras, LR, Machado, M, Yeager, M, Brooks-Wilson, AR, Hartge, P, Purdue, MP, Birmann, BM, Vajdic, CM, Cocco, P, Zhang, Y, Giles, GG, Zeleniuch-Jacquotte, A, Lawrence, C, Montalvan, R, Burdett, L, Hutchinson, A, Ye, Y, Call, TG, Shanafelt, TD, Novak, AJ, Kay, NE, Liebow, M, Cunningham, JM, Allmer, C, Hjalgrim, H, Adami, H-O, Melbye, M, Glimelius, B, Chang, ET, Glenn, M, Curtin, K, Cannon-Albright, LA, Diver, WR, Link, BK, Weiner, GJ, Conde, L, Bracci, PM, Riby, J, Arnett, DK, Zhi, D, Leach, JM, Holly, EA, Jackson, RD, Tinker, LF, Benavente, Y, Sala, N, Casabonne, D, Becker, N, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, McKay, J, Staines, A, Chaffee, KG, Achenbach, SJ, Vachon, CM, Goldin, LR, Strom, SS, Leis, JF, Weinberg, JB, Caporaso, NE, Norman, AD, De Roos, AJ, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Kaaks, R, Masala, G, Weiderpass, E, Chirlaque, M-D, Vermeulen, RCH, Travis, RC, Southey, MC, Milne, RL, Albanese, D, Virtamo, J, Weinstein, S, Clavel, J, Zheng, T, Holford, TR, Villano, DJ, Maria, A, Spinelli, JJ, Gascoyne, RD, Connors, JM, Bertrand, KA, Giovannucci, E, Kraft, P, Kricker, A, Turner, J, Ennas, MG, Ferri, GM, Miligi, L, Liang, L, Ma, B, Huang, J, Crouch, S, Park, J-H, Chatterjee, N, North, KE, Snowden, JA, Wright, J, Fraumeni, JF, Offit, K, Wu, X, de Sanjose, S, Cerhan, JR, Chanock, SJ, Rothman, N, Slager, SL, Berndt, SI, Camp, NJ, Skibola, CF, Vijai, J, Wang, Z, Gu, J, Nieters, A, Kelly, RS, Smedby, KE, Monnereau, A, Cozen, W, Cox, A, Wang, SS, Lan, Q, Teras, LR, Machado, M, Yeager, M, Brooks-Wilson, AR, Hartge, P, Purdue, MP, Birmann, BM, Vajdic, CM, Cocco, P, Zhang, Y, Giles, GG, Zeleniuch-Jacquotte, A, Lawrence, C, Montalvan, R, Burdett, L, Hutchinson, A, Ye, Y, Call, TG, Shanafelt, TD, Novak, AJ, Kay, NE, Liebow, M, Cunningham, JM, Allmer, C, Hjalgrim, H, Adami, H-O, Melbye, M, Glimelius, B, Chang, ET, Glenn, M, Curtin, K, Cannon-Albright, LA, Diver, WR, Link, BK, Weiner, GJ, Conde, L, Bracci, PM, Riby, J, Arnett, DK, Zhi, D, Leach, JM, Holly, EA, Jackson, RD, Tinker, LF, Benavente, Y, Sala, N, Casabonne, D, Becker, N, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, McKay, J, Staines, A, Chaffee, KG, Achenbach, SJ, Vachon, CM, Goldin, LR, Strom, SS, Leis, JF, Weinberg, JB, Caporaso, NE, Norman, AD, De Roos, AJ, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Kaaks, R, Masala, G, Weiderpass, E, Chirlaque, M-D, Vermeulen, RCH, Travis, RC, Southey, MC, Milne, RL, Albanese, D, Virtamo, J, Weinstein, S, Clavel, J, Zheng, T, Holford, TR, Villano, DJ, Maria, A, Spinelli, JJ, Gascoyne, RD, Connors, JM, Bertrand, KA, Giovannucci, E, Kraft, P, Kricker, A, Turner, J, Ennas, MG, Ferri, GM, Miligi, L, Liang, L, Ma, B, Huang, J, Crouch, S, Park, J-H, Chatterjee, N, North, KE, Snowden, JA, Wright, J, Fraumeni, JF, Offit, K, Wu, X, de Sanjose, S, Cerhan, JR, Chanock, SJ, Rothman, N, and Slager, SL
Abstract: Chronic lymphocytic leukemia (CLL) is a common lymphoid malignancy with strong heritability. To further understand the genetic susceptibility for CLL and identify common loci associated with risk, we conducted a meta-analysis of four genome-wide association studies (GWAS) composed of 3,100 cases and 7,667 controls with follow-up replication in 1,958 cases and 5,530 controls. Here we report three new loci at 3p24.1 (rs9880772, EOMES, P=2.55 × 10(-11)), 6p25.2 (rs73718779, SERPINB6, P=1.97 × 10(-8)) and 3q28 (rs9815073, LPP, P=3.62 × 10(-8)), as well as a new independent SNP at the known 2q13 locus (rs9308731, BCL2L11, P=1.00 × 10(-11)) in the combined analysis. We find suggestive evidence (P<5 × 10(-7)) for two additional new loci at 4q24 (rs10028805, BANK1, P=7.19 × 10(-8)) and 3p22.2 (rs1274963, CSRNP1, P=2.12 × 10(-7)). Pathway analyses of new and known CLL loci consistently show a strong role for apoptosis, providing further evidence for the importance of this biological pathway in CLL susceptibility.
Published: 2016

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

Author: Berndt, S.I., Skibola, C.F., Joseph, V., Camp, N.J., Nieters, A., Wang, Z., Cozen, W., Monnereau, A., Wang, S.S., Kelly, R.S., Lan, Q., Teras, L.R., Chatterjee, N., Chung, C.C., Yeager, M., Brooks-Wilson, A.R., Hartge, P., Purdue, M.P., Birmann, B.M., Armstrong, B.K., Cocco, P., Zhang, Y., Severi, G., Zeleniuch-Jacquotte, A., Lawrence, C., Burdette, L., Yuenger, J., Hutchinson, A., Jacobs, K.B., Call, T.G., Shanafelt, T.D., Novak, A.J., Kay, N.E., Liebow, M., Wang, A.H., Smedby, K.E., Adami, H.-O., Melbye, M., Glimelius, B., Chang, E.T., Glenn, M., Curtin, K., Cannon-Albright, L.A., Jones, B., Diver, W.R., Link, B.K., Weiner, G.J., Conde, L., Bracci, P.M., Riby, J., Holly, E.A., Smith, M.T., Jackson, R.D., Tinker, L.F., Benavente, Y., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., McKay, J., Staines, A., Rabe, K.G., Achenbach, S.J., Vachon, C.M., Goldin, L.R., Strom, S.S., Lanasa, M.C., Spector, L.G., Leis, J.F., Cunningham, J.M., Weinberg, J.B., Morrison, V.A., Caporaso, N.E., Norman, A.D., Linet, M.S., De Roos, A.J., Morton, L.M., Severson, R.K., Riboli, E., Vineis, P., Kaaks, R., Trichopoulos, D., Masala, G., Weiderpass, E., Chirlaque, M.-D., Vermeulen, R.C.H., Travis, R.C., Giles, G.G., Albanes, D., Virtamo, J., Weinstein, S., Clavel, J., Zheng, T., Holford, T.R., Offit, K., Zelenetz, A., Klein, R.J., Spinelli, J.J., Bertrand, K.A., Laden, F., Giovannucci, E., Kraft, P., Kricker, A., Turner, J., Vajdic, C.M., Ennas, M.G., Ferri, G.M., Miligi, L., Liang, L., Sampson, J., Crouch, S., Park, J.-H., North, K.E., Cox, A., Snowden, J.A., Wright, J., Carracedo, A., Lopez-Otin, C., Bea, S., Salaverria, I., Martin-Garcia, D., Campo, E., Jr, F.J.F., de Sanjose, S., Hjalgrim, H., Cerhan, J.R., Chanock, S.J., Rothman, N., and Slager, S.L.
Abstract: Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P = 1.22 × 10−14), 18q21.33 (BCL2, P = 7.76 × 10−11), 11p15.5 (C11orf21, P = 2.15 × 10−10), 4q25 (LEF1, P = 4.24 × 10−10), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P = 2.50 × 10−9), 9p21.3 (CDKN2B-AS1, P = 1.27 × 10−8), 18q21.32 (PMAIP1, P = 2.51 × 10−8), 15q15.1 (BMF, P = 2.71 × 10−10) and 2p22.2 (QPCT, P = 1.68 × 10−8), as well as an independent signal at an established locus (2q13, ACOXL, P = 2.08 × 10−18). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P = 5.40 × 10−8) and 5p15.33 (TERT, P = 1.92 × 10−7). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.
Published: 2013

7. A genome-wide association study of marginal zone lymphoma shows association to the HLA region

Author: Vijai, J, Wang, Z, Berndt, SI, Skibola, CF, Slager, SL, de Sanjose, S, Melbye, M, Glimelius, B, Bracci, PM, Conde, L, Birmann, BM, Wang, SS, Brooks-Wilson, AR, Lan, Q, de Bakker, PIW, Vermeulen, RCH, Portlock, C, Ansell, SM, Link, BK, Riby, J, North, KE, Gu, J, Hjalgrim, H, Cozen, W, Becker, N, Teras, LR, Spinelli, JJ, Turner, J, Zhang, Y, Purdue, MP, Giles, GG, Kelly, RS, Zeleniuch-Jacquotte, A, Ennas, MG, Monnereau, A, Bertrand, KA, Albanes, D, Lightfoot, T, Yeager, M, Chung, CC, Burdett, L, Hutchinson, A, Lawrence, C, Montalvan, R, Liang, L, Huang, J, Ma, B, Villano, DJ, Maria, A, Corines, M, Thomas, T, Novak, AJ, Dogan, A, Liebow, M, Thompson, CA, Witzig, TE, Habermann, TM, Weiner, GJ, Smith, MT, Holly, EA, Jackson, RD, Tinker, LF, Ye, Y, Adami, H-O, Smedby, KE, De Roos, AJ, Hartge, P, Morton, LM, Severson, RK, Benavente, Y, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, Mckay, J, Staines, A, Diver, WR, Vajdic, CM, Armstrong, BK, Kricker, A, Zheng, T, Holford, TR, Severi, G, Vineis, P, Ferri, GM, Ricco, R, Miligi, L, Clavel, J, Giovannucci, E, Kraft, P, Virtamo, J, Smith, A, Kane, E, Roman, E, Chiu, BCH, Fraumeni, JF, Wu, X, Cerhan, JR, Offit, K, Chanock, SJ, Rothman, N, Nieters, A, Vijai, J, Wang, Z, Berndt, SI, Skibola, CF, Slager, SL, de Sanjose, S, Melbye, M, Glimelius, B, Bracci, PM, Conde, L, Birmann, BM, Wang, SS, Brooks-Wilson, AR, Lan, Q, de Bakker, PIW, Vermeulen, RCH, Portlock, C, Ansell, SM, Link, BK, Riby, J, North, KE, Gu, J, Hjalgrim, H, Cozen, W, Becker, N, Teras, LR, Spinelli, JJ, Turner, J, Zhang, Y, Purdue, MP, Giles, GG, Kelly, RS, Zeleniuch-Jacquotte, A, Ennas, MG, Monnereau, A, Bertrand, KA, Albanes, D, Lightfoot, T, Yeager, M, Chung, CC, Burdett, L, Hutchinson, A, Lawrence, C, Montalvan, R, Liang, L, Huang, J, Ma, B, Villano, DJ, Maria, A, Corines, M, Thomas, T, Novak, AJ, Dogan, A, Liebow, M, Thompson, CA, Witzig, TE, Habermann, TM, Weiner, GJ, Smith, MT, Holly, EA, Jackson, RD, Tinker, LF, Ye, Y, Adami, H-O, Smedby, KE, De Roos, AJ, Hartge, P, Morton, LM, Severson, RK, Benavente, Y, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, Mckay, J, Staines, A, Diver, WR, Vajdic, CM, Armstrong, BK, Kricker, A, Zheng, T, Holford, TR, Severi, G, Vineis, P, Ferri, GM, Ricco, R, Miligi, L, Clavel, J, Giovannucci, E, Kraft, P, Virtamo, J, Smith, A, Kane, E, Roman, E, Chiu, BCH, Fraumeni, JF, Wu, X, Cerhan, JR, Offit, K, Chanock, SJ, Rothman, N, and Nieters, A
Abstract: Marginal zone lymphoma (MZL) is the third most common subtype of B-cell non-Hodgkin lymphoma. Here we perform a two-stage GWAS of 1,281 MZL cases and 7,127 controls of European ancestry and identify two independent loci near BTNL2 (rs9461741, P=3.95 × 10(-15)) and HLA-B (rs2922994, P=2.43 × 10(-9)) in the HLA region significantly associated with MZL risk. This is the first evidence that genetic variation in the major histocompatibility complex influences MZL susceptibility.
Published: 2015

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

Author: Cerhan, JR, Berndt, SI, Vijai, J, Ghesquieres, H, McKay, J, Wang, SS, Wang, Z, Yeager, M, Conde, L, de Bakker, PIW, Nieters, A, Cox, D, Burdett, L, Monnereau, A, Flowers, CR, De Roos, AJ, Brooks-Wilson, AR, Lan, Q, Severi, G, Melbye, M, Gu, J, Jackson, RD, Kane, E, Teras, LR, Purdue, MP, Vajdic, CM, Spinelli, JJ, Giles, GG, Albanes, D, Kelly, RS, Zucca, M, Bertrand, KA, Zeleniuch-Jacquotte, A, Lawrence, C, Hutchinson, A, Zhi, D, Habermann, TM, Link, BK, Novak, AJ, Dogan, A, Asmann, YW, Liebow, M, Thompson, CA, Ansell, SM, Witzig, TE, Weiner, GJ, Veron, AS, Zelenika, D, Tilly, H, Haioun, C, Molina, TJ, Hjalgrim, H, Glimelius, B, Adami, H-O, Bracci, PM, Riby, J, Smith, MT, Holly, EA, Cozen, W, Hartge, P, Morton, LM, Severson, RK, Tinker, LF, North, KE, Becker, N, Benavente, Y, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, Staines, A, Lightfoot, T, Crouch, S, Smith, A, Roman, E, Diver, WR, Offit, K, Zelenetz, A, Klein, RJ, Villano, DJ, Zheng, T, Zhang, Y, Holford, TR, Kricker, A, Turner, J, Southey, MC, Clavel, J, Virtamo, J, Weinstein, S, Riboli, E, Vineis, P, Kaaks, R, Trichopoulos, D, Vermeulen, RCH, Boeing, H, Tjonneland, A, Angelucci, E, Di Lollo, S, Rais, M, Birmann, BM, Laden, F, Giovannucci, E, Kraft, P, Huang, J, Ma, B, Ye, Y, Chiu, BCH, Sampson, J, Liang, L, Park, J-H, Chung, CC, Weisenburger, DD, Chatterjee, N, Fraumeni, JF, Slager, SL, Wu, X, de Sanjose, S, Smedby, KE, Salles, G, Skibola, CF, Rothman, N, Chanock, SJ, Cerhan, JR, Berndt, SI, Vijai, J, Ghesquieres, H, McKay, J, Wang, SS, Wang, Z, Yeager, M, Conde, L, de Bakker, PIW, Nieters, A, Cox, D, Burdett, L, Monnereau, A, Flowers, CR, De Roos, AJ, Brooks-Wilson, AR, Lan, Q, Severi, G, Melbye, M, Gu, J, Jackson, RD, Kane, E, Teras, LR, Purdue, MP, Vajdic, CM, Spinelli, JJ, Giles, GG, Albanes, D, Kelly, RS, Zucca, M, Bertrand, KA, Zeleniuch-Jacquotte, A, Lawrence, C, Hutchinson, A, Zhi, D, Habermann, TM, Link, BK, Novak, AJ, Dogan, A, Asmann, YW, Liebow, M, Thompson, CA, Ansell, SM, Witzig, TE, Weiner, GJ, Veron, AS, Zelenika, D, Tilly, H, Haioun, C, Molina, TJ, Hjalgrim, H, Glimelius, B, Adami, H-O, Bracci, PM, Riby, J, Smith, MT, Holly, EA, Cozen, W, Hartge, P, Morton, LM, Severson, RK, Tinker, LF, North, KE, Becker, N, Benavente, Y, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, Staines, A, Lightfoot, T, Crouch, S, Smith, A, Roman, E, Diver, WR, Offit, K, Zelenetz, A, Klein, RJ, Villano, DJ, Zheng, T, Zhang, Y, Holford, TR, Kricker, A, Turner, J, Southey, MC, Clavel, J, Virtamo, J, Weinstein, S, Riboli, E, Vineis, P, Kaaks, R, Trichopoulos, D, Vermeulen, RCH, Boeing, H, Tjonneland, A, Angelucci, E, Di Lollo, S, Rais, M, Birmann, BM, Laden, F, Giovannucci, E, Kraft, P, Huang, J, Ma, B, Ye, Y, Chiu, BCH, Sampson, J, Liang, L, Park, J-H, Chung, CC, Weisenburger, DD, Chatterjee, N, Fraumeni, JF, Slager, SL, Wu, X, de Sanjose, S, Smedby, KE, Salles, G, Skibola, CF, Rothman, N, and Chanock, SJ
Abstract: Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10(-21)), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10(-10)), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10(-8)) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10(-13) and 3.63 × 10(-11), respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL.
Published: 2014

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

Author: Berndt, SI, Skibola, CF, Joseph, V, Camp, NJ, Nieters, A, Wang, Z, Cozen, W, Monnereau, A, Wang, SS, Kelly, RS, Lan, Q, Teras, LR, Chatterjee, N, Chung, CC, Yeager, M, Brooks-Wilson, AR, Hartge, P, Purdue, MP, Birmann, BM, Armstrong, BK, Cocco, P, Zhang, Y, Severi, G, Zeleniuch-Jacquotte, A, Lawrence, C, Burdette, L, Yuenger, J, Hutchinson, A, Jacobs, KB, Call, TG, Shanafelt, TD, Novak, AJ, Kay, NE, Liebow, M, Wang, AH, Smedby, KE, Adami, H-O, Melbye, M, Glimelius, B, Chang, ET, Glenn, M, Curtin, K, Cannon-Albright, LA, Jones, B, Diver, WR, Link, BK, Weiner, GJ, Conde, L, Bracci, PM, Riby, J, Holly, EA, Smith, MT, Jackson, RD, Tinker, LF, Benavente, Y, Becker, N, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, McKay, J, Staines, A, Rabe, KG, Achenbach, SJ, Vachon, CM, Goldin, LR, Strom, SS, Lanasa, MC, Spector, LG, Leis, JF, Cunningham, JM, Weinberg, JB, Morrison, VA, Caporaso, NE, Norman, AD, Linet, MS, De Roos, AJ, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Kaaks, R, Trichopoulos, D, Masala, G, Weiderpass, E, Chirlaque, M-D, Vermeulen, RCH, Travis, RC, Giles, GG, Albanes, D, Virtamo, J, Weinstein, S, Clavel, J, Zheng, T, Holford, TR, Offit, K, Zelenetz, A, Klein, RJ, Spinelli, JJ, Bertrand, KA, Laden, F, Giovannucci, E, Kraft, P, Kricker, A, Turner, J, Vajdic, CM, Ennas, MG, Ferri, GM, Miligi, L, Liang, L, Sampson, J, Crouch, S, Park, J-H, North, KE, Cox, A, Snowden, JA, Wright, J, Carracedo, A, Lopez-Otin, C, Bea, S, Salaverria, I, Martin-Garcia, D, Campo, E, Fraumeni, JF, de Sanjose, S, Hjalgrim, H, Cerhan, JR, Chanock, SJ, Rothman, N, Slager, SL, Berndt, SI, Skibola, CF, Joseph, V, Camp, NJ, Nieters, A, Wang, Z, Cozen, W, Monnereau, A, Wang, SS, Kelly, RS, Lan, Q, Teras, LR, Chatterjee, N, Chung, CC, Yeager, M, Brooks-Wilson, AR, Hartge, P, Purdue, MP, Birmann, BM, Armstrong, BK, Cocco, P, Zhang, Y, Severi, G, Zeleniuch-Jacquotte, A, Lawrence, C, Burdette, L, Yuenger, J, Hutchinson, A, Jacobs, KB, Call, TG, Shanafelt, TD, Novak, AJ, Kay, NE, Liebow, M, Wang, AH, Smedby, KE, Adami, H-O, Melbye, M, Glimelius, B, Chang, ET, Glenn, M, Curtin, K, Cannon-Albright, LA, Jones, B, Diver, WR, Link, BK, Weiner, GJ, Conde, L, Bracci, PM, Riby, J, Holly, EA, Smith, MT, Jackson, RD, Tinker, LF, Benavente, Y, Becker, N, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, McKay, J, Staines, A, Rabe, KG, Achenbach, SJ, Vachon, CM, Goldin, LR, Strom, SS, Lanasa, MC, Spector, LG, Leis, JF, Cunningham, JM, Weinberg, JB, Morrison, VA, Caporaso, NE, Norman, AD, Linet, MS, De Roos, AJ, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Kaaks, R, Trichopoulos, D, Masala, G, Weiderpass, E, Chirlaque, M-D, Vermeulen, RCH, Travis, RC, Giles, GG, Albanes, D, Virtamo, J, Weinstein, S, Clavel, J, Zheng, T, Holford, TR, Offit, K, Zelenetz, A, Klein, RJ, Spinelli, JJ, Bertrand, KA, Laden, F, Giovannucci, E, Kraft, P, Kricker, A, Turner, J, Vajdic, CM, Ennas, MG, Ferri, GM, Miligi, L, Liang, L, Sampson, J, Crouch, S, Park, J-H, North, KE, Cox, A, Snowden, JA, Wright, J, Carracedo, A, Lopez-Otin, C, Bea, S, Salaverria, I, Martin-Garcia, D, Campo, E, Fraumeni, JF, de Sanjose, S, Hjalgrim, H, Cerhan, JR, Chanock, SJ, Rothman, N, and Slager, SL
Abstract: Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P=1.22×10(-14)), 18q21.33 (BCL2, P=7.76×10(-11)), 11p15.5 (C11orf21, P=2.15×10(-10)), 4q25 (LEF1, P=4.24×10(-10)), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P=2.50×10(-9)), 9p21.3 (CDKN2B-AS1, P=1.27×10(-8)), 18q21.32 (PMAIP1, P=2.51×10(-8)), 15q15.1 (BMF, P=2.71×10(-10)) and 2p22.2 (QPCT, P=1.68×10(-8)), as well as an independent signal at an established locus (2q13, ACOXL, P=2.08×10(-18)). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P=5.40×10(-8)) and 5p15.33 (TERT, P=1.92×10(-7)). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.
Published: 2013

10. Follicular lymphoma-protective HLA class II variants correlate with increased HLA-DQB1 protein expression

Author: Sillé, F C M, primary, Conde, L, additional, Zhang, J, additional, Akers, N K, additional, Sanchez, S, additional, Maltbaek, J, additional, Riby, J E, additional, Smith, M T, additional, and Skibola, C F, additional
Published: 2013
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11. The effect of exercise on fructose absorption

Author: Fujisawa, T, primary, Mulligan, K, additional, Wada, L, additional, Schumacher, L, additional, Riby, J, additional, and Kretchmer, N, additional
Published: 1993
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12. Participation of pancreatic enzymes in the degradation of intestinal sucrase-isomaltase.

Author: Riby, Jacques E., Kretchmer, Norman, Riby, J E, and Kretchmer, N
Published: 1985

13. Ligand-independent activation of estrogen receptor function by 3,3prime-diindolylmethane in human breast cancer cells

Author: Riby, J. E., Chang, G. H., Firestone, G. L., and Bjeldanes, L. F.
Published: 2000
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14. Cytostatic and antiestrogenic effects of 2-(indol-3-ylmethyl)-3,3'-diindolylmethane, a major in vivo product of dietary indole-3-carbinol - Detection in vivo and enzyme induction in vitro

Author: Chang, Y.-C., Riby, J., Chang, G.H.-F., Peng, B., Firestone, G., and Bjeldanes, L.F.
Published: 1999
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15. Regulation of CYP1A1 by indolo[3,2-b]carbazole in murine hepatoma cells.

Author: Chen, Y H, Riby, J, Srivastava, P, Bartholomew, J, Denison, M, and Bjeldanes, L
Abstract: To determine the basis for unexpected differences in CYP1A1 inducing potencies and efficacies for the diet-derived indole derivative, indolo[3,2-b]carbazole (ICZ) and 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), we conducted a systematic analysis of events involved in the induced expression of CYP1A1 in murine hepatoma-derived cell lines (Hepa-1). In contrast to the effects of TCDD, induction kinetics and CYP1A1 mRNA half-life were dependent on ICZ concentration, and the response from low doses of inducer was transient due to rapid clearance of ICZ. TCDD and ICZ produced the same maximum response (i.e. equal efficacies) from a TCDD-responsive CAT reporter construct in Hepa-1 cells. When measured by the immediate responses associated with CYP1A1 expression, including cellular uptake of inducer, receptor transformation and binding to DRE (gel mobility shift assay), initiation of transcription (nuclear run-on assay), and short-term accumulation of mRNA (Northern blot assay), ICZ also exhibited an efficacy equal to that of TCDD and a potency that corresponds to its receptor affinity. ICZ is a potent and selective noncompetitive inhibitor of ethoxyresorufin O-deethylase activity (Ki = 1.5 nM). Taken together these results indicate that ICZ is a bifunctional modulator of CYP1A1 expression with intrinsic efficacy equal to that of TCDD.
Published: 1995

16. DESIGN CONDITIONS FOR COASTAL WORKS- PRACTICAL EXPERIENCE OF COASTAL RISK ASSESSMENTS.

Author: MAFF and RIBY, J
Abstract: Design conditions for coastal works practical experience of coastal risk assessments J. Riby, BSc(Hons), CEng, MICE, MIHT, MInstMgt & Proc. Instn Civ. Engrs Mun. Engr, 1998, 127, June, 49 55 Paper 11510 Written discussion closes 15 November 1998 The 1993 Holbeck landslide in Scarborough heightened awareness of potential cli instability problems in coastal areas and the level of risk such events might pose to existing coastal defences and property elsewhere. In this context it is important to understand the inextricable relationship between sea walls and coastal slope instability in that without the toe protection and loading aorded by the defences there would be serious implications for clitop properties in both the South and North Bays...
Published: 1998
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17. Effect of dietary sucrose on synthesis and degradation of intestinal sucrase

Author: Riby, J. E., primary and Kretchmer, N., additional
Published: 1984
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18. Lupus-related single nucleotide polymorphisms and risk of diffuse large B-cell lymphoma

Author: Mariagrazia Zucca, Thomas M. Habermann, Lauren R. Teras, Joseph Vijai, Lenka Foretova, Simon Crouch, Anneclaire J. De Roos, Jacqueline Clavel, Lindsay M. Morton, Melissa C. Southey, W. Ryan Diver, Patrick M. Gaffney, James McKay, Eve Roman, Sophia S. Wang, Mark P. Purdue, Hans-Olov Adami, Gilles Salles, Jarmo Virtamo, Yan W. Asmann, Angela Brooks-Wilson, Thierry Jo Molina, Andrew D. Zelenetz, Ahmet Dogan, Kenneth Offit, Peter Kraft, Gianluca Severi, Zhaoming Wang, Tongzhang Zheng, Sonja I. Berndt, Brian K. Link, Sasha Bernatsky, Theodore R. Holford, Emanuele Angelucci, Paige M. Bracci, Martyn T. Smith, Stephen J. Chanock, Brenda M. Birmann, Hervé Ghesquières, Stephen M. Ansell, Paolo Vineis, Mads Melbye, Kari E. North, Jenny Turner, Jacques Riby, Charles E. Lawrence, Alain Monnereau, Nikolaus Becker, Lucia Conde, James R. Cerhan, Susan L. Slager, Demetrius Albanes, Henrik Hjalgrim, Hervé Tilly, Héctor A. Velásquez García, Rebecca D. Jackson, Ann E. Clarke, Elizabeth A. Holly, Robert J. Klein, Paolo Boffetta, Mark Liebow, Karin E. Smedby, Marco Rais, David G. Cox, Patricia Hartge, Rosalind Ramsey-Goldman, Rachel S. Kelly, Lesley F. Tinker, Christine F. Skibola, Wendy Cozen, Tracy Lightfoot, Anne J. Novak, Heiner Boeing, Roel Vermeulen, Claire M. Vajdic, Bengt Glimelius, Kimberly A. Bertrand, Marc Maynadie, Eleanor Kane, Nathaniel Rothman, Yolanda Benavente, Paul Brennan, Anne Tjønneland, John J. Spinelli, Qing Lan, Anne Kricker, Alex Smith, Anthony Staines, Graham G. Giles, Carrie A. Thompson, Thomas E. Witzig, Stephanie J. Weinstein, Karen H. Cotenbader, Corinne Haioun, Anne Zeleniuch-Jacquotte, Simonetta Di Lollo, Alexandra Nieters, Rudolph Kaaks, Silvia de Sanjosé, Richard K. Severson, Yawei Zhang, Research Institute of the McGill University Health Centre, 1650 Cedar Avenue, Oklahoma Medical Research Foundation, Registre des hémopathies malignes de Côte d'Or, Centre d'épidémiologie des populations ( CEP ), Université de Bourgogne ( UB ) -Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Université Bourgogne Franche-Comté ( UBFC ), CHU Dijon, Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand ( CHU Dijon ), University of Calgary, Bernatsky, S. and García, H.A.V. and Spinelli, J.J. and Gaffney, P. and Smedby, K.E. and Ramsey-Goldman, R. and Wang, S.S. and Adami, H.-O. and Albanes, D. and Angelucci, E. and Ansell, S.M. and WAsmann, Y. and Becker, N. and Benavente, Y. and Berndt, S.I. and Bertrand, K.A. and Birmann, B.M. and Boeing, H. and Boffetta, P. and Bracci, P.M. and Brennan, P. and Brooks-Wilson, A.R. and Cerhan, J.R. and Chanock, S.J. and Clavel, J. and Conde, L. and Cotenbader, K.H. and Cox, D.G. and Cozen, W. and Crouch, S. and De Roos, A.J. and De Sanjose, S. and Di Lollo, S. and Diver, W.R. and Dogan, A. and Foretova, L. and Ghesquières, H. and Giles, G.G. and Glimelius, B. and Habermann, T.M. and Haioun, C. and Hartge, P. and Hjalgrim, H. and Holford, T.R. and Holly, E.A. and Jackson, R.D. and Kaaks, R. and Kane, E. and Kelly, R.S. and Klein, R.J. and Kraft, P. and Kricker, A. and Lan, Q. and Lawrence, C. and Liebow, M. and Lightfoot, T. and Link, B.K. and Maynadie, M. and McKay, J. and Melbye, M. and Molina, T.J. and Monnereau, A. and Morton, L.M. and Nieters, A. and North, K.E. and Novak, A.J. and Offit, K. and Purdue, M.P. and Rais, M. and Riby, J. and Roman, E. and Rothman, N. and Salles, G. and Severi, G. and Severson, R.K. and Skibola, C.F. and Slager, S.L. and Smith, A. and Smith, M.T. and Southey, M.C. and Staines, A. and Teras, L.R. and Thompson, C.A. and Tilly, H. and Tinker, L.F. and Tjonneland, A. and Turner, J. and Vajdic, C.M. and Vermeulen, R.C.H. and Vijai, J. and Vineis, P. and Virtamo, J. and Wang, Z. and Weinstein, S. and Witzig, T.E. and Zelenetz, A. and Zeleniuch-Jacquotte, A. and Zhang, Y. and Zheng, T. and Zucca, M. and Clarke, A.E., McGill University Health Center [Montreal] (MUHC), Oklahoma Medical Research Foundation (OMRF), Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-2, and dIRAS RA-I&I RA
Subjects: Oncology, medicine.medical_specialty, Immunology, Single-nucleotide polymorphism, Genome-wide association study, [SDV.CAN]Life Sciences [q-bio]/Cancer, lymphoma, Human leukocyte antigen, Bioinformatics, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, 03 medical and health sciences, 0302 clinical medicine, immune system diseases, Internal medicine, medicine, SNP, 030203 arthritis & rheumatology, Systemic lupus erythematosus, business.industry, General Medicine, medicine.disease, Systemic lupus, Lupus Nephritis, Risk of diffuse large B-cell lymphoma, 3. Good health, Lymphoma, 030220 oncology & carcinogenesis, business, Diffuse large B-cell lymphoma, IRF5, malignancy
Abstract: Objective: Determinants of the increased risk of diffuse large B-cell lymphoma (DLBCL) in SLE are unclear. Using data from a recent lymphoma genomewide association study (GWAS), we assessed whether certain lupus-related single nucleotide polymorphisms (SNPs) were also associated with DLBCL. Methods: GWAS data on European Caucasians from the International Lymphoma Epidemiology Consortium (InterLymph) provided a total of 3857 DLBCL cases and 7666 general-population controls. Data were pooled in a random-effects meta-analysis. Results: Among the 28 SLE-related SNPs investigated, the two most convincingly associated with risk of DLBCL included the CD40 SLE risk allele rs4810485 on chromosome 20q13 (OR per risk allele=1.09, 95% CI 1.02 to 1.16, p=0.0134), and the HLA SLE risk allele rs1270942 on chromosome 6p21.33 (OR per risk allele=1.17, 95% CI 1.01 to 1.36, p=0.0362). Of additional possible interest were rs2205960 and rs12537284. The rs2205960 SNP, related to a cytokine of the tumour necrosis factor superfamily TNFSF4, was associated with an OR per risk allele of 1.07, 95% CI 1.00 to 1.16, p=0.0549. The OR for the rs12537284 (chromosome 7q32, IRF5 gene) risk allele was 1.08, 95% CI 0.99 to 1.18, p=0.0765. Conclusions: These data suggest several plausible genetic links between DLBCL and SLE. © 2017 BMJ Publishing Group. All rights reserved.
Published: 2017
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19. Genome-wide association study identifies five susceptibility loci for follicular lymphoma outside the HLA region

Author: Joseph Vijai, W. Ryan Diver, Degui Zhi, Brenda M. Birmann, Henrik Hjalgrim, Bruce K. Armstrong, Gianluca Severi, Pierluigi Cocco, Joseph F. Fraumeni, Xifeng Wu, Graham G. Giles, Eleanor Kane, Herve Ghesquieres, Eve Roman, Edward Giovannucci, Mads Melbye, Rudolph Kaaks, Lindsay M. Morton, Nicholas K. Akers, Elizabeth A. Holly, Liming Liang, Patrizio Mazza, Kari E. North, John J. Spinelli, Carrie A. Thompson, Bodil Ohlsson, Yuanqing Ye, Anneclaire J. De Roos, Stephen J. Chanock, Theodore R. Holford, Paul Brennan, Jianjun Liu, Roel Vermeulen, Thomas E. Witzig, Angela Brooks-Wilson, Mark P. Purdue, Ahmet Dogan, Gilles Salles, Kenneth Offit, Lucia Conde, Laurie Burdett, George J. Weiner, Anne Kricker, James McKay, Peter Kraft, Sonja I. Berndt, Attilio Gabbas, Rebecca Montalvan, Rebecca D. Jackson, Baoshan Ma, Zhaoming Wang, Patricia Hartge, Danylo J. Villano, Marc Maynadie, Mortimer J. Lacher, Lauren R. Teras, Susan L. Slager, Lenka Foretova, Rachel S. Kelly, Martha S. Linet, Brian K. Link, Jarmo Virtamo, Charles C. Chung, Anne Zeleniuch-Jacquotte, Martyn T. Smith, Tracy Lightfoot, Jacques Riby, Paolo Boffetta, Meredith Yeager, Brian C.-H. Chiu, Grzegorz S. Nowakowski, Yolanda Benavente, Bengt Glimelius, Mark Liebow, Saioa Chamosa, Charles E. Lawrence, Karin E. Smedby, Nikolaus Becker, Thomas M. Habermann, Jacqueline Clavel, Qing Lan, Alexandra Nieters, Maryjean Schenk, Sophia S. Wang, Demetrius Albanes, Lesley F. Tinker, Alex Smith, Anthony Staines, Amy Hutchinson, Wendy Cozen, Hans-Olov Adami, Anne J. Novak, Christine F. Skibola, Ann Maria, Elisabete Weiderpass, Kimberly A. Bertrand, James R. Cerhan, Maria Grazia Ennas, Claire M. Vajdic, Jinyan Huang, Paul I.W. de Bakker, Paige M. Bracci, Tongzhang Zheng, Ruth C. Travis, Paolo Vineis, Jia Nee Foo, Jennifer Turner, Alain Monnereau, Silvia de Sanjosé, Nathaniel Rothman, Yawei Zhang, Jian Gu, Skibola, C.F., Berndt, S.I., Vijai, J., Conde, L., Wang, Z., Yeager, M., De Bakker, P.I.W., Birmann, B.M., Vajdic, C.M., Foo, J.-N., Bracci, P.M., Vermeulen, R.C.H., Slager, S.L., De Sanjose, S., Wang, S.S., Linet, M.S., Salles, G., Lan, Q., Severi, G., Hjalgrim, H., Lightfoot, T., Melbye, M., Gu, J., Ghesquières, H., Link, B.K., Morton, L.M., Holly, E.A., Smith, A., Tinker, L.F., Teras, L.R., Kricker, A., Becker, N., Purdue, M.P., Spinelli, J.J., Zhang, Y., Giles, G.G., Vineis, P., Monnereau, A., Bertrand, K.A., Albanes, D., Zeleniuch-Jacquotte, A., Gabbas, A., Chung, C.C., Burdett, L., Hutchinson, A., Lawrence, C., Montalvan, R., Liang, L., Huang, J., Ma, B., Liu, J., Adami, H.-O., Glimelius, B., Ye, Y., Nowakowski, G.S., Dogan, A., Thompson, C.A., Habermann, T.M., Novak, A.J., Liebow, M., Witzig, T.E., Weiner, G.J., Schenk, M., Hartge, P., De Roos, A.J., Cozen, W., Zhi, D., Akers, N.K., Riby, J., Smith, M.T., Lacher, M., Villano, D.J., Maria, A., Roman, E., Kane, E., Jackson, R.D., North, K.E., Diver, W.R., Turner, J., Armstrong, B.K., Benavente, Y., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Staines, A., McKay, J., Brooks-Wilson, A.R., Zheng, T., Holford, T.R., Chamosa, S., Kaaks, R., Kelly, R.S., Ohlsson, B., Travis, R.C., Weiderpass, E., Clavel, J., Giovannucci, E., Kraft, P., Virtamo, J., Mazza, P., Cocco, P., Ennas, M.G., Chiu, B.C.H., Fraumeni, J.F., Jr., Nieters, A., Offit, K., Wu, X., Cerhan, J.R., Smedby, K.E., Chanock, S.J., and Rothman, N.
Subjects: EXPRESSION, Follicular lymphoma, Single-nucleotide polymorphism, Genome-wide association study, Human leukocyte antigen, Biology, VARIANTS, Polymorphism, Single Nucleotide, follicular lymphoma, HLA Antigens, Polymorphism (computer science), Report, CLASS-I, RESOURCE, Biomarkers, Tumor, Genetics, medicine, Chromosomes, Human, Humans, TOOL, Genetic Predisposition to Disease, Genetics(clinical), PEPTIDE, Allele, Lymphoma, Follicular, Alleles, Genetics (clinical), Genetic association, SNPS, RISK, Genome-wide association, Haplotype, medicine.disease, HLA, Haplotypes, Case-Control Studies, UNIVERSITY, SET, Genome-Wide Association Study
Abstract: Genome-wide association studies (GWASs) of follicular lymphoma (FL) have previously identified human leukocyte antigen (HLA) gene variants. To identify additional FL susceptibility loci, we conducted a large-scale two-stage GWAS in 4,523 case subjects and 13,344 control subjects of European ancestry. Five non-HLA loci were associated with FL risk: 11q23.3 (rs4938573, p = 5.79 × 10 -20) near CXCR5; 11q24.3 (rs4937362, p = 6.76 × 10 -11) near ETS1; 3q28 (rs6444305, p = 1.10 × 10 -10) in LPP; 18q21.33 (rs17749561, p = 8.28 × 10 -10) near BCL2; and 8q24.21 (rs13254990, p = 1.06 × 10 -8) near PVT1. In an analysis of the HLA region, we identified four linked HLA-DRß1 multiallelic amino acids at positions 11, 13, 28, and 30 that were associated with FL risk (pomnibus = 4.20 × 10 -67 to 2.67 × 10 -70). Additional independent signals included rs17203612 in HLA class II (odds ratio [ORper-allele] = 1.44; p = 4.59 × 10 -16) and rs3130437 in HLA class I (ORper-allele = 1.23; p = 8.23 × 10 -9). Our findings further expand the number of loci associated with FL and provide evidence that multiple common variants outside the HLA region make a significant contribution to FL risk. © 2014 by The American Society of Human Genetics. All rights reserved.
Published: 2016

20. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes

Author: Henrik Hjalgrim, Joseph Vijai, Bengt Glimelius, Kimberly A. Bertrand, Immaculata De Vivo, Eve Roman, Martha Glenn, Nathaniel Rothman, Yolanda Benavente, Zhaoming Wang, Ju-Hyun Park, Anneclaire J. De Roos, John J. Spinelli, Demetrius Albanes, Paul Brennan, Emanuele Angelucci, Mariagrazia Zucca, Qing Lan, Kari E. North, Paige M. Bracci, Mark P. Purdue, Marco Rais, Melissa C. Southey, Alain Monnereau, Ahmet Dogan, Graham G. Giles, Robert J. Klein, Peter Kraft, Lesley F. Tinker, Laurie Burdett, Lucia Conde, Carrie A. Thompson, James McKay, Martyn T. Smith, Göran Roos, Yan W. Asmann, Dennis D. Weisenburger, Elizabeth A. Holly, Thomas E. Witzig, Liming Liang, Paul I.W. de Bakker, Alex Smith, Jarmo Virtamo, Charles E. Lawrence, Patricia Hartge, Karen Curtin, Anthony Staines, Nikolaus Becker, Nicola J. Camp, Charles C. Chung, Degui Zhi, Brenda M. Birmann, W. Ryan Diver, Roel Vermeulen, Sonja I. Berndt, Tongzhang Zheng, Silvia de Sanjosé, Eleanor Kane, James R. Cerhan, Christopher R. Flowers, Joseph F. Fraumeni, Stephen J. Chanock, Stephen M. Ansell, Angela Brooks-Wilson, Kenneth Offit, Jinyan Huang, Mads Melbye, Edward Giovannucci, Baoshan Ma, Tracy Lightfoot, Brian K. Link, Richard K. Severson, Theodore R. Holford, Yawei Zhang, Anne Tjønneland, Meredith Yeager, Wendy Cozen, Anne J. Novak, Lauren R. Teras, Claire M. Vajdic, Lisa A. Cannon-Albright, Lenka Foretova, Christine F. Skibola, Sophia S. Wang, Hans-Olov Adami, Andrew D. Zelenetz, Jenny Turner, Paolo Vineis, Corinne Haioun, Hervé Tilly, Anne Zeleniuch-Jacquotte, Thomas M. Habermann, Paolo Boffetta, Jacqueline Clavel, Herve Ghesquieres, Stephanie J. Weinstein, Lindsay M. Morton, Susan L. Slager, Simon Crouch, Gilles Salles, Rachel S. Kelly, Karin E. Smedby, Amy Hutchinson, David G. Cox, Elio Riboli, Jacques Riby, Rebecca D. Jackson, Mark Liebow, Thierry Jo Molina, Danylo J. Villano, Marc Maynadie, Yuanqing Ye, Heiner Boeing, Jian Gu, Brian C.-H. Chiu, Simonetta Di Lollo, Mitchell J. Machiela, Alexandra Nieters, Xifeng Wu, Rudolph Kaaks, Machiela, M.J., Lan, Q., Slager, S.L., Vermeulen, R.C.H., Teras, L.R., Camp, N.J., Cerhan, J.R., Spinelli, J.J., Wang, S.S., Nieters, A., Vijai, J., Yeager, M., Wang, Z., Ghesquières, H., McKay, J., Conde, L., de Bakker, P.I.W., Cox, D.G., Burdett, L., Monnereau, A., Flowers, C.R., De Roos, A.J., Brooks-Wilson, A.R., Giles, G.G., Melbye, M., Gu, J., Jackson, R.D., Kane, E., Purdue, M.P., Vajdic, C.M., Albanes, D., Kelly, R.S., Zucca, M., Bertrand, K.A., Zeleniuch-Jacquotte, A., Lawrence, C., Hutchinson, A., Zhi, D., Habermann, T.M., Link, B.K., Novak, A.J., Dogan, A., Asmann, Y.W., Liebow, M., Thompson, C.A., Ansell, S.M., Witzig, T.E., Tilly, H., Haioun, C., Molina, T.J., Hjalgrim, H., Glimelius, B., Adami, H.-O., Roos, G., Bracci, P.M., Riby, J., Smith, M.T., Holly, E.A., Cozen, W., Hartge, P., Morton, L.M., Severson, R.K., Tinker, L.F., North, K.E., Becker, N., Benavente, Y., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Staines, A., Lightfoot, T., Crouch, S., Smith, A., Roman, E., Ryan Diver, W., Offit, K., Zelenetz, A., Klein, R.J., Villano, D.J., Zheng, T., Zhang, Y., Holford, T.R., Turner, J., Southey, M.C., Clavel, J., Virtamo, J., Weinstein, S., Riboli, E., Vineis, P., Kaaks, R., Boeing, H., Tjønneland, A., Angelucci, E., Di Lollo, S., Rais, M., De Vivo, I., Giovannucci, E., Kraft, P., Huang, J., Ma, B., Ye, Y., Chiu, B.C.H., Liang, L., Park, J.-H., Chung, C.C., Weisenburger, D.D., Fraumeni, J.F., Jr and Salles, G., Glenn, M., Cannon-Albright, L., Curtin, K., Wu, X., Smedby, K.E., de Sanjose, S., Skibola, C.F., Berndt, S.I., Birmann, B.M., Chanock, S.J., Rothman, N., LS IRAS EEPI GRA (Gezh.risico-analyse), Sub Atmospheric physics and chemistry, dIRAS RA-I&I RA, dIRAS RA-2, Service d’Hématologie [Centre Hospitalier Lyon Sud - HCL], Centre Hospitalier Lyon Sud [CHU - HCL] ( CHLS ), Hospices Civils de Lyon ( HCL ) -Hospices Civils de Lyon ( HCL ), Centre de Recherche en Cancérologie de Lyon ( CRCL ), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Cancer environnement ( EPICENE ), Bordeaux population health ( BPH ), Université de Bordeaux ( UB ) -Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Bordeaux ( UB ) -Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Registre des hémopathies malignes de la Gironde, Institut Bergonié - CRLCC Bordeaux, Department of Agronomy, University of Wisconsin-Madison [Madison], Service hématologie Poitiers, CHU, Service d'hématologie clinique, Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), Université Paris Descartes - Paris 5 ( UPD5 ), Oslo and Akershus University College ( OAUC ), Laboratoire de mécanique Biomécanique Polymère Structures ( LaBPS ), Université de Lorraine ( UL ), The Tisch Cancer Institute, Mount Sinai School of Medicine, International Agency for Cancer Research ( IACR ), International Agency for Cancer Research, Registre des hémopathies malignes de Côte d'Or, Centre d'épidémiologie des populations ( CEP ), Université de Bourgogne ( UB ) -Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), University of Chicago Medicine, Institut National de la Santé et de la Recherche Médicale ( INSERM ), French National Registry of Childhood Hematological malignancies (NRCH), NRCH, Division of Epidemiology, Public Health and Primary Care, Imperial College London, Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Department of Epidemiology and Public Health, Department Cancer Epidemiology, German Cancer Research Center, Institute of Human Nutrition Potsdam-Rehbruecke, Diet, Cancer and Health, Danish Cancer Society, Justus Liebig University Giessen, Sino French Research Center for Biomedical Imaging ( HIT-INSA ), Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Harbin Institute of Technology ( HIT ), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Chinese Academy of Sciences [Beijing] ( CAS ), Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Cancer environnement (EPICENE ), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Bergonié [Bordeaux], UNICANCER-UNICANCER, University of Wisconsin-Madison, Centre hospitalier universitaire de Poitiers (CHU Poitiers), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Université Paris Descartes - Paris 5 (UPD5), Akershus University College, Laboratoire de mécanique Biomécanique Polymère Structures (LaBPS), Université de Lorraine (UL), Icahn School of Medicine at Mount Sinai [New York] (MSSM), International Agency for Cancer Research (IACR), Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), Institut National de la Santé et de la Recherche Médicale (INSERM), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DifE), Leibniz Association, Justus-Liebig-Universität Gießen (JLU), Sino French Research Center for Biomedical Imaging (HIT-INSA), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Harbin Institute of Technology (HIT), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Chinese Academy of Sciences [Beijing] (CAS), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Università degli studi di Torino = University of Turin (UNITO), Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Harbin Institute of Technology (HIT), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Cancérologie de Lyon (CRCL), Université de Lyon-Université de Lyon-Centre Léon Bérard [Lyon]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Oslo and Akershus University College (OAUC), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc (CRLCC - CGFL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL)
Subjects: 0301 basic medicine, Serum, Male, Lymphoma, analysis, Chronic lymphocytic leukemia, Follicular lymphoma, Global Health, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, immunology, surgery, 0302 clinical medicine, Endocrinology, immune system diseases, single nucleotide polymorphism, Germany, hemic and lymphatic diseases, London, 80 and over, Odds Ratio, genetics, Prospective Studies, B-cell lymphoma, Association Studies Article, Genetics (clinical), Aged, 80 and over, education.field_of_study, telomere, Genome, Leukemia, Age Factors, General Medicine, Environmental exposure, Genomics, Middle Aged, b-cell lymphoma, small cell lymphoma, Italy, 030220 oncology & carcinogenesis, Medicine, epidemiology, Female, France, Risk of B-cell lymphoma subtypes, Risk, Adult, Canada, China, Lymphoma, B-Cell, Genotype, Adolescent, leukocytes, etiology, Population, [SDV.CAN]Life Sciences [q-bio]/Cancer, Biology, Environment, Risk Assessment, methods, Time, 03 medical and health sciences, medicine, Humans, Family, Genetic Predisposition to Disease, education, Molecular Biology, Alleles, Occupational Health, Genetic Association Studies, Aged, B-Cell, International Agencies, Odds ratio, Environmental Exposure, medicine.disease, Telomere, Non-Hodgkin's lymphoma, 030104 developmental biology, Immunology, physiology, Chronic Disease, pathology, Laboratories, metabolism
Abstract: International audience; Evidence from a small number of studies suggests that longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk in a study of 10 102 NHL cases of the four most common B-cell histologic types and 9562 controls using a genetic risk score (GRS) comprising nine telomere length-associated single-nucleotide polymorphisms. This approach uses existing genotype data and estimates telomere length by weighing the number of telomere length-associated variant alleles an individual carries with the published change in kb of telomere length. The analysis of the telomere length GRS resulted in an association between longer telomere length and increased NHL risk [four B-cell histologic types combined; odds ratio (OR) = 1.49, 95% CI 1.22-1.82,P-value = 8.5 x 10(-5)]. Subtype-specific analyses indicated that chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL) was the principal NHL subtype contributing to this association (OR = 2.60, 95% CI 1.93-3.51,P-value = 4.0 x 10(-10)). Significant interactions were observed across strata of sex for CLL/SLL and marginal zone lymphoma subtypes as well as age for the follicular lymphoma subtype. Our results indicate that a genetic background that favors longer telomere length may increase NHL risk, particularly risk of CLL/SLL, and are consistent with earlier studies relating longer telomere length with increased NHL risk
Published: 2016
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21. PRRC2A and BCL2L11 gene variants influence risk of non-Hodgkin lymphoma: results from the InterLymph consortium

Author: Danica R. Skibola, Lenka Foretova, Lindsay M. Morton, James R. Cerhan, Sophia S. Wang, John J. Spinelli, Eran Halperin, Stephen J. Chanock, Stephen M. Ansell, Paul Brennan, Luz Agana, Mark P. Purdue, Alexandra Nieters, Anne Kricker, Alice H. Wang, Marc Maynadié, Silvia de Sanjosé, Paige M. Bracci, Lucia Conde, Katja Butterbach, Richard K. Severson, Yawei Zhang, Jacques Riby, Anneclaire J. De Roos, Christine F. Skibola, Patricia Hartge, Wendy Cozen, Anne J. Novak, Claire M. Vajdic, Qing Lan, Susan L. Slager, Nathaniel Rothman, Yolanda Benavente, Nikolaus Becker, Anthony Staines, Pierluigi Cocco, Tait D. Shanafelt, Andrew E. Grulich, Bruce K. Armstrong, Tongzhang Zheng, Paolo Boffetta, Martyn T. Smith, Angela Brooks-Wilson, Nieters, A., Conde, L., Slager, S.L., Brooks-Wilson, A., Morton, L., Skibola, D.R., Novak, A.J., Riby, J., Ansell, S.M., Halperin, E., Shanafelt, T.D., Agana, L., Wang, A.H., De Roos, A.J., Severson, R.K., Cozen, W., Spinelli, J., Butterbach, K., Becker, N., De Sanjose, S., Benavente, Y., Cocco, P., Staines, A., Maynadié, M., Foretova, L., Boffetta, P., Brennan, P., Lan, Q., Zhang, Y., Zheng, T., Purdue, M., Armstrong, B., Kricker, A., Vajdic, C.M., Grulich, A., Smith, M.T., Bracci, P.M., Chanock, S.J., Hartge, P., Cerhan, J.R., Wang, S.S., Rothman, N., and Skibola, C.F.
Subjects: Male, Genotype, Immunology, Follicular lymphoma, Single-nucleotide polymorphism, Genome-wide association study, Human leukocyte antigen, Biology, Polymorphism, Single Nucleotide, Biochemistry, PRRC2A, 03 medical and health sciences, 0302 clinical medicine, Gene Frequency, Meta-Analysis as Topic, Risk Factors, immune system diseases, Proto-Oncogene Proteins, hemic and lymphatic diseases, Odds Ratio, medicine, Humans, Genetic Predisposition to Disease, Genotyping, Non-Hodgkin lymphoma, InterLymph consortium, 030304 developmental biology, 0303 health sciences, Lymphoid Neoplasia, Bcl-2-Like Protein 11, Lymphoma, Non-Hodgkin, Case-control study, Membrane Proteins, Proteins, Cell Biology, Hematology, Odds ratio, medicine.disease, 3. Good health, Lymphoma, BCL2L11, Case-Control Studies, 030220 oncology & carcinogenesis, Female, Apoptosis Regulatory Proteins
Abstract: Many common genetic variants have been associated with non-Hodgkin lymphoma (NHL), but individual study results are often conflicting. To confirm the role of putative risk alleles in B-cell NHL etiology, we performed a validation genotyping study of 67 candidate single nucleotide polymorphisms within InterLymph, a large international consortium of NHL case-control studies. A meta-analysis was performed on data from 5633 B-cell NHL cases and 7034 controls from 8 InterLymph studies. rs3789068 in the proapoptotic BCL2L11 gene was associated with an increased risk for B-cell NHL (odds ratio = 1.21, P random = 2.21 × 10−11), with similar risk estimates for common B-cell subtypes. PRRC2A rs3132453 in the HLA complex class III region conferred a reduced risk of B-cell NHL (odds ratio = 0.68, P random = 1.07 × 10−9) and was likewise evident for common B-cell subtypes. These results are consistent with the known biology of NHL and provide insights into shared pathogenic components, including apoptosis and immune regulation, for the major B-cell lymphoma subtypes.
Published: 2012
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22. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia

Author: Nathaniel Rothman, Yolanda Benavente, Paul Brennan, Qing Lan, Pierluigi Cocco, Simon Crouch, Anneclaire J. De Roos, Josh Wright, Christine F. Skibola, Mark P. Purdue, Elisabete Weiderpass, James R. Cerhan, Randy D. Gascoyne, Maria Grazia Ennas, Kari E. North, Zhaoming Wang, Jinyan Huang, Julie M. Cunningham, Alain Monnereau, Peter Kraft, Patricia Hartge, Edward Giovannucci, Karen Curtin, Giovanna Masala, Jacqueline Clavel, Neil E. Kay, Jacques Riby, María Dolores Chirlaque, John J. Spinelli, Delphine Casabonne, Jenny Turner, Lucia Conde, Lesley F. Tinker, Martha Glenn, Sara S. Strom, Donna K. Arnett, Rebecca Montalvan, Ju-Hyun Park, Melissa C. Southey, Ann Maria, Karin E. Smedby, Lindsay M. Morton, Marc Maynadié, Laurie Burdett, Amy Hutchinson, Bengt Glimelius, W. Ryan Diver, Elio Riboli, Sonja I. Berndt, Lisa A. Cannon-Albright, Kimberly A. Bertrand, Aaron D. Norman, Sara J. Achenbach, Celine M. Vachon, Angela Cox, Xifeng Wu, Theodore R. Holford, Neil E. Caporaso, Joseph F. Fraumeni, Roel Vermeulen, Rudolph Kaaks, Mads Melbye, Joseph Vijai, Kari G. Chaffee, Lauren R. Teras, Rebecca D. Jackson, Lenka Foretova, J. Brice Weinberg, Paige M. Bracci, Sophia S. Wang, Demetrius Albanes, Stephen J. Chanock, Wendy Cozen, Mark Liebow, Anne J. Novak, Hans-Olov Adami, George J. Weiner, Angela Brooks-Wilson, Kenneth Offit, Anne Kricker, Claire M. Vajdic, James McKay, Ellen T. Chang, Baoshan Ma, Cristine Allmer, Susan L. Slager, Brian K. Link, Elizabeth A. Holly, Anthony Staines, Liming Liang, Jarmo Virtamo, Timothy G. Call, Nicola J. Camp, Ruth C. Travis, Alexandra Nieters, Degui Zhi, Brenda M. Birmann, Tait D. Shanafelt, Rachel S. Kelly, Graham G. Giles, Nilanjan Chatterjee, John A. Snowden, Yuanqing Ye, Núria Sala, Tongzhang Zheng, Paolo Boffetta, Lynn R. Goldin, Danylo J. Villano, Jose F. Leis, Paolo Vineis, Lucia Miligi, Jian Gu, Justin M. Leach, Silvia de Sanjosé, Richard K. Severson, Yawei Zhang, Henrik Hjalgrim, Roger L. Milne, Charles E. Lawrence, Meredith Yeager, Moara Machado, Nikolaus Becker, Joseph M. Connors, Anne Zeleniuch-Jacquotte, Giovanni Maria Ferri, Stephanie J. Weinstein, LS IRAS EEPI GRA (Gezh.risico-analyse), Sub Atmospheric physics and chemistry, dIRAS RA-I&I RA, dIRAS RA-2, Berndt, S.I., Camp, N.J., Skibola, C.F., Vijai, J., Wang, Z., Gu, J., Nieters, A., Kelly, R.S., Smedby, K.E., Monnereau, A., Cozen, W., Cox, A., Wang, S.S., Lan, Q., Teras, L.R., Machado, M., Yeager, M., Brooks-Wilson, A.R., Hartge, P., Purdue, M.P., Birmann, B.M., Vajdic, C.M., Cocco, P., Zhang, Y., Giles, G.G., Zeleniuch-Jacquotte, A., Lawrence, C., Montalvan, R., Burdett, L., Hutchinson, A., Ye, Y., Call, T.G., Shanafelt, T.D., Novak, A.J., Kay, N.E., Liebow, M., Cunningham, J.M., Allmer, C., Hjalgrim, H., Adami, H.-O., Melbye, M., Glimelius, B., Chang, E.T., Glenn, M., Curtin, K., Cannon-Albright, L.A., Diver, W.R., Link, B.K., Weiner, G.J., Conde, L., Bracci, P.M., Riby, J., Arnett, D.K., Zhi, D., Leach, J.M., Holly, E.A., Jackson, R.D., Tinker, L.F., Benavente, Y., Sala, N., Casabonne, D., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., McKay, J., Staines, A., Chaffee, K.G., Achenbach, S.J., Vachon, C.M., Goldin, L.R., Strom, S.S., Leis, J.F., Weinberg, J.B., Caporaso, N.E., Norman, A.D., De Roos, A.J., Morton, L.M., Severson, R.K., Riboli, E., Vineis, P., Kaaks, R., Masala, G., Weiderpass, E., Chirlaque, M.-D., Vermeulen, R.C.H., Travis, R.C., Southey, M.C., Milne, R.L., Albanes, D., Virtamo, J., Weinstein, S., Clavel, J., Zheng, T., Holford, T.R., Villano, D.J., Maria, A., Spinelli, J.J., Gascoyne, R.D., Connors, J.M., Bertrand, K.A., Giovannucci, E., Kraft, P., Kricker, A., Turner, J., Ennas, M.G., Ferri, G.M., Miligi, L., Liang, L., Ma, B., Huang, J., Crouch, S., Park, J.-H., Chatterjee, N., North, K.E., Snowden, J.A., Wright, J., Fraumeni, J.F., Offit, K., Wu, X., De Sanjose, S., Cerhan, J.R., Chanock, S.J., Rothman, N., Slager, S.L., National Cancer Institute ( NIH ), Centre d'épidémiologie des populations ( CEP ), Université de Bourgogne ( UB ) -Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Registre des hémopathies malignes de Côte d'Or, Mayo Clinic [Rochester], National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), and UNICANCER-UNICANCER
Subjects: 0301 basic medicine, Medicin och hälsovetenskap, Chronic lymphocytic leukemia, General Physics and Astronomy, Genome-wide association study, VARIANTS, Medical and Health Sciences, Malalties hereditàries, [ SDV.MHEP.HEM ] Life Sciences [q-bio]/Human health and pathology/Hematology, Chronic, Genetics, RISK, Leukemia, Multidisciplinary, BANK1, VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801, Bcl-2-Like Protein 11, Adaptor Proteins, [SDV.MHEP.HEM]Life Sciences [q-bio]/Human health and pathology/Hematology, Single Nucleotide, Lymphocytic, 3. Good health, PRIORITIZATION, Multidisciplinary Sciences, medicine.anatomical_structure, Science & Technology - Other Topics, TRANSCRIPTION FACTOR EOMESODERMIN, Genetic disorders, EXPRESSION, SUSCEPTIBILITY LOCI, Science, European Continental Ancestry Group, FAS GENE-MUTATIONS, Locus (genetics), Biology, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, CLASSIFICATION, White People, Article, 03 medical and health sciences, Proto-Oncogene Proteins, MD Multidisciplinary, medicine, Genetic predisposition, SNP, Humans, Leucèmia limfocítica crònica, Genetic Predisposition to Disease, Polymorphism, B cell, Serpins, Genetic association, Adaptor Proteins, Signal Transducing, Science & Technology, Signal Transducing, B-Cell, Membrane Proteins, General Chemistry, medicine.disease, Leukemia, Lymphocytic, Chronic, B-Cell, 030104 developmental biology, VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801, Apoptosis Regulatory Proteins, T-Box Domain Proteins, FOLLICULAR LYMPHOMA, Genome-Wide Association Study
Abstract: Chronic lymphocytic leukemia (CLL) is a common lymphoid malignancy with strong heritability. To further understand the genetic susceptibility for CLL and identify common loci associated with risk, we conducted a meta-analysis of four genome-wide association studies (GWAS) composed of 3,100 cases and 7,667 controls with follow-up replication in 1,958 cases and 5,530 controls. Here we report three new loci at 3p24.1 (rs9880772, EOMES, P=2.55 × 10−11), 6p25.2 (rs73718779, SERPINB6, P=1.97 × 10−8) and 3q28 (rs9815073, LPP, P=3.62 × 10−8), as well as a new independent SNP at the known 2q13 locus (rs9308731, BCL2L11, P=1.00 × 10−11) in the combined analysis. We find suggestive evidence (P, Chronic lymphocytic leukemia is a highly inheritable cancer. Here the authors conduct a metaanalysis of four genome-wide association studies and identify three novel loci located near EOMES, SERPINB6 and LPP associated with risk of this disease.
Published: 2016
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23. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma

Author: Lenka Foretova, Sophia S. Wang, Hans-Olov Adami, Demetrius Albanes, Andrew D. Zelenetz, Emanuele Angelucci, Paige M. Bracci, Hervé Tilly, Hervé Ghesquières, John J. Spinelli, Kimberly A. Bertrand, Francine Laden, Rebecca D. Jackson, Wendy Cozen, Anne J. Novak, Charles C. Chung, Meredith Yeager, Brian C.-H. Chiu, Jenny Turner, Melissa C. Southey, Gianluca Severi, Simonetta Di Lollo, Lindsay M. Morton, Mark Liebow, Theodore R. Holford, Paolo Boffetta, Paul I.W. de Bakker, Joseph Vijai, Claire M. Vajdic, Anne Kricker, Mark P. Purdue, Stephanie J. Weinstein, Ahmet Dogan, Alain Monnereau, Patricia Hartge, Degui Zhi, Amy K. Hutchinson, Brenda M. Birmann, Charles Lawrence, Elizabeth A. Holly, Marco Rais, Anneclaire J. De Roos, Karin E. Smedby, Sonja I. Berndt, Stephen J. Chanock, Lucia Conde, Stephen M. Ansell, Yan W. Asmann, Yuanqing Ye, David G. Cox, Elio Riboli, Joseph F. Fraumeni, Christine F. Skibola, Christopher R. Flowers, Angela Brooks-Wilson, Amelie S. Veron, Jarmo Virtamo, Danylo J. Villano, Thierry Jo Molina, W. Ryan Diver, James D. McKay, Kenneth Offit, Eve Roman, Jinyan Huang, Xifeng Wu, Marc Maynadie, Yolanda Benavente, Baoshan Ma, Brian K. Link, Thomas E. Witzig, Mads Melbye, George J. Weiner, Zhaoming Wang, Corinne Haioun, Alex Smith, Anthony Staines, Anne Zeleniuch-Jacquotte, Martyn T. Smith, Paul Brennan, Nilanjan Chatterjee, Tracy Lightfoot, Eleanor Kane, Bengt Glimelius, Ju-Hyun Park, Robert J. Klein, Alexandra Nieters, Heiner Boeing, Mariagrazia Zucca, Nathaniel Rothman, Jacqueline Clavel, Qing Lan, Susan L. Slager, Rudolph Kaaks, Diana Zelenika, Nikolaus Becker, Henrik Hjalgrim, Rachel S. Kelly, Roel Vermeulen, Graham G. Giles, Anne Tjønneland, Carrie A. Thompson, Laurie Burdett, Richard K. Severson, Dimitrios Trichopoulos, Yawei Zhang, Kari E. North, Tongzhang Zheng, Jian Gu, Edward Giovannucci, Jacques Riby, Simon Crouch, Gilles Salles, Silvia de Sanjosé, Dennis D. Weisenburger, Thomas M. Habermann, Paolo Vineis, Lesley F. Tinker, Joshua N. Sampson, Liming Liang, Peter Kraft, James R. Cerhan, Lauren R. Teras, Cerhan, J.R., Berndt, S.I., Vijai, J., Ghesquières, H., McKay, J., Wang, S.S., Wang, Z., Yeager, M., Conde, L., De Bakker, P.I.W., Nieters, A., Cox, D., Burdett, L., Monnereau, A., Flowers, C.R., De Roos, A.J., Brooks-Wilson, A.R., Lan, Q., Severi, G., Melbye, M., Gu, J., Jackson, R.D., Kane, E., Teras, L.R., Purdue, M.P., Vajdic, C.M., Spinelli, J.J., Giles, G.G., Albanes, D., Kelly, R.S., Zucca, M., Bertrand, K.A., Zeleniuch-Jacquotte, A., Lawrence, C., Hutchinson, A., Zhi, D., Habermann, T.M., Link, B.K., Novak, A.J., Dogan, A., Asmann, Y.W., Liebow, M., Thompson, C.A., Ansell, S.M., Witzig, T.E., Weiner, G.J., Veron, A.S., Zelenika, D., Tilly, H., Haioun, C., Molina, T.J., Hjalgrim, H., Glimelius, B., Adami, H.-O., Bracci, P.M., Riby, J., Smith, M.T., Holly, E.A., Cozen, W., Hartge, P., Morton, L.M., Severson, R.K., Tinker, L.F., North, K.E., Becker, N., Benavente, Y., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Staines, A., Lightfoot, T., Crouch, S., Smith, A., Roman, E., Diver, W.R., Offit, K., Zelenetz, A., Klein, R.J., Villano, D.J., Zheng, T., Zhang, Y., Holford, T.R., Kricker, A., Turner, J., Southey, M.C., Clavel, J., Virtamo, J., Weinstein, S., Riboli, E., Vineis, P., Kaaks, R., Trichopoulos, D., Vermeulen, R.C.H., Boeing, H., Tjonneland, A., Angelucci, E., Di Lollo, S., Rais, M., Birmann, B.M., Laden, F., Giovannucci, E., Kraft, P., Huang, J., Ma, B., Ye, Y., Chiu, B.C.H., Sampson, J., Liang, L., Park, J.-H., Chung, C.C., Weisenburger, D.D., Chatterjee, N., Fraumeni, J.F., Slager, S.L., Wu, X., De Sanjose, S., Smedby, K.E., Salles, G., Skibola, C.F., Rothman, N., and Chanock, S.J.
Subjects: Limfomes, Genotype, Chronic lymphocytic leukemia, Cèl·lules B, Quantitative Trait Loci, Population, Follicular lymphoma, Genome-wide association study, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Article, White People, Genetics, Genetic predisposition, medicine, Humans, Genetic Predisposition to Disease, education, Genetic association, Likelihood Functions, education.field_of_study, B cells, Chromosome Mapping, Computational Biology, medicine.disease, Genetic Loci, large B cell lymphoma (DLBCL), Lymphomas, Lymphoma, Large B-Cell, Diffuse, Diffuse large B-cell lymphoma, Genome-Wide Association Study
Abstract: Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10 '21), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10 '10), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10 '8) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10 '13 and 3.63 × 10 '11, respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL. © 2014 Nature America, Inc. All rights reserved.
Published: 2014

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

Author: Roel Vermeulen, Robert J. Klein, Lindsay M. Morton, Lauren R. Teras, John A. Snowden, Angela Brooks-Wilson, Sonja I. Berndt, Pierluigi Cocco, Wendy Cozen, Rebecca D. Jackson, Lenka Foretova, Henrik Hjalgrim, Bruce K. Armstrong, Neil E. Caporaso, Mark P. Purdue, Itziar Salaverria, Anne J. Novak, Elizabeth A. Holly, Anneclaire J. De Roos, Kenneth Offit, Liming Liang, Paolo Vineis, Stephen J. Chanock, Anne Kricker, Sophia S. Wang, Vicki A. Morrison, George J. Weiner, Lesley F. Tinker, Nilanjan Chatterjee, Hans-Olov Adami, Ellen T. Chang, Mark Liebow, Mark C. Lanasa, Lisa A. Cannon-Albright, Andrew D. Zelenetz, Claire M. Vajdic, Sara J. Achenbach, James McKay, Gianluca Severi, Kari E. North, Edward Giovannucci, Rudolf Kaaks, Angela Cox, Karin E. Smedby, Susan L. Slager, Aaron D. Norman, Brian K. Link, Charles E. Lawrence, Amy Hutchinson, Jarmo Virtamo, Kari G. Rabe, Theodore R. Holford, Joshua N. Sampson, Lucia Conde, Timothy G. Call, Alice H. Wang, Julie M. Cunningham, Demetrius Albanes, Nikolaus Becker, Elio Riboli, Alain Monnereau, Francine Laden, Celine M. Vachon, Charles C. Chung, Ruth C. Travis, Brandt Jones, Brenda M. Birmann, Nathaniel Rothman, Yolanda Benavente, Kevin B. Jacobs, Tait D. Shanafelt, Rachel S. Kelly, Anthony Staines, Marc Maynadié, Lucia Miligi, Paul Brennan, Silvia de Sanjosé, Karen Curtin, Tongzhang Zheng, Sílvia Beà, Bengt Glimelius, Elias Campo, W. Ryan Diver, Jeffrey Yuenger, Qing Lan, Peter Kraft, Kimberly A. Bertrand, Laurie Burdette, Martha Glenn, Jenny Turner, J. Brice Weinberg, Ju-Hyun Park, Paolo Boffetta, Jacqueline Clavel, Joseph F. Fraumeni, Martyn T. Smith, Logan G. Spector, Lynn R. Goldin, Mads Melbye, Paige M. Bracci, David Martín-García, Sara S. Strom, Christine F. Skibola, Vijai Joseph, Nicola J. Camp, Dimitrios Trichopoulos, Richard K. Severson, Elisabete Weiderpass, James R. Cerhan, Maria Grazia Ennas, Carlos López-Otín, Yawei Zhang, Jose F. Leis, Angel Carracedo, Graham G. Giles, Patricia Hartge, María Dolores Chirlaque, Zhaoming Wang, Martha S. Linet, John J. Spinelli, Alexandra Nieters, Anne Zeleniuch-Jacquotte, Giovanni Maria Ferri, Stephanie J. Weinstein, Meredith Yeager, Giovanna Masala, Neil E. Kay, Jacques Riby, Simon Crouch, Josh Wright, Berndt, S.I., Skibola, C.F., Joseph, V., Camp, N.J., Nieters, A., Wang, Z., Cozen, W., Monnereau, A., Wang, S.S., Kelly, R.S., Lan, Q., Teras, L.R., Chatterjee, N., Chung, C.C., Yeager, M., Brooks-Wilson, A.R., Hartge, P., Purdue, M.P., Birmann, B.M., Armstrong, B.K., Cocco, P., Zhang, Y., Severi, G., Zeleniuch-Jacquotte, A., Lawrence, C., Burdette, L., Yuenger, J., Hutchinson, A., Jacobs, K.B., Call, T.G., Shanafelt, T.D., Novak, A.J., Kay, N.E., Liebow, M., Wang, A.H., Smedby, K.E., Adami, H.-O., Melbye, M., Glimelius, B., Chang, E.T., Glenn, M., Curtin, K., Cannon-Albright, L.A., Jones, B., Diver, W.R., Link, B.K., Weiner, G.J., Conde, L., Bracci, P.M., Riby, J., Holly, E.A., Smith, M.T., Jackson, R.D., Tinker, L.F., Benavente, Y., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., McKay, J., Staines, A., Rabe, K.G., Achenbach, S.J., Vachon, C.M., Goldin, L.R., Strom, S.S., Lanasa, M.C., Spector, L.G., Leis, J.F., Cunningham, J.M., Weinberg, J.B., Morrison, V.A., Caporaso, N.E., Norman, A.D., Linet, M.S., De Roos, A.J., Morton, L.M., Severson, R.K., Riboli, E., Vineis, P., Kaaks, R., Trichopoulos, D., Masala, G., Weiderpass, E., Chirlaque, M.-D., Vermeulen, R.C.H., Travis, R.C., Giles, G.G., Albanes, D., Virtamo, J., Weinstein, S., Clavel, J., Zheng, T., Holford, T.R., Offit, K., Zelenetz, A., Klein, R.J., Spinelli, J.J., Bertrand, K.A., Laden, F., Giovannucci, E., Kraft, P., Kricker, A., Turner, J., Vajdic, C.M., Ennas, M.G., Ferri, G.M., Miligi, L., Liang, L., Sampson, J., Crouch, S., Park, J.-H., North, K.E., Cox, A., Snowden, J.A., Wright, J., Carracedo, A., Lopez-Otin, C., Bea, S., Salaverria, I., Martin-Garcia, D., Campo, E., Fraumeni Jr., J.F., De Sanjose, S., Hjalgrim, H., Cerhan, J.R., Chanock, S.J., Rothman, N., and Slager, S.L.
Subjects: Risk, Linkage disequilibrium, Chronic lymphocytic leukemia, Single-nucleotide polymorphism, Locus (genetics), Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Article, Genetics, medicine, Humans, Genetic Predisposition to Disease, Leucèmia limfocítica crònica, Genome-wide association studies (GWAS), B-cell lymphoma, chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL), Genetic association, Recombination, Genetic, Genomics, medicine.disease, Leukemia, Lymphocytic, Chronic, B-Cell, Genòmica, Leukemia, Genetic Loci, Case-Control Studies, Chromosomes, Human, Pair 2, Genome-Wide Association Study
Abstract: Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P = 1.22 × 10-14), 18q21.33 (BCL2, P = 7.76 × 10-11), 11p15.5 (C11orf21, P = 2.15 × 10 -10), 4q25 (LEF1, P = 4.24 × 10-10), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P = 2.50 × 10-9), 9p21.3 (CDKN2B-AS1, P = 1.27 × 10-8), 18q21.32 (PMAIP1, P = 2.51 × 10 -8), 15q15.1 (BMF, P = 2.71 × 10-10) and 2p22.2 (QPCT, P = 1.68 × 10-8), as well as an independent signal at an established locus (2q13, ACOXL, P = 2.08 × 10-18). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P = 5.40 × 10-8) and 5p15.33 (TERT, P = 1.92 × 10-7). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism. © 2013 Nature America, Inc. All rights reserved.
Published: 2013

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

Author: Neil E. Kay, Jacques Riby, Bengt Glimelius, Scott Davis, Susan L. Slager, Maryjean Schenk, Hui Qi Low, Nathaniel Rothman, Yolanda Benavente, Nicola J. Camp, Logan G. Spector, Jianjun Liu, Laura Z. Rassenti, Sara S. Strom, Mark P. Purdue, Karin E. Smedby, Paul Brennan, Silvia de Sanjosé, Tongzhang Zheng, Qing Lan, Wendy Cozen, Julie M. Cunningham, Martha Glenn, Henrik Hjalgrim, Christine F. Skibola, Bruce K. Armstrong, Celine M. Vachon, Lenka Foretova, Sara J. Achenbach, Alexandra Nieters, Paolo Boffetta, Marc Maynadié, Lynn R. Goldin, Peter Boyle, Sophia S. Wang, Eran Halperin, Stephen J. Chanock, Patricia Hartge, Hans-Olov Adami, Kari G. Rabe, Sam Milliken, Katja Butterbach, Kevin M. Brown, Nikolaus Becker, Lindsay M. Morton, Pierluigi Cocco, Keith Humphreys, Yawei Zhang, Neil E. Caporaso, Claire M. Vajdic, Mark C. Lanasa, Anne Kricker, John J. Spinelli, Ellen T. Chang, Gerald E. Marti, Mads Melbye, Hatef Darabi, Anthony Staines, Lucia Conde, Jose F. Leis, Timothy G. Call, Martyn T. Smith, Curtis A. Hanson, Nicholas K. Akers, Elizabeth A. Holly, Luz Agana, J. Brice Weinberg, Shelia Hoar Zahm, Paige M. Bracci, James R. Cerhan, Angela Brooks-Wilson, Conde, L., Halperin, E., Akers, N.K., Brown, K.M., Smedby, K.E., Rothman, N., Nieters, A., Slager, S.L., Brooks-Wilson, A., Agana, L., Riby, J., Liu, J., Adami, H.-O., Darabi, H., Hjalgrim, H., Low, H.-Q., Humphreys, K., Melbye, M., Chang, E.T., Glimelius, B., Cozen, W., Davis, S., Hartge, P., Morton, L.M., Schenk, M., Wang, S.S., Armstrong, B., Kricker, A., Milliken, S., Purdue, M.P., Vajdic, C.M., Boyle, P., Lan, Q., Zahm, S.H., Zhang, Y., Zheng, T., Becker, N., Benavente, Y., Boffetta, P., Brennan, P., Butterbach, K., Cocco, P., Foretova, L., Maynadié, M., De Sanjosé, S., Staines, A., Spinelli, J.J., Achenbach, S.J., Call, T.G., Camp, N.J., Glenn, M., Caporaso, N.E., Cerhan, J.R., Cunningham, J.M., Goldin, L.R., Hanson, C.A., Kay, N.E., Lanasa, M.C., Leis, J.F., Marti, G.E., Rabe, K.G., Rassenti, L.Z., Spector, L.G., Strom, S.S., Vachon, C.M., Weinberg, J.B., Holly, E.A., Chanock, S., Smith, M.T., Bracci, P.M., and Skibola, C.F.
Subjects: Chronic lymphocytic leukemia, Follicular lymphoma, Locus (genetics), Genome-wide association study, Human leukocyte antigen, Biology, Article, Major Histocompatibility Complex, 03 medical and health sciences, 0302 clinical medicine, follicular lymphoma, Risk Factors, hemic and lymphatic diseases, Genetics, medicine, Humans, Lymphoma, Follicular, 030304 developmental biology, 0303 health sciences, Lymphoma, Non-Hodgkin, Genetic Variation, 16. Peace & justice, medicine.disease, Leukemia, Lymphocytic, Chronic, B-Cell, 3. Good health, Lymphoma, Non-Hodgkin's lymphoma, Leukemia, 030220 oncology & carcinogenesis, Immunology, Disease Susceptibility, Genome-Wide Association Study
Abstract: To identify susceptibility loci for non-Hodgkin lymphoma subtypes, we conducted a three-stage genome-wide association study. We identified two variants associated with follicular lymphoma at 6p21.32 (rs10484561, combined P = 1.12 × 10-29 and rs7755224, combined P = 2.00 × 10-19; r2 = 1.0), supporting the idea that major histocompatibility complex genetic variation influences follicular lymphoma susceptibility. We also found confirmatory evidence of a previously reported association between chronic lymphocytic leukemia/small lymphocytic lymphoma and rs735665 (combined P = 4.24 × 10-9). © 2010 Nature America, Inc. All rights reserved.
Published: 2010

26. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types

Author: Yeul Hong Kim, Sonja I. Berndt, José María Huerta, Morgan Rouprêt, Reury Perng Perng, Yi Young Choi, Lindsay M. Morton, Roberto Tirabosco, H. Bas Bueno-de-Mesquita, Wendy Cozen, Neil E. Caporaso, Stephen J. Chanock, Zhenhong Zhao, Dina Halai, Neyssa Marina, Ann L. Oberg, Stephen M. Ansell, Zhibin Hu, Donghui Li, Anne J. Novak, Jenny Turner, Wen Tan, Julie E. Buring, Stefano Porru, Qincheng He, Tania Carreón, Guoping Wu, Graham G. Giles, Claire M. Vajdic, Rudolf Kaaks, Ulrika Andersson, Susan L. Slager, Jen Yu Hung, Luis Sierrasesúmaga, Roel Vermeulen, Louise A. Brinton, Myron D. Gross, Jennifer Prescott, E. Lund, Chih Yi Chen, Jin Eun Choi, Chaoyu Wang, George J. Weiner, H. Dean Hosgood, Haixin Li, Carrie A. Thompson, Núria Malats, James McKay, Stephanie J. Weinstein, Young Tae Kim, Emily White, Pan-Chyr Yang, Orestis A. Panagiotou, Robert J. Klein, Joseph Vijai, Josep Lloreta, Immaculata De Vivo, Sofia Pavanello, Thomas E. Witzig, Montserrat Garcia-Closas, Roger Henriksson, Bryan A. Bassig, Tait D. Shanafelt, Rachel S. Kelly, Joseph M. Connors, Marco Rais, Wu Chou Su, Alex Smith, John J. Spinelli, Julie M. Gastier-Foster, Anne Kricker, In Kyu Park, Marc J. Gunter, Chancellor Hohensee, Simon Crouch, Jarmo Virtamo, M. G. Ennas, Lucia Conde, Lotte Maxild Mortensen, Lenka Foretova, Eric J. Duell, Anthony Staines, Hongyan Chen, Baosen Zhou, Brian M. Wolpin, Simone Benhamou, Zhaoming Wang, Françoise Clavel-Chapelon, Charles C. Chung, Nan Hu, Domenico Palli, Rebecca Montalvan, Thomas M. Habermann, Debra T. Silverman, Preetha Rajaraman, Christian C. Abnet, Wei-Yen Lim, Yuh Min Chen, Michelle Cotterchio, Lucia Miligi, Claudia Maria Hattinger, Eve Roman, Christopher Kim, Federico Canzian, Alan D. L. Sihoe, Sharon A. Savage, Mark P. Purdue, Maria Teresa Landi, Susan M. Gapstur, M Zucca, Yuanqing Ye, Jian Su, Chong-Jen Yu, Edward Giovannucci, Alain Monnereau, Afshan Siddiq, Ralph L. Erickson, Katherine A. McGlynn, Petra H.M. Peeters, W. Ryan Diver, David Van Den Berg, Gloria M. Petersen, Judith Hoffman-Bolton, Xiao-Ou Shu, Ying Chen, Eric J. Jacobs, Heiner Boeing, Sophia S. Wang, Hans-Olov Adami, Yuqing Li, Jacqueline Clavel, Ellen T. Chang, Tongzhang Zheng, William Pao, Hideo Kunitoh, Ulrike Peters, Jenny Chang-Claude, Alexandra Nieters, Silvia de Sanjosé, Chen Wu, Anders Ahlbom, Jun Suk Kim, Fredrick R. Schumacher, Roberta McKean-Cowdin, Laurence N. Kolonel, Herbert Yu, Li Liu, Vittorio Krogh, Tangchun Wu, Ho Il Yoon, Joseph F. Fraumeni, Olivier Cussenot, Jae Sook Sung, Kari E. North, Andrew D. Zelenetz, Ana Patiño-García, Anne Zeleniuch-Jacquotte, Christopher A. Haiman, Biyun Qian, Giovanni Maria Ferri, Rebecca Rodabough, Xifeng Wu, Maria Feychting, Kuan-Yu Chen, Laure Dossus, Jianjun Liu, Jean Wactawski-Wende, Constance Chen, Robert L. Grubb, Paolo Vineis, Mads Melbye, Chien Chung Lin, Malin Sund, Wei Zheng, Jun Xu, Yi Song Chen, Kay-Tee Khaw, Richard K. Severson, Kun-Chieh Chen, Jian-Min Yuan, Bu Tian Ji, Simonetta Di Lollo, Ping Xu, Howard D. Sesso, Yoo Jin Jung, Margaret R. Karagas, Piero Picci, Gianluca Severi, Margaret A. Tucker, Ti Ding, Gee-Chen Chang, Li Hsin Chien, She-Juan An, Maria Pik Wong, Chien-Jen Chen, Jonine D. Figueroa, Sun-Seog Kweon, Katia Scotlandi, Sara H. Olson, Kendra Schwartz, Chang Hyun Kang, Marta Crous-Bou, Yawei Zhang, Ludmila Prokunina-Olsson, Yolanda Benavente, Christine D. Berg, Kala Visvanathan, Loic Le Marchand, Takashi Kohno, Nilanjan Chatterjee, Tracy Lightfoot, Zhihua Yin, Lee E. Moore, Joanne S. Colt, Laurie Burdett, Tetsuya Mitsudomi, Harvey A. Risch, Alfredo Carrato, Hyo Sung Jeon, Victoria L. Stevens, Richard Gorlick, Danylo J. Villano, Alison P. Klein, Angela Brooks-Wilson, Joshua N. Sampson, Chu Chen, You-Lin Qiao, Kouya Shiraishi, Alan R. Schned, Dominique S. Michaud, Peng Guan, Philip R. Taylor, Gerald L. Andriole, John K.C. Chan, Eva Comperat, Randy D. Gascoyne, Marc Maynadie, Kyong Hwa Park, Amanda Black, Charles Kooperberg, Andrea La Croix, Kenneth Offit, Peter Kraft, David Thomas, Manuela Gago-Dominguez, Manolis Kogevinas, Theodore R. Holford, Pamela L. Horn-Ross, Xingzhou He, Massimo Serra, Satu Männistö, Christoffer Johansen, Meredith Yeager, Robert N. Hoover, Mary Ann Butler, William Wheeler, Jian Gu, Wei Wu, Ying Hsiang Chen, Leslie Bernstein, Yao Jen Li, David J. Hunter, In-Jae Oh, Jay S. Wunder, Meng Zhu, Henrik Hjalgrim, Martyn T. Smith, Alisa M. Goldstein, Linda M. Liao, Chao Agnes Hsiung, Ruth C. Travis, Jiucun Wang, Marie-Christine Boutron-Ruault, Daru Lu, Reina García-Closas, Avima M. Ruder, Martha S. Linet, Wei Tang, Geraldine Cancel-Tassin, Brian K. Link, Rebecca D. Jackson, J. Michael Gaziano, Malcolm C. Pike, Yu-Tang Gao, Lisa Mirabello, Alan A. Arslan, Hong Zheng, Nicolas Wentzensen, Chung Hsing Chen, I. Shou Chang, Meir J. Stampfer, Brenda M. Birmann, Alison Johnson, Wong-Ho Chow, Chin-Fu Hsiao, Neal D. Freedman, Robert C. Kurtz, Donald A. Barkauskas, Steven Gallinger, Junwen Wang, Simina M. Boca, Irene L. Andrulis, Hongbing Shen, Adrienne M. Flanagan, Cosmeri Rizzato, Marianna C. Stern, Angela Carta, Melissa C. Southey, Corrado Magnani, Sook Whan Sung, Lesley F. Tinker, M. Dorronsoro, Guangfu Jin, Giovanna Masala, Yi-Long Wu, Min-Ho Shin, Ming Shyan Huang, Göran Hallmans, Xueying Zhao, Jacques Riby, Beatrice Melin, Adonina Tardón, Börje Ljungberg, Mark Liebow, Elizabeth A. Holly, Carol Giffen, Paolo Boffetta, Maria Fernanda Amary, Jihua Li, Mazda Jenab, Keitaro Matsuo, Nalan Gokgoz, Karin E. Smedby, Cari M. Kitahara, Mia M. Gaudet, Cecilia Arici, Brian E. Henderson, Amy Hutchinson, Elio Riboli, Patricia Hartge, Victoria K. Cortessis, Kexin Chen, Dalsu Baris, Michael Goggins, Young-Chul Kim, Tsung-Ying Yang, Fusheng Wei, Peter D. Inskip, Demetrius Albanes, Fang Yu Tsai, Qing Lan, Li Jin, Charles E. Lawrence, Nikolaus Becker, Rachael S. Stolzenberg-Solomon, Bengt Glimelius, Wei Hu, Maria Dolores Chirlaque, Kimberly A. Bertrand, Bruce K. Armstrong, Veronica Wendy Setiawan, Kathy J. Helzlsouer, Manal M. Hassan, Jun Yokota, David V. Conti, Kai Yu, Chenwei Liu, Christine F. Skibola, Jae Yong Park, Fernando Lecanda, Dimitrios Trichopoulos, Eleanor Kane, Dongxin Lin, Yun-Chul Hong, Consol Serra, Anne Tjønneland, Melissa A. Austin, X. Zhang, Charles S. Fuchs, Nathaniel Rothman, Paul Brennan, Chih-Liang Wang, Wei Shen, Ying-Huang Tsai, Hee Nam Kim, Ghislaine Scelo, Faith G. Davis, Sara Lindström, Molly Schwenn, Giuseppe Mastrangelo, Adeline Seow, Laufey T. Amundadottir, Laura E. Beane Freeman, Huan Guo, Victor Ho-Fun Lee, Aruna Kamineni, Pierluigi Cocco, Jiang Chang, Emanuele Angelucci, Paige M. Bracci, Yong-Bing Xiang, G. M. Monawar Hosain, Elisabete Weiderpass, James R. Cerhan, Junjie Wu, Lauren R. Teras, Jin Hee Kim, Qiuyin Cai, Sampson, J.N., Wheeler, W.A., Yeager, M., Panagiotou, O., Wang, Z., Berndt, S.I., Lan, Q., Abnet, C.C., Amundadottir, L.T., Figueroa, J.D., Landi, M.T., Mirabello, L., Savage, S.A., Taylor, P.R., De Vivo, I., McGlynn, K.A., Purdue, M.P., Rajaraman, P., Adami, H.-O., Ahlbom, A., Albanes, D., Amary, M.F., An, S.-J., Andersson, U., Andriole, G., Jr., Andrulis, I.L., Angelucci, E., Ansell, S.M., Arici, C., Armstrong, B.K., Arslan, A.A., Austin, M.A., Baris, D., Barkauskas, D.A., Bassig, B.A., Becker, N., Benavente, Y., Benhamou, S., Berg, C., Van Den Berg, D., Bernstein, L., Bertrand, K.A., Birmann, B.M., Black, A., Boeing, H., Boffetta, P., Boutron-Ruault, M.-C., Bracci, P.M., Brinton, L., Brooks-Wilson, A.R., Bueno-De-Mesquita, H.B., Burdett, L., Buring, J., Butler, M.A., Cai, Q., Cancel-Tassin, G., Canzian, F., Carrato, A., Carreon, T., Carta, A., Chan, J.K.C., Chang, E.T., Chang, G.-C., Chang, I.S., Chang, J., Chang-Claude, J., Chen, C.-J., Chen, C.-Y., Chen, C., Chen, C.-H., Chen, H., Chen, K., Chen, K.-Y., Chen, K.-C., Chen, Y., Chen, Y.-H., Chen, Y.-S., Chen, Y.-M., Chien, L.-H., Chirlaque, M.-D., Choi, J.E., Choi, Y.Y., Chow, W.-H., Chung, C.C., Clavel, J., Clavel-Chapelon, F., Cocco, P., Colt, J.S., Comperat, E., Conde, L., Connors, J.M., Conti, D., Cortessis, V.K., Cotterchio, M., Cozen, W., Crouch, S., Crous-Bou, M., Cussenot, O., Davis, F.G., Ding, T., Diver, W.R., Dorronsoro, M., Dossus, L., Duell, E.J., Ennas, M.G., Erickson, R.L., Feychting, M., Flanagan, A.M., Foretova, L., Fraumeni, J.F., Jr., Freedman, N.D., Freeman, L.E.B., Fuchs, C., Gago-Dominguez, M., Gallinger, S., Gao, Y.-T., Gapstur, S.M., Garcia-Closas, M., García-Closas, R., Gascoyne, R.D., Gastier-Foster, J., Gaudet, M.M., Gaziano, J.M., Giffen, C., Giles, G.G., Giovannucci, E., Glimelius, B., Goggins, M., Gokgoz, N., Goldstein, A.M., Gorlick, R., Gross, M., Grubb, R., III and Gu, J., Guan, P., Gunter, M., Guo, H., Habermann, T.M., Haiman, C.A., Halai, D., Hallmans, G., Hassan, M., Hattinger, C., He, Q., He, X., Helzlsouer, K., Henderson, B., Henriksson, R., Hjalgrim, H., Hoffman-Bolton, J., Hohensee, C., Holford, T.R., Holly, E.A., Hong, Y.-C., Hoover, R.N., Horn-Ross, P.L., Hosain, G.M.M., Hosgood, H.D., III and Hsiao, C.-F., Hu, N., Hu, W., Hu, Z., Huang, M.-S., Huerta, J.-M., Hung, J.-Y., Hutchinson, A., Inskip, P.D., Jackson, R.D., Jacobs, E.J., Jenab, M., Jeon, H.-S., Ji, B.-T., Jin, G., Jin, L., Johansen, C., Johnson, A., Jung, Y.J., Kaaks, R., Kamineni, A., Kane, E., Kang, C.H., Karagas, M.R., Kelly, R.S., Khaw, K.-T., Kim, C., Kim, H.N., Kim, J.H., Kim, J.S., Kim, Y.H., Kim, Y.T., Kim, Y.-C., Kitahara, C.M., Klein, A.P., Klein, R.J., Kogevinas, M., Kohno, T., Kolonel, L.N., Kooperberg, C., Kricker, A., Krogh, V., Kunitoh, H., Kurtz, R.C., Kweon, S.-S., La Croix, A., Lawrence, C., Lecanda, F., Lee, V.H.F., Li, D., Li, H., Li, J., Li, Y.-J., Li, Y., Liao, L.M., Liebow, M., Lightfoot, T., Lim, W.-Y., Lin, C.-C., Lin, D., Lindstrom, S., Linet, M.S., Link, B.K., Liu, C., Liu, J., Liu, L., Ljungberg, B., Lloreta, J., Di Lollo, S., Lu, D., Lund, E., Malats, N., Mannisto, S., Marchand, L.L., Marina, N., Masala, G., Mastrangelo, G., Matsuo, K., Maynadie, M., McKay, J., McKean-Cowdin, R., Melbye, M., Melin, B.S., Michaud, D.S., Mitsudomi, T., Monnereau, A., Montalvan, R., Moore, L.E., Mortensen, L.M., Nieters, A., North, K.E., Novak, A.J., Oberg, A.L., Offit, K., Oh, I.-J., Olson, S.H., Palli, D., Pao, W., Park, I.K., Park, J.Y., Park, K.H., Patiño-Garcia, A., Pavanello, S., Peeters, P.H.M., Perng, R.-P., Peters, U., Petersen, G.M., Picci, P., Pike, M.C., Porru, S., Prescott, J., Prokunina-Olsson, L., Qian, B., Qiao, Y.-L., Rais, M., Riboli, E., Riby, J., Risch, H.A., Rizzato, C., Rodabough, R., Roman, E., Roupret, M., Ruder, A.M., De Sanjose, S., Scelo, G., Schned, A., Schumacher, F., Schwartz, K., Schwenn, M., Scotlandi, K., Seow, A., Serra, C., Serra, M., Sesso, H.D., Setiawan, V.W., Severi, G., Severson, R.K., Shanafelt, T.D., Shen, H., Shen, W., Shin, M.-H., Shiraishi, K., Shu, X.-O., Siddiq, A., Sierrasesúmaga, L., Sihoe, A.D.L., Skibola, C.F., Smith, A., Smith, M.T., Southey, M.C., Spinelli, J.J., Staines, A., Stampfer, M., Stern, M.C., Stevens, V.L., Stolzenberg-Solomon, R.S., Su, J., Su, W.-C., Sund, M., Sung, J.S., Sung, S.W., Tan, W., Tang, W., Tardón, A., Thomas, D., Thompson, C.A., Tinker, L.F., Tirabosco, R., Tjønneland, A., Travis, R.C., Trichopoulos, D., Tsai, F.-Y., Tsai, Y.-H., Tucker, M., Turner, J., Vajdic, C.M., Vermeulen, R.C.H., Villano, D.J., Vineis, P., Virtamo, J., Visvanathan, K., Wactawski-Wende, J., Wang, C., Wang, C.-L., Wang, J.-C., Wang, J., Wei, F., Weiderpass, E., Weiner, G.J., Weinstein, S., Wentzensen, N., White, E., Witzig, T.E., Wolpin, B.M., Wong, M.P., Wu, C., Wu, G., Wu, J., Wu, T., Wu, W., Wu, X., Wu, Y.-L., Wunder, J.S., Xiang, Y.-B., Xu, J., Xu, P., Yang, P.-C., Yang, T.-Y., Ye, Y., Yin, Z., Yokota, J., Yoon, H.-I., Yu, C.-J., Yu, H., Yu, K., Yuan, J.-M., Zelenetz, A., Zeleniuch-Jacquotte, A., Zhang, X.-C., Zhang, Y., Zhao, X., Zhao, Z., Zheng, H., Zheng, T., Zheng, W., Zhou, B., Zhu, M., Zucca, M., Boca, S.M., Cerhan, J.R., Ferri, G.M., Hartge, P., Hsiung, C.A., Magnani, C., Miligi, L., Morton, L.M., Smedby, K.E., Teras, L.R., Vijai, J., Wang, S.S., Brennan, P., Caporaso, N.E., Hunter, D.J., Kraft, P., Rothman, N., Silverman, D.T., Slager, S.L., Chanock, S.J., Chatterjee, N., Infection & Immunity, dIRAS RA-I&I RA, LS IRAS EEPI GRA (Gezh.risico-analyse), and Risk Assessment
Subjects: Male, Cancer Research, Lung Neoplasms, Lymphoma, Genome-wide association study, Polymorphism (computer science), Neoplasms, Medicine, Chronic, Genetics, Osteosarcoma, Oncology And Carcinogenesis, Leukemia, Smoking, Family aggregation, Single Nucleotide, Middle Aged, Familial risk, Diffuse, Kidney Neoplasms, Lymphocytic, Oncology, Adult, Aged, Asian Continental Ancestry Group, Bone Neoplasms, European Continental Ancestry Group, Female, Humans, Leukemia, Lymphocytic, Chronic, B-Cell, Lymphoma, Large B-Cell, Diffuse, Polymorphism, Single Nucleotide, Testicular Neoplasms, Tissue Array Analysis, Urinary Bladder Neoplasms, Genetic Predisposition to Disease, Genome-Wide Association Study, Genetic correlation, Large B-Cell, Oncology & Carcinogenesis, Polymorphism, business.industry, Extramural, B-Cell, Cancer, Heritability, Genome-wide association studies for thirteen cancer types, medicine.disease, business
Abstract: BACKGROUND: Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.METHODS: Between 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.RESULTS: GWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.CONCLUSION: Our results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.
Published: 2015
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27. Correction: Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes.

Author: Berndt SI, Vijai J, Benavente Y, Camp NJ, Nieters A, Wang Z, Smedby KE, Kleinstern G, Hjalgrim H, Besson C, Skibola CF, Morton LM, Brooks-Wilson AR, Teras LR, Breeze C, Arias J, Adami HO, Albanes D, Anderson KC, Ansell SM, Bassig B, Becker N, Bhatti P, Birmann BM, Boffetta P, Bracci PM, Brennan P, Brown EE, Burdett L, Cannon-Albright LA, Chang ET, Chiu BCH, Chung CC, Clavel J, Cocco P, Colditz G, Conde L, Conti DV, Cox DG, Curtin K, Casabonne D, De Vivo I, Diepstra A, Diver WR, Dogan A, Edlund CK, Foretova L, Fraumeni JF Jr, Gabbas A, Ghesquières H, Giles GG, Glaser S, Glenn M, Glimelius B, Gu J, Habermann TM, Haiman CA, Haioun C, Hofmann JN, Holford TR, Holly EA, Hutchinson A, Izhar A, Jackson RD, Jarrett RF, Kaaks R, Kane E, Kolonel LN, Kong Y, Kraft P, Kricker A, Lake A, Lan Q, Lawrence C, Li D, Liebow M, Link BK, Magnani C, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Monnereau A, Montalvan R, North KE, Novak AJ, Onel K, Purdue MP, Rand KA, Riboli E, Riby J, Roman E, Salles G, Sborov DW, Severson RK, Shanafelt TD, Smith MT, Smith A, Song KW, Song L, Southey MC, Spinelli JJ, Staines A, Stephens D, Sutherland HJ, Tkachuk K, Thompson CA, Tilly H, Tinker LF, Travis RC, Turner J, Vachon CM, Vajdic CM, Van Den Berg A, Van Den Berg DJ, Vermeulen RCH, Vineis P, Wang SS, Weiderpass E, Weiner GJ, Weinstein S, Doo NW, Ye Y, Yeager M, Yu K, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Ziv E, Sampson J, Chatterjee N, Offit K, Cozen W, Wu X, Cerhan JR, Chanock SJ, Slager SL, and Rothman N
Published: 2023
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28. Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes.

Author: Berndt SI, Vijai J, Benavente Y, Camp NJ, Nieters A, Wang Z, Smedby KE, Kleinstern G, Hjalgrim H, Besson C, Skibola CF, Morton LM, Brooks-Wilson AR, Teras LR, Breeze C, Arias J, Adami HO, Albanes D, Anderson KC, Ansell SM, Bassig B, Becker N, Bhatti P, Birmann BM, Boffetta P, Bracci PM, Brennan P, Brown EE, Burdett L, Cannon-Albright LA, Chang ET, Chiu BCH, Chung CC, Clavel J, Cocco P, Colditz G, Conde L, Conti DV, Cox DG, Curtin K, Casabonne D, De Vivo I, Diepstra A, Diver WR, Dogan A, Edlund CK, Foretova L, Fraumeni JF Jr, Gabbas A, Ghesquières H, Giles GG, Glaser S, Glenn M, Glimelius B, Gu J, Habermann TM, Haiman CA, Haioun C, Hofmann JN, Holford TR, Holly EA, Hutchinson A, Izhar A, Jackson RD, Jarrett RF, Kaaks R, Kane E, Kolonel LN, Kong Y, Kraft P, Kricker A, Lake A, Lan Q, Lawrence C, Li D, Liebow M, Link BK, Magnani C, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Monnereau A, Montalvan R, North KE, Novak AJ, Onel K, Purdue MP, Rand KA, Riboli E, Riby J, Roman E, Salles G, Sborov DW, Severson RK, Shanafelt TD, Smith MT, Smith A, Song KW, Song L, Southey MC, Spinelli JJ, Staines A, Stephens D, Sutherland HJ, Tkachuk K, Thompson CA, Tilly H, Tinker LF, Travis RC, Turner J, Vachon CM, Vajdic CM, Van Den Berg A, Van Den Berg DJ, Vermeulen RCH, Vineis P, Wang SS, Weiderpass E, Weiner GJ, Weinstein S, Doo NW, Ye Y, Yeager M, Yu K, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Ziv E, Sampson J, Chatterjee N, Offit K, Cozen W, Wu X, Cerhan JR, Chanock SJ, Slager SL, and Rothman N
Subjects: Humans, Genome-Wide Association Study, Risk Factors, Germ Cells, Case-Control Studies, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Lymphoma, Non-Hodgkin genetics
Abstract: Lymphoma risk is elevated for relatives with common non-Hodgkin lymphoma (NHL) subtypes, suggesting shared genetic susceptibility across subtypes. To evaluate the extent of mutual heritability among NHL subtypes and discover novel loci shared among subtypes, we analyzed data from eight genome-wide association studies within the InterLymph Consortium, including 10,629 cases and 9505 controls. We utilized Association analysis based on SubSETs (ASSET) to discover loci for subsets of NHL subtypes and evaluated shared heritability across the genome using Genome-wide Complex Trait Analysis (GCTA) and polygenic risk scores. We discovered 17 genome-wide significant loci (P < 5 × 10 -8 ) for subsets of NHL subtypes, including a novel locus at 10q23.33 (HHEX) (P = 3.27 × 10 -9 ). Most subset associations were driven primarily by only one subtype. Genome-wide genetic correlations between pairs of subtypes varied broadly from 0.20 to 0.86, suggesting substantial heterogeneity in the extent of shared heritability among subtypes. Polygenic risk score analyses of established loci for different lymphoid malignancies identified strong associations with some NHL subtypes (P < 5 × 10 -8 ), but weak or null associations with others. Although our analyses suggest partially shared heritability and biological pathways, they reveal substantial heterogeneity among NHL subtypes with each having its own distinct germline genetic architecture., (© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)
Published: 2022
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29. Two high-risk susceptibility loci at 6p25.3 and 14q32.13 for Waldenström macroglobulinemia.

Author: McMaster ML, Berndt SI, Zhang J, Slager SL, Li SA, Vajdic CM, Smedby KE, Yan H, Birmann BM, Brown EE, Smith A, Kleinstern G, Fansler MM, Mayr C, Zhu B, Chung CC, Park JH, Burdette L, Hicks BD, Hutchinson A, Teras LR, Adami HO, Bracci PM, McKay J, Monnereau A, Link BK, Vermeulen RCH, Ansell SM, Maria A, Diver WR, Melbye M, Ojesina AI, Kraft P, Boffetta P, Clavel J, Giovannucci E, Besson CM, Canzian F, Travis RC, Vineis P, Weiderpass E, Montalvan R, Wang Z, Yeager M, Becker N, Benavente Y, Brennan P, Foretova L, Maynadie M, Nieters A, de Sanjose S, Staines A, Conde L, Riby J, Glimelius B, Hjalgrim H, Pradhan N, Feldman AL, Novak AJ, Lawrence C, Bassig BA, Lan Q, Zheng T, North KE, Tinker LF, Cozen W, Severson RK, Hofmann JN, Zhang Y, Jackson RD, Morton LM, Purdue MP, Chatterjee N, Offit K, Cerhan JR, Chanock SJ, Rothman N, Vijai J, Goldin LR, Skibola CF, and Caporaso NE
Subjects: Base Sequence, Cell Proliferation, Family, Genes, Reporter, Genotyping Techniques, Green Fluorescent Proteins metabolism, HEK293 Cells, Humans, Inheritance Patterns genetics, MicroRNAs metabolism, Molecular Sequence Annotation, Polymorphism, Single Nucleotide genetics, Reproducibility of Results, Risk Factors, Chromosomes, Human, Pair 14 genetics, Chromosomes, Human, Pair 6 genetics, Genetic Predisposition to Disease, Waldenstrom Macroglobulinemia genetics
Abstract: Waldenström macroglobulinemia (WM)/lymphoplasmacytic lymphoma (LPL) is a rare, chronic B-cell lymphoma with high heritability. We conduct a two-stage genome-wide association study of WM/LPL in 530 unrelated cases and 4362 controls of European ancestry and identify two high-risk loci associated with WM/LPL at 6p25.3 (rs116446171, near EXOC2 and IRF4; OR = 21.14, 95% CI: 14.40-31.03, P = 1.36 × 10 -54 ) and 14q32.13 (rs117410836, near TCL1; OR = 4.90, 95% CI: 3.45-6.96, P = 8.75 × 10 -19 ). Both risk alleles are observed at a low frequency among controls (~2-3%) and occur in excess in affected cases within families. In silico data suggest that rs116446171 may have functional importance, and in functional studies, we demonstrate increased reporter transcription and proliferation in cells transduced with the 6p25.3 risk allele. Although further studies are needed to fully elucidate underlying biological mechanisms, together these loci explain 4% of the familial risk and provide insights into genetic susceptibility to this malignancy.
Published: 2018
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30. Lupus-related single nucleotide polymorphisms and risk of diffuse large B-cell lymphoma.

Author: Bernatsky S, Velásquez García HA, Spinelli JJ, Gaffney P, Smedby KE, Ramsey-Goldman R, Wang SS, Adami HO, Albanes D, Angelucci E, Ansell SM, Asmann YW, Becker N, Benavente Y, Berndt SI, Bertrand KA, Birmann BM, Boeing H, Boffetta P, Bracci PM, Brennan P, Brooks-Wilson AR, Cerhan JR, Chanock SJ, Clavel J, Conde L, Cotenbader KH, Cox DG, Cozen W, Crouch S, De Roos AJ, de Sanjose S, Di Lollo S, Diver WR, Dogan A, Foretova L, Ghesquières H, Giles GG, Glimelius B, Habermann TM, Haioun C, Hartge P, Hjalgrim H, Holford TR, Holly EA, Jackson RD, Kaaks R, Kane E, Kelly RS, Klein RJ, Kraft P, Kricker A, Lan Q, Lawrence C, Liebow M, Lightfoot T, Link BK, Maynadie M, McKay J, Melbye M, Molina TJ, Monnereau A, Morton LM, Nieters A, North KE, Novak AJ, Offit K, Purdue MP, Rais M, Riby J, Roman E, Rothman N, Salles G, Severi G, Severson RK, Skibola CF, Slager SL, Smith A, Smith MT, Southey MC, Staines A, Teras LR, Thompson CA, Tilly H, Tinker LF, Tjonneland A, Turner J, Vajdic CM, Vermeulen RCH, Vijai J, Vineis P, Virtamo J, Wang Z, Weinstein S, Witzig TE, Zelenetz A, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Zucca M, and Clarke AE
Abstract: Objective: Determinants of the increased risk of diffuse large B-cell lymphoma (DLBCL) in SLE are unclear. Using data from a recent lymphoma genome-wide association study (GWAS), we assessed whether certain lupus-related single nucleotide polymorphisms (SNPs) were also associated with DLBCL., Methods: GWAS data on European Caucasians from the International Lymphoma Epidemiology Consortium (InterLymph) provided a total of 3857 DLBCL cases and 7666 general-population controls. Data were pooled in a random-effects meta-analysis., Results: Among the 28 SLE-related SNPs investigated, the two most convincingly associated with risk of DLBCL included the CD40 SLE risk allele rs4810485 on chromosome 20q13 (OR per risk allele=1.09, 95% CI 1.02 to 1.16, p=0.0134), and the HLA SLE risk allele rs1270942 on chromosome 6p21.33 (OR per risk allele=1.17, 95% CI 1.01 to 1.36, p=0.0362). Of additional possible interest were rs2205960 and rs12537284. The rs2205960 SNP, related to a cytokine of the tumour necrosis factor superfamily TNFSF4, was associated with an OR per risk allele of 1.07, 95% CI 1.00 to 1.16, p=0.0549. The OR for the rs12537284 (chromosome 7q32, IRF5 gene) risk allele was 1.08, 95% CI 0.99 to 1.18, p=0.0765., Conclusions: These data suggest several plausible genetic links between DLBCL and SLE., Competing Interests: Competing interests: None declared.
Published: 2017
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31. Serum protein profiling in diffuse large B-cell lymphoma.

Author: Riby J, Mobley J, Zhang J, Bracci PM, and Skibola CF
Subjects: Adiponectin metabolism, Aged, Aged, 80 and over, Case-Control Studies, Chromatography, High Pressure Liquid, Enzyme-Linked Immunosorbent Assay, Extracellular Matrix Proteins metabolism, Heparan Sulfate Proteoglycans metabolism, Humans, Lipopolysaccharide Receptors metabolism, Lymphoma, Large B-Cell, Diffuse blood, Mass Spectrometry, Middle Aged, Peptides analysis, Pilot Projects, Blood Proteins metabolism, Lymphoma, Large B-Cell, Diffuse pathology
Abstract: Purpose: The aim of this pilot study was to conduct a nontargeted exploratory proteomics profiling analysis on sera obtained from patients diagnosed with diffuse large B-cell lymphoma (DLBCL) with the goal of identifying disease-specific biomarkers., Experimental Design: Sera from 87 participants (57 chemotherapy-naïve diffuse DLBCL patients, 30 controls frequency-matched by age group and World Health Organization (WHO) BMI categories) that were part of a large San Francisco Bay Area case-control study of non-Hodgkin lymphoma were analyzed by liquid chromatography combined with tandem mass spectrometry., Results: Thirty-five proteins (p-adjusted <0.05) were identified as differentially abundant between the DLBCL patients at various disease stages as compared to the controls. Of these, five proteins were randomly selected for further confirmation by ELISA: adiponectin (AdipoQ), cluster of differentiation 14 (CD14), heparin sulfate proteoglycan core protein (HSPG2), extracellular matrix 1 (ECM1), and alpha-1-antichymotrypsin (ACT). These proteins were statistically significantly elevated by 68.8, 37.0, 61.6, 68.0, and 32.0%, respectively, in DLBCL patient sera as compared to controls., Conclusion and Clinical Relevance: These preliminary data when combined with other cancer-related data regarding these proteins warrant continued research in clinical and large prospective studies to clarify the role for these biomarkers in DLBCL pathogenesis and/or prognosis., (© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
Published: 2016
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32. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes.

Author: Machiela MJ, Lan Q, Slager SL, Vermeulen RC, Teras LR, Camp NJ, Cerhan JR, Spinelli JJ, Wang SS, Nieters A, Vijai J, Yeager M, Wang Z, Ghesquières H, McKay J, Conde L, de Bakker PI, Cox DG, Burdett L, Monnereau A, Flowers CR, De Roos AJ, Brooks-Wilson AR, Giles GG, Melbye M, Gu J, Jackson RD, Kane E, Purdue MP, Vajdic CM, Albanes D, Kelly RS, Zucca M, Bertrand KA, Zeleniuch-Jacquotte A, Lawrence C, Hutchinson A, Zhi D, Habermann TM, Link BK, Novak AJ, Dogan A, Asmann YW, Liebow M, Thompson CA, Ansell SM, Witzig TE, Tilly H, Haioun C, Molina TJ, Hjalgrim H, Glimelius B, Adami HO, Roos G, Bracci PM, Riby J, Smith MT, Holly EA, Cozen W, Hartge P, Morton LM, Severson RK, Tinker LF, North KE, Becker N, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, Staines A, Lightfoot T, Crouch S, Smith A, Roman E, Diver WR, Offit K, Zelenetz A, Klein RJ, Villano DJ, Zheng T, Zhang Y, Holford TR, Turner J, Southey MC, Clavel J, Virtamo J, Weinstein S, Riboli E, Vineis P, Kaaks R, Boeing H, Tjønneland A, Angelucci E, Di Lollo S, Rais M, De Vivo I, Giovannucci E, Kraft P, Huang J, Ma B, Ye Y, Chiu BC, Liang L, Park JH, Chung CC, Weisenburger DD, Fraumeni JF Jr, Salles G, Glenn M, Cannon-Albright L, Curtin K, Wu X, Smedby KE, de Sanjose S, Skibola CF, Berndt SI, Birmann BM, Chanock SJ, and Rothman N
Subjects: Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Prospective Studies, Genetic Association Studies methods, Genetic Predisposition to Disease, Lymphoma, B-Cell genetics, Lymphoma, B-Cell pathology, Telomere pathology
Abstract: Evidence from a small number of studies suggests that longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk in a study of 10 102 NHL cases of the four most common B-cell histologic types and 9562 controls using a genetic risk score (GRS) comprising nine telomere length-associated single-nucleotide polymorphisms. This approach uses existing genotype data and estimates telomere length by weighing the number of telomere length-associated variant alleles an individual carries with the published change in kb of telomere length. The analysis of the telomere length GRS resulted in an association between longer telomere length and increased NHL risk [four B-cell histologic types combined; odds ratio (OR) = 1.49, 95% CI 1.22-1.82,P-value = 8.5 × 10(-5)]. Subtype-specific analyses indicated that chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL) was the principal NHL subtype contributing to this association (OR = 2.60, 95% CI 1.93-3.51,P-value = 4.0 × 10(-10)). Significant interactions were observed across strata of sex for CLL/SLL and marginal zone lymphoma subtypes as well as age for the follicular lymphoma subtype. Our results indicate that a genetic background that favors longer telomere length may increase NHL risk, particularly risk of CLL/SLL, and are consistent with earlier studies relating longer telomere length with increased NHL risk., (Published by Oxford University Press 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US.)
Published: 2016
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33. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia.

Author: Berndt SI, Camp NJ, Skibola CF, Vijai J, Wang Z, Gu J, Nieters A, Kelly RS, Smedby KE, Monnereau A, Cozen W, Cox A, Wang SS, Lan Q, Teras LR, Machado M, Yeager M, Brooks-Wilson AR, Hartge P, Purdue MP, Birmann BM, Vajdic CM, Cocco P, Zhang Y, Giles GG, Zeleniuch-Jacquotte A, Lawrence C, Montalvan R, Burdett L, Hutchinson A, Ye Y, Call TG, Shanafelt TD, Novak AJ, Kay NE, Liebow M, Cunningham JM, Allmer C, Hjalgrim H, Adami HO, Melbye M, Glimelius B, Chang ET, Glenn M, Curtin K, Cannon-Albright LA, Diver WR, Link BK, Weiner GJ, Conde L, Bracci PM, Riby J, Arnett DK, Zhi D, Leach JM, Holly EA, Jackson RD, Tinker LF, Benavente Y, Sala N, Casabonne D, Becker N, Boffetta P, Brennan P, Foretova L, Maynadie M, McKay J, Staines A, Chaffee KG, Achenbach SJ, Vachon CM, Goldin LR, Strom SS, Leis JF, Weinberg JB, Caporaso NE, Norman AD, De Roos AJ, Morton LM, Severson RK, Riboli E, Vineis P, Kaaks R, Masala G, Weiderpass E, Chirlaque MD, Vermeulen RCH, Travis RC, Southey MC, Milne RL, Albanes D, Virtamo J, Weinstein S, Clavel J, Zheng T, Holford TR, Villano DJ, Maria A, Spinelli JJ, Gascoyne RD, Connors JM, Bertrand KA, Giovannucci E, Kraft P, Kricker A, Turner J, Ennas MG, Ferri GM, Miligi L, Liang L, Ma B, Huang J, Crouch S, Park JH, Chatterjee N, North KE, Snowden JA, Wright J, Fraumeni JF, Offit K, Wu X, de Sanjose S, Cerhan JR, Chanock SJ, Rothman N, and Slager SL
Subjects: Adaptor Proteins, Signal Transducing genetics, Apoptosis Regulatory Proteins genetics, Bcl-2-Like Protein 11, Genetic Predisposition to Disease, Humans, Membrane Proteins genetics, Polymorphism, Single Nucleotide, Proto-Oncogene Proteins genetics, Serpins genetics, T-Box Domain Proteins genetics, Genome-Wide Association Study, Leukemia, Lymphocytic, Chronic, B-Cell genetics, White People genetics
Abstract: Chronic lymphocytic leukemia (CLL) is a common lymphoid malignancy with strong heritability. To further understand the genetic susceptibility for CLL and identify common loci associated with risk, we conducted a meta-analysis of four genome-wide association studies (GWAS) composed of 3,100 cases and 7,667 controls with follow-up replication in 1,958 cases and 5,530 controls. Here we report three new loci at 3p24.1 (rs9880772, EOMES, P=2.55 × 10(-11)), 6p25.2 (rs73718779, SERPINB6, P=1.97 × 10(-8)) and 3q28 (rs9815073, LPP, P=3.62 × 10(-8)), as well as a new independent SNP at the known 2q13 locus (rs9308731, BCL2L11, P=1.00 × 10(-11)) in the combined analysis. We find suggestive evidence (P<5 × 10(-7)) for two additional new loci at 4q24 (rs10028805, BANK1, P=7.19 × 10(-8)) and 3p22.2 (rs1274963, CSRNP1, P=2.12 × 10(-7)). Pathway analyses of new and known CLL loci consistently show a strong role for apoptosis, providing further evidence for the importance of this biological pathway in CLL susceptibility.
Published: 2016
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34. The potential relevance of the endocannabinoid, 2-arachidonoylglycerol, in diffuse large B-cell lymphoma.

Author: Zhang J, Medina-Cleghorn D, Bernal-Mizrachi L, Bracci PM, Hubbard A, Conde L, Riby J, Nomura DK, and Skibola CF
Abstract: Diffuse large B-cell lymphoma is an aggressive, genetically heterogenerous disease and the most common type of non-Hodgkin lymphoma among adults. To gain further insights into the etiology of DLBCL and to discover potential disease-related factors, we performed a serum lipid analysis on a subset of individuals from a population-based NHL case-control study. An untargeted mass-spectrometry-based metabolomics platform was used to analyze serum samples from 100 DLBCL patients and 100 healthy matched controls. Significantly elevated levels of the endocannabinoid, 2-arachidonoylglycerol (2-AG), were detected in the serum of DLBCL patients (121%, P < 0.05). In the male controls, elevated 2-AG levels were observed in those who were overweight (BMI ≥ 25 - < 30 kg/m2; 108%, P < 0.01) and obese (BMI ≥ 30 kg/m(2); 118%, P < 0.001) compared to those with a BMI < 25 kg/m(2). DLBCL cell lines treated with exogenous 2-AG across a range of concentrations, exhibited heterogenous responses: proliferation rates were markedly higher in 4 cell lines by 22%-68% (P < 0.001) and lower in 8 by 20%-75% (P < 0.001). The combined findings of elevated 2-AG levels in DLBCL patients and the proliferative effects of 2-AG on a subset of DLBCL cell lines suggests that 2-AG may play a potential role in the pathogenesis or progression of a subset of DLBCLs.
Published: 2016
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35. A genome-wide association study of marginal zone lymphoma shows association to the HLA region.

Author: Vijai J, Wang Z, Berndt SI, Skibola CF, Slager SL, de Sanjose S, Melbye M, Glimelius B, Bracci PM, Conde L, Birmann BM, Wang SS, Brooks-Wilson AR, Lan Q, de Bakker PI, Vermeulen RC, Portlock C, Ansell SM, Link BK, Riby J, North KE, Gu J, Hjalgrim H, Cozen W, Becker N, Teras LR, Spinelli JJ, Turner J, Zhang Y, Purdue MP, Giles GG, Kelly RS, Zeleniuch-Jacquotte A, Ennas MG, Monnereau A, Bertrand KA, Albanes D, Lightfoot T, Yeager M, Chung CC, Burdett L, Hutchinson A, Lawrence C, Montalvan R, Liang L, Huang J, Ma B, Villano DJ, Maria A, Corines M, Thomas T, Novak AJ, Dogan A, Liebow M, Thompson CA, Witzig TE, Habermann TM, Weiner GJ, Smith MT, Holly EA, Jackson RD, Tinker LF, Ye Y, Adami HO, Smedby KE, De Roos AJ, Hartge P, Morton LM, Severson RK, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, McKay J, Staines A, Diver WR, Vajdic CM, Armstrong BK, Kricker A, Zheng T, Holford TR, Severi G, Vineis P, Ferri GM, Ricco R, Miligi L, Clavel J, Giovannucci E, Kraft P, Virtamo J, Smith A, Kane E, Roman E, Chiu BC, Fraumeni JF, Wu X, Cerhan JR, Offit K, Chanock SJ, Rothman N, and Nieters A
Subjects: Butyrophilins, Computational Biology, Genome-Wide Association Study, Genotype, Humans, Lymphoma, B-Cell, Marginal Zone genetics, Major Histocompatibility Complex genetics, Membrane Glycoproteins genetics, Polymorphism, Single Nucleotide genetics, White People genetics
Abstract: Marginal zone lymphoma (MZL) is the third most common subtype of B-cell non-Hodgkin lymphoma. Here we perform a two-stage GWAS of 1,281 MZL cases and 7,127 controls of European ancestry and identify two independent loci near BTNL2 (rs9461741, P=3.95 × 10(-15)) and HLA-B (rs2922994, P=2.43 × 10(-9)) in the HLA region significantly associated with MZL risk. This is the first evidence that genetic variation in the major histocompatibility complex influences MZL susceptibility.
Published: 2015
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36. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma.

Author: Cerhan JR, Berndt SI, Vijai J, Ghesquières H, McKay J, Wang SS, Wang Z, Yeager M, Conde L, de Bakker PI, Nieters A, Cox D, Burdett L, Monnereau A, Flowers CR, De Roos AJ, Brooks-Wilson AR, Lan Q, Severi G, Melbye M, Gu J, Jackson RD, Kane E, Teras LR, Purdue MP, Vajdic CM, Spinelli JJ, Giles GG, Albanes D, Kelly RS, Zucca M, Bertrand KA, Zeleniuch-Jacquotte A, Lawrence C, Hutchinson A, Zhi D, Habermann TM, Link BK, Novak AJ, Dogan A, Asmann YW, Liebow M, Thompson CA, Ansell SM, Witzig TE, Weiner GJ, Veron AS, Zelenika D, Tilly H, Haioun C, Molina TJ, Hjalgrim H, Glimelius B, Adami HO, Bracci PM, Riby J, Smith MT, Holly EA, Cozen W, Hartge P, Morton LM, Severson RK, Tinker LF, North KE, Becker N, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, Staines A, Lightfoot T, Crouch S, Smith A, Roman E, Diver WR, Offit K, Zelenetz A, Klein RJ, Villano DJ, Zheng T, Zhang Y, Holford TR, Kricker A, Turner J, Southey MC, Clavel J, Virtamo J, Weinstein S, Riboli E, Vineis P, Kaaks R, Trichopoulos D, Vermeulen RC, Boeing H, Tjonneland A, Angelucci E, Di Lollo S, Rais M, Birmann BM, Laden F, Giovannucci E, Kraft P, Huang J, Ma B, Ye Y, Chiu BC, Sampson J, Liang L, Park JH, Chung CC, Weisenburger DD, Chatterjee N, Fraumeni JF Jr, Slager SL, Wu X, de Sanjose S, Smedby KE, Salles G, Skibola CF, Rothman N, and Chanock SJ
Subjects: Chromosome Mapping, Computational Biology, Genome-Wide Association Study, Genotype, Humans, Likelihood Functions, Polymorphism, Single Nucleotide genetics, Quantitative Trait Loci genetics, Genetic Loci genetics, Genetic Predisposition to Disease genetics, Lymphoma, Large B-Cell, Diffuse genetics, White People genetics
Abstract: Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10(-21)), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10(-10)), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10(-8)) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10(-13) and 3.63 × 10(-11), respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL.
Published: 2014
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37. Genome-wide association study identifies five susceptibility loci for follicular lymphoma outside the HLA region.

Author: Skibola CF, Berndt SI, Vijai J, Conde L, Wang Z, Yeager M, de Bakker PI, Birmann BM, Vajdic CM, Foo JN, Bracci PM, Vermeulen RC, Slager SL, de Sanjose S, Wang SS, Linet MS, Salles G, Lan Q, Severi G, Hjalgrim H, Lightfoot T, Melbye M, Gu J, Ghesquières H, Link BK, Morton LM, Holly EA, Smith A, Tinker LF, Teras LR, Kricker A, Becker N, Purdue MP, Spinelli JJ, Zhang Y, Giles GG, Vineis P, Monnereau A, Bertrand KA, Albanes D, Zeleniuch-Jacquotte A, Gabbas A, Chung CC, Burdett L, Hutchinson A, Lawrence C, Montalvan R, Liang L, Huang J, Ma B, Liu J, Adami HO, Glimelius B, Ye Y, Nowakowski GS, Dogan A, Thompson CA, Habermann TM, Novak AJ, Liebow M, Witzig TE, Weiner GJ, Schenk M, Hartge P, De Roos AJ, Cozen W, Zhi D, Akers NK, Riby J, Smith MT, Lacher M, Villano DJ, Maria A, Roman E, Kane E, Jackson RD, North KE, Diver WR, Turner J, Armstrong BK, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, Staines A, McKay J, Brooks-Wilson AR, Zheng T, Holford TR, Chamosa S, Kaaks R, Kelly RS, Ohlsson B, Travis RC, Weiderpass E, Clavel J, Giovannucci E, Kraft P, Virtamo J, Mazza P, Cocco P, Ennas MG, Chiu BC, Fraumeni JF Jr, Nieters A, Offit K, Wu X, Cerhan JR, Smedby KE, Chanock SJ, and Rothman N
Subjects: Alleles, Case-Control Studies, Haplotypes genetics, Humans, Biomarkers, Tumor genetics, Chromosomes, Human genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, HLA Antigens genetics, Lymphoma, Follicular genetics, Polymorphism, Single Nucleotide genetics
Abstract: Genome-wide association studies (GWASs) of follicular lymphoma (FL) have previously identified human leukocyte antigen (HLA) gene variants. To identify additional FL susceptibility loci, we conducted a large-scale two-stage GWAS in 4,523 case subjects and 13,344 control subjects of European ancestry. Five non-HLA loci were associated with FL risk: 11q23.3 (rs4938573, p = 5.79 × 10(-20)) near CXCR5; 11q24.3 (rs4937362, p = 6.76 × 10(-11)) near ETS1; 3q28 (rs6444305, p = 1.10 × 10(-10)) in LPP; 18q21.33 (rs17749561, p = 8.28 × 10(-10)) near BCL2; and 8q24.21 (rs13254990, p = 1.06 × 10(-8)) near PVT1. In an analysis of the HLA region, we identified four linked HLA-DRβ1 multiallelic amino acids at positions 11, 13, 28, and 30 that were associated with FL risk (pomnibus = 4.20 × 10(-67) to 2.67 × 10(-70)). Additional independent signals included rs17203612 in HLA class II (odds ratio [OR(per-allele)] = 1.44; p = 4.59 × 10(-16)) and rs3130437 in HLA class I (OR(per-allele) = 1.23; p = 8.23 × 10(-9)). Our findings further expand the number of loci associated with FL and provide evidence that multiple common variants outside the HLA region make a significant contribution to FL risk., (Copyright © 2014 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
Published: 2014
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38. Copy number variation analysis on a non-Hodgkin lymphoma case-control study identifies an 11q25 duplication associated with diffuse large B-cell lymphoma.

Author: Conde L, Riby J, Zhang J, Bracci PM, and Skibola CF
Subjects: Adult, Aged, Aged, 80 and over, Case-Control Studies, Chromosomes, Human, Pair 11 genetics, Female, Humans, Male, Middle Aged, Young Adult, DNA Copy Number Variations, Lymphoma, Large B-Cell, Diffuse genetics, RNA, Long Noncoding genetics, Trisomy genetics
Abstract: Recent GWAS have identified several susceptibility loci for NHL. Despite these successes, much of the heritable variation in NHL risk remains to be explained. Common copy-number variants are important genomic sources of variability, and hence a potential source to explain part of this missing heritability. In this study, we carried out a CNV analysis using GWAS data from 681 NHL cases and 749 controls to explore the relationship between common structural variation and lymphoma susceptibility. Here we found a novel association with diffuse large B-cell lymphoma (DLBCL) risk involving a partial duplication of the C-terminus region of the LOC283177 long non-coding RNA that was further confirmed by quantitative PCR. For chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), known somatic deletions were identified on chromosomes 13q14, 11q22-23, 14q32 and 22q11.22. Our study shows that GWAS data can be used to identify germline CNVs associated with disease risk for DLBCL and somatic CNVs for CLL/SLL.
Published: 2014
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39. eALPS: estimating abundance levels in pooled sequencing using available genotyping data.

Author: Eskin I, Hormozdiari F, Conde L, Riby J, Skibola CF, Eskin E, and Halperin E
Subjects: Algorithms, Escherichia coli genetics, False Positive Reactions, Genome, Bacterial, Genome, Human, Humans, Lymphoma, Non-Hodgkin genetics, Metagenome, Microbiota genetics, Models, Genetic, Polymorphism, Single Nucleotide, Genotyping Techniques, Sequence Analysis, DNA
Abstract: The recent advances in high-throughput sequencing technologies bring the potential of a better characterization of the genetic variation in humans and other organisms. In many occasions, either by design or by necessity, the sequencing procedure is performed on a pool of DNA samples with different abundances, where the abundance of each sample is unknown. Such a scenario is naturally occurring in the case of metagenomics analysis where a pool of bacteria is sequenced, or in the case of population studies involving DNA pools by design. Particularly, various pooling designs were recently suggested that can identify carriers of rare alleles in large cohorts, dramatically reducing the cost of such large-scale sequencing projects. A fundamental problem with such approaches for population studies is that the uncertainty of DNA proportions from different individuals in the pools might lead to spurious associations. Fortunately, it is often the case that the genotype data of at least some of the individuals in the pool is known. Here, we propose a method (eALPS) that uses the genotype data in conjunction with the pooled sequence data in order to accurately estimate the proportions of the samples in the pool, even in cases where not all individuals in the pool were genotyped (eALPS-LD). Using real data from a sequencing pooling study of non-Hodgkin's lymphoma, we demonstrate that the estimation of the proportions is crucial, since otherwise there is a risk for false discoveries. Additionally, we demonstrate that our approach is also applicable to the problem of quantification of species in metagenomics samples (eALPS-BCR) and is particularly suitable for metagenomic quantification of closely related species.
Published: 2013
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40. X chromosome-wide association study of follicular lymphoma.

Author: Conde L, Foo JN, Riby J, Liu J, Darabi H, Hjalgrim H, Bracci PM, Smedby KE, and Skibola CF
Subjects: Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Chromosomes, Human, X, Lymphoma, Follicular genetics
Published: 2013
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41. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia.

Author: Berndt SI, Skibola CF, Joseph V, Camp NJ, Nieters A, Wang Z, Cozen W, Monnereau A, Wang SS, Kelly RS, Lan Q, Teras LR, Chatterjee N, Chung CC, Yeager M, Brooks-Wilson AR, Hartge P, Purdue MP, Birmann BM, Armstrong BK, Cocco P, Zhang Y, Severi G, Zeleniuch-Jacquotte A, Lawrence C, Burdette L, Yuenger J, Hutchinson A, Jacobs KB, Call TG, Shanafelt TD, Novak AJ, Kay NE, Liebow M, Wang AH, Smedby KE, Adami HO, Melbye M, Glimelius B, Chang ET, Glenn M, Curtin K, Cannon-Albright LA, Jones B, Diver WR, Link BK, Weiner GJ, Conde L, Bracci PM, Riby J, Holly EA, Smith MT, Jackson RD, Tinker LF, Benavente Y, Becker N, Boffetta P, Brennan P, Foretova L, Maynadie M, McKay J, Staines A, Rabe KG, Achenbach SJ, Vachon CM, Goldin LR, Strom SS, Lanasa MC, Spector LG, Leis JF, Cunningham JM, Weinberg JB, Morrison VA, Caporaso NE, Norman AD, Linet MS, De Roos AJ, Morton LM, Severson RK, Riboli E, Vineis P, Kaaks R, Trichopoulos D, Masala G, Weiderpass E, Chirlaque MD, Vermeulen RC, Travis RC, Giles GG, Albanes D, Virtamo J, Weinstein S, Clavel J, Zheng T, Holford TR, Offit K, Zelenetz A, Klein RJ, Spinelli JJ, Bertrand KA, Laden F, Giovannucci E, Kraft P, Kricker A, Turner J, Vajdic CM, Ennas MG, Ferri GM, Miligi L, Liang L, Sampson J, Crouch S, Park JH, North KE, Cox A, Snowden JA, Wright J, Carracedo A, Lopez-Otin C, Bea S, Salaverria I, Martin-Garcia D, Campo E, Fraumeni JF Jr, de Sanjose S, Hjalgrim H, Cerhan JR, Chanock SJ, Rothman N, and Slager SL
Subjects: Case-Control Studies, Chromosomes, Human, Pair 2, Genetic Predisposition to Disease, Humans, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Recombination, Genetic, Risk, Genetic Loci, Genome-Wide Association Study, Leukemia, Lymphocytic, Chronic, B-Cell genetics
Abstract: Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P=1.22×10(-14)), 18q21.33 (BCL2, P=7.76×10(-11)), 11p15.5 (C11orf21, P=2.15×10(-10)), 4q25 (LEF1, P=4.24×10(-10)), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P=2.50×10(-9)), 9p21.3 (CDKN2B-AS1, P=1.27×10(-8)), 18q21.32 (PMAIP1, P=2.51×10(-8)), 15q15.1 (BMF, P=2.71×10(-10)) and 2p22.2 (QPCT, P=1.68×10(-8)), as well as an independent signal at an established locus (2q13, ACOXL, P=2.08×10(-18)). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P=5.40×10(-8)) and 5p15.33 (TERT, P=1.92×10(-7)). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.
Published: 2013
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42. Rare variant association testing under low-coverage sequencing.

Author: Navon O, Sul JH, Han B, Conde L, Bracci PM, Riby J, Skibola CF, Eskin E, and Halperin E
Subjects: Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Sequence Analysis, DNA, Gene Frequency, High-Throughput Nucleotide Sequencing, Models, Genetic, Polymorphism, Single Nucleotide genetics
Abstract: Deep sequencing technologies enable the study of the effects of rare variants in disease risk. While methods have been developed to increase statistical power for detection of such effects, detecting subtle associations requires studies with hundreds or thousands of individuals, which is prohibitively costly. Recently, low-coverage sequencing has been shown to effectively reduce the cost of genome-wide association studies, using current sequencing technologies. However, current methods for disease association testing on rare variants cannot be applied directly to low-coverage sequencing data, as they require individual genotype data, which may not be called correctly due to low-coverage and inherent sequencing errors. In this article, we propose two novel methods for detecting association of rare variants with disease risk, using low coverage, error-prone sequencing. We show by simulation that our methods outperform previous methods under both low- and high-coverage sequencing and under different disease architectures. We use real data and simulation studies to demonstrate that to maximize the power to detect associations for a fixed budget, it is desirable to include more samples while lowering coverage and to perform an analysis using our suggested methods.
Published: 2013
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43. Smoking, variation in N-acetyltransferase 1 (NAT1) and 2 (NAT2), and risk of non-Hodgkin lymphoma: a pooled analysis within the InterLymph consortium.

Author: Gibson TM, Smedby KE, Skibola CF, Hein DW, Slager SL, de Sanjosé S, Vajdic CM, Zhang Y, Chiu BC, Wang SS, Hjalgrim H, Nieters A, Bracci PM, Kricker A, Zheng T, Kolar C, Cerhan JR, Darabi H, Becker N, Conde L, Holford TR, Weisenburger DD, De Roos AJ, Butterbach K, Riby J, Cozen W, Benavente Y, Palmers C, Holly EA, Sampson JN, Rothman N, Armstrong BK, and Morton LM
Subjects: Adult, Aged, Aged, 80 and over, Case-Control Studies, Female, Genetic Variation physiology, Humans, Lymphoma, Non-Hodgkin epidemiology, Lymphoma, Non-Hodgkin genetics, Male, Middle Aged, Polymorphism, Single Nucleotide physiology, Risk Factors, Smoking epidemiology, Young Adult, Arylamine N-Acetyltransferase genetics, Isoenzymes genetics, Lymphoma, Non-Hodgkin etiology, Smoking adverse effects
Abstract: Purpose: Studies of smoking and risk of non-Hodgkin lymphoma (NHL) have yielded inconsistent results, possibly due to subtype heterogeneity and/or genetic variation impacting the metabolism of tobacco-derived carcinogens, including substrates of the N-acetyltransferase enzymes NAT1 and NAT2., Methods: We conducted a pooled analysis of 5,026 NHL cases and 4,630 controls from seven case-control studies in the international lymphoma epidemiology consortium to examine associations between smoking, variation in the N-acetyltransferase genes NAT1 and NAT2, and risk of NHL subtypes. Smoking data were harmonized across studies, and genetic variants in NAT1 and NAT2 were used to infer acetylation phenotype of the NAT1 and NAT2 enzymes, respectively. Pooled odds ratios (ORs) and 95 % confidence intervals (95 % CIs) for risk of NHL and subtypes were calculated using joint fixed effects unconditional logistic regression models., Results: Current smoking was associated with a significant 30 % increased risk of follicular lymphoma (n = 1,176) but not NHL overall or other NHL subtypes. The association was similar among NAT2 slow (OR 1.36; 95 % CI 1.07-1.75) and intermediate/rapid (OR 1.27; 95 % CI 0.95-1.69) acetylators (p (interaction) = 0.82) and also did not differ by NAT1*10 allelotype. Neither NAT2 phenotype nor NAT1*10 allelotype was associated with risk of NHL overall or NHL subtypes., Conclusion: The current findings provide further evidence for a modest association between current smoking and follicular lymphoma risk and suggest that this association may not be influenced by variation in the N-acetyltransferase enzymes.
Published: 2013
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44. A meta-analysis of genome-wide association studies of follicular lymphoma.

Author: Skibola CF, Conde L, Foo JN, Riby J, Humphreys K, Sillé FC, Darabi H, Sanchez S, Hjalgrim H, Liu J, Bracci PM, and Smedby KE
Subjects: Case-Control Studies, Female, Gene Expression Regulation, Genome-Wide Association Study, HLA-DP beta-Chains immunology, Humans, Linkage Disequilibrium, Lymphoma, Follicular immunology, Male, Risk, Alleles, Genetic Loci, Genetic Predisposition to Disease, HLA-DP beta-Chains genetics, Lymphoma, Follicular genetics, Polymorphism, Single Nucleotide
Abstract: Background: B-cell non-Hodgkin lymphoma represents a diverse group of hematological malignancies, of which follicular lymphoma (FL) is one of the most common subtypes. Family and epidemiological studies suggest an important genetic role in the etiology of FL. In recent genome-wide association studies (GWAS) of FL, several genetic susceptibility loci have been identified on chromosome 6p21.33 (rs6457327) and 6p21.32 (rs10484561, rs2647012) in the human leukocyte antigen class I and class II regions. To identify new genetic variants and further elucidate the genetic basis of FL, a meta-analysis was performed of the top 1000 SNPs associated with FL risk from two GWAS in the US, Denmark and Sweden (592 cases, 1541 controls), with independent validation in 107 cases and 681 controls., Results: rs9275517 and rs3117222 in the HLA class II region were validated and inversely associated with FL risk (rs9275517: OR = 0.63, 95% CI = 0.55-0.73, p = 4.03 × 10(-11); rs3117222: OR = 0.66, 95% CI = 0.57-0.77, p = 1.45 × 10(-7)). rs9275517, which is in high linkage disequilibrium with rs2647012 (r2 = 0.9), was no longer associated with FL after conditioning on rs2647012. The rs3117222 association was independent of established FL SNPs, but not of the HLA-DPB1*0301 allele. Using publicly available gene expression profiles with matching genotype information, we found that rs3117222 also was significantly correlated with increased HLA-DPB1 expression., Conclusions: By performing a meta-analysis of two GWAS of FL, we further validated the relevance of HLA-DPB1*0301 as a protective allele in the pathogenesis of FL. Moreover, the protective rs3117222 A allele correlated with increased levels of HLA-DPB1, suggesting a possible disease mechanism involving HLA-DPB1 expression regulation. Our results add further support to the major role of HLA genetic variation in the pathogenesis of FL.
Published: 2012
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45. Common variation at 6p21.31 (BAK1) influences the risk of chronic lymphocytic leukemia.

Author: Slager SL, Skibola CF, Di Bernardo MC, Conde L, Broderick P, McDonnell SK, Goldin LR, Croft N, Holroyd A, Harris S, Riby J, Serie DJ, Kay NE, Call TG, Bracci PM, Halperin E, Lanasa MC, Cunningham JM, Leis JF, Morrison VA, Spector LG, Vachon CM, Shanafelt TD, Strom SS, Camp NJ, Weinberg JB, Matutes E, Caporaso NE, Wade R, Dyer MJ, Dearden C, Cerhan JR, Catovsky D, and Houlston RS
Subjects: Adolescent, Adult, Aged, Aged, 80 and over, Benzamides, Cytogenetic Analysis, Female, Humans, Imatinib Mesylate, In Situ Hybridization, Fluorescence, Leukemia, Myeloid, Chronic-Phase mortality, Male, Middle Aged, Prognosis, Prospective Studies, RNA, Messenger genetics, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, Survival Rate, Young Adult, Antineoplastic Agents adverse effects, Chromosome Aberrations chemically induced, Leukemia, Myeloid, Chronic-Phase drug therapy, Leukemia, Myeloid, Chronic-Phase genetics, Philadelphia Chromosome, Piperazines adverse effects, Pyrimidines adverse effects
Abstract: We performed a meta-analysis of 3 genome-wide association studies to identify additional common variants influencing chronic lymphocytic leukemia (CLL) risk. The discovery phase was composed of genome-wide association study data from 1121 cases and 3745 controls. Replication analysis was performed in 861 cases and 2033 controls. We identified a novel CLL risk locus at 6p21.33 (rs210142; intronic to the BAK1 gene, BCL2 antagonist killer 1; P = 9.47 × 10(-16)). A strong relationship between risk genotype and reduced BAK1 expression was shown in lymphoblastoid cell lines. This finding provides additional support for polygenic inheritance to CLL and provides further insight into the biologic basis of disease development.
Published: 2012
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46. GWAS of follicular lymphoma reveals allelic heterogeneity at 6p21.32 and suggests shared genetic susceptibility with diffuse large B-cell lymphoma.

Author: Smedby KE, Foo JN, Skibola CF, Darabi H, Conde L, Hjalgrim H, Kumar V, Chang ET, Rothman N, Cerhan JR, Brooks-Wilson AR, Rehnberg E, Irwan ID, Ryder LP, Brown PN, Bracci PM, Agana L, Riby J, Cozen W, Davis S, Hartge P, Morton LM, Severson RK, Wang SS, Slager SL, Fredericksen ZS, Novak AJ, Kay NE, Habermann TM, Armstrong B, Kricker A, Milliken S, Purdue MP, Vajdic CM, Boyle P, Lan Q, Zahm SH, Zhang Y, Zheng T, Leach S, Spinelli JJ, Smith MT, Chanock SJ, Padyukov L, Alfredsson L, Klareskog L, Glimelius B, Melbye M, Liu ET, Adami HO, Humphreys K, and Liu J
Subjects: Denmark, Gene Frequency, Genetic Variation, Genome, Human, Genome-Wide Association Study, Haplotypes, Humans, Polymorphism, Single Nucleotide, Risk Factors, Sweden, Chromosomes, Human, Pair 6 genetics, Genetic Predisposition to Disease, Histocompatibility Antigens Class II genetics, Lymphoma, Follicular genetics, Lymphoma, Large B-Cell, Diffuse genetics
Abstract: Non-Hodgkin lymphoma (NHL) represents a diverse group of hematological malignancies, of which follicular lymphoma (FL) is a prevalent subtype. A previous genome-wide association study has established a marker, rs10484561 in the human leukocyte antigen (HLA) class II region on 6p21.32 associated with increased FL risk. Here, in a three-stage genome-wide association study, starting with a genome-wide scan of 379 FL cases and 791 controls followed by validation in 1,049 cases and 5,790 controls, we identified a second independent FL-associated locus on 6p21.32, rs2647012 (OR(combined) = 0.64, P(combined) = 2 × 10(-21)) located 962 bp away from rs10484561 (r(2)<0.1 in controls). After mutual adjustment, the associations at the two SNPs remained genome-wide significant (rs2647012:OR(adjusted) = 0.70, P(adjusted) = 4 × 10(-12); rs10484561:OR(adjusted) = 1.64, P(adjusted) = 5 × 10(-15)). Haplotype and coalescence analyses indicated that rs2647012 arose on an evolutionarily distinct haplotype from that of rs10484561 and tags a novel allele with an opposite (protective) effect on FL risk. Moreover, in a follow-up analysis of the top 6 FL-associated SNPs in 4,449 cases of other NHL subtypes, rs10484561 was associated with risk of diffuse large B-cell lymphoma (OR(combined) = 1.36, P(combined) = 1.4 × 10(-7)). Our results reveal the presence of allelic heterogeneity within the HLA class II region influencing FL susceptibility and indicate a possible shared genetic etiology with diffuse large B-cell lymphoma. These findings suggest that the HLA class II region plays a complex yet important role in NHL., Competing Interests: The authors have declared that no competing interests exist.
Published: 2011
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47. Genome-wide association study of follicular lymphoma identifies a risk locus at 6p21.32.

Author: Conde L, Halperin E, Akers NK, Brown KM, Smedby KE, Rothman N, Nieters A, Slager SL, Brooks-Wilson A, Agana L, Riby J, Liu J, Adami HO, Darabi H, Hjalgrim H, Low HQ, Humphreys K, Melbye M, Chang ET, Glimelius B, Cozen W, Davis S, Hartge P, Morton LM, Schenk M, Wang SS, Armstrong B, Kricker A, Milliken S, Purdue MP, Vajdic CM, Boyle P, Lan Q, Zahm SH, Zhang Y, Zheng T, Becker N, Benavente Y, Boffetta P, Brennan P, Butterbach K, Cocco P, Foretova L, Maynadié M, de Sanjosé S, Staines A, Spinelli JJ, Achenbach SJ, Call TG, Camp NJ, Glenn M, Caporaso NE, Cerhan JR, Cunningham JM, Goldin LR, Hanson CA, Kay NE, Lanasa MC, Leis JF, Marti GE, Rabe KG, Rassenti LZ, Spector LG, Strom SS, Vachon CM, Weinberg JB, Holly EA, Chanock S, Smith MT, Bracci PM, and Skibola CF
Subjects: Disease Susceptibility, Genetic Variation, Humans, Leukemia, Lymphocytic, Chronic, B-Cell genetics, Lymphoma, Non-Hodgkin genetics, Major Histocompatibility Complex, Risk Factors, Genome-Wide Association Study, Lymphoma, Follicular genetics
Abstract: To identify susceptibility loci for non-Hodgkin lymphoma subtypes, we conducted a three-stage genome-wide association study. We identified two variants associated with follicular lymphoma at 6p21.32 (rs10484561, combined P = 1.12 x 10(-29) and rs7755224, combined P = 2.00 x 10(-19); r(2) = 1.0), supporting the idea that major histocompatibility complex genetic variation influences follicular lymphoma susceptibility. We also found confirmatory evidence of a previously reported association between chronic lymphocytic leukemia/small lymphocytic lymphoma and rs735665 (combined P = 4.24 x 10(-9)).
Published: 2010
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48. A sandwich enzyme-linked immunosorbent assay for adducts of polycyclic aromatic hydrocarbons with human serum albumin.

Author: Chung MK, Riby J, Li H, Iavarone AT, Williams ER, Zheng Y, and Rappaport SM
Subjects: Air Pollutants, Occupational chemistry, Antibodies, Monoclonal immunology, Antibodies, Monoclonal metabolism, Biomarkers analysis, DNA chemistry, DNA Adducts analysis, Humans, Mass Spectrometry, Occupational Exposure, Pyrenes chemistry, Enzyme-Linked Immunosorbent Assay methods, Polycyclic Aromatic Hydrocarbons chemistry, Serum Albumin chemistry
Abstract: Adducts of benzo[a]pyrene-diolepoxide (BPDE) with blood nucleophiles have been used as biomarkers of exposure to polycyclic aromatic hydrocarbons (PAHs). The most popular such assay is a competitive enzyme-linked immunosorbent assay (ELISA) that employs monoclonal antibody 8E11 to detect benzo[a]pyrene tetrols following hydrolysis of BPDE adducts from lymphocyte DNA or human serum albumin (HSA). Here we used 8E11 as the capture antibody in a sandwich ELISA to detect BPDE-HSA adducts directly in 1-mg samples of HSA or 20 microl of serum/plasma. The assay employs an anti-HSA antibody for detection, and this is amplified by an avidin/biotinylated horseradish peroxidase complex. The sandwich ELISA has advantages of specificity and simplicity and is approximately 10 times more sensitive than the competitive ELISA. To validate the assay, HSA samples were assayed from three populations with known high PAH exposures (coke oven workers), medium PAH exposures (steel factory control workers), and low PAH exposures (volunteer subjects) (n=30). The respective geometric mean levels of BPDE-HSA adducts--67.8, 14.7, and 1.93 ng/mg HSA (1010, 220, and 28.9 fmol BPDE equiv/mg HSA)--were significantly different (P<0.05). The sandwich ELISA will be useful for screening PAH exposures in large epidemiologic studies and can be extended to other adducts for which capture antibodies are available., (2010 Elsevier Inc. All rights reserved.)
Published: 2010
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49. Enrichment of cysteinyl adducts of human serum albumin.

Author: Funk WE, Li H, Iavarone AT, Williams ER, Riby J, and Rappaport SM
Subjects: Adult, Chromatography, Affinity, Humans, Sulfhydryl Compounds chemistry, Cysteine chemistry, Serum Albumin chemistry, Spectrometry, Mass, Electrospray Ionization methods
Abstract: We report a method to enrich cysteinyl adducts of human serum albumin (HSA), representing biomarkers of exposure to systemic electrophiles. Because the major site of HSA adduction is the single free sulfhydryl group at Cys34, we used thiol-affinity resins to remove mercaptalbumin (i.e., unadducted HSA) from the cysteinyl adducts. Electrospray ionization mass spectrometry was used to detect mercaptalbumin and HSA-Cys34 modifications before and after enrichment of HSA. Differences in adduct content were detected across samples of freshly isolated, archived, and commercial HSA. Cysteinylated and glycosylated adducts were present in all samples, with abundances decreasing in the following order: commercial HSA>archived HSA>fresh HSA. After enrichment of HSA, mercaptalbumin was no longer observed in mass spectra. The ratios of HSA adducts post-/preenrichment, quantified via the Bradford assay and gel electrophoresis, were 0.029 mg adducts/mg HSA in fresh HSA and 0.323 mg adducts/mg HSA in archived HSA. The apparent elevation of adduct levels in archived samples could be due to differences in specimen preparation and storage rather than to differences in circulating HSA adducts. We conclude that thiol-affinity resins can efficiently remove mercaptalbumin from HSA samples prior to characterization and quantitation of protein adducts of reactive systemic electrophiles., (2010 Elsevier Inc. All rights reserved.)
Published: 2010
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50. Genetic variants at 6p21.33 are associated with susceptibility to follicular lymphoma.

Author: Skibola CF, Bracci PM, Halperin E, Conde L, Craig DW, Agana L, Iyadurai K, Becker N, Brooks-Wilson A, Curry JD, Spinelli JJ, Holly EA, Riby J, Zhang L, Nieters A, Smith MT, and Brown KM
Subjects: Humans, Lymphoma, Large B-Cell, Diffuse genetics, Polymorphism, Single Nucleotide genetics, Chromosomes, Human, Pair 6 genetics, Genetic Predisposition to Disease, Genetic Variation, Lymphoma, Follicular genetics
Abstract: We conducted genome-wide association studies of non-Hodgkin lymphoma using Illumina HumanHap550 BeadChips to identify subtype-specific associations in follicular, diffuse large B-cell and chronic lymphocytic leukemia/small lymphocytic lymphomas. We found that rs6457327 on 6p21.33 was associated with susceptibility to follicular lymphoma (FL; N = 189 cases, 592 controls) with validation in another 456 FL cases and 2,785 controls (combined allelic P = 4.7 x 10(-11)). The region of strongest association overlapped C6orf15 (STG), located near psoriasis susceptibility region 1 (PSORS1).
Published: 2009
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