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119 results on '"Jenkins M.A."'

1. Genome-wide association studies and Mendelian randomization analyses provide insights into the causes of early-onset colorectal cancer

Author

Laskar, R.S., Qu, C., Huyghe, J.R., Harrison, T., Hayes, R.B., Cao, Y., Campbell, P.T., Steinfelder, R., Talukdar, F.R., Brenner, H., Ogino, S., Brendt, S., Bishop, D.T., Buchanan, D.D., Chan, A.T., Cotterchio, M., Gruber, S.B., Gsur, A., van Guelpen, B., Jenkins, M.A., Keku, T.O., Lynch, B.M., Le Marchand, L., Martin, R.M., McCarthy, K., Moreno, V., Pearlman, R., Song, M., Tsilidis, K.K., Vodička, P., Woods, M.O., Wu, K., Hsu, L., Gunter, M.J., Peters, U., and Murphy, N.

Published
2024
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3. Colorectal cancer incidences in Lynch syndrome: a comparison of results from the prospective lynch syndrome database and the international mismatch repair consortium

Author

Møller, P., Seppälä, T., Dowty, J.G., Haupt, S., Dominguez-Valentin, M., Sunde, L., Bernstein, I., Engel, C., Aretz, S., Nielsen, M., Capella, G., Evans, D.G., Burn, J., Holinski-Feder, E., Bertario, L., Bonanni, B., Lindblom, A., Levi, Z., Macrae, F., Winship, I., Plazzer, J.P., Sijmons, R., Laghi, L., Valle, A.D., Heinimann, K., Half, E., Lopez-Koestner, F., Alvarez-Valenzuela, K., Scott, R.J., Katz, L., Laish, I., Vainer, E., Vaccaro, C.A., Carraro, D.M., Gluck, N., Abu-Freha, N., Stakelum, A., Kennelly, R., Winter, D., Rossi, B.M., Greenblatt, M., Bohorquez, M., Sheth, H., Tibiletti, M.G., Lino-Silva, L.S., Horisberger, K., Portenkirchner, C., Nascimento, I., Rossi, N.T., Silva, L.A. da, Thomas, H, Zaránd, A., Mecklin, J.P., Pylvänäinen, K., Renkonen-Sinisalo, L., Lepisto, A., Peltomäki, P., Therkildsen, C., Lindberg, L.J., Thorlacius-Ussing, O., Doeberitz, M. von Knebel, Loeffler, M., Rahner, N., Steinke-Lange, V., Schmiegel, W., Vangala, D., Perne, C., Hüneburg, R., Vargas, A.F. de, Latchford, A., Gerdes, A.M., Backman, A.S., Guillén-Ponce, C., Snyder, C., Lautrup, C.K., Amor, D., Palmero, E., Stoffel, E., Duijkers, F., Hall, M.J., Hampel, H., Williams, H., Okkels, H., Lubiński, J., Reece, J., Ngeow, J., Guillem, J.G., Arnold, J., Wadt, K., Monahan, K., Senter, L., Rasmussen, L.J., Hest, L.P. van, Ricciardiello, L., Kohonen-Corish, M.R.J., Ligtenberg, M.J.L., Southey, M., Aronson, M., Zahary, M.N., Samadder, N.J., Hoogerbrugge, N., Sampson, J.R., Jenkins, M.A., Møller, P., Seppälä, T., Dowty, J.G., Haupt, S., Dominguez-Valentin, M., Sunde, L., Bernstein, I., Engel, C., Aretz, S., Nielsen, M., Capella, G., Evans, D.G., Burn, J., Holinski-Feder, E., Bertario, L., Bonanni, B., Lindblom, A., Levi, Z., Macrae, F., Winship, I., Plazzer, J.P., Sijmons, R., Laghi, L., Valle, A.D., Heinimann, K., Half, E., Lopez-Koestner, F., Alvarez-Valenzuela, K., Scott, R.J., Katz, L., Laish, I., Vainer, E., Vaccaro, C.A., Carraro, D.M., Gluck, N., Abu-Freha, N., Stakelum, A., Kennelly, R., Winter, D., Rossi, B.M., Greenblatt, M., Bohorquez, M., Sheth, H., Tibiletti, M.G., Lino-Silva, L.S., Horisberger, K., Portenkirchner, C., Nascimento, I., Rossi, N.T., Silva, L.A. da, Thomas, H, Zaránd, A., Mecklin, J.P., Pylvänäinen, K., Renkonen-Sinisalo, L., Lepisto, A., Peltomäki, P., Therkildsen, C., Lindberg, L.J., Thorlacius-Ussing, O., Doeberitz, M. von Knebel, Loeffler, M., Rahner, N., Steinke-Lange, V., Schmiegel, W., Vangala, D., Perne, C., Hüneburg, R., Vargas, A.F. de, Latchford, A., Gerdes, A.M., Backman, A.S., Guillén-Ponce, C., Snyder, C., Lautrup, C.K., Amor, D., Palmero, E., Stoffel, E., Duijkers, F., Hall, M.J., Hampel, H., Williams, H., Okkels, H., Lubiński, J., Reece, J., Ngeow, J., Guillem, J.G., Arnold, J., Wadt, K., Monahan, K., Senter, L., Rasmussen, L.J., Hest, L.P. van, Ricciardiello, L., Kohonen-Corish, M.R.J., Ligtenberg, M.J.L., Southey, M., Aronson, M., Zahary, M.N., Samadder, N.J., Hoogerbrugge, N., Sampson, J.R., and Jenkins, M.A.

Abstract

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Published
2022

5. Risk factors for melanoma by anatomical site: an evaluation of aetiological heterogeneity*.

Author

Laskar R., Ferreiro-Iglesias A., Kanetsky P.A., Law M.H., Goldstein A.M., Robbins H.A., Mann G.J., Cust A.E., Schmid H., Hopper J.L., Aitken J.F., Armstrong B.K., Giles G.G., Holland E., Kefford R.F., Jenkins M.A., Newton Bishop J.A., Affleck P., Barrett J.H., Bishop D.T., Harrison J., Iles M.M., Randerson-Moor J., Harland M., Taylor J.C., Whittaker L., Kukalizch K., Leake S., Karpavicius B., Haynes S., Mack T., Chan M., Taylor Y., Davies J., King P., Laskar R., Ferreiro-Iglesias A., Kanetsky P.A., Law M.H., Goldstein A.M., Robbins H.A., Mann G.J., Cust A.E., Schmid H., Hopper J.L., Aitken J.F., Armstrong B.K., Giles G.G., Holland E., Kefford R.F., Jenkins M.A., Newton Bishop J.A., Affleck P., Barrett J.H., Bishop D.T., Harrison J., Iles M.M., Randerson-Moor J., Harland M., Taylor J.C., Whittaker L., Kukalizch K., Leake S., Karpavicius B., Haynes S., Mack T., Chan M., Taylor Y., Davies J., and King P.

Abstract

Background: Melanoma aetiology has been proposed to have two pathways, which are determined by naevi and type of sun exposure and related to the anatomical site where melanoma develops. Objective(s): We examined associations with melanoma by anatomical site for a comprehensive set of risk factors including pigmentary and naevus phenotypes, ultraviolet radiation exposure and polygenic risk. Method(s): We analysed harmonized data from 2617 people with incident first invasive melanoma and 975 healthy controls recruited through two population-based case-control studies in Australia and the UK. Questionnaire data were collected by interview using a single protocol, and pathway-specific polygenic risk scores were derived from DNA samples. We estimated adjusted odds ratios using unconditional logistic regression that compared melanoma cases at each anatomical site with all controls. Result(s): When cases were compared with control participants, there were stronger associations for many naevi vs. no naevi for melanomas on the trunk, and upper and lower limbs than on the head and neck (P-heterogeneity < 0.001). Very fair skin (vs. olive/brown skin) was more weakly related to melanoma on the trunk than to melanomas at other sites (P-heterogeneity = 0.04). There was no significant difference by anatomical site for polygenic risk. Increased weekday sun exposure was positively associated with melanoma on the head and neck but not on other sites. Conclusion(s): We found evidence of aetiological heterogeneity for melanoma, supporting the dual pathway hypothesis. These findings enhance understanding of risk factors for melanoma and can guide prevention and skin examination education and practices.Copyright © 2020 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.

Published
2021

6. Response to Li and Hopper.

Author

Thomas M., Sakoda L.C., Hoffmeister M., Rosenthal E.A., Lee J.K., van Duijnhoven F.J.B., Platz E.A., Wu A.H., Dampier C.H., de la Chapelle A., Wolk A., Joshi A.D., Burnett-Hartman A., Gsur A., Lindblom A., Castells A., Win A.K., Namjou B., Van Guelpen B., Tangen C.M., He Q., Li C.I., Schafmayer C., Joshu C.E., Ulrich C.M., Bishop D.T., Buchanan D.D., Schaid D., Drew D.A., Muller D.C., Duggan D., Crosslin D.R., Albanes D., Giovannucci E.L., Larson E., Qu F., Mentch F., Giles G.G., Hakonarson H., Hampel H., Stanaway I.B., Figueiredo J.C., Huyghe J.R., Minnier J., Chang-Claude J., Hampe J., Harley J.B., Visvanathan K., Curtis K.R., Offit K., Li L., Le Marchand L., Vodickova L., Gunter M.J., Jenkins M.A., Slattery M.L., Lemire M., Woods M.O., Song M., Murphy N., Lindor N.M., Dikilitas O., Pharoah P.D.P., Campbell P.T., Newcomb P.A., Milne R.L., MacInnis R.J., Castellvi-Bel S., Ogino S., Berndt S.I., Bezieau S., Thibodeau S.N., Gallinger S.J., Zaidi S.H., Harrison T.A., Keku T.O., Hudson T.J., Vymetalkova V., Moreno V., Martin V., Arndt V., Wei W.-Q., Chung W., Su Y.-R., Hayes R.B., White E., Vodicka P., Casey G., Gruber S.B., Schoen R.E., Chan A.T., Potter J.D., Brenner H., Jarvik G.P., Corley D.A., Peters U., Hsu L., Thomas M., Sakoda L.C., Hoffmeister M., Rosenthal E.A., Lee J.K., van Duijnhoven F.J.B., Platz E.A., Wu A.H., Dampier C.H., de la Chapelle A., Wolk A., Joshi A.D., Burnett-Hartman A., Gsur A., Lindblom A., Castells A., Win A.K., Namjou B., Van Guelpen B., Tangen C.M., He Q., Li C.I., Schafmayer C., Joshu C.E., Ulrich C.M., Bishop D.T., Buchanan D.D., Schaid D., Drew D.A., Muller D.C., Duggan D., Crosslin D.R., Albanes D., Giovannucci E.L., Larson E., Qu F., Mentch F., Giles G.G., Hakonarson H., Hampel H., Stanaway I.B., Figueiredo J.C., Huyghe J.R., Minnier J., Chang-Claude J., Hampe J., Harley J.B., Visvanathan K., Curtis K.R., Offit K., Li L., Le Marchand L., Vodickova L., Gunter M.J., Jenkins M.A., Slattery M.L., Lemire M., Woods M.O., Song M., Murphy N., Lindor N.M., Dikilitas O., Pharoah P.D.P., Campbell P.T., Newcomb P.A., Milne R.L., MacInnis R.J., Castellvi-Bel S., Ogino S., Berndt S.I., Bezieau S., Thibodeau S.N., Gallinger S.J., Zaidi S.H., Harrison T.A., Keku T.O., Hudson T.J., Vymetalkova V., Moreno V., Martin V., Arndt V., Wei W.-Q., Chung W., Su Y.-R., Hayes R.B., White E., Vodicka P., Casey G., Gruber S.B., Schoen R.E., Chan A.T., Potter J.D., Brenner H., Jarvik G.P., Corley D.A., Peters U., and Hsu L.

Published
2021

7. Genetically predicted circulating c-reactive protein concentration and colorectal cancer survival: A mendelian randomization consortium study.

Author

Hua X., Dai J.Y., Lindstrom S., Harrison T.A., Lin Y., Alberts S.R., Alwers E., Berndt S.I., Brenner H., Buchanan D.D., Campbell P.T., Casey G., Chang-Claude J., Gallinger S., Giles G.G., Goldberg R.M., Gunter M.J., Hoffmeister M., Jenkins M.A., Joshi A.D., Ma W., Milne R.L., Murphy N., Pai R.K., Sakoda L.C., Schoen R.E., Shi Q., Slattery M.L., Song M., White E., Le Marchand L., Chan A.T., Peters U., Newcomb P.A., Hua X., Dai J.Y., Lindstrom S., Harrison T.A., Lin Y., Alberts S.R., Alwers E., Berndt S.I., Brenner H., Buchanan D.D., Campbell P.T., Casey G., Chang-Claude J., Gallinger S., Giles G.G., Goldberg R.M., Gunter M.J., Hoffmeister M., Jenkins M.A., Joshi A.D., Ma W., Milne R.L., Murphy N., Pai R.K., Sakoda L.C., Schoen R.E., Shi Q., Slattery M.L., Song M., White E., Le Marchand L., Chan A.T., Peters U., and Newcomb P.A.

Abstract

Background: A positive association between circulating Creactive protein (CRP) and colorectal cancer survival was reported in observational studies, which are susceptible to unmeasured confounding and reverse causality.Weused a Mendelian randomization approach to evaluate the association between genetically predicted CRP concentrations and colorectal cancer-specific survival. Method(s): We used individual-level data for 16,918 eligible colorectal cancer cases of European ancestry from 15 studies within the International Survival Analysis of Colorectal Cancer Consortium. Wecalculated a genetic-risk score based on 52 CRP-associated genetic variants identified from genome-wide association studies. Because of the non-collapsibility of hazard ratios from Cox proportional hazards models, we used the additive hazards model to calculate hazard differences (HD) and 95% confidence intervals (CI) for the association between genetically predicted CRP concentrations and colorectal cancer-specific survival, overall and by stage at diagnosis and tumor location. Analyses were adjusted for age at diagnosis, sex, body mass index, genotyping platform, study, and principal components. Result(s): Of the 5,395 (32%) deaths accrued over up to 10 years of follow-up, 3,808 (23%) were due to colorectal cancer. Genetically predicted CRP concentration was not associated with colorectal cancer-specific survival (HD, 1.15; 95% CI, 2.76 to 0.47 per 100,000 person-years; P = 0.16). Similarly, no associations were observed in subgroup analyses by stage at diagnosis or tumor location. Conclusion(s): Despite adequate power to detect moderate associations, our results did not support a causal effect of circulating CRP concentrations on colorectal cancer-specific survival.Copyright © 2021 American Association for Cancer Research Inc.. All rights reserved.

Published
2021

8. Risk factors for melanoma by anatomical site: an evaluation of aetiological heterogeneity.

Author

Armstrong B.K., Laskar R., Ferreiro-Iglesias A., Kanetsky P.A., Law M.H., Goldstein A.M., Robbins H.A., Mann G.J., Cust A.E., Schmid H., Hopper J.L., Aitken J.F., Randerson-Moor J., Harland M., Taylor J.C., Whittaker L., Kukalizch K., Leake S., Karpavicius B., Haynes S., Mack T., Chan M., Taylor Y., Davies J., King P., Barrett J.H., Giles G.G., Holland E., Kefford R.F., Jenkins M.A., Newton Bishop J.A., Affleck P., Bishop D.T., Harrison J., Iles M.M., Armstrong B.K., Laskar R., Ferreiro-Iglesias A., Kanetsky P.A., Law M.H., Goldstein A.M., Robbins H.A., Mann G.J., Cust A.E., Schmid H., Hopper J.L., Aitken J.F., Randerson-Moor J., Harland M., Taylor J.C., Whittaker L., Kukalizch K., Leake S., Karpavicius B., Haynes S., Mack T., Chan M., Taylor Y., Davies J., King P., Barrett J.H., Giles G.G., Holland E., Kefford R.F., Jenkins M.A., Newton Bishop J.A., Affleck P., Bishop D.T., Harrison J., and Iles M.M.

Abstract

Background: Melanoma aetiology has been proposed to have two pathways, which are determined by naevi and type of sun exposure and related to the anatomical site where melanoma develops. Objective(s): We examined associations with melanoma by anatomical site for a comprehensive set of risk factors including pigmentary and naevus phenotypes, ultraviolet radiation exposure and polygenic risk. Method(s): We analysed harmonized data from 2617 people with incident first invasive melanoma and 975 healthy controls recruited through two population-based case-control studies in Australia and the UK. Questionnaire data were collected by interview using a single protocol, and pathway-specific polygenic risk scores were derived from DNA samples. We estimated adjusted odds ratios using unconditional logistic regression that compared melanoma cases at each anatomical site with all controls. Result(s): When cases were compared with control participants, there were stronger associations for many naevi vs. no naevi for melanomas on the trunk, and upper and lower limbs than on the head and neck (P-heterogeneity < 0.001). Very fair skin (vs. olive/brown skin) was more weakly related to melanoma on the trunk than to melanomas at other sites (P-heterogeneity = 0.04). There was no significant difference by anatomical site for polygenic risk. Increased weekday sun exposure was positively associated with melanoma on the head and neck but not on other sites. Conclusion(s): We found evidence of aetiological heterogeneity for melanoma, supporting the dual pathway hypothesis. These findings enhance understanding of risk factors for melanoma and can guide prevention and skin examination education and practices.Copyright © 2020 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.

Published
2021

9. Dna methylation signatures and the contribution of age-associated methylomic drift to carcinogenesis in early-onset colorectal cancer.

Author

Joo J.E., Clendenning M., Wong E.M., Rosty C., Mahmood K., Georgeson P., Winship I.M., Preston S.G., Win A.K., Dugue P.-A., Jayasekara H., English D., Macrae F.A., Hopper J.L., Jenkins M.A., Milne R.L., Giles G.G., Southey M.C., Buchanan D.D., Joo J.E., Clendenning M., Wong E.M., Rosty C., Mahmood K., Georgeson P., Winship I.M., Preston S.G., Win A.K., Dugue P.-A., Jayasekara H., English D., Macrae F.A., Hopper J.L., Jenkins M.A., Milne R.L., Giles G.G., Southey M.C., and Buchanan D.D.

Abstract

We investigated aberrant DNA methylation (DNAm) changes and the contribution of ageing-associated methylomic drift and age acceleration to early-onset colorectal cancer (EOCRC) carcinogenesis. Genome-wide DNAm profiling using the Infinium HM450K on 97 EOCRC tumour and 54 normal colonic mucosa samples was compared with: (1) intermediate-onset CRC (IOCRC; diagnosed between 50-70 years; 343 tumour and 35 normal); and (2) late-onset CRC (LOCRC; >70 years; 318 tumour and 40 normal). CpGs associated with age-related methylation drift were identified using a public dataset of 231 normal mucosa samples from people without CRC. DNAm-age was estimated using epiTOC2. Common to all three age-of-onset groups, 88,385 (20% of all CpGs) CpGs were differentially methylated between tumour and normal mucosa. We identified 234 differentially methylated genes that were unique to the EOCRC group; 13 of these DMRs/genes were replicated in EOCRC compared with LOCRCs from TCGA. In normal mucosa from people without CRC, we identified 28,154 CpGs that undergo ageing-related DNAm drift, and of those, 65% were aberrantly methylated in EOCRC tumours. Based on the mitotic-based DNAm clock epiTOC2, we identified age acceleration in normal mucosa of people with EOCRC compared with normal mucosa from the IOCRC, LOCRC groups (p = 3.7 x 10-16) and young people without CRC (p = 5.8 x 10-6). EOCRC acquires unique DNAm alterations at 234 loci. CpGs associated with ageing-associated drift were widely affected in EOCRC without needing the decades-long accrual of DNAm drift as commonly seen in intermediate-and late-onset CRCs. Accelerated ageing in normal mucosa from people with EOCRC potentially underlies the earlier age of diagnosis in CRC carcinogenesis.Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Published
2021

10. Association of body mass index with colorectal cancer risk by genome-wide variants.

Author

Giles G.G., Lin Y., Bien S.A., Figueiredo J.C., Harrison T.A., Guinter M.A., Berndt S.I., Brenner H., Chan A.T., Chang-Claude J., Gallinger S.J., Gapstur S.M., Campbell P.T., Giovannucci E., Gruber S.B., Gunter M., Ogino S., Potter J.D., Rennert G., Rennert H.S., Robinson J., Sakoda L.C., Slattery M.L., Song Y., White E., Woods M.O., Casey G., Hsu L., Peters U., Hoffmeister M., Jacobs E.J., Jenkins M.A., Le Marchand L., Li L., McLaughlin J.R., Murphy N., Milne R.L., Newcomb P.A., Newton C., Giles G.G., Lin Y., Bien S.A., Figueiredo J.C., Harrison T.A., Guinter M.A., Berndt S.I., Brenner H., Chan A.T., Chang-Claude J., Gallinger S.J., Gapstur S.M., Campbell P.T., Giovannucci E., Gruber S.B., Gunter M., Ogino S., Potter J.D., Rennert G., Rennert H.S., Robinson J., Sakoda L.C., Slattery M.L., Song Y., White E., Woods M.O., Casey G., Hsu L., Peters U., Hoffmeister M., Jacobs E.J., Jenkins M.A., Le Marchand L., Li L., McLaughlin J.R., Murphy N., Milne R.L., Newcomb P.A., and Newton C.

Abstract

Background: Body mass index (BMI) is a complex phenotype that may interact with genetic variants to influence colorectal cancer risk. Method(s): We tested multiplicative statistical interactions between BMI (per 5 kg/m2) and approximately 2.7 million single nucleotide polymorphisms with colorectal cancer risk among 14 059 colorectal cancer case (53.2% women) and 14 416 control (53.8% women) participants. All analyses were stratified by sex a priori. Statistical methods included 2-step (ie, Cocktail method) and single-step (ie, case-control logistic regression and a joint 2-degree of freedomtest) procedures. All statistical tests were two-sided. Result(s): Each 5 kg/m2 increase in BMI was associated with higher risks of colorectal cancer, less so for women (odds ratio [OR] = 1.14, 95% confidence intervals [CI] = 1.11 to 1.18; P = 9.75 x 10-17) than for men (OR = 1.26, 95% CI = 1.20 to 1.32; P = 2.13 x 10-24). The 2-step Cocktail method identified an interaction for women, but not men, between BMI and a SMAD7 intronic variant at 18q21.1 (rs4939827; Pobserved = .0009; Pthreshold = .005). A joint 2-degree of freedom test was consistent with this finding for women (joint P = 2.43 x 10-10). Each 5 kg/m2 increase in BMI was more strongly associated with colorectal cancer risk for women with the rs4939827-CC genotype (OR = 1.24, 95% CI = 1.16 to 1.32; P = 2.60 x 10-10) than for women with the CT (OR = 1.14, 95% CI = 1.09 to 1.19; P = 1.04 x 10-8) or TT (OR = 1.07, 95% CI = 1.01 to 1.14; P = .02) genotypes. Conclusion(s): These results provide novel insights on a potential mechanism through which a SMAD7 variant, previously identified as a susceptibility locus for colorectal cancer, and BMI may influence colorectal cancer risk for women.Copyright © The Author(s) 2020.

Published
2021

11. Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: a Mendelian randomization study.

Author

Hampe J., Zuber V., Cross A.J., Perez-Cornago A., Hunter D.J., van Duijnhoven F.J.B., Albanes D., Arndt V., Berndt S.I., Bezieau S., Bishop D.T., Boehm J., Brenner H., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Goodman P.J., Gsur A., Markozannes G., Hampel H., Hoffmeister M., Jenkins M.A., Keku T.O., Kweon S.-S., Larsson S.C., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Nan H., Nassir R., Newcomb P.A., Offit K., Pharoah P.D.P., Platz E.A., Potter J.D., Qi L., Rennert G., Sakoda L.C., Schafmayer C., Slattery M.L., Snetselaar L., Schenk J., Thibodeau S.N., Ulrich C.M., Van Guelpen B., Harlid S., Visvanathan K., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Bueno-de-Mesquita B., Boutron-Ruault M.-C., Hughes D.J., Jakszyn P., Kuhn T., Palli D., Riboli E., Giovannucci E.L., Banbury B.L., Gruber S.B., Peters U., Gunter M.J., Tsilidis K.K., Papadimitriou N., Dimou N., Gill D., Lewis S.J., Martin R.M., Murphy N., Burrows K., Lopez D.S., Key T.J., Travis R.C., Hampe J., Zuber V., Cross A.J., Perez-Cornago A., Hunter D.J., van Duijnhoven F.J.B., Albanes D., Arndt V., Berndt S.I., Bezieau S., Bishop D.T., Boehm J., Brenner H., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Goodman P.J., Gsur A., Markozannes G., Hampel H., Hoffmeister M., Jenkins M.A., Keku T.O., Kweon S.-S., Larsson S.C., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Nan H., Nassir R., Newcomb P.A., Offit K., Pharoah P.D.P., Platz E.A., Potter J.D., Qi L., Rennert G., Sakoda L.C., Schafmayer C., Slattery M.L., Snetselaar L., Schenk J., Thibodeau S.N., Ulrich C.M., Van Guelpen B., Harlid S., Visvanathan K., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Bueno-de-Mesquita B., Boutron-Ruault M.-C., Hughes D.J., Jakszyn P., Kuhn T., Palli D., Riboli E., Giovannucci E.L., Banbury B.L., Gruber S.B., Peters U., Gunter M.J., Tsilidis K.K., Papadimitriou N., Dimou N., Gill D., Lewis S.J., Martin R.M., Murphy N., Burrows K., Lopez D.S., Key T.J., and Travis R.C.

Abstract

BACKGROUND: The literature on associations of circulating concentrations of minerals and vitamins with risk of colorectal cancer is limited and inconsistent. Evidence from randomized controlled trials (RCTs) to support the efficacy of dietary modification or nutrient supplementation for colorectal cancer prevention is also limited. OBJECTIVE(S): To complement observational and RCT findings, we investigated associations of genetically predicted concentrations of 11 micronutrients (beta-carotene, calcium, copper, folate, iron, magnesium, phosphorus, selenium, vitamin B-6, vitamin B-12, and zinc) with colorectal cancer risk using Mendelian randomization (MR). METHOD(S): Two-sample MR was conducted using 58,221 individuals with colorectal cancer and 67,694 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry. Inverse variance-weighted MR analyses were performed with sensitivity analyses to assess the impact of potential violations of MR assumptions. RESULT(S): Nominally significant associations were noted for genetically predicted iron concentration and higher risk of colon cancer [ORs per SD (ORSD): 1.08; 95% CI: 1.00, 1.17; P value=0.05] and similarly for proximal colon cancer, and for vitamin B-12 concentration and higher risk of colorectal cancer (ORSD: 1.12; 95% CI: 1.03, 1.21; P value=0.01) and similarly for colon cancer. A nominally significant association was also noted for genetically predicted selenium concentration and lower risk of colon cancer (ORSD: 0.98; 95% CI: 0.96, 1.00; P value=0.05) and similarly for distal colon cancer. These associations were robust to sensitivity analyses. Nominally significant inverse associations were observed for zinc and risk of colorectal and distal colon cancers, but sensitivity analyses could not be performed. None of these findings survived correction for multiple testing. Genetically predicted concentrations of beta-caroten

Published
2021

12. Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: A Mendelian randomization study.

Author

Tsilidis K.K., Papadimitriou N., Dimou N., Gill D., Lewis S.J., Martin R.M., Murphy N., Markozannes G., Zuber V., Cross A.J., Burrows K., Lopez D.S., Key T.J., Travis R.C., Perez-Cornago A., Hunter D.J., Van Duijnhoven F.J.B., Albanes D., Arndt V., Berndt S.I., Bezieau S., Bishop D.T., Boehm J., Brenner H., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., De La Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Goodman P.J., Gsur A., Hampe J., Hampel H., Hoffmeister M., Jenkins M.A., Keku T.O., Kweon S.-S., Larsson S.C., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Nan H., Nassir R., Newcomb P.A., Offit K., Pharoah P.D.P., Platz E.A., Potter J.D., Qi L., Rennert G., Sakoda L.C., Schafmayer C., Slattery M.L., Snetselaar L., Schenk J., Thibodeau S.N., Ulrich C.M., Van Guelpen B., Harlid S., Visvanathan K., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Bueno-De-Mesquita B., Boutron-Ruault M.-C., Hughes D.J., Jakszyn P., Kuhn T., Palli D., Riboli E., Giovannucci E.L., Banbury B.L., Gruber S.B., Peters U., Gunter M.J., Tsilidis K.K., Papadimitriou N., Dimou N., Gill D., Lewis S.J., Martin R.M., Murphy N., Markozannes G., Zuber V., Cross A.J., Burrows K., Lopez D.S., Key T.J., Travis R.C., Perez-Cornago A., Hunter D.J., Van Duijnhoven F.J.B., Albanes D., Arndt V., Berndt S.I., Bezieau S., Bishop D.T., Boehm J., Brenner H., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., De La Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Goodman P.J., Gsur A., Hampe J., Hampel H., Hoffmeister M., Jenkins M.A., Keku T.O., Kweon S.-S., Larsson S.C., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Nan H., Nassir R., Newcomb P.A., Offit K., Pharoah P.D.P., Platz E.A., Potter J.D., Qi L., Rennert G., Sakoda L.C., Schafmayer C., Slattery M.L., Snetselaar L., Schenk J., Thibodeau S.N., Ulrich C.M., Van Guelpen B., Harlid S., Visvanathan K., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Bueno-De-Mesquita B., Boutron-Ruault M.-C., Hughes D.J., Jakszyn P., Kuhn T., Palli D., Riboli E., Giovannucci E.L., Banbury B.L., Gruber S.B., Peters U., and Gunter M.J.

Abstract

Background: The literature on associations of circulating concentrations of minerals and vitamins with risk of colorectal cancer is limited and inconsistent. Evidence from randomized controlled trials (RCTs) to support the efficacy of dietary modification or nutrient supplementation for colorectal cancer prevention is also limited. Objective(s): To complement observational and RCT findings, we investigated associations of genetically predicted concentrations of 11 micronutrients (beta-carotene, calcium, copper, folate, iron, magnesium, phosphorus, selenium, vitamin B-6, vitamin B-12, and zinc) with colorectal cancer risk using Mendelian randomization (MR). Method(s): Two-sample MR was conducted using 58,221 individuals with colorectal cancer and 67,694 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry. Inverse variance-weighted MR analyses were performed with sensitivity analyses to assess the impact of potential violations of MR assumptions. Result(s): Nominally significant associations were noted for genetically predicted iron concentration and higher risk of colon cancer [ORs per SD (ORSD): 1.08 95% CI: 1.00, 1.17 P value = 0.05] and similarly for proximal colon cancer, and for vitamin B-12 concentration and higher risk of colorectal cancer (ORSD: 1.12 95% CI: 1.03, 1.21 P value = 0.01) and similarly for colon cancer. A nominally significant association was also noted for genetically predicted selenium concentration and lower risk of colon cancer (ORSD: 0.98 95% CI: 0.96, 1.00 P value = 0.05) and similarly for distal colon cancer. These associations were robust to sensitivity analyses. Nominally significant inverse associations were observed for zinc and risk of colorectal and distal colon cancers, but sensitivity analyses could not be performed. None of these findings survived correction for multiple testing. Genetically predicted concentrations of beta-caroten

Published
2021

13. Postmenopausal hormone therapy and colorectal cancer risk by molecularly defined subtypes and tumor location.

Author

Labadie J.D., Harrison T.A., Banbury B., Amtay E.L., Bernd S., Brenner H., Buchanan D.D., Campbell P.T., Cao Y., Chan A.T., Chang-Claude J., Englishc D., Figueiredo J.C., Gallingerc S.J., Gilesc G.G., Gunter M.J., Hoffmeisterc M., Hsu L., Jenkins M.A., Lin Y., Milnec R.L., Moreno V., Murphyc N., Ogino S., Phipps A.I., Sakoda L.C., Slattery M.L., Southey M.C., Sun W., Thibodeau S.N., Van Guelpen B., Zaidi S.H., Peters U., Newcomb P.A., Labadie J.D., Harrison T.A., Banbury B., Amtay E.L., Bernd S., Brenner H., Buchanan D.D., Campbell P.T., Cao Y., Chan A.T., Chang-Claude J., Englishc D., Figueiredo J.C., Gallingerc S.J., Gilesc G.G., Gunter M.J., Hoffmeisterc M., Hsu L., Jenkins M.A., Lin Y., Milnec R.L., Moreno V., Murphyc N., Ogino S., Phipps A.I., Sakoda L.C., Slattery M.L., Southey M.C., Sun W., Thibodeau S.N., Van Guelpen B., Zaidi S.H., Peters U., and Newcomb P.A.

Abstract

Background: Postmenopausal hormone therapy (HT) is associated with a decreased colorectal cancer (CRC) risk. As CRC is a heterogeneous disease, we evaluated whether the association of HT and CRC differs across etiologically relevant, molecularly defined tumor subtypes and tumor location. Method(s): We pooled data on tumor subtypes (microsatellite instability status, CpG island methylator phenotype status, BRAF and KRAS mutations, pathway: Adenoma-carcinoma, alternate, serrated), tumor location (proximal colon, distal colon, rectum), and HT use among 8220 postmenopausal women (3898 CRC cases and 4322 controls) from 8 observational studies. We used multinomial logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CIs) for the association of ever vs never HT use with each tumor subtype compared with controls. Models were adjusted for study, age, body mass index, smoking status, and CRC family history. All statistical tests were 2- sided. Result(s): Among postmenopausal women, ever HT use was associated with a 38% reduction in overall CRC risk (OR =0.62, 95% CI = 0.56 to 0.69). This association was similar according to microsatellite instability, CpG island methylator phenotype and BRAF or KRAS status. However, the association was attenuated for tumors arising through the serrated pathway (OR = 0.81, 95% CI = 0.66 to 1.01) compared with the adenoma-carcinoma pathway (OR = 0.63, 95% CI = 0.55 to 0.73; Phet =.04) and alternate pathway (OR = 0.61, 95% CI = 0.51 to 0.72). Additionally, proximal colon tumors had a weaker association (OR = 0.71, 95% CI = 0.62 to 0.80) compared with rectal (OR = 0.54, 95% CI = 0.46 to 0.63) and distal colon (OR = 0.57, 95% CI = 0.49 to 0.66; Phet =.01) tumors. Conclusion(s): We observed a strong inverse association between HT use and overall CRC risk, which may predominantly reflect a benefit of HT use for tumors arising through the adenoma-carcinoma and alternate pathways as well as distal colon and rectal tumors.Copy

Published
2021

14. Tetranucleotide and low microsatellite instability are inversely associated with the cpg island methylator phenotype in colorectal cancer.

Author

Meessen S., Currey N., Jahan Z., Parker H.W., Jenkins M.A., Buchanan D.D., Hopper J.L., Segelov E., Dahlstrom J.E., Kohonen-Corish M.R.J., Meessen S., Currey N., Jahan Z., Parker H.W., Jenkins M.A., Buchanan D.D., Hopper J.L., Segelov E., Dahlstrom J.E., and Kohonen-Corish M.R.J.

Abstract

MSH3 gene or protein deficiency or loss-of-function in colorectal cancer can cause a DNA mismatch repair defect known as "elevated microsatellite alterations at selected tetranucleotide repeats" (EMAST). A high percentage of MSI-H tumors exhibit EMAST, while MSI-L is also linked with EMAST. However, the distribution of CpG island methylator phenotype (CIMP) within the EMAST spectrum is not known. Five tetranucleotide repeat and five MSI markers were used to classify 100 sporadic colorectal tumours for EMAST, MSI-H and MSI-L according to the number of unstable markers detected. Promoter methylation was determined using methylation-specific PCR for MSH3, MCC, CDKN2A (p16) and five CIMP marker genes. EMAST was found in 55% of sporadic colorectal carcinomas. Carcinomas with only one positive marker (EMAST-1/5, 26%) were associated with advanced tumour stage, increased lymph node metastasis, MSI-L and lack of CIMP-H. EMAST-2/5 (16%) carcinomas displayed some methylation but MSI was rare. Carcinomas with >=3 positive EMAST markers (13%) were more likely to have a proximal colon location and be MSI-H and CIMP-H. Our study suggests that EMAST/MSI-L is a valuable prognostic and predictive marker for colorectal carcinomas that do not display the high methylation phenotype CIMP-H.Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Published
2021

15. Novel mammogram-based measures improve breast cancer risk prediction beyond an established mammographic density measure.

Author

Southey M.C., Maskarinec G., Jenkins M.A., Milne R.L., Giles G.G., Hopper J.L., Nguyen T.L., Schmidt D.F., Makalic E., Li S., Dite G.S., Aung Y.K., Evans C.F., Trinh H.N., Baglietto L., Stone J., Song Y.-M., Sung J., MacInnis R.J., Dugue P.-A., Dowty J.G., Southey M.C., Maskarinec G., Jenkins M.A., Milne R.L., Giles G.G., Hopper J.L., Nguyen T.L., Schmidt D.F., Makalic E., Li S., Dite G.S., Aung Y.K., Evans C.F., Trinh H.N., Baglietto L., Stone J., Song Y.-M., Sung J., MacInnis R.J., Dugue P.-A., and Dowty J.G.

Abstract

Mammograms contain information that predicts breast cancer risk. We developed two novel mammogram-based breast cancer risk measures based on image brightness (Cirrocumulus) and texture (Cirrus). Their risk prediction when fitted together, and with an established measure of conventional mammographic density (Cumulus), is not known. We used three studies consisting of: 168 interval cases and 498 matched controls; 422 screen-detected cases and 1197 matched controls; and 354 younger-diagnosis cases and 944 controls frequency-matched for age at mammogram. We conducted conditional and unconditional logistic regression analyses of individually- and frequency-matched studies, respectively. We estimated measure-specific risk gradients as the change in odds per standard deviation of controls after adjusting for age and body mass index (OPERA) and calculated the area under the receiver operating characteristic curve (AUC). For interval, screen-detected and younger-diagnosis cancer risks, the best fitting models (OPERAs [95% confidence intervals]) involved: Cumulus (1.81 [1.41-2.31]) and Cirrus (1.72 [1.38-2.14]); Cirrus (1.49 [1.32-1.67]) and Cirrocumulus (1.16 [1.03 to 1.31]); and Cirrus (1.70 [1.48 to 1.94]) and Cirrocumulus (1.46 [1.27-1.68]), respectively. The AUCs were: 0.73 [0.68-0.77], 0.63 [0.60-0.66], and 0.72 [0.69-0.75], respectively. Combined, our new mammogram-based measures have twice the risk gradient for screen-detected and younger-diagnosis breast cancer (P <= 10-12), have at least the same discriminatory power as the current polygenic risk score, and are more correlated with causal factors than conventional mammographic density. Discovering more information about breast cancer risk from mammograms could help enable risk-based personalised breast screening.Copyright © 2020 UICC

Published
2021

16. 开发一种新方法来计算个体的黑色素瘤风险

Author

Vuong, K., primary, Armstrong, B.K., additional, Drummond, M., additional, Hopper, J.L., additional, Barrett, J.H., additional, Davies, J.R., additional, Bishop, D.T., additional, Newton‐Bishop, J., additional, Aitken, J.F., additional, Giles, G.G., additional, Schmid, H., additional, Jenkins, M.A., additional, Mann, G.J., additional, McGeechan, K., additional, and Cust, A.E., additional

Published
2020
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17. Development of a new method to calculate individuals’ melanoma risk

Author

Vuong, K., primary, Armstrong, B.K., additional, Drummond, M., additional, Hopper, J.L., additional, Barrett, J.H., additional, Davies, J.R., additional, Bishop, D.T., additional, Newton‐Bishop, J., additional, Aitken, J.F., additional, Giles, G.G., additional, Schmid, H., additional, Jenkins, M.A., additional, Mann, G.J., additional, McGeechan, K., additional, and Cust, A.E., additional

Published
2020
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18. Circulating bilirubin levels and risk of colorectal cancer: Serological and Mendelian randomization analyses

Author

Seyed Khoei, N. Jenab, M. Murphy, N. Banbury, B.L. Carreras-Torres, R. Viallon, V. Kühn, T. Bueno-De-Mesquita, B. Aleksandrova, K. Cross, A.J. Weiderpass, E. Stepien, M. Bulmer, A. Tjønneland, A. Boutron-Ruault, M.-C. Severi, G. Carbonnel, F. Katzke, V. Boeing, H. Bergmann, M.M. Trichopoulou, A. Karakatsani, A. Martimianaki, G. Palli, D. Tagliabue, G. Panico, S. Tumino, R. Sacerdote, C. Skeie, G. Merino, S. Bonet, C. Rodríguez-Barranco, M. Gil, L. Chirlaque, M.-D. Ardanaz, E. Myte, R. Hultdin, J. Perez-Cornago, A. Aune, D. Tsilidis, K.K. Albanes, D. Baron, J.A. Berndt, S.I. Bézieau, S. Brenner, H. Campbell, P.T. Casey, G. Chan, A.T. Chang-Claude, J. Chanock, S.J. Cotterchio, M. Gallinger, S. Gruber, S.B. Haile, R.W. Hampe, J. Hoffmeister, M. Hopper, J.L. Hsu, L. Huyghe, J.R. Jenkins, M.A. Joshi, A.D. Kampman, E. Larsson, S.C. Le Marchand, L. Li, C.I. Li, L. Lindblom, A. Lindor, N.M. Martín, V. Moreno, V. Newcomb, P.A. Offit, K. Ogino, S. Parfrey, P.S. Pharoah, P.D.P. Rennert, G. Sakoda, L.C. Schafmayer, C. Schmit, S.L. Schoen, R.E. Slattery, M.L. Thibodeau, S.N. Ulrich, C.M. Van Duijnhoven, F.J.B. Weigl, K. Weinstein, S.J. White, E. Wolk, A. Woods, M.O. Wu, A.H. Zhang, X. Ferrari, P. Anton, G. Peters, A. Peters, U. Gunter, M.J. Wagner, K.-H. Freisling, H.

Abstract

Background: Bilirubin, a byproduct of hemoglobin breakdown and purported anti-oxidant, is thought to be cancer preventive. We conducted complementary serological and Mendelian randomization (MR) analyses to investigate whether alterations in circulating levels of bilirubin are associated with risk of colorectal cancer (CRC). We decided a priori to perform analyses separately in men and women based on suggestive evidence that associations may differ by sex. Methods: In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC), pre-diagnostic unconjugated bilirubin (UCB, the main component of total bilirubin) concentrations were measured by high-performance liquid chromatography in plasma samples of 1386 CRC cases and their individually matched controls. Additionally, 115 single-nucleotide polymorphisms (SNPs) robustly associated (P < 5 × 10-8) with circulating total bilirubin were instrumented in a 2-sample MR to test for a potential causal effect of bilirubin on CRC risk in 52,775 CRC cases and 45,940 matched controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colon Cancer Family Registry (CCFR), and the Colorectal Transdisciplinary (CORECT) study. Results: The associations between circulating UCB levels and CRC risk differed by sex (P heterogeneity = 0.008). Among men, higher levels of UCB were positively associated with CRC risk (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.04-1.36; per 1-SD increment of log-UCB). In women, an inverse association was observed (OR = 0.86 (0.76-0.97)). In the MR analysis of the main UGT1A1 SNP (rs6431625), genetically predicted higher levels of total bilirubin were associated with a 7% increase in CRC risk in men (OR = 1.07 (1.02-1.12); P = 0.006; per 1-SD increment of total bilirubin), while there was no association in women (OR = 1.01 (0.96-1.06); P = 0.73). Raised bilirubin levels, predicted by instrumental variables excluding rs6431625, were suggestive of an inverse association with CRC in men, but not in women. These differences by sex did not reach formal statistical significance (P heterogeneity ≥ 0.2). Conclusions: Additional insight into the relationship between circulating bilirubin and CRC is needed in order to conclude on a potential causal role of bilirubin in CRC development. © 2020 The Author(s).

Published
2020

19. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses

Author

Seyed Khoei, N., Jenab, M., Murphy, N., Banbury, B.L., Carreras-Torres, R., Viallon, V., Kühn, T., Bueno-de-Mesquita, B., Aleksandrova, K., Cross, A.J., Weiderpass, E., Stepien, M., Bulmer, A., Tjønneland, A., Boutron-Ruault, M.C., Severi, G., Carbonnel, F., Katzke, V., Boeing, H., Bergmann, M.M., Trichopoulou, A., Karakatsani, A., Martimianaki, G., Palli, D., Tagliabue, G., Panico, S., Tumino, R., Sacerdote, C., Skeie, G., Merino, S., Bonet, C., Rodríguez-Barranco, M., Gil, L., Chirlaque, M.D., Ardanaz, E., Myte, R., Hultdin, J., Perez-Cornago, A., Aune, D., Tsilidis, K.K., Albanes, D., Baron, J.A., Berndt, S.I., Bézieau, S., Brenner, H., Campbell, P.T., Casey, G., Chang-Claude, J., Chanock, S.J., Cotterchio, M., Gallinger, S., Gruber, S.B., Haile, R.W., Hampe, J., Hoffmeister, M., Hopper, J.L., Hsu, L., Huyghe, J.R., Jenkins, M.A., Joshi, A.D., Kampman, E., Larsson, S.C., Le Marchand, L., Li, C.I., Li, L., Lindblom, A., Lindor, N.M., Martín, V., Moreno, V., Newcomb, P.A., Offit, K., Ogino, S., Parfrey, P.S., Pharoah, P.D.P., Rennert, G., Sakoda, L.C., Schafmayer, C., Schmit, S.L., Schoen, R.E., Slattery, M.L., Thibodeau, S.N., Ulrich, C.M., van Duijnhoven, F.J.B., Weigl, K., Weinstein, S.J., White, E., Wolk, A., Woods, M.O., Wu, A.H., Zhang, X., Ferrari, P., Anton, G., Peters, A., Peters, U., Gunter, M.J., Wagner, K.H., and Freisling, H.

Subjects
Bilirubin, Cancer, Colorectal Cancer, Anti-oxidants, Mendelian Randomization Analysis
Abstract

Background Bilirubin, a byproduct of hemoglobin breakdown and purported anti-oxidant, is thought to be cancer preventive. We conducted complementary serological and Mendelian randomization (MR) analyses to investigate whether alterations in circulating levels of bilirubin are associated with risk of colorectal cancer (CRC). We decided a priori to perform analyses separately in men and women based on suggestive evidence that associations may differ by sex. Methods In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC), pre-diagnostic unconjugated bilirubin (UCB, the main component of total bilirubin) concentrations were measured by high-performance liquid chromatography in plasma samples of 1386 CRC cases and their individually matched controls. Additionally, 115 single-nucleotide polymorphisms (SNPs) robustly associated (P < 5 x 10(-8)) with circulating total bilirubin were instrumented in a 2-sample MR to test for a potential causal effect of bilirubin on CRC risk in 52,775 CRC cases and 45,940 matched controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colon Cancer Family Registry (CCFR), and the Colorectal Transdisciplinary (CORECT) study. Results The associations between circulating UCB levels and CRC risk differed by sex (P-heterogeneity = 0.008). Among men, higher levels of UCB were positively associated with CRC risk (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.04-1.36; per 1-SD increment of log-UCB). In women, an inverse association was observed (OR = 0.86 (0.76-0.97)). In the MR analysis of the mainUGT1A1SNP (rs6431625), genetically predicted higher levels of total bilirubin were associated with a 7% increase in CRC risk in men (OR = 1.07 (1.02-1.12);P = 0.006; per 1-SD increment of total bilirubin), while there was no association in women (OR = 1.01 (0.96-1.06);P = 0.73). Raised bilirubin levels, predicted by instrumental variables excluding rs6431625, were suggestive of an inverse association with CRC in men, but not in women. These differences by sex did not reach formal statistical significance (P-heterogeneity >= 0.2). Conclusions Additional insight into the relationship between circulating bilirubin and CRC is needed in order to conclude on a potential causal role of bilirubin in CRC development.

Published
2020

20. Adherence to asthma management guidelines by middle-aged adults with current asthma

Author

Kandane-Rathnayake, R.K., Matheson, M.C., Simpson, J.A., Tang, M.L.K., Johns, D.P., Meszaros, D., Wood-Baker, R., Feather, I., Morrison, S., Jenkins, M.A., Giles, G.G., Hopper, J., Abramson, M.J., Dharmage, S.C., and Walters, E.H.

Subjects
Asthma -- Care and treatment, Asthma -- Demographic aspects, Asthma -- Research, Patient compliance -- Research, Practice guidelines (Medicine) -- Research, Health
Published
2009

21. Shared heritability and functional enrichment across six solid cancers (vol 10, 431, 2019)

Author

Jiang, X., Finucane, H.K., Schumacher, F.R., Schmit, S.L., Tyrer, J.P., Han, Y., Michailidou, K., Lesseur, C., Kuchenbaecker, K.B., Dennis, J., Conti, D.V., Casey, G., Gaudet, M.M., Huyghe, J.R., Albanes, D., Aldrich, M.C., Andrew, A.S., Andrulis, I.L., Anton-Culver, H., Antoniou, A.C., Antonenkova, N.N., Arnold, S.M., Aronson, K.J., Arun, B.K., Bandera, E.V., Barkardottir, R.B., Barnes, D.R., Batra, J., Beckmann, M.W., Benitez, J., Benlloch, S., Berchuck, A., Berndt, S.I., Bickeboller, H., Bien, S.A., Blomqvist, C., Boccia, S., Bogdanova, N.V., Bojesen, S.E., Bolla, M.K., Brauch, H., Brenner, H., Brenton, J.D., Brook, M.N., Brunet, J., Brunnstrom, H., Buchanan, D.D., Burwinkel, B., Butzow, R., Cadoni, G., Caldes, T., Caligo, M.A., Campbell, I., Campbell, P.T., Cancel-Tassin, G., Cannon-Albright, L., Campa, D., Caporaso, N., Carvalho, A.L., Chan, A.T., Chang-Claude, J., Chanock, S.J., Chen, C., Christiani, D.C., Claes, K.B.M., Claessens, F., Clements, J., Collee, J.M., Correa, M.C., Couch, F.J., Cox, A., Cunningham, J.M., Cybulski, C., Czene, K., Daly, M.B., deFazio, A., Devilee, P., Diez, O., Gago-Dominguez, M., Donovan, J.L., Dork, T., Duell, E.J., Dunning, A.M., Dwek, M., Eccles, D.M., Edlund, C.K., Edwards, D.R.V., Ellberg, C., Evans, D.G., Fasching, P.A., Ferris, R.L., Liloglou, T., Figueiredo, J.C., Fletcher, O., Fortner, R.T., Fostira, F., Franceschi, S., Friedman, E., Gallinger, S.J., Ganz, P.A., Garber, J., Garcia-Saenz, J.A., Gayther, S.A., Giles, G.G., Godwin, A.K., Goldberg, M.S., Goldgar, D.E., Goode, E.L., Goodman, M.T., Goodman, G., Grankvist, K., Greene, M.H., Gronberg, H., Gronwald, J., Guenel, P., Hakansson, N., Hall, P., Hamann, U., Hamdy, F.C., Hamilton, R.J., Hampe, J., Haugen, A., Heitz, F., Herrero, R., Hillemanns, P., Hoffmeister, M., Hogdall, E., Hong, Y.C., Hopper, J.L., Houlston, R., Hulick, P.J., Hunter, D.J., Huntsman, D.G., Idos, G., Imyanitov, E.N., Ingles, S.A., Isaacs, C., Jakubowska, A., James, P., Jenkins, M.A., Johansson, M., John, E.M., Joshi, A.D., Kaneva, R., Karlan, B.Y., Kelemen, L.E., Kuhl, T., Khaw, K.T., Khusnutdinova, E., Kibel, A.S., Kiemeney, L.A., Kim, J., Kjaer, S.K., Knight, J.A., Kogevinas, M., Kote-Jarai, Z., Koutros, S., Kristensen, V.N., Kupryjanczyk, J., Lacko, M., Lam, S., Lambrechts, D., Landi, M.T., Lazarus, P., N.D. le, Lee, E., Lejbkowicz, F., Lenz, H.J., Leslie, G., Lessel, D., Lester, J., Levine, D.A., Li, L., Li, C.I., Lindblom, A., Lindor, N.M., Liu, G., Loupakis, F., Lubinski, J., Maehle, L., Maier, C., Mannermaa, A., Marchand, L., Margolin, S., May, T., McGuffog, L., Meindl, A., Middha, P., Miller, A., Milne, R.L., MacInnis, R.J., Modugno, F., Montagna, M., Moreno, V., Moysich, K.B., Mucci, L., Muir, K., Mulligan, A.M., Nathanson, K.L., Neal, D.E., Ness, A.R., Neuhausen, S.L., Nevanlinna, H., Newcomb, P.A., Newcomb, L.F., Nielsen, F.C., Nikitina-Zake, L., Nordestgaard, B.G., Nussbaum, R.L., Offit, K., Olah, E., Olama, A.A. al, Olopade, O.I., Olshan, A.F., Olsson, H., Osorio, A., Pandha, H., Park, J.Y., Pashayan, N., Parsons, M.T., Pejovic, T., Penney, K.L., Peters, W.H.M., Phelan, C.M., Phipps, A.I., Plaseska-Karanfilska, D., Pring, M., Prokofyeva, D., Radice, P., Stefansson, K., Ramus, S.J., Raskin, L., Rennert, G., Rennert, H.S., Rensburg, E.J., Riggan, M.J., Risch, H.A., Risch, A., Roobol, M.J., Rosenstein, B.S., Rossing, M.A., Ruyck, K., Saloustros, E., Sandler, D.P., Sawyer, E.J., Schabath, M.B., Schleutker, J., Schmidt, M.K., Setiawan, V.W., Shen, H.B., Siegel, E.M., Sieh, W., Singer, C.F., Slattery, M.L., Sorensen, K.D., Southey, M.C., Spurdle, A.B., Stanford, J.L., Stevens, V.L., Stintzing, S., Stone, J., Sundfeldt, K., Sutphen, R., Swerdlow, A.J., Tajara, E.H., Tangen, C.M., Tardon, A., Taylor, J.A., Teare, M.D., Teixeira, M.R., Terry, M.B., Terry, K.L., Thibodeau, S.N., Thomassen, M., Bjorge, L., Tischkowitz, M., Toland, A.E., Torres, D., Townsend, P.A., Travis, R.C., Tung, N., and Tworoger

Published
2019

22. Numerical methods for the force reflection of contact

Author

Ellis, R.E., Sarkar, N., and Jenkins, M.A.

Subjects
Robotics -- Analysis, Transmission speed -- Measurement, Sensors -- Analysis, Power amplifiers -- Analysis, Electronic data processing -- Methods, Engineering and manufacturing industries, Science and technology
Abstract

An important problem in the field of force-reflecting systems and telerobotics is poor rendering of contact, particularly of contact with stiff surfaces. There are numerous possible sources of poor performance, including poor contact models, sampling errors, and delays due to computation or data transmission. In this paper we examine effects due to sample-and-hold, which is a fundamental property of both the discrete domain and also of the sensors and power amplifiers used in a force-reflecting system. We propose sample-and-hold be generalized to sample-estimate-hold. We show why ordinary sample-and-hold generates an active contact interface, and provide ways of improving the feeling of the interface. We have developed a suite of numerical methods for improving the performance of rendering of surfaces by force reflection. We have conducted both simulations and experiments to demonstrate the efficacy of the proposed scheme. Our contributions are a new method of digitally processing force data, and a systematic method for coupling force-processing systems that run at different rates.

Published
1997

23. Interval breast cancer risk associations with breast density, family history and breast tissue aging.

Author

Dugue P.-A., Jenkins M.A., Milne R.L., Hopper J.L., Pike M.C., Giles G.G., Southey M.C., Nguyen T.L., Li S., Dite G.S., Aung Y.K., Evans C.F., Trinh H.N., Baglietto L., Stone J., Song Y.-M., Sung J., English D.R., Dugue P.-A., Jenkins M.A., Milne R.L., Hopper J.L., Pike M.C., Giles G.G., Southey M.C., Nguyen T.L., Li S., Dite G.S., Aung Y.K., Evans C.F., Trinh H.N., Baglietto L., Stone J., Song Y.-M., Sung J., and English D.R.

Abstract

Interval breast cancers (those diagnosed between recommended mammography screens) generally have poorer outcomes and are more common among women with dense breasts. We aimed to develop a risk model for interval breast cancer. We conducted a nested case-control study within the Melbourne Collaborative Cohort Study involving 168 interval breast cancer patients and 498 matched control subjects. We measured breast density using the CUMULUS software. We recorded first-degree family history by questionnaire, measured body mass index (BMI) and calculated age-adjusted breast tissue aging, a novel measure of exposure to estrogen and progesterone based on the Pike model. We fitted conditional logistic regression to estimate odds ratio (OR) or odds ratio per adjusted standard deviation (OPERA) and calculated the area under the receiver operating characteristic curve (AUC). The stronger risk associations were for unadjusted percent breast density (OPERA = 1.99; AUC = 0.66), more so after adjusting for age and BMI (OPERA = 2.26; AUC = 0.70), and for family history (OR = 2.70; AUC = 0.56). When the latter two factors and their multiplicative interactions with age-adjusted breast tissue aging (p = 0.01 and 0.02, respectively) were fitted, the AUC was 0.73 (95% CI 0.69-0.77), equivalent to a ninefold interquartile risk ratio. In summary, compared with using dense breasts alone, risk discrimination for interval breast cancers could be doubled by instead using breast density, BMI, family history and hormonal exposure. This would also give women with dense breasts, and their physicians, more information about the major consequence of having dense breasts-an increased risk of developing an interval breast cancer.Copyright © 2019 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC

Published
2020

24. Genome-wide Modeling of Polygenic Risk Score in Colorectal Cancer Risk.

Author

Huyghe J.R., Thomas M., Sakoda L.C., Hoffmeister M., Rosenthal E.A., Lee J.K., van Duijnhoven F.J.B., Platz E.A., Wu A.H., Dampier C.H., de la Chapelle A., Wolk A., Joshi A.D., Burnett-Hartman A., Gsur A., Lindblom A., Castells A., Win A.K., Namjou B., Van Guelpen B., Tangen C.M., He Q., Li C.I., Schafmayer C., Joshu C.E., Ulrich C.M., Bishop D.T., Buchanan D.D., Schaid D., Drew D.A., Muller D.C., Duggan D., Crosslin D.R., Albanes D., Giovannucci E.L., Larson E., Qu F., Mentch F., Giles G.G., Hakonarson H., Hampel H., Stanaway I.B., Figueiredo J.C., Minnier J., Chang-Claude J., Hampe J., Harley J.B., Visvanathan K., Curtis K.R., Offit K., Li L., Le Marchand L., Vodickova L., Gunter M.J., Jenkins M.A., Slattery M.L., Lemire M., Woods M.O., Song M., Murphy N., Lindor N.M., Dikilitas O., Pharoah P.D.P., Campbell P.T., Newcomb P.A., Milne R.L., MacInnis R.J., Castellvi-Bel S., Ogino S., Berndt S.I., Bezieau S., Thibodeau S.N., Gallinger S.J., Zaidi S.H., Harrison T.A., Keku T.O., Hudson T.J., Vymetalkova V., Moreno V., Martin V., Arndt V., Wei W.-Q., Chung W., Su Y.-R., Hayes R.B., White E., Vodicka P., Casey G., Gruber S.B., Schoen R.E., Chan A.T., Potter J.D., Brenner H., Jarvik G.P., Corley D.A., Peters U., Hsu L., Huyghe J.R., Thomas M., Sakoda L.C., Hoffmeister M., Rosenthal E.A., Lee J.K., van Duijnhoven F.J.B., Platz E.A., Wu A.H., Dampier C.H., de la Chapelle A., Wolk A., Joshi A.D., Burnett-Hartman A., Gsur A., Lindblom A., Castells A., Win A.K., Namjou B., Van Guelpen B., Tangen C.M., He Q., Li C.I., Schafmayer C., Joshu C.E., Ulrich C.M., Bishop D.T., Buchanan D.D., Schaid D., Drew D.A., Muller D.C., Duggan D., Crosslin D.R., Albanes D., Giovannucci E.L., Larson E., Qu F., Mentch F., Giles G.G., Hakonarson H., Hampel H., Stanaway I.B., Figueiredo J.C., Minnier J., Chang-Claude J., Hampe J., Harley J.B., Visvanathan K., Curtis K.R., Offit K., Li L., Le Marchand L., Vodickova L., Gunter M.J., Jenkins M.A., Slattery M.L., Lemire M., Woods M.O., Song M., Murphy N., Lindor N.M., Dikilitas O., Pharoah P.D.P., Campbell P.T., Newcomb P.A., Milne R.L., MacInnis R.J., Castellvi-Bel S., Ogino S., Berndt S.I., Bezieau S., Thibodeau S.N., Gallinger S.J., Zaidi S.H., Harrison T.A., Keku T.O., Hudson T.J., Vymetalkova V., Moreno V., Martin V., Arndt V., Wei W.-Q., Chung W., Su Y.-R., Hayes R.B., White E., Vodicka P., Casey G., Gruber S.B., Schoen R.E., Chan A.T., Potter J.D., Brenner H., Jarvik G.P., Corley D.A., Peters U., and Hsu L.

Abstract

Accurate colorectal cancer (CRC) risk prediction models are critical for identifying individuals at low and high risk of developing CRC, as they can then be offered targeted screening and interventions to address their risks of developing disease (if they are in a high-risk group) and avoid unnecessary screening and interventions (if they are in a low-risk group). As it is likely that thousands of genetic variants contribute to CRC risk, it is clinically important to investigate whether these genetic variants can be used jointly for CRC risk prediction. In this paper, we derived and compared different approaches to generating predictive polygenic risk scores (PRS) from genome-wide association studies (GWASs) including 55,105 CRC-affected case subjects and 65,079 control subjects of European ancestry. We built the PRS in three ways, using (1) 140 previously identified and validated CRC loci; (2) SNP selection based on linkage disequilibrium (LD) clumping followed by machine-learning approaches; and (3) LDpred, a Bayesian approach for genome-wide risk prediction. We tested the PRS in an independent cohort of 101,987 individuals with 1,699 CRC-affected case subjects. The discriminatory accuracy, calculated by the age- and sex-adjusted area under the receiver operating characteristics curve (AUC), was highest for the LDpred-derived PRS (AUC = 0.654) including nearly 1.2 M genetic variants (the proportion of causal genetic variants for CRC assumed to be 0.003), whereas the PRS of the 140 known variants identified from GWASs had the lowest AUC (AUC = 0.629). Based on the LDpred-derived PRS, we are able to identify 30% of individuals without a family history as having risk for CRC similar to those with a family history of CRC, whereas the PRS based on known GWAS variants identified only top 10% as having a similar relative risk. About 90% of these individuals have no family history and would have been considered average risk under current screening guidelines, but might be

Published
2020

25. Circulating Levels of Insulin-like Growth Factor 1 and Insulin-like Growth Factor Binding Protein 3 Associate With Risk of Colorectal Cancer Based on Serologic and Mendelian Randomization Analyses.

Author

English D., Van Guelpen B., Visvanathan K., Vodicka P., Vodickova L., Vymetalkova V., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Peters U., Gunter M.J., Murphy N., Carreras-Torres R., Song M., Chan A.T., Martin R.M., Papadimitriou N., Dimou N., Tsilidis K.K., Banbury B., Bradbury K.E., Besevic J., Rinaldi S., Riboli E., Cross A.J., Travis R.C., Agnoli C., Albanes D., Berndt S.I., Bezieau S., Bishop D.T., Brenner H., Buchanan D.D., Onland-Moret N.C., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chang-Claude J., Chirlaque M.-D., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Gruber S.B., Gsur A., Hampe J., Hampel H., Harrison T.A., Hoffmeister M., Hsu L., Huang W.-Y., Huyghe J.R., Jenkins M.A., Keku T.O., Kuhn T., Kweon S.-S., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Newcomb P.A., Offit K., Ogino S., Ose J., Perduca V., Phipps A.I., Platz E.A., Potter J.D., Qu C., Rennert G., Sakoda L.C., Schafmayer C., Schoen R.E., Slattery M.L., Tangen C.M., Ulrich C.M., van Duijnhoven F.J.B., English D., Van Guelpen B., Visvanathan K., Vodicka P., Vodickova L., Vymetalkova V., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Peters U., Gunter M.J., Murphy N., Carreras-Torres R., Song M., Chan A.T., Martin R.M., Papadimitriou N., Dimou N., Tsilidis K.K., Banbury B., Bradbury K.E., Besevic J., Rinaldi S., Riboli E., Cross A.J., Travis R.C., Agnoli C., Albanes D., Berndt S.I., Bezieau S., Bishop D.T., Brenner H., Buchanan D.D., Onland-Moret N.C., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chang-Claude J., Chirlaque M.-D., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Gruber S.B., Gsur A., Hampe J., Hampel H., Harrison T.A., Hoffmeister M., Hsu L., Huang W.-Y., Huyghe J.R., Jenkins M.A., Keku T.O., Kuhn T., Kweon S.-S., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Newcomb P.A., Offit K., Ogino S., Ose J., Perduca V., Phipps A.I., Platz E.A., Potter J.D., Qu C., Rennert G., Sakoda L.C., Schafmayer C., Schoen R.E., Slattery M.L., Tangen C.M., Ulrich C.M., and van Duijnhoven F.J.B.

Abstract

Background & Aims: Human studies examining associations between circulating levels of insulin-like growth factor 1 (IGF1) and insulin-like growth factor binding protein 3 (IGFBP3) and colorectal cancer risk have reported inconsistent results. We conducted complementary serologic and Mendelian randomization (MR) analyses to determine whether alterations in circulating levels of IGF1 or IGFBP3 are associated with colorectal cancer development. Method(s): Serum levels of IGF1 were measured in blood samples collected from 397,380 participants from the UK Biobank, from 2006 through 2010. Incident cancer cases and cancer cases recorded first in death certificates were identified through linkage to national cancer and death registries. Complete follow-up was available through March 31, 2016. For the MR analyses, we identified genetic variants associated with circulating levels of IGF1 and IGFBP3. The association of these genetic variants with colorectal cancer was examined with 2-sample MR methods using genome-wide association study consortia data (52,865 cases with colorectal cancer and 46,287 individuals without [controls]) Results: After a median follow-up period of 7.1 years, 2665 cases of colorectal cancer were recorded. In a multivariable-adjusted model, circulating level of IGF1 associated with colorectal cancer risk (hazard ratio per 1 standard deviation increment of IGF1, 1.11; 95% confidence interval [CI] 1.05-1.17). Similar associations were found by sex, follow-up time, and tumor subsite. In the MR analyses, a 1 standard deviation increment in IGF1 level, predicted based on genetic factors, was associated with a higher risk of colorectal cancer risk (odds ratio 1.08; 95% CI 1.03-1.12; P = 3.3 x 10-4). Level of IGFBP3, predicted based on genetic factors, was associated with colorectal cancer risk (odds ratio per 1 standard deviation increment, 1.12; 95% CI 1.06-1.18; P = 4.2 x 10-5). Colorectal cancer risk was associated with only 1 variant in the IGFBP3 gene re

Published
2020

26. Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study.

Author

Hsu L., Berndt S.I., Bezieau S., Bishop D.T., Brenner H., Buchanan D.D., Burnett-Hartman A., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., Cross A.J., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Gapstur S.M., Giles G.G., Gruber S.B., Gsur A., Hampe J., Hampel H., Harrison T.A., Hoffmeister M., Huang W.-Y., Huyghe J.R., Jenkins M.A., Joshu C.E., Keku T.O., Kuhn T., Kweon S.-S., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., May A.M., Milne R.L., Moreno V., Newcomb P.A., Offit K., Ogino S., Phipps A.I., Platz E.A., Potter J.D., Qu C., Quiros J.R., Rennert G., Riboli E., Sakoda L.C., Schafmayer C., Schoen R.E., Slattery M.L., Tangen C.M., Tsilidis K.K., Ulrich C.M., van Duijnhoven F.J.B., van Guelpen B., Visvanathan K., Vodicka P., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Campbell P.T., Zheng W., Peters U., Vincent E.E., Gunter M.J., Bull C.J., Bell J.A., Murphy N., Sanderson E., Davey Smith G., Timpson N.J., Banbury B.L., Albanes D., Hsu L., Berndt S.I., Bezieau S., Bishop D.T., Brenner H., Buchanan D.D., Burnett-Hartman A., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., Cross A.J., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Gapstur S.M., Giles G.G., Gruber S.B., Gsur A., Hampe J., Hampel H., Harrison T.A., Hoffmeister M., Huang W.-Y., Huyghe J.R., Jenkins M.A., Joshu C.E., Keku T.O., Kuhn T., Kweon S.-S., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., May A.M., Milne R.L., Moreno V., Newcomb P.A., Offit K., Ogino S., Phipps A.I., Platz E.A., Potter J.D., Qu C., Quiros J.R., Rennert G., Riboli E., Sakoda L.C., Schafmayer C., Schoen R.E., Slattery M.L., Tangen C.M., Tsilidis K.K., Ulrich C.M., van Duijnhoven F.J.B., van Guelpen B., Visvanathan K., Vodicka P., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Campbell P.T., Zheng W., Peters U., Vincent E.E., Gunter M.J., Bull C.J., Bell J.A., Murphy N., Sanderson E., Davey Smith G., Timpson N.J., Banbury B.L., and Albanes D.

Abstract

Background: Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. Method(s): We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. Result(s): In sex-specific MR analyses, higher BMI (per 4.2 kg/m2) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m2) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P <= 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative

Published
2020

27. Correction to: Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer (Human Genetics, (2019), 138, 4, (307-326), 10.1007/s00439-019-01989-8)

Author

Bien, S.A. Su, Y.-R. Conti, D.V. Harrison, T.A. Qu, C. Guo, X. Lu, Y. Albanes, D. Auer, P.L. Banbury, B.L. Berndt, S.I. Bézieau, S. Brenner, H. Buchanan, D.D. Caan, B.J. Campbell, P.T. Carlson, C.S. Chan, A.T. Chang-Claude, J. Chen, S. Connolly, C.M. Easton, D.F. Feskens, E.J.M. Gallinger, S. Giles, G.G. Gunter, M.J. Hampe, J. Huyghe, J.R. Hoffmeister, M. Hudson, T.J. Jacobs, E.J. Jenkins, M.A. Kampman, E. Kang, H.M. Kühn, T. Küry, S. Lejbkowicz, F. Le Marchand, L. Milne, R.L. Li, L. Li, C.I. Lindblom, A. Lindor, N.M. Martín, V. McNeil, C.E. Melas, M. Moreno, V. Newcomb, P.A. Offit, K. Pharaoh, P.D.P. Potter, J.D. Qu, C. Riboli, E. Rennert, G. Sala, N. Schafmayer, C. Scacheri, P.C. Schmit, S.L. Severi, G. Slattery, M.L. Smith, J.D. Trichopoulou, A. Tumino, R. Ulrich, C.M. van Duijnhoven, F.J.B. Van Guelpen, B. Weinstein, S.J. White, E. Wolk, A. Woods, M.O. Wu, A.H. Abeçasis, G.R. Casey, G. Nickerson, D.A. Gruber, S.B. Hsu, L. Zheng, W. Peters, U.

Abstract

Every author has erroneously been assigned to the affiliation “62”. The affiliation 62 belongs to the author Graham Casey. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

Published
2019

28. Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer

Author

Bien, S.A. Su, Y.-R. Conti, D.V. Harrison, T.A. Qu, C. Guo, X. Lu, Y. Albanes, D. Auer, P.L. Banbury, B.L. Berndt, S.I. Bézieau, S. Brenner, H. Buchanan, D.D. Caan, B.J. Campbell, P.T. Carlson, C.S. Chan, A.T. Chang-Claude, J. Chen, S. Connolly, C.M. Easton, D.F. Feskens, E.J.M. Gallinger, S. Giles, G.G. Gunter, M.J. Hampe, J. Huyghe, J.R. Hoffmeister, M. Hudson, T.J. Jacobs, E.J. Jenkins, M.A. Kampman, E. Kang, H.M. Kühn, T. Küry, S. Lejbkowicz, F. Le Marchand, L. Milne, R.L. Li, L. Li, C.I. Lindblom, A. Lindor, N.M. Martín, V. McNeil, C.E. Melas, M. Moreno, V. Newcomb, P.A. Offit, K. Pharaoh, P.D.P. Potter, J.D. Qu, C. Riboli, E. Rennert, G. Sala, N. Schafmayer, C. Scacheri, P.C. Schmit, S.L. Severi, G. Slattery, M.L. Smith, J.D. Trichopoulou, A. Tumino, R. Ulrich, C.M. van Duijnhoven, F.J.B. Van Guelpen, B. Weinstein, S.J. White, E. Wolk, A. Woods, M.O. Wu, A.H. Abecasis, G.R. Casey, G. Nickerson, D.A. Gruber, S.B. Hsu, L. Zheng, W. Peters, U.

Abstract

Genome-wide association studies have reported 56 independently associated colorectal cancer (CRC) risk variants, most of which are non-coding and believed to exert their effects by modulating gene expression. The computational method PrediXcan uses cis-regulatory variant predictors to impute expression and perform gene-level association tests in GWAS without directly measured transcriptomes. In this study, we used reference datasets from colon (n = 169) and whole blood (n = 922) transcriptomes to test CRC association with genetically determined expression levels in a genome-wide analysis of 12,186 cases and 14,718 controls. Three novel associations were discovered from colon transverse models at FDR ≤ 0.2 and further evaluated in an independent replication including 32,825 cases and 39,933 controls. After adjusting for multiple comparisons, we found statistically significant associations using colon transcriptome models with TRIM4 (discovery P = 2.2 × 10− 4, replication P = 0.01), and PYGL (discovery P = 2.3 × 10− 4, replication P = 6.7 × 10− 4). Interestingly, both genes encode proteins that influence redox homeostasis and are related to cellular metabolic reprogramming in tumors, implicating a novel CRC pathway linked to cell growth and proliferation. Defining CRC risk regions as one megabase up- and downstream of one of the 56 independent risk variants, we defined 44 non-overlapping CRC-risk regions. Among these risk regions, we identified genes associated with CRC (P < 0.05) in 34/44 CRC-risk regions. Importantly, CRC association was found for two genes in the previously reported 2q25 locus, CXCR1 and CXCR2, which are potential cancer therapeutic targets. These findings provide strong candidate genes to prioritize for subsequent laboratory follow-up of GWAS loci. This study is the first to implement PrediXcan in a large colorectal cancer study and findings highlight the utility of integrating transcriptome data in GWAS for discovery of, and biological insight into, risk loci. © 2019, The Author(s).

Published
2019

29. Discovery of common and rare genetic risk variants for colorectal cancer

Author

Huyghe, J.R. Bien, S.A. Harrison, T.A. Kang, H.M. Chen, S. Schmit, S.L. Conti, D.V. Qu, C. Jeon, J. Edlund, C.K. Greenside, P. Wainberg, M. Schumacher, F.R. Smith, J.D. Levine, D.M. Nelson, S.C. Sinnott-Armstrong, N.A. Albanes, D. Alonso, M.H. Anderson, K. Arnau-Collell, C. Arndt, V. Bamia, C. Banbury, B.L. Baron, J.A. Berndt, S.I. Bézieau, S. Bishop, D.T. Boehm, J. Boeing, H. Brenner, H. Brezina, S. Buch, S. Buchanan, D.D. Burnett-Hartman, A. Butterbach, K. Caan, B.J. Campbell, P.T. Carlson, C.S. Castellví-Bel, S. Chan, A.T. Chang-Claude, J. Chanock, S.J. Chirlaque, M.-D. Cho, S.H. Connolly, C.M. Cross, A.J. Cuk, K. Curtis, K.R. de la Chapelle, A. Doheny, K.F. Duggan, D. Easton, D.F. Elias, S.G. Elliott, F. English, D.R. Feskens, E.J.M. Figueiredo, J.C. Fischer, R. FitzGerald, L.M. Forman, D. Gala, M. Gallinger, S. Gauderman, W.J. Giles, G.G. Gillanders, E. Gong, J. Goodman, P.J. Grady, W.M. Grove, J.S. Gsur, A. Gunter, M.J. Haile, R.W. Hampe, J. Hampel, H. Harlid, S. Hayes, R.B. Hofer, P. Hoffmeister, M. Hopper, J.L. Hsu, W.-L. Huang, W.-Y. Hudson, T.J. Hunter, D.J. Ibañez-Sanz, G. Idos, G.E. Ingersoll, R. Jackson, R.D. Jacobs, E.J. Jenkins, M.A. Joshi, A.D. Joshu, C.E. Keku, T.O. Key, T.J. Kim, H.R. Kobayashi, E. Kolonel, L.N. Kooperberg, C. Kühn, T. Küry, S. Kweon, S.-S. Larsson, S.C. Laurie, C.A. Le Marchand, L. Leal, S.M. Lee, S.C. Lejbkowicz, F. Lemire, M. Li, C.I. Li, L. Lieb, W. Lin, Y. Lindblom, A. Lindor, N.M. Ling, H. Louie, T.L. Männistö, S. Markowitz, S.D. Martín, V. Masala, G. McNeil, C.E. Melas, M. Milne, R.L. Moreno, L. Murphy, N. Myte, R. Naccarati, A. Newcomb, P.A. Offit, K. Ogino, S. Onland-Moret, N.C. Pardini, B. Parfrey, P.S. Pearlman, R. Perduca, V. Pharoah, P.D.P. Pinchev, M. Platz, E.A. Prentice, R.L. Pugh, E. Raskin, L. Rennert, G. Rennert, H.S. Riboli, E. Rodríguez-Barranco, M. Romm, J. Sakoda, L.C. Schafmayer, C. Schoen, R.E. Seminara, D. Shah, M. Shelford, T. Shin, M.-H. Shulman, K. Sieri, S. Slattery, M.L. Southey, M.C. Stadler, Z.K. Stegmaier, C. Su, Y.-R. Tangen, C.M. Thibodeau, S.N. Thomas, D.C. Thomas, S.S. Toland, A.E. Trichopoulou, A. Ulrich, C.M. Van Den Berg, D.J. van Duijnhoven, F.J.B. Van Guelpen, B. van Kranen, H. Vijai, J. Visvanathan, K. Vodicka, P. Vodickova, L. Vymetalkova, V. Weigl, K. Weinstein, S.J. White, E. Win, A.K. Wolf, C.R. Wolk, A. Woods, M.O. Wu, A.H. Zaidi, S.H. Zanke, B.W. Zhang, Q. Zheng, W. Scacheri, P.C. Potter, J.D. Bassik, M.C. Kundaje, A. Casey, G. Moreno, V. Abecasis, G.R. Nickerson, D.A. Gruber, S.B. Hsu, L. Peters, U.

Abstract

To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10 −8 , bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development. © 2018, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Published
2019

30. Development and external validation study of a melanoma risk prediction model incorporating clinically assessed naevi and solar lentigines

Author

Vuong, K., primary, Armstrong, B.K., additional, Drummond, M., additional, Hopper, J.L., additional, Barrett, J.H., additional, Davies, J.R., additional, Bishop, D.T., additional, Newton‐Bishop, J., additional, Aitken, J.F., additional, Giles, G.G., additional, Schmid, H., additional, Jenkins, M.A., additional, Mann, G.J., additional, McGeechan, K., additional, and Cust, A.E., additional

Published
2019
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31. Associations of pigmentary and naevus phenotype with melanoma risk in two populations with comparable ancestry but contrasting levels of ambient sun exposure

Author

Cust, A.E., primary, Drummond, M., additional, Bishop, D.T., additional, Azizi, L., additional, Schmid, H., additional, Jenkins, M.A., additional, Hopper, J.L., additional, Armstrong, B.K., additional, Aitken, J.F., additional, Kefford, R.F., additional, Giles, G.G., additional, Demenais, F., additional, Goldstein, A.M., additional, Barrett, J.H., additional, Kanetsky, P.A., additional, Elder, D.E., additional, Mann, G.J., additional, and Newton‐Bishop, J.A., additional

Published
2019
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32. Mendelian randomization study of height and risk of colorectal cancer

Author

Thrift, A.P., Gong, J., Peters, U., Chang-Claude, J., Rudolph, A., Slattery, M.L., Chan, A.T., Esko, T., Wood, A.R., Yang, J., Vedantam, S., Gustafsson, S., Pers, T.H., GIANT Consortium (Albrecht, E., Gieger, C., Grallert, H., Heid, I.M., Illig, T., Müller-Nurasyid, M., Peters, A., Thorand, B., Wichmann, H.-E.), Baron, J.A., Bézieau, S., Kuery, S., Ogino, S., Berndt, S.I., Casey, G., Haile, R.W., Du, M., Harrison, T.A., Thornquist, M., Duggan, D.J., Le Marchand, L., Lemire, M., Lindor, N.M., Seminara, D., Song, M., Thibodeau, S.N., Cotterchio, M., Win, A.K., Jenkins, M.A., Hopper, J.L., Ulrich, C.M., Potter, J.D., Newcomb, P.A., Schoen, R.E., Hoffmeister, M., Brenner, H., White, E.S., Hsu, L.A., and Campbell, P.T.

Subjects
Male, Gerontology, medicine.medical_specialty, Mendelian Randomization Causal Analysis, Epidemiology, Logistic regression, Risk Factors, Mendelian randomization, Humans, Medicine, Sex Distribution, Body Height, Colorectal Cancer, Aged, Rectal Neoplasms, business.industry, Confounding, Case-control study, General Medicine, Odds ratio, Mendelian Randomization Analysis, Middle Aged, digestive system diseases, Confidence interval, Genetic epidemiology, Case-Control Studies, Colonic Neoplasms, Female, business, Demography
Abstract

Background: For men and women, taller height is associated with increased risk of all cancers combined. For colorectal cancer (CRC), it is unclear whether the differential association of height by sex is real or is due to confounding or bias inherent in observational studies. We performed a Mendelian randomization study to examine the association between height and CRC risk. Methods: To minimize confounding and bias, we derived a weighted genetic risk score predicting height (using 696 genetic variants associated with height) in 10 226 CRC cases and 10 286 controls. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (95% CI) for associations between height, genetically predicted height and CRC. Results: Using conventional methods, increased height (per 10-cm increment) was associated with increased CRC risk (OR = 1.08, 95% CI = 1.02–1.15). In sex-specific analyses, height was associated with CRC risk for women (OR = 1.15, 95% CI = 1.05–1.26), but not men (OR = 0.98, 95% CI = 0.92–1.05). Consistent with these results, carrying greater numbers of (weighted) height-increasing alleles (per 1-unit increase) was associated with higher CRC risk for women and men combined (OR = 1.07, 95% CI = 1.01–1.14) and for women (OR = 1.09, 95% CI = 1.01–1.19). There was weaker evidence of an association for men (OR = 1.05, 95% CI = 0.96–1.15). Conclusion: We provide evidence for a causal association between height and CRC for women. The CRC-height association for men remains unclear and warrants further investigation in other large studies.

Published
2015
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33. Shared heritability and functional enrichment across six solid cancers.

Author

Fletcher O., Tardon A., Taylor J.A., Teare M.D., Teixeira M.R., Terry M.B., Terry K.L., Thibodeau S.N., Thomassen M., Bjorge L., Tischkowitz M., Toland A.E., Torres D., Townsend P.A., Travis R.C., Tung N., Tworoger S.S., Ulrich C.M., Usmani N., Vachon C.M., Van Nieuwenhuysen E., Vega A., Aguado-Barrera M.E., Wang Q., Webb P.M., Weinberg C.R., Weinstein S., Weissler M.C., Weitzel J.N., West C.M.L., White E., Whittemore A.S., Wichmann H.-E., Wiklund F., Winqvist R., Wolk A., Woll P., Woods M., Wu A.H., Wu X., Yannoukakos D., Zheng W., Zienolddiny S., Ziogas A., Zorn K.K., Lane J.M., Saxena R., Thomas D., Hung R.J., Diergaarde B., McKay J., Peters U., Hsu L., Garcia-Closas M., Eeles R.A., Chenevix-Trench G., Brennan P.J., Haiman C.A., Simard J., Easton D.F., Gruber S.B., Pharoah P.D.P., Price A.L., Pasaniuc B., Amos C.I., Kraft P., Lindstrom S., Chen C., Anton-Culver H., Antoniou A.C., Antonenkova N.N., Arnold S.M., Jiang X., Finucane H.K., Schumacher F.R., Schmit S.L., Tyrer J.P., Han Y., Michailidou K., Lesseur C., Kuchenbaecker K.B., Dennis J., Conti D.V., Casey G., Gaudet M.M., Huyghe J.R., Albanes D., Aldrich M.C., Andrew A.S., Andrulis I.L., Aronson K.J., Arun B.K., Bandera E.V., Barkardottir R.B., Barnes D.R., Batra J., Beckmann M.W., Benitez J., Benlloch S., Berchuck A., Berndt S.I., Bickeboller H., Bien S.A., Blomqvist C., Boccia S., Bogdanova N.V., Bojesen S.E., Bolla M.K., Brauch H., Brenner H., Brenton J.D., Brook M.N., Brunet J., Brunnstrom H., Buchanan D.D., Burwinkel B., Butzow R., Cadoni G., Caldes T., Caligo M.A., Campbell I., Campbell P.T., Cancel-Tassin G., Cannon-Albright L., Campa D., Caporaso N., Carvalho A.L., Chan A.T., Chang-Claude J., Chanock S.J., Christiani D.C., Claes K.B.M., Claessens F., Clements J., Collee J.M., Correa M.C., Couch F.J., Cox A., Cunningham J.M., Cybulski C., Czene K., Daly M.B., deFazio A., Devilee P., Diez O., Gago-Dominguez M., Donovan J.L., Dork T., Duell E.J., Dunning A.M., Dwek M., Eccles D.M., Edlund C.K., Edwards D.R.V., Ellberg C., Evans D.G., Fasching P.A., Ferris R.L., Liloglou T., Figueiredo J.C., Fortner R.T., Fostira F., Franceschi S., Friedman E., Gallinger S.J., Ganz P.A., Garber J., Garcia-Saenz J.A., Gayther S.A., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Goode E.L., Goodman M.T., Goodman G., Grankvist K., Greene M.H., Gronberg H., Gronwald J., Guenel P., Hakansson N., Hall P., Hamann U., Hamdy F.C., Hamilton R.J., Hampe J., Haugen A., Heitz F., Herrero R., Hillemanns P., Hoffmeister M., Hogdall E., Hong Y.-C., Hopper J.L., Houlston R., Hulick P.J., Hunter D.J., Huntsman D.G., Idos G., Imyanitov E.N., Ingles S.A., Isaacs C., Jakubowska A., James P., Jenkins M.A., Johansson M., John E.M., Joshi A.D., Kaneva R., Karlan B.Y., Kelemen L.E., Kuhl T., Khaw K.-T., Khusnutdinova E., Kibel A.S., Kiemeney L.A., Kim J., Kjaer S.K., Knight J.A., Kogevinas M., Kote-Jarai Z., Koutros S., Kristensen V.N., Kupryjanczyk J., Lacko M., Lam S., Lambrechts D., Landi M.T., Lazarus P., Le N.D., Lee E., Lejbkowicz F., Lenz H.-J., Leslie G., Lessel D., Lester J., Levine D.A., Li L., Li C.I., Lindblom A., Lindor N.M., Liu G., Loupakis F., Lubinski J., Maehle L., Maier C., Mannermaa A., Marchand L.L., Margolin S., May T., McGuffog L., Meindl A., Middha P., Miller A., Milne R.L., MacInnis R.J., Modugno F., Montagna M., Moreno V., Moysich K.B., Mucci L., Muir K., Mulligan A.M., Nathanson K.L., Neal D.E., Ness A.R., Neuhausen S.L., Nevanlinna H., Newcomb P.A., Newcomb L.F., Nielsen F.C., Nikitina-Zake L., Nordestgaard B.G., Nussbaum R.L., Offit K., Olah E., Olama A.A.A., Olopade O.I., Olshan A.F., Olsson H., Osorio A., Pandha H., Park J.Y., Pashayan N., Parsons M.T., Pejovic T., Penney K.L., Peters W.H.M., Phelan C.M., Phipps A.I., Plaseska-Karanfilska D., Pring M., Prokofyeva D., Radice P., Stefansson K., Ramus S.J., Raskin L., Rennert G., Rennert H.S., van Rensburg E.J., Riggan M.J., Risch H.A., Risch A., Roobol M.J., Rosenstein B.S., Rossing M.A., De Ruyck K., Saloustros E., Sandler D.P., Sawyer E.J., Schabath M.B., Schleutker J., Schmidt M.K., Setiawan V.W., Shen H., Siegel E.M., Sieh W., Singer C.F., Slattery M.L., Sorensen K.D., Southey M.C., Spurdle A.B., Stanford J.L., Stevens V.L., Stintzing S., Stone J., Sundfeldt K., Sutphen R., Swerdlow A.J., Tajara E.H., Tangen C.M., Fletcher O., Tardon A., Taylor J.A., Teare M.D., Teixeira M.R., Terry M.B., Terry K.L., Thibodeau S.N., Thomassen M., Bjorge L., Tischkowitz M., Toland A.E., Torres D., Townsend P.A., Travis R.C., Tung N., Tworoger S.S., Ulrich C.M., Usmani N., Vachon C.M., Van Nieuwenhuysen E., Vega A., Aguado-Barrera M.E., Wang Q., Webb P.M., Weinberg C.R., Weinstein S., Weissler M.C., Weitzel J.N., West C.M.L., White E., Whittemore A.S., Wichmann H.-E., Wiklund F., Winqvist R., Wolk A., Woll P., Woods M., Wu A.H., Wu X., Yannoukakos D., Zheng W., Zienolddiny S., Ziogas A., Zorn K.K., Lane J.M., Saxena R., Thomas D., Hung R.J., Diergaarde B., McKay J., Peters U., Hsu L., Garcia-Closas M., Eeles R.A., Chenevix-Trench G., Brennan P.J., Haiman C.A., Simard J., Easton D.F., Gruber S.B., Pharoah P.D.P., Price A.L., Pasaniuc B., Amos C.I., Kraft P., Lindstrom S., Chen C., Anton-Culver H., Antoniou A.C., Antonenkova N.N., Arnold S.M., Jiang X., Finucane H.K., Schumacher F.R., Schmit S.L., Tyrer J.P., Han Y., Michailidou K., Lesseur C., Kuchenbaecker K.B., Dennis J., Conti D.V., Casey G., Gaudet M.M., Huyghe J.R., Albanes D., Aldrich M.C., Andrew A.S., Andrulis I.L., Aronson K.J., Arun B.K., Bandera E.V., Barkardottir R.B., Barnes D.R., Batra J., Beckmann M.W., Benitez J., Benlloch S., Berchuck A., Berndt S.I., Bickeboller H., Bien S.A., Blomqvist C., Boccia S., Bogdanova N.V., Bojesen S.E., Bolla M.K., Brauch H., Brenner H., Brenton J.D., Brook M.N., Brunet J., Brunnstrom H., Buchanan D.D., Burwinkel B., Butzow R., Cadoni G., Caldes T., Caligo M.A., Campbell I., Campbell P.T., Cancel-Tassin G., Cannon-Albright L., Campa D., Caporaso N., Carvalho A.L., Chan A.T., Chang-Claude J., Chanock S.J., Christiani D.C., Claes K.B.M., Claessens F., Clements J., Collee J.M., Correa M.C., Couch F.J., Cox A., Cunningham J.M., Cybulski C., Czene K., Daly M.B., deFazio A., Devilee P., Diez O., Gago-Dominguez M., Donovan J.L., Dork T., Duell E.J., Dunning A.M., Dwek M., Eccles D.M., Edlund C.K., Edwards D.R.V., Ellberg C., Evans D.G., Fasching P.A., Ferris R.L., Liloglou T., Figueiredo J.C., Fortner R.T., Fostira F., Franceschi S., Friedman E., Gallinger S.J., Ganz P.A., Garber J., Garcia-Saenz J.A., Gayther S.A., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Goode E.L., Goodman M.T., Goodman G., Grankvist K., Greene M.H., Gronberg H., Gronwald J., Guenel P., Hakansson N., Hall P., Hamann U., Hamdy F.C., Hamilton R.J., Hampe J., Haugen A., Heitz F., Herrero R., Hillemanns P., Hoffmeister M., Hogdall E., Hong Y.-C., Hopper J.L., Houlston R., Hulick P.J., Hunter D.J., Huntsman D.G., Idos G., Imyanitov E.N., Ingles S.A., Isaacs C., Jakubowska A., James P., Jenkins M.A., Johansson M., John E.M., Joshi A.D., Kaneva R., Karlan B.Y., Kelemen L.E., Kuhl T., Khaw K.-T., Khusnutdinova E., Kibel A.S., Kiemeney L.A., Kim J., Kjaer S.K., Knight J.A., Kogevinas M., Kote-Jarai Z., Koutros S., Kristensen V.N., Kupryjanczyk J., Lacko M., Lam S., Lambrechts D., Landi M.T., Lazarus P., Le N.D., Lee E., Lejbkowicz F., Lenz H.-J., Leslie G., Lessel D., Lester J., Levine D.A., Li L., Li C.I., Lindblom A., Lindor N.M., Liu G., Loupakis F., Lubinski J., Maehle L., Maier C., Mannermaa A., Marchand L.L., Margolin S., May T., McGuffog L., Meindl A., Middha P., Miller A., Milne R.L., MacInnis R.J., Modugno F., Montagna M., Moreno V., Moysich K.B., Mucci L., Muir K., Mulligan A.M., Nathanson K.L., Neal D.E., Ness A.R., Neuhausen S.L., Nevanlinna H., Newcomb P.A., Newcomb L.F., Nielsen F.C., Nikitina-Zake L., Nordestgaard B.G., Nussbaum R.L., Offit K., Olah E., Olama A.A.A., Olopade O.I., Olshan A.F., Olsson H., Osorio A., Pandha H., Park J.Y., Pashayan N., Parsons M.T., Pejovic T., Penney K.L., Peters W.H.M., Phelan C.M., Phipps A.I., Plaseska-Karanfilska D., Pring M., Prokofyeva D., Radice P., Stefansson K., Ramus S.J., Raskin L., Rennert G., Rennert H.S., van Rensburg E.J., Riggan M.J., Risch H.A., Risch A., Roobol M.J., Rosenstein B.S., Rossing M.A., De Ruyck K., Saloustros E., Sandler D.P., Sawyer E.J., Schabath M.B., Schleutker J., Schmidt M.K., Setiawan V.W., Shen H., Siegel E.M., Sieh W., Singer C.F., Slattery M.L., Sorensen K.D., Southey M.C., Spurdle A.B., Stanford J.L., Stevens V.L., Stintzing S., Stone J., Sundfeldt K., Sutphen R., Swerdlow A.J., Tajara E.H., and Tangen C.M.

Abstract

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 x 10-8), breast and ovarian cancer (rg = 0.24, p = 7 x 10-5), breast and lung cancer (rg = 0.18, p =1.5 x 10-6) and breast and colorectal cancer (rg = 0.15, p = 1.1 x 10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.Copyright © 2019, The Author(s).

Published
2019

34. Publisher Correction: Shared heritability and functional enrichment across six solid cancers (Nature Communications, (2019), 10, 1, (431), 10.1038/s41467-018-08054-4).

Author

Tangen C.M., Wu X., Yannoukakos D., Zheng W., Zienolddiny S., Ziogas A., Zorn K.K., Lane J.M., Saxena R., Thomas D., Hung R.J., Diergaarde B., McKay J., Peters U., Hsu L., Garcia-Closas M., Eeles R.A., Chenevix-Trench G., Brennan P.J., Haiman C.A., Simard J., Easton D.F., Gruber S.B., Pharoah P.D.P., Price A.L., Pasaniuc B., Amos C.I., Kraft P., Lindstrom S., Chen C., Jiang X., Finucane H.K., Schumacher F.R., Schmit S.L., Tyrer J.P., Han Y., Michailidou K., Lesseur C., Kuchenbaecker K.B., Dennis J., Conti D.V., Casey G., Gaudet M.M., Huyghe J.R., Albanes D., Aldrich M.C., Andrew A.S., Andrulis I.L., Anton-Culver H., Antoniou A.C., Antonenkova N.N., Arnold S.M., Aronson K.J., Arun B.K., Bandera E.V., Barkardottir R.B., Barnes D.R., Batra J., Beckmann M.W., Benitez J., Benlloch S., Berchuck A., Berndt S.I., Bickeboller H., Bien S.A., Blomqvist C., Boccia S., Bogdanova N.V., Bojesen S.E., Bolla M.K., Brauch H., Brenner H., Brenton J.D., Brook M.N., Brunet J., Brunnstrom H., Buchanan D.D., Burwinkel B., Butzow R., Cadoni G., Caldes T., Caligo M.A., Campbell I., Campbell P.T., Cancel-Tassin G., Cannon-Albright L., Campa D., Caporaso N., Carvalho A.L., Chan A.T., Chang-Claude J., Chanock S.J., Christiani D.C., Claes K.B.M., Claessens F., Clements J., Collee J.M., Correa M.C., Couch F.J., Cox A., Cunningham J.M., Cybulski C., Czene K., Daly M.B., deFazio A., Devilee P., Diez O., Gago-Dominguez M., Donovan J.L., Dork T., Duell E.J., Dunning A.M., Dwek M., Eccles D.M., Edlund C.K., Edwards D.R.V., Ellberg C., Evans D.G., Fasching P.A., Ferris R.L., Liloglou T., Figueiredo J.C., Fletcher O., Fortner R.T., Fostira F., Franceschi S., Friedman E., Gallinger S.J., Ganz P.A., Garber J., Garcia-Saenz J.A., Gayther S.A., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Goode E.L., Goodman M.T., Goodman G., Grankvist K., Greene M.H., Gronberg H., Gronwald J., Guenel P., Hakansson N., Hall P., Hamann U., Hamdy F.C., Hamilton R.J., Hampe J., Haugen A., Heitz F., Herrero R., Hillemanns P., Hoffmeister M., Hogdall E., Hong Y.-C., Hopper J.L., Houlston R., Hulick P.J., Hunter D.J., Huntsman D.G., Idos G., Imyanitov E.N., Ingles S.A., Isaacs C., Jakubowska A., James P., Jenkins M.A., Johansson M., John E.M., Joshi A.D., Kaneva R., Karlan B.Y., Kelemen L.E., Kuhl T., Khaw K.-T., Khusnutdinova E., Kibel A.S., Kiemeney L.A., Kim J., Kjaer S.K., Knight J.A., Kogevinas M., Kote-Jarai Z., Koutros S., Kristensen V.N., Kupryjanczyk J., Lacko M., Lam S., Lambrechts D., Landi M.T., Lazarus P., Le N.D., Lee E., Lejbkowicz F., Lenz H.-J., Leslie G., Lessel D., Lester J., Levine D.A., Li L., Li C.I., Lindblom A., Lindor N.M., Liu G., Loupakis F., Lubinski J., Maehle L., Maier C., Mannermaa A., Marchand L.L., Margolin S., May T., McGuffog L., Meindl A., Middha P., Miller A., Milne R.L., MacInnis R.J., Modugno F., Montagna M., Moreno V., Moysich K.B., Mucci L., Muir K., Mulligan A.M., Nathanson K.L., Neal D.E., Ness A.R., Neuhausen S.L., Nevanlinna H., Newcomb P.A., Newcomb L.F., Nielsen F.C., Nikitina-Zake L., Nordestgaard B.G., Nussbaum R.L., Offit K., Olah E., Olama A.A.A., Olopade O.I., Olshan A.F., Olsson H., Osorio A., Pandha H., Park J.Y., Pashayan N., Parsons M.T., Pejovic T., Penney K.L., Peters W.H.M., Phelan C.M., Phipps A.I., Plaseska-Karanfilska D., Pring M., Prokofyeva D., Radice P., Stefansson K., Ramus S.J., Raskin L., Rennert G., Rennert H.S., van Rensburg E.J., Riggan M.J., Risch H.A., Risch A., Roobol M.J., Rosenstein B.S., Rossing M.A., De Ruyck K., Saloustros E., Sandler D.P., Sawyer E.J., Schabath M.B., Schleutker J., Schmidt M.K., Setiawan V.W., Shen H., Siegel E.M., Sieh W., Singer C.F., Slattery M.L., Sorensen K.D., Southey M.C., Spurdle A.B., Stanford J.L., Stevens V.L., Stintzing S., Stone J., Sundfeldt K., Sutphen R., Swerdlow A.J., Tajara E.H., Tardon A., Taylor J.A., Teare M.D., Teixeira M.R., Terry M.B., Terry K.L., Thibodeau S.N., Thomassen M., Bjorge L., Tischkowitz M., Toland A.E., Torres D., Townsend P.A., Travis R.C., Tung N., Tworoger S.S., Ulrich C.M., Usmani N., Vachon C.M., Van Nieuwenhuysen E., Vega A., Aguado-Barrera M.E., Wang Q., Webb P.M., Weinberg C.R., Weinstein S., Weissler M.C., Weitzel J.N., West C.M.L., White E., Whittemore A.S., Wichmann H.-E., Wiklund F., Winqvist R., Wolk A., Woll P., Woods M., Wu A.H., Tangen C.M., Wu X., Yannoukakos D., Zheng W., Zienolddiny S., Ziogas A., Zorn K.K., Lane J.M., Saxena R., Thomas D., Hung R.J., Diergaarde B., McKay J., Peters U., Hsu L., Garcia-Closas M., Eeles R.A., Chenevix-Trench G., Brennan P.J., Haiman C.A., Simard J., Easton D.F., Gruber S.B., Pharoah P.D.P., Price A.L., Pasaniuc B., Amos C.I., Kraft P., Lindstrom S., Chen C., Jiang X., Finucane H.K., Schumacher F.R., Schmit S.L., Tyrer J.P., Han Y., Michailidou K., Lesseur C., Kuchenbaecker K.B., Dennis J., Conti D.V., Casey G., Gaudet M.M., Huyghe J.R., Albanes D., Aldrich M.C., Andrew A.S., Andrulis I.L., Anton-Culver H., Antoniou A.C., Antonenkova N.N., Arnold S.M., Aronson K.J., Arun B.K., Bandera E.V., Barkardottir R.B., Barnes D.R., Batra J., Beckmann M.W., Benitez J., Benlloch S., Berchuck A., Berndt S.I., Bickeboller H., Bien S.A., Blomqvist C., Boccia S., Bogdanova N.V., Bojesen S.E., Bolla M.K., Brauch H., Brenner H., Brenton J.D., Brook M.N., Brunet J., Brunnstrom H., Buchanan D.D., Burwinkel B., Butzow R., Cadoni G., Caldes T., Caligo M.A., Campbell I., Campbell P.T., Cancel-Tassin G., Cannon-Albright L., Campa D., Caporaso N., Carvalho A.L., Chan A.T., Chang-Claude J., Chanock S.J., Christiani D.C., Claes K.B.M., Claessens F., Clements J., Collee J.M., Correa M.C., Couch F.J., Cox A., Cunningham J.M., Cybulski C., Czene K., Daly M.B., deFazio A., Devilee P., Diez O., Gago-Dominguez M., Donovan J.L., Dork T., Duell E.J., Dunning A.M., Dwek M., Eccles D.M., Edlund C.K., Edwards D.R.V., Ellberg C., Evans D.G., Fasching P.A., Ferris R.L., Liloglou T., Figueiredo J.C., Fletcher O., Fortner R.T., Fostira F., Franceschi S., Friedman E., Gallinger S.J., Ganz P.A., Garber J., Garcia-Saenz J.A., Gayther S.A., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Goode E.L., Goodman M.T., Goodman G., Grankvist K., Greene M.H., Gronberg H., Gronwald J., Guenel P., Hakansson N., Hall P., Hamann U., Hamdy F.C., Hamilton R.J., Hampe J., Haugen A., Heitz F., Herrero R., Hillemanns P., Hoffmeister M., Hogdall E., Hong Y.-C., Hopper J.L., Houlston R., Hulick P.J., Hunter D.J., Huntsman D.G., Idos G., Imyanitov E.N., Ingles S.A., Isaacs C., Jakubowska A., James P., Jenkins M.A., Johansson M., John E.M., Joshi A.D., Kaneva R., Karlan B.Y., Kelemen L.E., Kuhl T., Khaw K.-T., Khusnutdinova E., Kibel A.S., Kiemeney L.A., Kim J., Kjaer S.K., Knight J.A., Kogevinas M., Kote-Jarai Z., Koutros S., Kristensen V.N., Kupryjanczyk J., Lacko M., Lam S., Lambrechts D., Landi M.T., Lazarus P., Le N.D., Lee E., Lejbkowicz F., Lenz H.-J., Leslie G., Lessel D., Lester J., Levine D.A., Li L., Li C.I., Lindblom A., Lindor N.M., Liu G., Loupakis F., Lubinski J., Maehle L., Maier C., Mannermaa A., Marchand L.L., Margolin S., May T., McGuffog L., Meindl A., Middha P., Miller A., Milne R.L., MacInnis R.J., Modugno F., Montagna M., Moreno V., Moysich K.B., Mucci L., Muir K., Mulligan A.M., Nathanson K.L., Neal D.E., Ness A.R., Neuhausen S.L., Nevanlinna H., Newcomb P.A., Newcomb L.F., Nielsen F.C., Nikitina-Zake L., Nordestgaard B.G., Nussbaum R.L., Offit K., Olah E., Olama A.A.A., Olopade O.I., Olshan A.F., Olsson H., Osorio A., Pandha H., Park J.Y., Pashayan N., Parsons M.T., Pejovic T., Penney K.L., Peters W.H.M., Phelan C.M., Phipps A.I., Plaseska-Karanfilska D., Pring M., Prokofyeva D., Radice P., Stefansson K., Ramus S.J., Raskin L., Rennert G., Rennert H.S., van Rensburg E.J., Riggan M.J., Risch H.A., Risch A., Roobol M.J., Rosenstein B.S., Rossing M.A., De Ruyck K., Saloustros E., Sandler D.P., Sawyer E.J., Schabath M.B., Schleutker J., Schmidt M.K., Setiawan V.W., Shen H., Siegel E.M., Sieh W., Singer C.F., Slattery M.L., Sorensen K.D., Southey M.C., Spurdle A.B., Stanford J.L., Stevens V.L., Stintzing S., Stone J., Sundfeldt K., Sutphen R., Swerdlow A.J., Tajara E.H., Tardon A., Taylor J.A., Teare M.D., Teixeira M.R., Terry M.B., Terry K.L., Thibodeau S.N., Thomassen M., Bjorge L., Tischkowitz M., Toland A.E., Torres D., Townsend P.A., Travis R.C., Tung N., Tworoger S.S., Ulrich C.M., Usmani N., Vachon C.M., Van Nieuwenhuysen E., Vega A., Aguado-Barrera M.E., Wang Q., Webb P.M., Weinberg C.R., Weinstein S., Weissler M.C., Weitzel J.N., West C.M.L., White E., Whittemore A.S., Wichmann H.-E., Wiklund F., Winqvist R., Wolk A., Woll P., Woods M., and Wu A.H.

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.Copyright © 2019, The Author(s).

Published
2019

35. Cohort profile: The Tasmanian Longitudinal Health STUDY (TAHS).

Author

Walters E.H., Matheson M.C., Abramson M.J., Allen K., Benke G., Burgess J.A., Dowty J.G., Erbas B., Thomas P.S., Thompson B.R., Wood-Baker R., Dharmage S.C., Feather I.H., Frith P.A., Giles G.G., Gurrin L.C., Hamilton G.S., Hopper J.L., James A.L., Jenkins M.A., Johns D.P., Lodge C.J., Lowe A.J., Markos J., Morrison S.C., Perret J.L., Southey M.C., Walters E.H., Matheson M.C., Abramson M.J., Allen K., Benke G., Burgess J.A., Dowty J.G., Erbas B., Thomas P.S., Thompson B.R., Wood-Baker R., Dharmage S.C., Feather I.H., Frith P.A., Giles G.G., Gurrin L.C., Hamilton G.S., Hopper J.L., James A.L., Jenkins M.A., Johns D.P., Lodge C.J., Lowe A.J., Markos J., Morrison S.C., Perret J.L., and Southey M.C.

Published
2019

36. Erratum: Publisher Correction: Shared heritability and functional enrichment across six solid cancers (Nature communications (2019) 10 1 (431))

Author

Jiang, X. (Xia), Finucane, H.K. (Hilary K.), Schumacher, F.R. (Fredrick R), Schmit, S.L. (Stephanie L.), Tyrer, J.P. (Jonathan P.), Han, Y. (Younghun), Michailidou, K. (Kyriaki), Lesseur, C. (Corina), Kuchenbaecker, K.B. (Karoline), Dennis, J. (Joe), Conti, G. (Giario), Casey, G. (Graham), Gaudet, M.M. (Mia M.), Huyghe, J.R. (Jeroen R.), Albanes, D. (Demetrius), Aldrich, M.C. (Melinda), Andrew, A.S. (Angeline S.), Andrulis, I.L. (Irene L.), Anton-Culver, H. (Hoda), Antoniou, A.C. (Antonis C.), Antonenkova, N.N. (Natalia N.), Arnold, S.M. (Susanne M.), Aronson, K.J. (Kristan J.), Arun, B.K. (Banu), Bandera, E.V. (Elisa), Barkardottir, R.B. (Rosa B.), Barnes, D. (Daniel), Batra, J. (Jyotsna), Beckmann, M.W. (Matthias), Benítez, J. (Javier), Benlloch, S. (Sara), Berchuck, A. (Andrew), Berndt, S.I. (Sonja), Bickeböller, H. (Heike), Bien, S.A. (Stephanie A.), Blomqvist, C. (Carl), Boccia, S. (Stefania), Bogdanova, N.V. (Natalia V.), Bojesen, S.E. (Stig), Bolla, M.K. (Manjeet K.), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Brenton, J.D. (James D.), Brook, R.H., Brunet, J. (Joan), Brunnström, H. (Hans), Buchanan, D.D. (Daniel D.), Burwinkel, B. (Barbara), Butzow, R. (Ralf), Cadoni, G. (Gabriella), Caldes, T. (Trinidad), Caligo, M.A. (Maria A.), Campbell, I. (Ian), Campbell, P.T. (Peter T.), Cancel-Tassin, G. (Géraldine), Cannon-Albright, L.A. (Lisa), Campa, D. (Daniele), Caporaso, N.E. (Neil), Carvalho, A.L. (André L), Chan, A.T. (Andrew T.), Chang-Claude, J. (Jenny), Chanock, S.J. (Stephen), Chen, C. (Chu), Christiani, D.C. (David C.), Claes, K.B.M. (Kathleen B M), Claessens, F. (Frank), Clements, J. (Judith), Collée, J.M. (J Margriet), Correa, M.C. (Marcia Cruz), Couch, F.J. (Fergus), Cox, A. (Angela), Cunningham, J.M. (Julie), Cybulski, C. (Cezary), Czene, K. (Kamila), Daly, M.B. (Mary), DeFazio, A. (Anna), Devilee, P. (Peter), Diez, O. (Orland), Gago-Dominguez, M. (Manuela), Donovan, J.L. (Jenny L.), Dörk, T. (Thilo), Duell, E.J. (Eric), Dunning, A.M. (Alison M.), Dwek, M. (Miriam), Eccles, D. (Diana), Edlund, C.K. (Christopher), Edwards, D.R.V. (Digna R Velez), Ellberg, C. (Carolina), Evans, D.G. (D Gareth), Fasching, P.A. (Peter), Ferris, R.L. (Robert L.), Liloglou, T. (Triantafillos), Figueiredo, J.C. (Jane C.), Fletcher, O. (Olivia), Fortner, R.T. (Renée T), Fostira, F. (Florentia), Franceschi, S. (Silvia), Friedman, E. (Eitan), Gallinger, S. (Steve), Ganz, P.A. (Patricia), Garber, J. (Judy), García-Sáenz, J.A. (José A), Gayther, S.A. (Simon), Giles, G.G. (Graham G.), Godwin, A.K. (Andrew K.), Goldberg, M.S. (Mark), Goldgar, D.E. (David E.), Goode, E.L. (Ellen), Goodman, M.T. (Marc), Goodman, G. (Gary), Grankvist, K. (Kjell), Greene, M.H. (Mark H.), Grönberg, H. (Henrik), Gronwald, J. (Jacek), Guénel, P. (Pascal), Håkansson, N. (Niclas), Hall, P. (Per), Hamann, U. (Ute), Hamdy, F. (Freddie), Hamilton, R.J. (Robert J.), Hampe, J. (Jochen), Haugen, A. (Aage), Heitz, F. (Florian), Herrero, R. (Rolando), Hillemanns, P. (Peter), Hoffmeister, M. (Michael), Høgdall, E. (Estrid), Hong, Y.-C. (Yun-Chul), Hopper, J.L. (John), Houlston, R. (Richard), Hulick, P.J. (Peter J.), Hunter, D.J. (David), Huntsman, D.G. (David G.), Idos, G. (Gregory), Imyanitov, E.N. (Evgeny), Ingles, S.A. (Sue), Isaacs, C. (Claudine), Jakubowska, A. (Anna), James, M. (Margaret), Jenkins, M.A. (Mark A.), Johansson, M. (Mattias), Johansson, M. (Mikael), John, E.M. (Esther), Joshi, A.D. (Amit D.), Kaneva, R. (Radka), Karlan, B.Y. (Beth), Kelemen, L.E. (Linda E.), Kühl, T. (Tabea), Khaw, K.-T. (Kay-Tee), Khusnutdinova, E.K. (Elza), Kibel, A. (Adam), Kiemeney, L.A. (Lambertus A.), Kim, J. (Jongoh), Kjaer, M. (Michael), Knight, J.A. (Julia), Kogevinas, M. (Manolis), Kote-Jarai, Z., Koutros, S. (Stella), Kristensen, V. (Vessela), Kupryjanczyk, J. (Jolanta), Lacko, M. (Martin), Lam, S. (Stephan), Lambrechts, D. (Diether), Landi, M.T. (Maria Teresa), Lazarus, P. (Philip), Le, N.D. (Nhu D.), Lee, E. (Eunjung), Lejbkowicz, F. (Flavio), Lenz, H.-J. (Heinz-Josef), Leslie, G. (Goska), Lessel, D. (Davor), Lester, J. (Jenny), Levine, D.A. (Douglas), Li, L. (Li), Li, C.I. (Christopher I.), Lindblom, A. (Annika), Lindor, N.M. (Noralane), Liu, G. (Geoffrey), Loupakis, F. (Fotios), Lubinski, J. (Jan), Maehle, L., Maier, C. (Christiane), Mannermaa, A. (Arto), Le Marchand, L. (Loic), Margolin, S. (Sara), May, T. (Taymaa), McGuffog, L. (Lesley), Meindl, A. (Alfons), Middha, P. (Pooja), Miller, A. (Austin), Milne, R.L. (Roger), MacInnis, R.J. (Robert J.), Modugno, F. (Francesmary), Montagna, M. (Marco), Moreno, V. (Víctor), Moysich, K.B. (Kirsten), Mucci, L. (Lorelei), Muir, K. (Kenneth), Mulligan, A.-M. (Anna-Marie), Nathanson, K.L. (Katherine), Neal, D. (David), Ness, A.R. (Andrew R.), Neuhausen, S.L. (Susan L.), Nevanlinna, H. (Heli), Newcomb, P. (Polly), Newcomb, L.F. (Lisa F.), Nielsen, F. (Finn), Nikitina-Zake, L. (Liene), Nordestgaard, B.G. (Børge), Nussbaum, R. (Robert), Offit, K. (Kenneth), Olah, E. (Edith), Olama, A.A.A. (Ali Amin Al), Olopade, O.I. (Olofunmilayo), Olshan, A.F. (Andrew F.), Olsson, H. (Håkan), Osorio, A. (Ana), Pandha, H. (Hardev), Park, J.Y. (Jong Y.), Pashayan, N. (Nora), Parsons, M. (Marilyn), Pejovic, T. (Tanja), Penney, K.L. (Kathryn L.), Peters, W.H.M. (Wilbert), Phelan, C. (Catherine), Phipps, A.I. (Amanda I.), Plaseska-Karanfilska, D. (Dijana), Pring, M. (Miranda), Prokofyeva, D. (Darya), Radice, P. (Paolo), Stefansson, K. (Kari), Ramus, S.J. (Susan), Raskin, L. (Leon), Rennert, G. (Gad), Rennert, H.S. (Hedy S.), Rensburg, E.J. (Elizabeth) van, Riggan, M.J. (Marjorie J.), Risch, H.A. (Harvey A.), Risch, A. (Angela), Roobol, M.J. (Monique J.), Rosenstein, B.S. (Barry S.), Rossing, M.A. (Mary Anne), De Ruyck, K. (Kim), Saloustros, E. (Emmanouil), Sandler, D.P. (Dale P.), Sawyer, E.J. (Elinor J.), Schabath, M.B. (Matthew), Schleutker, J. (Johanna), Schmidt, M.K. (Marjanka), Setiawan, V.W. (V Wendy), Shen, H. (Hongbing), Siegel, E.M. (Erin M.), Sieh, W. (Weiva), Singer, C.F. (Christian), Slattery, M.L. (Martha L.), Sorensen, K.D. (Karina Dalsgaard), Southey, M.C. (Melissa), Spurdle, A.B. (Amanda), Stanford, J.L. (Janet L.), Stevens, V.L. (Victoria L.), Stintzing, S. (Sebastian), Stone, J. (Jennifer), Sundfeldt, K. (Karin), Sutphen, R. (Rebecca), Swerdlow, A.J. (Anthony ), Tajara, E.H. (Eloiza H.), Tangen, C.M. (Catherine M.), Tardón, A. (Adonina), Taylor, J.A. (Jack A.), Teare, M.D. (M Dawn), Teixeira, P.J., Terry, M.B. (Mary Beth), Terry, K.L. (Kathryn L.), Thibodeau, S.N. (Stephen), Thomassen, M. (Mads), Bjørge, L. (Line), Tischkowitz, M. (Marc), Toland, A.E. (Amanda), Torres, D. (Diana), Townsend, P.A. (Paul A.), Travis, S.P.L. (Simon), Tung, N. (Nadine), Tworoger, S. (Shelley), Ulrich, C. (Cornelia), Usmani, N. (Nawaid), Vachon, C. (Celine), Van Nieuwenhuysen, E. (Els), Vega, A. (Ana), Aguado-Barrera, M.E. (Miguel Elías), Wang, Q. (Qin), Webb, P. (Penny), Weinberg, C.R. (Clarice R.), Weinstein, S. (Stephanie), Weissler, M.C. (Mark C.), Weitzel, J.N. (Jeffrey), West, C.M.L. (Catharine M L), White, E. (Emily), Whittemore, A.S. (Alice), Wichmann, H.-E. (H-Erich), Wiklund, F. (Fredrik), Winqvist, R. (Robert), Wolk, K. (Kerstin), Woll, P.J. (Penella J), Woods, M.O. (Michael), Wu, A.H. (Anna H.), Wu, X. (Xifeng), Yannoukakos, D. (Drakoulis), Zheng, W. (Wei), Zienolddiny, S. (Shanbeh), Ziogas, A. (Argyrios), Zorn, K.K. (Kristin K.), Lane, J.M. (Jacqueline M.), Saxena, R. (Richa), Thomas, D.C. (Duncan), Hung, R.J. (Rayjean J.), Diergaarde, B. (Brenda), McKay, J. (James), Peters, U. (Ulrike), Hsu, L. (Li), García-Closas, M. (Montserrat), Eeles, R.A. (Rosalind A.), Chenevix-Trench, G. (Georgia), Brennan, P.J. (Paul J.), Haiman, C.A. (Christopher), Simard, J. (Jacques), Easton, D.F. (Douglas), Gruber, S.B. (Stephen), Pharoah, P.D.P. (Paul), Price, A.L. (Alkes L.), Pasaniuc, B. (Bogdan), Amos, C.I. (Christopher I.), Kraft, P. (Peter), Lindström, S. (Sara), Jiang, X. (Xia), Finucane, H.K. (Hilary K.), Schumacher, F.R. (Fredrick R), Schmit, S.L. (Stephanie L.), Tyrer, J.P. (Jonathan P.), Han, Y. (Younghun), Michailidou, K. (Kyriaki), Lesseur, C. (Corina), Kuchenbaecker, K.B. (Karoline), Dennis, J. (Joe), Conti, G. (Giario), Casey, G. (Graham), Gaudet, M.M. (Mia M.), Huyghe, J.R. (Jeroen R.), Albanes, D. (Demetrius), Aldrich, M.C. (Melinda), Andrew, A.S. (Angeline S.), Andrulis, I.L. (Irene L.), Anton-Culver, H. (Hoda), Antoniou, A.C. (Antonis C.), Antonenkova, N.N. (Natalia N.), Arnold, S.M. (Susanne M.), Aronson, K.J. (Kristan J.), Arun, B.K. (Banu), Bandera, E.V. (Elisa), Barkardottir, R.B. (Rosa B.), Barnes, D. (Daniel), Batra, J. (Jyotsna), Beckmann, M.W. (Matthias), Benítez, J. (Javier), Benlloch, S. (Sara), Berchuck, A. (Andrew), Berndt, S.I. (Sonja), Bickeböller, H. (Heike), Bien, S.A. (Stephanie A.), Blomqvist, C. (Carl), Boccia, S. (Stefania), Bogdanova, N.V. (Natalia V.), Bojesen, S.E. (Stig), Bolla, M.K. (Manjeet K.), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Brenton, J.D. (James D.), Brook, R.H., Brunet, J. (Joan), Brunnström, H. (Hans), Buchanan, D.D. (Daniel D.), Burwinkel, B. (Barbara), Butzow, R. (Ralf), Cadoni, G. (Gabriella), Caldes, T. (Trinidad), Caligo, M.A. (Maria A.), Campbell, I. (Ian), Campbell, P.T. (Peter T.), Cancel-Tassin, G. (Géraldine), Cannon-Albright, L.A. (Lisa), Campa, D. (Daniele), Caporaso, N.E. (Neil), Carvalho, A.L. (André L), Chan, A.T. (Andrew T.), Chang-Claude, J. (Jenny), Chanock, S.J. (Stephen), Chen, C. (Chu), Christiani, D.C. (David C.), Claes, K.B.M. (Kathleen B M), Claessens, F. (Frank), Clements, J. (Judith), Collée, J.M. (J Margriet), Correa, M.C. (Marcia Cruz), Couch, F.J. (Fergus), Cox, A. (Angela), Cunningham, J.M. (Julie), Cybulski, C. (Cezary), Czene, K. (Kamila), Daly, M.B. (Mary), DeFazio, A. (Anna), Devilee, P. (Peter), Diez, O. (Orland), Gago-Dominguez, M. (Manuela), Donovan, J.L. (Jenny L.), Dörk, T. (Thilo), Duell, E.J. (Eric), Dunning, A.M. (Alison M.), Dwek, M. (Miriam), Eccles, D. (Diana), Edlund, C.K. (Christopher), Edwards, D.R.V. (Digna R Velez), Ellberg, C. (Carolina), Evans, D.G. (D Gareth), Fasching, P.A. (Peter), Ferris, R.L. (Robert L.), Liloglou, T. (Triantafillos), Figueiredo, J.C. (Jane C.), Fletcher, O. (Olivia), Fortner, R.T. (Renée T), Fostira, F. (Florentia), Franceschi, S. (Silvia), Friedman, E. (Eitan), Gallinger, S. (Steve), Ganz, P.A. (Patricia), Garber, J. (Judy), García-Sáenz, J.A. (José A), Gayther, S.A. (Simon), Giles, G.G. (Graham G.), Godwin, A.K. (Andrew K.), Goldberg, M.S. (Mark), Goldgar, D.E. (David E.), Goode, E.L. (Ellen), Goodman, M.T. (Marc), Goodman, G. (Gary), Grankvist, K. (Kjell), Greene, M.H. (Mark H.), Grönberg, H. (Henrik), Gronwald, J. (Jacek), Guénel, P. (Pascal), Håkansson, N. (Niclas), Hall, P. (Per), Hamann, U. (Ute), Hamdy, F. (Freddie), Hamilton, R.J. (Robert J.), Hampe, J. (Jochen), Haugen, A. (Aage), Heitz, F. (Florian), Herrero, R. (Rolando), Hillemanns, P. (Peter), Hoffmeister, M. (Michael), Høgdall, E. (Estrid), Hong, Y.-C. (Yun-Chul), Hopper, J.L. (John), Houlston, R. (Richard), Hulick, P.J. (Peter J.), Hunter, D.J. (David), Huntsman, D.G. (David G.), Idos, G. (Gregory), Imyanitov, E.N. (Evgeny), Ingles, S.A. (Sue), Isaacs, C. (Claudine), Jakubowska, A. (Anna), James, M. (Margaret), Jenkins, M.A. (Mark A.), Johansson, M. (Mattias), Johansson, M. (Mikael), John, E.M. (Esther), Joshi, A.D. (Amit D.), Kaneva, R. (Radka), Karlan, B.Y. (Beth), Kelemen, L.E. (Linda E.), Kühl, T. (Tabea), Khaw, K.-T. (Kay-Tee), Khusnutdinova, E.K. (Elza), Kibel, A. (Adam), Kiemeney, L.A. (Lambertus A.), Kim, J. (Jongoh), Kjaer, M. (Michael), Knight, J.A. (Julia), Kogevinas, M. (Manolis), Kote-Jarai, Z., Koutros, S. (Stella), Kristensen, V. (Vessela), Kupryjanczyk, J. (Jolanta), Lacko, M. (Martin), Lam, S. (Stephan), Lambrechts, D. (Diether), Landi, M.T. (Maria Teresa), Lazarus, P. (Philip), Le, N.D. (Nhu D.), Lee, E. (Eunjung), Lejbkowicz, F. (Flavio), Lenz, H.-J. (Heinz-Josef), Leslie, G. (Goska), Lessel, D. (Davor), Lester, J. (Jenny), Levine, D.A. (Douglas), Li, L. (Li), Li, C.I. (Christopher I.), Lindblom, A. (Annika), Lindor, N.M. (Noralane), Liu, G. (Geoffrey), Loupakis, F. (Fotios), Lubinski, J. (Jan), Maehle, L., Maier, C. (Christiane), Mannermaa, A. (Arto), Le Marchand, L. (Loic), Margolin, S. (Sara), May, T. (Taymaa), McGuffog, L. (Lesley), Meindl, A. (Alfons), Middha, P. (Pooja), Miller, A. (Austin), Milne, R.L. (Roger), MacInnis, R.J. (Robert J.), Modugno, F. (Francesmary), Montagna, M. (Marco), Moreno, V. (Víctor), Moysich, K.B. (Kirsten), Mucci, L. (Lorelei), Muir, K. (Kenneth), Mulligan, A.-M. (Anna-Marie), Nathanson, K.L. (Katherine), Neal, D. (David), Ness, A.R. (Andrew R.), Neuhausen, S.L. (Susan L.), Nevanlinna, H. (Heli), Newcomb, P. (Polly), Newcomb, L.F. (Lisa F.), Nielsen, F. (Finn), Nikitina-Zake, L. (Liene), Nordestgaard, B.G. (Børge), Nussbaum, R. (Robert), Offit, K. (Kenneth), Olah, E. (Edith), Olama, A.A.A. (Ali Amin Al), Olopade, O.I. (Olofunmilayo), Olshan, A.F. (Andrew F.), Olsson, H. (Håkan), Osorio, A. (Ana), Pandha, H. (Hardev), Park, J.Y. (Jong Y.), Pashayan, N. (Nora), Parsons, M. (Marilyn), Pejovic, T. (Tanja), Penney, K.L. (Kathryn L.), Peters, W.H.M. (Wilbert), Phelan, C. (Catherine), Phipps, A.I. (Amanda I.), Plaseska-Karanfilska, D. (Dijana), Pring, M. (Miranda), Prokofyeva, D. (Darya), Radice, P. (Paolo), Stefansson, K. (Kari), Ramus, S.J. (Susan), Raskin, L. (Leon), Rennert, G. (Gad), Rennert, H.S. (Hedy S.), Rensburg, E.J. (Elizabeth) van, Riggan, M.J. (Marjorie J.), Risch, H.A. (Harvey A.), Risch, A. (Angela), Roobol, M.J. (Monique J.), Rosenstein, B.S. (Barry S.), Rossing, M.A. (Mary Anne), De Ruyck, K. (Kim), Saloustros, E. (Emmanouil), Sandler, D.P. (Dale P.), Sawyer, E.J. (Elinor J.), Schabath, M.B. (Matthew), Schleutker, J. (Johanna), Schmidt, M.K. (Marjanka), Setiawan, V.W. (V Wendy), Shen, H. (Hongbing), Siegel, E.M. (Erin M.), Sieh, W. (Weiva), Singer, C.F. (Christian), Slattery, M.L. (Martha L.), Sorensen, K.D. (Karina Dalsgaard), Southey, M.C. (Melissa), Spurdle, A.B. (Amanda), Stanford, J.L. (Janet L.), Stevens, V.L. (Victoria L.), Stintzing, S. (Sebastian), Stone, J. (Jennifer), Sundfeldt, K. (Karin), Sutphen, R. (Rebecca), Swerdlow, A.J. (Anthony ), Tajara, E.H. (Eloiza H.), Tangen, C.M. (Catherine M.), Tardón, A. (Adonina), Taylor, J.A. (Jack A.), Teare, M.D. (M Dawn), Teixeira, P.J., Terry, M.B. (Mary Beth), Terry, K.L. (Kathryn L.), Thibodeau, S.N. (Stephen), Thomassen, M. (Mads), Bjørge, L. (Line), Tischkowitz, M. (Marc), Toland, A.E. (Amanda), Torres, D. (Diana), Townsend, P.A. (Paul A.), Travis, S.P.L. (Simon), Tung, N. (Nadine), Tworoger, S. (Shelley), Ulrich, C. (Cornelia), Usmani, N. (Nawaid), Vachon, C. (Celine), Van Nieuwenhuysen, E. (Els), Vega, A. (Ana), Aguado-Barrera, M.E. (Miguel Elías), Wang, Q. (Qin), Webb, P. (Penny), Weinberg, C.R. (Clarice R.), Weinstein, S. (Stephanie), Weissler, M.C. (Mark C.), Weitzel, J.N. (Jeffrey), West, C.M.L. (Catharine M L), White, E. (Emily), Whittemore, A.S. (Alice), Wichmann, H.-E. (H-Erich), Wiklund, F. (Fredrik), Winqvist, R. (Robert), Wolk, K. (Kerstin), Woll, P.J. (Penella J), Woods, M.O. (Michael), Wu, A.H. (Anna H.), Wu, X. (Xifeng), Yannoukakos, D. (Drakoulis), Zheng, W. (Wei), Zienolddiny, S. (Shanbeh), Ziogas, A. (Argyrios), Zorn, K.K. (Kristin K.), Lane, J.M. (Jacqueline M.), Saxena, R. (Richa), Thomas, D.C. (Duncan), Hung, R.J. (Rayjean J.), Diergaarde, B. (Brenda), McKay, J. (James), Peters, U. (Ulrike), Hsu, L. (Li), García-Closas, M. (Montserrat), Eeles, R.A. (Rosalind A.), Chenevix-Trench, G. (Georgia), Brennan, P.J. (Paul J.), Haiman, C.A. (Christopher), Simard, J. (Jacques), Easton, D.F. (Douglas), Gruber, S.B. (Stephen), Pharoah, P.D.P. (Paul), Price, A.L. (Alkes L.), Pasaniuc, B. (Bogdan), Amos, C.I. (Christopher I.), Kraft, P. (Peter), and Lindström, S. (Sara)

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2019
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37. Development and external validation study of a melanoma risk prediction model incorporating clinically assessed naevi and solar lentigines.

Author

Vuong, K., Armstrong, B.K., Drummond, M., Hopper, J.L., Barrett, J.H., Davies, J.R., Bishop, D.T., Newton‐Bishop, J., Aitken, J.F., Giles, G.G., Schmid, H., Jenkins, M.A., Mann, G.J., McGeechan, K., and Cust, A.E.

Subjects
PREDICTION models, MELANOMA, LENTIGO, LOGISTIC regression analysis, DYSPLASTIC nevus syndrome, CONFIDENCE intervals, FAMILY history (Medicine)
Abstract

Summary: Background: Melanoma risk prediction models could be useful for matching preventive interventions to patients' risk. Objectives: To develop and validate a model for incident first‐primary cutaneous melanoma using clinically assessed risk factors. Methods: We used unconditional logistic regression with backward selection from the Australian Melanoma Family Study (461 cases and 329 controls) in which age, sex and city of recruitment were kept in each step, and we externally validated it using the Leeds Melanoma Case–Control Study (960 cases and 513 controls). Candidate predictors included clinically assessed whole‐body naevi and solar lentigines, and self‐assessed pigmentation phenotype, sun exposure, family history and history of keratinocyte cancer. We evaluated the predictive strength and discrimination of the model risk factors using odds per age‐ and sex‐adjusted SD (OPERA) and the area under curve (AUC), and calibration using the Hosmer–Lemeshow test. Results: The final model included the number of naevi ≥ 2 mm in diameter on the whole body, solar lentigines on the upper back (a six‐level scale), hair colour at age 18 years and personal history of keratinocyte cancer. Naevi was the strongest risk factor; the OPERA was 3·51 [95% confidence interval (CI) 2·71–4·54] in the Australian study and 2·56 (95% CI 2·23–2·95) in the Leeds study. The AUC was 0·79 (95% CI 0·76–0·83) in the Australian study and 0·73 (95% CI 0·70–0·75) in the Leeds study. The Hosmer–Lemeshow test P‐value was 0·30 in the Australian study and < 0·001 in the Leeds study. Conclusions: This model had good discrimination and could be used by clinicians to stratify patients by melanoma risk for the targeting of preventive interventions. What's already known about this topic? Melanoma risk prediction models may be useful in prevention by tailoring interventions to personalized risk levels.For reasons of feasibility, time and cost many melanoma prediction models use self‐assessed risk factors. However, individuals tend to underestimate their naevus numbers. What does this study add? We present a melanoma risk prediction model, which includes clinically‐assessed whole‐body naevi and solar lentigines, and self‐assessed risk factors including pigmentation phenotype and history of keratinocyte cancer.This model performs well on discrimination, the model's ability to distinguish between individuals with and without melanoma, and may assist clinicians to stratify patients by melanoma risk for targeted preventive interventions. Linked Comment: Toland. Br J Dermatol 2020; 182:1089–1090. Respond to this article Plain language summary available online [ABSTRACT FROM AUTHOR]

Published
2020
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38. Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds.

Author

Nguyen T.L., Aung Y.K., Li S., Trinh N.H., Evans C.F., Baglietto L., Krishnan K., Dite G.S., Stone J., English D.R., Song Y.-M., Sung J., Jenkins M.A., Southey M.C., Giles G.G., Hopper J.L., Nguyen T.L., Aung Y.K., Li S., Trinh N.H., Evans C.F., Baglietto L., Krishnan K., Dite G.S., Stone J., English D.R., Song Y.-M., Sung J., Jenkins M.A., Southey M.C., Giles G.G., and Hopper J.L.

Abstract

Background: Case-control studies show that mammographic density is a better risk factor when defined at higher than conventional pixel-brightness thresholds. We asked if this applied to interval and/or screen-detected cancers. Method(s): We conducted a nested case-control study within the prospective Melbourne Collaborative Cohort Study including 168 women with interval and 422 with screen-detected breast cancers, and 498 and 1197 matched controls, respectively. We measured absolute and percent mammographic density using the Cumulus software at the conventional threshold (Cumulus) and two increasingly higher thresholds (Altocumulus and Cirrocumulus, respectively). Measures were transformed and adjusted for age and body mass index (BMI). Using conditional logistic regression and adjusting for BMI by age at mammogram, we estimated risk discrimination by the odds ratio per adjusted standard deviation (OPERA), calculated the area under the receiver operating characteristic curve (AUC) and compared nested models using the likelihood ratio criterion and models with the same number of parameters using the difference in Bayesian information criterion (DELTABIC). Result(s): For interval cancer, there was very strong evidence that the association was best predicted by Cumulus as a percentage (OPERA = 2.33 (95% confidence interval (CI) 1.85-2.92); all DELTABIC > 14), and the association with BMI was independent of age at mammogram. After adjusting for percent Cumulus, no other measure was associated with risk (all P > 0.1). For screen-detected cancer, however, the associations were strongest for the absolute and percent Cirrocumulus measures (all DELTABIC > 6), and after adjusting for Cirrocumulus, no other measure was associated with risk (all P > 0.07). Conclusion(s): The amount of brighter areas is the best mammogram-based measure of screen-detected breast cancer risk, while the percentage of the breast covered by white or bright areas is the best mammogram-based measure of

Published
2018

39. Autonomia della banca centrale e inflazione: panacea o placebo? (Central bank independence and inflation performance: panacea or placebo?)

Author

JENKINS, M.A.

Subjects
lcsh:HB1-3840, Inflation (Finance), Central banks, Inflation (Economics), lcsh:Finance, lcsh:HG1-9999, lcsh:Economic theory. Demography, E58
Abstract

A great deal of recent attention has been devoted towards the relationship between central bank independence and economic performance. The degree of central bank independence is said to determine cross-country inflation differences. However, several factors have been raised that cast doubts on such a relationship. First, the link between independence and inflation may not be as tight as previously declared. Also, predictive validity tests show that the link does not score favourably. Relevant variables also appear to have been omitted in using central bank independence as the determinant of cross-country inflation differences. This paper investigates the stylised facts regarding central bank independence and inflation performance. The structure of the labor market, the regulatory burden of the central bank and the exchange rate regime are found to be significant determinants as well. JEL: E58, Moneta e Credito, V. 49, N. 195 (1996)

Published
2013

40. Recursive Data Structures in APL.

Author

Gull, W.E., Jenkins, M.A., and Horning, J.J.

Subjects
*APL (Computer program language), *DATA structures, *ALGORITHMS
Abstract

Presents the mathematical study of approaches for defining nested arrays in APL, a computer program language. Discussion on the extension of data structure capability of APL; Data structure of APL; Characteristics of APL; Function of APL as an algorithm notation.

Published
1979
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41. Genome-wide association study identifies three new melanoma susceptibility loci

Author

Barrett, J.H., Iles, M.M., Harland, M., Taylor, J.C., Aitken, J.F., Andresen, P.A., Akslen, L.A., Armstrong, B.K., Avril, M.F., Azizi, E., Bakker, B., Bergman, W., Bianchi-Scarra, G., Bressac-de Paillerets, B., Calista, D., Cannon-Albright, L.A., Corda, E., Cust, A.E., Debniak, T., Duffy, D., Dunning, A.M., Easton, D.F., Friedman, E., Galan, P., Ghiorzo, P., Giles, G.G., Hansson, J., Hocevar, M., Hoiom, V., Hopper, J.L., Ingvar, C., Janssen, B., Jenkins, M.A., Jonsson, G., Kefford, R.F., Landi, G., Landi, M.T., Lang, J., Lubinski, J., Mackie, R., Malvehy, J., Martin, N.G., Molven, A., Montgomery, G.W., Nieuwpoort, F.A. van, Novakovic, S., Olsson, H., Pastorino, L., Puig, S., Puig-Butille, J.A., Randerson-Moor, J., Snowden, H., Tuominen, R., VanBelle, P., Stoep, N. van der, Whiteman, D.C., Zelenika, D., Han, J.L., Fang, S.Y., Lee, J.E., Wei, Q.Y., Lathrop, G.M., Gillanders, E.M., Brown, K.M., Goldstein, A.M., Kanetsky, P.A., Mann, G.J., MacGregor, S., Elder, D.E., Amos, C.I., Hayward, N.K., Gruis, N.A., Demenais, F., Bishop, J.A.N., Bishop, D.T., and GenoMEL Consortium

Published
2011

42. Lynch syndrome and cervical cancer.

Author

Lindor N.M., Le Marchand L., Hopper J.L., Newcomb P.A., Haile R.W., Church J., Tucker K.M., Buchanan D.D., Young J.P., Winship I.M., Jenkins M.A., Antill Y.C., Dowty J.G., Win A.K., Thompson T., Walsh M.D., Cummings M.C., Gallinger S., Lindor N.M., Le Marchand L., Hopper J.L., Newcomb P.A., Haile R.W., Church J., Tucker K.M., Buchanan D.D., Young J.P., Winship I.M., Jenkins M.A., Antill Y.C., Dowty J.G., Win A.K., Thompson T., Walsh M.D., Cummings M.C., and Gallinger S.

Abstract

Carriers of germline mutations in DNA mismatch repair (MMR) genes are at increased risk of several cancers including colorectal and gynecologic cancers (Lynch syndrome). There is no substantial evidence that these mutations are associated with an increased risk of cervical cancer. A total of 369 families with at least one carrier of a mutation in a MMR gene (133 MLH1, 174 MSH2, 35 MSH6 and 27 PMS2) were ascertained via population cancer registries or via family cancer clinics in Australia, New Zealand, Canada, and USA. Personal and family histories of cancer were obtained from participant interviews. Modified segregation analysis was used to estimate the hazard ratio (incidence rates for carriers relative to those for the general population), and age-specific cumulative risks of cervical cancer for carriers. A total of 65 cases of cervical cancer were reported (including 10 verified by pathology reports). The estimated incidence was 5.6 fold (95% CI: 2.3-13.8; p = 0.001) higher for carriers than for the general population with a corresponding cumulative risk to 80 years of 4.5% (95% CI: 1.9-10.7%) compared with 0.8% for the general population. The mean age at diagnosis was 43.1 years (95% CI: 40.0-46.2), 3.9 years younger than the reported USA population mean of 47.0 years (p = 0.02). Women with MMR gene mutations were found to have an increased risk of cervical cancer. Due to limited pathology verification we cannot be certain that a proportion of these cases were not lower uterine segment endometrial cancers involving the endocervix, a recognized cancer of Lynch syndrome. What's new? Women with DNA mismatch repair gene mutations (Lynch syndrome) are at increased risk for several cancers but it is unclear whether cervical cancer is one of them. Using data from international cancer registries the authors show that women with Lynch syndrome have an increased risk of cervical cancer that is six times higher than the general population. Carriers of cervical cancers wer

Published
2015

43. Design of a processor for array-theoretic computation

Author

McCrosky, Carl and Jenkins, M.A.

Subjects
Processor Architecture, Programming Language, Evaluation, Study, Technology, Microcode, Very-Large-Scale Integration, LISP, RISC, Implementation
Published
1989

44. A variant in FTO shows association with melanoma risk not due to BMI

Author

Iles, M.M., Law, M.H., Stacey, S.N., Han, J., Fang, S., Pfeiffer, R., Harland, M., MacGregor, S., Taylor, J.C., Aben, K.K.H., Akslen, L.A., Avril, M.F., Azizi, E., Bakker, B., Benediktsdottir, K.R., Bergman, W., Scarra, G.B., Brown, K.M., Calista, D., Chaudru, V., Fargnoli, M.C., Cust, A.E., Demenais, F., Waal, A.C. de, Debniak, T., Elder, D.E., Friedman, E., Galan, P., Ghiorzo, P., Gillanders, E.M., Goldstein, A.M., Gruis, N.A., Hansson, J., Helsing, P., Hocevar, M., Hoiom, V., Hopper, J.L., Ingvar, C., Janssen, M., Jenkins, M.A., Kanetsky, P.A., Kiemeney, L.A.L.M., Lang, J., Lathrop, G.M., Leachman, S., Lee, J.E., Lubinski, J., Mackie, R.M., Mann, G.J., Martin, N.G., Mayordomo, J.I., Molven, A., Mulder, S., Nagore, E., Novakovic, S., Okamoto, I., Olafsson, J.H., Olsson, H., Pehamberger, H., Peris, K., Grasa, M.P., Planelles, D., Puig, S., Puig-Butille, J.A., Randerson-Moor, J., Requena, C., Rivoltini, L., Rodolfo, M., Santinami, M., Sigurgeirsson, B., Snowden, H., Song, F., Sulem, P., Thorisdottir, K., Tuominen, R., Belle, P. Van, Stoep, N. van der, Rossum, M.M. van, Wei, Q., Wendt, J., Zelenika, D., Zhang, M., Landi, M.T., Thorleifsson, G., Bishop, D.T., Amos, C.I., Hayward, N.K., Stefansson, K., Bishop, J.A., Barrett, J.H., et al., Iles, M.M., Law, M.H., Stacey, S.N., Han, J., Fang, S., Pfeiffer, R., Harland, M., MacGregor, S., Taylor, J.C., Aben, K.K.H., Akslen, L.A., Avril, M.F., Azizi, E., Bakker, B., Benediktsdottir, K.R., Bergman, W., Scarra, G.B., Brown, K.M., Calista, D., Chaudru, V., Fargnoli, M.C., Cust, A.E., Demenais, F., Waal, A.C. de, Debniak, T., Elder, D.E., Friedman, E., Galan, P., Ghiorzo, P., Gillanders, E.M., Goldstein, A.M., Gruis, N.A., Hansson, J., Helsing, P., Hocevar, M., Hoiom, V., Hopper, J.L., Ingvar, C., Janssen, M., Jenkins, M.A., Kanetsky, P.A., Kiemeney, L.A.L.M., Lang, J., Lathrop, G.M., Leachman, S., Lee, J.E., Lubinski, J., Mackie, R.M., Mann, G.J., Martin, N.G., Mayordomo, J.I., Molven, A., Mulder, S., Nagore, E., Novakovic, S., Okamoto, I., Olafsson, J.H., Olsson, H., Pehamberger, H., Peris, K., Grasa, M.P., Planelles, D., Puig, S., Puig-Butille, J.A., Randerson-Moor, J., Requena, C., Rivoltini, L., Rodolfo, M., Santinami, M., Sigurgeirsson, B., Snowden, H., Song, F., Sulem, P., Thorisdottir, K., Tuominen, R., Belle, P. Van, Stoep, N. van der, Rossum, M.M. van, Wei, Q., Wendt, J., Zelenika, D., Zhang, M., Landi, M.T., Thorleifsson, G., Bishop, D.T., Amos, C.I., Hayward, N.K., Stefansson, K., Bishop, J.A., Barrett, J.H., and et al.

Abstract

Contains fulltext : 118658.pdf (publisher's version ) (Closed access), We report the results of an association study of melanoma that is based on the genome-wide imputation of the genotypes of 1,353 cases and 3,566 controls of European origin conducted by the GenoMEL consortium. This revealed an association between several SNPs in intron 8 of the FTO gene, including rs16953002, which replicated using 12,313 cases and 55,667 controls of European ancestry from Europe, the USA and Australia (combined P = 3.6 x 10(-12), per-allele odds ratio for allele A = 1.16). In addition to identifying a new melanoma-susceptibility locus, this is to our knowledge the first study to identify and replicate an association with SNPs in FTO not related to body mass index (BMI). These SNPs are not in intron 1 (the BMI-related region) and exhibit no association with BMI. This suggests FTO's function may be broader than the existing paradigm that FTO variants influence multiple traits only through their associations with BMI and obesity.

Published
2013

45. Cancer Risks for MLH1 and MSH2 Mutation Carriers.

Author

Jenkins M.A., Ahnen D.J., Baron J.A., Parry S., Goldblatt J., Young J.P., Hopper J.L., Dowty J.G., Win A.K., Buchanan D.D., Lindor N.M., Macrae F.A., Clendenning M., Antill Y.C., Thibodeau S.N., Casey G., Gallinger S., Marchand L.L., Newcomb P.A., Haile R.W., Young G.P., James P.A., Giles G.G., Gunawardena S.R., Leggett B.A., Gattas M., Boussioutas A., Jenkins M.A., Ahnen D.J., Baron J.A., Parry S., Goldblatt J., Young J.P., Hopper J.L., Dowty J.G., Win A.K., Buchanan D.D., Lindor N.M., Macrae F.A., Clendenning M., Antill Y.C., Thibodeau S.N., Casey G., Gallinger S., Marchand L.L., Newcomb P.A., Haile R.W., Young G.P., James P.A., Giles G.G., Gunawardena S.R., Leggett B.A., Gattas M., and Boussioutas A.

Abstract

We studied 17,576 members of 166 MLH1 and 224 MSH2 mutation-carrying families from the Colon Cancer Family Registry. Average cumulative risks of colorectal cancer (CRC), endometrial cancer (EC), and other cancers for carriers were estimated using modified segregation analysis conditioned on ascertainment criteria. Heterogeneity in risks was investigated using a polygenic risk modifier. Average CRC cumulative risks at the age of 70 years (95% confidence intervals) for MLH1 and MSH2 mutation carriers, respectively, were estimated to be 34% (25%-50%) and 47% (36%-60%) for male carriers and 36% (25%-51%) and 37% (27%-50%) for female carriers. Corresponding EC risks were 18% (9.1%-34%) and 30% (18%-45%). A high level of CRC risk heterogeneity was observed (P < 0.001), with cumulative risks at the age of 70 years estimated to follow U-shaped distributions. For example, 17% of male MSH2 mutation carriers have estimated lifetime risks of 0%-10% and 18% have risks of 90%-100%. Therefore, average risks are similar for the two genes but there is so much individual variation about the average that large proportions of carriers have either very low or very high lifetime cancer risks. Our estimates of CRC and EC cumulative risks for MLH1 and MSH2 mutation carriers are the most precise currently available. © 2012 Wiley Periodicals, Inc.

Published
2013

46. Variability of standard clinical protein assays in the analysis of a model urine solution of fragmented albumin.

Author

Tudball R.N., Jenkins M.A., Daskalakis M., Comper W.D., Balazs N.D.H., Eppel G.A., Nagy S., Tudball R.N., Jenkins M.A., Daskalakis M., Comper W.D., Balazs N.D.H., Eppel G.A., and Nagy S.

Abstract

Objectives: This study investigates the sensitivity of various standard clinical techniques in the detection of albumin fragments. The significance of this work is in the detection of urinary proteins, such as albumin, which has recently been discovered to be excreted as mainly peptide fragments as a result of filtered albumin undergoing degradation during renal passage. All filtered proteins undergo a similar degradation process. Design and Methods: Albumin digested with trypsin was used as a model urine solution. The solution was assayed for albumin concentration by various methods including the biuret assay that is known to detect urinary albumin fragments. The digest solution was also analyzed by various clinically used chromagen assays, electrophoretic and chromatographic methods to determine whether they are able to detect the fragmented protein. Result(s): The benzethonium chloride, Coomassie blue, and pyrogallol red assays for urine protein, the immunoassay for human albumin and sodium dodecyl sulfate polyacrylamide gel electrophoresis with Coomassie blue staining were unable to detect the albumin fragments. Capillary electrophoresis was sensitive to the fragments but with low resolution. High-performance liquid chromatography gave the best results. Conclusion(s): Many techniques utilized to assay patient urine samples are unable to detect fragmented albumin and, hence, will severely underestimate albumin and protein excretion. Copyright (C) 2000 The Canadian Society of Clinical Chemists.

Published
2012

47. Factors associated with type I and type II endometrial cancers in women with a germ-line mutation in a mismatch repair gene.

Author

Spurdle A.B., Antill Y.C., Win A.K., Webb P., Hopper J.L., Gallinger S., Lindor N.M., Jenkins M.A., Newcomb P.A., Haile R.W., Church J., Le Marchand L., Winship I., Spurdle A.B., Antill Y.C., Win A.K., Webb P., Hopper J.L., Gallinger S., Lindor N.M., Jenkins M.A., Newcomb P.A., Haile R.W., Church J., Le Marchand L., and Winship I.

Abstract

Background: Women with an inherited mutation in a mismatch repair (MMR) gene have a substantially increased risk of endometrial cancer (EC) during their lifetime. In the general population, risk factors are thought to differ between type I and type II EC, with type I tumors thought to be associated with hyper-estrogenic stimulation; the same is not well understood for mutation carriers. Method(s): Using families recruited into the Colon Cancer Family Registry (CFR) with a known MMR germline mutation, we evaluated associations between age, menopausal status, body mass index (BMI), diabetes, hyperlipidaemia and cholecystectomy with EC for mutation carriers. Data was obtained from completed questionnaires with pathology reports attained to enable classification of tumors into type I and type II ECs. We then compared characteristics of the MMR carrier cases to that reported from population cohorts. Result(s): From 600 female carriers of a MMR mutation (244 MLH1, 299 MSH2, 38 MSH6 and 19 PMS2) recruited into the CFR, 140 cases of EC were reported (46MLH1, 77MSH2, 15MSH6 and 2 PMS2) with a mean age of 47.5 (standard deviation, SD 8.3) years. Pathology reports were available for 54 cases; 32 type I and 22 type II with mean age at diagnosis 49.3 (SD 7.4) and 49.0 (SD 8.4) yrs respectively (p=0.9).Overall mean BMI at diagnosis was 26.3 (SD 6.3) kg/m2 with no significant difference between type I and II cancers, 25.4 (SD 5.3) v 27.8 (SD 6.2) kg/m2 (p=0.3). No significant difference in diabetes, hyperlipidaemia or cholecystectomy was found between the two groups. When compared to a population based cohort, significant differences between mutation carrying cases and population cases were observed for both type I: mean diagnosis age; 49.3 (SD 7.4) v 60.0 (SD 17) yrs (p=0.0004), post-menopausal status; 56% v 80% (p=0.001) and BMI >25 kg/m2; 37% v 83% (p<0.001), and for Type II ECs; mean diagnosis age, 49.0 (SD 8.4) v 68.0 (SD 17.0) yrs (p<0.001) and post-menopausal status, 40% v

Published
2012

48. Body mass index in early adulthood and endometrial cancer risk for mismatch repair gene mutation carriers.

Author

Hopper J.L., Le Marchand L., Lindor N.M., Newcomb P.A., Jenkins M.A., Win A.K., Dowty J.G., Antill Y.C., English D.R., Baron J.A., Young J.P., Giles G.G., Southey M.C., Winship I., Lipton L., Parry S., Thibodeau S.N., Haile R.W., Gallinger S., Hopper J.L., Le Marchand L., Lindor N.M., Newcomb P.A., Jenkins M.A., Win A.K., Dowty J.G., Antill Y.C., English D.R., Baron J.A., Young J.P., Giles G.G., Southey M.C., Winship I., Lipton L., Parry S., Thibodeau S.N., Haile R.W., and Gallinger S.

Abstract

Objective: To investigate the association of body mass index (BMI) in early adulthood and endometrial cancer risk for carriers of a germline mutation in a DNA mismatch repair gene. Method(s): We estimated the association between BMI at age 18-20 years and endometrial cancer risk for mismatch repair gene mutation carriers and, as a comparison group, noncarriers using 601 female carriers of a germline mutation in a mismatch repair gene (245 MLH1, 299 MSH2, 38 MSH6, and 19 PMS2) and 533 female noncarriers from the Colon Cancer Family Registry using a weighted Cox proportional hazards regression. Result(s): During 51,693 person-years of observation, we observed diagnoses of endometrial cancer for 126 carriers and eight noncarriers. For carriers, there was no evidence of an association between BMI at age 20 years and endometrial cancer (adjusted hazard ratio 0.73 per 5 kg/m; 95% confidence interval [CI], 0.40-1.34; P=.31). For noncarriers, endometrial cancer risk increased by 74% for each 5-kg/m increment in BMI (adjusted hazard ratio 1.74; 95% CI 1.27-2.37; P<.001). The hazard ratio for BMI and endometrial cancer for noncarriers was greater than for carriers (P=.04). Conclusion(s): The effect of body mass on endometrial cancer risk depends on the woman's mismatch repair gene mutation carrier status, suggesting obesity-independent endometrial carcinogenesis for carriers. © 2011 by The American College of Obstetricians and Gynecologists. Published by Lippincott Williams & Wilkins.

Published
2012

49. Clinicopathological features of gynaecological cancers in women with lynch syndrome.

Author

Thompson T., Antill Y.C., Win A.K., Walsh M.D., Hopper J.L., Jenkins M.A., Gallinger S., Lindor N.M., Newcomb P.A., Haile R.W., Church J., LeMarchand L., Winship I., Thompson T., Antill Y.C., Win A.K., Walsh M.D., Hopper J.L., Jenkins M.A., Gallinger S., Lindor N.M., Newcomb P.A., Haile R.W., Church J., LeMarchand L., and Winship I.

Abstract

Background: Women with an inherited germline mutation in a mismatch repair (MMR) gene have a recognized elevated risk of both endometrial (EC) and ovarian cancers (OC), together with the potential for an increased risk for cervical cancer (CC). There is modest information regarding the clinicopathological features of these cancers in this group. Method(s): We reviewed the pathology and clinical details for gynaecological cancers in women with a known pathogenic MMR mutation who were registered as part of the Colon Cancer Family Registry (CCFR). The features of these cancers were compared to literature reports of the same cancers in the general populations. Result(s): From 801 female carriers of a MMR mutation (312 MLH1, 391 MSH2, 66 MSH6 and 32 PMS2) recruited into the CCFR, 169 cases of EC were reported (48 MLH1, 98 MSH2, 21 MSH6 and 2 PMS2), 35 cases of OC (10 MLH1, 22 MSH2 and 3 MSH6) and 17 cases of CC (5 MLH1, 10 MSH2, 1 MSH6 and 1 PMS2) with pathology reports or medical records available for 96 ECs, 12 OCs and 8CCs. The mean age for diagnosis was younger than the general population for EC: 47.3 years (standard deviation, SD 8.2) p < 0.001, OC 47.0 years (SD7.5) p < 0.001 and CC 39.6 years (SD 9.8) p = 0.007. The predominant histology reported were: EC: endometrioid 63 (65%), OC: endometrioid 12 (60%) and for CC adenocarcinoma 7 (87.5%). Lower uterine segment involvement was seen in 24 cases (27%). Stage at diagnosis EC: I 69 (78.4%), II 15 (17%), III 5 (5.7%), and for OC I 12 (66.7%), II 4 (22.2%), III 3 (16.7%). Synchronous cancers were reported in 17 cases (1 CRC/EC/OC, 1 EC/OC/CC, 4 CRC/EC, 10 EC/OC, 1 CRC/CC). Expression for mismatch repair mutations for the concordant gene for all gynaecological cancer groups will also be presented. Conclusion(s): There are both significant differences and similarities between the cancers seen in association with Lynch Syndrome: in particular, OC appears to be predominantly early stage and endometrioid tumours, CC adenoca

Published
2011

50. Is childhood immunisation associated with atopic disease from age 7 to 32 years?

Author

Bernsen, R.M., van der Wouden, J.C., Dharmage, S.C., Matheson, M., Nakajima, K., Carlin, J.B., Wharton, C., Jenkins, M.A., Giles, G., Hopper, J., Walters, E.H., and Abramson, M.

Subjects
Allergy in children -- Risk factors, Immunization -- Influence, Immunization -- Physiological aspects, Health
Published
2007

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