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A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for Adenocarcinoma.

American journal of human genetics

Landi MT, Chatterjee N, Yu K, Goldin LR, Goldstein AM, Rotunno M, Mirabello L, Jacobs K, Wheeler W, Yeager M, Bergen AW, Li Q, Consonni D, Pesatori AC, Wacholder S, Thun M, Diver R, Oken M, Virtamo J, Albanes D, Wang Z, Burdette L, Doheny KF, Pugh EW, Laurie C, Brennan P, Hung R, Gaborieau V, McKay JD, Lathrop M, McLaughlin J, Wang Y, Tsao MS, Spitz MR, Wang Y, Krokan H, Vatten L, Skorpen F, Arnesen E, Benhamou S, Bouchard C, Metspalu A, Vooder T, Nelis M, Välk K, Field JK, Chen C, Goodman G, Sulem P, Thorleifsson G, Rafnar T, Eisen T, Sauter W, Rosenberger A, Bickeböller H, Risch A, Chang-Claude J, Wichmann HE, Stefansson K, Houlston R, Amos CI, Fraumeni JF, Savage SA, Bertazzi PA, Tucker MA, Chanock S, Caporaso NE.
PMID: 28472664
Am J Hum Genet. 2011 Jun 10;88(6):861. doi: 10.1016/j.ajhg.2011.05.003. Epub 2011 Jun 10.

No abstract available.

Cite
Landi MT, Chatterjee N, Yu K, et al. A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for Adenocarcinoma. Am J Hum Genet. 2011;88(6):861doi: 10.1016/j.ajhg.2011.05.003.
Landi, M. T., Chatterjee, N., Yu, K., Goldin, L. R., Goldstein, A. M., Rotunno, M., Mirabello, L., Jacobs, K., Wheeler, W., Yeager, M., Bergen, A. W., Li, Q., Consonni, D., Pesatori, A. C., Wacholder, S., Thun, M., Diver, R., Oken, M., Virtamo, J., Albanes, D., Wang, Z., Burdette, L., Doheny, K. F., Pugh, E. W., Laurie, C., Brennan, P., Hung, R., Gaborieau, V., McKay, J. D., Lathrop, M., McLaughlin, J., Wang, Y., Tsao, M. S., Spitz, M. R., Wang, Y., Krokan, H., Vatten, L., Skorpen, F., Arnesen, E., Benhamou, S., Bouchard, C., Metspalu, A., Vooder, T., Nelis, M., Välk, K., Field, J. K., Chen, C., Goodman, G., Sulem, P., Thorleifsson, G., Rafnar, T., Eisen, T., Sauter, W., Rosenberger, A., Bickeböller, H., Risch, A., Chang-Claude, J., Wichmann, H. E., Stefansson, K., Houlston, R., Amos, C. I., Fraumeni, J. F., Savage, S. A., Bertazzi, P. A., Tucker, M. A., Chanock, S., & Caporaso, N. E. (2011). A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for Adenocarcinoma. American journal of human genetics, 88(6), 861. https://doi.org/10.1016/j.ajhg.2011.05.003
Landi, Maria Teresa, et al. "A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for Adenocarcinoma." American journal of human genetics vol. 88,6 (2011): 861. doi: https://doi.org/10.1016/j.ajhg.2011.05.003
Landi MT, Chatterjee N, Yu K, Goldin LR, Goldstein AM, Rotunno M, Mirabello L, Jacobs K, Wheeler W, Yeager M, Bergen AW, Li Q, Consonni D, Pesatori AC, Wacholder S, Thun M, Diver R, Oken M, Virtamo J, Albanes D, Wang Z, Burdette L, Doheny KF, Pugh EW, Laurie C, Brennan P, Hung R, Gaborieau V, McKay JD, Lathrop M, McLaughlin J, Wang Y, Tsao MS, Spitz MR, Wang Y, Krokan H, Vatten L, Skorpen F, Arnesen E, Benhamou S, Bouchard C, Metspalu A, Vooder T, Nelis M, Välk K, Field JK, Chen C, Goodman G, Sulem P, Thorleifsson G, Rafnar T, Eisen T, Sauter W, Rosenberger A, Bickeböller H, Risch A, Chang-Claude J, Wichmann HE, Stefansson K, Houlston R, Amos CI, Fraumeni JF, Savage SA, Bertazzi PA, Tucker MA, Chanock S, Caporaso NE. A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for Adenocarcinoma. Am J Hum Genet. 2011 Jun 10;88(6):861. doi: 10.1016/j.ajhg.2011.05.003. Epub 2011 Jun 10. PMID: 28472664; PMCID: PMC3113243.
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Kernel score statistic for dependent data.

BMC proceedings

Malzahn D, Friedrichs S, Rosenberger A, Bickeböller H.
PMID: 25519324
BMC Proc. 2014 Jun 17;8:S41. doi: 10.1186/1753-6561-8-S1-S41. eCollection 2014.

The kernel score statistic is a global covariance component test over a set of genetic markers. It provides a flexible modeling framework and does not collapse marker information. We generalize the kernel score statistic to allow for familial dependencies...

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Malzahn D, Friedrichs S, Rosenberger A, et al. Kernel score statistic for dependent data. BMC Proc. 2014;8:S41doi: 10.1186/1753-6561-8-S1-S41.
Malzahn, D., Friedrichs, S., Rosenberger, A., & Bickeböller, H. (2014). Kernel score statistic for dependent data. BMC proceedings, 8S41. https://doi.org/10.1186/1753-6561-8-S1-S41
Malzahn, Dörthe, et al. "Kernel score statistic for dependent data." BMC proceedings vol. 8 (2014): S41. doi: https://doi.org/10.1186/1753-6561-8-S1-S41
Malzahn D, Friedrichs S, Rosenberger A, Bickeböller H. Kernel score statistic for dependent data. BMC Proc. 2014 Jun 17;8:S41. doi: 10.1186/1753-6561-8-S1-S41. eCollection 2014. PMID: 25519324; PMCID: PMC4143755.
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Genetic Analysis Workshop 15: gene expression analysis and approaches to detecting multiple functional loci.

BMC proceedings

Cordell HJ, de Andrade M, Babron MC, Bartlett CW, Beyene J, Bickeböller H, Culverhouse R, Cupples LA, Daw EW, Dupuis J, Falk CT, Ghosh S, Goddard KA, Goode EL, Hauser ER, Martin LJ, Martinez M, North KE, Saccone NL, Schmidt S, Tapper W, Thomas D, Tritchler D, Vieland VJ, Wijsman EM, Wilcox MA, Witte JS, Yang Q, Ziegler A, Almasy L, Maccluer JW.
PMID: 18466438
BMC Proc. 2007;1:S1. doi: 10.1186/1753-6561-1-s1-s1. Epub 2007 Dec 18.

No abstract available.

Cite
Cordell HJ, de Andrade M, Babron MC, et al. Genetic Analysis Workshop 15: gene expression analysis and approaches to detecting multiple functional loci. BMC Proc. 2007;1:S1doi: 10.1186/1753-6561-1-s1-s1.
Cordell, H. J., de Andrade, M., Babron, M. C., Bartlett, C. W., Beyene, J., Bickeböller, H., Culverhouse, R., Cupples, L. A., Daw, E. W., Dupuis, J., Falk, C. T., Ghosh, S., Goddard, K. A., Goode, E. L., Hauser, E. R., Martin, L. J., Martinez, M., North, K. E., Saccone, N. L., Schmidt, S., Tapper, W., Thomas, D., Tritchler, D., Vieland, V. J., Wijsman, E. M., Wilcox, M. A., Witte, J. S., Yang, Q., Ziegler, A., Almasy, L., & Maccluer, J. W. (2007). Genetic Analysis Workshop 15: gene expression analysis and approaches to detecting multiple functional loci. BMC proceedings, 1S1. https://doi.org/10.1186/1753-6561-1-s1-s1
Cordell, Heather J, et al. "Genetic Analysis Workshop 15: gene expression analysis and approaches to detecting multiple functional loci." BMC proceedings vol. 1 (2007): S1. doi: https://doi.org/10.1186/1753-6561-1-s1-s1
Cordell HJ, de Andrade M, Babron MC, Bartlett CW, Beyene J, Bickeböller H, Culverhouse R, Cupples LA, Daw EW, Dupuis J, Falk CT, Ghosh S, Goddard KA, Goode EL, Hauser ER, Martin LJ, Martinez M, North KE, Saccone NL, Schmidt S, Tapper W, Thomas D, Tritchler D, Vieland VJ, Wijsman EM, Wilcox MA, Witte JS, Yang Q, Ziegler A, Almasy L, Maccluer JW. Genetic Analysis Workshop 15: gene expression analysis and approaches to detecting multiple functional loci. BMC Proc. 2007;1:S1. doi: 10.1186/1753-6561-1-s1-s1. Epub 2007 Dec 18. PMID: 18466438; PMCID: PMC2367529.
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Heritability of radiation response in lung cancer families.

Genes

Rosenberger A, Rössler U, Hornhardt S, Sauter W, Bickeböller H, Wichmann HE, Gomolka M.
PMID: 24704916
Genes (Basel). 2012 Mar 29;3(2):248-60. doi: 10.3390/genes3020248.

Radiation sensitivity is assumed to be a cancer susceptibility factor due to impaired DNA damage signalling and repair. Relevant genetic factors may also determine the observed familial aggregation of early onset lung cancer. We investigated the heritability of radiation...

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Rosenberger A, Rössler U, Hornhardt S, et al. Heritability of radiation response in lung cancer families. Genes (Basel). 2012;3(2):248-60doi: 10.3390/genes3020248.
Rosenberger, A., Rössler, U., Hornhardt, S., Sauter, W., Bickeböller, H., Wichmann, H. E., & Gomolka, M. (2012). Heritability of radiation response in lung cancer families. Genes, 3(2), 248-60. https://doi.org/10.3390/genes3020248
Rosenberger, Albert, et al. "Heritability of radiation response in lung cancer families." Genes vol. 3,2 (2012): 248-60. doi: https://doi.org/10.3390/genes3020248
Rosenberger A, Rössler U, Hornhardt S, Sauter W, Bickeböller H, Wichmann HE, Gomolka M. Heritability of radiation response in lung cancer families. Genes (Basel). 2012 Mar 29;3(2):248-60. doi: 10.3390/genes3020248. PMID: 24704916; PMCID: PMC3899950.
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Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk.

International journal of cancer

Dai J, Huang M, Amos CI, Hung RJ, Tardon A, Andrew A, Chen C, Christiani DC, Albanes D, Rennert G, Fan J, Goodman G, Liu G, Field JK, Grankvist K, Kiemeney LA, Le Marchand L, Schabath MB, Johansson M, Aldrich MC, Johansson M, Caporaso N, Lazarus P, Lam S, Bojesen SE, Arnold S, Landi MT, Risch A, Wichmann HE, Bickeboller H, Brennan P, Shete S, Melander O, Brunnstrom H, Zienolddiny S, Woll P, Stevens V, Hu Z, Shen H.
PMID: 31577861
Int J Cancer. 2020 May 15;146(10):2855-2864. doi: 10.1002/ijc.32698. Epub 2019 Oct 31.

Genome-wide association studies (GWAS) have identified 45 susceptibility loci associated with lung cancer. Only less than SNPs, small insertions and deletions (INDELs) are the second most abundant genetic polymorphisms in the human genome. INDELs are highly associated with multiple...

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Dai J, Huang M, Amos CI, et al. Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk. Int J Cancer. 2019;146(10):2855-2864doi: 10.1002/ijc.32698.
Dai, J., Huang, M., Amos, C. I., Hung, R. J., Tardon, A., Andrew, A., Chen, C., Christiani, D. C., Albanes, D., Rennert, G., Fan, J., Goodman, G., Liu, G., Field, J. K., Grankvist, K., Kiemeney, L. A., Le Marchand, L., Schabath, M. B., Johansson, M., Aldrich, M. C., Johansson, M., Caporaso, N., Lazarus, P., Lam, S., Bojesen, S. E., Arnold, S., Landi, M. T., Risch, A., Wichmann, H. E., Bickeboller, H., Brennan, P., Shete, S., Melander, O., Brunnstrom, H., Zienolddiny, S., Woll, P., Stevens, V., Hu, Z., & Shen, H. (2020). Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk. International journal of cancer, 146(10), 2855-2864. https://doi.org/10.1002/ijc.32698
Dai, Juncheng, et al. "Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk." International journal of cancer vol. 146,10 (2020): 2855-2864. doi: https://doi.org/10.1002/ijc.32698
Dai J, Huang M, Amos CI, Hung RJ, Tardon A, Andrew A, Chen C, Christiani DC, Albanes D, Rennert G, Fan J, Goodman G, Liu G, Field JK, Grankvist K, Kiemeney LA, Le Marchand L, Schabath MB, Johansson M, Aldrich MC, Johansson M, Caporaso N, Lazarus P, Lam S, Bojesen SE, Arnold S, Landi MT, Risch A, Wichmann HE, Bickeboller H, Brennan P, Shete S, Melander O, Brunnstrom H, Zienolddiny S, Woll P, Stevens V, Hu Z, Shen H. Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk. Int J Cancer. 2020 May 15;146(10):2855-2864. doi: 10.1002/ijc.32698. Epub 2019 Oct 31. PMID: 31577861; PMCID: PMC7101262.
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Comparing strategies for combined testing of rare and common variants in whole sequence and genome-wide genotype data.

BMC proceedings

Malzahn D, Friedrichs S, Bickeböller H.
PMID: 27980648
BMC Proc. 2016 Oct 18;10:269-273. doi: 10.1186/s12919-016-0042-9. eCollection 2016.

We used our extension of the kernel score test to family data to analyze real and simulated baseline systolic blood pressure in extended pedigrees. We compared the power for different kernels and for different weightings of genetic markers. Moreover,...

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Malzahn D, Friedrichs S, Bickeböller H. Comparing strategies for combined testing of rare and common variants in whole sequence and genome-wide genotype data. BMC Proc. 2016;10:269-273doi: 10.1186/s12919-016-0042-9.
Malzahn, D., Friedrichs, S., & Bickeböller, H. (2016). Comparing strategies for combined testing of rare and common variants in whole sequence and genome-wide genotype data. BMC proceedings, 10269-273. https://doi.org/10.1186/s12919-016-0042-9
Malzahn, Dörthe, et al. "Comparing strategies for combined testing of rare and common variants in whole sequence and genome-wide genotype data." BMC proceedings vol. 10 (2016): 269-273. doi: https://doi.org/10.1186/s12919-016-0042-9
Malzahn D, Friedrichs S, Bickeböller H. Comparing strategies for combined testing of rare and common variants in whole sequence and genome-wide genotype data. BMC Proc. 2016 Oct 18;10:269-273. doi: 10.1186/s12919-016-0042-9. eCollection 2016. PMID: 27980648; PMCID: PMC5133495.
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Fatigue, depression, and quality of life in patients with prostatic diseases.

Central European journal of urology

Engl T, Drescher D, Bickeböller R, Grabhorn R.
PMID: 28461987
Cent European J Urol. 2017;70(1):44-47. doi: 10.5173/ceju.2017.940. Epub 2017 Jan 15.

INTRODUCTION: Fatigue and depression are commonly attributed to malignant and chronic benign diseases. However, these phenomena have been little investigated to date in prostatic diseases. Our aim was to compare fatigue and depression in prostate cancer patients treated with...

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Engl T, Drescher D, Bickeböller R, et al. Fatigue, depression, and quality of life in patients with prostatic diseases. Cent European J Urol. 2017;70(1):44-47doi: 10.5173/ceju.2017.940.
Engl, T., Drescher, D., Bickeböller, R., & Grabhorn, R. (2017). Fatigue, depression, and quality of life in patients with prostatic diseases. Central European journal of urology, 70(1), 44-47. https://doi.org/10.5173/ceju.2017.940
Engl, Tobias, et al. "Fatigue, depression, and quality of life in patients with prostatic diseases." Central European journal of urology vol. 70,1 (2017): 44-47. doi: https://doi.org/10.5173/ceju.2017.940
Engl T, Drescher D, Bickeböller R, Grabhorn R. Fatigue, depression, and quality of life in patients with prostatic diseases. Cent European J Urol. 2017;70(1):44-47. doi: 10.5173/ceju.2017.940. Epub 2017 Jan 15. PMID: 28461987; PMCID: PMC5407337.
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Integration of a priori gene set information into genome-wide association studies.

BMC proceedings

Sohns M, Rosenberger A, Bickeböller H.
PMID: 20018092
BMC Proc. 2009 Dec 15;3:S95. doi: 10.1186/1753-6561-3-S7-S95.

In genome-wide association studies (GWAS) genetic markers are often ranked to select genes for further pursuit. Especially for moderately associated and interrelated genes, information on genes and pathways may improve the selection. We applied and combined two main approaches...

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Sohns M, Rosenberger A, Bickeböller H. Integration of a priori gene set information into genome-wide association studies. BMC Proc. 2009;3:S95doi: 10.1186/1753-6561-3-S7-S95.
Sohns, M., Rosenberger, A., & Bickeböller, H. (2009). Integration of a priori gene set information into genome-wide association studies. BMC proceedings, 3S95. https://doi.org/10.1186/1753-6561-3-S7-S95
Sohns, Melanie, et al. "Integration of a priori gene set information into genome-wide association studies." BMC proceedings vol. 3 (2009): S95. doi: https://doi.org/10.1186/1753-6561-3-S7-S95
Sohns M, Rosenberger A, Bickeböller H. Integration of a priori gene set information into genome-wide association studies. BMC Proc. 2009 Dec 15;3:S95. doi: 10.1186/1753-6561-3-S7-S95. PMID: 20018092; PMCID: PMC2795999.
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Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development.

Oncotarget

Li Y, Xiao X, Bossé Y, Gorlova O, Gorlov I, Han Y, Byun J, Leighl N, Johansen JS, Barnett M, Chen C, Goodman G, Cox A, Taylor F, Woll P, Wichmann HE, Manz J, Muley T, Risch A, Rosenberger A, Han J, Siminovitch K, Arnold SM, Haura EB, Bolca C, Holcatova I, Janout V, Kontic M, Lissowska J, Mukeria A, Ognjanovic S, Orlowski TM, Scelo G, Swiatkowska B, Zaridze D, Bakke P, Skaug V, Zienolddiny S, Duell EJ, Butler LM, Houlston R, Artigas MS, Grankvist K, Johansson M, Shepherd FA, Marcus MW, Brunnström H, Manjer J, Melander O, Muller DC, Overvad K, Trichopoulou A, Tumino R, Liu G, Bojesen SE, Wu X, Le Marchand L, Albanes D, Bickeböller H, Aldrich MC, Bush WS, Tardon A, Rennert G, Teare MD, Field JK, Kiemeney LA, Lazarus P, Haugen A, Lam S, Schabath MB, Andrew AS, Bertazzi PA, Pesatori AC, Christiani DC, Caporaso N, Johansson M, McKay JD, Brennan P, Hung RJ, Amos CI.
PMID: 30956756
Oncotarget. 2019 Mar 05;10(19):1760-1774. doi: 10.18632/oncotarget.26678. eCollection 2019 Mar 05.

The development of cancer is driven by the accumulation of many oncogenesis-related genetic alterations and tumorigenesis is triggered by complex networks of involved genes rather than independent actions. To explore the epistasis existing among oncogenesis-related genes in lung cancer...

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Li Y, Xiao X, Bossé Y, et al. Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development. Oncotarget. 2019;10(19):1760-1774doi: 10.18632/oncotarget.26678.
Li, Y., Xiao, X., Bossé, Y., Gorlova, O., Gorlov, I., Han, Y., Byun, J., Leighl, N., Johansen, J. S., Barnett, M., Chen, C., Goodman, G., Cox, A., Taylor, F., Woll, P., Wichmann, H. E., Manz, J., Muley, T., Risch, A., Rosenberger, A., Han, J., Siminovitch, K., Arnold, S. M., Haura, E. B., Bolca, C., Holcatova, I., Janout, V., Kontic, M., Lissowska, J., Mukeria, A., Ognjanovic, S., Orlowski, T. M., Scelo, G., Swiatkowska, B., Zaridze, D., Bakke, P., Skaug, V., Zienolddiny, S., Duell, E. J., Butler, L. M., Houlston, R., Artigas, M. S., Grankvist, K., Johansson, M., Shepherd, F. A., Marcus, M. W., Brunnström, H., Manjer, J., Melander, O., Muller, D. C., Overvad, K., Trichopoulou, A., Tumino, R., Liu, G., Bojesen, S. E., Wu, X., Le Marchand, L., Albanes, D., Bickeböller, H., Aldrich, M. C., Bush, W. S., Tardon, A., Rennert, G., Teare, M. D., Field, J. K., Kiemeney, L. A., Lazarus, P., Haugen, A., Lam, S., Schabath, M. B., Andrew, A. S., Bertazzi, P. A., Pesatori, A. C., Christiani, D. C., Caporaso, N., Johansson, M., McKay, J. D., Brennan, P., Hung, R. J., & Amos, C. I. (2019). Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development. Oncotarget, 10(19), 1760-1774. https://doi.org/10.18632/oncotarget.26678
Li, Yafang, et al. "Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development." Oncotarget vol. 10,19 (2019): 1760-1774. doi: https://doi.org/10.18632/oncotarget.26678
Li Y, Xiao X, Bossé Y, Gorlova O, Gorlov I, Han Y, Byun J, Leighl N, Johansen JS, Barnett M, Chen C, Goodman G, Cox A, Taylor F, Woll P, Wichmann HE, Manz J, Muley T, Risch A, Rosenberger A, Han J, Siminovitch K, Arnold SM, Haura EB, Bolca C, Holcatova I, Janout V, Kontic M, Lissowska J, Mukeria A, Ognjanovic S, Orlowski TM, Scelo G, Swiatkowska B, Zaridze D, Bakke P, Skaug V, Zienolddiny S, Duell EJ, Butler LM, Houlston R, Artigas MS, Grankvist K, Johansson M, Shepherd FA, Marcus MW, Brunnström H, Manjer J, Melander O, Muller DC, Overvad K, Trichopoulou A, Tumino R, Liu G, Bojesen SE, Wu X, Le Marchand L, Albanes D, Bickeböller H, Aldrich MC, Bush WS, Tardon A, Rennert G, Teare MD, Field JK, Kiemeney LA, Lazarus P, Haugen A, Lam S, Schabath MB, Andrew AS, Bertazzi PA, Pesatori AC, Christiani DC, Caporaso N, Johansson M, McKay JD, Brennan P, Hung RJ, Amos CI. Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development. Oncotarget. 2019 Mar 05;10(19):1760-1774. doi: 10.18632/oncotarget.26678. eCollection 2019 Mar 05. PMID: 30956756; PMCID: PMC6442994.
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Impact of the MICA-129Met/Val Dimorphism on NKG2D-Mediated Biological Functions and Disease Risks.

Frontiers in immunology

Isernhagen A, Malzahn D, Bickeböller H, Dressel R.
PMID: 28018354
Front Immunol. 2016 Dec 12;7:588. doi: 10.3389/fimmu.2016.00588. eCollection 2016.

The major histocompatibility complex (MHC) class I chain-related A (

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Isernhagen A, Malzahn D, Bickeböller H, et al. Impact of the MICA-129Met/Val Dimorphism on NKG2D-Mediated Biological Functions and Disease Risks. Front Immunol. 2016;7:588doi: 10.3389/fimmu.2016.00588.
Isernhagen, A., Malzahn, D., Bickeböller, H., & Dressel, R. (2016). Impact of the MICA-129Met/Val Dimorphism on NKG2D-Mediated Biological Functions and Disease Risks. Frontiers in immunology, 7588. https://doi.org/10.3389/fimmu.2016.00588
Isernhagen, Antje, et al. "Impact of the MICA-129Met/Val Dimorphism on NKG2D-Mediated Biological Functions and Disease Risks." Frontiers in immunology vol. 7 (2016): 588. doi: https://doi.org/10.3389/fimmu.2016.00588
Isernhagen A, Malzahn D, Bickeböller H, Dressel R. Impact of the MICA-129Met/Val Dimorphism on NKG2D-Mediated Biological Functions and Disease Risks. Front Immunol. 2016 Dec 12;7:588. doi: 10.3389/fimmu.2016.00588. eCollection 2016. PMID: 28018354; PMCID: PMC5149524.
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Erratum to: Hierarchical modeling identifies novel lung cancer susceptibility variants in inflammation pathways among 10,140 cases and 11,012 controls.

Human genetics

Brenner DR, Brennan P, Boffetta P, Amos CI, Spitz MR, Chen C, Goodman G, Heinrich J, Bickeböller H, Rosenberger A, Risch A, Muley T, McLaughlin JR, Benhamou S, Bouchardy C, Lewinger JP, Witte JS, Chen G, Bull S, Hung RJ.
PMID: 27264937
Hum Genet. 2016 Aug;135(8):963. doi: 10.1007/s00439-016-1692-4.

No abstract available.

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Brenner DR, Brennan P, Boffetta P, et al. Erratum to: Hierarchical modeling identifies novel lung cancer susceptibility variants in inflammation pathways among 10,140 cases and 11,012 controls. Hum Genet. 2016;135(8):963doi: 10.1007/s00439-016-1692-4.
Brenner, D. R., Brennan, P., Boffetta, P., Amos, C. I., Spitz, M. R., Chen, C., Goodman, G., Heinrich, J., Bickeböller, H., Rosenberger, A., Risch, A., Muley, T., McLaughlin, J. R., Benhamou, S., Bouchardy, C., Lewinger, J. P., Witte, J. S., Chen, G., Bull, S., & Hung, R. J. (2016). Erratum to: Hierarchical modeling identifies novel lung cancer susceptibility variants in inflammation pathways among 10,140 cases and 11,012 controls. Human genetics, 135(8), 963. https://doi.org/10.1007/s00439-016-1692-4
Brenner, Darren R, et al. "Erratum to: Hierarchical modeling identifies novel lung cancer susceptibility variants in inflammation pathways among 10,140 cases and 11,012 controls." Human genetics vol. 135,8 (2016): 963. doi: https://doi.org/10.1007/s00439-016-1692-4
Brenner DR, Brennan P, Boffetta P, Amos CI, Spitz MR, Chen C, Goodman G, Heinrich J, Bickeböller H, Rosenberger A, Risch A, Muley T, McLaughlin JR, Benhamou S, Bouchardy C, Lewinger JP, Witte JS, Chen G, Bull S, Hung RJ. Erratum to: Hierarchical modeling identifies novel lung cancer susceptibility variants in inflammation pathways among 10,140 cases and 11,012 controls. Hum Genet. 2016 Aug;135(8):963. doi: 10.1007/s00439-016-1692-4. PMID: 27264937.
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Tests for candidate-gene interaction for longitudinal quantitative traits measured in a large cohort.

BMC proceedings

Malzahn D, Balavarca Y, Lozano JP, Bickeböller H.
PMID: 20018076
BMC Proc. 2009 Dec 15;3:S80. doi: 10.1186/1753-6561-3-s7-s80.

For the Framingham Heart Study (FHS) and simulated FHS (FHSsim) data, we tested for gene-gene interaction in quantitative traits employing a longitudinal nonparametric association test (LNPT) and, for comparison, a survival analysis. We report results for the Offspring Cohort...

Cite
Malzahn D, Balavarca Y, Lozano JP, et al. Tests for candidate-gene interaction for longitudinal quantitative traits measured in a large cohort. BMC Proc. 2009;3:S80doi: 10.1186/1753-6561-3-s7-s80.
Malzahn, D., Balavarca, Y., Lozano, J. P., & Bickeböller, H. (2009). Tests for candidate-gene interaction for longitudinal quantitative traits measured in a large cohort. BMC proceedings, 3S80. https://doi.org/10.1186/1753-6561-3-s7-s80
Malzahn, Dörthe, et al. "Tests for candidate-gene interaction for longitudinal quantitative traits measured in a large cohort." BMC proceedings vol. 3 (2009): S80. doi: https://doi.org/10.1186/1753-6561-3-s7-s80
Malzahn D, Balavarca Y, Lozano JP, Bickeböller H. Tests for candidate-gene interaction for longitudinal quantitative traits measured in a large cohort. BMC Proc. 2009 Dec 15;3:S80. doi: 10.1186/1753-6561-3-s7-s80. PMID: 20018076; PMCID: PMC2795983.
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