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[Molecular pathogenesis of Crohn's disease].

Nihon Shokakibyo Gakkai zasshi = The Japanese journal of gastro-enterology

Kinouchi Y, Takahashi S, Shimosegawa T.
PMID: 20530920
Nihon Shokakibyo Gakkai Zasshi. 2010 Jun;107(6):855-62.

No abstract available.

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Kinouchi Y, Takahashi S, Shimosegawa T. [Molecular pathogenesis of Crohn's disease]. Nihon Shokakibyo Gakkai Zasshi. 2010;107(6):855-62
Kinouchi, Y., Takahashi, S., & Shimosegawa, T. (2010). [Molecular pathogenesis of Crohn's disease]. Nihon Shokakibyo Gakkai zasshi = The Japanese journal of gastro-enterology, 107(6), 855-62.
Kinouchi, Yoshitaka, et al. "[Molecular pathogenesis of Crohn's disease]." Nihon Shokakibyo Gakkai zasshi = The Japanese journal of gastro-enterology vol. 107,6 (2010): 855-62.
Kinouchi Y, Takahashi S, Shimosegawa T. [Molecular pathogenesis of Crohn's disease]. Nihon Shokakibyo Gakkai Zasshi. 2010 Jun;107(6):855-62. Japanese. PMID: 20530920.
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Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases.

Artificial intelligence in medicine

Mukhopadhyay S, Palakal M, Maddu K.
PMID: 20382004
Artif Intell Med. 2010 Jul;49(3):145-54. doi: 10.1016/j.artmed.2010.03.002. Epub 2010 Apr 09.

OBJECTIVES: Biological research literature, as in many other domains of human endeavor, represents a rich, ever growing source of knowledge. An important form of such biological knowledge constitutes associations among biological entities such as genes, proteins, diseases, drugs and...

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Mukhopadhyay S, Palakal M, Maddu K. Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases. Artif Intell Med. 2010;49(3):145-54doi: 10.1016/j.artmed.2010.03.002.
Mukhopadhyay, S., Palakal, M., & Maddu, K. (2010). Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases. Artificial intelligence in medicine, 49(3), 145-54. https://doi.org/10.1016/j.artmed.2010.03.002
Mukhopadhyay, Snehasis, et al. "Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases." Artificial intelligence in medicine vol. 49,3 (2010): 145-54. doi: https://doi.org/10.1016/j.artmed.2010.03.002
Mukhopadhyay S, Palakal M, Maddu K. Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases. Artif Intell Med. 2010 Jul;49(3):145-54. doi: 10.1016/j.artmed.2010.03.002. Epub 2010 Apr 09. PMID: 20382004.
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Response to Mitchell and Porteus.

Molecular psychiatry

Sullivan PF, Gejman PV.
PMID: 20351723
Mol Psychiatry. 2010 May;15(5):450-2. doi: 10.1038/mp.2009.106.

No abstract available.

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Sullivan PF, Gejman PV. Response to Mitchell and Porteus. Mol Psychiatry. 2010;15(5):450-2doi: 10.1038/mp.2009.106.
Sullivan, P. F., & Gejman, P. V. (2010). Response to Mitchell and Porteus. Molecular psychiatry, 15(5), 450-2. https://doi.org/10.1038/mp.2009.106
Sullivan, P F, and Gejman, P V. "Response to Mitchell and Porteus." Molecular psychiatry vol. 15,5 (2010): 450-2. doi: https://doi.org/10.1038/mp.2009.106
Sullivan PF, Gejman PV. Response to Mitchell and Porteus. Mol Psychiatry. 2010 May;15(5):450-2. doi: 10.1038/mp.2009.106. PMID: 20351723; PMCID: PMC4188919.
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New findings from genetic association studies of schizophrenia.

Journal of human genetics

Williams HJ, Owen MJ, O'Donovan MC.
PMID: 19158819
J Hum Genet. 2009 Jan;54(1):9-14. doi: 10.1038/jhg.2008.7. Epub 2009 Jan 09.

In the past 20 years, association studies of schizophrenia have evolved from analyses in lesser than 100 subjects of one or two markers in candidate genes to systematic analyses of association at a genome-wide level in samples of thousands...

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Williams HJ, Owen MJ, O'Donovan MC. New findings from genetic association studies of schizophrenia. J Hum Genet. 2009;54(1):9-14doi: 10.1038/jhg.2008.7.
Williams, H. J., Owen, M. J., & O'Donovan, M. C. (2009). New findings from genetic association studies of schizophrenia. Journal of human genetics, 54(1), 9-14. https://doi.org/10.1038/jhg.2008.7
Williams, Hywel J, et al. "New findings from genetic association studies of schizophrenia." Journal of human genetics vol. 54,1 (2009): 9-14. doi: https://doi.org/10.1038/jhg.2008.7
Williams HJ, Owen MJ, O'Donovan MC. New findings from genetic association studies of schizophrenia. J Hum Genet. 2009 Jan;54(1):9-14. doi: 10.1038/jhg.2008.7. Epub 2009 Jan 09. PMID: 19158819.
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Exploring genetic susceptibility to cancer in diverse populations.

Current opinion in genetics & development

Haiman CA, Stram DO.
PMID: 20359883
Curr Opin Genet Dev. 2010 Jun;20(3):330-5. doi: 10.1016/j.gde.2010.02.007. Epub 2010 Mar 30.

Incidence rates for many cancers differ markedly by race/ethnicity and furthering our understanding of the genetic and environmental causes of such disparities is a scientific and public health need. Genome-wide association studies (GWAS) are widely acknowledged to provide important...

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Haiman CA, Stram DO. Exploring genetic susceptibility to cancer in diverse populations. Curr Opin Genet Dev. 2010;20(3):330-5doi: 10.1016/j.gde.2010.02.007.
Haiman, C. A., & Stram, D. O. (2010). Exploring genetic susceptibility to cancer in diverse populations. Current opinion in genetics & development, 20(3), 330-5. https://doi.org/10.1016/j.gde.2010.02.007
Haiman, Christopher A, and Stram, Daniel O. "Exploring genetic susceptibility to cancer in diverse populations." Current opinion in genetics & development vol. 20,3 (2010): 330-5. doi: https://doi.org/10.1016/j.gde.2010.02.007
Haiman CA, Stram DO. Exploring genetic susceptibility to cancer in diverse populations. Curr Opin Genet Dev. 2010 Jun;20(3):330-5. doi: 10.1016/j.gde.2010.02.007. Epub 2010 Mar 30. PMID: 20359883; PMCID: PMC4196678.
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Genetic architecture of complex traits predisposing to nephropathy: hypertension.

Seminars in nephrology

Hunt SC.
PMID: 20347644
Semin Nephrol. 2010 Mar;30(2):150-63. doi: 10.1016/j.semnephrol.2010.01.006.

Blood pressure and hypertension have significant genetic underpinnings that may be age-dependent. The age-dependency, significant contributions from environmental factors such as diet and exercise, and inherent moment-to-moment variability complicate the identification of the genes contributing to the development of...

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Hunt SC. Genetic architecture of complex traits predisposing to nephropathy: hypertension. Semin Nephrol. 2010;30(2):150-63doi: 10.1016/j.semnephrol.2010.01.006.
Hunt, S. C. (2010). Genetic architecture of complex traits predisposing to nephropathy: hypertension. Seminars in nephrology, 30(2), 150-63. https://doi.org/10.1016/j.semnephrol.2010.01.006
Hunt, Steven C. "Genetic architecture of complex traits predisposing to nephropathy: hypertension." Seminars in nephrology vol. 30,2 (2010): 150-63. doi: https://doi.org/10.1016/j.semnephrol.2010.01.006
Hunt SC. Genetic architecture of complex traits predisposing to nephropathy: hypertension. Semin Nephrol. 2010 Mar;30(2):150-63. doi: 10.1016/j.semnephrol.2010.01.006. PMID: 20347644; PMCID: PMC2848968.
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Feasible and successful: genome-wide interaction analysis involving all 1.9 x 10(11) pair-wise interaction tests.

Human heredity

Steffens M, Becker T, Sander T, Fimmers R, Herold C, Holler DA, Leu C, Herms S, Cichon S, Bohn B, Gerstner T, Griebel M, Nöthen MM, Wienker TF, Baur MP.
PMID: 20357478
Hum Hered. 2010;69(4):268-84. doi: 10.1159/000295896. Epub 2010 Mar 31.

The Genome-Wide Association Study (GWAS) is the study design of choice for detecting common genetic risk factors for multifactorial diseases. The performance of full Genome-Wide Interaction Analyses (GWIA) has always been considered computationally challenging. Two-stage strategies to reduce the...

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Steffens M, Becker T, Sander T, et al. Feasible and successful: genome-wide interaction analysis involving all 1.9 x 10(11) pair-wise interaction tests. Hum Hered. 2010;69(4):268-84doi: 10.1159/000295896.
Steffens, M., Becker, T., Sander, T., Fimmers, R., Herold, C., Holler, D. A., Leu, C., Herms, S., Cichon, S., Bohn, B., Gerstner, T., Griebel, M., Nöthen, M. M., Wienker, T. F., & Baur, M. P. (2010). Feasible and successful: genome-wide interaction analysis involving all 1.9 x 10(11) pair-wise interaction tests. Human heredity, 69(4), 268-84. https://doi.org/10.1159/000295896
Steffens, Michael, et al. "Feasible and successful: genome-wide interaction analysis involving all 1.9 x 10(11) pair-wise interaction tests." Human heredity vol. 69,4 (2010): 268-84. doi: https://doi.org/10.1159/000295896
Steffens M, Becker T, Sander T, Fimmers R, Herold C, Holler DA, Leu C, Herms S, Cichon S, Bohn B, Gerstner T, Griebel M, Nöthen MM, Wienker TF, Baur MP. Feasible and successful: genome-wide interaction analysis involving all 1.9 x 10(11) pair-wise interaction tests. Hum Hered. 2010;69(4):268-84. doi: 10.1159/000295896. Epub 2010 Mar 31. PMID: 20357478.
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Genetics of type 2 diabetes: the GWAS era and future perspectives [Review].

Endocrine journal

Imamura M, Maeda S.
PMID: 21778616
Endocr J. 2011;58(9):723-39. doi: 10.1507/endocrj.ej11-0113. Epub 2011 Jul 20.

Genome-wide association studies (GWAS) have facilitated a substantial and rapid rise in the number of confirmed genetic susceptibility variants for type 2 diabetes (T2D). Approximately 40 variants have been identified so far, many of which were discovered through GWAS....

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Imamura M, Maeda S. Genetics of type 2 diabetes: the GWAS era and future perspectives [Review]. Endocr J. 2011;58(9):723-39doi: 10.1507/endocrj.ej11-0113.
Imamura, M., & Maeda, S. (2011). Genetics of type 2 diabetes: the GWAS era and future perspectives [Review]. Endocrine journal, 58(9), 723-39. https://doi.org/10.1507/endocrj.ej11-0113
Imamura, Minako, and Maeda, Shiro. "Genetics of type 2 diabetes: the GWAS era and future perspectives [Review]." Endocrine journal vol. 58,9 (2011): 723-39. doi: https://doi.org/10.1507/endocrj.ej11-0113
Imamura M, Maeda S. Genetics of type 2 diabetes: the GWAS era and future perspectives [Review]. Endocr J. 2011;58(9):723-39. doi: 10.1507/endocrj.ej11-0113. Epub 2011 Jul 20. PMID: 21778616.
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[Diabetes susceptibility genes].

Nihon rinsho. Japanese journal of clinical medicine

Kasuga M.
PMID: 19507498
Nihon Rinsho. 2009 Jun;67(6):1090-4.

Type 2 diabetes mellitus is a complex polygenic disorder in which common genetics variants interact with environmental factors. Genome-wide association study(GWAS) revealed more than 10 diabetes susceptibility loci for type 2 diabetes mellitus including SNPs in KCNQ1, which was...

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Kasuga M. [Diabetes susceptibility genes]. Nihon Rinsho. 2009;67(6):1090-4
Kasuga, M. (2009). [Diabetes susceptibility genes]. Nihon rinsho. Japanese journal of clinical medicine, 67(6), 1090-4.
Kasuga, Masato. "[Diabetes susceptibility genes]." Nihon rinsho. Japanese journal of clinical medicine vol. 67,6 (2009): 1090-4.
Kasuga M. [Diabetes susceptibility genes]. Nihon Rinsho. 2009 Jun;67(6):1090-4. Japanese. PMID: 19507498.
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An automated reasoning framework for translational research.

Journal of biomedical informatics

Riva A, Nuzzo A, Stefanelli M, Bellazzi R.
PMID: 19931420
J Biomed Inform. 2010 Jun;43(3):419-27. doi: 10.1016/j.jbi.2009.11.005. Epub 2009 Nov 18.

In this paper we propose a novel approach to the design and implementation of knowledge-based decision support systems for translational research, specifically tailored to the analysis and interpretation of data from high-throughput experiments. Our approach is based on a...

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Riva A, Nuzzo A, Stefanelli M, et al. An automated reasoning framework for translational research. J Biomed Inform. 2009;43(3):419-27doi: 10.1016/j.jbi.2009.11.005.
Riva, A., Nuzzo, A., Stefanelli, M., & Bellazzi, R. (2010). An automated reasoning framework for translational research. Journal of biomedical informatics, 43(3), 419-27. https://doi.org/10.1016/j.jbi.2009.11.005
Riva, Alberto, et al. "An automated reasoning framework for translational research." Journal of biomedical informatics vol. 43,3 (2010): 419-27. doi: https://doi.org/10.1016/j.jbi.2009.11.005
Riva A, Nuzzo A, Stefanelli M, Bellazzi R. An automated reasoning framework for translational research. J Biomed Inform. 2010 Jun;43(3):419-27. doi: 10.1016/j.jbi.2009.11.005. Epub 2009 Nov 18. PMID: 19931420; PMCID: PMC2878845.
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Human genetics: pleiotropic mutations.

Nature reviews. Genetics

Stower H.
PMID: 22143242
Nat Rev Genet. 2011 Dec 06;13(1):5. doi: 10.1038/nrg3132.

No abstract available.

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Stower H. Human genetics: pleiotropic mutations. Nat Rev Genet. 2011;13(1):5doi: 10.1038/nrg3132.
Stower, H. (2011). Human genetics: pleiotropic mutations. Nature reviews. Genetics, 13(1), 5. https://doi.org/10.1038/nrg3132
Stower, Hannah. "Human genetics: pleiotropic mutations." Nature reviews. Genetics vol. 13,1 (2011): 5. doi: https://doi.org/10.1038/nrg3132
Stower H. Human genetics: pleiotropic mutations. Nat Rev Genet. 2011 Dec 06;13(1):5. doi: 10.1038/nrg3132. PMID: 22143242.
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Performance of genotype imputations using data from the 1000 Genomes Project.

Human heredity

Sung YJ, Wang L, Rankinen T, Bouchard C, Rao DC.
PMID: 22212296
Hum Hered. 2012;73(1):18-25. doi: 10.1159/000334084. Epub 2011 Dec 30.

Genotype imputations based on 1000 Genomes (1KG) Project data have the advantage of imputing many more SNPs than imputations based on HapMap data. It also provides an opportunity to discover associations with relatively rare variants. Recent investigations are increasingly...

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Sung YJ, Wang L, Rankinen T, et al. Performance of genotype imputations using data from the 1000 Genomes Project. Hum Hered. 2011;73(1):18-25doi: 10.1159/000334084.
Sung, Y. J., Wang, L., Rankinen, T., Bouchard, C., & Rao, D. C. (2012). Performance of genotype imputations using data from the 1000 Genomes Project. Human heredity, 73(1), 18-25. https://doi.org/10.1159/000334084
Sung, Yun Ju, et al. "Performance of genotype imputations using data from the 1000 Genomes Project." Human heredity vol. 73,1 (2012): 18-25. doi: https://doi.org/10.1159/000334084
Sung YJ, Wang L, Rankinen T, Bouchard C, Rao DC. Performance of genotype imputations using data from the 1000 Genomes Project. Hum Hered. 2012;73(1):18-25. doi: 10.1159/000334084. Epub 2011 Dec 30. PMID: 22212296; PMCID: PMC3322630.
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Showing 25 to 36 of 461 entries