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Recent genomic advances in schizophrenia.

Clinical genetics

Doherty JL, O'Donovan MC, Owen MJ.
PMID: 21895634
Clin Genet. 2012 Feb;81(2):103-9. doi: 10.1111/j.1399-0004.2011.01773.x. Epub 2011 Oct 05.

Recent studies have supported the hypothesis based upon expectations from population genetics that the high heritability of schizophrenia reflects a combination of relatively common alleles of small effect and rare alleles some with relatively large effects. Genome-wide association studies...

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Doherty JL, O'Donovan MC, Owen MJ. Recent genomic advances in schizophrenia. Clin Genet. 2011;81(2):103-9doi: 10.1111/j.1399-0004.2011.01773.x.
Doherty, J. L., O'Donovan, M. C., & Owen, M. J. (2012). Recent genomic advances in schizophrenia. Clinical genetics, 81(2), 103-9. https://doi.org/10.1111/j.1399-0004.2011.01773.x
Doherty, J L, et al. "Recent genomic advances in schizophrenia." Clinical genetics vol. 81,2 (2012): 103-9. doi: https://doi.org/10.1111/j.1399-0004.2011.01773.x
Doherty JL, O'Donovan MC, Owen MJ. Recent genomic advances in schizophrenia. Clin Genet. 2012 Feb;81(2):103-9. doi: 10.1111/j.1399-0004.2011.01773.x. Epub 2011 Oct 05. PMID: 21895634.
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Path to Personalized Medicine for Type 2 Diabetes Mellitus: Reality and Hope.

Acta medica Iranica

Aghaei Meybodi HR, Hasanzad M, Larijani B.
PMID: 28282717
Acta Med Iran. 2017 Mar;55(3):166-174.

Type 2 diabetes mellitus (T2DM) is recognized as a public health problem and increasingly prevalent illness. Key elements of the guideline for diabetes care are based on evidence-based medicine approach and apply for population, not individuals. However, individualized care...

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Aghaei Meybodi HR, Hasanzad M, Larijani B. Path to Personalized Medicine for Type 2 Diabetes Mellitus: Reality and Hope. Acta Med Iran. 2017;55(3):166-174
Aghaei Meybodi, H. R., Hasanzad, M., & Larijani, B. (2017). Path to Personalized Medicine for Type 2 Diabetes Mellitus: Reality and Hope. Acta medica Iranica, 55(3), 166-174.
Aghaei Meybodi, Hamid Reza, et al. "Path to Personalized Medicine for Type 2 Diabetes Mellitus: Reality and Hope." Acta medica Iranica vol. 55,3 (2017): 166-174.
Aghaei Meybodi HR, Hasanzad M, Larijani B. Path to Personalized Medicine for Type 2 Diabetes Mellitus: Reality and Hope. Acta Med Iran. 2017 Mar;55(3):166-174. PMID: 28282717.
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Controversy and debate on clinical genomics sequencing-paper 3: response to "clinical genome-wide sequencing: do not throw out the baby with the bathwater".

Journal of clinical epidemiology

Wilson BJ, Miller FA, Rousseau F.
PMID: 28912001
J Clin Epidemiol. 2017 Dec;92:11-12. doi: 10.1016/j.jclinepi.2017.08.019. Epub 2017 Sep 11.

No abstract available.

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Wilson BJ, Miller FA, Rousseau F. Controversy and debate on clinical genomics sequencing-paper 3: response to "clinical genome-wide sequencing: do not throw out the baby with the bathwater". J Clin Epidemiol. 2017;92:11-12doi: 10.1016/j.jclinepi.2017.08.019.
Wilson, B. J., Miller, F. A., & Rousseau, F. (2017). Controversy and debate on clinical genomics sequencing-paper 3: response to "clinical genome-wide sequencing: do not throw out the baby with the bathwater". Journal of clinical epidemiology, 9211-12. https://doi.org/10.1016/j.jclinepi.2017.08.019
Wilson, Brenda J, et al. "Controversy and debate on clinical genomics sequencing-paper 3: response to "clinical genome-wide sequencing: do not throw out the baby with the bathwater"." Journal of clinical epidemiology vol. 92 (2017): 11-12. doi: https://doi.org/10.1016/j.jclinepi.2017.08.019
Wilson BJ, Miller FA, Rousseau F. Controversy and debate on clinical genomics sequencing-paper 3: response to "clinical genome-wide sequencing: do not throw out the baby with the bathwater". J Clin Epidemiol. 2017 Dec;92:11-12. doi: 10.1016/j.jclinepi.2017.08.019. Epub 2017 Sep 11. PMID: 28912001.
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What Next in Schizophrenia Genetics for the Psychiatric Genomics Consortium?.

Schizophrenia bulletin

Corvin A, Sullivan PF.
PMID: 26994396
Schizophr Bull. 2016 May;42(3):538-41. doi: 10.1093/schbul/sbw014. Epub 2016 Mar 18.

No abstract available.

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Corvin A, Sullivan PF. What Next in Schizophrenia Genetics for the Psychiatric Genomics Consortium?. Schizophr Bull. 2016;42(3):538-41doi: 10.1093/schbul/sbw014.
Corvin, A., & Sullivan, P. F. (2016). What Next in Schizophrenia Genetics for the Psychiatric Genomics Consortium?. Schizophrenia bulletin, 42(3), 538-41. https://doi.org/10.1093/schbul/sbw014
Corvin, Aiden, and Sullivan, Patrick F. "What Next in Schizophrenia Genetics for the Psychiatric Genomics Consortium?." Schizophrenia bulletin vol. 42,3 (2016): 538-41. doi: https://doi.org/10.1093/schbul/sbw014
Corvin A, Sullivan PF. What Next in Schizophrenia Genetics for the Psychiatric Genomics Consortium?. Schizophr Bull. 2016 May;42(3):538-41. doi: 10.1093/schbul/sbw014. Epub 2016 Mar 18. PMID: 26994396; PMCID: PMC4838114.
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Efficient experimental design for uncertainty reduction in gene regulatory networks.

BMC bioinformatics

Dehghannasiri R, Yoon BJ, Dougherty ER.
PMID: 26423515
BMC Bioinformatics. 2015;16:S2. doi: 10.1186/1471-2105-16-S13-S2. Epub 2015 Sep 25.

BACKGROUND: An accurate understanding of interactions among genes plays a major role in developing therapeutic intervention methods. Gene regulatory networks often contain a significant amount of uncertainty. The process of prioritizing biological experiments to reduce the uncertainty of gene...

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Dehghannasiri R, Yoon BJ, Dougherty ER. Efficient experimental design for uncertainty reduction in gene regulatory networks. BMC Bioinformatics. 2015;16:S2doi: 10.1186/1471-2105-16-S13-S2.
Dehghannasiri, R., Yoon, B. J., & Dougherty, E. R. (2015). Efficient experimental design for uncertainty reduction in gene regulatory networks. BMC bioinformatics, 16S2. https://doi.org/10.1186/1471-2105-16-S13-S2
Dehghannasiri, Roozbeh, et al. "Efficient experimental design for uncertainty reduction in gene regulatory networks." BMC bioinformatics vol. 16 (2015): S2. doi: https://doi.org/10.1186/1471-2105-16-S13-S2
Dehghannasiri R, Yoon BJ, Dougherty ER. Efficient experimental design for uncertainty reduction in gene regulatory networks. BMC Bioinformatics. 2015;16:S2. doi: 10.1186/1471-2105-16-S13-S2. Epub 2015 Sep 25. PMID: 26423515; PMCID: PMC4597030.
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Dynamical modeling of uncertain interaction-based genomic networks.

BMC bioinformatics

Mohsenizadeh DN, Hua J, Bittner M, Dougherty ER.
PMID: 26423606
BMC Bioinformatics. 2015;16:S3. doi: 10.1186/1471-2105-16-S13-S3. Epub 2015 Sep 25.

BACKGROUND: Most dynamical models for genomic networks are built upon two current methodologies, one process-based and the other based on Boolean-type networks. Both are problematic when it comes to experimental design purposes in the laboratory. The first approach requires...

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Mohsenizadeh DN, Hua J, Bittner M, et al. Dynamical modeling of uncertain interaction-based genomic networks. BMC Bioinformatics. 2015;16:S3doi: 10.1186/1471-2105-16-S13-S3.
Mohsenizadeh, D. N., Hua, J., Bittner, M., & Dougherty, E. R. (2015). Dynamical modeling of uncertain interaction-based genomic networks. BMC bioinformatics, 16S3. https://doi.org/10.1186/1471-2105-16-S13-S3
Mohsenizadeh, Daniel N, et al. "Dynamical modeling of uncertain interaction-based genomic networks." BMC bioinformatics vol. 16 (2015): S3. doi: https://doi.org/10.1186/1471-2105-16-S13-S3
Mohsenizadeh DN, Hua J, Bittner M, Dougherty ER. Dynamical modeling of uncertain interaction-based genomic networks. BMC Bioinformatics. 2015;16:S3. doi: 10.1186/1471-2105-16-S13-S3. Epub 2015 Sep 25. PMID: 26423606; PMCID: PMC4596957.
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Enzyme Annotation and Metabolic Reconstruction Using KEGG.

Methods in molecular biology (Clifton, N.J.)

Kanehisa M.
PMID: 28451977
Methods Mol Biol. 2017;1611:135-145. doi: 10.1007/978-1-4939-7015-5_11.

KEGG is an integrated database resource for linking sequences to biological functions from molecular to higher levels. Knowledge on molecular functions is stored in the KO (KEGG Orthology) database, while cellular- and organism-level functions are represented in the PATHWAY...

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Kanehisa M. Enzyme Annotation and Metabolic Reconstruction Using KEGG. Methods Mol Biol. 2017;1611:135-145doi: 10.1007/978-1-4939-7015-5_11.
Kanehisa, M. (2017). Enzyme Annotation and Metabolic Reconstruction Using KEGG. Methods in molecular biology (Clifton, N.J.), 1611135-145. https://doi.org/10.1007/978-1-4939-7015-5_11
Kanehisa, Minoru. "Enzyme Annotation and Metabolic Reconstruction Using KEGG." Methods in molecular biology (Clifton, N.J.) vol. 1611 (2017): 135-145. doi: https://doi.org/10.1007/978-1-4939-7015-5_11
Kanehisa M. Enzyme Annotation and Metabolic Reconstruction Using KEGG. Methods Mol Biol. 2017;1611:135-145. doi: 10.1007/978-1-4939-7015-5_11. PMID: 28451977.
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Pathogen metadata platform: software for accessing and analyzing pathogen strain information.

BMC bioinformatics

Chang WE, Peterson MW, Garay CD, Korves T.
PMID: 27634291
BMC Bioinformatics. 2016 Sep 15;17(1):379. doi: 10.1186/s12859-016-1231-2.

BACKGROUND: Pathogen metadata includes information about where and when a pathogen was collected and the type of environment it came from. Along with genomic nucleotide sequence data, this metadata is growing rapidly and becoming a valuable resource not only...

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Chang WE, Peterson MW, Garay CD, et al. Pathogen metadata platform: software for accessing and analyzing pathogen strain information. BMC Bioinformatics. 2016;17(1):379doi: 10.1186/s12859-016-1231-2.
Chang, W. E., Peterson, M. W., Garay, C. D., & Korves, T. (2016). Pathogen metadata platform: software for accessing and analyzing pathogen strain information. BMC bioinformatics, 17(1), 379. https://doi.org/10.1186/s12859-016-1231-2
Chang, Wenling E, et al. "Pathogen metadata platform: software for accessing and analyzing pathogen strain information." BMC bioinformatics vol. 17,1 (2016): 379. doi: https://doi.org/10.1186/s12859-016-1231-2
Chang WE, Peterson MW, Garay CD, Korves T. Pathogen metadata platform: software for accessing and analyzing pathogen strain information. BMC Bioinformatics. 2016 Sep 15;17(1):379. doi: 10.1186/s12859-016-1231-2. PMID: 27634291; PMCID: PMC5025631.
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GENOMICS. A federated ecosystem for sharing genomic, clinical data.

Science (New York, N.Y.)

[No authors listed]
PMID: 27284183
Science. 2016 Jun 10;352(6291):1278-80. doi: 10.1126/science.aaf6162.

No abstract available.

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GENOMICS. A federated ecosystem for sharing genomic, clinical data. Science. 2016;352(6291):1278-80doi: 10.1126/science.aaf6162.
(2016). GENOMICS. A federated ecosystem for sharing genomic, clinical data. Science (New York, N.Y.), 352(6291), 1278-80. https://doi.org/10.1126/science.aaf6162
"GENOMICS. A federated ecosystem for sharing genomic, clinical data." Science (New York, N.Y.) vol. 352,6291 (2016): 1278-80. doi: https://doi.org/10.1126/science.aaf6162
GENOMICS. A federated ecosystem for sharing genomic, clinical data. Science. 2016 Jun 10;352(6291):1278-80. doi: 10.1126/science.aaf6162. PMID: 27284183.
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Quo Vadis clinical genomics of ASD?.

Autism : the international journal of research and practice

Tammimies K, Falck-Ytter T, Bölte S.
PMID: 27437550
Autism. 2016 Apr;20(3):259-61. doi: 10.1177/1362361316635798.

No abstract available.

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Tammimies K, Falck-Ytter T, Bölte S. Quo Vadis clinical genomics of ASD?. Autism. 2016;20(3):259-61doi: 10.1177/1362361316635798.
Tammimies, K., Falck-Ytter, T., & Bölte, S. (2016). Quo Vadis clinical genomics of ASD?. Autism : the international journal of research and practice, 20(3), 259-61. https://doi.org/10.1177/1362361316635798
Tammimies, Kristiina, et al. "Quo Vadis clinical genomics of ASD?." Autism : the international journal of research and practice vol. 20,3 (2016): 259-61. doi: https://doi.org/10.1177/1362361316635798
Tammimies K, Falck-Ytter T, Bölte S. Quo Vadis clinical genomics of ASD?. Autism. 2016 Apr;20(3):259-61. doi: 10.1177/1362361316635798. PMID: 27437550.
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Development of a curriculum in molecular diagnostics, genomics and personalized medicine for dermatology trainees.

Journal of cutaneous pathology

Murphy MJ, Shahriari N, Payette M, Mnayer L, Elaba Z.
PMID: 27328619
J Cutan Pathol. 2016 Oct;43(10):858-65. doi: 10.1111/cup.12760. Epub 2016 Jul 22.

BACKGROUND: Results of molecular studies are redefining the diagnosis and management of a wide range of skin disorders. Dermatology training programs maintain a relative gap in relevant teaching.OBJECTIVE: To develop a curriculum in molecular diagnostics, genomics and personalized medicine...

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Murphy MJ, Shahriari N, Payette M, et al. Development of a curriculum in molecular diagnostics, genomics and personalized medicine for dermatology trainees. J Cutan Pathol. 2016;43(10):858-65doi: 10.1111/cup.12760.
Murphy, M. J., Shahriari, N., Payette, M., Mnayer, L., & Elaba, Z. (2016). Development of a curriculum in molecular diagnostics, genomics and personalized medicine for dermatology trainees. Journal of cutaneous pathology, 43(10), 858-65. https://doi.org/10.1111/cup.12760
Murphy, Michael J, et al. "Development of a curriculum in molecular diagnostics, genomics and personalized medicine for dermatology trainees." Journal of cutaneous pathology vol. 43,10 (2016): 858-65. doi: https://doi.org/10.1111/cup.12760
Murphy MJ, Shahriari N, Payette M, Mnayer L, Elaba Z. Development of a curriculum in molecular diagnostics, genomics and personalized medicine for dermatology trainees. J Cutan Pathol. 2016 Oct;43(10):858-65. doi: 10.1111/cup.12760. Epub 2016 Jul 22. PMID: 27328619.
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Journal of Genetics and Genomics in Transition.

Journal of genetics and genomics = Yi chuan xue bao

Xue Y.
PMID: 26842988
J Genet Genomics. 2016 Jan 20;43(1):1-2. doi: 10.1016/j.jgg.2016.01.006.

No abstract available.

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Xue Y. Journal of Genetics and Genomics in Transition. J Genet Genomics. 2016;43(1):1-2doi: 10.1016/j.jgg.2016.01.006.
Xue, Y. (2016). Journal of Genetics and Genomics in Transition. Journal of genetics and genomics = Yi chuan xue bao, 43(1), 1-2. https://doi.org/10.1016/j.jgg.2016.01.006
Xue, Yongbiao. "Journal of Genetics and Genomics in Transition." Journal of genetics and genomics = Yi chuan xue bao vol. 43,1 (2016): 1-2. doi: https://doi.org/10.1016/j.jgg.2016.01.006
Xue Y. Journal of Genetics and Genomics in Transition. J Genet Genomics. 2016 Jan 20;43(1):1-2. doi: 10.1016/j.jgg.2016.01.006. PMID: 26842988.
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Showing 1 to 12 of 1394 entries