Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 13 to 24 of 461 entries
Sorted by: Best Match Show Resources per page
Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population.

BMC medical genomics

Wang S, Jeong HH, Kim D, Wee K, Park HS, Kim SH, Sohn KA.
PMID: 28589859
BMC Med Genomics. 2017 May 24;10:31. doi: 10.1186/s12920-017-0266-1.

BACKGROUND: Aspirin Exacerbated Respiratory Disease (AERD) is a chronic medical condition that encompasses asthma, nasal polyposis, and hypersensitivity to aspirin and other non-steroidal anti-inflammatory drugs. Several previous studies have shown that part of the genetic effects of the disease...

Cite
Wang S, Jeong HH, Kim D, et al. Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population. BMC Med Genomics. 2017;10:31doi: 10.1186/s12920-017-0266-1.
Wang, S., Jeong, H. H., Kim, D., Wee, K., Park, H. S., Kim, S. H., & Sohn, K. A. (2017). Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population. BMC medical genomics, 1031. https://doi.org/10.1186/s12920-017-0266-1
Wang, Sehee, et al. "Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population." BMC medical genomics vol. 10 (2017): 31. doi: https://doi.org/10.1186/s12920-017-0266-1
Wang S, Jeong HH, Kim D, Wee K, Park HS, Kim SH, Sohn KA. Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population. BMC Med Genomics. 2017 May 24;10:31. doi: 10.1186/s12920-017-0266-1. PMID: 28589859; PMCID: PMC5461529.
Copy Download .nbib Format: NLM
A general approach for combining diverse rare variant association tests provides improved robustness across a wider range of genetic architectures.

European journal of human genetics : EJHG

Greco B, Hainline A, Arbet J, Grinde K, Benitez A, Tintle N.
PMID: 26508571
Eur J Hum Genet. 2016 May;24(5):767-73. doi: 10.1038/ejhg.2015.194. Epub 2015 Oct 28.

The widespread availability of genome sequencing data made possible by way of next-generation technologies has yielded a flood of different gene-based rare variant association tests. Most of these tests have been published because they have superior power for particular...

Cite
Greco B, Hainline A, Arbet J, et al. A general approach for combining diverse rare variant association tests provides improved robustness across a wider range of genetic architectures. Eur J Hum Genet. 2015;24(5):767-73doi: 10.1038/ejhg.2015.194.
Greco, B., Hainline, A., Arbet, J., Grinde, K., Benitez, A., & Tintle, N. (2016). A general approach for combining diverse rare variant association tests provides improved robustness across a wider range of genetic architectures. European journal of human genetics : EJHG, 24(5), 767-73. https://doi.org/10.1038/ejhg.2015.194
Greco, Brian, et al. "A general approach for combining diverse rare variant association tests provides improved robustness across a wider range of genetic architectures." European journal of human genetics : EJHG vol. 24,5 (2016): 767-73. doi: https://doi.org/10.1038/ejhg.2015.194
Greco B, Hainline A, Arbet J, Grinde K, Benitez A, Tintle N. A general approach for combining diverse rare variant association tests provides improved robustness across a wider range of genetic architectures. Eur J Hum Genet. 2016 May;24(5):767-73. doi: 10.1038/ejhg.2015.194. Epub 2015 Oct 28. PMID: 26508571; PMCID: PMC4930097.
Copy Download .nbib Format: NLM
GWAS-linked PPARGC1A variant in Asian patients with essential tremor.

Brain : a journal of neurology

Xiao B, Deng X, Ng EY, Tio M, Prakash KM, Au WL, Tan L, Zhao Y, Tan EK.
PMID: 28334983
Brain. 2017 Apr 01;140(4):e24. doi: 10.1093/brain/awx027.

No abstract available.

Cite
Xiao B, Deng X, Ng EY, et al. GWAS-linked PPARGC1A variant in Asian patients with essential tremor. Brain. 2017;140(4):e24doi: 10.1093/brain/awx027.
Xiao, B., Deng, X., Ng, E. Y., Tio, M., Prakash, K. M., Au, W. L., Tan, L., Zhao, Y., & Tan, E. K. (2017). GWAS-linked PPARGC1A variant in Asian patients with essential tremor. Brain : a journal of neurology, 140(4), e24. https://doi.org/10.1093/brain/awx027
Xiao, Bin, et al. "GWAS-linked PPARGC1A variant in Asian patients with essential tremor." Brain : a journal of neurology vol. 140,4 (2017): e24. doi: https://doi.org/10.1093/brain/awx027
Xiao B, Deng X, Ng EY, Tio M, Prakash KM, Au WL, Tan L, Zhao Y, Tan EK. GWAS-linked PPARGC1A variant in Asian patients with essential tremor. Brain. 2017 Apr 01;140(4):e24. doi: 10.1093/brain/awx027. PMID: 28334983.
Copy Download .nbib Format: NLM
A HuGE Review and Meta-Analyses of Genetic Associations in New Onset Diabetes after Kidney Transplantation.

PloS one

Benson KA, Maxwell AP, McKnight AJ.
PMID: 26789123
PLoS One. 2016 Jan 20;11(1):e0147323. doi: 10.1371/journal.pone.0147323. eCollection 2016.

PURPOSE: New onset diabetes after transplantation (NODAT) is a serious complication following solid organ transplantation. There is a genetic contribution to NODAT and we have conducted comprehensive meta-analysis of available genetic data in kidney transplant populations.METHODS: Relevant articles investigating...

Cite
Benson KA, Maxwell AP, McKnight AJ. A HuGE Review and Meta-Analyses of Genetic Associations in New Onset Diabetes after Kidney Transplantation. PLoS One. 2016;11(1):e0147323doi: 10.1371/journal.pone.0147323.
Benson, K. A., Maxwell, A. P., & McKnight, A. J. (2016). A HuGE Review and Meta-Analyses of Genetic Associations in New Onset Diabetes after Kidney Transplantation. PloS one, 11(1), e0147323. https://doi.org/10.1371/journal.pone.0147323
Benson, Katherine Angela, et al. "A HuGE Review and Meta-Analyses of Genetic Associations in New Onset Diabetes after Kidney Transplantation." PloS one vol. 11,1 (2016): e0147323. doi: https://doi.org/10.1371/journal.pone.0147323
Benson KA, Maxwell AP, McKnight AJ. A HuGE Review and Meta-Analyses of Genetic Associations in New Onset Diabetes after Kidney Transplantation. PLoS One. 2016 Jan 20;11(1):e0147323. doi: 10.1371/journal.pone.0147323. eCollection 2016. PMID: 26789123; PMCID: PMC4720424.
Copy Download .nbib Format: NLM
Network-Based Analysis of Schizophrenia Genome-Wide Association Data to Detect the Joint Functional Association Signals.

PloS one

Chang S, Fang K, Zhang K, Wang J.
PMID: 26193471
PLoS One. 2015 Jul 20;10(7):e0133404. doi: 10.1371/journal.pone.0133404. eCollection 2015.

Schizophrenia is a common psychiatric disorder with high heritability and complex genetic architecture. Genome-wide association studies (GWAS) have identified several significant loci associated with schizophrenia. However, the explained heritability is still low. Growing evidence has shown schizophrenia is attributable...

Cite
Chang S, Fang K, Zhang K, et al. Network-Based Analysis of Schizophrenia Genome-Wide Association Data to Detect the Joint Functional Association Signals. PLoS One. 2015;10(7):e0133404doi: 10.1371/journal.pone.0133404.
Chang, S., Fang, K., Zhang, K., & Wang, J. (2015). Network-Based Analysis of Schizophrenia Genome-Wide Association Data to Detect the Joint Functional Association Signals. PloS one, 10(7), e0133404. https://doi.org/10.1371/journal.pone.0133404
Chang, Suhua, et al. "Network-Based Analysis of Schizophrenia Genome-Wide Association Data to Detect the Joint Functional Association Signals." PloS one vol. 10,7 (2015): e0133404. doi: https://doi.org/10.1371/journal.pone.0133404
Chang S, Fang K, Zhang K, Wang J. Network-Based Analysis of Schizophrenia Genome-Wide Association Data to Detect the Joint Functional Association Signals. PLoS One. 2015 Jul 20;10(7):e0133404. doi: 10.1371/journal.pone.0133404. eCollection 2015. PMID: 26193471; PMCID: PMC4508050.
Copy Download .nbib Format: NLM
Author response: A genome-wide association study in multiple system atrophy.

Neurology

Scholz SW, Houlden H.
PMID: 28348123
Neurology. 2017 Mar 28;88(13):1296-1297. doi: 10.1212/WNL.0000000000003783.

No abstract available.

Cite
Scholz SW, Houlden H. Author response: A genome-wide association study in multiple system atrophy. Neurology. 2017;88(13):1296-1297doi: 10.1212/WNL.0000000000003783.
Scholz, S. W., & Houlden, H. (2017). Author response: A genome-wide association study in multiple system atrophy. Neurology, 88(13), 1296-1297. https://doi.org/10.1212/WNL.0000000000003783
Scholz, Sonja W, and Houlden, Henry. "Author response: A genome-wide association study in multiple system atrophy." Neurology vol. 88,13 (2017): 1296-1297. doi: https://doi.org/10.1212/WNL.0000000000003783
Scholz SW, Houlden H. Author response: A genome-wide association study in multiple system atrophy. Neurology. 2017 Mar 28;88(13):1296-1297. doi: 10.1212/WNL.0000000000003783. PMID: 28348123.
Copy Download .nbib Format: NLM
Unique characteristics of the Ainu population in Northern Japan.

Journal of human genetics

Jinam TA, Kanzawa-Kiriyama H, Inoue I, Tokunaga K, Omoto K, Saitou N.
PMID: 26178428
J Hum Genet. 2015 Oct;60(10):565-71. doi: 10.1038/jhg.2015.79. Epub 2015 Jul 16.

Various genetic data (classic markers, mitochondrial DNAs, Y chromosomes and genome-wide single-nucleotide polymorphisms (SNPs)) have confirmed the coexistence of three major human populations on the Japanese Archipelago: Ainu in Hokkaido, Ryukyuans in the Southern Islands and Mainland Japanese. We...

Cite
Jinam TA, Kanzawa-Kiriyama H, Inoue I, et al. Unique characteristics of the Ainu population in Northern Japan. J Hum Genet. 2015;60(10):565-71doi: 10.1038/jhg.2015.79.
Jinam, T. A., Kanzawa-Kiriyama, H., Inoue, I., Tokunaga, K., Omoto, K., & Saitou, N. (2015). Unique characteristics of the Ainu population in Northern Japan. Journal of human genetics, 60(10), 565-71. https://doi.org/10.1038/jhg.2015.79
Jinam, Timothy A, et al. "Unique characteristics of the Ainu population in Northern Japan." Journal of human genetics vol. 60,10 (2015): 565-71. doi: https://doi.org/10.1038/jhg.2015.79
Jinam TA, Kanzawa-Kiriyama H, Inoue I, Tokunaga K, Omoto K, Saitou N. Unique characteristics of the Ainu population in Northern Japan. J Hum Genet. 2015 Oct;60(10):565-71. doi: 10.1038/jhg.2015.79. Epub 2015 Jul 16. PMID: 26178428.
Copy Download .nbib Format: NLM
Genetic determinants of depression: recent findings and future directions.

Harvard review of psychiatry

Dunn EC, Brown RC, Dai Y, Rosand J, Nugent NR, Amstadter AB, Smoller JW.
PMID: 25563565
Harv Rev Psychiatry. 2015 Jan-Feb;23(1):1-18. doi: 10.1097/HRP.0000000000000054.

LEARNING OBJECTIVES: After participating in this activity, learners should be better able to: 1. Evaluate current evidence regarding the genetic determinants of depression 2. Assess findings from studies of gene-environment interaction 3. Identify challenges to gene discovery in depression...

Cite
Dunn EC, Brown RC, Dai Y, et al. Genetic determinants of depression: recent findings and future directions. Harv Rev Psychiatry. 2015;23(1):1-18doi: 10.1097/HRP.0000000000000054.
Dunn, E. C., Brown, R. C., Dai, Y., Rosand, J., Nugent, N. R., Amstadter, A. B., & Smoller, J. W. (2015). Genetic determinants of depression: recent findings and future directions. Harvard review of psychiatry, 23(1), 1-18. https://doi.org/10.1097/HRP.0000000000000054
Dunn, Erin C, et al. "Genetic determinants of depression: recent findings and future directions." Harvard review of psychiatry vol. 23,1 (2015): 1-18. doi: https://doi.org/10.1097/HRP.0000000000000054
Dunn EC, Brown RC, Dai Y, Rosand J, Nugent NR, Amstadter AB, Smoller JW. Genetic determinants of depression: recent findings and future directions. Harv Rev Psychiatry. 2015 Jan-Feb;23(1):1-18. doi: 10.1097/HRP.0000000000000054. PMID: 25563565; PMCID: PMC4309382.
Copy Download .nbib Format: NLM
P < 5 × 10(-8) has emerged as a standard of statistical significance for genome-wide association studies.

Journal of clinical epidemiology

Jannot AS, Ehret G, Perneger T.
PMID: 25666886
J Clin Epidemiol. 2015 Apr;68(4):460-5. doi: 10.1016/j.jclinepi.2015.01.001. Epub 2015 Jan 09.

OBJECTIVES: In genome-wide association studies (GWASs), the practice regarding the choice of thresholds of significance and of thresholds used to include single nucleotide polymorphisms (SNPs) in a further validation stage is not well known. Here, we performed a systematic...

Cite
Jannot AS, Ehret G, Perneger T. P < 5 × 10(-8) has emerged as a standard of statistical significance for genome-wide association studies. J Clin Epidemiol. 2015;68(4):460-5doi: 10.1016/j.jclinepi.2015.01.001.
Jannot, A. S., Ehret, G., & Perneger, T. (2015). P < 5 × 10(-8) has emerged as a standard of statistical significance for genome-wide association studies. Journal of clinical epidemiology, 68(4), 460-5. https://doi.org/10.1016/j.jclinepi.2015.01.001
Jannot, Anne-Sophie, et al. "P < 5 × 10(-8) has emerged as a standard of statistical significance for genome-wide association studies." Journal of clinical epidemiology vol. 68,4 (2015): 460-5. doi: https://doi.org/10.1016/j.jclinepi.2015.01.001
Jannot AS, Ehret G, Perneger T. P < 5 × 10(-8) has emerged as a standard of statistical significance for genome-wide association studies. J Clin Epidemiol. 2015 Apr;68(4):460-5. doi: 10.1016/j.jclinepi.2015.01.001. Epub 2015 Jan 09. PMID: 25666886.
Copy Download .nbib Format: NLM
DISEASES: text mining and data integration of disease-gene associations.

Methods (San Diego, Calif.)

Pletscher-Frankild S, Pallejà A, Tsafou K, Binder JX, Jensen LJ.
PMID: 25484339
Methods. 2015 Mar;74:83-9. doi: 10.1016/j.ymeth.2014.11.020. Epub 2014 Dec 05.

Text mining is a flexible technology that can be applied to numerous different tasks in biology and medicine. We present a system for extracting disease-gene associations from biomedical abstracts. The system consists of a highly efficient dictionary-based tagger for...

Cite
Pletscher-Frankild S, Pallejà A, Tsafou K, et al. DISEASES: text mining and data integration of disease-gene associations. Methods. 2014;74:83-9doi: 10.1016/j.ymeth.2014.11.020.
Pletscher-Frankild, S., Pallejà, A., Tsafou, K., Binder, J. X., & Jensen, L. J. (2015). DISEASES: text mining and data integration of disease-gene associations. Methods (San Diego, Calif.), 7483-9. https://doi.org/10.1016/j.ymeth.2014.11.020
Pletscher-Frankild, Sune, et al. "DISEASES: text mining and data integration of disease-gene associations." Methods (San Diego, Calif.) vol. 74 (2015): 83-9. doi: https://doi.org/10.1016/j.ymeth.2014.11.020
Pletscher-Frankild S, Pallejà A, Tsafou K, Binder JX, Jensen LJ. DISEASES: text mining and data integration of disease-gene associations. Methods. 2015 Mar;74:83-9. doi: 10.1016/j.ymeth.2014.11.020. Epub 2014 Dec 05. PMID: 25484339.
Copy Download .nbib Format: NLM
Network medicine: a network-based approach to human disease.

Nature reviews. Genetics

Barabási AL, Gulbahce N, Loscalzo J.
PMID: 21164525
Nat Rev Genet. 2011 Jan;12(1):56-68. doi: 10.1038/nrg2918.

Given the functional interdependencies between the molecular components in a human cell, a disease is rarely a consequence of an abnormality in a single gene, but reflects the perturbations of the complex intracellular and intercellular network that links tissue...

Cite
Barabási AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet. 2011;12(1):56-68doi: 10.1038/nrg2918.
Barabási, A. L., Gulbahce, N., & Loscalzo, J. (2011). Network medicine: a network-based approach to human disease. Nature reviews. Genetics, 12(1), 56-68. https://doi.org/10.1038/nrg2918
Barabási, Albert-László, et al. "Network medicine: a network-based approach to human disease." Nature reviews. Genetics vol. 12,1 (2011): 56-68. doi: https://doi.org/10.1038/nrg2918
Barabási AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet. 2011 Jan;12(1):56-68. doi: 10.1038/nrg2918. PMID: 21164525; PMCID: PMC3140052.
Copy Download .nbib Format: NLM
METAL: fast and efficient meta-analysis of genomewide association scans.

Bioinformatics (Oxford, England)

Willer CJ, Li Y, Abecasis GR.
PMID: 20616382
Bioinformatics. 2010 Sep 01;26(17):2190-1. doi: 10.1093/bioinformatics/btq340. Epub 2010 Jul 08.

SUMMARY: METAL provides a computationally efficient tool for meta-analysis of genome-wide association scans, which is a commonly used approach for improving power complex traits gene mapping studies. METAL provides a rich scripting interface and implements efficient memory management to...

Cite
Willer CJ, Li Y, Abecasis GR. METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics. 2010;26(17):2190-1doi: 10.1093/bioinformatics/btq340.
Willer, C. J., Li, Y., & Abecasis, G. R. (2010). METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics (Oxford, England), 26(17), 2190-1. https://doi.org/10.1093/bioinformatics/btq340
Willer, Cristen J, et al. "METAL: fast and efficient meta-analysis of genomewide association scans." Bioinformatics (Oxford, England) vol. 26,17 (2010): 2190-1. doi: https://doi.org/10.1093/bioinformatics/btq340
Willer CJ, Li Y, Abecasis GR. METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics. 2010 Sep 01;26(17):2190-1. doi: 10.1093/bioinformatics/btq340. Epub 2010 Jul 08. PMID: 20616382; PMCID: PMC2922887.
Copy Download .nbib Format: NLM
Showing 13 to 24 of 461 entries