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Year Number of Results
1993 2
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1996 1
1997 1
1998 1
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2001 3
2002 6
2003 13
2004 21
2005 11
2006 15
2007 21
2008 19
2009 22
2010 19
2011 23
2012 27
2013 25
2014 40
2015 45
2016 26
2017 24
2018 27
2019 28
2020 22
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Chapter 11: Genome-wide association studies.
Bush WS, Moore JH. Bush WS, et al. Among authors: moore jh. PLoS Comput Biol. 2012;8(12):e1002822. doi: 10.1371/journal.pcbi.1002822. Epub 2012 Dec 27. PLoS Comput Biol. 2012. PMID: 23300413 Free PMC article. Review.
Genome-wide association studies (GWAS) have evolved over the last ten years into a powerful tool for investigating the genetic architecture of human disease. In this work, we review the key concepts underlying GWAS, including the architecture of common diseases, the struct …
Genome-wide association studies (GWAS) have evolved over the last ten years into a powerful tool for investigating the genetic archit …
Druggability of Coronary Artery Disease Risk Loci.
Tragante V, Hemerich D, Alshabeeb M, Brænne I, Lempiäinen H, Patel RS, den Ruijter HM, Barnes MR, Moore JH, Schunkert H, Erdmann J, Asselbergs FW. Tragante V, et al. Among authors: moore jh. Circ Genom Precis Med. 2018 Aug;11(8):e001977. doi: 10.1161/CIRCGEN.117.001977. Circ Genom Precis Med. 2018. PMID: 30354342 Free PMC article.
METHODS: We first used publicly available genome-wide association studies results on all phenotypes to predict relevant side effects, identified drug-gene interactions, and prioritized candidates for repurposing among existing drugs. Second, we prioritized gene prod …
METHODS: We first used publicly available genome-wide association studies results on all phenotypes to predict relevant side effects, identi …
Bioinformatics challenges in genome-wide association studies (GWAS).
De R, Bush WS, Moore JH. De R, et al. Among authors: moore jh. Methods Mol Biol. 2014;1168:63-81. doi: 10.1007/978-1-4939-0847-9_5. Methods Mol Biol. 2014. PMID: 24870131 Review.
Genome-wide association studies (GWAS) are a powerful tool for investigators to examine the human genome to detect genetic risk factors, reveal the genetic architecture of diseases and open up new opportunities for treatment and prevention. However, despite its succ …
Genome-wide association studies (GWAS) are a powerful tool for investigators to examine the human genome to detect genetic risk facto …
SNCA and mTOR Pathway Single Nucleotide Polymorphisms Interact to Modulate the Age at Onset of Parkinson's Disease.
Fernández-Santiago R, Martín-Flores N, Antonelli F, Cerquera C, Moreno V, Bandres-Ciga S, Manduchi E, Tolosa E, Singleton AB, Moore JH; International Parkinson's Disease Genomics Consortium, Martí MJ, Ezquerra M, Malagelada C. Fernández-Santiago R, et al. Among authors: moore jh. Mov Disord. 2019 Sep;34(9):1333-1344. doi: 10.1002/mds.27770. Epub 2019 Jun 24. Mov Disord. 2019. PMID: 31234232 Free PMC article.
BACKGROUND: Single nucleotide polymorphisms (SNPs) in the α-synuclein (SNCA) gene are associated with differential risk and age at onset (AAO) of both idiopathic and Leucine-rich repeat kinase 2 (LRRK2)-associated Parkinson's disease (PD). ...METHODS: Based on funct …
BACKGROUND: Single nucleotide polymorphisms (SNPs) in the α-synuclein (SNCA) gene are associated with differential risk and age at on …
Analysis of Gene-Gene Interactions.
Cole BS, Hall MA, Urbanowicz RJ, Gilbert-Diamond D, Moore JH. Cole BS, et al. Among authors: moore jh. Curr Protoc Hum Genet. 2017 Oct 18;95:1.14.1-1.14.10. doi: 10.1002/cphg.45. Curr Protoc Hum Genet. 2017. PMID: 29044470 Review.
The goal of this unit is to introduce epistasis, or gene-gene interactions, as a significant contributor to the genetic architecture of complex traits, including disease susceptibility. This unit begins with an historical overview of the concept of epistasis …
The goal of this unit is to introduce epistasis, or gene-gene interactions, as a significant contributor to the genetic
Comparing drug safety of hepatitis C therapies using post-market data.
Huang J, Zhang X, Tong J, Du J, Duan R, Yang L, Moore JH, Tao C, Chen Y. Huang J, et al. Among authors: moore jh. BMC Med Inform Decis Mak. 2019 Aug 8;19(Suppl 4):147. doi: 10.1186/s12911-019-0860-6. BMC Med Inform Decis Mak. 2019. PMID: 31391106 Free PMC article.
BACKGROUND: Hepatitis C affects about 3 % of the world's population. In the United States, about 3.5 million have chronic hepatitis C, and it is the leading cause of liver cancer and the most common indication for liver transplantation. In the last decades, new advances in …
BACKGROUND: Hepatitis C affects about 3 % of the world's population. In the United States, about 3.5 million have chronic hepatitis C …
Association of Cesarean Delivery and Formula Supplementation With the Intestinal Microbiome of 6-Week-Old Infants.
Madan JC, Hoen AG, Lundgren SN, Farzan SF, Cottingham KL, Morrison HG, Sogin ML, Li H, Moore JH, Karagas MR. Madan JC, et al. Among authors: moore jh. JAMA Pediatr. 2016 Mar;170(3):212-9. doi: 10.1001/jamapediatrics.2015.3732. JAMA Pediatr. 2016. PMID: 26752321 Free PMC article. Clinical Trial.
MAIN OUTCOMES AND MEASURES: Stool microbiome composition was characterized using next-generation sequencing of the 16S rRNA gene. ...
MAIN OUTCOMES AND MEASURES: Stool microbiome composition was characterized using next-generation sequencing of the 16S rRNA gene. ...
Relief-based feature selection: Introduction and review.
Urbanowicz RJ, Meeker M, La Cava W, Olson RS, Moore JH. Urbanowicz RJ, et al. Among authors: moore jh. J Biomed Inform. 2018 Sep;85:189-203. doi: 10.1016/j.jbi.2018.07.014. Epub 2018 Jul 18. J Biomed Inform. 2018. PMID: 30031057 Free PMC article. Review.
This paper focuses on Relief-based algorithms (RBAs), a unique family of filter-style feature selection algorithms that have gained appeal by striking an effective balance between these objectives while flexibly adapting to various data characteristics, e.g. classif …
This paper focuses on Relief-based algorithms (RBAs), a unique family of filter-style feature selection algorithms that have g …
DNAp: A Pipeline for DNA-seq Data Analysis.
Causey JL, Ashby C, Walker K, Wang ZP, Yang M, Guan Y, Moore JH, Huang X. Causey JL, et al. Among authors: moore jh. Sci Rep. 2018 May 1;8(1):6793. doi: 10.1038/s41598-018-25022-6. Sci Rep. 2018. PMID: 29717215 Free PMC article.
Next-generation sequencing is empowering genetic disease research. However, it also brings significant challenges for efficient and effective sequencing data analysis. ...
Next-generation sequencing is empowering genetic disease research. However, it also brings significant challenges for efficient and e …
GPU Accelerated Browser for Neuroimaging Genomics.
Zigon B, Li H, Yao X, Fang S, Hasan MA, Yan J, Moore JH, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative. Zigon B, et al. Among authors: moore jh. Neuroinformatics. 2018 Oct;16(3-4):393-402. doi: 10.1007/s12021-018-9376-y. Neuroinformatics. 2018. PMID: 29691798 Free PMC article.
Neuroimaging genomics is an emerging field that provides exciting opportunities to understand the genetic basis of brain structure and function. ...A GPU accelerated browsing tool for neuroimaging genomics is created that implements the ANOVA algorithm for single nu …
Neuroimaging genomics is an emerging field that provides exciting opportunities to understand the genetic basis of brain structure an …
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