Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Alex T Frase"'
Autor:
Carrie B Moore, John R Wallace, Daniel J Wolfe, Alex T Frase, Sarah A Pendergrass, Kenneth M Weiss, Marylyn D Ritchie
Publikováno v:
PLoS Genetics, Vol 9, Iss 12, p e1003959 (2013)
Analyses investigating low frequency variants have the potential for explaining additional genetic heritability of many complex human traits. However, the natural frequencies of rare variation between human populations strongly confound genetic analy
Externí odkaz:
https://doaj.org/article/c965e4077bf248008707d4ee84da3f65
Autor:
Steven Buyske, Lynne R. Wilkens, Sungshim L. Park, Petra Buzkova, Dana C. Crawford, Robert B. Wallace, Yi Lin, Charles Kooperberg, Gerardo Heiss, Christy L. Avery, Marylyn D. Ritchie, José Luis Ambite, Tara C. Matise, Scott M. Dudek, Janina M. Jeff, Chun-Nan Hsu, Larry W. Moreland, Alexander P. Reiner, Yuki Bradford, Sarah A. Pendergrass, Alex T. Frase, Kristine R. Monroe, Kari E. North, Christopher A. Haiman, Loic Le Marchand, Rebecca D. Jackson, Lucia A. Hindorff, Megan D. Fesinmeyer, Ewa Deelman
Publikováno v:
PLoS ONE, Vol 14, Iss 12, p e0226771 (2019)
PLoS ONE
PLoS ONE
We performed a hypothesis-generating phenome-wide association study (PheWAS) to identify and characterize cross-phenotype associations, where one SNP is associated with two or more phenotypes, between thousands of genetic variants assayed on the Meta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59db74e8a22311ce58123633670db8ff
https://doaj.org/article/d1011295931b4e4fb3037f3c735bbbb4
https://doaj.org/article/d1011295931b4e4fb3037f3c735bbbb4
Autor:
Jonathan L. Haines, Jessica N. Cooke Bailey, Brian L. Yaspan, Scott M. Dudek, Alex T. Frase, Mariusz Butkiewicz, Marylyn D. Ritchie, Sarah A. Pendergrass
Publikováno v:
Bioinformatics. 32:2361-2363
Motivation: We present an update to the pathway enrichment analysis tool ‘Pathway Analysis by Randomization Incorporating Structure (PARIS)’ that determines aggregated association signals generated from genome-wide association study results. Path
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d574d59102e767c866e7b859bb0452b7
https://doi.org/10.1093/bioinformatics/btw130
https://doi.org/10.1093/bioinformatics/btw130
Publikováno v:
Bioinformatics
Motivation BioBin is an automated bioinformatics tool for the multi-level biological binning of sequence variants. Herein, we present a significant update to BioBin which expands the software to facilitate a comprehensive rare variant analysis and in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54f04a0669108150dcb1a2c20c8af3e7
https://pubmed.ncbi.nlm.nih.gov/28968757
https://pubmed.ncbi.nlm.nih.gov/28968757
Publikováno v:
Alzheimer's & Dementia. 15:P1498-P1498
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8683e9b0934cc327504aa15d36ddea09
https://doi.org/10.1016/j.jalz.2019.08.032
https://doi.org/10.1016/j.jalz.2019.08.032
Publikováno v:
Bioinformatics. 30:698-705
Motivation: Advancements in high-throughput technology have allowed researchers to examine the genetic etiology of complex human traits in a robust fashion. Although genome-wide association studies have identified many novel variants associated with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3af4658b65d21b4119e6ea60a8f7deff
https://doi.org/10.1093/bioinformatics/btt572
https://doi.org/10.1093/bioinformatics/btt572
Publikováno v:
BioData Mining
Background BioBin is a bioinformatics software package developed to automate the process of binning rare variants into groups for statistical association analysis using a biological knowledge-driven framework. BioBin collapses variants into biologica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8382b10ac2888a6f7a297099f70e105
http://europepmc.org/articles/PMC5006419
http://europepmc.org/articles/PMC5006419
BackgroundThe adoption of new bioinformatics webservers provides biological researchers with new analytical opportunities but also raises workflow challenges. These challenges include sharing collections of genes with collaborators, translating gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f0e08e2e5ca0325705b2dac7cbc84ba
https://doi.org/10.1101/055913
https://doi.org/10.1101/055913
Autor:
Dokyoon, Kim, Anastasia, Lucas, Joseph, Glessner, Shefali S, Verma, Yuki, Bradford, Ruowang, Li, Alex T, Frase, Hakon, Hakonarson, Peggy, Peissig, Murray, Brilliant, Marylyn D, Ritchie
Publikováno v:
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 21
Recent studies on copy number variation (CNV) have suggested that an increasing burden of CNVs is associated with susceptibility or resistance to disease. A large number of genes or genomic loci contribute to complex diseases such as autism. Thus, to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7615e57c7ed4be4236f73e170f43808b
https://pubmed.ncbi.nlm.nih.gov/26776200
https://pubmed.ncbi.nlm.nih.gov/26776200
Autor:
Scott M. Dudek, John Penn, Joseph B. Leader, David J. Carey, Anurag Verma, Frederick E. Dewey, David H. Ledbetter, Daniel R. Lavage, Marylyn D. Ritchie, Cristopher V. Van Hout, Alexander E. Lopez, Sarah A. Pendergrass, John D. Overton, H. Lester Kirchner, Shefali S. Verma, John R. Wallace, Alex T. Frase
Publikováno v:
PSB
Electronic health records (EHR) provide a comprehensive resource for discovery, allowing unprecedented exploration of the impact of genetic architecture on health and disease. The data of EHRs also allow for exploration of the complex interactions be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2400b3b799c8d786c82e430b4c28873
https://doi.org/10.1142/9789814749411_0016
https://doi.org/10.1142/9789814749411_0016