FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1479987457> ?p ?o ?g. }

• W1479987457 endingPage "364" @default.
• W1479987457 startingPage "364" @default.
• W1479987457 abstract "Many complex diseases are thought to be caused by multiple genetic variants. Recent advances in genotyping technology allowed investigators of a complex disease to obtain data for a massive number of candidate genetic variants. Typically each candidate variant is tested individually for an association with the disease. We approach the problem as one of model selection for high dimensional data. We propose a method whereby penalised maximum likelihood estimation provides a reasonably sized set of variants for inclusion in our model. We then perform stepwise regression on this set of variants to arrive at our model. Penalised maximum likelihood estimation is performed with both the lasso and a more recently developed method known as the hyperlasso, with smoothing parameters chosen by cross-validation. The hyperlasso has a penalty function that favours sparser solutions but with less shrinkage of those variables that are included in the model, when compared to the lasso; however, this comes at extra computational cost. We apply the above method to a large genomic data set from a previously published mice obesity study and use resample model averaging to assess model performance. References Kristin A. Ayers and Heather J. Cordell. SNP selection in genome-wide and candidate gene studies via penalized logistic regression. Genetic Epidemiology, 38:879--891, 2010. doi:10.1002/gepi.20543 David J. Balding. A tutorial on statistical methods for population association studies. Nature Reviews Genetics, 7:781--791, 2006. doi:10.1038/nrg1916 Christopher S. Carlson, Michael A. Eberle, Mark J. Rieder, Qian Yi, Leonid Kruglyak, and Deborah A. Nickerson. Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium. Am. J. Hum. Genet., 74:106--120, 2004. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1181897/?tool=pubmed Seoae Cho, Kyunga Kim, Young Jin Kim, Jong-Keuk Lee, Yoon Shin Cho, Jong-Young Lee, Bok-Ghee Han, Heebal Kim, Jurg Ott, and Taesung Park. Joint identification of multiple genetic variants via elastic-net variable selection in a genome-wide association analysis. Annals of Human Genetics, 74:416--428, 2010. doi:10.1111/j.1469-1809.2010.00597.x {European Bioinformatics Institute}. http://www.ebi.ac.uk/projects/BARGEN/. Jianqing Fan and Jinchi Lv. A selective overview of variable selection in high dimensional feature space. Statistica Sinica, 20:101--148, 2010. http://www3.stat.sinica.edu.tw/statistica/j20n1/J20N12/J20N12.html Anatole Ghazalpour, Sudheer Doss, Bin Zhang, Susanna Wang, Christopher Plaisier, Ruth Castellanos, Alec Brozell, Eric E. Schadt, Thomas A. Drake, Aldons J. Lusis, and Steve Horvath. Integrating genetic and network analysis to characterize genes related to mouse weight. PLoS Genetics, 2:e130, 2006. I. Gradshteyn and I. Ryzik. Tables of Integrals, Series and Products: Corrected and Enlarged Edition. Academic Press, New York, 1980. J. E. Griffin and P. J. Brown. Bayesian adaptive lassos with non-convex penalization. Technical report, University of Kent, 2007. http://www2.warwick.ac.uk/fac/sci/statistics/crism/research/working_papers/2007/paper07-2/07-2wv2.pdf Clive J. Hoggart, John C. Whittaker, Maria {De Iorio}, and David J. Balding. Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies. PLoS Genetics, 4:e1000130, 2008. doi:10.1371/journal.pgen.1000130 B. Maher. Personal genomes: The case of the missing heritability. Nature, 456:18--21, 2008. doi:10.1038/456018a T. A. Manolio et al. Finding the missing heritability of complex diseases. Nature, 461:747--753, 2009. doi:10.1038/nature08494 Mark I. McCarthy, Goncalo R. Abecasis, Lon R. Cardon, David B. Goldstein, Julian Little, John P. A. Ioannidis, and Joel N. Hirschhorn. Genome-wide association studies for complex traits: consensus, uncertainty and challenges. Nature Reviews Genetics, 9:356--369, 2008. doi:10.1038/nrg2344 Nicolai Meinshausen and Peter Buehlmann. Stability selection. Journal of the Royal Statistical Society, Series B, 72:417--473, 2010. doi:10.1111/j.1467-9868.2010.00740.x R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2011. ISBN 3-900051-07-0. http://www.r-project.org/ R. Tibshirani. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society, Series B, 58:267--288, 1996. http://www.jstor.org/stable/2346178 William Valdar, Christopher C. Holmes, Richard Mott, and Jonathan Flint. Mapping in structured populations by resample model averaging. Genetics, 182:1263--1277, 2009. doi:10.1534/genetics.109.100727 Susanna Wang, Nadir Yehya, Eric E. Schadt, Hui Wang, Thomas A. Drake, and Aldons J. Lusis. Genetic and genomic analysis of a fat mass trait with complex inheritance reveals marked sex specificity. PLoS Genetics, 2:e15, 2006. doi:10.1371/journal.pgen.0020015 E. T. Whittaker. On the functions associated with the parabolic cylinder in harmonic analysis. Proc. London Math. Soc., 35:417--427, 1902. doi:10.1112/plms/s1-35.1.417 Jian Yang, Beben Benyamin, Brian P. McEvoy, Scott Gordon, Anjali K. Henders, Dale R. Nyholt, et al. Common {SNPs} explain a large proportion of the heritability for human height. Nature Genetics, 42:565--569, 2010. doi:10.1038/ng.608 Gang Zheng, Jonathan Marchini, and Nancy L. Geller. Introduction to the special issue: Genome-wide association studies. Statistical Science, 24:387, 2009. doi:10.1214/09-STS310" @default.
• W1479987457 created "2016-06-24" @default.
• W1479987457 creator A5020062306 @default.
• W1479987457 creator A5020388018 @default.
• W1479987457 creator A5079169818 @default.
• W1479987457 date "2011-07-20" @default.
• W1479987457 modified "2023-09-26" @default.
• W1479987457 title "Model selection procedures for high dimensional genomic data" @default.
• W1479987457 cites W1874196095 @default.
• W1479987457 cites W1973651601 @default.
• W1479987457 cites W1980991473 @default.
• W1479987457 cites W2013196115 @default.
• W1479987457 cites W2015408724 @default.
• W1479987457 cites W2041467022 @default.
• W1479987457 cites W2070082005 @default.
• W1479987457 cites W2093293802 @default.
• W1479987457 cites W2095741373 @default.
• W1479987457 cites W2135046866 @default.
• W1479987457 cites W2160068277 @default.
• W1479987457 cites W2165079221 @default.
• W1479987457 cites W2169103656 @default.
• W1479987457 cites W2169294950 @default.
• W1479987457 cites W3103356633 @default.
• W1479987457 cites W85174465 @default.
• W1479987457 doi "https://doi.org/10.21914/anziamj.v52i0.3970" @default.
• W1479987457 hasPublicationYear "2011" @default.
• W1479987457 type Work @default.
• W1479987457 sameAs 1479987457 @default.
• W1479987457 citedByCount "0" @default.
• W1479987457 crossrefType "journal-article" @default.
• W1479987457 hasAuthorship W1479987457A5020062306 @default.
• W1479987457 hasAuthorship W1479987457A5020388018 @default.
• W1479987457 hasAuthorship W1479987457A5079169818 @default.
• W1479987457 hasBestOaLocation W14799874571 @default.
• W1479987457 hasConcept C104317684 @default.
• W1479987457 hasConcept C105795698 @default.
• W1479987457 hasConcept C106208931 @default.
• W1479987457 hasConcept C135763542 @default.
• W1479987457 hasConcept C136764020 @default.
• W1479987457 hasConcept C144621757 @default.
• W1479987457 hasConcept C148483581 @default.
• W1479987457 hasConcept C153209595 @default.
• W1479987457 hasConcept C154945302 @default.
• W1479987457 hasConcept C186413461 @default.
• W1479987457 hasConcept C2908647359 @default.
• W1479987457 hasConcept C2992519594 @default.
• W1479987457 hasConcept C33923547 @default.
• W1479987457 hasConcept C37616216 @default.
• W1479987457 hasConcept C41008148 @default.
• W1479987457 hasConcept C54355233 @default.
• W1479987457 hasConcept C58489278 @default.
• W1479987457 hasConcept C70721500 @default.
• W1479987457 hasConcept C71924100 @default.
• W1479987457 hasConcept C81917197 @default.
• W1479987457 hasConcept C86803240 @default.
• W1479987457 hasConcept C99454951 @default.
• W1479987457 hasConceptScore W1479987457C104317684 @default.
• W1479987457 hasConceptScore W1479987457C105795698 @default.
• W1479987457 hasConceptScore W1479987457C106208931 @default.
• W1479987457 hasConceptScore W1479987457C135763542 @default.
• W1479987457 hasConceptScore W1479987457C136764020 @default.
• W1479987457 hasConceptScore W1479987457C144621757 @default.
• W1479987457 hasConceptScore W1479987457C148483581 @default.
• W1479987457 hasConceptScore W1479987457C153209595 @default.
• W1479987457 hasConceptScore W1479987457C154945302 @default.
• W1479987457 hasConceptScore W1479987457C186413461 @default.
• W1479987457 hasConceptScore W1479987457C2908647359 @default.
• W1479987457 hasConceptScore W1479987457C2992519594 @default.
• W1479987457 hasConceptScore W1479987457C33923547 @default.
• W1479987457 hasConceptScore W1479987457C37616216 @default.
• W1479987457 hasConceptScore W1479987457C41008148 @default.
• W1479987457 hasConceptScore W1479987457C54355233 @default.
• W1479987457 hasConceptScore W1479987457C58489278 @default.
• W1479987457 hasConceptScore W1479987457C70721500 @default.
• W1479987457 hasConceptScore W1479987457C71924100 @default.
• W1479987457 hasConceptScore W1479987457C81917197 @default.
• W1479987457 hasConceptScore W1479987457C86803240 @default.
• W1479987457 hasConceptScore W1479987457C99454951 @default.
• W1479987457 hasLocation W14799874571 @default.
• W1479987457 hasOpenAccess W1479987457 @default.
• W1479987457 hasPrimaryLocation W14799874571 @default.
• W1479987457 hasRelatedWork W1973845055 @default.
• W1479987457 hasRelatedWork W2005288428 @default.
• W1479987457 hasRelatedWork W2028197440 @default.
• W1479987457 hasRelatedWork W2093688607 @default.
• W1479987457 hasRelatedWork W2145126181 @default.
• W1479987457 hasRelatedWork W2172459898 @default.
• W1479987457 hasRelatedWork W2802007658 @default.
• W1479987457 hasRelatedWork W2992783422 @default.
• W1479987457 hasRelatedWork W3099861509 @default.
• W1479987457 hasRelatedWork W4221087886 @default.
• W1479987457 hasVolume "52" @default.
• W1479987457 isParatext "false" @default.
• W1479987457 isRetracted "false" @default.
• W1479987457 magId "1479987457" @default.
• W1479987457 workType "article" @default.