Publications
44 results found
McDermott-Roe C, Ye J, Ahmed R, et al., 2011, Endonuclease G is a novel determinant of cardiac hypertrophy and mitochondrial function, Nature, Vol: 478, Pages: 114-118
Walley AJ, Jacobson P, Falchi M, et al., 2011, Differential coexpression analysis of obesity-associated networks in human subcutaneous adipose tissue, International Journal of Obesity, Vol: 36, Pages: 137-147, ISSN: 0307-0565
Objective:To use a unique obesity-discordant sib-pair study design to combine differential expression analysis, expression quantitative trait loci (eQTLs) mapping and a coexpression regulatory network approach in subcutaneous human adipose tissue to identify genes relevant to the obese state.Study design:Genome-wide transcript expression in subcutaneous human adipose tissue was measured using Affymetrix U133 Plus 2.0 microarrays (Affymetrix, Santa Clara, CA, USA), and genome-wide genotyping data was obtained using an Applied Biosystems (Applied Biosystems; Life Technologies, Carlsbad, CA, USA) SNPlex linkage panel.Subjects:A total of 154 Swedish families ascertained through an obese proband (body mass index (BMI) >30 kg m−2) with a discordant sibling (BMI>10 kg m−2 less than proband).Results:Approximately one-third of the transcripts were differentially expressed between lean and obese siblings. The cellular adhesion molecules (CAMs) KEGG grouping contained the largest number of differentially expressed genes under cis-acting genetic control. By using a novel approach to contrast CAMs coexpression networks between lean and obese siblings, a subset of differentially regulated genes was identified, with the previously GWAS obesity-associated neuronal growth regulator 1 (NEGR1) as a central hub. Independent analysis using mouse data demonstrated that this finding of NEGR1 is conserved across species.Conclusion:Our data suggest that in addition to its reported role in the brain, NEGR1 is also expressed in subcutaneous adipose tissue and acts as a central ‘hub’ in an obesity-related transcript network.
Bottolo L, Chadeau-Hyam M, Hastie DI, et al., 2011, ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration, Bioinformatics, Vol: 27, Pages: 587-588, ISSN: 1367-4803
Summary:ESS++ is a C++ implementation of a fully Bayesian variable selection approach for single and multiple response linear regression. ESS++ works well both when the number of observations is larger than the number of predictors and in the ‘large p, small n’ case. In the current version, ESS++ can handle several hundred observations, thousands of predictors and a few responses simultaneously. The core engine of ESS++ for the selection of relevant predictors is based on Evolutionary Monte Carlo. Our implementation is open source, allowing community-based alterations and improvements.Availability: C++ source code and documentation including compilation instructions are available under GNU licence at http://bgx.org.uk/software/ESS.html.
Heinig M, Petretto E, Wallace C, et al., 2010, A <i>trans</i>-acting locus regulates an anti-viral expression network and type 1 diabetes risk, NATURE, Vol: 467, Pages: 460-464, ISSN: 0028-0836
- Author Web Link
- Cite
- Citations: 216
Petretto E, Bottolo L, Langley SR, et al., 2010, New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach, PLOS COMPUTATIONAL BIOLOGY, Vol: 6, ISSN: 1553-734X
- Author Web Link
- Open Access Link
- Cite
- Citations: 52
Bottolo L, Richardson S, 2010, Evolutionary Stochastic Search for Bayesian Model Exploration, BAYESIAN ANALYSIS, Vol: 5, Pages: 583-618, ISSN: 1931-6690
- Author Web Link
- Cite
- Citations: 91
Bellini F, Bottolo L, 2009, Misspecification and Domain Issues in Fitting Garch(1,1) Models: A Monte Carlo Investigation, COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, Vol: 38, Pages: 31-45, ISSN: 0361-0918
- Author Web Link
- Cite
- Citations: 6
Bickel P, Buehlmann P, Yao Q, et al., 2008, Sure independence screening for ultrahigh dimensional feature space Discussion, Publisher: WILEY
- Author Web Link
- Cite
- Citations: 10
Frazer KA, Ballinger DG, Cox DR, et al., 2007, A second generation human haplotype map of over 3.1 million SNPs, NATURE, Vol: 449, Pages: 851-U3, ISSN: 0028-0836
- Author Web Link
- Cite
- Citations: 4716
Sabeti PC, Varilly P, Fry B, et al., 2007, Genome-wide detection and characterization of positive selection in human populations, NATURE, Vol: 449, Pages: 913-U12, ISSN: 0028-0836
- Author Web Link
- Cite
- Citations: 1334
Bellini F, Bottolo L, 2007, Stationarity domains for δ-power Garch process with heavy tails, STATISTICS & PROBABILITY LETTERS, Vol: 77, Pages: 1418-1427, ISSN: 0167-7152
- Author Web Link
- Cite
- Citations: 3
Myers S, Spencer CCA, Auton A, et al., 2006, The distribution and causes of meiotic recombination in the human genome, Biochemical-Society Focused Meeting on Compartmentalization of Cyclic AMP Signalling, Publisher: PORTLAND PRESS LTD, Pages: 526-530, ISSN: 0300-5127
- Author Web Link
- Cite
- Citations: 62
Altshuler D, Brooks LD, Chakravarti A, et al., 2005, A haplotype map of the human genome, NATURE, Vol: 437, Pages: 1299-1320, ISSN: 0028-0836
- Author Web Link
- Cite
- Citations: 4322
Myers S, Bottolo L, Freeman C, et al., 2005, A fine-scale map of recombination rates and hotspots across the human genome, SCIENCE, Vol: 310, Pages: 321-324, ISSN: 0036-8075
- Author Web Link
- Cite
- Citations: 796
This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.