A Functional Genomics Pipeline to Identify High-Value CpG Dinucleotides Related to Allergy or Asthma in the Human Methylome
暂无分享,去创建一个
K. Barnes | R. Mathias | J. Gern | T. Hartert | L. Shorey-Kendrick | E. Spindel | C. McKennan | D. Jackson | K. Hansen | E. Thompson | M. Kattan | C. McEvoy | C. Ober | A. Morin | G. T. O'Connor | T. Gebretsadik | B. A. Helling | L. Bacharier | M. C. Altman | P. Faber | K. Rivera-Spoljaric | R. Wood | K. Rivera‐Spoljaric | M. Altman
[1] C. Akdis. The epithelial barrier hypothesis proposes a comprehensive understanding of the origins of allergic and other chronic non-communicable diseases. , 2021, The Journal of allergy and clinical immunology.
[2] Matthew C. Altman,et al. Multi-omics colocalization with genome-wide association studies reveals a context-specific genetic mechanism at a childhood onset asthma risk locus , 2021, Genome medicine.
[3] C. McEvoy,et al. Impact of vitamin C supplementation on placental DNA methylation changes related to maternal smoking: association with gene expression and respiratory outcomes , 2021, Clinical epigenetics.
[4] Lin S. Chen,et al. Genetic regulation of DNA methylation across tissues reveals thousands of molecular links to complex traits , 2021 .
[5] C. Ward‐Caviness,et al. Controlled human exposures to diesel exhaust: a human epigenome-wide experiment of target bronchial epithelial cells , 2021, Environmental epigenetics.
[6] Scott R. Presnell,et al. Endotype of Allergic Asthma with Airway Obstruction in Urban Children. , 2021, The Journal of allergy and clinical immunology.
[7] M. Desai,et al. Air pollution exposure is linked with methylation of immunoregulatory genes, altered immune cell profiles, and increased blood pressure in children , 2021, Scientific Reports.
[8] D. Nicolae,et al. Altered transcriptional and chromatin responses to rhinovirus in bronchial epithelial cells from adults with asthma , 2020, Communications Biology.
[9] Chris McKennan,et al. Factor analysis in high dimensional biological data with dependent observations , 2020, 2009.11134.
[10] R. Krishnan,et al. Cytokine-induced molecular responses in airway smooth muscle cells inform genome-wide association studies of asthma , 2020, Genome Medicine.
[11] Michael J. Purcaro,et al. Expanded encyclopaedias of DNA elements in the human and mouse genomes , 2020, Nature.
[12] C. Ober,et al. CDHR3 Asthma-Risk Genotype Affects Susceptibility of Airway Epithelium to Rhinovirus C Infections. , 2019, American journal of respiratory cell and molecular biology.
[13] Brian D. Bennett,et al. Comparison of smoking-related DNA methylation between newborns from prenatal exposure and adults from personal smoking , 2019, Epigenomics.
[14] Anshul Kundaje,et al. The ENCODE Blacklist: Identification of Problematic Regions of the Genome , 2019, Scientific Reports.
[15] D. Nicolae,et al. Shared and distinct genetic risk factors for childhood-onset and adult-onset asthma: genome-wide and transcriptome-wide studies. , 2019, The Lancet. Respiratory medicine.
[16] I. Ruczinski,et al. The MALT1 locus and peanut avoidance in the risk for peanut allergy. , 2019, The Journal of allergy and clinical immunology.
[17] Tao Zhang,et al. EWAS Atlas: a curated knowledgebase of epigenome-wide association studies , 2018, Nucleic Acids Res..
[19] P. Donnelly,et al. The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.
[20] S. London,et al. DNA methylation signature of smoking in lung cancer is enriched for exposure signatures in newborn and adult blood , 2018, Scientific Reports.
[21] Sara A. Grimm,et al. DNA methylation and transcriptome aberrations mediated by ERα in mouse seminal vesicles following developmental DES exposure , 2018, Proceedings of the National Academy of Sciences.
[22] D. Nicolae,et al. Accounting for unobserved covariates with varying degrees of estimability in high dimensional experimental data , 2018 .
[23] P. Eline Slagboom,et al. DNA methylation as a mediator of the association between prenatal adversity and risk factors for metabolic disease in adulthood , 2018, Science Advances.
[24] Alexander E. Kel,et al. cutPrimers: A New Tool for Accurate Cutting of Primers from Reads of Targeted Next Generation Sequencing , 2017, J. Comput. Biol..
[25] Francesco Salvatore,et al. Epigenetic features of FoxP3 in children with cow’s milk allergy , 2016, Clinical Epigenetics.
[26] J. Gern,et al. The contributions of allergic sensitization and respiratory pathogens to asthma inception , 2016, Journal of Allergy and Clinical Immunology.
[27] G. Smyth,et al. ROBUST HYPERPARAMETER ESTIMATION PROTECTS AGAINST HYPERVARIABLE GENES AND IMPROVES POWER TO DETECT DIFFERENTIAL EXPRESSION. , 2016, The annals of applied statistics.
[28] D. Nicolae,et al. Genome-Wide Methylation Study Identifies an IL-13-induced Epigenetic Signature in Asthmatic Airways. , 2016, American journal of respiratory and critical care medicine.
[29] Warren A. Cheung,et al. Population whole-genome bisulfite sequencing across two tissues highlights the environment as the principal source of human methylome variation , 2015, Genome Biology.
[30] Gabor T. Marth,et al. A global reference for human genetic variation , 2015, Nature.
[31] Timothy A Thornton,et al. Robust Inference of Population Structure for Ancestry Prediction and Correction of Stratification in the Presence of Relatedness , 2015, Genetic epidemiology.
[32] Donald H. Arnold,et al. Objectives, design and enrollment results from the Infant Susceptibility to Pulmonary Infections and Asthma Following RSV Exposure Study (INSPIRE) , 2015, BMC Pulmonary Medicine.
[33] Differences in DNA methylation profile of Th1 and Th2 cytokine genes are associated with tolerance acquisition in children with IgE-mediated cow’s milk allergy , 2015, Clinical Epigenetics.
[34] Miao Yu,et al. Bacterial infection remodels the DNA methylation landscape of human dendritic cells , 2015, bioRxiv.
[35] Ting Wang,et al. Intermediate DNA methylation is a conserved signature of genome regulation , 2015, Nature Communications.
[36] Michael Q. Zhang,et al. Integrative analysis of 111 reference human epigenomes , 2015, Nature.
[37] Matthew E. Ritchie,et al. limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.
[38] Rafael A. Irizarry,et al. Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays , 2014, Bioinform..
[39] L. Hummelshoj,et al. Allergic sensitization: host-immune factors , 2014, Clinical and Translational Allergy.
[40] B. Langmead,et al. BSmooth: from whole genome bisulfite sequencing reads to differentially methylated regions , 2012, Genome Biology.
[41] Weiliang Qiu,et al. Cigarette smoking behaviors and time since quitting are associated with differential DNA methylation across the human genome. , 2012, Human molecular genetics.
[42] A. Oshlack,et al. SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips , 2012, Genome Biology.
[43] S. Holgate,et al. The sentinel role of the airway epithelium in asthma pathogenesis , 2011, Immunological reviews.
[44] Felix Krueger,et al. Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications , 2011, Bioinform..
[45] David M. Simcha,et al. Tackling the widespread and critical impact of batch effects in high-throughput data , 2010, Nature Reviews Genetics.
[46] Rosalind J Wright,et al. The Urban Environment and Childhood Asthma (URECA) birth cohort study: design, methods, and study population , 2009, BMC pulmonary medicine.
[47] Cheng Li,et al. Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.
[48] R. Lemanske. The Childhood Origins of Asthma (COAST) study , 2002, Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology.
[49] B. Niggemann,et al. The pattern of atopic sensitization is associated with the development of asthma in childhood. , 2001, The Journal of allergy and clinical immunology.