Genome-wide DNA methylation and gene expression patterns reflect genetic ancestry and environmental differences across the Indonesian archipelago
暂无分享,去创建一个
Heini M. Natri | M. Cox | Irene Gallego Romero | Georgi Hudjashov | J. Lansing | G. Jacobs | Pradiptajati Kusuma | H. Sudoyo | N. Banovich | Irene Gallego Romero | Katalina Bobowik | C. C. Darusallam | G. Hudjashov | H. Natri
[1] M. O'Dwyer,et al. Sugar Free: Novel Immunotherapeutic Approaches Targeting Siglecs and Sialic Acids to Enhance Natural Killer Cell Cytotoxicity Against Cancer , 2019, Front. Immunol..
[2] J. Pritchard,et al. Variable prediction accuracy of polygenic scores within an ancestry group , 2019, bioRxiv.
[3] J. Stephen Lansing,et al. Multiple Deeply Divergent Denisovan Ancestries in Papuans , 2019, Cell.
[4] Alicia R. Martin,et al. Clinical use of current polygenic risk scores may exacerbate health disparities , 2019, Nature Genetics.
[5] L. Quintana-Murci. Human Immunology through the Lens of Evolutionary Genetics , 2019, Cell.
[6] Morris A. Swertz,et al. Deconvolution of bulk blood eQTL effects into immune cell subpopulations , 2019, BMC Bioinformatics.
[7] James C. Hu,et al. The Gene Ontology Resource: 20 years and still GOing strong , 2019 .
[8] The Gene Ontology Consortium,et al. The Gene Ontology Resource: 20 years and still GOing strong , 2018, Nucleic Acids Res..
[9] W. Hawley,et al. Zika Virus Seropositivity in 1–4-Year-Old Children, Indonesia, 2014 , 2018, Emerging infectious diseases.
[10] Olivier Gevaert,et al. MethylMix 2.0: an R package for identifying DNA methylation genes , 2018, Bioinform..
[11] Fabien C. Lamaze,et al. Gene-by-environment interactions in urban populations modulate risk phenotypes , 2018, Nature Communications.
[12] B. Heit,et al. Human‐Specific Mutations and Positively Selected Sites in MARCO Confer Functional Changes , 2018, Molecular biology and evolution.
[13] D. Wainwright,et al. IDO1 in cancer: a Gemini of immune checkpoints , 2018, Cellular & Molecular Immunology.
[14] Stephen E. Fick,et al. WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas , 2017 .
[15] Sean S. Downey,et al. Complex Patterns of Admixture across the Indonesian Archipelago , 2017, Molecular biology and evolution.
[16] Suryanto,et al. Healthcare System in Indonesia , 2017, Hospital Topics.
[17] Christopher R. Gignoux,et al. Human demographic history impacts genetic risk prediction across diverse populations , 2016, bioRxiv.
[18] J. Akey,et al. Archaic Hominin Admixture Facilitated Adaptation to Out-of-Africa Environments , 2016, Current Biology.
[19] T. Hawn,et al. MARCO variants are associated with phagocytosis, pulmonary tuberculosis susceptibility and Beijing lineage , 2016, Genes and Immunity.
[20] S. Fullerton,et al. Genomics is failing on diversity , 2016, Nature.
[21] M. Cox,et al. Reconstructing Demography and Social Behavior During the Neolithic Expansion from Genomic Diversity Across Island Southeast Asia , 2016, Genetics.
[22] Michael C. Westaway,et al. Genomic analyses inform on migration events during the peopling of Eurasia , 2016, Nature.
[23] J. Coers,et al. Interferon-Inducible GTPases in Host Resistance, Inflammation and Disease. , 2016, Journal of molecular biology.
[24] Yun S. Song,et al. The Simons Genome Diversity Project: 300 genomes from 142 diverse populations , 2016, Nature.
[25] M. Cox,et al. Small Traditional Human Communities Sustain Genomic Diversity over Microgeographic Scales despite Linguistic Isolation , 2016, Molecular biology and evolution.
[26] R. Horton. Offline: Indonesia—unravelling the mystery of a nation , 2016, The Lancet.
[27] Jovana Maksimovic,et al. missMethyl: an R package for analyzing data from Illumina's HumanMethylation450 platform , 2016, Bioinform..
[28] A. Andrés,et al. Introgression of Neandertal- and Denisovan-like Haplotypes Contributes to Adaptive Variation in Human Toll-like Receptors , 2016, American journal of human genetics.
[29] G. Perry,et al. The epigenomic landscape of African rainforest hunter-gatherers and farmers , 2015, Nature Communications.
[30] Gabor T. Marth,et al. A global reference for human genetic variation , 2015, Nature.
[31] John E. Ladbury,et al. Corrigendum: Grb2 monomer–dimer equilibrium determines normal versus oncogenic function , 2015, Nature Communications.
[32] Ash A. Alizadeh,et al. Robust enumeration of cell subsets from tissue expression profiles , 2015, Nature Methods.
[33] Olivier Gevaert,et al. MethylMix: an R package for identifying DNA methylation-driven genes , 2015, Bioinform..
[34] Matthew E. Ritchie,et al. limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.
[35] Carson C Chow,et al. Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.
[36] Peter L Molloy,et al. De novo identification of differentially methylated regions in the human genome , 2015, Epigenetics & Chromatin.
[37] Yutaka Suzuki,et al. Interactive transcriptome analysis of malaria patients and infecting Plasmodium falciparum , 2014, Genome 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] P. Romero,et al. Interactions between Siglec-7/9 receptors and ligands influence NK cell-dependent tumor immunosurveillance. , 2014, The Journal of clinical investigation.
[40] Björn Usadel,et al. Trimmomatic: a flexible trimmer for Illumina sequence data , 2014, Bioinform..
[41] Wei Shi,et al. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features , 2013, Bioinform..
[42] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[43] Charity W. Law,et al. voom: precision weights unlock linear model analysis tools for RNA-seq read counts , 2014, Genome Biology.
[44] Mauricio O. Carneiro,et al. From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline , 2013, Current protocols in bioinformatics.
[45] Aaron Golden,et al. Gene-set analysis is severely biased when applied to genome-wide methylation data , 2013, Bioinform..
[46] J. Weiser,et al. MARCO Is Required for TLR2- and Nod2-Mediated Responses to Streptococcus pneumoniae and Clearance of Pneumococcal Colonization in the Murine Nasopharynx , 2013, The Journal of Immunology.
[47] Thomas R. Gingeras,et al. STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..
[48] M. Newport,et al. Genetic variants of MARCO are associated with susceptibility to pulmonary tuberculosis in a Gambian population , 2013, BMC Medical Genetics.
[49] A. Oshlack,et al. SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips , 2012, Genome Biology.
[50] Devin C. Koestler,et al. DNA methylation arrays as surrogate measures of cell mixture distribution , 2012, BMC Bioinformatics.
[51] Guangchuang Yu,et al. clusterProfiler: an R package for comparing biological themes among gene clusters. , 2012, Omics : a journal of integrative biology.
[52] D. Reich,et al. Denisova admixture and the first modern human dispersals into Southeast Asia and Oceania. , 2011, American journal of human genetics.
[53] Loren Gragert,et al. The Shaping of Modern Human Immune Systems by Multiregional Admixture with Archaic Humans , 2011, Science.
[54] W. Liu,et al. Genetic Variants in MARCO Are Associated with the Susceptibility to Pulmonary Tuberculosis in Chinese Han Population , 2011, PloS one.
[55] M. DePristo,et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data , 2011, Nature Genetics.
[56] S. Hay,et al. Malaria distribution, prevalence, drug resistance and control in Indonesia. , 2011, Advances in parasitology.
[57] A. Telenti,et al. Critical role for CXCR6 in NK cell-mediated antigen-specific memory to haptens and viruses , 2010, Nature Immunology.
[58] M. DePristo,et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. , 2010, Genome research.
[59] M. Hammer,et al. Autosomal and X-linked single nucleotide polymorphisms reveal a steep Asian–Melanesian ancestry cline in eastern Indonesia and a sex bias in admixture rates , 2010, Proceedings of the Royal Society B: Biological Sciences.
[60] M. Robinson,et al. A scaling normalization method for differential expression analysis of RNA-seq data , 2010, Genome Biology.
[61] David H. Alexander,et al. Fast model-based estimation of ancestry in unrelated individuals. , 2009, Genome research.
[62] E. Birney,et al. Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt , 2009, Nature Protocols.
[63] Pan Du,et al. lumi: a pipeline for processing Illumina microarray , 2008, Bioinform..
[64] Han-Pil Choi,et al. Emerging themes in IFN-γ-induced macrophage immunity by the p47 and p65 GTPase Families , 2008 .
[65] Sean S. Downey,et al. Coevolution of languages and genes on the island of Sumba, eastern Indonesia , 2007, Proceedings of the National Academy of Sciences.
[66] Alan Y. Chiang,et al. Generalized Additive Models: An Introduction With R , 2007, Technometrics.
[67] Han-Pil Choi,et al. Emerging themes in IFN-gamma-induced macrophage immunity by the p47 and p65 GTPase families. , 2007, Immunobiology.
[68] S. Wood. Generalized Additive Models: An Introduction with R , 2006 .
[69] Abdallah S. Daar,et al. Pharmacogenetics and geographical ancestry: implications for drug development and global health , 2005, Nature Reviews Genetics.
[70] S. Wood. Thin plate regression splines , 2003 .
[71] Susumu Goto,et al. KEGG: Kyoto Encyclopedia of Genes and Genomes , 2000, Nucleic Acids Res..
[72] C. Dolea,et al. World Health Organization , 1949, International Organization.