Genome-wide methylation data mirror ancestry information
暂无分享,去创建一个
C. Gieger | M. Waldenberger | E. Halperin | K. Strauch | E. Burchard | Sam S. Oh | J. Galanter | T. Meitinger | H. Grallert | N. Holland | N. Zaitlen | Elior Rahmani | Regev Schweiger | C. Eng | D. Hu | Liat Shenhav | P. Yousefi | K. Huen | B. Eskenazi | S. Huntsman | L. Shenhav
[1] Donald Macleod,et al. A fraction of the mouse genome that is derived from islands of nonmethylated, CpG-rich DNA , 1985, Cell.
[2] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[3] P. Donnelly,et al. Inference of population structure using multilocus genotype data. , 2000, Genetics.
[4] N. Holland,et al. CHAMACOS, A Longitudinal Birth Cohort Study: Lessons from the Fields , 2003 .
[5] C. Gieger,et al. KORA-gen - Resource for Population Genetics, Controls and a Broad Spectrum of Disease Phenotypes , 2005, Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)).
[6] Hui-Ju Tsai,et al. Comparison of three methods to estimate genetic ancestry and control for stratification in genetic association studies among admixed populations , 2005, Human Genetics.
[7] D. Brutlag,et al. A genome-wide analysis of CpG dinucleotides in the human genome distinguishes two distinct classes of promoters , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[8] D. Reich,et al. Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.
[9] K. Gunderson,et al. Illumina universal bead arrays. , 2006, Methods in enzymology.
[10] Cheng Li,et al. Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.
[11] B. Tycko,et al. Genomic surveys by methylation-sensitive SNP analysis identify sequence-dependent allele-specific DNA methylation , 2008, Nature Genetics.
[12] E. Ziv,et al. Genetic ancestry and risk of breast cancer among U.S. Latinas. , 2008, Cancer research.
[13] David Reich,et al. Discerning the Ancestry of European Americans in Genetic Association Studies , 2007, PLoS genetics.
[14] Amit R. Indap,et al. Genes mirror geography within Europe , 2008, Nature.
[15] R. Mei,et al. Genome-wide screen for asthma in Puerto Ricans: evidence for association with 5q23 region , 2008, Human Genetics.
[16] David H. Alexander,et al. Fast model-based estimation of ancestry in unrelated individuals. , 2009, Genome research.
[17] Madeleine P. Ball,et al. Corrigendum: Targeted and genome-scale strategies reveal gene-body methylation signatures in human cells , 2009, Nature Biotechnology.
[18] René S. Kahn,et al. The Relationship of DNA Methylation with Age, Gender and Genotype in Twins and Healthy Controls , 2009, PloS one.
[19] Christian Gieger,et al. Meta-Analysis of 28,141 Individuals Identifies Common Variants within Five New Loci That Influence Uric Acid Concentrations , 2009, PLoS genetics.
[20] A. Feinberg,et al. Genome-wide methylation analysis of human colon cancer reveals similar hypo- and hypermethylation at conserved tissue-specific CpG island shores , 2008, Nature Genetics.
[21] R. Plomin,et al. Allelic skewing of DNA methylation is widespread across the genome. , 2010, American journal of human genetics.
[22] Chia-Lin Wei,et al. Dynamic changes in the human methylome during differentiation. , 2010, Genome research.
[23] Lijun Cheng,et al. Genetic control of individual differences in gene-specific methylation in human brain. , 2010, American journal of human genetics.
[24] E. Ziv,et al. European Ancestry Is Positively Associated with Breast Cancer Risk in Mexican Women , 2010, Cancer Epidemiology, Biomarkers & Prevention.
[25] Luigi Ferrucci,et al. Abundant Quantitative Trait Loci Exist for DNA Methylation and Gene Expression in Human Brain , 2010, PLoS genetics.
[26] Hunter B. Fraser,et al. Population-specificity of human DNA methylation , 2012, Genome Biology.
[27] Gary K. Chen,et al. Enhanced Statistical Tests for GWAS in Admixed Populations: Assessment using African Americans from CARe and a Breast Cancer Consortium , 2011, PLoS genetics.
[28] Joseph K. Pickrell,et al. DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines , 2011, Genome Biology.
[29] Lipika R. Pal,et al. Genetic basis of common human disease: insight into the role of nonsynonymous SNPs from genome-wide association studies , 2011, Genome Biology.
[30] Christopher R. Gignoux,et al. Cosmopolitan and ethnic-specific replication of genetic risk factors for asthma in 2 Latino populations. , 2011, The Journal of allergy and clinical immunology.
[31] K. Gunderson,et al. High density DNA methylation array with single CpG site resolution. , 2011, Genomics.
[32] Pui-Yan Kwok,et al. Design and coverage of high throughput genotyping arrays optimized for individuals of East Asian, African American, and Latino race/ethnicity using imputation and a novel hybrid SNP selection algorithm. , 2011, Genomics.
[33] Eran Halperin,et al. A model-based approach for analysis of spatial structure in genetic data , 2012, Nature Genetics.
[34] Susan K. Murphy,et al. 450K Epigenome-Wide Scan Identifies Differential DNA Methylation in Newborns Related to Maternal Smoking during Pregnancy , 2012, Environmental health perspectives.
[35] J. Kere,et al. Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility , 2012, PloS one.
[36] Devin C. Koestler,et al. DNA methylation arrays as surrogate measures of cell mixture distribution , 2012, BMC Bioinformatics.
[37] Jun Ma,et al. The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences , 2012, BMC Bioinformatics.
[38] A. Oshlack,et al. SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips , 2012, Genome Biology.
[39] Wei Zhang,et al. Genome-Wide Variation of Cytosine Modifications Between European and African Populations and the Implications for Complex Traits , 2013, Genetics.
[40] Anna Decker,et al. Considerations for normalization of DNA methylation data by Illumina 450K BeadChip assay in population studies , 2013, Epigenetics.
[41] R. Weksberg,et al. Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray , 2013, Epigenetics.
[42] Martin J. Aryee,et al. Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in Rheumatoid Arthritis , 2013, Nature Biotechnology.
[43] Gian Marco Prazzoli,et al. Identification of pathways directly regulated by SHORT VEGETATIVE PHASE during vegetative and reproductive development in Arabidopsis , 2013, Genome Biology.
[44] Margaret R Karagas,et al. Blood-based profiles of DNA methylation predict the underlying distribution of cell types , 2013, Epigenetics.
[45] Lynn M Almli,et al. Methylation quantitative trait loci (meQTLs) are consistently detected across ancestry, developmental stage, and tissue type , 2014, BMC Genomics.
[46] R. Irizarry,et al. Accounting for cellular heterogeneity is critical in epigenome-wide association studies , 2014, Genome Biology.
[47] K. Beckman,et al. Associations of PON1 and Genetic Ancestry with Obesity in Early Childhood , 2013, PloS one.
[48] Francesco Marabita,et al. A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data , 2012, Bioinform..
[49] S. Horvath. DNA methylation age of human tissues and cell types , 2013, Genome Biology.
[50] Ruth Pidsley,et al. A data-driven approach to preprocessing Illumina 450K methylation array data , 2013, BMC Genomics.
[51] Degui Zhi,et al. SNPs located at CpG sites modulate genome-epigenome interaction , 2013, Epigenetics.
[52] Christian Gieger,et al. Tobacco Smoking Leads to Extensive Genome-Wide Changes in DNA Methylation , 2013, PloS one.
[53] John D. Blischak,et al. Methylation QTLs Are Associated with Coordinated Changes in Transcription Factor Binding, Histone Modifications, and Gene Expression Levels , 2014, bioRxiv.
[54] W. Reik,et al. Selective impairment of methylation maintenance is the major cause of DNA methylation reprogramming in the early embryo , 2015, Epigenetics & Chromatin.
[55] A. Baccarelli,et al. Epigenome‐wide DNA methylation changes with development of arsenic‐induced skin lesions in Bangladesh: A case–control follow‐up study , 2014, Environmental and molecular mutagenesis.
[56] C. Gieger,et al. DNA methylation and body-mass index: a genome-wide analysis , 2014, The Lancet.
[57] Carlos Bustamante,et al. Genome-wide association study and admixture mapping identify different asthma-associated loci in Latinos: the Genes-environments & Admixture in Latino Americans study. , 2014, The Journal of allergy and clinical immunology.
[58] N. Holland,et al. Organophosphate pesticide exposure, PON1, and neurodevelopment in school-age children from the CHAMACOS study. , 2014, Environmental research.
[59] Richard T. Barfield,et al. Accounting for Population Stratification in DNA Methylation Studies , 2014, Genetic epidemiology.
[60] H. Drummond,et al. Two-stage Genome-wide Methylation Profiling in Childhood-onset Crohn's Disease Implicates Epigenetic Alterations at the VMP1/MIR21 and HLA Loci , 2014, Inflammatory bowel diseases.
[61] Ajay K. Royyuru,et al. Geographic population structure analysis of worldwide human populations infers their biogeographical origins , 2014, Nature Communications.
[62] Rafael A. Irizarry,et al. Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays , 2014, Bioinform..
[63] Alan Hubbard,et al. Estimation of blood cellular heterogeneity in newborns and children for epigenome‐wide association studies , 2015, Environmental and molecular mutagenesis.
[64] David V Conti,et al. Genetic ancestry influences asthma susceptibility and lung function among Latinos. , 2015, The Journal of allergy and clinical immunology.
[65] Gabor T. Marth,et al. A global reference for human genetic variation , 2015, Nature.
[66] D. Hernandez,et al. DNA Methylation of Lipid-Related Genes Affects Blood Lipid Levels , 2015, Circulation. Cardiovascular genetics.
[67] C. Gieger,et al. Characterization of whole-genome autosomal differences of DNA methylation between men and women , 2015, Epigenetics & Chromatin.
[68] Brenda Eskenazi,et al. Sex differences in DNA methylation assessed by 450 K BeadChip in newborns , 2015, BMC Genomics.
[69] Shan V Andrews,et al. DNA methylation of cord blood cell types: Applications for mixed cell birth studies , 2016, Epigenetics.
[70] Eran Halperin,et al. Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies , 2016, Nature Methods.
[71] Christopher R. Gignoux,et al. Methylation Analysis Reveals Fundamental Differences Between Ethnicity and Genetic Ancestry , 2016 .
[72] Differential methylation between ethnic sub-groups reflects the effect of genetic ancestry and environmental exposures , 2016 .