Blood-based profiles of DNA methylation predict the underlying distribution of cell types: a validation analysis. - Wikidata - wikimedia - TriplyDB

Blood-based profiles of DNA methylation predict the underlying distribution of cell types: a validation analysis.

Blood-based profiles of DNA methylation predict the underlying distribution of cell types: a validation analysis.

http://www.wikidata.org/entity/Q37445282

about

Effects of age, sex, and persistent organic pollutants on DNA methylation in children The biophysics and cell biology of lipid droplets Review of processing and analysis methods for DNA methylation array data Leukocyte-adjusted epigenome-wide association studies of blood from solid tumor patients Molecular signatures of major depression.The meta-epigenomic structure of purified human stem cell populations is defined at cis-regulatory sequences Non-specific filtering of beta-distributed data.quantro: a data-driven approach to guide the choice of an appropriate normalization method Adjusting for Cell Type Composition in DNA Methylation Data Using a Regression-Based Approach.Imputation of missing covariate values in epigenome-wide analysis of DNA methylation data.Estimation of Cell-Type Composition Including T and B Cell Subtypes for Whole Blood Methylation Microarray Data.Cell type specific DNA methylation in cord blood: A 450K-reference data set and cell count-based validation of estimated cell type composition An epigenetic signature in peripheral blood associated with the haplotype on 17q21.31, a risk factor for neurodegenerative tauopathy.Genome-wide methylation data mirror ancestry information.Differential DNA methylation and lymphocyte proportions in a Costa Rican high longevity region.Quantitative reconstruction of leukocyte subsets using DNA methylation Effect of prenatal arsenic exposure on DNA methylation and leukocyte subpopulations in cord blood.Grasping nettles: cellular heterogeneity and other confounders in epigenome-wide association studies Genome-wide investigation of DNA methylation marks associated with FV Leiden mutation.Tobacco smoking is associated with methylation of genes related to coronary artery disease.Gene-specific differential DNA methylation and chronic arsenic exposure in an epigenome-wide association study of adults in Bangladesh.Reference-free cell mixture adjustments in analysis of DNA methylation data.Ancestry dependent DNA methylation and influence of maternal nutrition Intraindividual variation and short-term temporal trend in DNA methylation of human blood Genome-wide assays that identify and quantify modified cytosines in human disease studies Genome-wide blood DNA methylation alterations at regulatory elements and heterochromatic regions in monozygotic twins discordant for obesity and liver fat.Concordant and discordant DNA methylation signatures of aging in human blood and brain.Racial variation in breast tumor promoter methylation in the Carolina Breast Cancer Study Epigenetic Control of Stem Cell Potential during Homeostasis, Aging, and Disease A varying T cell subtype explains apparent tobacco smoking induced single CpG hypomethylation in whole blood.Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL).Whole-Genome Saliva and Blood DNA Methylation Profiling in Individuals with a Respiratory Allergy DNA methylation loci associated with atopy and high serum IgE: a genome-wide application of recursive Random Forest feature selection.DNA extracted from saliva for methylation studies of psychiatric traits: evidence tissue specificity and relatedness to brain.Correlations in global DNA methylation measures in peripheral blood mononuclear cells and granulocytes DNA Methylation-Derived Neutrophil-to-Lymphocyte Ratio: An Epigenetic Tool to Explore Cancer Inflammation and Outcomes.Immunomethylomic approach to explore the blood neutrophil lymphocyte ratio (NLR) in glioma survival.The effects of long-term daily folic acid and vitamin B12 supplementation on genome-wide DNA methylation in elderly subjects A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies.Elevated OPRD1 promoter methylation in Alzheimer's disease patients.

P2860

Q23915868-7C868A72-2AB4-48CB-AF93-502B9E0641B7 Q26830071-E9FDA7B8-950B-46D3-B5F8-E926E63323B3 Q27027775-51959255-74EF-4F95-ADD2-4A39ED01D825 Q28388342-9D24AB2C-90CE-4F27-8192-BD5BF74B38CC Q30412070-6D2007C1-82EA-4306-9BA7-7B4699960E24 Q30616764-ED3EC80A-E025-4E54-A989-5D65CC6A5A5B Q30832120-5FADA783-B2E7-4134-8904-CEFB4E61616F Q30964731-A89BCDB6-4017-4BBF-9350-9363E08D4B1D Q30977696-69B0CAC2-BCD8-423F-AC8F-CAA60F250183 Q31047637-62B4F9C3-D712-42D8-8DD3-2F0C50D14A39 Q31050007-4E653288-3A9B-4005-B34B-38253177F0B1 Q31119775-81A1E948-E270-40BC-9BC1-CC92F80BC715 Q31153643-F0C897E0-7160-4345-B67A-7326AF0B5134 Q31158833-5ACF2527-87B0-416F-B24A-3D2D148B16EA Q33612730-B668CBA3-5AD2-485E-81E4-65665AC548C6 Q33741592-3093B9E7-E104-4F4F-90CC-6A538911ECBA Q33779200-6488096C-D455-4683-919A-9A397178B323 Q34222307-AECE59EF-DF58-4CE4-B8BA-8F07A6C43F2D Q34263842-901FF37E-38F2-4A26-BD5C-80205980F32B Q34478045-495D1D90-EF30-4DBB-A040-5AC19D13CF6A Q34857132-BA9F4215-9475-44CC-870F-B5E2FF0192D7 Q35085959-35EF8E7B-9EFE-4FE0-9FCF-A246D530CCE5 Q35151440-5F25BFD1-B247-4402-92A3-6B0264FB5BE2 Q35164212-4211CF5F-8BD9-4E3C-9065-8D07718C7507 Q35187229-29AE2316-E086-405D-B195-A7F51C069EA6 Q35368842-2AFA3DFE-931C-472B-AE97-942EE1747627 Q35604331-20A1EB9F-1587-4E37-B888-9C8EC03756A1 Q35674941-3BCF6031-2992-4B04-A3E7-B6061DBC95EA Q35747943-239A5B66-CCC0-47A5-9B63-BC195A035860 Q35920255-3358EE33-D466-40A8-BBDF-7C5B2C488B24 Q35950051-E2DD0B15-842E-4FC4-8BC1-5D440235FE1F Q35964832-1212B82C-3ECE-4741-B10A-9FCC7A478541 Q35985979-A72B47EE-9767-4C95-9052-89C6EE256679 Q36176889-9ECBD690-0412-4B28-B10B-3C233A863020 Q36213347-BF2C1D80-A8EA-44D4-B690-E7ACC9137A10 Q36222815-E75B2AA2-7AF0-4D53-97E2-B9C3E54D9CB2 Q36276257-D450E984-328C-4776-9DD6-5786C1E8112B Q36278456-E87527B0-C9D8-410B-B38D-1D2C1EA42D2D Q36278946-B6315844-219C-4258-8F6E-290195548A83 Q36295228-ECCE3109-3A56-4C69-8985-C38F87813ABA

P2860

Blood-based profiles of DNA methylation predict the underlying distribution of cell types: a validation analysis.

http://www.wikidata.org/entity/Q37445282

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on 25 June 2013

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Blood-based profiles of DNA me ...... types: a validation analysis.

@en

Blood-based profiles of DNA me ...... types: a validation analysis.

@nl

type

label

Blood-based profiles of DNA me ...... types: a validation analysis.

@en

Blood-based profiles of DNA me ...... types: a validation analysis.

@nl

prefLabel

Blood-based profiles of DNA me ...... types: a validation analysis.

@en

Blood-based profiles of DNA me ...... types: a validation analysis.

@nl

P1433

Q37445282-C5CECF06-7C06-4189-BCF4-C42889DBE840

P1476

Q37445282-9689EDAF-B7A3-4B6C-8DC5-363CD47B4E68

P2093

Q37445282-2CA0054F-51B0-4612-A375-E933A612D1EF

Q37445282-50B0633F-B2D0-4B3B-913D-D3598EE85BAC

Q37445282-C82E2EC9-876B-4DA4-A7F0-749EFD6DF4C0

Q37445282-EE7DCF4E-F01B-478A-9FFE-E8769E4D4DAB

P2860

Q37445282-0F94ED1B-B136-4F14-ACDA-FCDAB9A1BCC2

Q37445282-18FC23FE-FA92-4F1A-B853-21D4D106EF7C

Q37445282-1C8EF235-5962-48F0-A237-D6F55E9AB983

Q37445282-3628A47F-7907-4366-B246-3881563933D0

Q37445282-36546540-28A2-4A35-8AE6-2749479B0660

Q37445282-3B5F8D86-B1DC-40EF-9508-E5A71980B02F

Q37445282-42239CCB-9BBA-4FFC-AF2D-D6D4E26E7000

Q37445282-4A756536-06C3-4311-9C3D-B96267062173

Q37445282-4FC7C549-6BC5-4E0D-B48E-2E96E6852C94

Q37445282-5A73FCB8-2088-4205-B666-22352B4AEC78

P304

Q37445282-19A57FA9-F430-4C40-9D32-168BEF88CE76

P31

Q37445282-841905BD-5638-47CB-BFA1-F116ED1FAA16

P356

Q37445282-46185933-5894-4F99-8FD3-31D6F108429C

P433

Q37445282-7E162CEE-F278-4D37-93F6-C560BB62060E

P478

Q37445282-F3100D12-4ABA-4957-AF53-EBB061C7F5AC

P50

Q37445282-02DB2F24-BC81-46FE-8B1D-CBA5A428813F

Q37445282-06C349E9-A74E-47F0-A7BC-D1A690BDF69B

Q37445282-24BB13AC-7F89-4980-9A79-BAFA47F4A400

Q37445282-331D0AA0-2A84-4D1D-942E-E9C8CB813F3F

P577

Q37445282-807BBB1E-1003-423E-9C9D-4477D9269F70

P698

Q37445282-A420ACCF-0091-4B46-B113-BB6986C792D5

P921

Q37445282-759814B1-85A1-49BB-A33A-CB24D1FFF343

P932

Q37445282-5BCB54D1-6C61-486F-B337-66D1EE782E82

P356

P1433

P1476

Blood-based profiles of DNA me ...... l types: a validation analysis

@en

P2093

Brock Christensen

http://www.w3.org/2001/XMLSchema#string

John K Wiencke

http://www.w3.org/2001/XMLSchema#string

Karl T Kelsey

http://www.w3.org/2001/XMLSchema#string

Margaret R Karagas

http://www.w3.org/2001/XMLSchema#string

P2860

Epigenomic profiling reveals DNA-methylation changes associated with major psychosis

An integrated resource for genome-wide identification and analysis of human tissue-specific differentially methylated regions (tDMRs)

Comprehensive methylome map of lineage commitment from haematopoietic progenitors

Peripheral blood DNA methylation profiles are indicative of head and neck squamous cell carcinoma: an epigenome-wide association study

Peripheral blood immune cell methylation profiles are associated with nonhematopoietic cancers

Capturing heterogeneity in gene expression studies by surrogate variable analysis

Adjusting batch effects in microarray expression data using empirical Bayes methods

Factors underlying variable DNA methylation in a human community cohort

DNA methylation arrays as surrogate measures of cell mixture distribution.

An epigenetic signature in peripheral blood predicts active ovarian cancer

P304

816-826

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.4161/EPI.25430

http://www.w3.org/2001/XMLSchema#string

P433

8

http://www.w3.org/2001/XMLSchema#string

P478

8

http://www.w3.org/2001/XMLSchema#string

P50

Andres Houseman

Devin C Koestler

P577

2013-06-25T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

23903776

http://www.w3.org/2001/XMLSchema#string

P921

DNA methylation

P932

3883785

http://www.w3.org/2001/XMLSchema#string