Massively parallel quantification of the regulatory effects of noncoding genetic variation in a human cohort.
about
The PsychENCODE projectQuantitative trait locus analysis of body shape divergence in nine-spined sticklebacks based on high-density SNP-panelTransversions have larger regulatory effects than transitions.Non-Coding Loss-of-Function Variation in Human Genomes.Direct GR Binding Sites Potentiate Clusters of TF Binding across the Human Genome.Direct Identification of Hundreds of Expression-Modulating Variants using a Multiplexed Reporter Assay.Systematic Functional Dissection of Common Genetic Variation Affecting Red Blood Cell TraitsGenomic approaches for understanding the genetics of complex disease.CRISPR-Cas9 epigenome editing enables high-throughput screening for functional regulatory elements in the human genome.Perspectives in Polycystic Ovary Syndrome: From Hair to EternitySimultaneous Pathway Activity Inference and Gene Expression Analysis Using RNA Sequencing.Novel regional age-associated DNA methylation changes within human common disease-associated lociA systematic comparison reveals substantial differences in chromosomal versus episomal encoding of enhancer activity.cepip: context-dependent epigenomic weighting for prioritization of regulatory variants and disease-associated genes.The power of multiplexed functional analysis of genetic variants.Decoding transcriptional enhancers: Evolving from annotation to functional interpretationRecent advances in high-throughput approaches to dissect enhancer functionPredicting regulatory variants with composite statistic.Systematic identification of regulatory variants associated with cancer risk.QuASAR-MPRA: Accurate allele-specific analysis for massively parallel reporter assays.Quantifying the regulatory effect size of cis-acting genetic variation using allelic fold change.Variant Interpretation: Functional Assays to the Rescue.The effect of genetic variation on promoter usage and enhancer activity.Assessing sufficiency and necessity of enhancer activities for gene expression and the mechanisms of transcription activation.Functional genomics and assays of regulatory activity detect mechanisms at loci for lipid traits and coronary artery disease.High-throughput characterization of genetic effects on DNA-protein binding and gene transcription
P2860
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P2860
Massively parallel quantification of the regulatory effects of noncoding genetic variation in a human cohort.
description
2015 nî lūn-bûn
@nan
2015 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Massively parallel quantificat ...... c variation in a human cohort.
@ast
Massively parallel quantificat ...... c variation in a human cohort.
@en
Massively parallel quantificat ...... c variation in a human cohort.
@nl
type
label
Massively parallel quantificat ...... c variation in a human cohort.
@ast
Massively parallel quantificat ...... c variation in a human cohort.
@en
Massively parallel quantificat ...... c variation in a human cohort.
@nl
prefLabel
Massively parallel quantificat ...... c variation in a human cohort.
@ast
Massively parallel quantificat ...... c variation in a human cohort.
@en
Massively parallel quantificat ...... c variation in a human cohort.
@nl
P2093
P2860
P356
P1433
P1476
Massively parallel quantificat ...... c variation in a human cohort.
@en
P2093
Christopher M Vockley
Denise M Scholtens
Michael Nodzenski
Timothy E Reddy
William H Majoros
William L Lowe
P2860
P304
P356
10.1101/GR.190090.115
P577
2015-06-17T00:00:00Z