Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Large-Scale Profiling Reveals the Influence of Genetic Variation on Gene Expression in Human Induced Pluripotent Stem Cells.

Cell stem cell - 6 Apr 2017

DeBoever Christopher, Li He, Jakubosky David, Benaglio Paola, Reyna Joaquin, Olson Katrina M, Huang Hui, Biggs William, Sandoval Efren, D'Antonio Matteo, Jepsen Kristen, Matsui Hiroko, Arias Angelo, Ren Bing, Nariai Naoki, Smith Erin N, D'Antonio-Chronowska Agnieszka, Farley Emma K, Frazer Kelly A

Abstract excerpt

In this study, we used whole-genome sequencing and gene expression profiling of 215 human induced pluripotent stem cell (iPSC) lines from different donors to identify genetic variants associated with RNA expression for 5,746 genes. We were able to predict causal variants for these expression quantitative trait loci (eQTLs) that disrupt transcription factor binding and validated a subset of them experimentally. We...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cellular Reprogramming
Share to Chromosomes, Human, X

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to DNA Copy Number Variations

Share to Genetic Heterogeneity

Share to Induced Pluripotent Stem Cells

Share to Molecular Sequence Annotation

Share to Quantitative Trait Loci

Share to Regulatory Sequences, Nucleic Acid

Source

Open in PubMed Open full text

Identifiers

PMID: 28388430
DOI: 10.1016/j.stem.2017.03.009
PMCID: PMC5444918

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Large-Scale Profiling Reveals the Influence of Genetic Variation on Gene Expression in Human Induced Pluripotent Stem Cells.PMID 28388430Read ↗

A robust approach to identifying tissue-specific gene expression regulatory variants using personalized human induced pluripotent stem cells.Semantic proximity Read ↗

Common genetic variation drives molecular heterogeneity in human iPSCs.Semantic proximity Read ↗

Systematic assessment of regulatory effects of human disease variants in pluripotent cellsSemantic proximity Read ↗

Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics.Semantic proximity Read ↗

Analysis of Transcriptional Variability in a Large Human iPSC Library Reveals Genetic and Non-genetic Determinants of Heterogeneity.Semantic proximity Read ↗

Single cell eQTL analysis identifies cell type-specific genetic control of gene expression in fibroblasts and reprogrammed induced pluripotent stem cellsSemantic proximity Read ↗

Functional dynamic genetic effects on gene regulation are specific to particular cell types and environmental conditionsSemantic proximity Read ↗

Common genetic variation drives molecular heterogeneity in human IPSCsSemantic proximity Read ↗

The impact of structural variation on human gene expressionSemantic proximity Read ↗

Functional phenotyping of genomic variants using joint multiomic single-cell DNA-RNA sequencing.Semantic proximity Read ↗

Understanding mechanisms underlying human gene expression variation with RNA sequencing.Semantic proximity Read ↗

Discovery and characterization of variance QTLs in human induced pluripotent stem cellsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.