Study / S5YR4P3UP2015-06-17

Massively parallel quantification of the regulatory effects of noncoding genetic variation in a human cohort

Christopher M. Vockley, Cong Guo, William H. Majoros, Michael Nodzenski, Denise M. Scholtens et al.

About this study

We report a novel high-throughput method to empirically quantify individual-specific regulatory element activity at the population scale. The approach combines targeted DNA capture with a high-throughput reporter gene expression assay. As demonstration, we measured the activity of more than 100 putative regulatory elements from 95 individuals in a single experiment. In agreement with previous reports, we found that most genetic variants have weak effects on distal regulatory element activity. Because haplotypes are typically maintained within but not between assayed regulatory elements, the approach can be used to identify causal regulatory haplotypes that likely contribute to human phenotypes. Finally, we demonstrate the utility of the method to functionally fine map causal regulatory variants in regions of high linkage disequilibrium identified by expression quantitative trait loci (eQTL) analyses.

Full author list & citation

Christopher M. Vockley, Cong Guo, William H. Majoros, Michael Nodzenski, Denise M. Scholtens, M. Geoffrey Hayes, William L. Lowe Jr., Timothy E. Reddy. Massively parallel quantification of the regulatory effects of noncoding genetic variation in a human cohort. 2015-06-17. https://doi.org/10.1101/gr.190090.115

Experiments 1

E2F7DFQM1

Population-scale STARR-seq assay of allele-specific regulatory activity

A targeted population STARR-seq library cloned 174 candidate regulatory amplicons from 95 HAPO-cohort donor genomes into the 3′ UTR of an episomal STARR-seq reporter. Seven HepG2 RNA output replicates were compared with the input plasmid DNA library to quantify allele-specific activity at 283 SNPs; phased haplotype effects are retained in raw_data.

Standard STARR-seqHumanhg19
Explore data

Raw source data 15 files

Original supplemental and deposited inputs retained for this study. Download files individually or together as a ZIP; nested folders are preserved. Source reuse terms apply, and sequencing reads may be omitted.

Download all 15 files (ZIP)GSE68331.xmlGSE68331_family.soft.gzGSE68331_haplotypes.fasta.gzGSE68331_series_matrix.txt.gzGSE68331_SNP-fdr.txt.gzPMC4510004_supplemental_material_bioc.xmlREADME.txtsupp_gr.190090.115_Supplemental_Data_1_coordinates.txtsupp_gr.190090.115_Supplemental_Data_2_capture_probes.tsvsupp_gr.190090.115_Supplemental_Data_4_variant_effects.tsvsupp_gr.190090.115_Supplemental_Data_5_enhancer_activity_scores.txtsupp_gr.190090.115_Supplemental_Data_6_enhancer_activity_scores.txtsupp_gr.190090.115_Supplemental_Data_7_haplotype_sequences.tsvsupp_gr.190090.115_Supplemental_Data_8_haplotype_effects.tsvsupp_gr.190090.115_Supplemental_Information_bioc.xml

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