Evidence map›Paper›PMID 26084464›Full record

ArticleGenome research2015

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, M Geoffrey Hayes, William L Lowe, Timothy E Reddy

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 119 citations in OpenAlex.

  1. Quantifying the impact of genetic mutations on enhancer dynamics.bioRxiv : the preprint server for biology · 2025
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  19. Systematic assays and resources for the functional annotation of non-coding variants.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2022
    Article
  20. Article

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Christopher M VockleyDepartment of Cell Biology, Duke University Medical School, Durham, North Carolina 27710, USA; Center for Genomic and Computational Biology, Duke University Medical School, Durham, North Carolina 27710, USA;
Cong GuoCenter for Genomic and Computational Biology, Duke University Medical School, Durham, North Carolina 27710, USA; University Program in Genetics and Genomics, Duke University, Durham, North Carolina 27710, USA;
William H MajorosCenter for Genomic and Computational Biology, Duke University Medical School, Durham, North Carolina 27710, USA; Program in Computational Biology and Bioinformatics, Duke University, Durham, North Carolina 27710, USA;
Michael NodzenskiDepartment of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA;
Denise M ScholtensDepartment of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA;
M Geoffrey HayesDivision of Endocrinology, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA;
William L LoweDivision of Endocrinology, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA;
Timothy E ReddyProgram in Computational Biology and Bioinformatics, Duke University, Durham, North Carolina 27710, USA; Department of Biostatistics and Bioinformatics, Duke University Medical School, Durham, North Carolina 27710, USA.
Duke University · USNorthwestern University · US

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
Training Program in Developmental & Stem Cell BiologyT32HD040372 · NICHD · DUKE UNIVERSITY · PI Terry H Lechler · 2001 to 2026
$8.9M
Computational Biology and Bioinformatics Training ProgramT32GM071340 · NIGMS · DUKE UNIVERSITY · PI MAGWENE, PAUL MITAARI · 2005 to 2020
$3.3M
Genetics and Genomics of Maternal Glycemia During PregnancyR01DK097534 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LOWE, WILLIAM L · 2013 to 2017
$2.1M
Genetics and Evolution of Fetal Human Fat Accretion During DevelopmentR01DK099820 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LOWE, WILLIAM L · 2013 to 2017
$2.0M
Identifying Regulatory Variants Associated with Maternal HyperglycemiaF31HD085666 · NICHD · DUKE UNIVERSITY · PI GUO, CONG · 2015 to 2015
$34k
NCI NIH HHS P30 CA060553NICHD NIH HHS F31 HD085666NICHD NIH HHS T32 HD040372NIDDK NIH HHS DK097534NIDDK NIH HHS DK099820NIDDK NIH HHS R01 DK097534NIDDK NIH HHS R01 DK099820NIGMS NIH HHS T32 GM071340
6 · The paper itself

Abstract

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.

Indexed as

Genetic VariationRegulatory Sequences, Nucleic AcidComputational BiologyGenome, HumanHaplotypesHigh-Throughput Nucleotide SequencingHumansPatient-Specific ModelingQuantitative Trait Loci

Identifiers

PMID26084464
PMCPMC4510004
OpenAlexW2107596936

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.