Evidence map›Paper›PMID 33722938›Full record

ArticleGenome research2021

Correcting signal biases and detecting regulatory elements in STARR-seq data.

Young-Sook Kim, Graham D Johnson, Jungkyun Seo, Alejandro Barrera, Thomas N Cowart, William H Majoros, Alejandro Ochoa, Andrew S Allen, Timothy E Reddy

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. MPRAbase: A Massively Parallel Reporter Assay Database.bioRxiv : the preprint server for biology · 2023
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
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

9 authors at 1 institution in 2 countries.

Young-Sook KimDepartment of Biostatistics and Bioinformatics, Division of Integrative Genomics, Duke University Medical School, Durham, North Carolina 27710, USA.ORCID 0000-0001-9619-7423
Graham D JohnsonDepartment of Biostatistics and Bioinformatics, Division of Integrative Genomics, Duke University Medical School, Durham, North Carolina 27710, USA.
Jungkyun SeoDepartment of Biostatistics and Bioinformatics, Division of Integrative Genomics, Duke University Medical School, Durham, North Carolina 27710, USA.
Alejandro BarreraDepartment of Biostatistics and Bioinformatics, Division of Integrative Genomics, Duke University Medical School, Durham, North Carolina 27710, USA.
Thomas N CowartDepartment of Biostatistics and Bioinformatics, Division of Integrative Genomics, Duke University Medical School, Durham, North Carolina 27710, USA.
William H MajorosDepartment of Biostatistics and Bioinformatics, Division of Integrative Genomics, Duke University Medical School, Durham, North Carolina 27710, USA.
Alejandro OchoaDepartment of Biostatistics and Bioinformatics, Division of Integrative Genomics, Duke University Medical School, Durham, North Carolina 27710, USA.
Andrew S AllenDepartment of Biostatistics and Bioinformatics, Division of Integrative Genomics, Duke University Medical School, Durham, North Carolina 27710, USA.ORCID 0000-0002-7232-2143
Timothy E ReddyDepartment of Biostatistics and Bioinformatics, Division of Integrative Genomics, Duke University Medical School, Durham, North Carolina 27710, USA.
Duke University · US

Funding

The function and regulation of the novel pregnancy-specific hexokinase HKDC1R01DK104927 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LAYDEN, BRIAN THOMAS, REDDY, TIMOTHY E · 2015 to 2024
$7.2M
Regulatory Mechanisms of CD4+ T Cell DifferentiationUM1HG009428 · NHGRI · DUKE UNIVERSITY · PI CIOFANI, MARIA, CRAWFORD, GREGORY E · 2017 to 2021
$4.6M
Multiethnic Fine-Mapping of Polycystic Ovary Syndrome Susceptibility LociR01HD085227 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CHEN, ZIJIANG, DUNAIF, ANDREA E · 2016 to 2020
$3.2M
Quantifying the genetic diversity of human regulatory element activityR01HG010741 · NHGRI · DUKE UNIVERSITY · PI ALLEN, ANDREW S, CRAWFORD, GREGORY E · 2019 to 2022
$3.1M
Functional characterization of regulatory variants associated with maternal hyperglycemiaF32DK115188 · NIDDK · DUKE UNIVERSITY · PI JOHNSON, GRAHAM · 2017 to 2019
$184k
NHGRI NIH HHS R01 HG010741NHGRI NIH HHS UM1 HG009428NICHD NIH HHS R01 HD085227NIDDK NIH HHS F32 DK115188NIDDK NIH HHS R01 DK104927
6 · The paper itself

Abstract

High-throughput reporter assays such as self-transcribing active regulatory region sequencing (STARR-seq) have made it possible to measure regulatory element activity across the entire human genome at once. The resulting data, however, present substantial analytical challenges. Here, we identify technical biases that explain most of the variance in STARR-seq data. We then develop a statistical model to correct those biases and to improve detection of regulatory elements. This approach substantially improves precision and recall over current methods, improves detection of both activating and repressive regulatory elements, and controls for false discoveries despite strong local correlations in signal.

Indexed as

Enhancer Elements, GeneticGenome, HumanBiasHigh-Throughput Nucleotide SequencingHumans

Identifiers

PMID33722938
PMCPMC8092017
OpenAlexW3136845791

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.