Evidence map›Paper›PMID 29471259›Full record

ReviewCurrent opinion in genetics & development2018

Functional genomics and assays of regulatory activity detect mechanisms at loci for lipid traits and coronary artery disease.

Tamara S Roman, Karen L Mohlke

Abstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
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

2 authors.

Tamara S RomanDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27599, United States.
Karen L MohlkeDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27599, United States. Electronic address: mohlke@med.unc.edu.

Funding

Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$11.3M
Pre-doctoral Training Program in Integrative Vascular BiologyT32HL069768 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christopher P. Mack · 2002 to 2026
$9.7M
Genetic epidemiology of rare and regulatory variants for metabolic traitsR01DK093757 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2011 to 2026
$8.2M
Functional genetic variants for type 2 diabetesU01DK105561 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOHLKE, KAREN L. · 2015 to 2019
$2.3M
NHLBI NIH HHS T32 HL069768NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R01 DK093757NIDDK NIH HHS U01 DK105561
6 · The paper itself

Abstract

Many genome-wide association studies (GWAS) have identified signals located in non-coding regions, and an increasing number of functional genomics annotations of regulatory elements and assays of regulatory activity have been used to investigate mechanisms. Genome-wide datasets that characterize chromatin structure help detect potential regulatory elements. Assays to experimentally assess candidate variants include transcriptional reporter assays, and recently, massively parallel reporter assays (MPRAs). Additionally, the effect of candidate regulatory elements and variants on gene expression and function can be evaluated using genomic editing with the CRISPR-Cas9 technology. We highlight some recent studies that employed these strategies to identify variant effects and elucidate molecular and/or biological mechanisms at GWAS loci for lipid traits and coronary artery disease.

Indexed as

Genetic Predisposition to DiseaseCoronary Artery DiseaseGenome, HumanGenome-Wide Association StudyGenomicsHumansLipidsQuantitative Trait LociLipids

Identifiers

PMID29471259
PMCPMC6089635

What OpenQuestion holds

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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.