Evidence map›Paper›PMID 31039173›Full record

ArticlePloS one2019

Allele-specific enhancers mediate associations between LCAT and ABCA1 polymorphisms and HDL metabolism.

Alicia D Howard, Xiaochun Wang, Megana Prasad, Avinash Das Sahu, Radhouane Aniba, Michael Miller, Sridhar Hannenhalli, Yen-Pei Christy Chang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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.

Alicia D HowardDivision of Endocrinology, Nutrition, and Diabetes, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.ORCID 0000-0002-1616-5729
Xiaochun WangDivision of Endocrinology, Nutrition, and Diabetes, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
Megana PrasadDivision of Endocrinology, Nutrition, and Diabetes, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
Avinash Das SahuCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, United States of America.
Radhouane AnibaCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, United States of America.
Michael MillerCenter for Preventive Cardiology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America.
Sridhar HannenhalliCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, United States of America.
Yen-Pei Christy ChangDivision of Endocrinology, Nutrition, and Diabetes, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
University of Maryland, Baltimore · USUniversity of Maryland, College Park · US

Funding

Genetic & Functional Analyses of Hypertension Susceptibility GenesR01HL088120 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI CHANG, YEN PEI CHRISTY · 2007 to 2017
$3.9M
Identification and Functional characterization of a gene influencing LDL-C on 5qR01HL121007 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D · 2014 to 2017
$3.1M
NHLBI NIH HHS R01 HL088120NHLBI NIH HHS R01 HL121007
6 · The paper itself

Abstract

For most complex traits, the majority of SNPs identified through genome-wide association studies (GWAS) reside within noncoding regions that have no known function. However, these regions are enriched for the regulatory enhancers specific to the cells relevant to the specific trait. Indeed, many of the GWAS loci that have been functionally characterized lie within enhancers that regulate expression levels of key genes. In order to identify polymorphisms with potential allele-specific regulatory effects, we developed a bioinformatics pipeline that harnesses epigenetic signatures as well as transcription factor (TF) binding motifs to identify putative enhancers containing a SNP with potential allele-specific TF binding in linkage disequilibrium (LD) with a GWAS-identified SNP. We applied the approach to GWAS findings for blood lipids, revealing 7 putative enhancers harboring associated SNPs, 3 of which lie within the introns of LCAT and ABCA1, genes that play crucial roles in cholesterol biogenesis and lipoprotein metabolism. All 3 enhancers demonstrated allele-specific in vitro regulatory activity in liver-derived cell lines. We demonstrated that these putative enhancers are in close physical proximity to the promoters of their respective genes, in situ, likely through chromatin looping. In addition, the associated alleles altered the likelihood of transcription activator STAT3 binding. Our results demonstrate that through our approach, the LD blocks that contain GWAS signals, often hundreds of kilobases in size with multiple SNPs serving as statistical proxies to the true functional site, can provide an experimentally testable hypothesis for the underlying regulatory mechanism linking genetic variants to complex traits.

Indexed as

AllelesEnhancer Elements, GeneticATP Binding Cassette Transporter 1Base SequenceCell LineCholesterol, HDLChromatinGenome-Wide Association StudyHumansInterleukin-6LiverPhosphatidylcholine-Sterol O-AcyltransferasePolymorphism, Single NucleotidePromoter Regions, GeneticProtein BindingResponse ElementsABCA1 protein, humanATP Binding Cassette Transporter 1Cholesterol, HDLChromatinInterleukin-6LCAT protein, humanPhosphatidylcholine-Sterol O-AcyltransferaseSTAT3 Transcription Factor

Identifiers

PMID31039173
PMCPMC6490890
OpenAlexW2942808715

What OpenQuestion holds

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LicenceCC BY
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.