Evidence map›Paper›PMID 30354296›Full record

ArticleCirculation. Genomic and precision medicine2018

Interactions Between Regulatory Variants in CYP7A1 (Cholesterol 7α-Hydroxylase) Promoter and Enhancer Regions Regulate CYP7A1 Expression.

Danxin Wang, Katherine Hartmann, Michal Seweryn, Wolfgang Sadee

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 24% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. A meta-analysis of the pooled impact ofFrontiers in genetics · 2023
    Pooled it
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  7. Cholesterol 7 alpha-hydroxylase (Biomolecules & biomedicine · 2025
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  8. Associations of theBiomedicines · 2024
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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

4 authors at 4 institutions in 2 countries.

Danxin WangDepartment of Cancer Biology and Genetics, Center for Pharmacogenomics, College of Medicine, Ohio State University, Columbus (D.W., K.H., W.S.).
Katherine HartmannDepartment of Cancer Biology and Genetics, Center for Pharmacogenomics, College of Medicine, Ohio State University, Columbus (D.W., K.H., W.S.).
Michal SewerynCenter for Medical Genomics OMICRON, UJ CM, Krakow, Poland (M.S.).
Wolfgang SadeeDepartment of Cancer Biology and Genetics, Center for Pharmacogenomics, College of Medicine, Ohio State University, Columbus (D.W., K.H., W.S.).
Cancer Genetics (United States) · USOmron (Japan) · JPThe Ohio State University · USUniversity of Florida · US

Funding

Pharmacogenomic Evaluation of Antihypertensive ResponsesU01GM074492 · NIGMS · UNIVERSITY OF FLORIDA · PI COOPER-DEHOFF, RHONDA M, JOHNSON, JULIE A. · 2005 to 2014
$20.7M
Expression Genetics in Drug TherapyU01GM092655 · NIGMS · OHIO STATE UNIVERSITY · PI SADEE, WOLFGANG · 2010 to 2014
$8.6M
Expression Genetics of CYP3A Drug Metabolizing EnzymesR01GM120396 · NIGMS · UNIVERSITY OF FLORIDA · PI WANG, DANXIN · 2017 to 2020
$1.1M
NIGMS NIH HHS R01 GM120396NIGMS NIH HHS U01 GM074492NIGMS NIH HHS U01 GM092655
6 · The paper itself

Abstract

backgroundCYP7A1 (cholesterol 7α-hydroxylase) catalyzes the rate-limiting step in bile acid biosynthesis from cholesterol-a main pathway for cholesterol removal from the body. CYP7A1 single-nucleotide polymorphisms (SNPs) are associated with total cholesterol and LDL (low-density lipoprotein) levels, risk of cardiovascular diseases, and other phenotypes; however, results are inconsistent, and causative variants remain uncertain, except for a frequent promoter SNP (rs3808607).

methodsWe used chromatin conformation capture (4C assay), chromatin immunoprecipitation qPCR assay in hepatocytes, and CRISPR (clustered regularly interspaced short palindromic repeats)-mediated genome editing in hepatocellular carcinoma cell line cells to identify regulatory regions for CYP7A1. We then screened for SNPs located in regulatory regions, testing effects on reporter gene assays and on hepatic CYP7A1 expression by measuring allelic mRNA expression imbalance.

results4C assays showed several regions interacting with CYP7A1 promoter. CRISPR-mediated genome editing in hepatocellular carcinoma cell line cells revealed a novel CYP7A1 enhancer and a repressor region, located >10 kb downstream of the CYP7A1 promoter. SNP screening with an allelic mRNA expression imbalance in human livers and reporter gene assays identified a frequent functional SNP (rs9297994) located in the downstream CYP7A1 enhancer region. SNP rs9297994 is in high linkage disequilibrium with promoter SNP rs3808607 but has opposite effects on CYP7A1 mRNA expression. Their combined effects using a 2-SNP model robustly associate with hepatic CYP7A1 mRNA expression, ranging >2 orders of magnitude. Moreover, only the 2-SNP model, but not each SNP alone, is significantly associated with LDL levels, risk of coronary artery disease, statin response, and diabetes mellitus in several clinical cohorts, including CATHGEN (Catheterization Genetics) and Framingham.

conclusionsTwo interacting regulatory SNPs modulate CYP7A1 expression and are associated with risk of coronary artery disease and diabetes mellitus.

Indexed as

Cholesterol 7-alpha-HydroxylaseEnhancer Elements, GeneticGene Expression Regulation, EnzymologicPolymorphism, Single NucleotidePromoter Regions, GeneticCoronary Artery DiseaseDiabetes MellitusFemaleHumansLiverMaleCholesterol 7-alpha-HydroxylaseCYP7A1 protein, humanassociationcardiovascular diseasescholesteroldiabetes mellitusgene expression

Identifiers

PMID30354296
PMCPMC6211808
OpenAlexW2897314185

What OpenQuestion holds

Textmetadata
LicenceTDM
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.