Evidence map›Paper›PMID 33119910›Full record

ArticleAlcoholism, clinical and experimental research2020

Identification of Functional Genetic Variants Associated With Alcohol Dependence and Related Phenotypes Using a High-Throughput Assay.

Kriti S Thapa, Andy B Chen, Dongbing Lai, Xiaoling Xuei, Leah Wetherill, Jay A Tischfield, Yunlong Liu, Howard J Edenberg

Open access · greenAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Optimized splitting of mixed-species RNA sequencing data.Journal of bioinformatics and computational biology · 2022
    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.

Kriti S ThapaFrom the, Department of Biochemistry and Molecular Biology, (KST, HJE), Indiana University School of Medicine, Indianapolis, Indiana.
Andy B ChenDepartment of Medical and Molecular Genetics, (ABC, DL, XX, LW, YL, HJE), Indiana University School of Medicine, Indianapolis, Indiana.
Dongbing LaiDepartment of Medical and Molecular Genetics, (ABC, DL, XX, LW, YL, HJE), Indiana University School of Medicine, Indianapolis, Indiana.
Xiaoling XueiDepartment of Medical and Molecular Genetics, (ABC, DL, XX, LW, YL, HJE), Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0002-4143-2024
Leah WetherillDepartment of Medical and Molecular Genetics, (ABC, DL, XX, LW, YL, HJE), Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0003-2888-9051
Jay A TischfieldDepartment of Genetics, (JAT), Rutgers University, Piscataway, New Jersey.ORCID 0000-0003-3217-8287
Yunlong LiuDepartment of Medical and Molecular Genetics, (ABC, DL, XX, LW, YL, HJE), Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0002-2699-626X
Howard J EdenbergFrom the, Department of Biochemistry and Molecular Biology, (KST, HJE), Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0003-0344-9690
Indiana University School of MedicineRutgers, The State University of New Jersey · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JAY Arnold TISCHFIELD · 1989 to 2026
$162.7M
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
Functional genetic variants in substance use disordersR01DA053722 · NIDA · INDIANA UNIVERSITY INDIANAPOLIS · PI EDENBERG, HOWARD J, LIU, YUNLONG · 2021 to 2025
$3.1M
NIAAA NIH HHS U10 AA008401NIA NIH HHS U24 AG021886NIDA NIH HHS R01 DA053722
6 · The paper itself

Abstract

backgroundGenome-wide association studies (GWAS) of alcohol dependence (AD) and related phenotypes have identified multiple loci, but the functional variants underlying the loci have in most cases not been identified. Noncoding variants can influence phenotype by affecting gene expression; for example, variants in the 3' untranslated regions (3'UTR) can affect gene expression posttranscriptionally.

methodsWe adapted a high-throughput assay known as PASSPORT-seq (parallel assessment of polymorphisms in miRNA target sites by sequencing) to identify among variants associated with AD and related phenotypes those that cause differential expression in neuronal cell lines. Based upon meta-analyses of alcohol-related traits in African American and European Americans in the Collaborative Study on the Genetics of Alcoholism, we tested 296 single nucleotide polymorphisms (SNPs with meta-analysis p values ≤ 0.001) that were located in 3'UTRs.

resultsWe identified 60 SNPs that affected gene expression (false discovery rate [FDR] < 0.05) in SH-SY5Y cells and 92 that affected expression in SK-N-BE(2) cells. Among these, 30 SNPs altered RNA levels in the same direction in both cell lines. Many of these SNPs reside in the binding sites of miRNAs and RNA-binding proteins and are expression quantitative trait loci of genes including KIF6,FRMD4A,CADM2,ADD2,PLK2, and GAS7.

conclusionThe SNPs identified in the PASSPORT-seq assay are functional variants that might affect the risk for AD and related phenotypes. Our study provides insights into gene regulation in AD and demonstrates the value of PASSPORT-seq as a tool to screen genetic variants in GWAS loci for one potential mechanism of action.

Indexed as

3' Untranslated RegionsAlcoholismCell LineGene Expression RegulationGenetic Association StudiesHigh-Throughput Nucleotide SequencingHumansPolymorphism, Single Nucleotide3' Untranslated Regions3′Untranslated RegionsAlcohol DependenceGene ExpressionGWASNeuronal Cells

Identifiers

PMID33119910
PMCPMC7725989
OpenAlexW3095136801

What OpenQuestion holds

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Registered trials

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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.