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Meta-Analysis of Transcriptome-Wide Association Studies Across 13 Brain Tissues Identified Novel Clusters of Genes Associated with Nicotine Addiction

Preprints.org(2021)10.20944/preprints202111.0386.v1Source: DataRank Database

Meta-Analysis of Transcriptome-Wide Association Studies Across 13 Brain Tissues Identified Novel Clusters of Genes Associated with Nicotine Addiction is a research paper published in Preprints.org (2021). On theSindex it has a DataRank of 0. It has been cited 3 times.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: greenTopics (41)IDs (PubMed, OpenAlex)SDGs (2)

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Authors (10)

Mo Chen ORCID,Hongjie Ke,Qi Yan ORCID,Chixiang Chen ORCID,Elliot Hong

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W3217479507

National Institutes of Health

Grant: 1R01EB015611-01

SOLAR-Eclipse Computational Tools for Imaging Genetics

National Institutes of Health

Grant: 1RF1MH123163-01A1

Redefine Trans-Neuropsychiatric Disorder Brain Patterns through Big-Data and Machine Learning

National Institutes of Health

Grant: 1DP1DA048968-01

A Multivariate Mediation and Deep Learning Framework for Genome-Connectome -Substance Use Research

National Institutes of Health

Grant: 1S10OD023696-01A1

Hybrid GPU/CPU Computing Resource to Support Connectomic and Genomics

greenLicense: cc-by

repositoryhttps://www.preprints.org/manuscript/202111.0386/v1/download

repositoryhttps://doi.org/10.20944/preprints202111.0386.v1

repositoryhttp://hdl.handle.net/1903/31158

repositoryhttps://doi.org/10.13016/dspace/nven-tbcp

Fields of Study

Alcohol Consumption and Health EffectsGenetic Associations and EpidemiologyPeroxisome Proliferator-Activated Receptors0301 basic medicine03 medical and health sciences0303 health sciences

Keywords

Expression quantitative trait lociGenome-wide association studyBiologyTranscriptomeGenetic associationGeneGeneticsNicotineQuantitative trait locusLinkage disequilibriumSingle-nucleotide polymorphismComputational biologyGene expressionNeuroscienceGenotypeAdultMaleQuantitative Trait Loci610Polymorphism, Single NucleotideArticlenicotine addiction616HumansGenetic Predisposition to DiseaseAgedBiochemistry and Molecular BiologyBiology and Life SciencesBrainTobacco Use DisorderMiddle Agedtranscriptome-wide association studymeta-analysisPhenotypeFemale

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being