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Statistical power of transcriptome‐wide association studies

Genetic Epidemiology(2022)10.1002/gepi.22491Source: DataRank Database

Statistical power of transcriptome‐wide association studies is a research paper published in Genetic Epidemiology (2022). On theSindex it has a DataRank of 0. It has been cited 14 times.

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Open Access14 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (8 grants)Impact (FWCI 2.35)OA: bronzeTopics (42)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Haoran Xue ORCID,Wei Pan ORCID,for the Alzheimer's Disease Neuroimaging Initiative,Ruoyu He ORCID

Live enrichment

PubMed:35766062 PMC:PMC9669108 OpenAlex:https://openalex.org/W4283703579

National Institutes of Health

Grant: R01AG065636

National Institutes of Health

Grant: R01HL116720

National Institutes of Health

Grant: RF1AG067924

National Institutes of Health

Grant: U01AG073079

Medical Research Council

Grant: MC_QA137853

Medical Research Council

Grant: MC_PC_17228

NIA NIH HHS

Grant: U24 AG021886

NIA NIH HHS

Grant: U01 AG024904

FWCI

2.35

Citation Percentile

0.9%

Citation Trend

2022

2023

2024

2025

bronzeLicense: http://creativecommons.org/licenses/by-nc-nd/4.0/

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/gepi.22491

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/gepi.22491

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22491

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/gepi.22491

journalhttps://doi.org/10.1002/gepi.22491

Fields of Study

Genetic Associations and EpidemiologyAdvanced Causal Inference TechniquesBioinformatics and Genomic NetworksHumansTranscriptomeGenome-Wide Association StudyAlzheimer DiseaseModels, GeneticQuantitative Trait LociPolymorphism, Single NucleotideGenetic Predisposition to Disease

MeSH Terms

Alzheimer DiseaseHumansModels, GeneticGenetic Predisposition to DiseasePolymorphism, Single NucleotideQuantitative Trait LociGenome-Wide Association StudyTranscriptome

Keywords

Expression quantitative trait lociUnivariateGenome-wide association studyComputational biologyQuantitative trait locusStatistical powerGenetic associationTraitBiologyMultivariate statisticsGeneticsComputer scienceGeneStatisticsGenotypeSingle-nucleotide polymorphismMachine learningMathematicsAlzheimer's diseaseSample sizeCausal InferenceTwas2Sls

Sustainable Development Goals

SDG 0: Partnerships for the goals