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Automated feature extraction from population wearable device data identified novel loci associated with sleep and circadian rhythms

PLoS Genetics(2020)10.1371/journal.pgen.1009089Source: DataRank Database

Automated feature extraction from population wearable device data identified novel loci associated with sleep and circadian rhythms is a research paper published in PLoS Genetics (2020). On theSindex it has a DataRank of 0. It has been cited 28 times.

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Open Access28 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)OA: goldTopics (30)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, PMC)Annotations (2)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

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Reusable (0/3)

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Authors (2)

Luca Pinello ORCID,Xinyue Li ORCID

Live enrichment

PubMed:33075057 PMC:PMC7595622

NIGMS NIH HHS

Grant: R01 GM122078

Medical Research Council

Grant: MC_QA137853

NCATS NIH HHS

Grant: UL1 TR001863

Medical Research Council

Grant: MC_PC_17228

National Institutes of Health

Grant: 5R01GM122078-04

Statistical Models for Genetic Studies, Using Network and Integrative Analysis

National Science Foundation

Grant: 1902903

New Statistical Methods for High-Dimensional Association Tests with Applications to Large-Scale Genetic Data

National Science Foundation

Grant: 1713120

Misspecified Mixed Model Analysis: Theory and Application

goldLicense: cc-by

publisherhttps://doi.org/10.1371/journal.pgen.1009089

publisherhttps://dx.plos.org/10.1371/journal.pgen.1009089

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7595622

repositoryhttps://doaj.org/article/d2b63423cceb4f048ab26158b7ec6d84

repositoryhttps://hdl.handle.net/2031/d079bf1c-0908-4f67-a106-a9e4b004bc23

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

HumansGenetic Predisposition to DiseaseMarkov ChainsSleepCircadian RhythmMiddle AgedFemaleMaleGenome-Wide Association StudyActigraphySleep Wake DisordersWearable Electronic Devices

Keywords

MaleSleep Wake DisordersQH426-470Middle AgedActigraphyMarkov ChainsCircadian RhythmWearable Electronic DevicesGeneticsHumansFemaleGenetic Predisposition to DiseaseSleepResearch ArticleGenome-Wide Association Study

Sustainable Development Goals

SDG 3: 3. Good health

Additional file 1 of Association between circadian syndrome and the prevalence of kidney stones in overweight adults: a cross-sectional analysis of NHANES 2007–2018

10.6084/m9.figshare.23239868.v1figshare

Additional file 1 of Association between circadian syndrome and the prevalence of kidney stones in overweight adults: a cross-sectional analysis of NHANES 2007–2018

10.6084/m9.figshare.23239868figshare