Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Incorporating local ancestry improves identification of ancestry-associated methylation signatures and meQTLs in African Americans

Communications Biology(2022)10.1038/s42003-022-03353-5Source: DataRank Database

Incorporating local ancestry improves identification of ancestry-associated methylation signatures and meQTLs in African Americans is a research paper published in Communications Biology (2022). On theSindex it has a DataRank of 0.610. It has been cited 19 times, with 11 citing works in its 1-hop citation network.

N/A

0.610DataRank · unranked

Scored on demand from live citation data

19 citations · 11 citing works in its network

Download PDF

Cite:

Linked data & code

refsnp

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (49 grants)Impact (FWCI 1.41)OA: goldTopics (43)Linked Datasets (4)DataCite Reuse (4)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (0/2)

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

DataRank Breakdown

Base Score 74%Citation Network 26%

Base Score Contribution

0.449

From this paper's citation signal

Citation Network Contribution

0.161

From 9 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (7)

Bradley E. Aouizerat,Youshu Cheng,Kathryn Anastos ORCID,Amy C. Justice ORCID,Luca Pinello ORCID

Live enrichment

PubMed:35488087 PMC:PMC9054854 OpenAlex:https://openalex.org/W4225145267

U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse

Grant: R01 DA038632

U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse

Grant: R01 DA047820

NHLBI NIH HHS

Grant: U01 HL146193

NHLBI NIH HHS

Grant: U01 HL146204

NIAAA NIH HHS

Grant: U10 AA013566

NIDA NIH HHS

Grant: R03 DA039745

NHLBI NIH HHS

Grant: U01 HL146203

NIAID NIH HHS

Grant: P30 AI027767

NIAID NIH HHS

Grant: P30 AI050409

NIAAA NIH HHS

Grant: U01 AA020790

NHLBI NIH HHS

Grant: U01 HL146202

NIAAA NIH HHS

Grant: U01 AA020799

NHLBI NIH HHS

Grant: U01 HL146241

NHLBI NIH HHS

Grant: U01 HL146242

NHLBI NIH HHS

Grant: U01 HL146194

NIAID NIH HHS

Grant: P30 AI050410

NIDA NIH HHS

Grant: R01 DA042691

NIAAA NIH HHS

Grant: U01 AA020795

NHLBI NIH HHS

Grant: U01 HL146245

NIDA NIH HHS

Grant: R01 DA035616

NIDA NIH HHS

Grant: R01 DA047063

NHLBI NIH HHS

Grant: U01 HL146192

NHLBI NIH HHS

Grant: U01 HL146205

NIAAA NIH HHS

Grant: U24 AA020794

NCATS NIH HHS

Grant: UL1 TR000004

National Institutes of Health

Grant: 3U01HL146202-02S1

MACS/WIHS Combined Cohort Study: Brooklyn Clinical Research Site (Bklyn CRS)

National Institutes of Health

Grant: 5R03DA039745-02

Genome-wide DNA methylation in HIV infected drug users

National Institutes of Health

Grant: 3U01HL146194-02S3

UNC MACS/WIHS Combined Cohort Study Clinical Research Site

National Institutes of Health

Grant: 5R01DA035616-03

Using the VACS Index to track health outcomes associated with changes in drug use

National Institutes of Health

Grant: 3U01HL146192-02S3

UAB-MISS MACS/WIHS Combined Cohort Study

National Institutes of Health

Grant: 5R01DA047063-04

Defining the impact of injection drug use on antiretroviral therapy and HIV treatment outcomes: an (epi)genomic approach

National Institutes of Health

Grant: 3U01AA013566-02S2

Alcohol Associated Outcomes Among HIV+/-Aging Veterans

National Institutes of Health

Grant: 5U01HL146242-07

SF Bay Area MACS/WIHS Combined Cohort Study

National Institutes of Health

Grant: 5U01AA020795-05

Integrated Stepped Care for Unhealthy Alcohol Use in HIV

National Institutes of Health

Grant: 5U01AA020799-04

Consortium to improve Outcomes in HIV/AIDS, Alcohol, Aging & multi-Substance use

National Institutes of Health

Grant: 1R01DA038632-01

Enhancing Discovery of HIV Host Genetics using Drug Abuse and other Interactions

National Institutes of Health

Grant: 5U01HL146204-02

Clinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS)

National Institutes of Health

Grant: 5P30AI050409-20

Center for AIDS Research at Emory University

National Institutes of Health

Grant: 3U24AA020794-02S2

Sex Disparities in Overall Response to ART Among HIV Infected Individuals

National Institutes of Health

Grant: 3U01HL146205-02S2

Surviving the HIV Epidemic (S/HE) in metropolitan Washington DC - Advancing knowledge through cohort studies

National Institutes of Health

Grant: 5U01HL146245-02

MACS/WIHS Combined Cohort Study: Cook County Clinical Research Site (CC_CRS)

National Institutes of Health

Grant: 5U01HL146241-05

Atlanta MACS/WIHS Combined Cohort Study Clinical Research Site

National Institutes of Health

Grant: 3U01HL146203-02S2

MACS/WIHS -CCS

National Institutes of Health

Grant: 1R01DA047820-01

Feature selection of DNA methylation biosignatures for neuropathy with comorbid drug abuse in the setting of HIV infection

National Institutes of Health

Grant: 5P30AI027767-20

UAB Center for AIDS Research

National Institutes of Health

Grant: 5P30AI050410-05

UNC Center for Aids Research

National Institutes of Health

Grant: 1U01AA020790-01

Alcohol and Multisubstance Use in the Veterans Aging Cohort Study

National Institutes of Health

Grant: 5U01HL146193-07

Data Analysis and Coordination Center for the MACS-WIHS Combined Cohort Study

U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse

FWCI

1.41

Citation Percentile

0.8%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://www.nature.com/articles/s42003-022-03353-5.pdf

publisherhttps://www.nature.com/articles/s42003-022-03353-5.pdf

publisherhttps://www.nature.com/articles/s42003-022-03353-5

journalhttps://doi.org/10.1038/s42003-022-03353-5

repositoryhttps://pubmed.ncbi.nlm.nih.gov/35488087

Fields of Study

Epigenetics and DNA MethylationGenetic Associations and EpidemiologyGenetic Syndromes and Imprinting0301 basic medicine0303 health sciences03 medical and health sciencesBlack or African AmericanBlack PeopleDNA MethylationHumansPolymorphism, Single NucleotideQuantitative Trait LociUnited States

MeSH Terms

Black or African AmericanHumansUnited StatesDNA MethylationPolymorphism, Single NucleotideQuantitative Trait LociBlack People

Keywords

Genetic genealogyAncestry-informative markerBiologyContext (archaeology)GeneticsDNA methylationSingle-nucleotide polymorphismMethylationGenetic admixtureEvolutionary biologyGenotypeGenePopulationDemographyBlack or African AmericanQH301-705.5Quantitative Trait LociBlack PeopleHumansBiology (General)Polymorphism, Single NucleotideArticleUnited States

Additional file 1 of Machine learning unveils an immune-related DNA methylation profile in germline DNA from breast cancer patients

10.6084/m9.figshare.26720976.v1figshare

Additional file 1 of Machine learning unveils an immune-related DNA methylation profile in germline DNA from breast cancer patients

10.6084/m9.figshare.26720976figshare

Additional file 2 of Machine learning unveils an immune-related DNA methylation profile in germline DNA from breast cancer patients

10.6084/m9.figshare.26720979.v1figshare

Additional file 2 of Machine learning unveils an immune-related DNA methylation profile in germline DNA from breast cancer patients

10.6084/m9.figshare.26720979figshare