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

Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology

Cell Genomics(2023)10.1016/j.xgen.2023.100408Source: DataRank Database

Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology is a research paper published in Cell Genomics (2023). On theSindex it has a DataRank of 1.4. It has been cited 66 times, with 57 citing works in its 1-hop citation network.

N/A

1.4DataRank · unranked

Scored on demand from live citation data

Open Access66 citations · 57 citing works in its network

Download PDF

Cite:

Linked data & code

doi

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 (23 grants)Impact (FWCI 14.17)OA: goldTopics (41)IDs (PubMed, PMC, OpenAlex)Annotations (1)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)

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 45%Citation Network 55%

Base Score Contribution

0.631

From this paper's citation signal

Citation Network Contribution

0.762

From 36 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 57 citers.

Polygenic risk score portability for common diseases across genetically diverse populations
Human Genomics202443 citations27 referencesContributes 0.140
Comparison of methods for building polygenic scores for diverse populations
Human Genetics and Genomics Advances202419 citations52 referencesContributes 0.058
Transferability of European-derived Alzheimer’s disease polygenic risk scores across multiancestry populations
Nature Genetics202518 citations54 referencesContributes 0.055
Evaluation of Multiple Breast Cancer Polygenic Risk Score Panels in Women of Latin American Heritage
Cancer Epidemiology Biomarkers & Prevention20246 citations49 referencesContributes 0.040
Robust inference and widespread genetic correlates from a large-scale genetic association study of human personality
bioRxiv (Cold Spring Harbor Laboratory)202514 citations71 referencesContributes 0.038

Authors (12)

Masahiro Kanai ORCID,Taotao Tan ORCID,Mireille Kamariza ORCID,Kristin Tsuo ORCID,Kai Yuan ORCID

Live enrichment

PubMed:37868036 PMC:PMC10589629 OpenAlex:https://openalex.org/W4386776105

National Institutes of Health

Grant: K99/R00MH117229

National Institutes of Health

Grant: U01HG011719

Horizon 2020

Grant: 101016775

International consortium for integrative genomics prediction

National Institute of Mental Health

Grant: K01MH121659

National Institute of Mental Health

Grant: U01MH109539

Good Ventures Foundation

Grant: 010623-00001

National Institute on Aging

Grant: R00 AG062787

National Institute of Diabetes and Digestive and Kidney Diseases

Grant: 1R01DK129364

National Institute of Diabetes and Digestive and Kidney Diseases

Grant: K01DK114379

NIDDK NIH HHS

Grant: R01 DK129364

NHGRI NIH HHS

Grant: R01 HG012869

NIMH NIH HHS

Grant: R00 MH117229

National Institutes of Health

Grant: 1ZIADK013039-04

Molecular modeling of soluble proteins

National Institutes of Health

Grant: 5U01HG011719-03

Enabling improved applicability and transferability of polygenic scores across diverse populations- a focus on South Asians

National Institutes of Health

Grant: 3U01MH109539-04S1

2/7 Psychiatric Genomics Consortium: Finding Actionable Variation

National Institutes of Health

Grant: 5R01DK129364-02

Identification and characterization of inflammatory bowel disease causal variants

National Institutes of Health

Grant: 5K01MH121659-04

A framework enabling the genomic analysis of psychiatric traits across admixed populations.

National Institutes of Health

Grant: 3K01DK114379-04S1

Genetics and gene regulation in the inflammatory bowel diseases

National Institutes of Health

Grant: 5R00AG062787-04

Genome-wide analysis of late-onset Alzheimer's disease using intergenerational, multi-trait, and cross-ancestry data

National Institutes of Health

Grant: 4R00MH117229-03

Generalizing polygenic risk prediction methods across populations for insights into psychiatric disease

Baylor College of Medicine

Horizon 2020

Horizon 2020 Framework Programme

FWCI

14.17

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.xgen.2023.100408

publisherhttps://doi.org/10.1016/j.xgen.2023.100408

publisherhttps://api.elsevier.com/content/article/PII:S2666979X23002227?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666979X23002227?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37868036

Fields of Study

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Genome-wide association studyGeneralizability theoryGenetic associationGenetic genealogyGenetic architecturePopulationComputer scienceBiologyEvolutionary biologyDemographyQuantitative trait locusGeneticsSingle-nucleotide polymorphismStatisticsGenotypeGeneGenome-wide Association StudiesPolygenic Risk ScoresMulti-ancestryMedical SciencesCell PhenomenaLife Sciences610Genetics and GenomicsQH426-470RC31-1245ArticleBiomedical InformaticsMedical Molecular BiologyMedical SpecialtiesMedicine and Health Sciencesand ImmunityMedical GeneticsInternal medicineBiological Phenomena

Sustainable Development Goals

SDG 0: Partnerships for the goals