Paper · 42523604

PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups.

Levi H and 101 others. medRxiv, 2026. Cited by 0 papers, by iCite.

11 sourcespapers-2026-11-12-0.1.0

Cite this record

ConductScience Library. PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups. Papers, record 42523604. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42523604

On this page

Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title: PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups.; PubMed
Journal: medRxiv; PubMed
Year: 2026; PubMed
Publication types: Journal Article, Preprint; PubMed
PubMed: https://pubmed.ncbi.nlm.nih.gov/42523604/; PubMed
DOI: https://doi.org/10.64898/2026.07.12.26357860; PubMed
PMC: https://pmc.ncbi.nlm.nih.gov/articles/PMC13405543/; PubMed
The journal: https://conductscience.org/library/journal-index/101767986; PubMed
Citations, by iCite: 0; iCite
Revised in PubMed: 2026-09-23; PubMed

Authors102

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

Order	Author	Forename
1	Levi H	Hagai
2	Wang Q	Qin
3	Bolla MK	Manjeet K
4	Dennis J	Joe
5	Andrulis IL	Irene L
6	Antonenkova N	Natalia
7	Au CH	Chun Hang
8	Augustinsson A	Annelie
9	Beane Freeman LE	Laura E
10	Behrens S	Sabine

1 to 10 of 102Source PubMed

See all 102 authors

Topics0

NLM's MeSH indexing of the paper, its major topics first.

None in this release.

Grants52

Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.

Grant, as the record writes it	Agency	Country	NIH project	Stated by	Source
R01 CA176785	NCI NIH HHS	United States	R01CA176785	PubMed	NIH RePORTER
NU58DP006344	NCCDPHP CDC HHS	United States		PubMed	PubMed
UM1 CA176726	NCI NIH HHS	United States	UM1CA176726	PubMed	NIH RePORTER
R37 CA070867	NCI NIH HHS	United States	R37CA070867	PubMed	NIH RePORTER
R01 CA058860	NCI NIH HHS	United States	R01CA058860	PubMed	NIH RePORTER
R01 CA128978	NCI NIH HHS	United States	R01CA128978	PubMed	NIH RePORTER
R01 CA064277	NCI NIH HHS	United States	R01CA064277	PubMed	NIH RePORTER
P50 CA116201	NCI NIH HHS	United States	P50CA116201	PubMed	NIH RePORTER
HHSN261201800015C	NCI NIH HHS	United States		PubMed	PubMed
R01 CA192393	NCI NIH HHS	United States	R01CA192393	PubMed	NIH RePORTER

1 to 10 of 52

See all 52 grants

Trials0

The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.

None in this release.

Comments and corrections0

PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.

None in this release.

References17

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

Order	PMID	Title	Journal	Year	In Papers	Source
1	40,802,796	A survey on deep learning for polygenic risk scores.	Brief Bioinform	2025	https://conductscience.org/library/papers/40802796	PubMed
2	39,562,137	Modeling gene interactions in polygenic prediction via geometric deep learning.	Genome Res	2025	https://conductscience.org/library/papers/39562137	PubMed
3	24,253,340	Genome-wide association study implicates NDST3 in schizophrenia and bipolar disorder.	Nat Commun	2013	https://conductscience.org/library/papers/24253340	PubMed
4	25,642,630	LD Score regression distinguishes confounding from polygenicity in genome-wide association studies.	Nat Genet	2015	https://conductscience.org/library/papers/25642630	PubMed
5	40,811,291	DBNX: A Machine Learning Method for Ensembling Polygenic Risk Scores and Non-Genetic Factors.	IEEE Trans Comput Biol Bioinform	2025	https://conductscience.org/library/papers/40811291	PubMed
6	30,554,720	Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.	Am J Hum Genet	2019	https://conductscience.org/library/papers/30554720	PubMed
7	25,056,061	Biological insights from 108 schizophrenia-associated genetic loci.	Nature	2014	https://conductscience.org/library/papers/25056061	PubMed
8	30,926,966	Clinical use of current polygenic risk scores may exacerbate health disparities.	Nat Genet	2019	https://conductscience.org/library/papers/30926966	PubMed
9	35,393,596	Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores.	Nat Genet	2022	https://conductscience.org/library/papers/35393596	PubMed
10	31,363,125	A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides.	Nat Commun	2019	https://conductscience.org/library/papers/31363125	PubMed

1 to 10 of 17

See all 17 references

Cited by0

The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 0 citations.

None in this release.

Genes0

The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.

None in this release.

Drugs0

The drugs whose trials, in the Pipelines release, list the paper.

None in this release.

Data0

The data bank entries PubMed's record names. Trial numbers are under Trials.

None in this release.

Data dates

The date of each source this release read.

PubMed: 2026-11-06; PubMed
iCite: 2026-11-05; iCite
PMC's ID file: 2026-11-05; PMC's ID file
NIH RePORTER's grant and paper links: 2026-11-01; NIH RePORTER's grant and paper links
Trials: 2026-11-12
Gene search: 2026-11-11
Pipelines: 2026-09-18

Sources 11

ChEMBL, through Open TargetsCC BY-SA 3.0
ClinicalTrials.govNo license stated
HGNCCC0
iCiteCC BY 4.0
NCBI GenePublic domain (US government)
NIH RePORTER's grant and paper linksPublic domain
Open TargetsCC0 1.0
PMC's ID filePublic domain (US government)
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0

Each source's terms

ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
ClinicalTrials.govnone stated
HGNCCC0: https://www.genenames.org/about/license/
iCiteCC BY 4.0
NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

For software

Read this paper from software.

The record and each of its lists are JSON, twenty rows a page. No key.

GET https://conductscience.org/api/papers/v1/42523604

GET https://conductscience.org/api/papers/v1/42523604/authors?page=2

API reference For AI assistants