ArticlemedRxiv : the preprint server for health sciences2025
DiscoDivas: Leveraging genetic ancestry continuum information to interpolate PRS for admixed populations.
Yunfeng Ruan, Rohan Bhukar, Aniruddh Patel, Satoshi Koyama, Leland Hull, Buu Truong, So Mi Cho, Whitney Hornsby, Haoyu Zhang, Nilanjan Chatterjee and 1 more
Abstract readPreprint
In one paragraphArticle in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
11 authors.
Yunfeng RuanProgram in Medical and Population, Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID 0000-0002-3213-8309 Rohan BhukarProgram in Medical and Population, Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Aniruddh PatelProgram in Medical and Population, Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Satoshi KoyamaProgram in Medical and Population, Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID 0000-0002-9286-0360 Leland HullDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Buu TruongProgram in Medical and Population, Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID 0000-0003-0043-0812 So Mi ChoProgram in Medical and Population, Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Whitney HornsbyProgram in Medical and Population, Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Haoyu ZhangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Nilanjan ChatterjeeDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Pradeep NatarajanProgram in Medical and Population, Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID 0000-0001-8402-7435 Funding
Using genetic variation to study biology of blood lipids & coronary heart diseaseR01HL127564 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Pradeep Natarajan, Gina Marie Peloso · 2015 to 2026
$7.3MEnabling improved applicability and transferability of polygenic scores across populationsU01HG011719 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2021 to 2026
$5.5MRobust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk PredictionR01HG010480 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI CHATTERJEE, NILANJAN · 2019 to 2023
$2.8MMultifactoral breast cancer risk prediction accounting for ethnic and tumor diversityU01CA249866 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHATTERJEE, NILANJAN · 2020 to 2023
$2.3MStatistical Methods for Data Integration and Applications to Genome-wide Association StudiesR01HG013137 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI Nilanjan Chatterjee · 2024 to 2026
$843kAdvancing the clinical actionability of polygenic scores for coronary artery diseaseK08HL168238 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Aniruddh Patel · 2024 to 2026
$511kIntegration of novel contextual and genomic blood pressure measures to enhance cardiovascular disease prediction and management in young adultsK99HL177340 · NHLBI · BROAD INSTITUTE, INC. · PI So Mi Cho · 2025 to 2026
$331kStatistical Methods for Data Integration and Applications to Genome-wide Association StudiesR56HG013137 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI CHATTERJEE, NILANJAN · 2023 to 2023
$290kNCI NIH HHS U01 CA249866NHGRI NIH HHS R01 HG010480NHGRI NIH HHS R01 HG013137NHGRI NIH HHS R56 HG013137NHGRI NIH HHS U01 HG011719NHLBI NIH HHS K08 HL168238NHLBI NIH HHS K99 HL177340NHLBI NIH HHS R01 HL127564
6 · The paper itselfAbstract
The relatively low representation of admixed populations in both discovery and fine-tuning individual-level datasets limits polygenic risk score (PRS) development and equitable clinical translation for admixed populations. Under the assumption that the most informative PRS model for a genetically homogeneous sample varies linearly in an ancestry continuum space, we introduce a Genetic
Indexed as
admixed populationgenetic ancestry continuumgenetic distancepolygenic risk score (PRS)principal component analysis (PCA)PRS harmonization
Identifiers
PMID39867390
PMCPMC11759244
What OpenQuestion holds
Textmetadata
Read underepoch 390