Evidence map›Paper›PMID 36540996›Full record

ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2023

Diversity is key for cross-ancestry transferability of glaucoma genetic risk scores in Hispanic Veterans in the Million Veteran Program.

Andrea R Waksmunski, Tyler G Kinzy, Lauren A Cruz, Cari L Nealon, Christopher W Halladay, Scott A Anthony, Paul B Greenberg, Jack M Sullivan, Wen-Chih Wu, Sudha K Iyengar and 3 more

Open access · goldAbstract read
In one paragraph

Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% of its field
1 · What the graph read from it

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 registry

The 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 literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 1 country.

Andrea R WaksmunskiCleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Wolstein Research Building, 2103 Cornell Road, Cleveland, OH 44106, USA, axw360@case.edu.
Tyler G Kinzy
Lauren A Cruz
Cari L Nealon
Christopher W Halladay
Scott A Anthony
Paul B Greenberg
Jack M Sullivan
Wen-Chih Wu
Sudha K Iyengar
Dana C Crawford
Neal S Peachey
Jessica N Cooke Bailey
VA Northeast Ohio Healthcare System · USCase Western Reserve University · USProvidence VA Medical Center · USBrown University · USCleveland Clinic · USCornell University · USVA Western New York Healthcare System · US

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
TISSUE CULTURE AND HYBRIDOMA MODULEP30EY011373 · NEI · CASE WESTERN RESERVE UNIVERSITY · PI Irina A Pikuleva · 1997 to 2026
$17.7M
RESOURCE/SERVICE CORE C - MOLECULAR INFORMATICS MODULEP30EY025585 · NEI · CLEVELAND CLINIC LERNER COM-CWRU · PI BELA ANAND-APTE · 2016 to 2026
$7.7M
BIOMETRIC-GENETIC ANALYSIS OF CARDIOVASCULAR DISEASET32HL007567 · NHLBI · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ZHU, XIAOFENG · 1985 to 2021
$6.0M
VISUAL SCIENCES TRAINING PROGRAMT32EY007157 · NEI · CASE WESTERN RESERVE UNIVERSITY · PI Johannes Friedrich von Lintig · 2000 to 2026
$5.5M
Prioritizing diversity in polygenic risk prediction of primary open-angle glaucomaR01EY033829 · NEI · EAST CAROLINA UNIVERSITY · PI Jessica N Cooke Bailey · 2022 to 2026
$3.6M
NRSA Training CoreTL1TR002549 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI HARDING, CLIFFORD V · 2018 to 2022
$2.9M
Deciphering Genetic and Environmental Influences on Visual Disorders in the Million Veteran ProgramI01BX004557 · VA · LOUIS STOKES CLEVELAND VA MEDICAL CENTER · PI PEACHEY, NEAL S. · 2019 to 2025
–
BLR&D Research Career Scientist AwardIK6BX005233 · VA · LOUIS STOKES CLEVELAND VA MEDICAL CENTER · PI NEAL S. PEACHEY · 2020 to 2026
–
BLRD VA I01 BX004557BLRD VA IK6 BX005233NCATS NIH HHS TL1 TR002549NCATS NIH HHS UL1 TR002548NEI NIH HHS P30 EY011373NEI NIH HHS P30 EY025585NEI NIH HHS R01 EY033829NEI NIH HHS T32 EY007157NHLBI NIH HHS T32 HL007567
6 · The paper itself

Abstract

A major goal of precision medicine is to stratify patients based on their genetic risk for a disease to inform future screening and intervention strategies. For conditions like primary open-angle glaucoma (POAG), the genetic risk architecture is complicated with multiple variants contributing small effects on risk. Following the tepid success of genome-wide association studies for high-effect disease risk variant discovery, genetic risk scores (GRS), which collate effects from multiple genetic variants into a single measure, have shown promise for disease risk stratification. We assessed the application of GRS for POAG risk stratification in Hispanic-descent (HIS) and European-descent (EUR) Veterans in the Million Veteran Program. Unweighted and cross-ancestry meta-weighted GRS were calculated based on 127 genomic variants identified in the most recent report of cross-ancestry POAG meta-analyses. We found that both GRS types were associated with POAG case-control status and performed similarly in HIS and EUR Veterans. This trend was also seen in our subset analysis of HIS Veterans with less than 50% EUR global genetic ancestry. Our findings highlight the importance of evaluating GRS based on known POAG risk variants in different ancestry groups and emphasize the need for more multi-ancestry POAG genetic studies.

Indexed as

Glaucoma, Open-AngleVeteransComputational BiologyGenetic Predisposition to DiseaseGenome-Wide Association StudyHispanic or LatinoHumansPolymorphism, Single NucleotideRisk Factors

Identifiers

PMID36540996
PMCPMC9997528
OpenAlexW4309847902

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.