Evidence map›Paper›PMID 39399039›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Differential prediction performance between Caribbean- and Mainland-subgroups using state-of-the-art polygenic risk scores for coronary heart disease: Findings from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

Christina G Hutten, Frederick J Boehm, Jennifer A Smith, Brian W Spitzer, Sylvia Wassertheil-Smoller, Carmen R Isasi, Jianwen Cai, Jonathan T Unkart, Jiehuan Sun, Victoria Persky and 3 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Christina G HuttenUniversity of Illinois Chicago; University of Michigan.ORCID 0000-0001-9957-5952
Frederick J BoehmSouth Dakota State University.
Jennifer A SmithUniversity of Michigan.ORCID 0000-0002-3575-5468
Brian W SpitzerBeth Israel Deaconess Medical Center.
Sylvia Wassertheil-SmollerAlbert Einstein College of Medicine.ORCID 0000-0002-5447-4653
Carmen R IsasiAlbert Einstein College of Medicine.ORCID 0000-0003-2700-9593
Jianwen CaiUNC Chapel Hill.ORCID 0000-0002-4945-6733
Jonathan T UnkartSUNY Downstate Medical Center.
Jiehuan SunUniversity of Illinois Chicago.
Victoria PerskyUniversity of Illinois Chicago.
Martha L DaviglusUniversity of Illinois Chicago.ORCID 0000-0002-6791-8727
Tamar SoferBeth Israel Deaconess Medical Center.ORCID 0000-0001-8520-8860
Maria ArgosUniversity of Illinois Chicago; Boston University.

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
TRAINING IN MOLECULAR AND CELLULAR CARDIOLOGYT32HL007853 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David J. Pinsky · 1996 to 2026
$11.6M
Thalassemia Clinical Research Network, CanadaU01HL065233 · NHLBI · UNIVERSITY HEALTH NETWORK · PI OLIVIERI, NANCY F · 2000 to 2009
$2.6M
GENETIC ARCHITECTURE OF PLASMA T-PA AND PAI-1R01HL065234 · NHLBI · VANDERBILT UNIVERSITY · PI MOORE, JASON H. · 2000 to 2004
$1.7M
Training in CVD Epidemiology & Related Chronic Diseases in Minority PopulationsT32HL125294 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DAVIGLUS, MARTHA L · 2015 to 2019
$1.3M
Genetic Risk Score for Coronary Heart Disease in the Hispanic/Latino PopulationF31HL154570 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI HUTTEN, CHRISTINA G · 2021 to 2022
$95k
HISPANIC COMMUNITY HEALTH STUDY-268065233N01HC065233 · HC · COORDINATING CENTER · PI CHAMBLESS, LLOYD E · 2006 to 2006
–
NHGRI NIH HHS HHSN268201300003CNHLBI NIH HHS F31 HL154570NHLBI NIH HHS HHSN268201300001CNHLBI NIH HHS HHSN268201300003INHLBI NIH HHS HHSN268201300004CNHLBI NIH HHS HHSN268201300005CNHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS T32 HL007853NHLBI NIH HHS T32 HL125294NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

Background: Coronary heart disease (CHD) is a leading cause of death for Hispanic/Latino populations in the United States. We evaluated polygenic risk scores (PRS) with incident myocardial infarction (MI) in a Hispanic/Latino study sample. Methods: We leveraged data from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) to assess four CHD-PRS from the PGS catalog, derived using multiple methods (LDpred, AnnoPred, stacked clumping and thresholding, and LDPred2). We evaluated associations between each standardized PRS and time to adjudicated incident MI, adjusted for age, sex, first 5 principal components, and weighted for survey design. Concordance statistics (c-index) compared predictive accuracy of each PRS with, and in addition to, traditional risk factors (TRF) for CHD (obesity, hypercholesterolemia, hypertension, diabetes, and smoking). Analyses were stratified by self-reported Caribbean- (Puerto Rican, Dominican or Cuban) and Mainland-(those of Mexican, Central American, or South American) heritage subgroups. Results: After 11 years follow-up, for 9055 participants (mean age (SD) 47.6(13.1), 62.2% female), the incidence of MI was 1.0% (n = 95). Each PRS was more strongly associated with MI among Mainland participants. LDPred2 + TRF performed best among the Mainland subgroup; HR=2.69, 95% CI [1.71, 4.20], c-index = 0.897, 95% CI [0.848, 0.946]; a modest increase over TRF alone, c-index = 0.880, 95% CI [0.827, 0.933]. AnnoPred + TRF performed best among the Caribbean sample; c-index = 0.721, 95% CI [0.647, 0.795]; however, was not significantly associated with rate of MI (HR=1.14, 95% CI [0.82, 1.60]). Conclusion: PRS performance for CHD is lacking for Hispanics/Latinos of Caribbean origin who have substantial proportions of African genetic ancestry, risking increased health disparities. AnnoPred, using functional annotations, outperformed other PRS in the Caribbean subgroup, suggesting a potential strategy for PRS construction in diverse populations. These results underscore the need to optimize cumulative genetic risk prediction of CHD in diverse Hispanic/Latino populations.

Identifiers

PMID39399039
PMCPMC11469406

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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.