Evidence map›Paper›PMID 41545632›Full record

ReviewNPJ digital medicine2026

The OurHealth Study: A digital genomic cohort for cardiometabolic risk mechanisms in US South Asians.

Shriienidhie Ganesh, Romit Bhattacharya, Aarushi Bhatnagar, Rishi Madnani, Christine Russo, Sara Haidermota, Bhaavana Oruganty, Harshil Bhavsar, Priyansh Shah, Sarah Pitafi and 16 more

Abstract readReview
In one paragraph

Review in NPJ digital medicine, 2026. 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

26 authors.

Shriienidhie Ganesh *Cardiovascular Research Center & Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Romit Bhattacharya *Cardiovascular Research Center & Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. rbhattacharya@mgh.harvard.edu.
Aarushi BhatnagarCardiovascular Research Center & Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Rishi MadnaniCardiovascular Research Center & Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Christine RussoCardiovascular Research Center & Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Sara HaidermotaCardiovascular Research Center & Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Bhaavana OrugantyProgram in Medical & Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT & Harvard, Cambridge, MA, USA.
Harshil BhavsarAlbert Einstein College of Medicine, The Bronx, NY, USA.
Priyansh ShahAlbert Einstein College of Medicine, The Bronx, NY, USA.
Sarah PitafiHarvard Medical School, Boston, MA, USA.
Nishant UppalDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Namrata SenguptaBroad Institute of MIT & Harvard, Cambridge, MA, USA.
Kenneth RiceDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Matthew P ConomosDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Ravi DaveDivision of Cardiology, David Geffen School of Medicine, Los Angeles, LA, USA.
Abha KhandelwalDepartment of Cardiovascular Medicine, Stanford School of Medicine, Stanford, CA, USA.
Aniruddh P PatelCardiovascular Research Center & Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Kaavya ParuchuriCardiovascular Research Center & Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Yamini LevitskyHeart and Vascular Institute, Newton Wellesley Hospital, Newton, MA, USA.
Sanchita Singal ParulkarDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Rohan KheraDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Martha GulatiBarbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA.
Amit V KheraVerve Therapeutics, Boston, MA, USA.
Whitney E HornsbyCardiovascular Research Center & Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Latha PalaniappanDepartment of Cardiovascular Medicine, Stanford School of Medicine, Stanford, CA, USA.
Pradeep NatarajanCardiovascular Research Center & Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. pnatarajan@mgh.harvard.edu.

Funding

Polygenic Risk Score Methods Development Consortium Coordinating CenterU01HG011697 · NHGRI · UNIVERSITY OF WASHINGTON · PI Kenneth M. Rice · 2021 to 2026
$8.8M
CTSA K12 Program at Harvard Medical SchoolK12TR004381 · NCATS · HARVARD MEDICAL SCHOOL · PI Karen K Miller · 2023 to 2026
$6.5M
Enabling improved applicability and transferability of polygenic scores across populationsU01HG011719 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2021 to 2026
$5.5M
Harvard Catalyst 1K12TR004381-01NCATS NIH HHS K12 TR004381NHGRI NIH HHS U01 HG011697NHGRI NIH HHS U01 HG011719NIH HHS U01HG011697NIH HHS U01HG011719
6 · The paper itself

Abstract

South Asians experience disproportionately elevated cardiometabolic disease risk yet remain underrepresented in genomic research. The OurHealth Study builds a digital biobank of US South Asian adults, integrating remote surveys, mailed biospecimens for sequencing, and electronic health record sharing to identify genetic and non-genetic drivers of cardiometabolic disease. By pairing remote participation with culturally tailored outreach, OurHealth enhances accessibility, supports granular phenotyping, and addresses logistical barriers to genomic research inclusion.

Identifiers

PMID41545632
PMCPMC12901200

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.