Evidence map›Paper›PMID 42185625›Full record

ArticleNature genetics2026

Exome-wide association study of blood lipids in 1,158,017 individuals from diverse populations.

Satoshi Koyama, Zhi Yu, Seung Hoan Choi, Sean J Jurgens, Margaret Sunitha Selvaraj, Derek Klarin, Jennifer E Huffman, Shoa L Clarke, Selena K Zhang, Michael N Trinh and 20 more

Abstract read
In one paragraph

Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. A sex-specific genome-wide association study of blood lipid levels in All of Us.medRxiv : the preprint server for health sciences · 2025
    Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Satoshi KoyamaVA Boston Healthcare System, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9286-0360
Zhi YuVA Boston Healthcare System, Boston, MA, USA.ORCID http://orcid.org/0000-0003-4810-3474
Seung Hoan ChoiProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Sean J JurgensDivision of Cardiology, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1605-9782
Margaret Sunitha SelvarajDivision of Cardiology, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.
Derek KlarinVA Palo Alto Healthcare System, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-4636-5780
Jennifer E HuffmanVA Boston Healthcare System, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9672-2491
Shoa L ClarkeVA Palo Alto Healthcare System, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-6592-1172
Selena K ZhangDivision of Cardiology, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.ORCID http://orcid.org/0000-0003-4499-4820
Michael N TrinhDivision of Cardiology, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.
Akshaya RaviDivision of Cardiology, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.
Jacqueline S DronProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-3045-6530
Catherine SpinksDivision of Cardiology, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.
Ida SurakkaDivision of Cardiology, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.
Aarushi BhatnagarDivision of Cardiology, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.ORCID http://orcid.org/0009-0004-4699-6779
Kim LanneryDivision of Cardiology, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.
Whitney HornsbyDivision of Cardiology, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.
Scott M DamrauerCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-8009-1632
Kyong-Mi ChangCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-6811-9364
Julie A LynchVA Salt Lake City Health Care System, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0003-0108-2127
Themistocles L AssimesVA Palo Alto Healthcare System, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0003-2349-0009
Philip S TsaoVA Palo Alto Healthcare System, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0001-7274-9318
Daniel J RaderUniversity of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-9245-9876
Kelly ChoVA Boston Healthcare System, Boston, MA, USA.
Gina M PelosoVA Boston Healthcare System, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5355-8636
Patrick T EllinorDivision of Cardiology, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.ORCID http://orcid.org/0000-0002-2067-0533
Yan V SunVA Atlanta Healthcare System, Decatur, GA, USA.ORCID http://orcid.org/0000-0002-2838-1824
Peter W F WilsonVA Atlanta Healthcare System, Decatur, GA, USA.ORCID http://orcid.org/0000-0002-5653-7056
VA Million Veteran Program
Pradeep NatarajanVA Boston Healthcare System, Boston, MA, USA. pnatarajan@mgh.harvard.edu.ORCID http://orcid.org/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
$7.3M
Whole genome sequences in individuals to comprehensively characterize the genetic mechanisms of dyslipidemiasR01HL142711 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Satoshi Koyama, Gina Marie Peloso · 2019 to 2026
$4.7M
Whole genome sequence interpretation for lipids to discover new genes and mechanisms for coronary artery diseaseK99HL169733 · NHLBI · BROAD INSTITUTE, INC. · PI KOYAMA, SATOSHI · 2023 to 2024
$330k
Multi-omic dissection of clonal hematopoiesis-associated diseasesK99HG012956 · NHGRI · BROAD INSTITUTE, INC. · PI YU, ZHI · 2023 to 2023
$137k
American Heart Association (American Heart Association, Inc.) https://doi.org/10.58275/AHA.23SCEFIA1153369.pc.gr.173943U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) K99HL169733U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL127564U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL142711U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) K99HG012956U.S. Department of Veterans Affairs (Department of Veterans Affairs) BX003362U.S. Department of Veterans Affairs (Department of Veterans Affairs) IK2BX005759-01
6 · The paper itself

Abstract

Rare coding alleles have crucial roles in the molecular diagnosis of genetic diseases. However, the systematic identification of these alleles has been challenging due to their scarcity in the general population. Here we discovered and characterized rare coding alleles contributing to genetic dyslipidemia, a principal risk for coronary artery disease (CAD), among 1,158,017 multi-ancestral individuals. Testing 2,997,401 rare coding variants, we identified 800 exome-wide significant associations (176 predicted loss of function (pLoF) and 624 missense variants). Associated alleles are enriched in functional variant classes, show significant additive and recessive associations, exhibit similar effects across populations and resolve pathogenicity for variants of unknown significance. Furthermore, we identified five lipid-associated genes associated with CAD. Among them, silencing RORC represents a potential therapeutic target for lowering low-density lipoprotein cholesterol. This study provides resources and insights for understanding causal mechanisms, quantifying the expressivity of rare coding alleles and identifying new drug targets for dyslipidemia across diverse populations.

Indexed as

DyslipidemiasExomeLipidsAllelesCoronary Artery DiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideLipids

Identifiers

PMID42185625
PMCPMC13263153

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.