Evidence map›Paper›PMID 30939045›Full record

ArticleCirculation. Genomic and precision medicine2019

Rare Protein-Truncating Variants in APOB, Lower Low-Density Lipoprotein Cholesterol, and Protection Against Coronary Heart Disease.

Gina M Peloso, Akihiro Nomura, Amit V Khera, Mark Chaffin, Hong-Hee Won, Diego Ardissino, John Danesh, Heribert Schunkert, James G Wilson, Nilesh Samani and 16 more

Open access · hybridAbstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
11.3field-weighted citation impact, top 1% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Low Cholesterol due to APOB Variants: Exploring the Balance Between Liver and Cardiovascular Risk.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Current Diagnosis and Management of Familial Hypobetalipoproteinemia 1.Journal of atherosclerosis and thrombosis · 2024
    Review
  13. Review
  14. Cholesterol Contributes to Risk, Severity, and Machine Learning-Driven Diagnosis of Lyme Disease.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Novel protein-truncating variant in theAtherosclerosis plus · 2022
    Article
  19. International journal of molecular sciences · 2022
    Article
  20. 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

26 authors at 3 institutions in 2 countries.

Gina M PelosoDepartment of Biostatistics, Boston University School of Public Health, MA (G.M.P.).
Akihiro NomuraDepartment of Cardiovascular and Internal Medicine, Kanazawa University Graduate School of Medicine, Kanazawa, Japan (A. Nomura, A. Nohara, M.K., H.T.).
Amit V KheraProgram in Medical and Population Genetics, Broad Institute, Cambridge, MA (A.V.K., M.C., S.K.).
Mark ChaffinProgram in Medical and Population Genetics, Broad Institute, Cambridge, MA (A.V.K., M.C., S.K.).
Hong-Hee WonSamsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea (H.-H.W.).
Diego ArdissinoCardiology, Azienda Ospedaliero-Universitaria di Parma, University of Parma, Parma, Italy (D.A.).
John DaneshMRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (J.D.), University of Cambridge, Cambridge, United Kingdom.
Heribert SchunkertDeutsches Herzzentrum München, Technische Universität München, Deutsches Zentrum für Herz-Kreislauf-Forschung, München, Germany (H.S.).
James G WilsonDepartment of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS (J.G.W.).
Nilesh SamaniDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom (N.S.).
Jeanette ErdmannInstitute for Integrative and Experimental Genomics, University of Lübeck, Germany (J.E.).
Ruth McPhersonUniversity of Ottawa Heart Institute, Ottawa, Canada (R.M.).
Hugh WatkinsCardiovascular Medicine, Radcliffe Department of Medicine and Wellcome Trust Center for Human Genetics, University of Oxford, Oxford, United Kingdom (H.W.).
Danish SaleheenDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA (D.S.).
Shane McCarthyRegeneron Genetics Center, Tarrytown, NY (S.M., T.M.T., F.E.D., A.B.).
Tanya M TeslovichRegeneron Genetics Center, Tarrytown, NY (S.M., T.M.T., F.E.D., A.B.).
Joseph B LeaderGeisinger Health System, Danville, PA (J.B.L., H.L.K., D.J.C.).
H Lester KirchnerGeisinger Health System, Danville, PA (J.B.L., H.L.K., D.J.C.).
Jaume MarrugatRegistre Gironí del Cor group, IMIM (Hospital del Mar Research Institute), Barcelona, Spain (J.M.). CIBER Enfermedades Cardiovasculares (CIBERCV), Barcelona, Spain (J.M.).
Atsushi NoharaDepartment of Cardiovascular and Internal Medicine, Kanazawa University Graduate School of Medicine, Kanazawa, Japan (A. Nomura, A. Nohara, M.K., H.T.).
Masa-Aki KawashiriDepartment of Cardiovascular and Internal Medicine, Kanazawa University Graduate School of Medicine, Kanazawa, Japan (A. Nomura, A. Nohara, M.K., H.T.).
Hayato TadaDepartment of Cardiovascular and Internal Medicine, Kanazawa University Graduate School of Medicine, Kanazawa, Japan (A. Nomura, A. Nohara, M.K., H.T.).
Frederick E DeweyRegeneron Genetics Center, Tarrytown, NY (S.M., T.M.T., F.E.D., A.B.).
David J CareyGeisinger Health System, Danville, PA (J.B.L., H.L.K., D.J.C.).
Aris BarasRegeneron Genetics Center, Tarrytown, NY (S.M., T.M.T., F.E.D., A.B.).
Sekar KathiresanProgram in Medical and Population Genetics, Broad Institute, Cambridge, MA (A.V.K., M.C., S.K.).
Deutsches Herzzentrum München · DEUniversity of Lübeck · DEUniversity of Pennsylvania · US

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI JONES, ALAN E · 2016 to 2025
$38.2M
Northwest Genomics CenterRC2HL102926 · NHLBI · UNIVERSITY OF WASHINGTON · PI GREEN, PHILIP P, NICKERSON, DEBORAH A · 2009 to 2009
$11.0M
Comprehensive Sequencing and Analysis of Variation in NHLBI CohortsRC2HL102925 · NHLBI · BROAD INSTITUTE, INC. · PI ALTSHULER, DAVID, GABRIEL, STACEY · 2009 to 2009
$10.2M
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
ARRA - NHLBI Lung Cohorts Sequencing ProjectRC2HL102923 · NHLBI · UNIVERSITY OF WASHINGTON · PI BAMSHAD, MICHAEL JOSEPH, BARNES, KATHLEEN C · 2009 to 2009
$2.6M
WHI Sequencing Project (WHISP)RC2HL102924 · NHLBI · OHIO STATE UNIVERSITY · PI CARLSON, CHRISTOPHER S, JACKSON, REBECCA D · 2009 to 2009
$2.1M
Polygenic prediction of common, complex diseasesK08HG010155 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI KHERA, AMIT VIKRAM · 2018 to 2021
$1.1M
Human Exome Sequencing in Six Well-Phenotyped NHLBI CohortsRC2HL103010 · NHLBI · UNIVERSITY OF VIRGINIA · PI RICH, STEPHEN S. · 2009 to 2009
$817k
Discovering lipoprotein lipase pathway variants that protect against CHDK01HL125751 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI PELOSO, GINA MARIE · 2015 to 2018
$562k
Genetic determinants of triglyceride-rich lipoproteins to disentangle CHD riskR03HL141439 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI PELOSO, GINA MARIE · 2018 to 2019
$181k
British Heart Foundation CS/14/2/30841British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/10/33842British Heart Foundation RG/18/13/33946Department of HealthMedical Research Council MR/L003120/1NHGRI NIH HHS K08 HG010155NHLBI NIH HHS K01 HL125751NHLBI NIH HHS R01 HL142711NHLBI NIH HHS R03 HL141439
6 · The paper itself

Abstract

Background Familial hypobetalipoproteinemia is a genetic disorder caused by rare protein-truncating variants (PTV) in the gene encoding APOB (apolipoprotein B), the major protein component of LDL (low-density lipoprotein) and triglyceride-rich lipoprotein particles. Whether heterozygous APOB deficiency is associated with decreased risk for coronary heart disease (CHD) is uncertain. We combined family-based and large scale gene-sequencing to characterize the association of rare PTVs in APOB with circulating LDL-C (LDL cholesterol), triglycerides, and risk for CHD. Methods We sequenced the APOB gene in 29 Japanese hypobetalipoproteinemia families, as well as 57 973 individuals derived from 12 CHD case-control studies-18 442 with early-onset CHD and 39 531 controls. We defined PTVs as variants that lead to a premature stop, disrupt canonical splice-sites, or lead to insertions/deletions that shift reading frame. We tested the association of rare APOB PTV carrier status with blood lipid levels and CHD. Results Among 29 familial hypobetalipoproteinemia families, 8 families harbored APOB PTVs. Carrying 1 APOB PTV was associated with 55 mg/dL lower LDL-C ( P=3×10

Indexed as

AdultAgedApolipoproteins BCase-Control StudiesCholesterol, LDLCoronary DiseaseFemaleGenetic VariationHumansJapanMaleMiddle AgedMutationPedigreePolymorphism, Single NucleotideRisk FactorsApolipoproteins BCholesterol, LDLTriglyceridescholesterolgeneticshumanhypobetalipoproteinemiatriglycerides

Identifiers

PMID30939045
PMCPMC7044908
OpenAlexW2946343948

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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.