ArticleNature genetics2018
Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program.
Registry-linked trialAbstract read
In one paragraph
Article in Nature genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04331535 (Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care), which is not on this map. Cited by 378 papers, 19 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
378citing papers in PubMed, 19 pooled it
–field-weighted citation impact
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.
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.
Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care
Who cites it
378 citing papers in PubMed, 19 syntheses or guidelines pooled it.
- Does Intensive Therapy Targeting Modifiable Risk Factors Prevent Diabetic Neuropathy in Adults with Type 2 Diabetes? A Systematic Review and Meta-analysis of Randomized Clinical Trials.Journal of general internal medicine · 2026Pooled it
- Genome-wide gene-sleep interaction study identifies novel lipid loci in 732,564 participants.Atherosclerosis · 2026Pooled it
- Whole genome sequence analysis of low-density lipoprotein cholesterol across 246 K individuals.Genome biology · 2025Pooled it
- Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids.Translational psychiatry · 2025Pooled it
- Large-scale multi-omics analyses in Hispanic/Latino populations identify genes for cardiometabolic traits.Nature communications · 2025Pooled it
- Multi-ancestry GWAS meta-analyses of lung cancer reveal susceptibility loci and elucidate smoking-independent genetic risk.Nature communications · 2024Pooled it
- Genome-wide association meta-analysis identifies risk loci for abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target.Nature genetics · 2023Pooled it
- Multi-trait discovery and fine-mapping of lipid loci in 125,000 individuals of African ancestry.Nature communications · 2023Pooled it
- The Association between Circulating Lipids and Female Infertility Risk: A Univariable and Multivariable Mendelian Randomization Analysis.Nutrients · 2023Pooled it
- Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies.Nature genetics · 2023Pooled it
- Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis.Genome biology · 2022Pooled it
- Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants.Nature genetics · 2022Pooled it
- The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians.Nature communications · 2022Pooled it
- Genetic and clinical determinants of abdominal aortic diameter: genome-wide association studies, exome array data and Mendelian randomization study.Human molecular genetics · 2022Pooled it
- Shared genetic architectures of subjective well-being in East Asian and European ancestry populations.Nature human behaviour · 2022Pooled it
- A multi-population phenome-wide association study of genetically-predicted height in the Million Veteran Program.PLoS genetics · 2022Pooled it
- Meta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits.Nature communications · 2022Pooled it
- Twenty-Five Novel Loci for Carotid Intima-Media Thickness: A Genome-Wide Association Study in >45 000 Individuals and Meta-Analysis of >100 000 Individuals.Arteriosclerosis, thrombosis, and vascular biology · 2022Pooled it
- Meta-GWAS of PCSK9 levels detects two novel loci at APOB and TM6SF2.Human molecular genetics · 2022Pooled it
- Genetic overlap and shared risk loci between autism spectrum disorder and cardiometabolic traits.Molecular psychiatry · 2026Article
318 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
49 authors.
Derek KlarinCenter for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Scott M DamrauerCorporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA.
Kelly ChoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Yan V SunDepartment of Epidemiology, Rollins School of Public Health, Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, USA.
Tanya M TeslovichRegeneron Genetics Center, Tarrytown, NY, USA.
Jacqueline HonerlawMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
David R GagnonMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6367-3179
Scott L DuVallVA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Jin LiDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Gina M PelosoDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Mark ChaffinProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-1234-5562
Aeron M SmallCorporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA.
Jie HuangMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Hua TangDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Julie A LynchVA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Yuk-Lam HoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Dajiang J LiuDepartment of Public Health Sciences, Institute of Personalized Medicine, Penn State College of Medicine, Hershey, PA, USA.
Connor A EmdinCenter for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-2385-8259
Alexander H LiRegeneron Genetics Center, Tarrytown, NY, USA.
Jennifer E HuffmanMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9672-2491
Jennifer S LeeDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Pradeep NatarajanCenter for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Rajiv ChowdhuryCardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Danish SaleheenCorporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA.
Marijana VujkovicCorporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-4924-5714
Aris BarasRegeneron Genetics Center, Tarrytown, NY, USA.
Saiju PyarajanMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Emanuele Di AngelantonioCardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Benjamin M NealeProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1513-6077
Aliya NaheedInitiative for Noncommunicable Diseases, Health Systems and Population Studies Division, International Centre for Diarrheal Disease Research, Dhaka, Bangladesh.
Amit V KheraCenter for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
John DaneshCardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Kyong-Mi ChangCorporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA.
Gonçalo AbecasisCenter for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Cristen WillerDepartment of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0001-5645-4966
Frederick E DeweyRegeneron Genetics Center, Tarrytown, NY, USA.
David J CareyGeisinger Health System, Danville, PA, USA.
Global Lipids Genetics Consortium
Myocardial Infarction Genetics (MIGen) Consortium
Geisinger-Regeneron DiscovEHR Collaboration
VA Million Veteran Program
John ConcatoDepartment of Medicine, Yale School of Medicine, New Haven, CT, USA.
J Michael GazianoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Christopher J O'DonnellMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Philip S TsaoDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Sekar KathiresanCenter for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6724-032X
Daniel J RaderDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Peter W F WilsonAtlanta VA Medical Center, Decatur, GA, USA.
Themistocles L AssimesDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA. tassimes@stanford.edu.ORCID http://orcid.org/0000-0003-2349-0009
Funding
HARVARD-LONGWOOD RESEARCH TRAINING IN VASCULAR SURGERYT32HL007734 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI FERRAN, CHRISTIANE, LOGERFO, FRANK W · 1993 to 2023
$10.5MUsing 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
$7.3MWhole 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
$4.7MSystematic cell-based functional screening for LDL and triglyceride genesR33HL120781 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI COWAN, CHAD ALBERT, KATHIRESAN, SEKAR · 2016 to 2018
$1.6MDiscovering lipoprotein lipase pathway variants that protect against CHDK01HL125751 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI PELOSO, GINA MARIE · 2015 to 2018
$562kUnderstanding modifiers of mendelian mutation penetrance using familial hypercholesterolemia as a modelK08HL140203 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI NATARAJAN, PRADEEP · 2018 to 2019
$343kRegulatory Role of MicroRNAs in Aging-related Abdominal Aortic Aneurysm DiseaseI01BX002641 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI TSAO, PHILIP S · 2015 to 2019
–Prediction of CVD Risk in VeteransI01CX001025 · VA · VETERANS HEALTH ADMINISTRATION · PI CHO, KELLY, WILSON, PETER WYMAN · 2014 to 2025
–Genetics of Cardiometabolic Diseases in the VA PopulationI01BX003362 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI Kyong-Mi Chang, Philip S Tsao · 2017 to 2026
–Cardiovascular Disease Risk Factors, Prevalent Cardiovascular Disease, and Genetics in the Million Veteran ProgramI01BX003340 · VA · VETERANS HEALTH ADMINISTRATION · PI CHO, KELLY, WILSON, PETER WYMAN · 2017 to 2017
–BLRD VA I01 BX002641BLRD VA I01 BX003340BLRD VA I01 BX003362British Heart Foundation RG/13/13/30194CSRD VA I01 CX001025Medical Research Council MR/L003120/1NHLBI NIH HHS K01 HL125751NHLBI NIH HHS K08 HL140203NHLBI NIH HHS R01 HL127564NHLBI NIH HHS R01 HL142711NHLBI NIH HHS R33 HL120781NHLBI NIH HHS T32 HL007734
Abstract
The Million Veteran Program (MVP) was established in 2011 as a national research initiative to determine how genetic variation influences the health of US military veterans. Here we genotyped 312,571 MVP participants using a custom biobank array and linked the genetic data to laboratory and clinical phenotypes extracted from electronic health records covering a median of 10.0 years of follow-up. Among 297,626 veterans with at least one blood lipid measurement, including 57,332 black and 24,743 Hispanic participants, we tested up to around 32 million variants for association with lipid levels and identified 118 novel genome-wide significant loci after meta-analysis with data from the Global Lipids Genetics Consortium (total n > 600,000). Through a focus on mutations predicted to result in a loss of gene function and a phenome-wide association study, we propose novel indications for pharmaceutical inhibitors targeting PCSK9 (abdominal aortic aneurysm), ANGPTL4 (type 2 diabetes) and PDE3B (triglycerides and coronary disease).
Indexed as
AgedBlack PeopleCardiovascular DiseasesDiabetes Mellitus, Type 2EthnicityFemaleGenome-Wide Association StudyGenotypeHispanic or LatinoHumansLipid MetabolismLipidsMaleMiddle AgedPolymorphism, Single NucleotideVeteransLipids
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Registered trials
NCT04331535ClinicalTrials.gov
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.