Evidence map›Paper›PMID 26780889›Full record

SynthesisScientific reports2016

Meta-analysis of lipid-traits in Hispanics identifies novel loci, population-specific effects, and tissue-specific enrichment of eQTLs.

Jennifer E Below, Esteban J Parra, Eric R Gamazon, Jason Torres, S Krithika, Sophie Candille, Yingchang Lu, Ani Manichakul, Jesus Peralta-Romero, Qing Duan and 15 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 6 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

52 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. COPI Coatomer Regulates Several Steps of HDL Metabolism.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Article
  8. Article
  9. Admixture Mapping of Lipid Traits in Hispanic Americans.Journal of the American Heart Association · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Alteration of oral microbiome composition in children living with pesticide-exposed farm workers.International journal of hygiene and environmental health · 2023
    Article
  14. Association ofInternational journal of molecular sciences · 2022
    Article
  15. Gene-lifestyle interactions in the genomics of human complex traits.European journal of human genetics : EJHG · 2022
    Article
  16. Genome-Wide Association Study Identifies a FunctionalArteriosclerosis, thrombosis, and vascular biology · 2021
    Article
  17. The Genetic Basis of Hypertriglyceridemia.Current atherosclerosis reports · 2021
    Review
  18. Article
  19. The Role of the ATP-Binding Cassette A1 (ABCA1) in Human Disease.International journal of molecular sciences · 2021
    Review
  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

25 authors.

Jennifer E BelowDivision of epidemiology, Human Genetics &Environmental Sciences, University of Texas School of Public Health, Houston, Texas, USA.
Esteban J ParraDepartment of Anthropology, University of Toronto at Mississauga, Mississauga, Ontario, Canada.
Eric R GamazonSection of Genetic Medicine, Department of Medicine, University of Chicago, Illinois, USA.
Jason TorresSection of Genetic Medicine, Department of Medicine, University of Chicago, Illinois, USA.
S KrithikaDepartment of Anthropology, University of Toronto at Mississauga, Mississauga, Ontario, Canada.
Sophie CandilleDepartment of Genetics, Stanford University School of Medicine, Stanford, California, USA.
Yingchang LuThe Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Ani ManichakulCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.
Jesus Peralta-RomeroUnidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, IMSS, Mexico City, Mexico.
Qing DuanDepartment of Genetics and Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Yun LiDepartment of Genetics and Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Andrew P MorrisDepartment of Biostatistics, University of Liverpool, Liverpool, United Kingdom.
Omri GottesmanThe Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Erwin BottingerThe Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Xin-Qun WangDepartment of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA.
Kent D TaylorInstitute of Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor/UCLA Medical Center, Torrance, California, USA.
Y-D Ida ChenInstitute of Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor/UCLA Medical Center, Torrance, California, USA.
Jerome I RotterInstitute of Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor/UCLA Medical Center, Torrance, California, USA.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.
Ruth J F LoosThe Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Hua TangDepartment of Genetics, Stanford University School of Medicine, Stanford, California, USA.
Nancy J CoxSection of Genetic Medicine, Department of Medicine, University of Chicago, Illinois, USA.
Miguel CruzUnidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, IMSS, Mexico City, Mexico.
Craig L HanisDivision of epidemiology, Human Genetics &Environmental Sciences, University of Texas School of Public Health, Houston, Texas, USA.
Adan Valladares-SalgadoUnidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, IMSS, Mexico City, Mexico.

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY E. PESSIN · 2015 to 2026
$27.7M
TRANSGENIC COREP60DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI BELL, GRAEME I · 1985 to 2012
$25.5M
Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Raghavendra G Mirmira · 2013 to 2026
$20.9M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Multi-Ethnic Study of Atherosclerosis (MESA) StudyR01HL071205 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI ROTTER, JEROME I · 2003 to 2007
$10.4M
Genetic Architecture of Complex Traits in Admixed PopulationsR01GM073059 · NIGMS · STANFORD UNIVERSITY · PI TANG, HUA · 2005 to 2016
$2.4M
Cigarette Smoke and Susceptibility to Influenza InfectionR01HL095163 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JASPERS, ILONA, NOAH, TERRY L · 2009 to 2013
$2.0M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
MESA Family Study - Columbia University Field CenterR01HL071252 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN J · 2003 to 2007
$1.3M
CIHRNCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NCATS NIH HHS UL1 TR000430NCRR NIH HHS RR-024156NCRR NIH HHS UL1 RR024156NHGRI NIH HHS HHSN268200782096CNHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS N01-HC-95159NHLBI NIH HHS N01-HC-95160NHLBI NIH HHS N01-HC-95161NHLBI NIH HHS N01-HC-95162NHLBI NIH HHS N01-HC-95163NHLBI NIH HHS N01-HC-95164NHLBI NIH HHS N01-HC-95165NHLBI NIH HHS N01-HC-95166NHLBI NIH HHS N01-HC-95167NHLBI NIH HHS N01-HC-95168NHLBI NIH HHS N01-HC-95169NHLBI NIH HHS N02‐HL6‐4278NHLBI NIH HHS R01 HL071051NHLBI NIH HHS R01HL071051NHLBI NIH HHS R01 HL071205NHLBI NIH HHS R01HL071205NHLBI NIH HHS R01 HL071250NHLBI NIH HHS R01HL071250NHLBI NIH HHS R01 HL071251NHLBI NIH HHS R01HL071251NHLBI NIH HHS R01 HL071252NHLBI NIH HHS R01HL071252NHLBI NIH HHS R01 HL071258NHLBI NIH HHS R01HL071258NHLBI NIH HHS R01 HL071259NHLBI NIH HHS R01HL071259NIA NIH HHS HHSN271201100004CNIDDK NIH HHS DK063491NIDDK NIH HHS P30 DK020541NIDDK NIH HHS P30 DK020595NIDDK NIH HHS P30 DK063491NIDDK NIH HHS P60 DK020595NIDDK NIH HHS P60 DK20595NIGMS NIH HHS R01 GM073059NIGMS NIH HHS R01GM073059WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

We performed genome-wide meta-analysis of lipid traits on three samples of Mexican and Mexican American ancestry comprising 4,383 individuals, and followed up significant and highly suggestive associations in three additional Hispanic samples comprising 7,876 individuals. Genome-wide significant signals were observed in or near CELSR2, ZNF259/APOA5, KANK2/DOCK6 and NCAN/MAU2 for total cholesterol, LPL, ABCA1, ZNF259/APOA5, LIPC and CETP for HDL cholesterol, CELSR2, APOB and NCAN/MAU2 for LDL cholesterol, and GCKR, TRIB1, ZNF259/APOA5 and NCAN/MAU2 for triglycerides. Linkage disequilibrium and conditional analyses indicate that signals observed at ABCA1 and LIPC for HDL cholesterol and NCAN/MAU2 for triglycerides are independent of previously reported lead SNP associations. Analyses of lead SNPs from the European Global Lipids Genetics Consortium (GLGC) dataset in our Hispanic samples show remarkable concordance of direction of effects as well as strong correlation in effect sizes. A meta-analysis of the European GLGC and our Hispanic datasets identified five novel regions reaching genome-wide significance: two for total cholesterol (FN1 and SAMM50), two for HDL cholesterol (LOC100996634 and COPB1) and one for LDL cholesterol (LINC00324/CTC1/PFAS). The top meta-analysis signals were found to be enriched for SNPs associated with gene expression in a tissue-specific fashion, suggesting an enrichment of tissue-specific function in lipid-associated loci.

Indexed as

Genetic Association StudiesHispanic or LatinoLipid MetabolismQuantitative Trait, HeritableQuantitative Trait LociGenetics, PopulationGenome-Wide Association StudyGenotypeHumansLinkage DisequilibriumLipidsMexicoOrgan SpecificityPolymorphism, Single NucleotideWhite PeopleLipids

Identifiers

PMID26780889
PMCPMC4726092

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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.