Evidence map›Paper›PMID 28352986›Full record

ArticleHuman genetics2017

Genetic associations with lipoprotein subfraction measures differ by ethnicity in the multi-ethnic study of atherosclerosis (MESA).

Zhe Wang, Ani Manichukal, David C Goff, Samia Mora, Jose M Ordovas, Nicholas M Pajewski, Wendy S Post, Jerome I Rotter, Michele M Sale, Stephanie A Santorico and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

15 authors at 13 institutions in 2 countries.

Zhe WangDepartment of Epidemiology, Human Genetics and Environmental Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Ani ManichukalDepartment of Public Health Sciences, University of Virginia, Charlottesville, VA, 22908, USA.
David C GoffDepartment of Epidemiology, Colorado School of Public Health, Aurora, CO, 80045, USA.
Samia MoraDivisions of Preventive Medicine and Cardiovascular Medicine Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Jose M OrdovasNutrition and Genomics Laboratory, Jean Mayer-US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, 02111, USA.
Nicholas M PajewskiDivision of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.
Wendy S PostDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Jerome I RotterLos Angeles Biomedical Research Institute and Department of Pediatrics, Institute for Translational Genomics and Population Sciences, Harbor-UCLA Medical Center, Torrance, CA, 90502, USA.
Michele M SaleDepartment of Public Health Sciences, University of Virginia, Charlottesville, VA, 22908, USA.
Stephanie A SantoricoDepartment of Mathematical and Statistical Sciences, Human Medical Genetics and Genomics Program, Department of Biostatistics & Informatics, University of Colorado Denver, Denver, CO, 80204, USA.
David SiscovickCardiovascular Health Research Unit, Department of Medicine and Epidemiology, University of Washington, Seattle, WA, 98195, USA.
Michael Y TsaiDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA.
Donna K ArnettCollege of Public Health, University of Kentucky, Lexington, KY, 40508, USA.
Stephen RichDepartment of Public Health Sciences, University of Virginia, Charlottesville, VA, 22908, USA.
Alexis C Frazier-WoodDepartment of Pediatrics, USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, 77030, USA. Lekki.Wood@Gmail.com.
University of Virginia · USChildren's Nutrition Research Center at Baylor College of Medicine · USColorado School of Public Health · USHarvard University · USJohns Hopkins Medicine · USSpanish National Centre for Cardiovascular Research · ESThe Lundquist Institute · USThe University of Texas Health Science Center at Houston · USUniversity of Colorado Denver · USUniversity of Kentucky · USUniversity of Minnesota · USUniversity of Washington · USWake Forest University · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
SUBCLINICAL CARDIOVASCULAR DISEASE COORDINATING CENTERN01HC95159 · NHLBI · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 2007 to 2014
$19.6M
SNP HEALTH ASSOCIATION RESOURCE (SHARE)N02HL64278 · NHLBI · PI CHIN, SIANG · 2007 to 2007
$9.2M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC95160 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL · 2007 to 2015
$7.7M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC95164 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LIU, KIANG · 2007 to 2015
$7.0M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC95161 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SHEA, STEVEN · 2007 to 2014
$6.4M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC95165 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BURKE, GREGORY L · 2007 to 2014
$6.3M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC95163 · NHLBI · UNIVERSITY OF MINNESOTA · PI FOLSOM, AARON R · 2007 to 2014
$6.1M
TITLE: MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA)N01HC95162 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POST, WENDY · 2007 to 2015
$6.0M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR001079NHLBI 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 N01HC95159NHLBI NIH HHS N01HC95160NHLBI NIH HHS N01HC95161NHLBI NIH HHS N01HC95162NHLBI NIH HHS N01HC95163NHLBI NIH HHS N01HC95164NHLBI NIH HHS N01HC95165NHLBI NIH HHS N01HC95166NHLBI NIH HHS N01HC95167NHLBI NIH HHS N01HC95168NHLBI NIH HHS N01HC95169NHLBI NIH HHS N02 HL064278NHLBI NIH HHS N02 HL64278NIDDK NIH HHS P30 DK063491
6 · The paper itself

Abstract

A recent genome-wide association study associated 62 single nucleotide polymorphisms (SNPs) from 43 genomic loci, with fasting lipoprotein subfractions in European-Americans (EAs) at genome-wide levels of significance across three independent samples. Whether these associations are consistent across ethnicities with a non-European ancestry is unknown. We analyzed 15 lipoprotein subfraction measures, on 1677 African-Americans (AAs), 1450 Hispanic-Americans (HAs), and 775 Chinese-Americans (CHN) participating in the multi-ethnic study of atherosclerosis (MESA). Genome-wide data were obtained using the Affymetrix 6.0 and Illumina HumanOmni chips. Linear regression models between genetic variables and lipoprotein subfractions were adjusted for age, gender, body mass index, smoking, study center, and genetic ancestry (based on principal components), and additionally adjusted for Mexican/Non-Mexican status in HAs. A false discovery rate correction was applied separately within the results for each ethnicity to correct for multiple testing. Power calculations revealed that we did not have the power for SNP-based measures of association, so we analyzed phenotype-specific genetic risk scores (GRSs), constructed as in the original genome-wide analysis. We successfully replicated all 15 GRS-lipoprotein associations in 2527 EAs. Among the 15 significant GRS-lipoprotein associations in EAs, 11 were significant in AAs, 13 in HAs, and 1 in CHNs. Further analyses revealed that ethnicity differences could not be explained by differences in linkage disequilibrium, lipid lowering drugs, diabetes, or gender. Our study emphasizes the importance of ethnicity (here indexing genetic ancestry) in genetic risk for CVD and highlights the need to identify ethnicity-specific genetic variants associated with CVD risk.

Indexed as

EthnicityAgedAged, 80 and overAtherosclerosisFemaleHumansLipoproteinsMaleMiddle AgedPolymorphism, Single NucleotideLipoproteins

Identifiers

PMID28352986
PMCPMC5429342
OpenAlexW2602303623

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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.