Evidence map›Paper›PMID 29738550›Full record

SynthesisPloS one2018

Genome-wide association meta-analysis of circulating odd-numbered chain saturated fatty acids: Results from the CHARGE Consortium.

Marcia C de Oliveira Otto, Rozenn N Lemaitre, Qi Sun, Irena B King, Jason H Y Wu, Ani Manichaikul, Stephen S Rich, Michael Y Tsai, Y D Chen, Myriam Fornage and 16 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 pooled it
5.1field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026
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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

26 authors at 14 institutions in 3 countries.

Marcia C de Oliveira OttoDivision of Epidemiology, Human Genetics and Environmental Sciences, the University of Texas Health Science Center, School of Public Health, Houston, TX, United States of America.ORCID 0000-0002-4585-0688
Rozenn N LemaitreCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States of America.
Qi SunDepartment of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health and Channing Division of Network Medicine, and Harvard Medical School, Boston, MA, United States of America.
Irena B KingUniversity of New Mexico, Albuquerque, NM, United States of America.
Jason H Y WuThe George Institute for Global Health and the Faculty of Medicine, University of New South Wales, Sydney, Australia.
Ani ManichaikulCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, United States of America.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, United States of America.
Michael Y TsaiDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States of America.
Y D ChenInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor, UCLA Medical Center, Torrance, CA, United States of America.
Myriam FornageKey Laboratory of Nutrition and Metabolism, the University of Texas Health Science Center, School of Public Health, Houston, TX, United States of America.
Guan WeihuaDepartment of Biostatistics, University of Minnesota, Minneapolis, MN, United States of America.
Stella AslibekyanCollege of Public Health, University of Kentucky, Lexington, KY, United States of America.
Marguerite R IrvinCollege of Public Health, University of Kentucky, Lexington, KY, United States of America.
Edmond K KabagambeCollege of Public Health, University of Kentucky, Lexington, KY, United States of America.
Donna K ArnettCollege of Public Health, University of Kentucky, Lexington, KY, United States of America.
Majken K JensenBrigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America.
Barbara McKnightDepartment of Biostatistics, University of Washington, Seattle, WA, United States of America.
Bruce M PsatyCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States of America.
Lyn M SteffenSchool of Public Health, Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America.
Caren E SmithNutrition and Genomics Laboratory, Jean Mayer USDA HNRCA at Tufts University, Boston, MA, United States of America.
Ulf RisérusDepartment of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.
Lars LindDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Frank B HuDepartment of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health and Channing Division of Network Medicine, and Harvard Medical School, Boston, MA, United States of America.
Eric B RimmDepartment of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health and Channing Division of Network Medicine, and Harvard Medical School, Boston, MA, United States of America.
David S SiscovickThe New York Academy of Medicine, New York, NY, United States of America.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States of America.
Brigham and Women's Hospital · USUniversity of Kentucky · USUniversity of Minnesota · USTufts University · USUniversity of Virginia · USUniversity of Washington · USUppsala University · SEKaiser Permanente Washington Health Research Institute · USNew York Academy of Medicine · USThe Lundquist Institute · USThe University of Texas Health Science Center · USThe University of Texas Health Science Center at Houston · USUniversity of New Mexico · USUNSW Sydney · AU

Funding

Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Genetic and Environmental Determinants of TriglyceridesU01HL072524 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 2002 to 2008
$11.9M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
TMAO and Initiation, Extent, and Clinical Onset of Atherosclerotic CVDR01HL135920 · NHLBI · TUFTS UNIVERSITY BOSTON · PI Stanley L Hazen, DARIUSH MOZAFFARIAN · 2017 to 2026
$8.7M
Cost-Effectiveness of Health System and State-Level Strategies to Improve Diet and Reduce Cardiometabolic DiseasesR01HL115189 · NHLBI · TUFTS UNIVERSITY BOSTON · PI DARIUSH MOZAFFARIAN · 2013 to 2026
$8.2M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
Rare variants and NHLBI traits in deeply phenotyped cohortsU01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2017 to 2018
$5.6M
Fatty Acids and Major Cardiovascular OutcomesR01HL085710 · NHLBI · TUFTS UNIVERSITY BOSTON · PI MOZAFFARIAN, DARIUSH · 2006 to 2016
$5.1M
Economic Analyses of Policy Strategies to Improve Diet and Reduce CVDR01HL130735 · NHLBI · TUFTS UNIVERSITY BOSTON · PI MICHA, EIRINI (RENATA) · 2016 to 2019
$3.1M
GWAS of longitudinal blood pressure profiles from young adulthood to middle-ageU01HG004729 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FORNAGE, MYRIAM · 2008 to 2009
$1.1M
Novel Adipokines and Coronary Heart Disease in U.S. Men and Women with DiabetesR00HL098459 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SUN, QI · 2012 to 2014
$729k
NCI NIH HHS UM1 CA186107NHGRI NIH HHS U01 HG004729NHLBI NIH HHS HHSN268201300025CNHLBI NIH HHS HHSN268201300026CNHLBI NIH HHS K01 HL136700NHLBI NIH HHS K08 HL112845NHLBI NIH HHS N02 HL064278NHLBI NIH HHS R00 HL098459NHLBI NIH HHS R01 HL085710NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL115189NHLBI NIH HHS R01 HL120393NHLBI NIH HHS R01 HL130735NHLBI NIH HHS R01 HL135920NHLBI NIH HHS U01 HL072524NHLBI NIH HHS U01 HL120393NHLBI NIH HHS U01 HL130114NIH HHS 3R01HL085710-07S1NIH HHS CA186107NIH HHS HL105756NIH HHS HL136700NIH HHS K08 HL112845NIH HHS N02-HL-64278NIH HHS R00-HL098459NIH HHS R01HL085710NIH HHS R01HL115189NIH HHS R01HL130735NIH HHS R01HL135920NIH HHS U01-HG004729NIH HHS U01-HL072524
6 · The paper itself

Abstract

backgroundOdd-numbered chain saturated fatty acids (OCSFA) have been associated with potential health benefits. Although some OCSFA (e.g., C15:0 and C17:0) are found in meats and dairy products, sources and metabolism of C19:0 and C23:0 are relatively unknown, and the influence of non-dietary determinants, including genetic factors, on circulating levels of OCSFA is not established.

objectiveTo elucidate the biological processes that influence circulating levels of OCSFA by investigating associations between genetic variation and OCSFA.

designWe performed a meta-analysis of genome-wide association studies (GWAS) of plasma phospholipid/erythrocyte levels of C15:0, C17:0, C19:0, and C23:0 among 11,494 individuals of European descent. We also investigated relationships between specific single nucleotide polymorphisms (SNPs) in the lactase (LCT) gene, associated with adult-onset lactase intolerance, with circulating levels of dairy-derived OCSFA, and evaluated associations of candidate sphingolipid genes with C23:0 levels.

resultsWe found no genome-wide significant evidence that common genetic variation is associated with circulating levels of C15:0 or C23:0. In two cohorts with available data, we identified one intronic SNP (rs13361131) in myosin X gene (MYO10) associated with C17:0 level (P = 1.37×10-8), and two intronic SNP (rs12874278 and rs17363566) in deleted in lymphocytic leukemia 1 (DLEU1) region associated with C19:0 level (P = 7.07×10-9). In contrast, when using a candidate-gene approach, we found evidence that three SNPs in LCT (rs11884924, rs16832067, and rs3816088) are associated with circulating C17:0 level (adjusted P = 4×10-2). In addition, nine SNPs in the ceramide synthase 4 (CERS4) region were associated with circulating C23:0 levels (adjusted P<5×10-2).

conclusionsOur findings suggest that circulating levels of OCSFA may be predominantly influenced by non-genetic factors. SNPs associated with C17:0 level in the LCT gene may reflect genetic influence in dairy consumption or in metabolism of dairy foods. SNPs associated with C23:0 may reflect a role of genetic factors in the synthesis of sphingomyelin.

Indexed as

Fatty AcidsGenome-Wide Association StudyHumansIntronsLactaseMyosinsPolymorphism, Single NucleotideRNA, Long NoncodingSphingomyelinsSphingosine N-AcyltransferaseTumor Suppressor ProteinsCERS4 protein, humanDLEU1 lncRNA, humanFatty AcidsLactaseMYO10 protein, humanMyosinsRNA, Long NoncodingSphingomyelinsSphingosine N-AcyltransferaseTumor Suppressor Proteins

Identifiers

PMID29738550
PMCPMC5940220
OpenAlexW2802978918

What OpenQuestion holds

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LicenceCC BY
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.