Evidence map›Paper›PMID 24530769›Full record

ArticleAtherosclerosis2014

Association between serum fatty acids and lipoprotein subclass profile in healthy young adults: exploring common genetic and environmental factors.

Aline Jelenkovic, Leonie H Bogl, Richard J Rose, Antti J Kangas, Pasi Soininen, Mika Ala-Korpela, Jaakko Kaprio, Karri Silventoinen

Open access · greenAbstract readTwin Study
In one paragraph

Article in Atherosclerosis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. FinnTwin12 Cohort: An Updated Review.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2019
    Review
  6. Article
  7. Article
  8. 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

8 authors at 6 institutions in 3 countries.

Aline JelenkovicDepartment of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa 48940, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao 48011, Spain; Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki 00014, Finland. Electronic address: aline.jelenkovic@helsinki.fi.
Leonie H BoglDepartment of Public Health, Hjelt Institute, University of Helsinki, Helsinki 00014, Finland.
Richard J RoseDepartment of Psychological and Brain Sciences, Indiana University, Bloomington 47405, USA.
Antti J KangasComputational Medicine, Institute of Health Sciences, Faculty of Medicine, University of Oulu, 90014, Finland.
Pasi SoininenComputational Medicine, Institute of Health Sciences, Faculty of Medicine, University of Oulu, 90014, Finland; NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio 70211, Finland.
Mika Ala-KorpelaComputational Medicine, Institute of Health Sciences, Faculty of Medicine, University of Oulu, 90014, Finland; NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio 70211, Finland; Oulu University Hospital, Oulu, Finland; Computational Medicine, School of Social and Community Medicine and the Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.
Jaakko KaprioDepartment of Public Health, Hjelt Institute, University of Helsinki, Helsinki 00014, Finland; Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki 00271, Finland; Institute for Molecular Medicine FIMM, Helsinki 00014, Finland.
Karri SilventoinenDepartment of Public Health, Hjelt Institute, University of Helsinki, Helsinki 00014, Finland; Population Research Unit, Department of Social Research, University of Helsinki, Helsinki 00014, Finland.
University of Eastern Finland · FIUniversity of Helsinki · FIIkerbasque · ESIndiana University Bloomington · USNational Institutes of Health · USUniversity of Oulu · FI

Funding

ADOLESCENT ALCOHOL ABUSE: A TWIN-STUDY PERSPECTIVER37AA012502 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI ROSE, RICHARD JOSEPH · 2000 to 2009
$2.9M
Adolescent Alcohol Abuse: A Twin-Study PerspectiveR01AA012502 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI ROSE, RICHARD JOSEPH · 2013 to 2017
$1.2M
USE &ABUSE OF ALCOHOL--A BEHAVIOR-GENETICS PERSPECTIVEK05AA000145 · NIAAA · INDIANA UNIVERSITY BLOOMINGTON · PI ROSE, RICHARD JOSEPH · 1992 to 1996
–
LONGITUDINAL TWIN-FAMILY STUDIES: USE &ABUSE OF ALCOHOLR01AA008315 · NIAAA · INDIANA UNIVERSITY BLOOMINGTON · PI ROSE, RICHARD JOSEPH · 1990 to 1994
–
BEHAVIORAL PRECURSORS OF ALCOHOLISM--TWIN FAMILY STUDIESR01AA009203 · NIAAA · INDIANA UNIVERSITY BLOOMINGTON · PI ROSE, RICHARD JOSEPH · 1994 to 1998
–
Medical Research Council MC_UU_12013/1NIAAA NIH HHS AA00145NIAAA NIH HHS AA08315NIAAA NIH HHS AA09203NIAAA NIH HHS AA12502NIAAA NIH HHS K05 AA000145NIAAA NIH HHS R01 AA009203NIAAA NIH HHS R01 AA012502NIAAA NIH HHS R37 AA012502
6 · The paper itself

Abstract

objectiveLittle is known about the associations of serum fatty acids with lipoprotein profile and the underlying genetic and environmental etiology of these relationships. We aimed to analyze the phenotypic association of serum n-6 and n-3 polyunsaturated (PUFAs), monounsaturated (MUFAs) and saturated (SFAs) fatty acids (relative proportion to total fatty acids) with lipids and lipoproteins, and to quantify common genetic and environmental factors determining their covariation.

methodsTwo cohorts of healthy Finnish twins were assessed in young adulthood. Data were available for 1269 individual twins including 561 complete pairs. Serum metabolites were measured by nuclear magnetic resonance spectroscopy. Bivariate quantitative genetic models were used to decompose the phenotypic covariance between the pairs of traits into genetic and environmental components.

resultsAmong the strongest correlations observed, serum total n-6 PUFAs and linoleic acid were inversely (max. r=-0.65) and MUFAs positively (max. r=0.63) correlated with triglycerides and very low-density lipoprotein (VLDL) particle concentration, particularly with large VLDL (for n-6 PUFAs) and medium VLDL (for MUFAs). Genetic factors significantly contributed to their covariance with bivariate heritability estimates ranging from 44% to 56% for n-6 PUFAs and 58% to 66% for MUFAs. Genetic correlations with lipid traits were moderate to high (max. rA=-0.59 and 0.70 for n-6 PUFAs and MUFAs, respectively). Statistically significant, but substantially weaker phenotypic correlations of total n-3 PUFAs, docosahexaenoic acid (DHA) and SFAs with lipoprotein profile were not decomposed into their genetic and environmental components.

conclusionShared genetic factors are important in explaining why higher concentrations of serum n-6 PUFAs and lower concentrations of serum MUFAs strongly associate with lower triglyceride and VLDL particle concentrations.

Indexed as

Gene-Environment InteractionAdolescentBody Mass IndexCholesterolCross-Sectional StudiesDietary FatsFatty AcidsFinlandFollow-Up StudiesGenetic PleiotropyHumansLipoproteinsNuclear Magnetic Resonance, BiomolecularParticle SizePhenotypeReference ValuesCholesterolDietary FatsFatty AcidsLipoproteinsTriglyceridesEnvironmental factorsGenetic pleiotropyLipoprotein profileSerum fatty acidsTwins

Identifiers

PMID24530769
PMCPMC4826157
OpenAlexW1981604952

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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.