Evidence map›Paper›PMID 29481666›Full record

ArticleHuman molecular genetics2018

Identification of seven novel loci associated with amino acid levels using single-variant and gene-based tests in 8545 Finnish men from the METSIM study.

Tanya M Teslovich, Daniel Seung Kim, Xianyong Yin, Alena Stancáková, Anne U Jackson, Matthias Wielscher, Adam Naj, John R B Perry, Jeroen R Huyghe, Heather M Stringham and 22 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Human molecular 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 NCT05495074 (Design of a Genetic Score to Predict the Response to a Dietary Intervention in Adults With Metabolic Syndrome), which is not on this map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
3.8field-weighted citation impact, top 6% 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.

NCT05495074 nacompletednot on this mapstarted 2021, after this paper: background citation

Design of a Genetic Score to Predict the Response to a Dietary Intervention in Adults With Metabolic Syndrome

TypeinterventionalSponsorInstituto Nacional de Ciencias Medicas y Nutricion Salvador ZubiranRan2021 to 2024Enrolled115ConditionsMetabolic SyndromeArmsATP III dietary intervention
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026
    Pooled it
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  17. TheInternational journal of molecular sciences · 2022
    Article
  18. Article
  19. Inborn errors of enzymes in glutamate metabolism.Journal of inherited metabolic disease · 2020
    Review
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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

32 authors at 12 institutions in 5 countries.

Tanya M TeslovichDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Daniel Seung KimDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Xianyong YinDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Alena StancákováInstitute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
Anne U JacksonDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Matthias WielscherDepartment of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Adam NajDepartment of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania, PA 19104, USA.
John R B PerryMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
Jeroen R HuygheDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Heather M StringhamDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
James P DavisDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA.
Chelsea K RaulersonDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA.
Ryan P WelchDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Christian FuchsbergerDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Adam E LockeDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Xueling SimDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Peter S ChinesNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Narisu NarisuNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Antti J KangasComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Pasi SoininenComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Genetics of Obesity-Related Liver Disease Consortium (GOLD), The Alzheimer's Disease Genetics Consortium (ADGC), The DIAbetes Genetics Replication And Meta-analysis (DIAGRAM)
Mika Ala-KorpelaComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Vilmundur GudnasonIcelandic Heart Association and the Faculty of Medicine, University of Iceland, Kopavogur, Iceland.
Solomon K MusaniUniversity of Mississippi Medical Center, Jackson, MS 39213, USA.
Marjo-Riitta JarvelinDepartment of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Gerard D SchellenbergDepartment of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania, PA 19104, USA.
Elizabeth K SpeliotesDivision of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Johanna KuusistoInstitute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
Francis S CollinsNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Michael BoehnkeDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Markku LaaksoInstitute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
Karen L MohlkeDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA.
University of Michigan–Ann Arbor · USNational Institutes of Health · USUniversity of North Carolina at Chapel Hill · USImperial College London · GBKuopio University Hospital · FIUniversity of Eastern Finland · FIUniversity of Pennsylvania · USBaker Heart and Diabetes Institute · AUIcelandic Heart Association · ISJackson Memorial Hospital · USUniversity of Cambridge · GBUniversity of Oulu · FI

Funding

Alzheimer's Disease Genetics ConsortiumU01AG032984 · NIA · UNIVERSITY OF PENNSYLVANIA · PI SCHELLENBERG, GERARD DAVID · 2009 to 2024
$60.4M
Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Identifying Genes for Type 2 Diabetes: FUSIONU01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2009 to 2021
$11.6M
Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$11.3M
Genetic epidemiology of rare and regulatory variants for metabolic traitsR01DK093757 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2011 to 2026
$8.2M
Identifying Genes for Type 2 Diabetes:FUSIONR01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2003 to 2025
$6.7M
GENETIC ANALYSIS OF TYPE II DIABETES IN FINNISH POPULATIONZ01HG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI COLLINS, FRANCIS S. · 1995 to 2008
$6.2M
Genetics of cardiovascular risk factors in large founder population birth controlR01HL087679 · NHLBI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HIRSCHHORN, JOEL N · 2007 to 2009
$4.0M
The Genetic Epidemiology of Heart, Lung, and Blood TraitsTraining Grant (GenHLB)T32HL129982 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christy Leigh Avery, KAREN L. MOHLKE · 2016 to 2026
$3.8M
Human population based genetic studies to elucidate the biology of NAFLDR01DK107904 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPELIOTES, ELIZABETH K · 2016 to 2020
$3.4M
Identification and functional impact of NAFLD associated genetic variantsR01DK106621 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPELIOTES, ELIZABETH K · 2015 to 2019
$3.3M
Medical Research Council G0500539Medical Research Council G0600705Medical Research Council G1002319Medical Research Council MC_UU_1201/1Medical Research Council MC_UU_12015/2NHGRI NIH HHS Z01 HG000024NHLBI NIH HHS R01 HL087679NHLBI NIH HHS T32 HL129982NIA NIH HHS U01 AG032984NIDDK NIH HHS P30 DK020572NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R01 DK093757NIDDK NIH HHS R01 DK106621NIDDK NIH HHS R01 DK107904NIDDK NIH HHS U01 DK062370NIDDK NIH HHS U01 DK105561NIGMS NIH HHS T32 GM067553NIMH NIH HHS R01 MH063706NIMH NIH HHS RL1 MH083268
6 · The paper itself

Abstract

Comprehensive metabolite profiling captures many highly heritable traits, including amino acid levels, which are potentially sensitive biomarkers for disease pathogenesis. To better understand the contribution of genetic variation to amino acid levels, we performed single variant and gene-based tests of association between nine serum amino acids (alanine, glutamine, glycine, histidine, isoleucine, leucine, phenylalanine, tyrosine, and valine) and 16.6 million genotyped and imputed variants in 8545 non-diabetic Finnish men from the METabolic Syndrome In Men (METSIM) study with replication in Northern Finland Birth Cohort (NFBC1966). We identified five novel loci associated with amino acid levels (P = < 5×10-8): LOC157273/PPP1R3B with glycine (rs9987289, P = 2.3×10-26); ZFHX3 (chr16:73326579, minor allele frequency (MAF) = 0.42%, P = 3.6×10-9), LIPC (rs10468017, P = 1.5×10-8), and WWOX (rs9937914, P = 3.8×10-8) with alanine; and TRIB1 with tyrosine (rs28601761, P = 8×10-9). Gene-based tests identified two novel genes harboring missense variants of MAF <1% that show aggregate association with amino acid levels: PYCR1 with glycine (Pgene = 1.5×10-6) and BCAT2 with valine (Pgene = 7.4×10-7); neither gene was implicated by single variant association tests. These findings are among the first applications of gene-based tests to identify new loci for amino acid levels. In addition to the seven novel gene associations, we identified five independent signals at established amino acid loci, including two rare variant signals at GLDC (rs138640017, MAF=0.95%, Pconditional = 5.8×10-40) with glycine levels and HAL (rs141635447, MAF = 0.46%, Pconditional = 9.4×10-11) with histidine levels. Examination of all single variant association results in our data revealed a strong inverse relationship between effect size and MAF (Ptrend<0.001). These novel signals provide further insight into the molecular mechanisms of amino acid metabolism and potentially, their perturbations in disease.

Indexed as

Amino AcidsFinlandGene FrequencyGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedAmino Acids

Identifiers

PMID29481666
PMCPMC5905595
OpenAlexW2790635296

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Registered trials

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.