Evidence map›Paper›PMID 26637976›Full record

ArticleAmerican journal of human genetics2015

Multiple Hepatic Regulatory Variants at the GALNT2 GWAS Locus Associated with High-Density Lipoprotein Cholesterol.

Tamara S Roman, Amanda F Marvelle, Marie P Fogarty, Swarooparani Vadlamudi, Arlene J Gonzalez, Martin L Buchkovich, Jeroen R Huyghe, Christian Fuchsberger, Anne U Jackson, Ying Wu and 12 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Apolipoprotein-CIIIInternational journal of molecular sciences · 2023
    Article
  10. Article
  11. Role of GALNT2 on Insulin Sensitivity, Lipid Metabolism and Fat Homeostasis.International journal of molecular sciences · 2022
    Review
  12. Article
  13. PolypeptideMolecules (Basel, Switzerland) · 2021
    Review
  14. Review
  15. Review
  16. Article
  17. Global view of human protein glycosylation pathways and functions.Nature reviews. Molecular cell biology · 2020
    Review
  18. Article
  19. Article
  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

22 authors at 8 institutions in 3 countries.

Tamara S RomanDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Amanda F MarvelleDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Marie P FogartyDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Swarooparani VadlamudiDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Arlene J GonzalezDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Martin L BuchkovichDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Jeroen R HuygheDepartment of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Christian FuchsbergerDepartment of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Anne U JacksonDepartment of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Ying WuDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Mete CivelekDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Biomedical Engineering, Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA.
Aldons J LusisDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Deparment of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Kyle J GaultonDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
Praveen SethupathyDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Antti J KangasComputational Medicine, Institute of Health Sciences, University of Oulu, 90014 Oulu, Finland.
Pasi SoininenComputational Medicine, Institute of Health Sciences, University of Oulu, 90014 Oulu, Finland; Nuclear Magnetic Resonance Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, 70211 Kuopio, Finland.
Mika Ala-KorpelaComputational Medicine, Institute of Health Sciences, University of Oulu, 90014 Oulu, Finland; Nuclear Magnetic Resonance Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, 70211 Kuopio, Finland; Oulu University Hospital, 90220 Oulu, Finland; Computational Medicine, School of Social and Community Medicine and Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.
Johanna KuusistoDepartment of Medicine, University of Eastern Finland and Kuopio University Hospital, 70210 Kuopio, Finland.
Francis S CollinsNational Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Markku LaaksoDepartment of Medicine, University of Eastern Finland and Kuopio University Hospital, 70210 Kuopio, Finland.
Michael BoehnkeDepartment of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Karen L MohlkeDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Electronic address: mohlke@med.unc.edu.
University of North Carolina at Chapel Hill · USUniversity of Michigan–Ann Arbor · USUniversity of Eastern Finland · FIUniversity of Oulu · FINational Human Genome Research Institute · USUniversity of Bristol · GBUniversity of California, Los Angeles · USUniversity of Virginia · US

Funding

Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PAJUKANTA, PAIVI · 1985 to 2019
$50.2M
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
Pre-doctoral Training Program in Integrative Vascular BiologyT32HL069768 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christopher P. Mack · 2002 to 2026
$9.7M
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
NRSA IN GENETICST32GM007092 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SEKELSKY, JEFF J. · 1985 to 2019
$5.9M
Systems Genetics Dissection of Non-alcoholic SteatohepatitisR01DK117850 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Aldons Jake Lusis · 2019 to 2026
$4.6M
UNC Predoc Training Progr in Bioinformatics/Comp BiologyT32GM067553 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELSTON, TIMOTHY C · 2005 to 2019
$2.5M
Intramural NIH HHS Z01 HG000024Medical Research Council MC_UU_12013/1NHGRI NIH HHS Z01HG000024NHLBI NIH HHS K99 HL121172NHLBI NIH HHS K99HL121172NHLBI NIH HHS P01 HL028481NHLBI NIH HHS P01HL28481NHLBI NIH HHS R00 HL121172NHLBI NIH HHS T32 HL069768NHLBI NIH HHS T32HL069768NIDA NIH HHS R21 DA027040NIDA NIH HHS R21DA027040NIDDK NIH HHS P30 DK020572NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R01DK062370NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R01DK072193NIDDK NIH HHS R01 DK093757NIDDK NIH HHS R01DK093757NIDDK NIH HHS R01 DK117850NIDDK NIH HHS U01 DK062370NIGMS NIH HHS T32 GM007092NIGMS NIH HHS T32GM007092NIGMS NIH HHS T32 GM067553NIGMS NIH HHS T32GM067553Wellcome Trust
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have identified more than 150 loci associated with blood lipid and cholesterol levels; however, the functional and molecular mechanisms for many associations are unknown. We examined the functional regulatory effects of candidate variants at the GALNT2 locus associated with high-density lipoprotein cholesterol (HDL-C). Fine-mapping and conditional analyses in the METSIM study identified a single locus harboring 25 noncoding variants (r(2) > 0.7 with the lead GWAS variants) strongly associated with total cholesterol in medium-sized HDL (e.g., rs17315646, p = 3.5 × 10(-12)). We used luciferase reporter assays in HepG2 cells to test all 25 variants for allelic differences in regulatory enhancer activity. rs2281721 showed allelic differences in transcriptional activity (75-fold [T] versus 27-fold [C] more than the empty-vector control), as did a separate 780-bp segment containing rs4846913, rs2144300, and rs6143660 (49-fold [AT(-) haplotype] versus 16-fold [CC(+) haplotype] more). Using electrophoretic mobility shift assays, we observed differential CEBPB binding to rs4846913, and we confirmed this binding in a native chromatin context by performing chromatin-immunoprecipitation (ChIP) assays in HepG2 and Huh-7 cell lines of differing genotypes. Additionally, sequence reads in HepG2 DNase-I-hypersensitivity and CEBPB ChIP-seq signals spanning rs4846913 showed significant allelic imbalance. Allelic-expression-imbalance assays performed with RNA from primary human hepatocyte samples and expression-quantitative-trait-locus (eQTL) data in human subcutaneous adipose tissue samples confirmed that alleles associated with increased HDL-C are associated with a modest increase in GALNT2 expression. Together, these data suggest that at least rs4846913 and rs2281721 play key roles in influencing GALNT2 expression at this HDL-C locus.

Indexed as

Genome, HumanQuantitative Trait LociAdipose TissueAllelesCCAAT-Enhancer-Binding Protein-betaCholesterol, HDLChromatinChromatin ImmunoprecipitationChromosome MappingElectrophoretic Mobility Shift AssayGene FrequencyGenes, ReporterGenome-Wide Association StudyHaplotypesHep G2 CellsHumansCCAAT-Enhancer-Binding Protein-betaCEBPB protein, humanCholesterol, HDLChromatinLuciferasesN-AcetylgalactosaminyltransferasesPolypeptide N-acetylgalactosaminyltransferase

Identifiers

PMID26637976
PMCPMC4678431
OpenAlexW2189622420

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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.