Evidence map›Paper›PMID 28379451›Full record

SynthesisHuman molecular genetics2017

Detection of genetic loci associated with plasma fetuin-A: a meta-analysis of genome-wide association studies from the CHARGE Consortium.

Majken K Jensen, Richard A Jensen, Kenneth J Mukamal, Xiuqing Guo, Jie Yao, Qi Sun, Marilyn Cornelis, Yongmei Liu, Ming-Huei Chen, Jorge R Kizer and 21 more

Open access · bronzeAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Human molecular genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  8. Observational
  9. Review
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

31 authors at 19 institutions in 1 country.

Majken K JensenDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA & Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Richard A JensenCardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA 98101, USA.
Kenneth J MukamalDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
Xiuqing GuoInstitute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
Jie YaoInstitute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
Qi SunDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA & Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Marilyn CornelisDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Yongmei LiuWake Forest University Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Ming-Huei ChenDepartment of Neurology, Boston University School of Medicine, Boston, MA 02118, USA.
Jorge R KizerDepartment of Medicine & Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Luc DjousséDivision of Aging, Brigham and Women's Hospital, Boston, MA 02115, USA, & Boston Veterans Affairs Healthcare System, Boston, MA 02130, USA.
David S SiscovickNew York Academy of Medicine, New York, NY, USA.
Bruce M PsatyCardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA 98101, USA.
Joseph M ZmudaDepartment of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA 15261, USA.
Jerome I RotterInstitute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
Melissa GarciaLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA.
Tamara HarrisLaboratory of Epidemiology and Populations Sciences, National Institute on Aging, Bethesda, MD 20892, USA.
Ida ChenInstitute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
Mark O GoodarziDivision of Endocrinology, Diabetes & Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Michael A NallsLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA.
Margaux KellerLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA.
Alice M ArnoldDepartment of Biostatistics, University of Washington School of Public Health and Community Medicine, Seattle, WA 98195, USA.
Anne B NewmanDepartment of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA 15261, USA.
Ron C HoogeveenDivision of Atherosclerosis & Vascular Medicine, Baylor College of Medicine, Houston, TX 77030, USA.
Kathryn M RexrodeDepartment of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Eric B RimmDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA & Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Frank B HuDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA & Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Vasan S RamachandranSections of Preventive Medicine and Epidemiology, and Cardiology & Department of Medicine, Boston University School of Medicine, Boston, MA 02118, Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA.
Ronit KatzInstitute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
James S PankowDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN 55455, USA.
Joachim H IxNephrology Section, Veterans Affairs San Diego Healthcare System, University of California San Diego, San Diego, CA 92161, USA & Divisions of Nephrology and Preventive Medicine, Department of Medicine, University of California San Diego School of Medicine, San Diego, CA 92161, USA.
Brigham and Women's Hospital · USHarbor–UCLA Medical Center · USUniversity of Washington · USHarvard University · USNational Institute on Aging · USNational Institutes of Health · USUniversity of Pittsburgh · USAlbert Einstein College of Medicine · USBaylor College of Medicine · USBeth Israel Deaconess Medical Center · USBoston University · USCedars-Sinai Medical Center · USFramingham Heart Study · USMinnesota Department of Health · USNew York Academy of Medicine · USNorthwestern University · USThe Lundquist Institute · USVA San Diego Healthcare System · USWake Forest University · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
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
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SPIEGELMAN, DONNA L · 1991 to 2009
$41.8M
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
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
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Dietary Etiology of Heart DiseaseR01HL035464 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ERIC B RIMM, Qi Sun · 1986 to 2026
$13.6M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Intramural NIH HHS Z01 AG000932NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR001079NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS R01 CA049449NCI NIH HHS U01 CA049449NCI NIH HHS U01 CA167552NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA186107NCRR NIH HHS UL1 RR025005NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004402NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI 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 N02 HL064278NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL035464NHLBI NIH HHS R01 HL080295NHLBI NIH HHS R01 HL085251NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL088521NHLBI NIH HHS R01 HL094555NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R21 HL091217NHLBI NIH HHS U01 HL080295NIA NIH HHS N01 AG062101NIA NIH HHS N01 AG062103NIA NIH HHS N01 AG062106NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG032098NIA NIH HHS R56 AG023629NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK056918
6 · The paper itself

Abstract

Plasma fetuin-A is associated with type 2 diabetes, and AHSG, the gene encoding fetuin-A, has been identified as a susceptibility locus for diabetes and metabolic syndrome. Thus far, unbiased investigations of the genetic determinants of plasma fetuin-A concentrations have not been conducted. We searched for single nucleotide polymorphisms (SNPs) related to fetuin-A concentrations by a genome-wide association study in six population-based studies. We examined the association of fetuin-A levels with ∼ 2.5 million genotyped and imputed SNPs in 9,055 participants of European descent and 2,119 African Americans. In both ethnicities, the strongest associations were centered in a region with a high degree of LD near the AHSG locus. Among 136 genome-wide significant (P < 0.05 × 10-8) SNPs near the AHSG locus, the top SNP was rs4917 (P =1.27 × 10-303), a known coding SNP in exon 6 that is associated with a 0.06 g/l (∼13%) lower fetuin-A level. This variant alone explained 14% of the variation in fetuin-A levels. Analyses conditioned on rs4917 indicated that the strong association with the AHSG locus stems from additional independent associations of multiple variants among European Americans. In conclusion, levels of fetuin-A in plasma are strongly associated with SNPs in its encoding gene, AHSG, but not elsewhere in the genome. Given the strength of the associations observed for multiple independent SNPs, the AHSG gene is an example of a candidate locus suitable for additional investigations including fine mapping to elucidate the biological basis of the findings and further functional experiments to clarify AHSG as a potential therapeutic target.

Indexed as

AdultAgedalpha-2-HS-GlycoproteinBlack or African AmericanDiabetes Mellitus, Type 2FemaleGenetic LociGenome-Wide Association StudyGenotypeHumansMaleMetabolic SyndromeMiddle AgedPolymorphism, Single NucleotideWhite PeopleAHSG protein, humanalpha-2-HS-Glycoprotein

Identifiers

PMID28379451
PMCPMC6075215
OpenAlexW2604405910

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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.