Evidence map›Paper›PMID 31978080›Full record

ArticlePLoS genetics2020

The derived allele of a novel intergenic variant at chromosome 11 associates with lower body mass index and a favorable metabolic phenotype in Greenlanders.

Mette K Andersen, Emil Jørsboe, Line Skotte, Kristian Hanghøj, Camilla H Sandholt, Ida Moltke, Niels Grarup, Timo Kern, Yuvaraj Mahendran, Bolette Søborg and 14 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Genetics and epigenetics in the obesity phenotyping scenario.Reviews in endocrine & metabolic disorders · 2023
    Review
  4. AnHGG advances · 2022
    Article
  5. 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

24 authors at 7 institutions in 3 countries.

Mette K AndersenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-8227-1469
Emil JørsboeThe Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-0593-7906
Line SkotteDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Kristian HanghøjThe Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-1941-5495
Camilla H SandholtNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Ida MoltkeThe Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
Niels GrarupNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-5526-1070
Timo KernNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-7139-9766
Yuvaraj MahendranNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Bolette SøborgDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Peter BjerregaardNational Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
Christina V L LarsenNational Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
Inger K Dahl-PetersenNational Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
Hemant K TiwariDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Bjarke FeenstraDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0003-1478-649X
Anders KochDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Howard W WienerDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Scarlett E HopkinsDepartment of Obstetrics and Gynecology, Center for Developmental Health, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon, United States of America.
Oluf PedersenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Mads MelbyeDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0001-8264-6785
Bert B BoyerDepartment of Obstetrics and Gynecology, Center for Developmental Health, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon, United States of America.
Marit E JørgensenNational Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
Anders AlbrechtsenThe Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-7306-031X
Torben HansenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-8748-3831
University of Copenhagen · DKStatens Serum Institut · DKUniversity of Alabama at Birmingham · USUniversity of Alaska Fairbanks · USUniversity of Southern Denmark · DKIlisimatusarfik · GLSteno Diabetes Centers · DK

Funding

University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
Pilot Project ProgramP30GM103325 · NIGMS · UNIVERSITY OF ALASKA FAIRBANKS · PI O'BRIEN, DIANE MARIE · 2012 to 2016
$5.3M
Genetics of Obesity in Yup'ik EskimosR01DK074842 · NIDDK · UNIVERSITY OF ALASKA FAIRBANKS · PI BOYER, BERT BRANDON · 2007 to 2011
$2.8M
EPIGENOME MODIFICATION BY A DIETARY PATTERN RICH IN POLYUNSATURATED FATTY ACIDSR01DK104347 · NIDDK · UNIVERSITY OF ALASKA FAIRBANKS · PI ABSHER, DEVIN MICHAEL, BOYER, BERT BRANDON · 2016 to 2019
$2.5M
Epigenome modification by a dietary pattern rich in polyunsaturated fatty acidsR01DK112358 · NIDDK · UNIVERSITY OF ALASKA FAIRBANKS · PI ABSHER, DEVIN MICHAEL, BOYER, BERT BRANDON · 2017 to 2020
$575k
NIDDK NIH HHS P30 DK079626NIDDK NIH HHS R01 DK074842NIDDK NIH HHS R01 DK104347NIDDK NIH HHS R01 DK112358NIGMS NIH HHS P30 GM103325
6 · The paper itself

Abstract

The genetic architecture of the small and isolated Greenlandic population is advantageous for identification of novel genetic variants associated with cardio-metabolic traits. We aimed to identify genetic loci associated with body mass index (BMI), to expand the knowledge of the genetic and biological mechanisms underlying obesity. Stage 1 BMI-association analyses were performed in 4,626 Greenlanders. Stage 2 replication and meta-analysis were performed in additional cohorts comprising 1,058 Yup'ik Alaska Native people, and 1,529 Greenlanders. Obesity-related traits were assessed in the stage 1 study population. We identified a common variant on chromosome 11, rs4936356, where the derived G-allele had a frequency of 24% in the stage 1 study population. The derived allele was genome-wide significantly associated with lower BMI (beta (SE), -0.14 SD (0.03), p = 3.2x10-8), corresponding to 0.64 kg/m2 lower BMI per G allele in the stage 1 study population. We observed a similar effect in the Yup'ik cohort (-0.09 SD, p = 0.038), and a non-significant effect in the same direction in the independent Greenlandic stage 2 cohort (-0.03 SD, p = 0.514). The association remained genome-wide significant in meta-analysis of the Arctic cohorts (-0.10 SD (0.02), p = 4.7x10-8). Moreover, the variant was associated with a leaner body type (weight, -1.68 (0.37) kg; waist circumference, -1.52 (0.33) cm; hip circumference, -0.85 (0.24) cm; lean mass, -0.84 (0.19) kg; fat mass and percent, -1.66 (0.33) kg and -1.39 (0.27) %; visceral adipose tissue, -0.30 (0.07) cm; subcutaneous adipose tissue, -0.16 (0.05) cm, all p<0.0002), lower insulin resistance (HOMA-IR, -0.12 (0.04), p = 0.00021), and favorable lipid levels (triglyceride, -0.05 (0.02) mmol/l, p = 0.025; HDL-cholesterol, 0.04 (0.01) mmol/l, p = 0.0015). In conclusion, we identified a novel variant, where the derived G-allele possibly associated with lower BMI in Arctic populations, and as a consequence also leaner body type, lower insulin resistance, and a favorable lipid profile.

Indexed as

Body Mass IndexPolymorphism, Single NucleotideAdiposityCholesterolChromosomes, Human, Pair 11DNA, IntergenicFemaleGreenlandHumansInsulin ResistanceInuitMaleMetabolomeWaist CircumferenceCholesterolDNA, Intergenic

Identifiers

PMID31978080
PMCPMC7001991
OpenAlexW3002247546

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.