Evidence map›Paper›PMID 28073764›Full record

ArticleAmerican journal of epidemiology2017

Causal Effect of Genetic Variants Associated With Body Mass Index on Multiple Sclerosis Susceptibility.

Milena A Gianfrancesco, M Maria Glymour, Stefan Walter, Brooke Rhead, Xiaorong Shao, Ling Shen, Hong Quach, Alan Hubbard, Ingileif Jónsdóttir, Kári Stefánsson and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
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  8. Article
  9. Article
  10. The role of mGenes & diseases · 2024
    Review
  11. Article
  12. Article
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  15. Article
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  17. Article
  18. Review
  19. Risk Factors from Pregnancy to Adulthood in Multiple Sclerosis Outcome.International journal of molecular sciences · 2022
    Review
  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

18 authors at 10 institutions in 6 countries.

Milena A GianfrancescoGenetic Epidemiology and Genomics Lab, Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
M Maria GlymourDepartment of Epidemiology and Biostatistics, University of California, San Francisco, USA.
Stefan WalterInstitute of Clinical and Experimental Medicine, Division of Gastroenterology, Linköping University, Linköping, Sweden.
Brooke RheadComputational Biology Graduate Group, University of California, Berkeley, CA, USA.
Xiaorong ShaoCentre for Reproductive Medicine, Dalian Maternal and Children's Centre, Dalian, China.
Ling ShenCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Jiangsu Key Laboratory of Agricultural Meteorology, Department of Agricultural Resource and Environment, College of Applied Meteorology, University of Information Science and Technology, Nanjing, 210044, China.
Hong QuachHuman Evolutionary Genetics, Institut Pasteur, 75015 Paris, France.
Alan HubbardInstitute of Pharmaceutical Science, King's College London, London, UK; Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK.
Ingileif JónsdóttirdeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
Kári StefánssondeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
Pernilla Strid
Jan HillertDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Anna HedströmInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
Tomas OlssonDepartment of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Ingrid KockumDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden/Department of Neurology, Karolinska University Hospital Solna, Stockholm, Sweden.
Catherine SchaeferDepartment of Soil Science, Federal University of Viçosa, Viçosa, MG, Brazil.
Lars AlfredssonCentre for Occupational and Environmental Medicine, Stockholm County Council, Sweden.
Lisa F BarcellosDivision of Epidemiology, School of Public Health, University of California, 324 Stanley Hall, Berkeley, CA, USA.
Karolinska Institutet · SEdeCODE Genetics (Iceland) · ISUniversity of California, Berkeley · USDalian Maternal and Child Health Hospital · CNInstitut Pasteur · FRLinköping University · SEStockholm County Council · SEUmeå University · SEUniversidade Federal de Viçosa · BRUniversity of California, San Francisco · US

Funding

A Resource for Genetic Epidemiology Research in Adult Health and AgingRC2AG036607 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI RISCH, NEIL J., SCHAEFER, CATHERINE ANN · 2009 to 2010
$24.8M
GENOMICST32HG000047 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI RASMUS NIELSEN, Daniel Soleyman Rokhsar · 2000 to 2026
$13.5M
The Identification of Risk Factors for the Complex MS PhenotypeR01AI076544 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARCELLOS, LISA F · 2008 to 2012
$3.6M
Genetic and non-genetic risk factors in MSR01NS049510 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARCELLOS, LISA F · 2005 to 2009
$2.7M
Establishing the Causal Role of Low Vitamin D in Multiple SclerosisF31NS096885 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RHEAD, BROOKE · 2016 to 2019
$125k
Direct and indirect effects of obesity genes on multiple sclerosisF31NS093832 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI GIANFRANCESCO, MILENA ANNE · 2015 to 2015
$37k
NHGRI NIH HHS T32 HG000047NIAID NIH HHS R01 AI076544NIA NIH HHS RC2 AG036607NINDS NIH HHS F31 NS093832NINDS NIH HHS F31 NS096885NINDS NIH HHS R01 NS049510
6 · The paper itself

Abstract

Multiple sclerosis (MS) is an autoimmune disease with both genetic and environmental risk factors. Recent studies indicate that childhood and adolescent obesity double the risk of MS, but this association may reflect unmeasured confounders rather than causal effects of obesity. We used separate-sample Mendelian randomization to estimate the causal effect of body mass index (BMI) on susceptibility to MS. Using data from non-Hispanic white members of the Kaiser Permanente Medical Care Plan of Northern California (KPNC) (2006-2014; 1,104 cases of MS and 10,536 controls) and a replication data set from Sweden (the Epidemiological Investigation of MS (EIMS) and the Genes and Environment in MS (GEMS) studies, 2005-2013; 5,133 MS cases and 4,718 controls), we constructed a weighted genetic risk score using 97 variants previously established to predict BMI. Results were adjusted for birth year, sex, education, smoking status, ancestry, and genetic predictors of MS. Estimates in KPNC and Swedish data sets suggested that higher genetically induced BMI predicted greater susceptibility to MS (odds ratio = 1.13, 95% confidence interval: 1.04, 1.22 for the KPNC sample; odds ratio = 1.09, 95% confidence interval: 1.03, 1.15 for the Swedish sample). Although the mechanism remains unclear, to our knowledge, these findings support a causal effect of increased BMI on susceptibility to MS for the first time, and they suggest a role for inflammatory pathways that characterize both obesity and the MS disease process.

Indexed as

Body Mass IndexGenetic Predisposition to DiseaseAdultCase-Control StudiesFemaleGenetic VariationHumansMaleMendelian Randomization AnalysisMiddle AgedMultiple Sclerosisbody mass indexgenetic instrumental variablesMendelian randomizationmultiple sclerosisobesity

Identifiers

PMID28073764
PMCPMC5391720
OpenAlexW2568117326

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.