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October 2016; 2 (5) ArticleOpen Access

Mendelian randomization shows a causal effect of low vitamin D on multiple sclerosis risk

Brooke Rhead, Maria Bäärnhielm, Milena Gianfrancesco, Amanda Mok, Xiaorong Shao, Hong Quach, Ling Shen, Catherine Schaefer, Jenny Link, Alexandra Gyllenberg, Anna Karin Hedström, Tomas Olsson, Jan Hillert, Ingrid Kockum, M. Maria Glymour, Lars Alfredsson, Lisa F. Barcellos
First published September 13, 2016, DOI: https://doi.org/10.1212/NXG.0000000000000097
Brooke Rhead
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Maria Bäärnhielm
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Milena Gianfrancesco
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Amanda Mok
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Xiaorong Shao
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Hong Quach
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Ling Shen
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Catherine Schaefer
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Jenny Link
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Alexandra Gyllenberg
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Anna Karin Hedström
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Tomas Olsson
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Jan Hillert
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Ingrid Kockum
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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M. Maria Glymour
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Lars Alfredsson
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Lisa F. Barcellos
From the Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden.
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Citation
Mendelian randomization shows a causal effect of low vitamin D on multiple sclerosis risk
Brooke Rhead, Maria Bäärnhielm, Milena Gianfrancesco, Amanda Mok, Xiaorong Shao, Hong Quach, Ling Shen, Catherine Schaefer, Jenny Link, Alexandra Gyllenberg, Anna Karin Hedström, Tomas Olsson, Jan Hillert, Ingrid Kockum, M. Maria Glymour, Lars Alfredsson, Lisa F. Barcellos
Neurol Genet Oct 2016, 2 (5) e97; DOI: 10.1212/NXG.0000000000000097

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Abstract

Objective: We sought to estimate the causal effect of low serum 25(OH)D on multiple sclerosis (MS) susceptibility that is not confounded by environmental or lifestyle factors or subject to reverse causality.

Methods: We conducted mendelian randomization (MR) analyses using an instrumental variable (IV) comprising 3 single nucleotide polymorphisms found to be associated with serum 25(OH)D levels at genome-wide significance. We analyzed the effect of the IV on MS risk and both age at onset and disease severity in 2 separate populations using logistic regression models that controlled for sex, year of birth, smoking, education, genetic ancestry, body mass index at age 18–20 years or in 20s, a weighted genetic risk score for 110 known MS-associated variants, and the presence of one or more HLA-DRB1*15:01 alleles.

Results: Findings from MR analyses using the IV showed increasing levels of 25(OH)D are associated with a decreased risk of MS in both populations. In white, non-Hispanic members of Kaiser Permanente Northern California (1,056 MS cases and 9,015 controls), the odds ratio (OR) was 0.79 (p = 0.04, 95% confidence interval (CI): 0.64–0.99). In members of a Swedish population from the Epidemiological Investigation of Multiple Sclerosis and Genes and Environment in Multiple Sclerosis MS case-control studies (6,335 cases and 5,762 controls), the OR was 0.86 (p = 0.03, 95% CI: 0.76–0.98). A meta-analysis of the 2 populations gave a combined OR of 0.85 (p = 0.003, 95% CI: 0.76–0.94). No association was observed for age at onset or disease severity.

Conclusions: These results provide strong evidence that low serum 25(OH)D concentration is a cause of MS, independent of established risk factors.

GLOSSARY

CI=
confidence interval;
EHR=
electronic health record;
EIMS=
Epidemiological Investigation of Multiple Sclerosis;
GERA=
Genetic Epidemiology Research on Adult Health and Aging;
GEMS=
Genes and Environment in Multiple Sclerosis;
GWAS=
genome-wide association study;
HWE=
Hardy-Weinberg equilibrium;
ICD-9=
International Classification of Diseases, 9th Revision;
IV=
instrumental variable;
KPNC=
Kaiser Permanente in Northern California;
LD=
linkage disequilibrium;
MAF=
minor allele frequency;
MDS=
multidimensional scaling;
MR=
mendelian randomization;
MS=
multiple sclerosis;
MSSS=
Multiple Sclerosis Severity Scores;
SNP=
single nucleotide polymorphism;
VDRE=
vitamin D response element;
wGRS=
weighted genetic risk score

Footnotes

  • Funding information and disclosures are provided at the end of the article. Go to Neurology.org/ng for full disclosure forms. The Article Processing Charge was paid by the authors.

  • ↵* These authors contributed equally to the article.

  • Supplemental data at Neurology.org/ng

  • Received June 8, 2016.
  • Accepted in final form July 12, 2016.
  • © 2016 American Academy of Neurology

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND), which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially.

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