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Habitual sleep disturbances and migraine: a Mendelian randomization study

OBJECTIVE: Sleep disturbances are associated with increased risk of migraine, however the extent of shared underlying biology and the direction of causal relationships between these traits is unclear. Delineating causality between sleep patterns and migraine may offer new pathophysiologic insights a...

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Autores principales: Daghlas, Iyas, Vgontzas, Angeliki, Guo, Yanjun, Chasman, Daniel I., Saxena, Richa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732254/
https://www.ncbi.nlm.nih.gov/pubmed/33125193
http://dx.doi.org/10.1002/acn3.51228
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author Daghlas, Iyas
Vgontzas, Angeliki
Guo, Yanjun
Chasman, Daniel I.
Saxena, Richa
author_facet Daghlas, Iyas
Vgontzas, Angeliki
Guo, Yanjun
Chasman, Daniel I.
Saxena, Richa
author_sort Daghlas, Iyas
collection PubMed
description OBJECTIVE: Sleep disturbances are associated with increased risk of migraine, however the extent of shared underlying biology and the direction of causal relationships between these traits is unclear. Delineating causality between sleep patterns and migraine may offer new pathophysiologic insights and inform subsequent intervention studies. Here, we used genetic approaches to test for shared genetic influences between sleep patterns and migraine, and to test whether habitual sleep patterns may be causal risk factors for migraine and vice versa. METHODS: To quantify genetic overlap, we performed genome‐wide genetic correlation analyses using genome‐wide association studies of nine sleep traits in the UK Biobank (n ≥ 237,627), and migraine from the International Headache Genetics Consortium (59,674 cases and 316,078 controls). We then tested for potential causal effects between sleep traits and migraine using bidirectional, two‐sample Mendelian randomization. RESULTS: Seven sleep traits demonstrated genetic overlap with migraine, including insomnia symptoms (rg = 0.29, P < 10(−31)) and difficulty awakening (rg = 0.11, P < 10(−4)). Mendelian randomization analyses provided evidence for potential causal effects of difficulty awakening on risk of migraine (OR [95% CI] = 1.37 [1.12–1.68], P = 0.002), and nominal evidence that liability to insomnia symptoms increased the risk of migraine (1.09 [1.02–1.16], P = 0.02). In contrast, there was minimal evidence for an effect of migraine liability on sleep patterns or disturbances. INTERPRETATION: These data support a shared genetic basis between several sleep traits and migraine, and support potential causal effects of difficulty awakening and insomnia symptoms on migraine risk. Treatment of sleep disturbances may therefore be a promising clinical intervention in the management of migraine.
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spelling pubmed-77322542020-12-16 Habitual sleep disturbances and migraine: a Mendelian randomization study Daghlas, Iyas Vgontzas, Angeliki Guo, Yanjun Chasman, Daniel I. Saxena, Richa Ann Clin Transl Neurol Research Articles OBJECTIVE: Sleep disturbances are associated with increased risk of migraine, however the extent of shared underlying biology and the direction of causal relationships between these traits is unclear. Delineating causality between sleep patterns and migraine may offer new pathophysiologic insights and inform subsequent intervention studies. Here, we used genetic approaches to test for shared genetic influences between sleep patterns and migraine, and to test whether habitual sleep patterns may be causal risk factors for migraine and vice versa. METHODS: To quantify genetic overlap, we performed genome‐wide genetic correlation analyses using genome‐wide association studies of nine sleep traits in the UK Biobank (n ≥ 237,627), and migraine from the International Headache Genetics Consortium (59,674 cases and 316,078 controls). We then tested for potential causal effects between sleep traits and migraine using bidirectional, two‐sample Mendelian randomization. RESULTS: Seven sleep traits demonstrated genetic overlap with migraine, including insomnia symptoms (rg = 0.29, P < 10(−31)) and difficulty awakening (rg = 0.11, P < 10(−4)). Mendelian randomization analyses provided evidence for potential causal effects of difficulty awakening on risk of migraine (OR [95% CI] = 1.37 [1.12–1.68], P = 0.002), and nominal evidence that liability to insomnia symptoms increased the risk of migraine (1.09 [1.02–1.16], P = 0.02). In contrast, there was minimal evidence for an effect of migraine liability on sleep patterns or disturbances. INTERPRETATION: These data support a shared genetic basis between several sleep traits and migraine, and support potential causal effects of difficulty awakening and insomnia symptoms on migraine risk. Treatment of sleep disturbances may therefore be a promising clinical intervention in the management of migraine. John Wiley and Sons Inc. 2020-10-30 /pmc/articles/PMC7732254/ /pubmed/33125193 http://dx.doi.org/10.1002/acn3.51228 Text en © 2020 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Daghlas, Iyas
Vgontzas, Angeliki
Guo, Yanjun
Chasman, Daniel I.
Saxena, Richa
Habitual sleep disturbances and migraine: a Mendelian randomization study
title Habitual sleep disturbances and migraine: a Mendelian randomization study
title_full Habitual sleep disturbances and migraine: a Mendelian randomization study
title_fullStr Habitual sleep disturbances and migraine: a Mendelian randomization study
title_full_unstemmed Habitual sleep disturbances and migraine: a Mendelian randomization study
title_short Habitual sleep disturbances and migraine: a Mendelian randomization study
title_sort habitual sleep disturbances and migraine: a mendelian randomization study
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732254/
https://www.ncbi.nlm.nih.gov/pubmed/33125193
http://dx.doi.org/10.1002/acn3.51228
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