Genetic epidemiology of migraine and depression

Yang, Yuanhao; Ligthart, Lannie; Terwindt, Gisela M.; Boomsma, Dorret I.; Rodriguez-Acevedo, Astrid J.; Nyholt, Dale R.

doi:10.1177/0333102416638520

Cited by 62 publications

(53 citation statements)

References 115 publications

(156 reference statements)

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“…Thereby, our study adds to the existing literature that has already generated compelling evidence on comorbid associations with depression for a large number of somatic diseases, but usually focused on single or a few common diseases at the same time. In general, our findings on the cross-sectional associations of diagnosed depression and comorbid somatic disorders in the ambulatory setting are in large agreement with previous evidence on associations with various somatic diseases, including cardiovascular diseases [29,57], metabolic diseases [22,32,58], neurological diseases [31,59,60], cancer [61], immune-mediated inflammatory diseases [62][63][64][65], chronic lower respiratory diseases [34,66] and musculoskeletal diseases [67].…”

Section: Somatic Comorbiditysupporting

confidence: 91%

Mental and somatic comorbidity of depression: a comprehensive cross-sectional analysis of 202 diagnosis groups using German nationwide ambulatory claims data

et al. 2020

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Background: Depression is frequently accompanied by other mental disorders and various somatic diseases; however, previous comorbidity studies often relied on self-reported data and have not simultaneously assessed the entire spectrum of mental and somatic diagnoses. The aim is to provide a complete picture of mental and somatic comorbidity of depression in routine outpatient care in a high income country with a relatively well equipped health care system. Methods: Using ambulatory claims data covering 87% of the German population (age 15+), we designed a cross-sectional study by identifying persons diagnosed with mild, moderate and severe depression in 2017 (N = 6.3 million) and a control group matched 4:1 on sex, 5-year age group and region of residence (N = 25.2 million). Stratified by severity, we calculated the prevalence of 202 diagnosis groups included in the ICD-10 in persons with depression as compared to matched controls using prevalence ratios (PR). Results: Nearly all mental disorders were at least twice as prevalent in persons with depression relative to controls, showing a dose-response relationship with depression severity. Irrespective of severity, the three most prevalent somatic comorbid diagnosis groups were 'other dorsopathies' (M50-M54), 'hypertensive diseases' (I10-I15) and 'metabolic disorders' (E70-E90), exhibiting PRs in moderate depression of 1.56, 1.23 and 1.33, respectively. Strong associations were revealed with diseases of the central nervous system (i.e. multiple sclerosis) and several neurological diseases, among them sleep disorders, migraine and epilepsy, most of them exhibiting at least 2-to 3-fold higher prevalences in depression relative to controls. Utilization of health care was higher among depression cases compared to controls.

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Section: Somatic Comorbiditysupporting

confidence: 91%

Mental and somatic comorbidity of depression: a comprehensive cross-sectional analysis of 202 diagnosis groups using German nationwide ambulatory claims data

et al. 2020

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“…In the present study, we found that migraine was more frequent and severer among HA group than LA group, and the severity of migraine was a risk factor of depression. Many previous studies have demonstrated the association between HA and migraine as well as the association between migraine and depression [12,41,42]. Gamboa et al [12] also reported that there was an association between depression and migraine in HA population.…”

Section: Discussionmentioning

confidence: 94%

“…Migraine as altitude increases may be result from cellular hypoxia due to decreased barometric pressure [43]. The relationship between migraine and depression may be bidirectional, and genes from serotonergic and dopaminergic may be associated with the aetiology of both migraine and depression [42]. In addition, chronic stress may also be a trigger that leads to migraine and depression [44].…”

Section: Discussionmentioning

confidence: 99%

Prevalence of depression and associated factors among Chinese military plateau drivers in Golmud, Qinghai Province, China: a cross-sectional study

et al. 2020

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Background: Depression is associated with declining duty performance, suicide and other serious problems in the army. Prolonged deployment at high altitude may result in depression among military personnel. The present study aimed to investigate the prevalence of depression among Chinese military plateau drivers and determine the associated factors.Methods: The participants were military drivers selected from Golmud motor transport base (high altitude group) and Fuzhou motor transport base (low altitude group). All participants were asked to complete a self-administrated questionnaire. The questionnaire included demographic and working characteristics, the Self Rating Depression Scale (SDS), the 14-item Fatigue Scale (FS-14), the Global Assessment of Migraine Severity (GAMS), the numeric rating scale (NRS) for dyspnea, and item three of the Patient Health Questionnaire-9-item (PHQ-9) for screening sleep disturbance.Results: A total of 400 questionnaires were distributed (200 for each group); 400 questionnaires were collected (the response rate was 100%). After eliminating 16 invalid questionnaires, 194 plateau drivers and 190 lowland drivers provided valid response (96.0%). In comparison to lowland drivers, the plateau drivers had severer fatigue (t = 4.298, p < 0.001), severer migraine (t = 11.440, p < 0.001), severer breathlessness (t = 12.094, p < 0.001), severer sleep disturbance (t = 3.353, p = 0.001), and higher prevalence of depression symptoms (χ2 = 15.123, p < 0.001). The possibility of having depression symptoms was significantly higher among military plateau drivers who were suffering severer fatigue (OR = 1.14, 95% CI: 1.01-1.29), migraine (OR = 1.83, 95% CI: 1.13-2.95), breathlessness (OR = 1.69, 95% CI: 1.04-1.73), and sleep disturbance (OR = 1.78, 95% CI: 1.03-3.07).Conclusion: Prevalence of depression was high among Chinese military plateau drivers. The risk factors were fatigue, severity of migraine, severity of breathlessness, and poor sleep quality. It is essential to become aware of these risk factors and their causes to intervene and help prevention of depression among Chinese military plateau drivers.

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“…Several theories have been proposed to explain the etiology of the association between migraine and comorbid conditions, including unidirectional causal and bidirectional causal models, latent brain state models, and shared environmental or genetic risk factors . With respect to the latter, a number of studies have shown that shared genetic factors are involved in comorbid disorders, including for stroke, epilepsy, and depression, with a number of GWAS migraine susceptibility loci overlapping between data sets, for example, PHACTR1 is a susceptibility locus for both migraine, CAD and MI. With respect to CAD and migraine, a shared genetic basis was found, but surprisingly in MO only, and the impact risk variants was in the opposite direction .…”

Section: Part Ii: Common Migraine Due To Polygenic Factorsmentioning

confidence: 99%

“…With respect to CAD and migraine, a shared genetic basis was found, but surprisingly in MO only, and the impact risk variants was in the opposite direction . There is a bidirectional relationship between migraine and depression which can be explained, at least partly, by shared underlying genetic factors . However, using a genetic risk score analysis of GWAS SNP data Ligthart et al provided evidence that migraine with and without comorbid depression are genetically distinct disorders, with the implication being that for a subset of migraine patients with comorbid depression, migraine may be a symptom or consequence of the depression.…”

Section: Part Ii: Common Migraine Due To Polygenic Factorsmentioning

confidence: 99%

Genetics of Migraine: Insights into the Molecular Basis of Migraine Disorders

2017

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Migraine is a complex, debilitating neurovascular disorder, typically characterized by recurring, incapacitating attacks of severe headache often accompanied by nausea and neurological disturbances. It has a strong genetic basis demonstrated by rare migraine disorders caused by mutations in single genes (monogenic), as well as familial clustering of common migraine which is associated with polymorphisms in many genes (polygenic). Hemiplegic migraine is a dominantly inherited, severe form of migraine with associated motor weakness. Family studies have found that mutations in three different ion channels genes, CACNA1A, ATP1A2, and SCN1A can be causal. Functional studies of these mutations has shown that they can result in defective regulation of glutamatergic neurotransmission and the excitatory/inhibitory balance in the brain, which lowers the threshold for cortical spreading depression, a wave of cortical depolarization thought to be involved in headache initiation mechanisms. Other putative genes for monogenic migraine include KCKN18, PRRT2, and CSNK1D, which can also be involved with other disorders. There are a number of primarily vascular disorders caused by mutations in single genes, which are often accompanied by migraine symptoms. Mutations in NOTCH3 causes cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), a hereditary cerebrovascular disease that leads to ischemic strokes and dementia, but in which migraine is often present, sometimes long before the onset of other symptoms. Mutations in the TREX1 and COL4A1 also cause vascular disorders, but often feature migraine. With respect to common polygenic migraine, genome-wide association studies have now identified single nucleotide polymorphisms at 38 loci significantly associated with migraine risk. Functions assigned to the genes in proximity to these loci suggest that both neuronal and vascular pathways also contribute to the pathophysiology of common migraine. Further studies are required to fully understand these findings and translate them into treatment options for migraine patients.

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Genetic epidemiology of migraine and depression

Cited by 62 publications

References 115 publications

Mental and somatic comorbidity of depression: a comprehensive cross-sectional analysis of 202 diagnosis groups using German nationwide ambulatory claims data

Mental and somatic comorbidity of depression: a comprehensive cross-sectional analysis of 202 diagnosis groups using German nationwide ambulatory claims data

Prevalence of depression and associated factors among Chinese military plateau drivers in Golmud, Qinghai Province, China: a cross-sectional study

Genetics of Migraine: Insights into the Molecular Basis of Migraine Disorders

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