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53. Additional file 1 of Menopausal hormone therapy, oral contraceptives and risk of chronic low back pain: the HUNT Study

54. Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes

55. Long-Term Use of Amoxicillin Is Associated with Changes in Gene Expression and DNA Methylation in Patients with Low Back Pain and Modic Changes.

56. Genome wide association study identifies variants in NBEA associated with migraine in bipolar disorder

57. Differential response to prolonged amoxicillin treatment: long-term resilience of the microbiome versus long-lasting perturbations in the gut resistome

59. Amoxicillin Did Not Reduce Modic Change Edema in Patients With Chronic Low Back Pain

61. Rare SLC13A1 variants associate with intervertebral disc disorder highlighting role of sulfate in disc pathology

62. Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index

63. Killing pain?: a population-based registry study of the use of prescription analgesics, anxiolytics, and hypnotics among all children, adolescents and young adults in Norway from 2004 to 2019

66. Cluster headache polygenetic risk and known functional variants of CYP3A4 are not associated with treatment response.

67. Gene co-expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS-based study using the Allen Human Brain Atlas

82. Low Back Pain With Persistent Radiculopathy; the Clinical Role of Genetic Variants in the Genes SOX5, CCDC26/GSDMC and DCC

83. Stroke genetics informs drug discovery and risk prediction across ancestries

90. Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations

92. Genome-wide association study identifies new locus associated with OCD

98. Macrophage migration inhibitory factor: a potential biomarker for chronic low back pain in patients with Modic changes

100. Dissecting the shared genetic basis of migraine and mental disorders using novel statistical tools

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