CHAPTER 10 232 10 134. Agrawal A, Verweij KJ, Gillespie NA, et al. The genetics of addiction-a translational perspective. Transl Psychiatry. 2012;2:e140. 135. Rozen TD. Cluster Headache Clinical Phenotypes: Tobacco Nonexposed (Never Smoker and No Parental Secondary Smoke Exposure as a Child) versus Tobacco-Exposed: Results from the United States Cluster Headache Survey. Headache. 2018;58(5):688699. 136. O’Connor LJ, Price AL. Distinguishing genetic correlation from causation across 52 diseases and complex traits. Nat Genet. 2018;50(12):1728-1734. 137. Gormley P, Kurki MI, Hiekkala ME, et al. Common Variant Burden Contributes to the Familial Aggregation of Migraine in 1,589 Families. Neuron. 2018;99(5):1098. 138. Pelzer N, de Vries B, Kamphorst JT, et al. PRRT2 and hemiplegic migraine: a complex association. Neurology. 2014;83(3):288-290. 139. Gardiner AR, Jaffer F, Dale RC, et al. The clinical and genetic heterogeneity of paroxysmal dyskinesias. Brain. 2015;138(Pt 12):3567-3580. 140. Suzuki M, Van Paesschen W, Stalmans I, et al. Defective membrane expression of the Na(+)- HCO(3)(-) cotransporter NBCe1 is associated with familial migraine. Proc Natl Acad Sci U S A. 2010;107(36):15963-15968. 141. Jen JC, Wan J, Palos TP, Howard BD, Baloh RW. Mutation in the glutamate transporter EAAT1 causes episodic ataxia, hemiplegia, and seizures. Neurology. 2005;65(4):529-534. 142. Weller CM, Leen WG, Neville BG, et al. A novel SLC2A1 mutation linking hemiplegic migraine with alternating hemiplegia of childhood. Cephalalgia. 2015;35(1):10-15. 143. Gormley P, Kurki M, Kurki MI, et al. Common Variant Burden Contributes to the Familial Aggregation of Migraine in 1,589 Families. Neuron. 2018;98(4):743-753.e4. 144. Campbell C, Leu C, Feng YA, et al. The role of common genetic variation in presumed monogenic epilepsies. EBioMedicine. 2022;81:104098. 145. Diogo D, Kurreeman F, Stahl EA, et al. Rare, low-frequency, and common variants in the protein-coding sequence of biological candidate genes from GWASs contribute to risk of rheumatoid arthritis. Am J Hum Genet. 2013;92(1):15-27. 146. Ionita-Laza I, Lee S, Makarov V, Buxbaum JD, Lin X. Sequence kernel association tests for the combined effect of rare and common variants. Am J Hum Genet. 2013;92(6):841-853. 147. Techlo TR, Rasmussen AH, Møller PL, et al. Familial analysis reveals rare risk variants for migraine in regulatory regions. Neurogenetics. 2020;21(3):149-157. 148. Rasmussen AH, Kogelman LJA, Kristensen DM, et al. Functional gene networks reveal distinct mechanisms segregating in migraine families. Brain. 2020;143(10):2945-2956. 149. Chari R, Coe BP, Vucic EA, Lockwood WW, Lam WL. An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer. BMC Syst Biol. 2010;4:67. 150. Subramanian I, Verma S, Kumar S, Jere A, Anamika K. Multi-omics Data Integration, Interpretation, and Its Application. Bioinform Biol Insights. 2020;14:1177932219899051. 151. de Leeuw CA, Mooij JM, Heskes T, Posthuma D. MAGMA: generalized gene-set analysis of GWAS data. PLoS Comput Biol. 2015;11(4):e1004219. 152. Kerimov N, Hayhurst JD, Manning JR, et al. eQTL Catalogue: a compendium of uniformly processed human gene expression and splicing QTLs. bioRxiv. 2020:2020.01.29.924266. 153. Pers TH, Karjalainen JM, Chan Y, et al. Biological interpretation of genome-wide association studies using predicted gene functions. Nature Communications. 2015;6:5890 154. Mancuso N, Freund MK, Johnson R, et al. Probabilistic fine-mapping of transcriptomewide association studies. Nat Genet. 2019;51(4):675-682. 155. Barbeira AN, Dickinson SP, Bonazzola R, et al. Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics. Nat Commun. 2018;9(1):1825.
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