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Alfayyadh MM, Maksemous N, Sutherland HG, Lea RA, Griffiths LR. Unravelling the Genetic Landscape of Hemiplegic Migraine: Exploring Innovative Strategies and Emerging Approaches. Genes (Basel) 2024; 15:443. [PMID: 38674378 PMCID: PMC11049430 DOI: 10.3390/genes15040443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 03/25/2024] [Indexed: 04/28/2024] Open
Abstract
Migraine is a severe, debilitating neurovascular disorder. Hemiplegic migraine (HM) is a rare and debilitating neurological condition with a strong genetic basis. Sequencing technologies have improved the diagnosis and our understanding of the molecular pathophysiology of HM. Linkage analysis and sequencing studies in HM families have identified pathogenic variants in ion channels and related genes, including CACNA1A, ATP1A2, and SCN1A, that cause HM. However, approximately 75% of HM patients are negative for these mutations, indicating there are other genes involved in disease causation. In this review, we explored our current understanding of the genetics of HM. The evidence presented herein summarises the current knowledge of the genetics of HM, which can be expanded further to explain the remaining heritability of this debilitating condition. Innovative bioinformatics and computational strategies to cover the entire genetic spectrum of HM are also discussed in this review.
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Affiliation(s)
| | | | | | | | - Lyn R. Griffiths
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia; (M.M.A.); (N.M.); (H.G.S.); (R.A.L.)
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Paulson TG, Galipeau PC, Oman KM, Sanchez CA, Kuhner MK, Smith LP, Hadi K, Shah M, Arora K, Shelton J, Johnson M, Corvelo A, Maley CC, Yao X, Sanghvi R, Venturini E, Emde AK, Hubert B, Imielinski M, Robine N, Reid BJ, Li X. Somatic whole genome dynamics of precancer in Barrett's esophagus reveals features associated with disease progression. Nat Commun 2022; 13:2300. [PMID: 35484108 PMCID: PMC9050715 DOI: 10.1038/s41467-022-29767-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 03/25/2022] [Indexed: 01/08/2023] Open
Abstract
While the genomes of normal tissues undergo dynamic changes over time, little is understood about the temporal-spatial dynamics of genomes in premalignant tissues that progress to cancer compared to those that remain cancer-free. Here we use whole genome sequencing to contrast genomic alterations in 427 longitudinal samples from 40 patients with stable Barrett’s esophagus compared to 40 Barrett’s patients who progressed to esophageal adenocarcinoma (ESAD). We show the same somatic mutational processes are active in Barrett’s tissue regardless of outcome, with high levels of mutation, ESAD gene and focal chromosomal alterations, and similar mutational signatures. The critical distinction between stable Barrett’s versus those who progress to cancer is acquisition and expansion of TP53−/− cell populations having complex structural variants and high-level amplifications, which are detectable up to six years prior to a cancer diagnosis. These findings reveal the timing of common somatic genome dynamics in stable Barrett’s esophagus and define key genomic features specific to progression to esophageal adenocarcinoma, both of which are critical for cancer prevention and early detection strategies. Barrett’s esophagus is a pre-malignant condition that can progress to esophageal cancer. Here, the authors carry out whole genome sequencing of samples from patients who did or did not progress to cancer and find that mutations in many genes occur regardless of progression status, but also find features associated with progressive disease.
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Affiliation(s)
- Thomas G Paulson
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA.
| | - Patricia C Galipeau
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
| | - Kenji M Oman
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
| | - Carissa A Sanchez
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
| | - Mary K Kuhner
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195-5065, USA.,Brotman Baty Institute for Precision Medicine, Seattle, WA, 98195-5065, USA
| | - Lucian P Smith
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195-5065, USA
| | - Kevin Hadi
- New York Genome Center (NYGC), New York, NY, 10013, USA
| | - Minita Shah
- New York Genome Center (NYGC), New York, NY, 10013, USA
| | - Kanika Arora
- New York Genome Center (NYGC), New York, NY, 10013, USA
| | | | - Molly Johnson
- New York Genome Center (NYGC), New York, NY, 10013, USA
| | - Andre Corvelo
- New York Genome Center (NYGC), New York, NY, 10013, USA
| | - Carlo C Maley
- Arizona Cancer Evolution Center, Biodesign Institute and School of Life Sciences, Arizona State University, Tempe, AZ, 85281, USA
| | - Xiaotong Yao
- New York Genome Center (NYGC), New York, NY, 10013, USA
| | | | | | | | | | - Marcin Imielinski
- New York Genome Center (NYGC), New York, NY, 10013, USA.,Department of Pathology and Laboratory Medicine, Englander Institute for Precision Medicine, Institute for Computational Biomedicine and Meyer Cancer Center, Weill Cornell Medical College, New York, NY, 10065, USA
| | | | - Brian J Reid
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA.,Department of Genome Sciences, University of Washington, Seattle, WA, 98195-5065, USA.,Brotman Baty Institute for Precision Medicine, Seattle, WA, 98195-5065, USA.,Department of Medicine, University of Washington, Seattle, WA, 98195, USA
| | - Xiaohong Li
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA.
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Smith LP, Yamato JA, Galipeau PC, Paulson TG, Li X, Sanchez CA, Reid BJ, Kuhner MK. Within-patient phylogenetic reconstruction reveals early events in Barrett's Esophagus. Evol Appl 2021; 14:399-415. [PMID: 33664784 PMCID: PMC7896700 DOI: 10.1111/eva.13125] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/20/2020] [Accepted: 08/25/2020] [Indexed: 12/22/2022] Open
Abstract
Barrett's Esophagus is a neoplastic condition which progresses to esophageal adenocarcinoma in 5% of cases. Key events affecting the outcome likely occur before diagnosis of Barrett's and cannot be directly observed; we use phylogenetic analysis to infer such past events. We performed whole-genome sequencing on 4-6 samples from 40 cancer outcome and 40 noncancer outcome patients with Barrett's Esophagus, and inferred within-patient phylogenies of deconvoluted clonal lineages. Spatially proximate lineages clustered in the phylogenies, but temporally proximate ones did not. Lineages with inferred loss-of-function mutations in both copies of TP53 and CDKN2A showed enhanced spatial spread, whereas lineages with loss-of-function mutations in other frequently mutated loci did not. We propose a two-phase model with expansions of TP53 and CKDN2A mutant lineages during initial growth of the segment, followed by relative stasis. Subsequent to initial expansion, mutations in these loci as well as ARID1A and SMARCA4 may show a local selective advantage but do not expand far: The spatial structure of the Barrett's segment remains stable during surveillance even in patients who go on to cancer. We conclude that the cancer/noncancer outcome is strongly affected by early steps in formation of the Barrett's segment.
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Affiliation(s)
- Lucian P. Smith
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Jon A. Yamato
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | | | - Thomas G. Paulson
- Division of Human BiologyFred Hutchinson Cancer Research CenterSeattleWAUSA
| | - Xiaohong Li
- Division of Human BiologyFred Hutchinson Cancer Research CenterSeattleWAUSA
| | - Carissa A. Sanchez
- Division of Human BiologyFred Hutchinson Cancer Research CenterSeattleWAUSA
| | - Brian J. Reid
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
- Division of Human BiologyFred Hutchinson Cancer Research CenterSeattleWAUSA
- Department of MedicineUniversity of WashingtonSeattleWAUSA
| | - Mary K. Kuhner
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
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