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Pinsach-Abuin M, del Olmo B, Pérez-Agustin A, Mates J, Allegue C, Iglesias A, Ma Q, Merkurjev D, Konovalov S, Zhang J, Sheikh F, Telenti A, Brugada J, Brugada R, Gymrek M, di Iulio J, Garcia-Bassets I, Pagans S. Analysis of Brugada syndrome loci reveals that fine-mapping clustered GWAS hits enhances the annotation of disease-relevant variants. Cell Rep Med 2021; 2:100250. [PMID: 33948580 PMCID: PMC8080235 DOI: 10.1016/j.xcrm.2021.100250] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 01/07/2021] [Accepted: 03/23/2021] [Indexed: 11/30/2022]
Abstract
Genome-wide association studies (GWASs) are instrumental in identifying loci harboring common single-nucleotide variants (SNVs) that affect human traits and diseases. GWAS hits emerge in clusters, but the focus is often on the most significant hit in each trait- or disease-associated locus. The remaining hits represent SNVs in linkage disequilibrium (LD) and are considered redundant and thus frequently marginally reported or exploited. Here, we interrogate the value of integrating the full set of GWAS hits in a locus repeatedly associated with cardiac conduction traits and arrhythmia, SCN5A-SCN10A. Our analysis reveals 5 common 7-SNV haplotypes (Hap1-5) with 2 combinations associated with life-threatening arrhythmia-Brugada syndrome (the risk Hap1/1 and protective Hap2/3 genotypes). Hap1 and Hap2 share 3 SNVs; thus, this analysis suggests that assuming redundancy among clustered GWAS hits can lead to confounding disease-risk associations and supports the need to deconstruct GWAS data in the context of haplotype composition.
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Affiliation(s)
- Mel·lina Pinsach-Abuin
- Department of Medical Sciences, School of Medicine, Universitat de Girona, Girona, Spain
- Visiting Scholar Program, Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Institut d’Investigació Biomèdica de Girona, Salt, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Bernat del Olmo
- Department of Medical Sciences, School of Medicine, Universitat de Girona, Girona, Spain
- Visiting Scholar Program, Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Institut d’Investigació Biomèdica de Girona, Salt, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Adrian Pérez-Agustin
- Department of Medical Sciences, School of Medicine, Universitat de Girona, Girona, Spain
- Institut d’Investigació Biomèdica de Girona, Salt, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Jesus Mates
- Department of Medical Sciences, School of Medicine, Universitat de Girona, Girona, Spain
- Institut d’Investigació Biomèdica de Girona, Salt, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Catarina Allegue
- Department of Medical Sciences, School of Medicine, Universitat de Girona, Girona, Spain
- Visiting Scholar Program, Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Institut d’Investigació Biomèdica de Girona, Salt, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Anna Iglesias
- Department of Medical Sciences, School of Medicine, Universitat de Girona, Girona, Spain
- Institut d’Investigació Biomèdica de Girona, Salt, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Qi Ma
- Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Daria Merkurjev
- Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Sergiy Konovalov
- Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Jing Zhang
- Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Farah Sheikh
- Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Amalio Telenti
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Josep Brugada
- Arrhythmia Unit, Hospital Clinic de Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Ramon Brugada
- Department of Medical Sciences, School of Medicine, Universitat de Girona, Girona, Spain
- Institut d’Investigació Biomèdica de Girona, Salt, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
- Cardiology Service, Hospital Universitari Dr. Josep Trueta, Girona, Spain
| | - Melissa Gymrek
- Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Julia di Iulio
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ivan Garcia-Bassets
- Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Sara Pagans
- Department of Medical Sciences, School of Medicine, Universitat de Girona, Girona, Spain
- Institut d’Investigació Biomèdica de Girona, Salt, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
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Apata M, Arriaza B, Llop E, Moraga M. Human adaptation to arsenic in Andean populations of the Atacama Desert. Am J Phys Anthropol 2017; 163:192-199. [PMID: 28206677 DOI: 10.1002/ajpa.23193] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Revised: 01/17/2017] [Accepted: 02/01/2017] [Indexed: 02/05/2023]
Abstract
OBJECTIVES Quebrada Camarones, in the Atacama Desert, has the highest arsenic levels in the Americas (>1,000 µg/L). However, the Camarones people have subsisted in this adverse environment during the last 7,000 years and have not presented any epidemiological emergencies. Therefore, to solve this conundrum we compared the frequencies of four protective genetic variants of the AS3MT gene associated with efficient arsenic metabolization, between the living populations of Camarones and two other populations historically exposed to lower levels of arsenic. MATERIALS AND METHODS The Chilean selected population samples come from Quebrada Camarones (n = 50) and the Azapa Valley (n = 47) in the north and San Juan de la Costa (n = 45) in southern Chile. The genotyping was conducted using PCR-RFLP. We compared the genotypic and allelic frequencies, and estimated the haplotype frequencies in the AS3MT gene. RESULTS We found higher frequencies of the protective variants in those people from Camarones than in the other two populations. The haplotype estimation showed that the combination of protective variants of CTTA is very frequent in Camarones (68%) and Azapa (48%), but extremely low in San Juan de la Costa (8%). Also, the C variant associated with toxicity risks in the SNP Met287Thr had a lower frequency in Camarones (1%) and is higher in the other populations. DISCUSSION The higher frequency of protective variants in both northern Chilean populations indicates a long exposure to naturally arsenic-contaminated water sources. Our data suggest that a high arsenic metabolization capacity has been selected as an adaptive mechanism in these populations in order to survive in an arsenic-laden environment.
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Affiliation(s)
- Mario Apata
- Programa de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Bernado Arriaza
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile
| | - Elena Llop
- Programa de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Mauricio Moraga
- Programa de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile.,Departamento de Antropología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile
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