SELAdb: A database of exonic variants in a Brazilian population referred to a quaternary medical center in Sao Paulo
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Citações na Scopus
15
Tipo de produção
article
Data de publicação
2020
Título da Revista
ISSN da Revista
Título do Volume
Editora
HOSPITAL CLINICAS, UNIV SAO PAULO
Citação
CLINICS, v.75, article ID e1913, 9p, 2020
Resumo
OBJECTIVES: High-throughput sequencing of genomes, exomes, and disease-focused gene panels is becoming increasingly common for molecular diagnostics. However, identifying a single clinically relevant pathogenic variant among thousands of genetic polymorphisms is a challenging task. Publicly available genomic databases are useful resources to filter out common genetic variants present in the population and enable the identification of each disease-causing variant. Based on our experience applying these technologies at Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo (HCFMUSP), Sao Paulo, Brazil, we recognized that the Brazilian population is not adequately represented in widely available genomic databases. METHODS: Here, we took advantage of our 5-year experience as a high-throughput sequencing core facility focused on individuals with putative genetic disorders to build a genomic database that may serve as a more accurate reference for our patient population: SELAdb. RESULTS/CONCLUSIONS: Currently, our database comprises a final cohort of 523 unrelated individuals, including patients or family members managed by different clinics of HCFMUSP. We compared SELAdb with other publicly available genomic databases and demonstrated that this population is very heterogeneous, largely resembling Latin American individuals of mixed origin, rather than individuals of pure European ancestry. Interestingly, exclusively through SELAdb, we identified a spectrum of known and potentially novel pathogenic variants in genes associated with highly penetrant Mendelian disorders, illustrating that pathogenic variants circulating in the Brazilian population that is treated in our clinics are underrepresented in other population databases. SELAdb is freely available for public consultation at: http://intranet.fm.usp.br/sela
Palavras-chave
Next Generation Sequencing, Database, Mendelian Disorders, Brazil, Population Genetics
Referências
- Altshuler DM, 2015, NATURE, V526, P68, DOI 10.1038/nature15393
- Andrews S., FASTQC QUALITY CONTR
- [Anonymous], HAIL 0 2 13 81AB564D
- Bushnell B., 2014, C 9 ANN GEN EN ENV M
- Chamberlin A, 2019, HUM MOL GENET, V28, P1620, DOI 10.1093/hmg/ddz002
- Cingolani P, 2012, FLY, V6, P80, DOI 10.4161/fly.19695
- Cingolani Pablo, 2012, Frontiers in Genetics, V3, P35, DOI 10.3389/fgene.2012.00035
- Correa FA, 2018, CLIN ENDOCRINOL, V88, P425, DOI 10.1111/cen.13535
- de Bruin C, 2016, HORM RES PAEDIAT, V86, P342, DOI 10.1159/000446476
- Franca MM, 2018, CLIN GENET, V93, P408, DOI 10.1111/cge.13156
- Franca MM, 2019, EUR J MED GENET, V62, P186, DOI 10.1016/j.ejmg.2018.07.008
- Franca MM, 2017, ENDOCRINE, V58, P442, DOI 10.1007/s12020-017-1459-2
- Franca MM, 2017, SEX DEV, V11, P137, DOI 10.1159/000477193
- Freire BL, 2018, EUR J MED GENET, V61, P130, DOI 10.1016/j.ejmg.2017.11.003
- Garrison E., 2012, HAPLOTYPE BASED VARI
- Garrison E., NTR
- Giolo SR, 2012, EUR J HUM GENET, V20, P111, DOI 10.1038/ejhg.2011.144
- Hisado-Oliva A, 2018, GENET MED, V20, P91, DOI 10.1038/gim.2017.66
- Kalia SS, 2017, GENET MED, V19, P249, DOI 10.1038/gim.2016.190
- Kehdy FSG, 2015, P NATL ACAD SCI USA, V112, P8696, DOI 10.1073/pnas.1504447112
- Landrum MJ, 2018, NUCLEIC ACIDS RES, V46, pD1062, DOI 10.1093/nar/gkx1153
- Lek M, 2016, NATURE, V536, P285, DOI 10.1038/nature19057
- Lessel D, 2018, BRAIN, V141, P2299, DOI 10.1093/brain/awy173
- Li H., 2013, ALIGNING SEQUENCE RE
- Li H, 2011, BIOINFORMATICS, V27, P2987, DOI 10.1093/bioinformatics/btr509
- Li Q, 2017, AM J HUM GENET, V100, P267, DOI 10.1016/j.ajhg.2017.01.004
- Naslavsky MS, 2017, HUM MUTAT, V38, P751, DOI 10.1002/humu.23220
- Okonechnikov K, 2016, BIOINFORMATICS, V32, P292, DOI 10.1093/bioinformatics/btv566
- Palmero EI, 2008, CANCER LETT, V261, P21, DOI 10.1016/j.canlet.2007.10.044
- Pedersen BS, 2020, GENOME MED, V12, DOI 10.1186/s13073-020-00761-2
- Pinto Emilia M., 2004, Arq Bras Endocrinol Metab, V48, P647, DOI 10.1590/S0004-27302004000500009
- Reich D, 2012, NATURE, V488, P370, DOI 10.1038/nature11258
- Ribeiro RC, 2001, P NATL ACAD SCI USA, V98, P9330, DOI 10.1073/pnas.161479898
- Shinjo SK, 2018, CLIN RHEUMATOL, V37, P1129, DOI 10.1007/s10067-017-3913-1
- Szpiech ZA, 2019, AM J HUM GENET, V105, P747, DOI 10.1016/j.ajhg.2019.08.011
- Tan A, 2015, BIOINFORMATICS, V31, P2202, DOI 10.1093/bioinformatics/btv112
- Tischler G, 2014, SOURCE CODE BIOL MED, V9, DOI 10.1186/1751-0473-9-13
- Vasques GA, 2017, J PEDIATR ENDOCR MET, V30, P111, DOI 10.1515/jpem-2016-0280
- Veloso MP, 2017, NEPHRON, V136, P158, DOI 10.1159/000458710
- Wickham H., 2016, GGPLOT2 ELEGANT GRAP
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