Evidence map›Paper›PMID 32785571›Full record

ArticleClinics (Sao Paulo, Brazil)2020

SELAdb: A database of exonic variants in a Brazilian population referred to a quaternary medical center in São Paulo.

Antonio Marcondes Lerario, Dipika R Mohan, Luciana Ribeiro Montenegro, Mariana Ferreira de Assis Funari, Mirian Yumie Nishi, Amanda de Moraes Narcizo, Anna Flavia Figueredo Benedetti, Sueli Mieko Oba-Shinjo, Aurélio José Vitorino, Rogério Alexandre Scripnic Xavier Dos Santos and 4 more

Open access · goldAbstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 2 countries.

Antonio Marcondes LerarioDisciplina de Endocrinologia e Metabologia, Departamento de Clinica Medica, LIM/42, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Dipika R MohanMedical Scientist Training Program, University of Michigan, Ann Arbor, MI, USA.
Luciana Ribeiro MontenegroDisciplina de Endocrinologia e Metabologia, Departamento de Clinica Medica, LIM/42, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Mariana Ferreira de Assis FunariDisciplina de Endocrinologia e Metabologia, Departamento de Clinica Medica, LIM/42, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Mirian Yumie NishiDisciplina de Endocrinologia e Metabologia, Departamento de Clinica Medica, LIM/42, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Amanda de Moraes NarcizoLaboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Anna Flavia Figueredo BenedettiLaboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Sueli Mieko Oba-ShinjoLaboratorio de Biologia Molecular e Celular, LIM/15, Departamento de Neurologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Aurélio José VitorinoLaboratorio de Informatica Medica - LIM/01, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Rogério Alexandre Scripnic Xavier Dos SantosLaboratorio de Informatica Medica - LIM/01, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Alexander Augusto de Lima JorgeDisciplina de Endocrinologia e Metabologia, Departamento de Clinica Medica, LIM/42, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Luiz Fernando OnuchicDisciplina de Medicina Molecular, Departamento de Clinica Medica, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Suely Kazue Nagahashi MarieLaboratorio de Biologia Molecular e Celular, LIM/15, Departamento de Neurologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Berenice Bilharinho MendoncaDisciplina de Endocrinologia e Metabologia, Departamento de Clinica Medica, LIM/42, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade de São Paulo · BRUniversity of Michigan · US

Funding

MICHIGAN MEDICAL SCIENTIST TRAINING PROGRAMT32GM007863 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLLINS, KATHLEEN L. · 1985 to 2024
$38.3M
NIGMS NIH HHS T32 GM007863
6 · The paper itself

Abstract

objectivesHigh-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 Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, Brazil, we recognized that the Brazilian population is not adequately represented in widely available genomic databases.

methodsHere, 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/

conclusionsCurrently, 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.

Indexed as

Databases, GeneticGenomicsBrazilCohort StudiesHigh-Throughput Nucleotide SequencingHumans

Identifiers

PMID32785571
PMCPMC7410354
OpenAlexW3048311302

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.