1
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Rohweder R, de Oliveira Schmalfuss T, Dos Santos Borniger D, Ferreira CZ, Zanardini MK, Lopes GPTF, Barbosa CP, Moreira TD, Schuler-Faccini L, Sanseverino MTV, da Silva AA, Abeche AM, Vianna FSL, Fraga LR. Caffeine intake during pregnancy and adverse outcomes: An integrative review. Reprod Toxicol 2024; 123:108518. [PMID: 38042437 DOI: 10.1016/j.reprotox.2023.108518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 11/08/2023] [Accepted: 11/28/2023] [Indexed: 12/04/2023]
Abstract
Caffeine intake during pregnancy is common. Caffeine crosses the placenta, raising concerns about its possible deleterious effects on the developing embryo/fetus. Studies on this subject show conflicting results, and still there is no consensus on the recommended dose of caffeine during pregnancy. We performed an integrative review with studies from six databases, using broad MESH terms to allow the identification of publications that addressed the outcomes of caffeine use during pregnancy, with no date limit for publications, in English and Portuguese language. The research returned 16,192 articles. After removing duplicates, screening by title, abstract and full-text, we evaluated 257 and included 59 articles. We found association between caffeine intake and pregnancy loss, low birth weight, cardiac and genital anomalies, higher body mass, and neurodevelopmental and neurobehavioral outcomes. The effects were often dose dependent. No association with prematurity has been demonstrated, but one study showed a small reduction in gestational age with increasing doses of caffeine intake. Defining a safe dose for caffeine intake during pregnancy is a challenging task due to the heterogeneity in study designs and results, as well as the difficulty of reliably assessing the amount of caffeine consumed. In some studies, exposures below the recommended level of caffeine intake during pregnancy (200 mg/day), as suggested by the guidelines, were associated with pregnancy loss, low birth weight, cardiac and genital anomalies, higher body mass, and neurodevelopmental and neurobehavioral outcomes. Well-designed studies with reliable quantification of caffeine intake are needed to assess the safety of low doses during pregnancy.
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Affiliation(s)
- Ricardo Rohweder
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Programa de Pós-Graduação em Genética e Biologia Molecular, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Thanyse de Oliveira Schmalfuss
- Programa de Monitoramento de Defeitos Congênitos do Hospital de Clínicas de Porto Alegre (PMDC-HCPA), Porto Alegre, Brazil
| | - Diessy Dos Santos Borniger
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Carolina Zanfir Ferreira
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Marcos Kobren Zanardini
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Guilherme Paulon Torrano Ferreira Lopes
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Camila Pocharski Barbosa
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Faculdade de Farmácia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Taiane Dornelles Moreira
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Lavinia Schuler-Faccini
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Programa de Pós-Graduação em Genética e Biologia Molecular, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Maria Teresa Vieira Sanseverino
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Programa de Pós-Graduação em Genética e Biologia Molecular, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Programa de Monitoramento de Defeitos Congênitos do Hospital de Clínicas de Porto Alegre (PMDC-HCPA), Porto Alegre, Brazil; Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil
| | - André Anjos da Silva
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Programa de Pós-Graduação em Ciências Médicas - Universidade do Vale do Taquari - UNIVATES, Lajeado, Brazil; Universidade do Vale do Rio dos Sinos - UNISINOS, São Leopoldo, Brazil
| | - Alberto Mantovani Abeche
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Fernanda Sales Luiz Vianna
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Programa de Pós-Graduação em Genética e Biologia Molecular, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Lucas Rosa Fraga
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Departamento de Ciências Morfológicas, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Programa de Pós-Graduação em Medicina - Ciências Médicas, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
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2
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Moura P, Cardoso-dos-Santos AC, Schuler-Faccini L. Clusters of oculocutaneous albinism in isolated populations in Brazil: A community genetics challenge. Genet Mol Biol 2023; 46:e20230164. [PMID: 38113291 PMCID: PMC10729785 DOI: 10.1590/1678-4685-gmb-2023-0164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 10/20/2023] [Indexed: 12/21/2023] Open
Abstract
Oculocutaneous albinism (OCA) is a heterogeneous group of genetic disorders involving deficiencies in melanin biosynthesis, with consequent skin, hair, and eye hypopigmentation. The world prevalence is estimated at 1/17,000, but there is high variability among populations. The affected individuals, besides clinical complications, can suffer from discrimination. The Brazilian population is highly admixed, with isolated and inbred communities. Previous reports indicated the presence of diverse isolated communities with a high prevalence of OCA in Brazil. The present work sought to review and characterize clusters of albinism in this country based on scientific literature search, newspapers, and websites. We identified and characterized 18 clusters, 13 confirmed by scientific studies. Seven clusters are in the Northeast region, with predominant African ancestry, and seven others in indigenous communities, particularly among the Kaingaing in South Brazil. Isolation and inbreeding associated with founder effects seem to be the most plausible explanation. Molecular studies and clinical classification are still limited. Their localization in deprived regions with poor infrastructure makes them particularly vulnerable to the social and clinical consequences of lacking melanin. We reinforce the need for a tailored approach to these communities, including appropriate medical care, social support, and genetic counselling.
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Affiliation(s)
- Paulyana Moura
- Universidade Federal do Rio Grande do Sul,
Instituto de Biociências, Programa de Pós-graduação de Genética e Biologia
Molecular, Porto Alegre, RS, Brazil.Universidade Federal do Rio Grande do
SulInstituto de BiociênciasPrograma de Pós-graduação de Genética e Biologia
MolecularPorto AlegreRSBrazil
| | - Augusto César Cardoso-dos-Santos
- Ministério da Saúde, Governo Federal, Brasília,
DF, Brazil.Ministério da SaúdeGoverno FederalBrasíliaDFBrazil
- Instituto Nacional de Ciência e Tecnologia de
Genética Médica Populacional (INaGeMP), Porto Alegre, RS, Brazil.Instituto Nacional de Ciência e Tecnologia de
Genética Médica PopulacionalPorto AlegreRSBrazil
| | - Lavinia Schuler-Faccini
- Universidade Federal do Rio Grande do Sul,
Instituto de Biociências, Programa de Pós-graduação de Genética e Biologia
Molecular, Porto Alegre, RS, Brazil.Universidade Federal do Rio Grande do
SulInstituto de BiociênciasPrograma de Pós-graduação de Genética e Biologia
MolecularPorto AlegreRSBrazil
- Instituto Nacional de Ciência e Tecnologia de
Genética Médica Populacional (INaGeMP), Porto Alegre, RS, Brazil.Instituto Nacional de Ciência e Tecnologia de
Genética Médica PopulacionalPorto AlegreRSBrazil
- Hospital de Clínicas Porto Alegre HCPA, Porto
Alegre, RS, Brazil. Hospital de Clínicas Porto Alegre
HCPAPorto AlegreRSBrazil
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3
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Boquett JA, Vianna FSL, Fagundes NJR, Schroeder L, Barbian M, Zagonel-Oliveira M, Andreis TF, Pôrto LCMS, Chies JAB, Schuler-Faccini L, Ashton-Prolla P, Rosset C. HLA haplotypes and differential regional mortality caused by COVID-19 in Brazil: an ecological study based on a large bone marrow donor bank dataset. AN ACAD BRAS CIENC 2023; 95:e20220801. [PMID: 37851747 DOI: 10.1590/0001-3765202320220801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 10/19/2022] [Indexed: 10/20/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) mortality rates varied among the states of Brazil during the course of the pandemics. The human leukocyte antigen (HLA) is a critical component of the antigen presentation pathway. Individuals with different HLA genotypes may trigger different immune responses against pathogens, which could culminate in different COVID-19 responses. HLA genotypes are variable, especially in the highly admixed Brazilian population. In this ecological study, we aimed to investigate the correlation between HLA haplotypes and the different regional distribution of COVID-19 mortality in Brazil. HLA data was obtained from 4,148,713 individuals registered in The Brazilian Voluntary Bone Marrow Donors Registry. COVID-19 data was retrieved from epidemiological bulletins issued by State Health Secretariats via Brazil's Ministry of Health from February/2020 to July/2022. We found a positive significant correlation between the HLA-A*01~B*08~DRB1*03 haplotype and COVID-19 mortality rates when we analyzed data from 26 states and the Federal District. This result indicates that the HLA-A*01~B*08~DRB1*03 haplotype may represent an additional risk factor for dying due to COVID-19. This haplotype should be further studied in other populations for a better understanding of the variation in COVID-19 outcomes across the world.
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Affiliation(s)
- Juliano André Boquett
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
- Programa de Pós-Graduação em Saúde da Criança e do Adolescente, Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Rua Ramiro Barcelos, 2400, Santa Cecília, 90035-002 Porto Alegre, RS, Brazil
| | - Fernanda S L Vianna
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
| | - Nelson J R Fagundes
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
- Programa de Pós-Graduação em Biologia Animal, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
| | - Lucas Schroeder
- Programa de Pós-Graduação em Computação Aplicada, Universidade do Vale do Rio dos Sinos, Laboratório de Visualização Avançada (VIZLab), Avenida Unisinos, 950, Cristo Rei, 93022-750 São Leopoldo, RS, Brazil
| | - Marcia Barbian
- Universidade Federal do Rio Grande do Sul, Departamento de Estatística, Instituto de Matemática e Estatística, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
| | - Marcelo Zagonel-Oliveira
- Programa de Pós-Graduação em Computação Aplicada, Universidade do Vale do Rio dos Sinos, Laboratório de Visualização Avançada (VIZLab), Avenida Unisinos, 950, Cristo Rei, 93022-750 São Leopoldo, RS, Brazil
| | - Tiago F Andreis
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
| | - Luis Cristóvão M S Pôrto
- Universidade Estadual do Rio de Janeiro, Laboratório de Histocompatibilidade e Criopreservação, Rua São Francisco Xavier, 524, Maracanã, 20550-013 Rio de Janeiro, RJ, Brazil
| | - José Artur B Chies
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
| | - Lavinia Schuler-Faccini
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
- Programa de Pós-Graduação em Saúde da Criança e do Adolescente, Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Rua Ramiro Barcelos, 2400, Santa Cecília, 90035-002 Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Serviço de Genética Médica, Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
- Instituto Nacional de Genética Médica Populacional (iNaGeMP), Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
| | - Patricia Ashton-Prolla
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Serviço de Genética Médica, Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
| | - Clévia Rosset
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
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4
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Kowalski TW, Feira MF, Lord VO, Gomes JDA, Giudicelli GC, Fraga LR, Sanseverino MTV, Recamonde-Mendoza M, Schuler-Faccini L, Vianna FSL. A New Strategy for the Old Challenge of Thalidomide: Systems Biology Prioritization of Potential Immunomodulatory Drug (IMiD)-Targeted Transcription Factors. Int J Mol Sci 2023; 24:11515. [PMID: 37511270 PMCID: PMC10380514 DOI: 10.3390/ijms241411515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/06/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
Several molecular mechanisms of thalidomide embryopathy (TE) have been investigated, from anti-angiogenesis to oxidative stress to cereblon binding. Recently, it was discovered that thalidomide and its analogs, named immunomodulatory drugs (IMiDs), induced the degradation of C2H2 transcription factors (TFs). This mechanism might impact the strict transcriptional regulation of the developing embryo. Hence, this study aims to evaluate the TFs altered by IMiDs, prioritizing the ones associated with embryogenesis through transcriptome and systems biology-allied analyses. This study comprises only the experimental data accessed through bioinformatics databases. First, proteins and genes reported in the literature as altered/affected by the IMiDs were annotated. A protein systems biology network was evaluated. TFs beta-catenin (CTNNB1) and SP1 play more central roles: beta-catenin is an essential protein in the network, while SP1 is a putative C2H2 candidate for IMiD-induced degradation. Separately, the differential expressions of the annotated genes were analyzed through 23 publicly available transcriptomes, presenting 8624 differentially expressed genes (2947 in two or more datasets). Seventeen C2H2 TFs were identified as related to embryonic development but not studied for IMiD exposure; these TFs are potential IMiDs degradation neosubstrates. This is the first study to suggest an integration of IMiD molecular mechanisms through C2H2 TF degradation.
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Affiliation(s)
- Thayne Woycinck Kowalski
- Graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil
- Teratogen Information System (SIAT), Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
- Laboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
- Bioinformatics Core, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
- Biomedical Sciences Course, Centro Universitário CESUCA, Cachoeirinha 94935-630, Brazil
| | - Mariléa Furtado Feira
- Graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil
- Laboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
| | - Vinícius Oliveira Lord
- Laboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
- Biomedical Sciences Course, Centro Universitário CESUCA, Cachoeirinha 94935-630, Brazil
| | - Julia do Amaral Gomes
- Laboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
| | - Giovanna Câmara Giudicelli
- Graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil
- Bioinformatics Core, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
| | - Lucas Rosa Fraga
- Teratogen Information System (SIAT), Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
- Laboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
- Post-Graduation Program in Medicine, Medical Sciences, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 90035-003, Brazil
- Department of Morphological Sciences, Institute of Health Sciences, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 90010-150, Brazil
| | - Maria Teresa Vieira Sanseverino
- Graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil
- Teratogen Information System (SIAT), Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
- School of Medicine, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre 90619-900, Brazil
| | - Mariana Recamonde-Mendoza
- Bioinformatics Core, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
- Post-Graduation Program in Computer Science, Institute of Informatics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil
| | - Lavinia Schuler-Faccini
- Graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil
- Teratogen Information System (SIAT), Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
| | - Fernanda Sales Luiz Vianna
- Graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil
- Teratogen Information System (SIAT), Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
- Laboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
- Post-Graduation Program in Medicine, Medical Sciences, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 90035-003, Brazil
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5
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Li Y, Xiong Z, Zhang M, Hysi PG, Qian Y, Adhikari K, Weng J, Wu S, Du S, Gonzalez-Jose R, Schuler-Faccini L, Bortolini MC, Acuna-Alonzo V, Canizales-Quinteros S, Gallo C, Poletti G, Bedoya G, Rothhammer F, Wang J, Tan J, Yuan Z, Jin L, Uitterlinden AG, Ghanbari M, Ikram MA, Nijsten T, Zhu X, Lei Z, Jia P, Ruiz-Linares A, Spector TD, Wang S, Kayser M, Liu F. Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci. PLoS Genet 2023; 19:e1010786. [PMID: 37459304 PMCID: PMC10351707 DOI: 10.1371/journal.pgen.1010786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 05/16/2023] [Indexed: 07/20/2023] Open
Abstract
Human ear morphology, a complex anatomical structure represented by a multidimensional set of correlated and heritable phenotypes, has a poorly understood genetic architecture. In this study, we quantitatively assessed 136 ear morphology traits using deep learning analysis of digital face images in 14,921 individuals from five different cohorts in Europe, Asia, and Latin America. Through GWAS meta-analysis and C-GWASs, a recently introduced method to effectively combine GWASs of many traits, we identified 16 genetic loci involved in various ear phenotypes, eight of which have not been previously associated with human ear features. Our findings suggest that ear morphology shares genetic determinants with other surface ectoderm-derived traits such as facial variation, mono eyebrow, and male pattern baldness. Our results enhance the genetic understanding of human ear morphology and shed light on the shared genetic contributors of different surface ectoderm-derived phenotypes. Additionally, gene editing experiments in mice have demonstrated that knocking out the newly ear-associated gene (Intu) and a previously ear-associated gene (Tbx15) causes deviating mouse ear morphology.
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Affiliation(s)
- Yi Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, China
| | - Ziyi Xiong
- Department of Genetic Identification, Erasmus MC, University Medical Center, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center, the Netherlands
| | - Manfei Zhang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, China
| | - Pirro G. Hysi
- Department of Twin Research and Genetic Epidemiology, King’s College London, United Kingdom
| | - Yu Qian
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, China
- Beijing No.8 High School, Beijing, China
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, United Kingdom
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, United Kingdom
| | - Jun Weng
- Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
| | - Sijie Wu
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, China
| | - Siyuan Du
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
- University of Chinese Academy of Sciences, China
| | - Rolando Gonzalez-Jose
- Instituto Patagonico de Ciencias Sociales y Humanas, Centro Nacional Patagonico, CONICET, Argentina
| | | | | | - Victor Acuna-Alonzo
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Quimica, UNAM-Instituto Nacional de Medicina Genomica, Mexico
| | - Carla Gallo
- Laboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Peru
| | - Giovanni Poletti
- Laboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Peru
| | - Gabriel Bedoya
- GENMOL (Genetica Molecular), Universidad de Antioquia, Medellin, Colombia
| | | | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, China
| | - Jingze Tan
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, China
| | - Ziyu Yuan
- Fudan-Taizhou Institute of Health Sciences, China
| | - Li Jin
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, China
- Fudan-Taizhou Institute of Health Sciences, China
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC, University Medical Center, the Netherlands
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center, the Netherlands
| | - Tamar Nijsten
- Department of Dermatology, Erasmus MC, University Medical Center, the Netherlands
| | - Xiangyu Zhu
- Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, China
| | - Zhen Lei
- Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, China
| | - Peilin Jia
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, China
| | - Andres Ruiz-Linares
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, United Kingdom
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, China
- Aix-Marseille Universite, CNRS, EFS, ADES, France
| | - Timothy D. Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, United Kingdom
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, China
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC, University Medical Center, the Netherlands
| | - Fan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, China
- Department of Genetic Identification, Erasmus MC, University Medical Center, the Netherlands
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6
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Cardoso-dos-Santos AC, Reales G, Schuler-Faccini L. Clusters of rare disorders and congenital anomalies in South America. Rev Panam Salud Publica 2023; 47:e98. [PMID: 37363626 PMCID: PMC10289474 DOI: 10.26633/rpsp.2023.98] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 03/21/2023] [Indexed: 06/28/2023] Open
Abstract
Objective To map geographic clusters of rare disorders and congenital anomalies reported in South America. Methods Qualitative systematic review conducted in Medline/PubMed, Lilacs, and Scielo electronic databases to identify studies meeting eligibility criteria. The strategy resulted in 1 672 unique articles, from which 164 were selected for full reading by a pair of reviewers. Results Fifty-five articles reported at least one cluster of genetic disorders or congenital anomalies in South American territory. From these papers, 122 clusters were identified, of which half (61) were related to autosomal recessive disorders. Sixty-five (53.3%) of the clusters were located in Brazil. Conclusions The results of the review reinforce that rare diseases and congenital anomalies can occur in a non-random way in space, which is discussed in the perspective of the complex history of formation, social organization, and genetic structure of the South American population. Mapping clusters in population medical genetics can be an important public health tool, given that such places concentrate cases of rare diseases that frequently require multiprofessional, specialized care. Therefore, these results can support important agendas in public health related to rare diseases and congenital anomalies, such as health promotion and surveillance.
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Affiliation(s)
- Augusto César Cardoso-dos-Santos
- Instituto Nacional de Ciência e Tecnologia de Genética Médica Populacional (INaGeMP)Porto Alegre, RSBrazilInstituto Nacional de Ciência e Tecnologia de Genética Médica Populacional (INaGeMP), Porto Alegre, RS, Brazil
| | - Guillermo Reales
- Universidade Federal do Rio Grande do SulPorto Alegre, RSBrazilUniversidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Lavinia Schuler-Faccini
- Universidade Federal do Rio Grande do SulPorto Alegre, RSBrazilUniversidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
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7
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Bromley RL, Bickle Graz M, Bluett-Duncan M, Chambers C, Damkier P, Dietrich K, Dolk H, Grant K, Mattson S, Meador KJ, Nordeng H, Oberlander TF, Ornoy A, Revet A, Richardson J, Rovet J, Schuler-Faccini L, Smearman E, Simms V, Vorhees C, Wide K, Wood A, Yates L, Ystrom E, Supraja TA, Adams J. Expert consensus on neurodevelopmental outcomes in pregnancy pharmacovigilance studies. Front Pharmacol 2023; 14:1094698. [PMID: 37332344 PMCID: PMC10270323 DOI: 10.3389/fphar.2023.1094698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 05/17/2023] [Indexed: 06/20/2023] Open
Abstract
Background: Exposure in utero to certain medications can disrupt processes of fetal development, including brain development, leading to a continuum of neurodevelopmental difficulties. Recognizing the deficiency of neurodevelopmental investigations within pregnancy pharmacovigilance, an international Neurodevelopmental Expert Working Group was convened to achieve consensus regarding the core neurodevelopmental outcomes, optimization of methodological approaches and barriers to conducting pregnancy pharmacovigilance studies with neurodevelopmental outcomes. Methods: A modified Delphi study was undertaken based on stakeholder and expert input. Stakeholders (patient, pharmaceutical, academic and regulatory) were invited to define topics, pertaining to neurodevelopmental investigations in medication-exposed pregnancies. Experts were identified for their experience regarding neurodevelopmental outcomes following medicinal, substances of misuse or environmental exposures in utero. Two questionnaire rounds and a virtual discussion meeting were used to explore expert opinion on the topics identified by the stakeholders. Results: Twenty-five experts, from 13 countries and professionally diverse backgrounds took part in the development of 11 recommendations. The recommendations focus on the importance of neurodevelopment as a core feature of pregnancy pharmacovigilance, the timing of study initiation and a core set of distinct but interrelated neurodevelopmental skills or diagnoses which require investigation. Studies should start in infancy with an extended period of investigation into adolescence, with more frequent sampling during rapid periods of development. Additionally, recommendations are made regarding optimal approach to neurodevelopmental outcome measurement, comparator groups, exposure factors, a core set of confounding and mediating variables, attrition, reporting of results and the required improvements in funding for potential later emerging effects. Different study designs will be required depending on the specific neurodevelopmental outcome type under investigation and whether the medicine in question is newly approved or already in widespread use. Conclusion: An improved focus on neurodevelopmental outcomes is required within pregnancy pharmacovigilance. These expert recommendations should be met across a complementary set of studies which converge to form a comprehensive set of evidence regarding neurodevelopmental outcomes in pregnancy pharmacovigilance.
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Affiliation(s)
- R. L. Bromley
- Division of Neuroscience, Faculty of Medicine, School of Biological Sciences, Biology and Health, University of Manchester, Manchester, United Kingdom
- Royal Manchester Children’s Hospital, Manchester Academic Sciences Park, Manchester, United Kingdom
| | - M. Bickle Graz
- Neonatology, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland
| | - M. Bluett-Duncan
- Division of Neuroscience, Faculty of Medicine, School of Biological Sciences, Biology and Health, University of Manchester, Manchester, United Kingdom
| | - C. Chambers
- Division of Environmental Science and Health, Department of Pediatrics, University of California San Diego School of Medicine, San Diego, CA, United States
| | - P. Damkier
- Department of Clinical Pharmacology, Odense University Hospital, Denmark and Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - K. Dietrich
- Department of Environmental and Public Health Sciences, Division of Epidemiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - H. Dolk
- Maternal, Fetal and Infant Research Unit, Faculty of Life and Health Sciences, Ulster University, Coleraine, United Kingdom
| | - K. Grant
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, United States
| | - S. Mattson
- Center for Behavioral Teratology, San Diego State University, San Diego, CA, United States
| | - K. J. Meador
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Palo Alto, CA, United States
| | - H. Nordeng
- Pharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, University of Oslo, Oslo, Norway
- Department of Child Health and Development, Norwegian Institute of Public Health, Oslo, Norway
| | - T. F. Oberlander
- Department Pediatrics and School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - A. Ornoy
- Hebrew University Hadassah Medical School, Adelson School of Medicine, Ariel University, Jerusalem, Israel
| | - A. Revet
- INSERM University of Toulouse 3, Toulouse, France
- Department of Child and Adolescent Psychiatry, Toulouse University Hospital, Toulouse, France
| | - J. Richardson
- UK Teratology Information Service, Newcastle, United Kingdom
| | - J. Rovet
- Department of Psychology, University of Toronto, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | - L. Schuler-Faccini
- Genetics Department, Hospital de Clinicas de Porto Alegre, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - E. Smearman
- Department of Surgery, Emory University, Atlanta, GA, United States
| | - V. Simms
- School of Psychology, Faculty of Life and Health Sciences, Ulster University, Coleraine, United Kingdom
| | - C. Vorhees
- Department of Pediatrics, Division of Neurology, University of Cincinnati College of Medicine and Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - K. Wide
- Department of Pediatrics, CLINTEC, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - A. Wood
- Clinical Sciences, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - L. Yates
- Northern Genetics Service, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, United Kingdom
- KRISP, University of KwaZulu-Natal, Durban, South Africa
| | - E. Ystrom
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | - T. A. Supraja
- National Institute of Mental Health and Neurosciences NIMHANS, Bangalore, Karnataka, India
| | - J. Adams
- Department of Psychology, University of Massachusetts Boston, Boston, MA, United States
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8
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Bonilla C, Albuquerque Sortica V, Schuler-Faccini L, Matijasevich A, Scheffer MC. Medical geneticists, genetic diseases and services in Brazil in the age of personalized medicine. Per Med 2022; 19:549-563. [DOI: 10.2217/pme-2021-0153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Aim: In anticipation of the implementation of personalized medicine in Brazil the authors assessed the characteristics of its medical genetics workforce together with the distribution of genetic diseases and services across the country. Materials & methods: The authors used demographic data on medical specialties, and summarized data from the public and private healthcare systems on live births, hospitalization and mortality, for the years 2019 and 2020. Results: The distribution of medical geneticists (MGs) overlapped the country-wide distribution of genetic diseases and services examined, indicating that ∼30% of the patient population has access to a MG specialist. Graduate specialism in medical genetics, registered MGs and suitable workplaces were concentrated in the south and southeast regions, leaving the north and northeast deeply underserved. Conclusion: MGs are concentrated in the wealthiest and most populated areas, while other regions have very limited services. These inequalities should be addressed for a successful transition to personalized medicine.
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Affiliation(s)
- Carolina Bonilla
- Departamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, SP, 01246-903, Brazil
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, United Kingdom
| | - Vinicius Albuquerque Sortica
- Departamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, SP, 01246-903, Brazil
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil
- Serviço de Genética Médica, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, 90035-903, Brazil
| | - Alicia Matijasevich
- Departamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, SP, 01246-903, Brazil
| | - Mário C Scheffer
- Departamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, SP, 01246-903, Brazil
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9
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Paixao ES, Rodrigues LC, Costa MDCN, de Carvalho-Sauer RDCO, Oliveira WK, Cardim LL, Schuler-Faccini L, Andrade RFS, Rodrigues MS, Brickley EB, Veiga RV, Costa LC, Carmo EH, Smeeth L, Barreto ML, Teixeira MG. Population-based surveillance for congenital zika virus syndrome: a latent class analysis of recorded cases from 2015-2018. BMC Pregnancy Childbirth 2022; 22:530. [PMID: 35768806 PMCID: PMC9245223 DOI: 10.1186/s12884-022-04860-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 06/20/2022] [Indexed: 11/24/2022] Open
Abstract
Objective This study aims to describe clinical findings and determine the medium-term survival of congenital zika syndrome (CZS) suspected cases. Methods A retrospective cohort study using routine register-based linked data. It included all suspected cases of CZS born in Brazil from January 1, 2015, to December 31, 2018, and followed up from birth until death, 36 months, or December 31, 2018, whichever came first. Latent class analysis was used to cluster unconfirmed cases into classes with similar combinations of anthropometry at birth, imaging findings, maternally reported rash, region, and year of birth. Kaplan–Meier curves were plotted, and Cox proportional hazards models were fitted to determine mortality up to 36 months. Results We followed 11,850 suspected cases of CZS, of which 28.3% were confirmed, 9.3% inconclusive and 62.4% unconfirmed. Confirmed cases had almost two times higher mortality when compared with unconfirmed cases. Among unconfirmed cases, we identified three distinct clusters with different mortality trajectories. The highest mortality risk was observed in those with abnormal imaging findings compatible with congenital infections (HR = 12.6; IC95%8.8–18.0) and other abnormalities (HR = 11.6; IC95%8.6–15.6) compared with those with normal imaging findings. The risk was high in those with severe microcephaly (HR = 8.2; IC95%6.4–10.6) and macrocephaly (HR = 6.6; IC95%4.5–9.7) compared with normal head size. Conclusion Abnormal imaging and head circumference appear to be the main drivers of the increased mortality among suspected cases of CZS. We suggest identifying children who are more likely to die and have a greater need to optimise interventions and resource allocation regardless of the final diagnoses. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-022-04860-3.
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Affiliation(s)
- Enny S Paixao
- London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK. .,Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.
| | - Laura C Rodrigues
- London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK.,Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil
| | - Maria da Conceição N Costa
- Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.,Instituto de Saude Coletiva, Federal University of Bahia, Salvador, Bahia, Brazil
| | | | - Wanderson K Oliveira
- Ministry of Defense Hospital das Armed Forces, Technical Directorate of Education and Research, Brasília, Brazil
| | - Luciana L Cardim
- Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil
| | - Lavinia Schuler-Faccini
- Genetics Department, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Rio Grande do Sul, Brazil.,Medical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
| | - Roberto F S Andrade
- Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil
| | - Moreno S Rodrigues
- Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil
| | | | - Rafael V Veiga
- Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil
| | - Larissa C Costa
- Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil
| | - Eduardo H Carmo
- Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil
| | - Liam Smeeth
- London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK
| | - Mauricio L Barreto
- Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.,Instituto de Saude Coletiva, Federal University of Bahia, Salvador, Bahia, Brazil
| | - Maria Gloria Teixeira
- Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.,Instituto de Saude Coletiva, Federal University of Bahia, Salvador, Bahia, Brazil
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10
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Mendoza-Revilla J, Chacón-Duque JC, Fuentes-Guajardo M, Ormond L, Wang K, Hurtado M, Villegas V, Granja V, Acuña-Alonzo V, Jaramillo C, Arias W, Barquera R, Gómez-Valdés J, Villamil-Ramírez H, Silva de Cerqueira CC, Badillo Rivera KM, Nieves-Colón MA, Gignoux CR, Wojcik GL, Moreno-Estrada A, Hünemeier T, Ramallo V, Schuler-Faccini L, Gonzalez-José R, Bortolini MC, Canizales-Quinteros S, Gallo C, Poletti G, Bedoya G, Rothhammer F, Balding D, Fumagalli M, Adhikari K, Ruiz-Linares A, Hellenthal G. Disentangling Signatures of Selection Before and After European Colonization in Latin Americans. Mol Biol Evol 2022; 39:6565306. [PMID: 35460423 PMCID: PMC9034689 DOI: 10.1093/molbev/msac076] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Throughout human evolutionary history, large-scale migrations have led to intermixing (i.e., admixture) between previously separated human groups. Although classical and recent work have shown that studying admixture can yield novel historical insights, the extent to which this process contributed to adaptation remains underexplored. Here, we introduce a novel statistical model, specific to admixed populations, that identifies loci under selection while determining whether the selection likely occurred post-admixture or prior to admixture in one of the ancestral source populations. Through extensive simulations, we show that this method is able to detect selection, even in recently formed admixed populations, and to accurately differentiate between selection occurring in the ancestral or admixed population. We apply this method to genome-wide SNP data of ∼4,000 individuals in five admixed Latin American cohorts from Brazil, Chile, Colombia, Mexico, and Peru. Our approach replicates previous reports of selection in the human leukocyte antigen region that are consistent with selection post-admixture. We also report novel signals of selection in genomic regions spanning 47 genes, reinforcing many of these signals with an alternative, commonly used local-ancestry-inference approach. These signals include several genes involved in immunity, which may reflect responses to endemic pathogens of the Americas and to the challenge of infectious disease brought by European contact. In addition, some of the strongest signals inferred to be under selection in the Native American ancestral groups of modern Latin Americans overlap with genes implicated in energy metabolism phenotypes, plausibly reflecting adaptations to novel dietary sources available in the Americas.
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Affiliation(s)
- Javier Mendoza-Revilla
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.,Human Evolutionary Genetics Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.,Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - J Camilo Chacón-Duque
- Centre for Palaeogenetics, Stockholm, Sweden.,Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Macarena Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, Chile
| | - Louise Ormond
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
| | - Ke Wang
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.,Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | | | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia
| | - Rodrigo Barquera
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.,National School of Anthropology and History, Mexico City, Mexico
| | | | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, Mexico.,Universidad Nacional Autónoma de México e Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | | | | | - Maria A Nieves-Colón
- Department of Anthropology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Christopher R Gignoux
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Genevieve L Wojcik
- Bloomberg School of Public Health, John Hopkins University, Baltimore, MD, USA
| | - Andrés Moreno-Estrada
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Tábita Hünemeier
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Department of Genetics and Evolutionary Biology, University of São Paulo, São Paulo, Brazil
| | - Virginia Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Instituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
| | | | - Rolando Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, Mexico.,Universidad Nacional Autónoma de México e Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia
| | | | - David Balding
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.,Schools of BioSciences and Mathematics & Statistics, University of Melbourne, Melbourne, Australia
| | - Matteo Fumagalli
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Kaustubh Adhikari
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, United Kingdom
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.,Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, China.,Aix-Marseille Université, CNRS, EFS, ADES, Marseille, France
| | - Garrett Hellenthal
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
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11
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Ferreira DTDO, Atanaka M, Martinez Espinosa M, Schuler-Faccini L, da Silva Caldeira A, da Silva JH, Vivi-Oliveira VK, de Castro da Paz R, do Nascimento VF, Terças-Trettel ACP. Recent dengue virus infection: epidemiological survey on risk factors associated with infection in a medium-sized city in Mato Grosso. SAO PAULO MED J 2022; 140:33-41. [PMID: 34852169 PMCID: PMC9623843 DOI: 10.1590/1516-3180.2020.0718.r1.18052021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 05/18/2021] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Dengue is considered to be the most important arbovirus worldwide, with important complications that increase its lethality. In Brazil, an endemic country, the disease reaches significant incidence levels, with occurrences of serious cases and high costs of hospitalizations for its treatment. OBJECTIVE To analyze risk factors among individuals with recent histories of dengue infection in a medium-sized city in Mato Grosso. DESIGN AND SETTING Descriptive cross-sectional study, of epidemiological-survey type, conducted among the urban population of a city located in mid-northern Mato Grosso. METHODS A seroepidemiological survey using questionnaires and collection of biological material was conducted among 596 adults aged ≥ 18 years who had been selected through a cluster sampling process. Positive dengue cases were those with positive results from anti-dengue immunoassays (ELISA). Statistical analyses with descriptive and inferential techniques were used, with 95% confidence intervals and a 5% significance level. RESULTS The seroepidemiological profile of the study participants was predominantly female, with ages between 18 and 39 years, self-declared non-white race/color, not more than eight years of education and not living with a companion. Among the sanitary factors analyzed, the following were risk factors for dengue virus infection: no running water at home; no water supply from the public piped network; no waste from drains or toilets sent to the sewage network; endemic disease combat agents visiting the home; and presence of mosquito breeding sites at home. CONCLUSION Low schooling levels and previous dengue virus infection were associated with current dengue virus infection.
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Affiliation(s)
- Dandára Thaís de Oliveira Ferreira
- MSc. Nutritionist and Public Manager, Storage and Distribution Center for Medicines and Supplies of the Municipal Health Department, Várzea Grande (MT), Brazil.
| | - Marina Atanaka
- PhD. Nurse and Associate Professor IV, Postgraduate Program on Collective Health, Universidade Federal de Mato Grosso (UFMT), Cuiabá campus, Cuiabá (MT), Brazil.
| | - Mariano Martinez Espinosa
- PhD. Statistician and Associate Professor IV, Postgraduate Program on Collective Health, Universidade Federal de Mato Grosso (UFMT), Cuiabá campus, Cuiabá (MT), Brazil.
| | - Lavinia Schuler-Faccini
- MD, PhD. Full Professor, Department of Genetics, Universidade Federal do Rio Grande do Sul (UFRS), Porto Alegre (RS), Brazil.
| | | | - Juliana Herrero da Silva
- MSc. Nurse and Technical Manager, Municipal Epidemiological Surveillance Department, Tangará da Serra (MT), Brazil.
| | | | - Rayana de Castro da Paz
- Specialist. Pharmacist, Biochemist and Technical Consultant, General Coordination Office for Health Laboratories, Health Surveillance Department, Ministry of Health, Brasília (DF), Brazil.
| | - Vagner Ferreira do Nascimento
- PhD. Nurse and Adjunct Professor II, Universidade do Estado de Mato Grosso (UNEMAT), Tangará da Serra campus, Tangará da Serra (MT), Brazil.
| | - Ana Cláudia Pereira Terças-Trettel
- PhD. Nurse and Adjunct Professor, Universidade do Estado de Mato Grosso (UNEMAT), Tangará da Serra campus, Tangará da Serra (MT), Brazil; and Permanent Professor, Postgraduate Program on Collective Health, Universidade Federal de Mato Grosso (UFMT), Cuiabá campus, Cuiabá (MT), Brazil.
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12
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Navarro JP, Espinosa MM, Terças-Trettel ACP, Silva JHD, Schuler-Faccini L, Atanaka M. Knowledge and actions for the control of the vector Aedes aegypti in a municipality in the Legal Amazon. Rev Inst Med Trop Sao Paulo 2021; 63:e64. [PMID: 34406289 PMCID: PMC8376272 DOI: 10.1590/s1678-9946202163064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/20/2021] [Indexed: 11/22/2022] Open
Abstract
Infections caused by arboviruses that have mostly impacted the Brazilian
morbidity and mortality are caused by the same vector, Aedes
aegypti. Preventive actions related to the vector are the most
effective strategies in the prevention and control of these diseases. This study
aimed to associate the knowledge on the vector that transmits dengue, Zika and
chikungunya with the sociodemographic and behavioral preventive practices
towards Aedes aegypti in the municipality of Tangara da Serra,
Mato Grosso State, in the Brazilian Legal Amazon. A probabilistic urban
population sampling was obtained by clusters: census sectors and households. The
sample size calculation considered 10% of loss and a 1.5 design effect. This is
a cross-sectional research carried out through a household survey in February
and March 2018. There were 583 participants. The study variables were knowledge
on the vector, sociodemographic characteristics and preventive practices related
to the vector. The statistical analysis was based on a bivariate analysis and
Poisson multiple regressions. Inadequate or insufficient knowledge on the vector
Aedes aegypti remained associated with education in the
categories illiterate (p<0.001) and 8 years of study or less (p<0.001), in
addition to not adopting practices of capping and cleaning the water tank
(p=0.002) and not using insecticides at home (p=0.007). It is concluded that
there is a need for health communication actions that consider characteristics
the population, especially the level of education and previous knowledge on the
vector, allowing a dialogical approach and enabling the community participation
in preventive practices and control of the vector Aedes aegypti
.
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Affiliation(s)
- Jacqueline Pimenta Navarro
- Universidade Federal de Mato Grosso, Programa de Pós-Graduação em Saúde Coletiva, Cuiabá, Mato Grosso, Brazil
| | - Mariano Martinez Espinosa
- Universidade Federal de Mato Grosso, Programa de Pós-Graduação em Saúde Coletiva, Cuiabá, Mato Grosso, Brazil
| | - Ana Cláudia Pereira Terças-Trettel
- Universidade Federal de Mato Grosso, Programa de Pós-Graduação em Saúde Coletiva, Cuiabá, Mato Grosso, Brazil.,Universidade do Estado de Mato Grosso, Campus de Tangará da Serra, Departamento de Enfermagem, Tangará da Serra, Mato Grosso, Brazil
| | | | - Lavinia Schuler-Faccini
- Universidade Federal do Rio Grande do Sul, Departamento de Genética, Pelotas, Rio Grande do Sul, Brazil
| | - Marina Atanaka
- Universidade Federal de Mato Grosso, Programa de Pós-Graduação em Saúde Coletiva, Cuiabá, Mato Grosso, Brazil
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13
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Santa Maria FD, De Oliveira BM, Schuler-Faccini L. A importância da Odontologia na assistência a indivíduos com defeitos congênitos. R Fac Odontol Porto Alegre 2021. [DOI: 10.22456/2177-0018.108870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Introduction: Birth defects are structural or functional changes that occur during intrauterine life. The dentist must recognize the craniofacial defects, complement the phenotypic characterization and manage them within a multidisciplinary team. The present review aims to assist the dentist to diagnose these findings and present syndromic conditions typically associated with craniofacial malformations
Literature Review: Craniofacial manifestations of birth defects are conditions that must be recognized by dentists, as they are frequently present in their daily practices, and this professional may be the first to identify such findings. The main syndromic clinical pictures typically associated with micrognathia, oral clefts and skeletal dysplasias with craniofacial manifestation are presented, pointing out their clinical and genetic features. Discussion: The dentist must perform a detailed anamnesis including family history, as well as should recognize both clinical and radiographically the dysmorphisms, observing the patient systemically. Conclusion: Dentistry professionals should receive theoretical-practical training for the diagnosis, treatment and surveillance of individuals with congenital defects, either in individual assessment or as part of a multiprofessional team.
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14
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de Matos SMS, Hennigen AF, Wachholz GE, Rengel BD, Schuler-Faccini L, Roehe PM, Varela APM, Fraga LR. Possible Emergence of Zika Virus of African Lineage in Brazil and the Risk for New Outbreaks. Front Cell Infect Microbiol 2021; 11:680025. [PMID: 34368011 PMCID: PMC8342935 DOI: 10.3389/fcimb.2021.680025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 05/25/2021] [Indexed: 12/15/2022] Open
Affiliation(s)
- Sophia Martins Simon de Matos
- Laboratory of Genomic Medicine, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - André Ferreira Hennigen
- Laboratory of Virology, Department of Microbiology, Immunology and Parasitology, Institute of Health Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Gabriela Elis Wachholz
- Laboratory of Genomic Medicine, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Postgraduate Program in Genetics and Molecular Biology, Department of Genetics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Teratogen Information Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Bruna Duarte Rengel
- Laboratory of Genomic Medicine, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Postgraduate Program in Genetics and Molecular Biology, Department of Genetics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Teratogen Information Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Lavinia Schuler-Faccini
- Postgraduate Program in Genetics and Molecular Biology, Department of Genetics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Teratogen Information Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Paulo Michel Roehe
- Laboratory of Virology, Department of Microbiology, Immunology and Parasitology, Institute of Health Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Ana Paula Muterle Varela
- Postgraduate Program in Bioscience, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil
| | - Lucas Rosa Fraga
- Laboratory of Genomic Medicine, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Teratogen Information Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Department of Morphological Sciences, Institute of Health Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Postgraduate Program in Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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15
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Herry CL, Soares HMF, Schuler-Faccini L, Frasch MG. Machine learning model on heart rate variability metrics identifies asymptomatic toddlers exposed to zika virus during pregnancy. Physiol Meas 2021; 42. [PMID: 33984844 DOI: 10.1088/1361-6579/ac010e] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 05/13/2021] [Indexed: 12/27/2022]
Abstract
Objective. Although the Zika virus (ZIKV) seems to be prominently neurotropic, there are some reports of involvement of other organs, particularly the heart. Of special concern are those children exposed prenatally to ZIKV and born without microcephaly or other congenital anomalies. Electrocardiogram (ECG)-derived heart rate variability (HRV) metrics represent an attractive, low-cost, widely deployable tool for early identification of developmental functional alterations in exposed children born without such overt clinical symptoms. We hypothesized that HRV in such children would yield a biomarker of fetal ZIKV exposure. Our objective was to test this hypothesis in young children exposed to ZIKV during pregnancy.Approach. We investigated the HRV properties of 21 children aged 4-25 months from Brazil. The infants were divided into two groups, the ZIKV-exposed (n = 13) and controls (n = 8). Single-channel ECG was recorded in each child at ∼15 months of age and HRV was analyzed in 5 min segments to provide a comprehensive characterization of the degree of variability and complexity of the heart rate.Main results.Using a cubic support vector machine classifier we identified babies as Zika cases or controls with a negative predictive value of 92% and a positive predictive value of 86%. Our results show that a machine learning model derived from HRV metrics can help differentiate between ZIKV-affected, yet asymptomatic, and non-ZIKV-exposed babies. We identified the box count as the best HRV metric in this study allowing such differentiation, regardless of the presence of microcephaly.Significance.We show that it is feasible to measure HRV in infants and toddlers using a small non-invasive portable ECG device and that such an approach may uncover the memory ofin uteroexposure to ZIKV. We discuss putative mechanisms. This approach may be useful for future studies and low-cost screening tools involving this challenging to examine population.
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Affiliation(s)
| | - Helena M F Soares
- INAGEMP-Departamento de Genética-Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Brazil
| | - Lavinia Schuler-Faccini
- INAGEMP-Departamento de Genética-Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Brazil
| | - Martin G Frasch
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, United States of America
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16
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Marcolongo Pereira C, Silva TB, Roque LZ, Barros B, Moscon LA, Schild AL, Barros CSL, Schüler-Faccini L, Schuler-Faccini L. Aprosopia/holoprosencephaly in a stillborn puppy: when the face predicts the brain. Int J Vet Sci Med 2021; 9:7-10. [PMID: 33869624 PMCID: PMC8008928 DOI: 10.1080/23144599.2021.1897740] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
In a litter of three puppies, one was stillborn and had facial and brain defects. Fusion of the maxilla and mandible and absence of the face were observed. The forebrain (telencephalon and the diencephalon) was reduced in size and fused, and the telencephalic longitudinal fissure, olfactory bulbs, and optic nerves were absent (Figures 6 and 7). Lissencephaly was observed in the telencephalon and cerebellum. A diagnosis of aprosopia/holoprosencephaly was made.
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Affiliation(s)
| | - Tayná B Silva
- Faculdade de Medicina Veterinária, Centro Universitário do Espírito Santo (UNESC), Colatina, ES, Brazi
| | - Laiz Zaché Roque
- Faculdade de Medicina Veterinária, Centro Universitário do Espírito Santo (UNESC), Colatina, ES, Brazi
| | - Bárbara Barros
- Faculdade de Medicina Veterinária, Centro Universitário do Espírito Santo (UNESC), Colatina, ES, Brazi
| | - Luiz Alexandre Moscon
- Faculdade de Medicina Veterinária, Centro Universitário do Espírito Santo (UNESC), Colatina, ES, Brazi
| | - Ana Lucia Schild
- Laboratório Regional de Diagnóstico, Faculdade de Veterinária, Universidade Federal de Pelotas (UFPel), Capão do Leão, Brazil
| | - Claudio S L Barros
- Laboratório de Anatomia Patológica, Universidade Federal de Mato Grosso do Sul (UFMS), Campo Grande, MS, Brazil
| | - Leonardo Schüler-Faccini
- Departamento de Genética, Serviço deGenética Médica Populacional (INAGEMP), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Serviço deGenética Médica Populacional (INAGEMP), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
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17
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Veiga RV, Schuler-Faccini L, França GVA, Andrade RFS, Teixeira MG, Costa LC, Paixão ES, Costa MDCN, Barreto ML, Oliveira JF, Oliveira WK, Cardim LL, Rodrigues MS. Classification algorithm for congenital Zika Syndrome: characterizations, diagnosis and validation. Sci Rep 2021; 11:6770. [PMID: 33762667 PMCID: PMC7990918 DOI: 10.1038/s41598-021-86361-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 03/09/2021] [Indexed: 11/09/2022] Open
Abstract
Zika virus was responsible for the microcephaly epidemic in Brazil which began in October 2015 and brought great challenges to the scientific community and health professionals in terms of diagnosis and classification. Due to the difficulties in correctly identifying Zika cases, it is necessary to develop an automatic procedure to classify the probability of a CZS case from the clinical data. This work presents a machine learning algorithm capable of achieving this from structured and unstructured available data. The proposed algorithm reached 83% accuracy with textual information in medical records and image reports and 76% accuracy in classifying data without textual information. Therefore, the proposed algorithm has the potential to classify CZS cases in order to clarify the real effects of this epidemic, as well as to contribute to health surveillance in monitoring possible future epidemics.
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Affiliation(s)
- Rafael V Veiga
- Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil. .,Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
| | | | | | - Roberto F S Andrade
- Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.,Instituto de Física, Universidade Federal da Bahia, Salvador, Bahia, Brazil
| | - Maria Glória Teixeira
- Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.,Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil
| | - Larissa C Costa
- Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil
| | - Enny S Paixão
- Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.,London School of Hygiene and Tropical Medicine, London, England, United Kingdom
| | - Maria da Conceição N Costa
- Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.,Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil
| | - Maurício L Barreto
- Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil
| | - Juliane F Oliveira
- Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.,Department of Mathematics, Centre of Mathematics of the University of Porto (CMUP), Porto, Portugal
| | - Wanderson K Oliveira
- Hospital das Forças Armadas, Ministério da Defesa, Distrito Federal, Brasília, Brazil
| | - Luciana L Cardim
- Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil
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18
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Vianna FSL, Fraga LR, Abeche AM, Silva AAD, Sanseverino MTV, Schuler-Faccini L. COVID-19 during pregnancy and adverse outcomes: Concerns and recommendations from The Brazilian Teratology Information Service. Genet Mol Biol 2021; 44:e20200224. [PMID: 33710249 PMCID: PMC7953204 DOI: 10.1590/1678-4685-gmb-2020-0224] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 01/17/2021] [Indexed: 12/25/2022] Open
Abstract
SARS-CoV-2 virus was first identified in the beginning of 2020 and has spread all over the world, causing the Coronavirus Disease 2019 (COVID-19) pandemic. The virus is a member of the Coronavirus family, which includes viruses that cause common cold, Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). MERS and SARS are known by causing adverse events in pregnancy. Considering that SARS-CoV-2 is a new infection agent, little is known about the risk of its infection to human embryo/fetal development. However, SARS and MERS were associated with negative outcomes, such as miscarriage, preterm birth, intrauterine growth restriction and perinatal death. Here, we raise concerns and possibilities related the harmful potential of SARS-CoV-2 and COVID-19 to pregnancy, discussing symptoms, immunological changes during pregnancy, SARS-CoV-2 mutation rate (and the risks related to it). Finally, we point out recommendations to be performed by the scientific community and health care workers in order to identify and to manage potential risks to pregnant women and their babies.
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Affiliation(s)
- Fernanda Sales Luiz Vianna
- Universidade Federal do Rio Grande do Sul, Departamento de Genética, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Sistema Nacional de Informações sobre Agentes Teratogênicos, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Laboratório de Medicina Genômica, Serviço de Pesquisa Experimental, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Programa de Pós-Graduação em Ciências Médicas, Porto Alegre, RS, Brazil
| | - Lucas Rosa Fraga
- Hospital de Clínicas de Porto Alegre, Sistema Nacional de Informações sobre Agentes Teratogênicos, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Laboratório de Medicina Genômica, Serviço de Pesquisa Experimental, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Programa de Pós-Graduação em Ciências Médicas, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Instituto de Ciências Básicas da Saúde, Departamento de Ciências Morfológicas, Porto Alegre, RS, Brazil
| | - Alberto Mantovani Abeche
- Hospital de Clínicas de Porto Alegre, Sistema Nacional de Informações sobre Agentes Teratogênicos, Porto Alegre, RS, Brazil
| | - André Anjos Da Silva
- Hospital de Clínicas de Porto Alegre, Sistema Nacional de Informações sobre Agentes Teratogênicos, Porto Alegre, RS, Brazil
- Universidade do Vale do Taquari (Univates), Programa de Pós Graduação em Ciências Médicas, Lajeado, RS, Brazil
| | - Maria Teresa Vieira Sanseverino
- Universidade Federal do Rio Grande do Sul, Departamento de Genética, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Sistema Nacional de Informações sobre Agentes Teratogênicos, Porto Alegre, RS, Brazil
| | - Lavinia Schuler-Faccini
- Universidade Federal do Rio Grande do Sul, Departamento de Genética, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Sistema Nacional de Informações sobre Agentes Teratogênicos, Porto Alegre, RS, Brazil
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19
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Arruda AP, Cardoso-Dos-Santos AC, Mariath LM, Feira MF, Kowalski TW, Bezerra KRF, da Silva LACT, Ribeiro EM, Schuler-Faccini L. A large family with CYLD cutaneous syndrome: medical genetics at the community level. J Community Genet 2020; 11:279-284. [PMID: 31792733 PMCID: PMC7295879 DOI: 10.1007/s12687-019-00447-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 11/12/2019] [Indexed: 01/12/2023] Open
Abstract
Germline mutations in the cylindromatosis gene (CYLD) are associated with a rare autosomal dominant disease known as CYLD cutaneous syndrome (CCS). Patients present multiple neoplasms originating from skin appendages. Here, we investigated the main clinical and molecular features of a large family with CCS having lived in a small Brazilian town for 6 generations, making its prevalence significantly high. We observed a predominance of the disease among males and a wide phenotypic variation. A high frequency of basal cell carcinomas among affected people was found. The mutation c.2806C>T, p.Arg936* in the CYLD gene was detected in all patients. In this work, a geographical cluster of CCS was found, which raised some community genetics issues related not only to the high prevalence of a rare disease in a limited area but also to the strong social stigma associated with the disease.
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Affiliation(s)
- Anderson Pontes Arruda
- Post-graduate Program in Genetics and Molecular Biology, Department of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil
| | - Augusto César Cardoso-Dos-Santos
- Post-graduate Program in Genetics and Molecular Biology, Department of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil
| | - Luiza Monteavaro Mariath
- Post-graduate Program in Genetics and Molecular Biology, Department of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil
| | - Mariléa Furtado Feira
- Post-graduate Program in Genetics and Molecular Biology, Department of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil
| | - Thayne Woycinck Kowalski
- Post-graduate Program in Genetics and Molecular Biology, Department of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil
| | | | | | | | - Lavinia Schuler-Faccini
- Post-graduate Program in Genetics and Molecular Biology, Department of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil.
- Department of Genetics, INAGEMP-Instituto Nacional de Genética Médica, Universidade Federal do Rio Grande do Sul, 91501, Porto Alegre, RS, -970, Brazil.
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20
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Mores GB, Schuler-Faccini L, Hasenack H, Fetzer LO, Souza GD, Ferraz G. Site Occupancy by Aedes aegypti in a Subtropical City is Most Sensitive to Control during Autumn and Winter Months. Am J Trop Med Hyg 2020; 103:445-454. [PMID: 32394876 DOI: 10.4269/ajtmh.19-0366] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The Aedes aegypti mosquito inhabits most tropical and subtropical regions of the globe, where it transmits arboviral diseases of substantial public health relevance, such as dengue fever. In subtropical regions, Ae. aegypti often presents an annual abundance cycle driven by weather conditions. Because different population states may show varying responses to control, we are interested in studying what time of the year is most appropriate for control. To do so, we developed two dynamic site-occupancy models based on more than 200 weeks of mosquito trapping data from nearly 900 sites in a subtropical Brazilian city. Our phenomenological, Markovian models, fitted to data in a Bayesian framework, accounted for failure to detect mosquitoes in two alternative ways and for temporal variation in dynamic rates of local extinction and colonization of new sites. Infestation varied from nearly full cover of the city area in late summer, to between 10% and 67% of sites occupied in winter depending on the model. Sensitivity analysis reveals that changes in dynamic rates should have the greatest impact on site occupancy during autumn and early winter months, when the mosquito population is declining. We discuss the implications of this finding to the timing of mosquito control.
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Affiliation(s)
- Guilherme Barradas Mores
- Programa de Pós-Graduação em Ecologia, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Hospital de Clínicas de Porto Alegre, Serviço de Genética Médica, Porto Alegre, Brazil.,INAGEMP, Instituto Nacional de Genetica Medica Populacional, Porto Alegre, Brazil
| | - Heinrich Hasenack
- Departamento de Ecologia, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Liane Oliveira Fetzer
- Núcleo de Vigilância de Roedores e Vetores, Diretoria Geral de Vigilância em Saúde, Secretaria Municipal de Saúde de Porto Alegre, Porto Alegre, Brazil
| | - Getúlio Dornelles Souza
- Núcleo de Vigilância de Roedores e Vetores, Diretoria Geral de Vigilância em Saúde, Secretaria Municipal de Saúde de Porto Alegre, Porto Alegre, Brazil
| | - Gonçalo Ferraz
- Programa de Pós-Graduação em Ecologia, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Departamento de Ecologia, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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21
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Cardoso-Dos-Santos AC, Oliveira Silva T, Silveira Faccini A, Woycinck Kowalski T, Bertoli-Avella A, Morales Saute JA, Schuler-Faccini L, de Oliveira Poswar F. Novel AHDC1 Gene Mutation in a Brazilian Individual: Implications of Xia-Gibbs Syndrome. Mol Syndromol 2020; 11:24-29. [PMID: 32256298 DOI: 10.1159/000505843] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/04/2019] [Indexed: 12/18/2022] Open
Abstract
Xia-Gibbs syndrome (XGS) is a rare neurological disorder characterized by global developmental delay, hypotonia, intellectual disability, seizures, and sleep apnea. XGS is defined by monoallelic pathogenic variants in AHDC1. In this study, we identified a Brazilian patient carrying a likely de novo AHDC1 nonsense mutation (c.451C>T; p.Arg151*) which was absent in both parents. All disease-causative variants already associated with XGS have been reviewed and the mutation described here corresponds to the closest one to the N-terminal region. Our findings were discussed based on the suggested genotype-phenotype correlation of the disease.
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Affiliation(s)
| | - Thiago Oliveira Silva
- Medical Genetics Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | | | | | - Jonas A Morales Saute
- Medical Genetics Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Internal Medicine Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Lavinia Schuler-Faccini
- Genetics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Medical Genetics Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
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22
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Kowalski TW, Gomes JDA, Garcia GBC, Fraga LR, Paixao-Cortes VR, Recamonde-Mendoza M, Sanseverino MTV, Schuler-Faccini L, Vianna FSL. CRL4-Cereblon complex in Thalidomide Embryopathy: a translational investigation. Sci Rep 2020; 10:851. [PMID: 31964914 PMCID: PMC6972723 DOI: 10.1038/s41598-020-57512-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 12/28/2019] [Indexed: 01/13/2023] Open
Abstract
The Cereblon-CRL4 complex has been studied predominantly with regards to thalidomide treatment of multiple myeloma. Nevertheless, the role of Cereblon-CRL4 in Thalidomide Embryopathy (TE) is still not understood. Not all embryos exposed to thalidomide develop TE, hence here we evaluate the role of the CRL4-Cereblon complex in TE variability and susceptibility. We sequenced CRBN, DDB1, CUL4A, IKZF1, and IKZF3 in individuals with TE. To better interpret the variants, we suggested a score and a heatmap comprising their regulatory effect. Differential gene expression after thalidomide exposure and conservation of the CRL4-Cereblon protein complex were accessed from public repositories. Results suggest a summation effect of Cereblon variants on pre-axial longitudinal limb anomalies, and heatmap scores identify the CUL4A variant rs138961957 as potentially having an effect on TE susceptibility. CRL4-Cereblon gene expression after thalidomide exposure and CLR4-Cereblon protein conservation does not explain the difference in Thalidomide sensitivity between species. In conclusion, we suggest that CRL4-Cereblon variants act through several regulatory mechanisms, which may influence CRL4-Cereblon complex assembly and its ability to bind thalidomide. Human genetic variability must be addressed not only to further understand the susceptibility to TE, but as a crucial element in therapeutics, including in the development of pharmacogenomics strategies.
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Affiliation(s)
- Thayne Woycinck Kowalski
- Postgraduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. .,Laboratory of Medical and Population Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. .,National Institute of Population Medical Genetics (INAGEMP), Porto Alegre, Brazil. .,Genomic Medicine Laboratory, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil. .,National System of Information on Teratogenic Agents (SIAT), Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil. .,Complexo de Ensino Superior de Cachoeirinha (CESUCA), Cachoeirinha, Brazil.
| | - Julia do Amaral Gomes
- Postgraduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,Laboratory of Medical and Population Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,National Institute of Population Medical Genetics (INAGEMP), Porto Alegre, Brazil.,Genomic Medicine Laboratory, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.,National System of Information on Teratogenic Agents (SIAT), Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Gabriela Barreto Caldas Garcia
- Postgraduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Lucas Rosa Fraga
- Laboratory of Medical and Population Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,National Institute of Population Medical Genetics (INAGEMP), Porto Alegre, Brazil.,Genomic Medicine Laboratory, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.,National System of Information on Teratogenic Agents (SIAT), Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.,Department of Morphological Sciences, Institute of Health Sciences, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | | | - Mariana Recamonde-Mendoza
- Institute of Informatics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,Bioinformatics Core, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Maria Teresa Vieira Sanseverino
- Postgraduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,Laboratory of Medical and Population Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,National Institute of Population Medical Genetics (INAGEMP), Porto Alegre, Brazil.,National System of Information on Teratogenic Agents (SIAT), Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.,School of Medicine - Pontificia Universidade Catolica do Rio Grande do Sul, Porto Alegre, Brazil
| | - Lavinia Schuler-Faccini
- Postgraduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,Laboratory of Medical and Population Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,National Institute of Population Medical Genetics (INAGEMP), Porto Alegre, Brazil.,National System of Information on Teratogenic Agents (SIAT), Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Fernanda Sales Luiz Vianna
- Postgraduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. .,Laboratory of Medical and Population Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. .,National Institute of Population Medical Genetics (INAGEMP), Porto Alegre, Brazil. .,Genomic Medicine Laboratory, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil. .,National System of Information on Teratogenic Agents (SIAT), Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil. .,Immunobiology and Immunogenetics Laboratory, Departamento de Genética, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
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23
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Adhikari K, Mendoza-Revilla J, Sohail A, Fuentes-Guajardo M, Lampert J, Chacón-Duque JC, Hurtado M, Villegas V, Granja V, Acuña-Alonzo V, Jaramillo C, Arias W, Lozano RB, Everardo P, Gómez-Valdés J, Villamil-Ramírez H, Silva de Cerqueira CC, Hunemeier T, Ramallo V, Schuler-Faccini L, Salzano FM, Gonzalez-José R, Bortolini MC, Canizales-Quinteros S, Gallo C, Poletti G, Bedoya G, Rothhammer F, Tobin DJ, Fumagalli M, Balding D, Ruiz-Linares A. A GWAS in Latin Americans highlights the convergent evolution of lighter skin pigmentation in Eurasia. Nat Commun 2019; 10:358. [PMID: 30664655 PMCID: PMC6341102 DOI: 10.1038/s41467-018-08147-0] [Citation(s) in RCA: 94] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 12/20/2018] [Indexed: 12/17/2022] Open
Abstract
We report a genome-wide association scan in >6,000 Latin Americans for pigmentation of skin and eyes. We found eighteen signals of association at twelve genomic regions. These include one novel locus for skin pigmentation (in 10q26) and three novel loci for eye pigmentation (in 1q32, 20q13 and 22q12). We demonstrate the presence of multiple independent signals of association in the 11q14 and 15q13 regions (comprising the GRM5/TYR and HERC2/OCA2 genes, respectively) and several epistatic interactions among independently associated alleles. Strongest association with skin pigmentation at 19p13 was observed for an Y182H missense variant (common only in East Asians and Native Americans) in MFSD12, a gene recently associated with skin pigmentation in Africans. We show that the frequency of the derived allele at Y182H is significantly correlated with lower solar radiation intensity in East Asia and infer that MFSD12 was under selection in East Asians, probably after their split from Europeans. Pigmentation variation in humans is influenced by complex genetic architecture in different populations. Here, the authors perform a genome-wide association analysis involving > 6,000 Latin Americans for pigmentation of skin and eyes, and identify known and novel genetic associations.
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Affiliation(s)
- Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
| | - Javier Mendoza-Revilla
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.,Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Anood Sohail
- Department of Genetics, Cambridge University, Cambridge, CB2 3EH, UK
| | - Macarena Fuentes-Guajardo
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.,Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, 1000000, Chile
| | - Jodie Lampert
- Department of Genetics and Genome Biology, University of Leicester, Leicester, LE1 7RH, UK
| | - Juan Camilo Chacón-Duque
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Victor Acuña-Alonzo
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.,National Institute of Anthropology and History, Mexico City, 4510, Mexico
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - Rodrigo Barquera Lozano
- National Institute of Anthropology and History, Mexico City, 4510, Mexico.,Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, 07745, Germany
| | - Paola Everardo
- National Institute of Anthropology and History, Mexico City, 4510, Mexico
| | - Jorge Gómez-Valdés
- National Institute of Anthropology and History, Mexico City, 4510, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, 4510, Mexico
| | - Caio C Silva de Cerqueira
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Tábita Hunemeier
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Virginia Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil.,Instituto Patagonico de Ciencias Sociales y Humanas, Centro Nacional Patagonico, CONICET, Puerto Madryn, U9129ACD, Argentina
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Francisco M Salzano
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Rolando Gonzalez-José
- Instituto Patagonico de Ciencias Sociales y Humanas, Centro Nacional Patagonico, CONICET, Puerto Madryn, U9129ACD, Argentina
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, 4510, Mexico
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapaca, Arica, 1000000, Chile.,Programa de Genetica Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, 8320000, Chile
| | - Desmond J Tobin
- Centre for Skin Sciences, Faculty of Life Sciences, University of Bradford, Bradford, BD7 1DP, West Yorkshire, UK.,The Charles Institute of Dermatology, University College Dublin, Dublin, D4, Ireland
| | - Matteo Fumagalli
- Department of Life Sciences, Silwood Park campus, Imperial College London, Ascot, SL5 7PY, UK
| | - David Balding
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.,Melbourne Integrative Genomics, Schools of BioSciences and Mathematics & Statistics, University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, 200438, China. .,Aix-Marseille Université, CNRS, EFS, ADES, Marseille, 13005, France.
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24
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Larrandaburu M, Vianna FL, Griot K, Queijo C, Monzón G, Ugarte C, Nacul L, Schuler-Faccini L, Sanseverino MTV. Rare Diseases in Uruguay: Focus on Infants with Abnormal Newborn Screening. J inborn errors metab screen 2019. [DOI: 10.1590/2326-4594-jiems-2019-0002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Mariela Larrandaburu
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Ministerio de Salud, Uruguay
| | - Fernanda L.S Vianna
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Hospital de Clinicas de Porto Alegre, Brazil; Instituto Nacional de Genética Médica Populacional, Brazil
| | | | - Cecilia Queijo
- Laboratorio de Pesquisa Neonatal del Instituto de la Seguridad Social, Uruguay
| | | | | | - Luis Nacul
- London School of Hygiene and Tropical Medicine School, United Kindom
| | - Lavinia Schuler-Faccini
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Hospital de Clinicas de Porto Alegre, Brazil; Instituto Nacional de Genética Médica Populacional, Brazil
| | - Maria Teresa V. Sanseverino
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Hospital de Clinicas de Porto Alegre, Brazil; Instituto Nacional de Genética Médica Populacional, Brazil; Pontificia Universidade Catolica do Rio Grande do Sul, Brazil
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25
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Magalhães ODA, Kowalski TW, Wachholz GE, Schuler-Faccini L. Whole-exome sequencing in familial keratoconus: the challenges of a genetically
complex disorder. Arq Bras Oftalmol 2019; 82:453-459. [DOI: 10.5935/0004-2749.20190087] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 01/01/2019] [Indexed: 11/20/2022] Open
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26
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Chacón-Duque JC, Adhikari K, Fuentes-Guajardo M, Mendoza-Revilla J, Acuña-Alonzo V, Barquera R, Quinto-Sánchez M, Gómez-Valdés J, Everardo Martínez P, Villamil-Ramírez H, Hünemeier T, Ramallo V, Silva de Cerqueira CC, Hurtado M, Villegas V, Granja V, Villena M, Vásquez R, Llop E, Sandoval JR, Salazar-Granara AA, Parolin ML, Sandoval K, Peñaloza-Espinosa RI, Rangel-Villalobos H, Winkler CA, Klitz W, Bravi C, Molina J, Corach D, Barrantes R, Gomes V, Resende C, Gusmão L, Amorim A, Xue Y, Dugoujon JM, Moral P, González-José R, Schuler-Faccini L, Salzano FM, Bortolini MC, Canizales-Quinteros S, Poletti G, Gallo C, Bedoya G, Rothhammer F, Balding D, Hellenthal G, Ruiz-Linares A. Latin Americans show wide-spread Converso ancestry and imprint of local Native ancestry on physical appearance. Nat Commun 2018; 9:5388. [PMID: 30568240 PMCID: PMC6300600 DOI: 10.1038/s41467-018-07748-z] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Accepted: 11/19/2018] [Indexed: 12/15/2022] Open
Abstract
Historical records and genetic analyses indicate that Latin Americans trace their ancestry mainly to the intermixing (admixture) of Native Americans, Europeans and Sub-Saharan Africans. Using novel haplotype-based methods, here we infer sub-continental ancestry in over 6,500 Latin Americans and evaluate the impact of regional ancestry variation on physical appearance. We find that Native American ancestry components in Latin Americans correspond geographically to the present-day genetic structure of Native groups, and that sources of non-Native ancestry, and admixture timings, match documented migratory flows. We also detect South/East Mediterranean ancestry across Latin America, probably stemming mostly from the clandestine colonial migration of Christian converts of non-European origin (Conversos). Furthermore, we find that ancestry related to highland (Central Andean) versus lowland (Mapuche) Natives is associated with variation in facial features, particularly nose morphology, and detect significant differences in allele frequencies between these groups at loci previously associated with nose morphology in this sample.
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Affiliation(s)
- Juan-Camilo Chacón-Duque
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
| | - Macarena Fuentes-Guajardo
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, 1000009, Chile
| | - Javier Mendoza-Revilla
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Victor Acuña-Alonzo
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia, Mexico City, 14030, Mexico
| | - Rodrigo Barquera
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia, Mexico City, 14030, Mexico
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, 07745, Germany
| | - Mirsha Quinto-Sánchez
- Ciencia Forense, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, 04510, Mexico
| | - Jorge Gómez-Valdés
- Posgrado en Antropología Física, Escuela Nacional de Antropología e Historia, Mexico City, 14030, Mexico
| | - Paola Everardo Martínez
- Posgrado en Antropología, Universidad Nacional Autónoma de México, Mexico City, 04510, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México e Instituto Nacional de Medicina Genómica, Mexico City, 04510, Mexico
| | - Tábita Hünemeier
- Departamento de Genética e Biología Evolutiva, Instituto de Biociências, Universidade de São Paulo, Sao Paulo, 05508-090, Brazil
| | - Virginia Ramallo
- Instituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn, U912OACD, Argentina
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Caio C Silva de Cerqueira
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Mercedes Villena
- Instituto Boliviano de Biología de Altura (IBBA), Universidad Mayor de San Andrés (UMSA), La Paz, 2070, Bolivia
| | - René Vásquez
- Instituto Boliviano de Biología de Altura (IBBA), Universidad Autónoma Tomás Frías, Potosí, 53820, Bolivia
| | - Elena Llop
- Programa de Genetica Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, 1027, Chile
| | - José R Sandoval
- Facultad de Medicina Humana, Universidad de San Martín de Porres, Lima, 12, Peru
| | | | - Maria-Laura Parolin
- Instituto de Diversidad y Evolución Austral (IDEAus), Centro Nacional Patagónico, CONICET, Puerto Madryn, U912OACD, Argentina
| | - Karla Sandoval
- National Laboratory of Genomics and Biodiversity (LANGEBIO), CINVESTAV, Irapuato, 36821, Mexico
| | - Rosenda I Peñaloza-Espinosa
- Department of Biological Systems, Division of Biological and Health Sciences, Universidad Autónoma Metropolitana-Xochimilco, Mexico City, 04960, Mexico
| | - Hector Rangel-Villalobos
- Instituto de Investigación en Genética Molecular, Universidad de Guadalajara, Ocotlán, 1115, Mexico
| | - Cheryl A Winkler
- Basic Research Laboratory, National Cancer Institute, Frederick National Laboratory, Frederick, MD, 21702, USA
| | - William Klitz
- Integrative Biology, University of California, Berkeley, CA, 94720, USA
| | - Claudio Bravi
- Instituto Multidisciplinario de Biología Celular, CONICET, La Plata, B1906APO, Argentina
| | - Julio Molina
- Centro de Investigaciones Biomédicas de Guatemala, Ciudad de Guatemala, 01011, Guatemala
| | - Daniel Corach
- Servicio de Huellas Digitales Genéticas and CONICET, Universidad de Buenos Aires, Buenos Aires, C1113AAD, Argentina
| | - Ramiro Barrantes
- Escuela de Biología, Universidad de Costa Rica, San José, 2060, Costa Rica
| | - Verónica Gomes
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), Porto, 4200-135, Portugal
- Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, 4200-135, Portugal
| | - Carlos Resende
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), Porto, 4200-135, Portugal
- Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, 4200-135, Portugal
| | - Leonor Gusmão
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), Porto, 4200-135, Portugal
- Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, 4200-135, Portugal
- DNA Diagnostic Laboratory (LDD), Universidade do Estado do Rio de Janeiro, Rio de Janeiro, 23968-000, Brazil
| | - Antonio Amorim
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), Porto, 4200-135, Portugal
- Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, 4200-135, Portugal
- Faculdade de Ciências, Universidade do Porto, Porto, 4169-007, Portugal
| | - Yali Xue
- The Wellcome Trust Sanger Institute, Hinxton, CB10 1SA, UK
| | - Jean-Michel Dugoujon
- Centre National de la Recherche Scientifique, Université Toulouse 3 Paul Sabatier, Toulouse, 31330, France
| | - Pedro Moral
- Departamento de Biología Evolutiva, Ecología y Ciencias Ambientales, Universitat de Barcelona, Barcelona, 08007, Spain
| | - Rolando González-José
- Instituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn, U912OACD, Argentina
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Francisco M Salzano
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México e Instituto Nacional de Medicina Genómica, Mexico City, 04510, Mexico
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Gabriel Bedoya
- Genética Molecular (GENMOL), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - Francisco Rothhammer
- Programa de Genetica Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, 1027, Chile
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, 1000009, Chile
| | - David Balding
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
- Schools of BioSciences and Mathematics & Statistics, University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Garrett Hellenthal
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, 200433, China.
- Aix-Marseille Univ, CNRS, EFS, ADES, Marseille, 13007, France.
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Oliveira-Klein MD, Cardoso-Dos-Santos AC, Tagliani-Ribeiro A, Fagundes NR, Matte U, Schuler-Faccini L. Lack of association between genetic polymorphisms in IGF1 and IGFBP3 with twin births in a Brazilian population (Cândido Godói, Rio Grande do Sul). Genet Mol Biol 2018; 41:775-780. [PMID: 30508002 PMCID: PMC6415603 DOI: 10.1590/1678-4685-gmb-2017-0263] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 03/03/2018] [Indexed: 11/22/2022] Open
Abstract
Insulin-like growth factor (IGF-1) is an important peptide hormone involved in the reproduction and fetal development of mammals, and it is suggested that it may influence the human twinning rate. This study aimed to test such possible association, investigating the genetic polymorphisms IGF1 (CA)n and IGFBP3 rs2854744 in the population from Candido Godoi (CG), a small city located in the South of Brazil that has a high prevalence of twin births. A case-control study was performed comprising a total of 39 cases (representing about 40% of the mothers of twins who were born in CG after 1995) and 214 controls (mothers of non-twin children), 97 of whom were living in CG while 117 were living in Porto Alegre. DNA was extracted from blood leucocytes and genotyping was performed. According to the statistical analyses, there was no significant difference in the frequencies of both studied genetic polymorphisms when comparing case group with control group. Thus, our results pointed to a lack of association between IGF1 (CA)n and IGFBP3 rs2854744 polymorphisms and twin births in CG, but further investigations in other populations with different characteristics must be performed to confirm the role of IGF-I in human twinning.
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Affiliation(s)
- Mariana de Oliveira-Klein
- Departmento de Genética, Instituto de Bociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | | | - Alice Tagliani-Ribeiro
- Departmento de Genética, Instituto de Bociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Nelson Rosa Fagundes
- Departmento de Genética, Instituto de Bociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Ursula Matte
- Departmento de Genética, Instituto de Bociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Instituto Nacional de Ciência e Tecnologia de Genética Médica Populacional(INaGeMP), Departmento de Genética, Instituto de Bociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Serviço de Genética Médica, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Lavinia Schuler-Faccini
- Departmento de Genética, Instituto de Bociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Instituto Nacional de Ciência e Tecnologia de Genética Médica Populacional(INaGeMP), Departmento de Genética, Instituto de Bociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Serviço de Genética Médica, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
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28
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Tovo-Rodrigues L, Schneider BC, Martins-Silva T, Del-Ponte B, Loret de Mola C, Schuler-Faccini L, Vianna FSL, Munhoz TN, Entiauspe L, Silveira MF, Santos IS, Matijasevich A, Barros AJD, Rohde LA, Bertoldi AD. Is intrauterine exposure to acetaminophen associated with emotional and hyperactivity problems during childhood? Findings from the 2004 Pelotas birth cohort. BMC Psychiatry 2018; 18:368. [PMID: 30458756 PMCID: PMC6245767 DOI: 10.1186/s12888-018-1942-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 10/25/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Longitudinal studies have consistently reported that prenatal exposure to acetaminophen can to lead to an increased risk of attention deficit-hyperactivity disorder during childhood. This study aimed to investigate the association between intrauterine exposure to acetaminophen and the presence of emotional and behavioral problems at the ages of 6 and 11 years in a low-middle income country. METHODS We performed a prospective longitudinal population-based study using data from the 2004 Pelotas birth cohort. From the 4231 initial cohort participants, 3722 and 3566 children were assessed at 6 and 11 years of age, respectively. The outcomes were assessed using the parent version of Strengths and Difficulties Questionnaire (SDQ). The cut-off points established for the Brazilian population were used to categorize the outcomes. Crude and adjusted odds ratio were obtained through logistic regression. RESULTS Acetaminophen was used by 27.5% (95% confidence interval [CI]: 26.1-28.9) of the mothers at least once during pregnancy. The prevalence of emotional problems at 6 and 11 years was 13.6 and 19.9%, respectively. For hyperactivity problems, prevalence was 13.9 and 16.1%, respectively. Intrauterine exposure to acetaminophen increased the odds of having emotional (odds ratio [OR] = 1.47; 95% CI: 1.07-2.02) and hyperactivity/inattention (OR = 1.42; 95% CI: 1.06-1.92) problems in 6-year-old boys. At the age of 11, a small decrease in the effect was observed for both outcomes after adjustment: OR = 1.31 (95% CI: 0.99-1.73) for emotional problems and OR = 1.25 (95% CI: 0.95-1.65) for hyperactivity/inattention in boys. No association for any phenotypes at both ages was observed for girls. CONCLUSION The effect of intrauterine exposure to acetaminophen in emotional and hyperactivity symptoms was dependent on sex in a Brazilian cohort. While it seemed to be important for boys, mainly at 6 years of age, for girls, no association was observed.
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Affiliation(s)
- Luciana Tovo-Rodrigues
- Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Rua Marechal Deodoro, 1160 - 3° andar, Pelotas, RS, 96020-220, Brazil.
| | - Bruna Celestino Schneider
- 0000 0001 2134 6519grid.411221.5Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Rua Marechal Deodoro, 1160 - 3° andar, Pelotas, RS 96020-220 Brazil
| | - Thais Martins-Silva
- 0000 0001 2134 6519grid.411221.5Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Rua Marechal Deodoro, 1160 - 3° andar, Pelotas, RS 96020-220 Brazil
| | - Bianca Del-Ponte
- 0000 0001 2134 6519grid.411221.5Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Rua Marechal Deodoro, 1160 - 3° andar, Pelotas, RS 96020-220 Brazil
| | - Christian Loret de Mola
- 0000 0001 2134 6519grid.411221.5School of Nursing and Public Health, Universidade Federal de Pelotas, Pelotas, Brazil
| | | | - Fernanda Sales Luiz Vianna
- 0000 0001 2200 7498grid.8532.cPostgraduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande Do Sul, Porto Alegre, Brazil ,0000 0001 0125 3761grid.414449.8Genomic Medicine Laboratory, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil ,0000 0001 0125 3761grid.414449.8Laboratory of Research in Bioethics and Ethics in Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Tiago N. Munhoz
- 0000 0001 2134 6519grid.411221.5Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Rua Marechal Deodoro, 1160 - 3° andar, Pelotas, RS 96020-220 Brazil ,0000 0001 2134 6519grid.411221.5Department of Psychology, School of Medicine, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Ludmila Entiauspe
- 0000 0001 2134 6519grid.411221.5Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Rua Marechal Deodoro, 1160 - 3° andar, Pelotas, RS 96020-220 Brazil
| | - Mariângela Freitas Silveira
- 0000 0001 2134 6519grid.411221.5Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Rua Marechal Deodoro, 1160 - 3° andar, Pelotas, RS 96020-220 Brazil
| | - Iná S. Santos
- 0000 0001 2134 6519grid.411221.5Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Rua Marechal Deodoro, 1160 - 3° andar, Pelotas, RS 96020-220 Brazil
| | - Alicia Matijasevich
- 0000 0004 1937 0722grid.11899.38Departamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Aluísio J. D. Barros
- 0000 0001 2134 6519grid.411221.5Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Rua Marechal Deodoro, 1160 - 3° andar, Pelotas, RS 96020-220 Brazil
| | - Luis Augusto Rohde
- 0000 0001 2200 7498grid.8532.cDepartment of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil ,National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil
| | - Andréa Dâmaso Bertoldi
- 0000 0001 2134 6519grid.411221.5Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Rua Marechal Deodoro, 1160 - 3° andar, Pelotas, RS 96020-220 Brazil
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Moorthie S, Blencowe H, Darlison MW, Lawn J, Morris JK, Modell B, Bittles AH, Blencowe H, Christianson A, Cousens S, Darlison MW, Gibbons S, Hamamy H, Khoshnood B, Howson CP, Lawn J, Mastroiacovo P, Modell B, Moorthie S, Morris JK, Mossey PA, Neville AJ, Petrou M, Povey S, Rankin J, Schuler-Faccini L, Wren C, Yunnis KA. Estimating the birth prevalence and pregnancy outcomes of congenital malformations worldwide. J Community Genet 2018; 9:387-396. [PMID: 30218347 PMCID: PMC6167261 DOI: 10.1007/s12687-018-0384-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 08/29/2018] [Indexed: 12/22/2022] Open
Abstract
Congenital anomaly registries have two main surveillance aims: firstly to define baseline epidemiology of important congenital anomalies to facilitate programme, policy and resource planning, and secondly to identify clusters of cases and any other epidemiological changes that could give early warning of environmental or infectious hazards. However, setting up a sustainable registry and surveillance system is resource-intensive requiring national infrastructure for recording all cases and diagnostic facilities to identify those malformations that that are not externally visible. Consequently, not all countries have yet established robust surveillance systems. For these countries, methods are needed to generate estimates of prevalence of these disorders which can act as a starting point for assessing disease burden and service implications. Here, we describe how registry data from high-income settings can be used for generating reference rates that can be used as provisional estimates for countries with little or no observational data on non-syndromic congenital malformations.
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Affiliation(s)
| | - Hannah Blencowe
- Centre for Maternal, Adolescent, Reproductive, and Child Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Matthew W Darlison
- Centre for Health Informatics and Multiprofessional Education (CHIME), University College London, London, UK.
| | - Joy Lawn
- Centre for Maternal, Adolescent, Reproductive, and Child Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Joan K Morris
- Centre for Environmental and Preventive Medicine, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Bernadette Modell
- Centre for Health Informatics and Multiprofessional Education (CHIME), University College London, London, UK
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30
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Wu S, Zhang M, Yang X, Peng F, Zhang J, Tan J, Yang Y, Wang L, Hu Y, Peng Q, Li J, Liu Y, Guan Y, Chen C, Hamer MA, Nijsten T, Zeng C, Adhikari K, Gallo C, Poletti G, Schuler-Faccini L, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, González-José R, Li H, Krutmann J, Liu F, Kayser M, Ruiz-Linares A, Tang K, Xu S, Zhang L, Jin L, Wang S. Genome-wide association studies and CRISPR/Cas9-mediated gene editing identify regulatory variants influencing eyebrow thickness in humans. PLoS Genet 2018; 14:e1007640. [PMID: 30248107 PMCID: PMC6171961 DOI: 10.1371/journal.pgen.1007640] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 10/04/2018] [Accepted: 08/16/2018] [Indexed: 12/12/2022] Open
Abstract
Hair plays an important role in primates and is clearly subject to adaptive selection. While humans have lost most facial hair, eyebrows are a notable exception. Eyebrow thickness is heritable and widely believed to be subject to sexual selection. Nevertheless, few genomic studies have explored its genetic basis. Here, we performed a genome-wide scan for eyebrow thickness in 2961 Han Chinese. We identified two new loci of genome-wide significance, at 3q26.33 near SOX2 (rs1345417: P = 6.51×10(-10)) and at 5q13.2 near FOXD1 (rs12651896: P = 1.73×10(-8)). We further replicated our findings in the Uyghurs, a population from China characterized by East Asian-European admixture (N = 721), the CANDELA cohort from five Latin American countries (N = 2301), and the Rotterdam Study cohort of Dutch Europeans (N = 4411). A meta-analysis combining the full GWAS results from the three cohorts of full or partial Asian descent (Han Chinese, Uyghur and Latin Americans, N = 5983) highlighted a third signal of genome-wide significance at 2q12.3 (rs1866188: P = 5.81×10(-11)) near EDAR. We performed fine-mapping and prioritized four variants for further experimental verification. CRISPR/Cas9-mediated gene editing provided evidence that rs1345417 and rs12651896 affect the transcriptional activity of the nearby SOX2 and FOXD1 genes, which are both involved in hair development. Finally, suitable statistical analyses revealed that none of the associated variants showed clear signals of selection in any of the populations tested. Contrary to popular speculation, we found no evidence that eyebrow thickness is subject to strong selective pressure.
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Affiliation(s)
- Sijie Wu
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Manfei Zhang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China
| | - Xinzhou Yang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- SIBS (Institute of Health Sciences) Changzheng Hospital Joint Center for Translational Research, Institutes for Translational Research (CAS-SMMU), Shanghai, China
| | - Fuduan Peng
- Key laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Juan Zhang
- Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Jingze Tan
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Yajun Yang
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Lina Wang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yanan Hu
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qianqian Peng
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jinxi Li
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yu Liu
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yaqun Guan
- Department of Biochemistry, Preclinical Medicine College, Xinjiang Medical University, Urumqi, China
| | - Chen Chen
- Department of Stomatology, Chang Zheng Hospital, Second Military Medical University, Shanghai, China
| | - Merel A. Hamer
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, CA Rotterdam, The Netherlands
| | - Tamar Nijsten
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, CA Rotterdam, The Netherlands
| | - Changqing Zeng
- Key laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | | | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre Brasil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City, México
| | | | - Gabriel Bedoya
- Laboratorio de Genética Molecular (GENMOL), Universidad de Antioquia, Medellín, Colombia
| | - Rolando González-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
| | - Hui Li
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Jean Krutmann
- IUF-Leibniz Research Institute for Environmental Medicine, Dusseldorf, Germany
| | - Fan Liu
- Key laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, CA Rotterdam, The Netherlands
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, CA Rotterdam, The Netherlands
| | - Andres Ruiz-Linares
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
| | - Kun Tang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Shuhua Xu
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming China
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- SIBS (Institute of Health Sciences) Changzheng Hospital Joint Center for Translational Research, Institutes for Translational Research (CAS-SMMU), Shanghai, China
| | - Li Jin
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming China
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31
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de Oliveira Pereira Ribeiro L, Vargas-Pinilla P, Kappel DB, Longo D, Ranzan J, Becker MM, dos Santos Riesgo R, Schuler-Faccini L, Roman T, Schuch JB. Evidence for Association Between OXTR Gene and ASD Clinical Phenotypes. J Mol Neurosci 2018; 65:213-221. [DOI: 10.1007/s12031-018-1088-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Accepted: 05/11/2018] [Indexed: 12/24/2022]
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Quinto Sánchez ME, Cintas C, Ramallo V, Silva de Cerqueira CC, Gomez-Valdés J, Acuña-Alonzo V, Adhikari K, Everardo P, De Avila F, Jaramillo C, Arias W, Fuentes M, Hünemeier T, Gallo C, Poletti G, Rosique J, Schuler-Faccini L, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, Ruiz-Linares A, Gonzalez-José R. Relación entre tratamiento hormonal, cirugía-ortodoncia maxilofacial, traumatismos y malformaciones craneofaciales y la asimetría fluctuante. Rev Arg Antrop Biol 2017. [DOI: 10.17139/raab.2018.0020.01.06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
En este trabajo se evalúa la relación entre la asimetría fluctuante facial (AFF) y los tratamientos hormonales, cirugías maxilofaciales, ortodoncia, traumatismos y malformaciones. En el marco del proyecto CANDELA, se tomaron cinco fotografías faciales de 3162 voluntarios entre los 18 y 85 años. Por fotogrametría se colocaron 34 landmarks o puntos en 3D y mediante el método Procrustes ANOVA se obtuvieron valores individuales de asimetría fluctuante facial. Se realizó una prueba de ANOVA de una vía y la prueba de Welch y Levene para conocer las diferencias entre media y varianza de los valores de asimetría facial y las variables respuesta. También, se caracterizó la variación morfológica del componente asimétrico de la forma facial mediante técnicas multivariadas sobre los grupos que resultaran diferentes significativamente. Las mujeres que reportaron haber recibido algún tipo de tratamiento hormonal mostraron mayores valores de asimetría fluctuante facial respecto al grupo sin tratamiento. Esta asociación se mantuvo una vez removido el efecto de la ancestría genética y sin interactuar con el resto de variables incluidas en el análisis. Los cambios morfológicos asociados a este factor se concentran en el mentón, maxilar labio inferior, región perifrontal, región nasal y orejas. Algunos trabajos anteriores dieron cuenta de la posible relación entre la asimetría facial y los niveles de hormonas, pero no hay estudios que sustenten la relación causal o directa entre la asociación aquí planteada. El presente trabajo es una evidencia más de la asociación entre el consumo de hormonas y modificaciones de caracteres faciales en para poblaciones urbanas mestizas latinoamericanas.
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Shaffer JR, Li J, Lee MK, Roosenboom J, Orlova E, Adhikari K, Gallo C, Poletti G, Schuler-Faccini L, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, González-José R, Pfeffer PE, Wollenschlaeger CA, Hecht JT, Wehby GL, Moreno LM, Ding A, Jin L, Yang Y, Carlson JC, Leslie EJ, Feingold E, Marazita ML, Hinds DA, Cox TC, Wang S, Ruiz-Linares A, Weinberg SM. Multiethnic GWAS Reveals Polygenic Architecture of Earlobe Attachment. Am J Hum Genet 2017; 101:913-924. [PMID: 29198719 PMCID: PMC5812923 DOI: 10.1016/j.ajhg.2017.10.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [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: 07/24/2017] [Accepted: 10/04/2017] [Indexed: 01/08/2023] Open
Abstract
The genetic basis of earlobe attachment has been a matter of debate since the early 20th century, such that geneticists argue both for and against polygenic inheritance. Recent genetic studies have identified a few loci associated with the trait, but large-scale analyses are still lacking. Here, we performed a genome-wide association study of lobe attachment in a multiethnic sample of 74,660 individuals from four cohorts (three with the trait scored by an expert rater and one with the trait self-reported). Meta-analysis of the three expert-rater-scored cohorts revealed six associated loci harboring numerous candidate genes, including EDAR, SP5, MRPS22, ADGRG6 (GPR126), KIAA1217, and PAX9. The large self-reported 23andMe cohort recapitulated each of these six loci. Moreover, meta-analysis across all four cohorts revealed a total of 49 significant (p < 5 × 10-8) loci. Annotation and enrichment analyses of these 49 loci showed strong evidence of genes involved in ear development and syndromes with auricular phenotypes. RNA sequencing data from both human fetal ear and mouse second branchial arch tissue confirmed that genes located among associated loci showed evidence of expression. These results provide strong evidence for the polygenic nature of earlobe attachment and offer insights into the biological basis of normal and abnormal ear development.
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Affiliation(s)
- John R Shaffer
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Jinxi Li
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Myoung Keun Lee
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Jasmien Roosenboom
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Ekaterina Orlova
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Kaustabh Adhikari
- Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 430 Cercado de Lima, Peru
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 430 Cercado de Lima, Peru
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brazil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brazil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México, Instituto Nacional de Medicina Genómica, Mexico City 4510, Mexico
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile; Facultad de Medicina, Universidad de Chile, Santiago 8320000, Chile
| | - Gabriel Bedoya
- Grupo Genética Molecular GENMOL, Universidad de Antioquia, Medellín 050003, Colombia
| | - Rolando González-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Científico Tecnológico, Centro Nacional Patagónico, Consejo Nacional de Investigaciones Científicas y Técnicas, Puerto Madryn U9120, Argentina
| | - Paige E Pfeffer
- Center for Advanced Dental Education, Orthodontics Program, Saint Louis University, St. Louis, MO 63104, USA
| | | | - Jacqueline T Hecht
- Department of Pediatrics, McGovern Medical School, University of Texas, Houston, TX 77030, USA
| | - George L Wehby
- Department of Health Management and Policy, University of Iowa, Iowa City, IA 52246, USA
| | - Lina M Moreno
- Department of Orthodontics, University of Iowa, Iowa City, IA 52242, USA
| | - Anan Ding
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Li Jin
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Yajun Yang
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Jenna C Carlson
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Elizabeth J Leslie
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Eleanor Feingold
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Mary L Marazita
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA 15219, USA; Clinical and Translational Science Institute, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - David A Hinds
- 23andMe Inc., 899 West Evelyn Avenue, Mountain View, CA 94041, USA
| | - Timothy C Cox
- Center for Developmental Biology & Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA 98101, USA; Craniofacial Medicine, Department of Pediatrics, University of Washington, Seattle, WA 98195, USA; Department of Anatomy & Developmental Biology, Monash University, Clayton, VIC 3800, Australia
| | - Sijia Wang
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China.
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, University College London, London, UK; Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China; Laboratory of Biocultural Anthropology, Law, Ethics, and Health, Centre National de la Recherche Scientifique and Etablissement Français du Sang, UMR 7268, Aix-Marseille University, Marseille 13284, France
| | - Seth M Weinberg
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA 15219, USA; Department of Anthropology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
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Cardoso-dos-Santos AC, Herrero J, Terças AC, Pinheiro L, Schuler-Faccini L. High prevalence of severe microcephaly in a Brazilian municipality after a ZIKV outbreak: A populational study. Reprod Toxicol 2017. [DOI: 10.1016/j.reprotox.2017.06.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Mazzu-Nascimento T, Melo DG, Morbioli GG, Carrilho E, Vianna FSL, da Silva AA, Schuler-Faccini L. Teratogens: a public health issue - a Brazilian overview. Genet Mol Biol 2017; 40:387-397. [PMID: 28534929 PMCID: PMC5488458 DOI: 10.1590/1678-4685-gmb-2016-0179] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 10/07/2016] [Indexed: 12/20/2022] Open
Abstract
Congenital anomalies are already the second cause of infant mortality in Brazil, as in many other middle-income countries in Latin America. Birth defects are a result of both genetic and environmental factors, but a multifactorial etiology has been more frequently observed. Here, we address the environmental causes of birth defects - or teratogens - as a public health issue and present their mechanisms of action, categories and their respective maternal-fetal deleterious effects. We also present a survey from 2008 to 2013 of Brazilian cases involving congenital anomalies (annual average of 20,205), fetal deaths (annual average of 1,530), infant hospitalizations (annual average of 82,452), number of deaths of hospitalized infants (annual average of 2,175), and the average cost of hospitalizations (annual cost of $7,758). Moreover, we report on Brazilian cases of teratogenesis due to the recent Zika virus infection, and to the use of misoprostol, thalidomide, alcohol and illicit drugs. Special attention has been given to the Zika virus infection, now proven to be responsible for the microcephaly outbreak in Brazil, with 8,039 cases under investigation (from October 2015 to June 2016). From those cases, 1,616 were confirmed and 324 deaths occurred due to microcephaly complications or alterations on the central nervous system. Congenital anomalies impact life quality and raise costs in specialized care, justifying the classification of teratogens as a public health issue.
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Affiliation(s)
- Thiago Mazzu-Nascimento
- Instituto de Química de São Carlos, Universidade de São Paulo, São
Carlos, SP, Brazil
- Instituto Nacional de Ciência e Tecnologia de Bioanalítica, Campinas,
SP, Brazil
| | - Débora Gusmão Melo
- Departamento de Medicina, Centro de Ciências Biológicas e da Saúde,
Universidade Federal de São Carlos, São Carlos, SP, Brazil
| | - Giorgio Gianini Morbioli
- Instituto de Química de São Carlos, Universidade de São Paulo, São
Carlos, SP, Brazil
- Instituto Nacional de Ciência e Tecnologia de Bioanalítica, Campinas,
SP, Brazil
- School of Chemistry and Biochemistry, Georgia Institute of
Technology, Atlanta, GA, USA
| | - Emanuel Carrilho
- Instituto de Química de São Carlos, Universidade de São Paulo, São
Carlos, SP, Brazil
- Instituto Nacional de Ciência e Tecnologia de Bioanalítica, Campinas,
SP, Brazil
| | - Fernanda Sales Luiz Vianna
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT),
Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Programa de Pós-Graduação em Genética e Biologia Molecular,
Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio
Grande do Sul, Porto Alegre, RS, Brazil
| | - André Anjos da Silva
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT),
Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- UNIVATES University, Lajeado, RS, Brazil
| | - Lavinia Schuler-Faccini
- Sistema Nacional de Informação sobre Agentes Teratogênicos (SIAT),
Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Programa de Pós-Graduação em Genética e Biologia Molecular,
Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio
Grande do Sul, Porto Alegre, RS, Brazil
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Del Campo M, Feitosa IML, Ribeiro EM, Horovitz DDG, Pessoa ALS, França GVA, García-Alix A, Doriqui MJR, Wanderley HYC, Sanseverino MVT, Neri JICF, Pina-Neto JM, Santos ES, Verçosa I, Cernach MCSP, Medeiros PFV, Kerbage SC, Silva AA, van der Linden V, Martelli CMT, Cordeiro MT, Dhalia R, Vianna FSL, Victora CG, Cavalcanti DP, Schuler-Faccini L. The phenotypic spectrum of congenital Zika syndrome. Am J Med Genet A 2017; 173:841-857. [PMID: 28328129 DOI: 10.1002/ajmg.a.38170] [Citation(s) in RCA: 143] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 01/13/2017] [Accepted: 01/19/2017] [Indexed: 12/24/2022]
Abstract
In October 2015, Zika virus (ZIKV) outbreak the Brazilian Ministry of Health (MoH). In response, the Brazilian Society of Medical Genetics established a task force (SBGM-ZETF) to study the phenotype of infants born with microcephaly due to ZIKV congenital infection and delineate the phenotypic spectrum of this newly recognized teratogen. This study was based on the clinical evaluation and neuroimaging of 83 infants born during the period from July, 2015 to March, 2016 and registered by the SBGM-ZETF. All 83 infants had significant findings on neuroimaging consistent with ZIKV congenital infection and 12 had confirmed ZIKV IgM in CSF. A recognizable phenotype of microcephaly, anomalies of the shape of skull and redundancy of the scalp consistent with the Fetal Brain Disruption Sequence (FBDS) was present in 70% of infants, but was most often subtle. In addition, features consistent with fetal immobility, ranging from dimples (30.1%), distal hand/finger contractures (20.5%), and feet malpositions (15.7%), to generalized arthrogryposis (9.6%), were present in these infants. Some cases had milder microcephaly or even a normal head circumference (HC), and other less distinctive findings. The detailed observation of the dysmorphic and neurologic features in these infants provides insight into the mechanisms and timings of the brain disruption and the sequence of developmental anomalies that may occur after prenatal infection by the ZIKV.
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Affiliation(s)
- Miguel Del Campo
- Division of Dysmorphology and Teratology, Department of Pediatrics, UCSD, San Diego, California
| | - Ian M L Feitosa
- Departamento de Genetica, Universidade Federal de Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Medicina Clínica, Universidade Federal de Pernambuco, Recife, Brazil
| | | | - Dafne D G Horovitz
- Instituto Fernandes Figueira, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | | | | | - Alfredo García-Alix
- Institut de Recerca Pediàtrica Sant Joan de Déu, Universitat de Barcelona, Barcelona, Spain
| | | | | | - Maria V T Sanseverino
- SIAT-Brazilian Teratogen Information Service, Medical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - João M Pina-Neto
- Faculdade de Medicina de Ribeirao Preto, Departamento de Genetica, Universidade de Sao Paolo, Ribeirao Preto, Brazil
| | | | - Islane Verçosa
- Centro de Aperfeiçoamento Visual Ver a Esperança Renascer/CAVIVER, Fortaleza, Brazil
| | - Mirlene C S P Cernach
- Departamento de Genetica Medica, Universidade Federal de Sao Paolo (UNIFESP), Sao Paolo, Brazil
| | | | | | - André A Silva
- Departamento de Genetica, Universidade Federal de Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- SIAT-Brazilian Teratogen Information Service, Medical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- UNIVATES University, Porto Alegre, Rio Grande do Sul, Brazil
| | | | | | - Marli T Cordeiro
- Centro de Pesquisas Aggeu Magalhães, Fundação Oswaldo Cruz, Recife, Brazil
| | - Rafael Dhalia
- Centro de Pesquisas Aggeu Magalhães, Fundação Oswaldo Cruz, Recife, Brazil
| | - Fernanda S L Vianna
- Departamento de Genetica, Universidade Federal de Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- SIAT-Brazilian Teratogen Information Service, Medical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Cesar G Victora
- Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - Denise P Cavalcanti
- Departamento de Genetica Medica, Universidade de Campinas UNICAMP, Campinas, Brazil
| | - Lavinia Schuler-Faccini
- Departamento de Genetica, Universidade Federal de Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Universidade Potiguar, Natal, Brazil
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Quinto-Sánchez M, Cintas C, Silva de Cerqueira CC, Ramallo V, Acuña-Alonzo V, Adhikari K, Castillo L, Gomez-Valdés J, Everardo P, De Avila F, Hünemeier T, Jaramillo C, Arias W, Fuentes M, Gallo C, Poletti G, Schuler-Faccini L, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, Rosique J, Ruiz-Linares A, González-José R. Correction: Socioeconomic Status Is Not Related with Facial Fluctuating Asymmetry: Evidence from Latin-American Populations. PLoS One 2017; 12:e0172418. [PMID: 28192507 PMCID: PMC5305118 DOI: 10.1371/journal.pone.0172418] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pone.0169287.].
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38
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Victora CG, Castro MC, França GVA, Schuler-Faccini L, Barros FC. Zika rash and increased risk of congenital brain abnormalities - Authors' reply. Lancet 2017; 389:152. [PMID: 28102136 DOI: 10.1016/s0140-6736(17)30015-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Accepted: 10/10/2016] [Indexed: 10/20/2022]
Affiliation(s)
- Cesar G Victora
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil.
| | | | | | | | - Fernando C Barros
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil; Universidade Católica de Pelotas, Pelotas, Rio Grande do Sul, Brazil
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Quinto-Sánchez M, Cintas C, Silva de Cerqueira CC, Ramallo V, Acuña-Alonzo V, Adhikari K, Castillo L, Gomez-Valdés J, Everardo P, De Avila F, Hünemeier T, Jaramillo C, Arias W, Fuentes M, Gallo C, Poletti G, Schuler-Faccini L, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, Rosique J, Ruiz-Linares A, González-José R. Socioeconomic Status Is Not Related with Facial Fluctuating Asymmetry: Evidence from Latin-American Populations. PLoS One 2017; 12:e0169287. [PMID: 28060876 PMCID: PMC5218465 DOI: 10.1371/journal.pone.0169287] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 12/14/2016] [Indexed: 11/18/2022] Open
Abstract
The expression of facial asymmetries has been recurrently related with poverty and/or disadvantaged socioeconomic status. Departing from the developmental instability theory, previous approaches attempted to test the statistical relationship between the stress experienced by individuals grown in poor conditions and an increase in facial and corporal asymmetry. Here we aim to further evaluate such hypothesis on a large sample of admixed Latin Americans individuals by exploring if low socioeconomic status individuals tend to exhibit greater facial fluctuating asymmetry values. To do so, we implement Procrustes analysis of variance and Hierarchical Linear Modelling (HLM) to estimate potential associations between facial fluctuating asymmetry values and socioeconomic status. We report significant relationships between facial fluctuating asymmetry values and age, sex, and genetic ancestry, while socioeconomic status failed to exhibit any strong statistical relationship with facial asymmetry. These results are persistent after the effect of heterozygosity (a proxy for genetic ancestry) is controlled in the model. Our results indicate that, at least on the studied sample, there is no relationship between socioeconomic stress (as intended as low socioeconomic status) and facial asymmetries.
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Affiliation(s)
- Mirsha Quinto-Sánchez
- Grupo de Investigación en Biología Evolutiva Humana, Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET. Puerto Madryn, Chubut, Argentina
- Ciencia Forense, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Celia Cintas
- Grupo de Investigación en Biología Evolutiva Humana, Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET. Puerto Madryn, Chubut, Argentina
| | - Caio Cesar Silva de Cerqueira
- Grupo de Investigación en Biología Evolutiva Humana, Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET. Puerto Madryn, Chubut, Argentina
- Ciencia Forense, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, México
- Superintendência da Polícia Técnico-Científica do Estado de São Paulo. Equipe de Perícias Criminalísticas de Ourinhos, São Paulo, Brazil
| | - Virginia Ramallo
- Grupo de Investigación en Biología Evolutiva Humana, Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET. Puerto Madryn, Chubut, Argentina
| | - Victor Acuña-Alonzo
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
- Escuela Nacional de Antropología e Historia. Instituto Nacional de Antropología e Historia, Ciudad de México, México
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
| | - Lucía Castillo
- Grupo de Investigación en Biología Evolutiva Humana, Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET. Puerto Madryn, Chubut, Argentina
| | - Jorge Gomez-Valdés
- Posgrado en Antropología Física, Escuela Nacional de Antropología e Historia, Ciudad de México, México
| | - Paola Everardo
- Escuela Nacional de Antropología e Historia. Instituto Nacional de Antropología e Historia, Ciudad de México, México
| | - Francisco De Avila
- Escuela Nacional de Antropología e Historia. Instituto Nacional de Antropología e Historia, Ciudad de México, México
| | - Tábita Hünemeier
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo
| | | | | | - Macarena Fuentes
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
- Departamento de Técnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, Chile
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Giovani Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil
| | - Maria Cátira Bortolini
- Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Ciudad de México, México
| | | | | | - Javier Rosique
- Departamento de Antropología. Facultad de Ciencias Sociales y Humanas. Universidad de Antioquia, Medellín, Colombia
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
- MOE Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - Rolando González-José
- Grupo de Investigación en Biología Evolutiva Humana, Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET. Puerto Madryn, Chubut, Argentina
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40
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França GVA, Schuler-Faccini L, Oliveira WK, Henriques CMP, Carmo EH, Pedi VD, Nunes ML, Castro MC, Serruya S, Silveira MF, Barros FC, Victora CG. Congenital Zika virus syndrome in Brazil: a case series of the first 1501 livebirths with complete investigation. Lancet 2016; 388:891-7. [PMID: 27372398 DOI: 10.1016/s0140-6736(16)30902-3] [Citation(s) in RCA: 398] [Impact Index Per Article: 49.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
BACKGROUND In November, 2015, an epidemic of microcephaly was reported in Brazil, which was later attributed to congenital Zika virus infection. 7830 suspected cases had been reported to the Brazilian Ministry of Health by June 4, 2016, but little is known about their characteristics. We aimed to describe these newborn babies in terms of clinical findings, anthropometry, and survival. METHODS We reviewed all 1501 liveborn infants for whom investigation by medical teams at State level had been completed as of Feb 27, 2016, and classified suspected cases into five categories based on neuroimaging and laboratory results for Zika virus and other relevant infections. Definite cases had laboratory evidence of Zika virus infection; highly probable cases presented specific neuroimaging findings, and negative laboratory results for other congenital infections; moderately probable cases had specific imaging findings but other infections could not be ruled out; somewhat probable cases had imaging findings, but these were not reported in detail by the local teams; all other newborn babies were classified as discarded cases. Head circumference by gestational age was assessed with InterGrowth standards. First week mortality and history of rash were provided by the State medical teams. FINDINGS Between Nov 19, 2015, and Feb 27, 2015, investigations were completed for 1501 suspected cases reported to the Brazilian Ministry of Health, of whom 899 were discarded. Of the remainder 602 cases, 76 were definite, 54 highly probable, 181 moderately probable, and 291 somewhat probable of congenital Zika virus syndrome. Clinical, anthropometric, and survival differences were small among the four groups. Compared with these four groups, the 899 discarded cases had larger head circumferences (mean Z scores -1·54 vs -3·13, difference 1·58 [95% CI 1·45-1·72]); lower first-week mortality (14 per 1000 vs 51 per 1000; rate ratio 0·28 [95% CI 0·14-0·56]); and were less likely to have a history of rash during pregnancy (20·7% vs 61·4%, ratio 0·34 [95% CI 0·27-0·42]). Rashes in the third trimester of pregnancy were associated with brain abnormalities despite normal sized heads. One in five definite or probable cases presented head circumferences in the normal range (above -2 SD below the median of the InterGrowth standard) and for one third of definite and probable cases there was no history of a rash during pregnancy. The peak of the epidemic occurred in late November, 2015. INTERPRETATION Zika virus congenital syndrome is a new teratogenic disease. Because many definite or probable cases present normal head circumference values and their mothers do not report having a rash, screening criteria must be revised in order to detect all affected newborn babies. FUNDING Brazilian Ministry of Health, Pan American Health Organization, and Wellcome Trust.
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Affiliation(s)
| | | | | | | | - Eduardo H Carmo
- Secretariat of Health Surveillance, Ministry of Health, Brasilia, Brazil
| | - Vaneide D Pedi
- Secretariat of Health Surveillance, Ministry of Health, Brasilia, Brazil
| | - Marília L Nunes
- Secretariat of Health Surveillance, Ministry of Health, Brasilia, Brazil
| | | | - Suzanne Serruya
- Latin American Center for Perinatology, Women and Reproductive Health, Montevideo, Uruguay
| | - Mariângela F Silveira
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - Fernando C Barros
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil; Universidade Católica de Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - Cesar G Victora
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil.
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Adhikari K, Fuentes-Guajardo M, Quinto-Sánchez M, Mendoza-Revilla J, Camilo Chacón-Duque J, Acuña-Alonzo V, Jaramillo C, Arias W, Lozano RB, Pérez GM, Gómez-Valdés J, Villamil-Ramírez H, Hunemeier T, Ramallo V, Silva de Cerqueira CC, Hurtado M, Villegas V, Granja V, Gallo C, Poletti G, Schuler-Faccini L, Salzano FM, Bortolini MC, Canizales-Quinteros S, Cheeseman M, Rosique J, Bedoya G, Rothhammer F, Headon D, González-José R, Balding D, Ruiz-Linares A. A genome-wide association scan implicates DCHS2, RUNX2, GLI3, PAX1 and EDAR in human facial variation. Nat Commun 2016; 7:11616. [PMID: 27193062 PMCID: PMC4874031 DOI: 10.1038/ncomms11616] [Citation(s) in RCA: 116] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Accepted: 04/14/2016] [Indexed: 12/28/2022] Open
Abstract
We report a genome-wide association scan for facial features in ∼6,000 Latin Americans. We evaluated 14 traits on an ordinal scale and found significant association (P values<5 × 10−8) at single-nucleotide polymorphisms (SNPs) in four genomic regions for three nose-related traits: columella inclination (4q31), nose bridge breadth (6p21) and nose wing breadth (7p13 and 20p11). In a subsample of ∼3,000 individuals we obtained quantitative traits related to 9 of the ordinal phenotypes and, also, a measure of nasion position. Quantitative analyses confirmed the ordinal-based associations, identified SNPs in 2q12 associated to chin protrusion, and replicated the reported association of nasion position with SNPs in PAX3. Strongest association in 2q12, 4q31, 6p21 and 7p13 was observed for SNPs in the EDAR, DCHS2, RUNX2 and GLI3 genes, respectively. Associated SNPs in 20p11 extend to PAX1. Consistent with the effect of EDAR on chin protrusion, we documented alterations of mandible length in mice with modified Edar funtion. Humans show great diversity in facial appearance and this variation is highly heritable. Here, Andres Ruiz-Linares and colleagues examined facial features in admixed Latin Americans and identify genome-wide associations for 14 facial traits, including four gene loci (RUNX2, GLI3, DCHS2 and PAX1) influencing nose morphology.
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Affiliation(s)
- Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Macarena Fuentes-Guajardo
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK.,Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica 1000009, Chile
| | - Mirsha Quinto-Sánchez
- Centro Nacional Patagónico, CONICET, Unidad de Diversidad, Sistematica y Evolucion, Puerto Madryn U912OACD, Argentina
| | - Javier Mendoza-Revilla
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK.,Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Juan Camilo Chacón-Duque
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Victor Acuña-Alonzo
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK.,Laboratorio de Genética Molecular, Escuela Nacional de Antropologia e Historia, México City 14030, México
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - Rodrigo Barquera Lozano
- Laboratorio de Genética Molecular, Escuela Nacional de Antropologia e Historia, México City 14030, México.,Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City 4510, México
| | - Gastón Macín Pérez
- Laboratorio de Genética Molecular, Escuela Nacional de Antropologia e Historia, México City 14030, México.,Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City 4510, México
| | - Jorge Gómez-Valdés
- Departamento de Anatomía, Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), México City 04510, México
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City 4510, México
| | - Tábita Hunemeier
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Virginia Ramallo
- Centro Nacional Patagónico, CONICET, Unidad de Diversidad, Sistematica y Evolucion, Puerto Madryn U912OACD, Argentina.,Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Caio C Silva de Cerqueira
- Centro Nacional Patagónico, CONICET, Unidad de Diversidad, Sistematica y Evolucion, Puerto Madryn U912OACD, Argentina.,Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Francisco M Salzano
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City 4510, México
| | - Michael Cheeseman
- Division of Developmental Biology, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | - Javier Rosique
- Departamento de Antropología, Universidad de Antioquia, Medellín 5001000, Colombia
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | | | - Denis Headon
- Division of Developmental Biology, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | - Rolando González-José
- Centro Nacional Patagónico, CONICET, Unidad de Diversidad, Sistematica y Evolucion, Puerto Madryn U912OACD, Argentina
| | - David Balding
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK.,Schools of BioSciences and Mathematics and Statistics, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK
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42
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Schuler-Faccini L, Sanseverino M, Vianna F, da Silva AA, Larrandaburu M, Marcolongo-Pereira C, Abeche AM. Zika virus: A new human teratogen? Implications for women of reproductive age. Clin Pharmacol Ther 2016; 100:28-30. [PMID: 27090438 DOI: 10.1002/cpt.386] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2016] [Revised: 04/14/2016] [Accepted: 04/15/2016] [Indexed: 01/08/2023]
Abstract
In 2015 an unprecedented increase of reports of newborns with microcephaly in Brazil made news headlines around the world. A possible etiological association with prenatal maternal infection by Zika virus (ZIKV) was suggested based on temporal and geographic distribution of ZIKV infection and the subsequent increase in the reports of microcephaly cases. Here we discuss ZIKV as a new human teratogen, with comments on potential treatment options.
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Affiliation(s)
- L Schuler-Faccini
- SIAT, Brazilian Teratogen Information Service, Medical Genetics Service, Hospital de Clinicas de Porto Alegre, Brazil.,Post-Graduate Program in Genetics and Molecular Biology, Federal University of Rio Grande do Sul, Brazil
| | - Mtv Sanseverino
- SIAT, Brazilian Teratogen Information Service, Medical Genetics Service, Hospital de Clinicas de Porto Alegre, Brazil.,Post-Graduate Program in Genetics and Molecular Biology, Federal University of Rio Grande do Sul, Brazil
| | - Fsl Vianna
- SIAT, Brazilian Teratogen Information Service, Medical Genetics Service, Hospital de Clinicas de Porto Alegre, Brazil.,Post-Graduate Program in Genetics and Molecular Biology, Federal University of Rio Grande do Sul, Brazil
| | - A A da Silva
- SIAT, Brazilian Teratogen Information Service, Medical Genetics Service, Hospital de Clinicas de Porto Alegre, Brazil.,UNIVATES University, Brazil
| | - M Larrandaburu
- SIAT, Brazilian Teratogen Information Service, Medical Genetics Service, Hospital de Clinicas de Porto Alegre, Brazil.,Post-Graduate Program in Genetics and Molecular Biology, Federal University of Rio Grande do Sul, Brazil
| | - C Marcolongo-Pereira
- Veterinary Sciences Faculty, UniRitter Laureate International Universities, Brazil
| | - A M Abeche
- SIAT, Brazilian Teratogen Information Service, Medical Genetics Service, Hospital de Clinicas de Porto Alegre, Brazil.,Obstetrics and Gynecology Department, Federal University of Rio Grande do Sul, Brazil
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43
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Schuler-Faccini L, da Silva AA, Vianna FS, Sanseverino MTV. Defining the Zika virus embryopathy phenotype. Reprod Toxicol 2016. [DOI: 10.1016/j.reprotox.2016.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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44
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Adhikari K, Fontanil T, Cal S, Mendoza-Revilla J, Fuentes-Guajardo M, Chacón-Duque JC, Al-Saadi F, Johansson JA, Quinto-Sanchez M, Acuña-Alonzo V, Jaramillo C, Arias W, Barquera Lozano R, Macín Pérez G, Gómez-Valdés J, Villamil-Ramírez H, Hunemeier T, Ramallo V, Silva de Cerqueira CC, Hurtado M, Villegas V, Granja V, Gallo C, Poletti G, Schuler-Faccini L, Salzano FM, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, Gonzalez-José R, Headon D, López-Otín C, Tobin DJ, Balding D, Ruiz-Linares A. A genome-wide association scan in admixed Latin Americans identifies loci influencing facial and scalp hair features. Nat Commun 2016; 7:10815. [PMID: 26926045 PMCID: PMC4773514 DOI: 10.1038/ncomms10815] [Citation(s) in RCA: 118] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Accepted: 01/25/2016] [Indexed: 12/20/2022] Open
Abstract
We report a genome-wide association scan in over 6,000 Latin Americans for features of scalp hair (shape, colour, greying, balding) and facial hair (beard thickness, monobrow, eyebrow thickness). We found 18 signals of association reaching genome-wide significance (P values 5 × 10(-8) to 3 × 10(-119)), including 10 novel associations. These include novel loci for scalp hair shape and balding, and the first reported loci for hair greying, monobrow, eyebrow and beard thickness. A newly identified locus influencing hair shape includes a Q30R substitution in the Protease Serine S1 family member 53 (PRSS53). We demonstrate that this enzyme is highly expressed in the hair follicle, especially the inner root sheath, and that the Q30R substitution affects enzyme processing and secretion. The genome regions associated with hair features are enriched for signals of selection, consistent with proposals regarding the evolution of human hair.
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Affiliation(s)
- Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Tania Fontanil
- Departamento de Bioquímica y Biología Molecular, IUOPA, Universidad de Oviedo, Oviedo 33006, Spain
| | - Santiago Cal
- Departamento de Bioquímica y Biología Molecular, IUOPA, Universidad de Oviedo, Oviedo 33006, Spain
| | - Javier Mendoza-Revilla
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Macarena Fuentes-Guajardo
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica 1000009, Chile
| | - Juan-Camilo Chacón-Duque
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Farah Al-Saadi
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Jeanette A. Johansson
- Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | | | - Victor Acuña-Alonzo
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- National Institute of Anthropology and History, México 4510, México
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - Rodrigo Barquera Lozano
- National Institute of Anthropology and History, México 4510, México
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México 4510, México
| | - Gastón Macín Pérez
- National Institute of Anthropology and History, México 4510, México
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México 4510, México
| | | | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México 4510, México
| | - Tábita Hunemeier
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Virginia Ramallo
- Centro Nacional Patagónico, CONICET, Puerto Madryn U9129ACD, Argentina
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Caio C. Silva de Cerqueira
- Centro Nacional Patagónico, CONICET, Puerto Madryn U9129ACD, Argentina
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Francisco M. Salzano
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México 4510, México
| | | | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | | | - Denis Headon
- Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | - Carlos López-Otín
- Departamento de Bioquímica y Biología Molecular, IUOPA, Universidad de Oviedo, Oviedo 33006, Spain
| | - Desmond J. Tobin
- Centre for Skin Sciences, Faculty of Life Sciences, University of Bradford, Bradford BD7 1DP, Victoria, UK
| | - David Balding
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- Schools of BioSciences and Mathematics and Statistics, University of Melbourne, Melbourne 3010, Australia
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
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45
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Affiliation(s)
- Cesar Gomes Victora
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas 96020-220, RS, Brazil.
| | - Lavinia Schuler-Faccini
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Alicia Matijasevich
- Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Erlane Ribeiro
- Hospital Infantil Albert Sabin and Universidade Estadual do Ceará, Fortaleza, CE, Brazil
| | - André Pessoa
- Hospital Infantil Albert Sabin and Universidade Estadual do Ceará, Fortaleza, CE, Brazil
| | - Fernando Celso Barros
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas 96020-220, RS, Brazil; Faculdade de Medicina, Universidade Católica de Pelotas, Pelotas, RS, Brazil
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46
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Souza GN, Kersting N, Krum-Santos AC, Santos ASP, Furtado GV, Pacheco D, Gonçalves TA, Saute JA, Schuler-Faccini L, Mattos EP, Saraiva-Pereira ML, Jardim LB. Spinocerebellar ataxia type 3/Machado-Joseph disease: segregation patterns and factors influencing instability of expanded CAG transmissions. Clin Genet 2016; 90:134-40. [PMID: 26693702 DOI: 10.1111/cge.12719] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2015] [Revised: 12/16/2015] [Accepted: 12/17/2015] [Indexed: 11/30/2022]
Abstract
Controversies about Mendelian segregation and CAG expansion (CAGexp) instabilities during meiosis in spinocerebellar ataxia type 3/Machado-Joseph disease (SCA3/MJD) need clarification. Additional evidence about these issues was obtained from the cohort of all SCA3/MJD individuals living in South Brazil. A survey was carried out to update information registered since 2001. Deaths were checked with the Public Information System, and data was made anonymous. Anticipation and delta-CAGexp from parent-offspring pairs, and delta-CAGexp between siblings were obtained. One hundred and fifty-nine families (94% of the entire registry) were retrieved, comprising 3725 living individuals as of 2015, 625 of these being symptomatic. Minimal prevalence was 6:100,000. Carriers of a CAGexp represented 65.6% of sibs in the genotyped offspring (p < 0.001). Median instability was larger among paternal than maternal transmissions, and instabilities correlated with anticipation (r = 0.38; p = 0.001). Age of the parent correlated to delta-CAGexp among 115 direct parent-offspring CAGexp transmissions (ρ = 0.23, p = 0.014). In 98 additional kindreds, the delta-CAGexp between 269 siblings correlated with their delta-of-age (ρ = 0.27, p < 0.0001). SCA3/MJD was associated with a segregation distortion favoring the expanded allele in our cohort. Instability of expansion during meiosis was weakly influenced by the age of the transmitting parent at the time of conception.
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Affiliation(s)
- G N Souza
- Programa de Pós-Graduação em Ciências Médicas, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - N Kersting
- Programa de Pós-Graduação em Ciências Médicas, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - A C Krum-Santos
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - A S P Santos
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - G V Furtado
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Laboratório de Identificação Genética, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - D Pacheco
- Faculdade de Serviço Social, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - T A Gonçalves
- Escola de Enfermagem, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - J A Saute
- Laboratório de Identificação Genética, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Serviço de Genética Médica, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - L Schuler-Faccini
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Serviço de Genética Médica, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Departamento de Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Instituto de Genética Médica Populacional (INAGEMP), Porto Alegre, Brazil
| | - E P Mattos
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Laboratório de Identificação Genética, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - M L Saraiva-Pereira
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Laboratório de Identificação Genética, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Serviço de Genética Médica, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Instituto de Genética Médica Populacional (INAGEMP), Porto Alegre, Brazil.,Departamento de Bioquímica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - L B Jardim
- Programa de Pós-Graduação em Ciências Médicas, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Laboratório de Identificação Genética, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Serviço de Genética Médica, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Instituto de Genética Médica Populacional (INAGEMP), Porto Alegre, Brazil.,Departamento de Medicina Interna, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Schuler-Faccini L, Ribeiro EM, Feitosa IML, Horovitz DDG, Cavalcanti DP, Pessoa A, Doriqui MJR, Neri JI, Neto JMDP, Wanderley HYC, Cernach M, El-Husny AS, Pone MVS, Serao CLC, Sanseverino MTV. Possible Association Between Zika Virus Infection and Microcephaly - Brazil, 2015. MMWR Morb Mortal Wkly Rep 2016; 65:59-62. [PMID: 26820244 DOI: 10.15585/mmwr.mm6503e2] [Citation(s) in RCA: 706] [Impact Index Per Article: 88.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
In early 2015, an outbreak of Zika virus, a flavivirus transmitted by Aedes mosquitoes, was identified in northeast Brazil, an area where dengue virus was also circulating. By September, reports of an increase in the number of infants born with microcephaly in Zika virus-affected areas began to emerge, and Zika virus RNA was identified in the amniotic fluid of two women whose fetuses had been found to have microcephaly by prenatal ultrasound. The Brazil Ministry of Health (MoH) established a task force to investigate the possible association of microcephaly with Zika virus infection during pregnancy and a registry for incident microcephaly cases (head circumference ≥2 standard deviations [SD] below the mean for sex and gestational age at birth) and pregnancy outcomes among women suspected to have had Zika virus infection during pregnancy. Among a cohort of 35 infants with microcephaly born during August-October 2015 in eight of Brazil's 26 states and reported to the registry, the mothers of all 35 had lived in or visited Zika virus-affected areas during pregnancy, 25 (71%) infants had severe microcephaly (head circumference >3 SD below the mean for sex and gestational age), 17 (49%) had at least one neurologic abnormality, and among 27 infants who had neuroimaging studies, all had abnormalities. Tests for other congenital infections were negative. All infants had a lumbar puncture as part of the evaluation and cerebrospinal fluid (CSF) samples were sent to a reference laboratory in Brazil for Zika virus testing; results are not yet available. Further studies are needed to confirm the association of microcephaly with Zika virus infection during pregnancy and to understand any other adverse pregnancy outcomes associated with Zika virus infection. Pregnant women in Zika virus-affected areas should protect themselves from mosquito bites by using air conditioning, screens, or nets when indoors, wearing long sleeves and pants, using permethrin-treated clothing and gear, and using insect repellents when outdoors. Pregnant and lactating women can use all U.S. Environmental Protection Agency (EPA)-registered insect repellents according to the product label.
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Schuler-Faccini L, Ribeiro EM, Feitosa IM, Horovitz DD, Cavalcanti DP, Pessoa A, Doriqui MJR, Neri JI, Neto JMDP, Wanderley HY, Cernach M, El-Husny AS, Pone MV, Serao CL, Sanseverino MTV. Possible Association Between Zika Virus Infection and Microcephaly — Brazil, 2015. MMWR Morb Mortal Wkly Rep 2016. [DOI: 10.15585/mmwr.mm6503e2er] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Silva A, Leopoldino M, Rocha A, Goldani B, Gomes D, Santos D, Vianna F, Matuella G, Metzdorf L, Bellaver P, Abeche A, Sanseverino M, Schuler-Faccini L. Warfarin: A retrospective analysis of consultations to a Brazilian Teratology Information Service. Reprod Toxicol 2015. [DOI: 10.1016/j.reprotox.2015.06.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Larrandaburu M, Matte U, Noble A, Olivera Z, Sanseverino MTV, Nacul L, Schuler-Faccini L. Ethics, genetics and public policies in Uruguay: newborn and infant screening as a paradigm. J Community Genet 2015; 6:241-9. [PMID: 26021874 PMCID: PMC4524831 DOI: 10.1007/s12687-015-0236-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Accepted: 05/13/2015] [Indexed: 10/23/2022] Open
Abstract
Uruguay is a middle-income country and the smallest in South America. Its population is under 3.3 million. The demographic and epidemiological characteristics are similar to those of developed countries, with a high burden associated with congenital anomalies. Infant mortality rate (IMR) decreased from 37/1000 live births, in 1980, to 8.8/1000, in 2013. This is largely explained by medical and social policies. IMR related to congenital anomalies, however, remained unchanged for the last 30 years. Therefore, programmes for prevention of congenital disorders were developed, such as the National Newborn Screening Programme. Mandatory, universal, free infant screening was implemented two decades ago. The Ministry of Public Health created the Comprehensive Plan on Birth Defects and Rare Diseases (PIDCER), to develop a strategic public policy tool enabling comprehensive, universal, quality care during their entire lifetime. Recent national legislation created provisions for newborn and infant screening, including for congenital hypothyroidism, phenylketonuria, congenital adrenal hyperplasia, cystic fibrosis and medium-chain acyl-CoA dehydrogenase, via blood spot test, otoacoustic emissions, systematic physical examination and hip ultrasound. We discuss how this programme was implemented, the current situation of rare diseases, the institution managing disability in Uruguay and the development of new laws based on the MPH's PIDCER. It illustrates how Uruguay is developing public policies in the genomic era, based both on science and bioethics.
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Affiliation(s)
- Mariela Larrandaburu
- />Ministry of Public Health of Uruguay, 18 de Julio 1892, 11200 Montevideo, Uruguay
- />Post-Graduate Program in Genetics and Molecular Biology, Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
- />Born Healthy Program, National Institute of Population Medical Genetics - INAGEMP, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Ursula Matte
- />Post-Graduate Program in Genetics and Molecular Biology, Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Ana Noble
- />Ministry of Public Health of Uruguay, 18 de Julio 1892, 11200 Montevideo, Uruguay
| | - Zully Olivera
- />Ministry of Public Health of Uruguay, 18 de Julio 1892, 11200 Montevideo, Uruguay
| | - Maria Teresa V. Sanseverino
- />Post-Graduate Program in Genetics and Molecular Biology, Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
- />Born Healthy Program, National Institute of Population Medical Genetics - INAGEMP, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS Brazil
| | | | - Lavinia Schuler-Faccini
- />Post-Graduate Program in Genetics and Molecular Biology, Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
- />Born Healthy Program, National Institute of Population Medical Genetics - INAGEMP, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS Brazil
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