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Silva HC, Lavado N, Canova F, Lopez MG, Regateiro FJ, Pereira SA. Influence of clinical factors on the protective or deleterious impact of genetic variants in orthodontically induced external root resorption: an observational study. BMC Oral Health 2022; 22:270. [PMID: 35787289 PMCID: PMC9254450 DOI: 10.1186/s12903-022-02306-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 06/13/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Prediction of susceptibility to Orthodontically Induced External Apical Root Resorption (OIEARR) has been hampered by the complex architecture of this multifactorial phenotype. The aim of this study was to analyze the impact of the interaction of multiple variables in the susceptibility to OIEARR. METHODS The study evaluated 195 patients requiring orthodontic treatment. Nine clinical and treatment variables, single nucleotide polymorphisms (SNPs) from five genes and variables interactions were analyzed as risk factors for OIEARR using a multiple linear regression model. RESULTS The model explained 29% of OIEARR variability (ANOVA: p < 0.01). Duration of treatment was the most important predictor and gender was the second, closely followed by premolar extraction. For genes encoding osteoprotegerin (OPG), the receptor activator of nuclear factor κ B (RANK) and the IL1 receptor antagonist (IL1RN), the effect of analyzed variants changed from protective to deleterious depending on the duration of treatment and the age of the patient. CONCLUSIONS This work shows that in OIEARR the impact of genetic susceptibility factors is dynamic changing according to clinical variables.
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Affiliation(s)
- Henriqueta Coimbra Silva
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Coimbra, Portugal. .,Institute of Medical Genetics/UCGenomics, Faculty of Medicine, University of Coimbra, Pólo 3. Subunidade 1, 3º andar, gab 77. Azinhaga de Sta Comba, Celas, 3000-548, Coimbra, Portugal.
| | - Nuno Lavado
- Polytechnic of Coimbra, Institute of Engineering of Coimbra - ISEC, Coimbra, Portugal
| | - Filomena Canova
- Polytechnic of Coimbra, Institute of Engineering of Coimbra - ISEC, Coimbra, Portugal
| | - Miguel Guevara Lopez
- Department of Computing and Systems, Setúbal School of Technology, Polytechnic Institute of Setúbal, Campus de Estefanilha, Setúbal, Portugal
| | - Fernando J Regateiro
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Institute of Medical Genetics/UCGenomics, Faculty of Medicine, University of Coimbra, Pólo 3. Subunidade 1, 3º andar, gab 77. Azinhaga de Sta Comba, Celas, 3000-548, Coimbra, Portugal
| | - Sónia A Pereira
- Institute of Orthodontics, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
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Amanat S, Requena T, Lopez-Escamez JA. A Systematic Review of Extreme Phenotype Strategies to Search for Rare Variants in Genetic Studies of Complex Disorders. Genes (Basel) 2020; 11:genes11090987. [PMID: 32854191 PMCID: PMC7564972 DOI: 10.3390/genes11090987] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 08/14/2020] [Accepted: 08/19/2020] [Indexed: 12/12/2022] Open
Abstract
Exome sequencing has been commonly used to characterize rare diseases by selecting multiplex families or singletons with an extreme phenotype (EP) and searching for rare variants in coding regions. The EP strategy covers both extreme ends of a disease spectrum and it has been also used to investigate the contribution of rare variants to the heritability of complex clinical traits. We conducted a systematic review to find evidence supporting the use of EP strategies in the search for rare variants in genetic studies of complex diseases and highlight the contribution of rare variations to the genetic structure of polygenic conditions. After assessing the quality of the retrieved records, we selected 19 genetic studies considering EPs to demonstrate genetic association. All studies successfully identified several rare or de novo variants, and many novel candidate genes were also identified by selecting an EP. There is enough evidence to support that the EP approach for patients with an early onset of a disease can contribute to the identification of rare variants in candidate genes or pathways involved in complex diseases. EP patients may contribute to a better understanding of the underlying genetic architecture of common heterogeneous disorders such as tinnitus or age-related hearing loss.
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Affiliation(s)
- Sana Amanat
- Otology & Neurotology Group CTS495, Department of Genomic Medicine, GENYO—Centre for Genomics and Oncological Research—Pfizer/University of Granada/Junta de Andalucía, PTS, 18016 Granada, Spain;
| | - Teresa Requena
- Centre for Discovery Brain Sciences, Edinburgh Medical School: Biomedical Sciences, University of Edinburgh, Edinburgh EH8 9JZ, UK;
| | - Jose Antonio Lopez-Escamez
- Otology & Neurotology Group CTS495, Department of Genomic Medicine, GENYO—Centre for Genomics and Oncological Research—Pfizer/University of Granada/Junta de Andalucía, PTS, 18016 Granada, Spain;
- Department of Otolaryngology, Instituto de Investigación Biosanitaria ibs.GRANADA, Hospital Universitario Virgen de las Nieves, Universidad de Granada, 18016 Granada, Spain
- Department of Surgery, Division of Otolaryngology, Universidad de Granada, 18016 Granada, Spain
- Correspondence: ; Tel.: +34-958-715-500-160
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Abstract
Over the last several years, next-generation sequencing and its recent push toward single-cell resolution have transformed the landscape of immunology research by revealing novel complexities about all components of the immune system. With the vast amounts of diverse data currently being generated, and with the methods of analyzing and combining diverse data improving as well, integrative systems approaches are becoming more powerful. Previous integrative approaches have combined multiple data types and revealed ways that the immune system, both as a whole and as individual parts, is affected by genetics, the microbiome, and other factors. In this review, we explore the data types that are available for studying immunology with an integrative systems approach, as well as the current strategies and challenges for conducting such analyses.
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Affiliation(s)
- Silvia Pineda
- Bakar Computational Health Sciences Institute, University of California, San Francisco, California 94158, USA
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre, 28029 Madrid, Spain
| | - Daniel G. Bunis
- Bakar Computational Health Sciences Institute, University of California, San Francisco, California 94158, USA
| | - Idit Kosti
- Bakar Computational Health Sciences Institute, University of California, San Francisco, California 94158, USA
- Department of Pediatrics, University of California, San Francisco, California 94143, USA
| | - Marina Sirota
- Bakar Computational Health Sciences Institute, University of California, San Francisco, California 94158, USA
- Department of Pediatrics, University of California, San Francisco, California 94143, USA
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Thami PK, Chimusa ER. Population Structure and Implications on the Genetic Architecture of HIV-1 Phenotypes Within Southern Africa. Front Genet 2019; 10:905. [PMID: 31611910 PMCID: PMC6777512 DOI: 10.3389/fgene.2019.00905] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 08/26/2019] [Indexed: 12/12/2022] Open
Abstract
The interesting history of Southern Africa has put the region in the spotlight for population medical genetics. Major events including the Bantu expansion and European colonialism have imprinted unique genetic signatures within autochthonous populations of Southern Africa, this resulting in differential allele frequencies across the region. This genetic structure has potential implications on susceptibility and resistance to infectious diseases such as human immunodeficiency virus (HIV) infection. Southern Africa is the region affected worst by HIV. Here, we discuss advances made in genome-wide association studies (GWAS) of HIV-1 in the past 12 years and dissect population diversity within Southern Africa. Our findings accentuate that a plethora of factors such as migration, language and culture, admixture, and natural selection have profiled the genetics of the people of Southern Africa. Genetic structure has been observed among the Khoe-San, among Bantu speakers, and between the Khoe-San, Coloureds, and Bantu speakers. Moreover, Southern African populations have complex admixture scenarios. Few GWAS of HIV-1 have been conducted in Southern Africa, with only one of these identifying two novel variants (HCG22rs2535307 and CCNG1kgp22385164) significantly associated with HIV-1 acquisition and progression. High genetic diversity, multi-wave genetic mixture and low linkage disequilibrium of Southern African populations constitute a challenge in identifying genetic variants with modest risk or protective effect against HIV-1. We therefore posit that it is compelling to assess genome-wide contribution of ancestry to HIV-1 infection. We further suggest robust methods that can pin-point population-specific variants that may contribute to the control of HIV-1 in Southern Africa.
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Affiliation(s)
- Prisca K Thami
- Division of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa.,Research Laboratory, Botswana Harvard AIDS Institute Partnership, Gaborone, Botswana
| | - Emile R Chimusa
- Division of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa
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Løset M, Brown SJ, Saunes M, Hveem K. Genetics of Atopic Dermatitis: From DNA Sequence to Clinical Relevance. Dermatology 2019; 235:355-364. [PMID: 31203284 DOI: 10.1159/000500402] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 04/15/2019] [Indexed: 12/14/2022] Open
Abstract
Atopic dermatitis (AD) is a complex disease that is thought to be triggered by environmental factors in genetically susceptible individuals. Twin studies have estimated the heritability of AD to be approximately 75%, with the null (loss-of-function) mutations of the gene encoding filaggrin (FLG) (chromosome 1q21.3) as the strongest known genetic risk factor. The discovery of the filaggrin gene was important in the emerging model for AD pathogenesis, combining skin barrier function with adaptive and innate immunity. Assisted by the recent development of large-scale high-throughput genomics, more than 30 genetic loci have been linked to AD across different populations. Identification of these loci, together with functional studies, has already provided new insights into disease biology and identified novel drug targets. Further, these susceptibility loci are laying the groundwork for phenome-wide association studies to test their multiple phenotype relationships and application of Mendelian randomization to investigate causal relationships. Despite many known genes, a majority of the genetic risk for AD is yet unexplored. Therefore, studies investigating refined phenotype groups, low-frequency and rare genetic variation, gene-gene and/or gene-environment interactions, epigenetic mechanisms and data from multi-omics technologies are warranted. In this review, we describe genetic discoveries for AD, including results from candidate gene studies, studies of AD-like genetic diseases, genome-wide association studies and genetic sequencing studies. We explain how some of these genetic discoveries have unraveled new mechanistic insights into the pathogenesis of AD and exemplify how personal genetic data could be used for preventive strategies and a tailored treatment regimen (i.e., precision medicine).
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Affiliation(s)
- Mari Løset
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway, .,Department of Dermatology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway,
| | - Sara J Brown
- Skin Research Group, School of Medicine, University of Dundee, Dundee, United Kingdom.,Department of Dermatology, Ninewells Hospital and Medical School, Dundee, United Kingdom
| | - Marit Saunes
- Department of Dermatology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.,Department of Cancer Research and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.,HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
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Rhoades R, Jackson F, Teng S. Discovery of rare variants implicated in schizophrenia using next-generation sequencing. JOURNAL OF TRANSLATIONAL GENETICS AND GENOMICS 2019; 3:1-20. [PMID: 33981965 PMCID: PMC8112455 DOI: 10.20517/jtgg.2018.26] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
Abstract
Schizophrenia is a highly heritable psychiatric disorder that affects 1% of the population. Genome-wide association studies have identified common variants in candidate genes associated with schizophrenia, but the genetics mechanisms of this disorder have not yet been elucidated. The discovery of rare genetic variants that contribute to schizophrenia symptoms promises to help explain the missing heritability of the disease. Next generation sequencing techniques are revolutionizing the field of psychiatric genetics. Various statistical approaches have been developed for rare variant association testing in case-control and family studies. Targeted resequencing, whole exome sequencing and whole genome sequencing combined with these computational tools are used for the discovery of rare genetic variations in schizophrenia. The findings provide useful information for characterizing the rare mutations and elucidating the genetic mechanisms by which the variants cause schizophrenia.
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Affiliation(s)
- Raina Rhoades
- Department of Biology, Howard University, Washington, DC 20059, USA
| | - Fatimah Jackson
- Department of Biology, Howard University, Washington, DC 20059, USA
| | - Shaolei Teng
- Department of Biology, Howard University, Washington, DC 20059, USA
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