SARS-CoV-2 sequencing: The technological initiative to strengthen early warning systems for public health emergencies in Latin America and the Caribbean / [Secuenciación del SARS-CoV-2: la iniciativa tecnológica para fortalecer los sistemas de alerta temprana ante emergencias de salud pública en Latinoamérica y el Caribe].

The COVID-19 pandemic caused by SARS-CoV-2 is a public health problem on a scale unprecedented in the last 100 years, as has been the response focused on the rapid genomic characterization of SARS-CoV-2 in virtually all regions of the planet. This pandemic emerged during the era of genomic epidemiology, a science fueled by continued advances in next-generation sequencing. Since its recent appearance, genomic epidemiology included the precise identification of new lineages or species of pathogens and the reconstruction of their genetic variability in real time, evidenced in past outbreaks of influenza H1N1, MERS, and SARS. However, the global and uncontrolled scale of this pandemic created a scenario where genomic epidemiology was put into practice en masse, from the rapid identification of SARS-CoV-2 to the registration of new lineages and their active surveillance throughout the world. Prior to the COVID-19 pandemic, the availability of genomic data on circulating pathogens in several Latin America and the Caribbean countries was scarce or nil. With the arrival of SARS-CoV-2, this scenario changed significantly, although the amount of available information remains scarce and, in countries such as Colombia, Brazil, Argentina, and Chile, the genomic information of SARS-CoV-2 was obtained mainly by research groups in genomic epidemiology rather than the product of a public health surveillance policy or program. This indicates the need to establish public health policies aimed at implementing genomic epidemiology as a tool to strengthen surveillance and early warning systems against threats to public health in the region.

La pandemia de COVID-19 causada por el SARS-CoV-2 es un problema de salud pública sin precedentes en los últimos 100 años, así como la respuesta centrada en la caracterización genómica del SARS-CoV-2 prácticamente en todas las regiones del planeta. Esta pandemia surgió durante la era de la epidemiología genómica impulsada por los continuos avances en la secuenciación de próxima generación. Desde su reciente aparición, la epidemiología genómica permitió la identificación precisa de nuevos linajes o especies de agentes patógenos y la reconstrucción de su variabilidad genética en tiempo real, lo que se hizo evidente en los brotes de influenza H1N1, MERS y SARS. Sin embargo, la escala global y descontrolada de esta pandemia ha generado una situación que obligó a utilizar de forma masiva herramientas de la epidemiología genómica como la rápida identificación del SARS-CoV-2 y el registro de nuevos linajes y su vigilancia activa en todo el mundo. Antes de la pandemia de COVID-19 la disponibilidad e datos genómicos de agentes patógenos circulantes en varios países de Latinoamérica y el Caribe era escasa o nula. Con la llegada del SARS-CoV-2 dicha situación cambió significativamente, aunque la cantidad de información disponible sigue siendo escasa y, en países como Colombia, Brasil, Argentina y Chile, la información genómica del SARS-CoV-2 provino principalmente de grupos de investigación en epidemiología genómica más que como producto de una política o programa de vigilancia en salud pública.

Medicina de precisión: aspectos prácticos para el cirujano moderno / Precision medicine: practical aspects for the modern surgeon

Los contenidos de este capítulo se basan en la 3a edición de las Clínicas Quirúrgicas de Cáncer Colorrectal. C. Vaccaro y N. Peralta. del hospital ediciones 2020 (en prensa)

The Evolving Field of Genetic Epidemiology: From Familial Aggregation to Genomic Sequencing.

The field of genetic epidemiology is relatively young and brings together genetics, epidemiology, and biostatistics to identify and implement the best study designs and statistical analyses for identifying genes controlling risk for complex and heterogeneous diseases (i.e., those where genes and environmental risk factors both contribute to etiology). The field has moved quickly over the past 40 years partly because the technology of genotyping and sequencing has forced it to adapt while adhering to the fundamental principles of genetics. In the last two decades, the available tools for genetic epidemiology have expanded from a genetic focus (considering 1 gene at a time) to a genomic focus (considering the entire genome), and now they must further expand to integrate information from other "-omics" (e.g., epigenomics, transcriptomics as measured by RNA expression) at both the individual and the population levels. Additionally, we can now also evaluate gene and environment interactions across populations to better understand exposure and the heterogeneity in disease risk. The future challenges facing genetic epidemiology are considerable both in scale and techniques, but the importance of the field will not diminish because by design it ties scientific goals with public health applications.

Update on the epidemiological typing methods for Acinetobacter baumannii.

The outstanding ability of Acinetobacter baumannii to cause outbreaks and acquire multidrug resistance motivated the development of a plethora of typing techniques, which can help infection preventionists and hospital epidemiologists to more efficiently implement intervention controls. Nowadays, the world is witnessing a gradual transition from traditional typing methodology to whole genome sequencing-based approaches. Such approaches are opening new prospects and applications never achieved by existing typing methods. Herein, we provide the reader with an updated review on A. baumannii typing methods recapping the added value of well-established techniques previously applied for A. baumannii and detailing new ones (as clustered regularly interspaced short palindromic repeats-based typing) with a special focus on whole genome sequencing.

The Future of Genomic Studies Must Be Globally Representative: Perspectives from PAGE.

The past decade has seen a technological revolution in human genetics that has empowered population-level investigations into genetic associations with phenotypes. Although these discoveries rely on genetic variation across individuals, association studies have overwhelmingly been performed in populations of European descent. In this review, we describe limitations faced by single-population studies and provide an overview of strategies to improve global representation in existing data sets and future human genomics research via diversity-focused, multiethnic studies. We highlight the successes of individual studies and meta-analysis consortia that have provided unique knowledge. Additionally, we outline the approach taken by the Population Architecture Using Genomics and Epidemiology (PAGE) study to develop best practices for performing genetic epidemiology in multiethnic contexts. Finally, we discuss how limiting investigations to single populations impairs findings in the clinical domain for both rare-variant identification and genetic risk prediction.

Contribution of whole-genome sequencing to understanding of the epidemiology and control of meticillin-resistant Staphylococcus aureus.

In recent years, approaches to tracking the spread of meticillin-resistant Staphylococcus aureus (MRSA) as part of outbreak management have used conventional DNA-based methods, including pulsed-field gel electrophoresis and spa typing. However, when a predominant clone is present, these methods may be insufficiently discriminatory. A literature search was undertaken to highlight how whole-genome sequencing (WGS) has revolutionized the investigation of outbreaks of MRSA, including intrahospital spread and MRSA in the community, and to review its future potential. WGS provides enhanced isolate discrimination, as it permits the entire genomic DNA sequence of isolates to be determined and compared rapidly. Software packages used for the analysis of WGS data are becoming increasingly available. To date, WGS has been more sensitive in confirming outbreaks, often persisting for prolonged periods, previously undetected by conventional molecular typing. The evolving dynamic of spread from the community to hospitals, within and between hospitals, and from hospitals to the community is only becoming clear with WGS studies, and is more complex and convoluted than widely appreciated. Also, WGS can exclude cross-transmission, when isolates are different. The challenges now are to make WGS technology more amenable for routine use, and to develop an evidence-based consensus for sequence difference thresholds for isolates that are deemed to be part of the same outbreak, including protracted outbreaks. Using such data in a timely way will provide increased sensitivity in detecting cross-transmission events at an earlier stage, with the potential to prevent outbreaks, and have a positive impact on infection prevention and control.

Experiences and perspectives on the return of secondary findings among genetic epidemiologists.

PURPOSE: While there has been a recent increase in scholarship around developing policies for the return of results from genetic sequencing, it is not clear whether these approaches are appropriate for genetic epidemiology studies. Because genetic epidemiological research increasingly utilizes genome sequencing methods, particularly in large data sets where researchers did not directly ascertain the subjects, it is important to understand researchers' perspectives on the return of results. METHODS: We conducted an online survey of members of the International Genetic Epidemiology Society to document the diversity of experiences and impressions regarding return of results. The survey contained both closed and open-ended questions. RESULTS: Among our respondents who enroll their own research participants, only 21% return secondary findings. Most respondents do not search their sequence data for clinically actionable findings not associated with their disease of interest. Many feel that genetic epidemiologists have a unique perspective on the return of results and that research studies should not follow the same procedures as clinical sequencing studies. CONCLUSION: Precision medicine initiatives that rely on both clinical and "big data" genomic research should account for variation in researcher perspectives and study design limitations when developing policies and standard practices regarding the return of results.

An introduction to the role of immunology in medical anthropology and molecular epidemiology.

Medical anthropology is a multi-disciplinary approach to the medical sciences and humanities. Immunology is of the basic medical sciences dealing with anthropology as a science which involves in recognition of self and non-self. We performed this review paper to introduce the role of immunology in medical anthropology and molecular epidemiology. This narrative review was based on the authors' original experience and current literature. We discussed about human leukocyte antigens (HLA) and killer-cell immunoglobulin-like receptors (KIR) and their disease associations. Bioinformatics and biostatistics help us to use this topic in evidence-based medicine. Immunogenetics is an important part of the molecular anthropology being a part of medical anthropology in turn. There were different notions of the integration of immunology and medical anthropology including environmental, ecological and cultural effects, historical and philosophical approaches, immunological biomarkers in different patients, and immunogenetics. Such studies can be used in pharmacogenomics and personalized medicine especially for immunotherapy.

Trends in Antibiotic Susceptibility in Staphylococcus aureus in Boston, Massachusetts, from 2000 to 2014.

The rate of infection by methicillin-resistant Staphylococcus aureus (MRSA) has declined over the past decade, but it is unclear whether this represents a decline in S. aureus infections overall. To evaluate the trends in the annual rates of infection by S. aureus subtypes and mean antibiotic resistance, we conducted a 15-year retrospective observational study at two tertiary care institutions in Boston, MA, of 31,753 adult inpatients with S. aureus isolated from clinical specimens. We inferred the gain and loss of methicillin resistance through genome sequencing of 180 isolates from 2016. The annual rates of infection by S. aureus declined from 2003 to 2014 by 4.2% (2.7% to 5.6%), attributable to an annual decline in MRSA of 10.9% (9.3% to 12.6%). Penicillin-susceptible S. aureus (PSSA) increased by 6.1% (4.2% to 8.1%) annually, and rates of methicillin-susceptible penicillin-resistant S. aureus (MSSA) did not change. Resistance in S. aureus decreased from 2000 to 2014 by 0.8 antibiotics (0.7 to 0.8). Within common MRSA clonal complexes, 3/14 MSSA and 2/21 PSSA isolates arose from the loss of resistance-conferring genes. Overall, in two tertiary care institutions in Boston, MA, a decline in S. aureus infections has been accompanied by a shift toward increased antibiotic susceptibility. The rise in PSSA makes penicillin an increasingly viable treatment option.

Genomic Epidemiology of Tuberculosis.

The application of next generation sequencing technologies has opened the door to a new molecular epidemiology of tuberculosis, in which we can now look at transmission at a resolution not possible before. At the same time, new technical and analytical challenges have appeared, and we are still exploring the wider potential of this new technology. Whole genome sequencing in tuberculosis still requires bacterial cultures. Thus, although whole genome sequencing has revolutionized the interpretation of transmission patterns, it is not yet ready to be applied at the point-of-care. In this chapter, I will review the promises and challenges of genomic epidemiology, as well as some of the new questions that have arisen from the use of this new technology. In addition, I will examine the role of molecular epidemiology within the general frame of global tuberculosis control and how genomic epidemiology can contribute towards the elimination of the disease.

Dengue in Latin America: Systematic Review of Molecular Epidemiological Trends.

Dengue, the predominant arthropod-borne viral disease affecting humans, is caused by one of four distinct serotypes (DENV-1, -2, -3 or -4). A literature analysis and review was undertaken to describe the molecular epidemiological trends in dengue disease and the knowledge generated in specific molecular topics in Latin America, including the Caribbean islands, from 2000 to 2013 in the context of regional trends in order to identify gaps in molecular epidemiological knowledge and future research needs. Searches of literature published between 1 January 2000 and 30 November 2013 were conducted using specific search strategies for each electronic database that was reviewed. A total of 396 relevant citations were identified, 57 of which fulfilled the inclusion criteria. All four dengue virus serotypes were present and co-circulated in many countries over the review period (with the predominance of individual serotypes varying by country and year). The number of countries in which more than one serotype circulated steadily increased during the period under review. Molecular epidemiology data were found for Argentina, Bolivia, Brazil, the Caribbean region, Colombia, Ecuador, Mexico and Central America, Paraguay, Peru and Venezuela. Distinct lineages with different dynamics were found in each country, with co-existence, extinction and replacement of lineages occurring over the review period. Despite some gaps in the literature limiting the possibility for comparison, our review has described the molecular epidemiological trends of dengue infection. However, several gaps in molecular epidemiological information across Latin America and the Caribbean were identified that provide avenues for future research; in particular, sequence determination of the dengue virus genome is important for more precise phylogenetic classification and correlation with clinical outcome and disease severity.

[Precision medicine: new opportunities and challenges for molecular epidemiology].

Since the completion of the Human Genome Project in 2003 and the announcement of the Precision Medicine Initiative by U.S. President Barack Obama in January 2015, human beings have initially completed the " three steps" of " genomics to biology, genomics to health as well as genomics to society". As a new inter-discipline, the emergence and development of precision medicine have relied on the support and promotion from biological science, basic medicine, clinical medicine, epidemiology, statistics, sociology and information science, etc. Meanwhile, molecular epidemiology is considered to be the core power to promote precision medical as a cross discipline of epidemiology and molecular biology. This article is based on the characteristics and research progress of medicine and molecular epidemiology respectively, focusing on the contribution and significance of molecular epidemiology to precision medicine, and exploring the possible opportunities and challenges in the future.

Genetic epidemiology of migraine and depression.

BACKGROUND: Migraine and major depressive disorder (commonly referred to as depression) are both common disorders with a significant impact on society. Studies in both clinical and community-based settings have demonstrated a strong relationship between migraine and depression. In addition to complicating the diagnosis, depression that is comorbid with migraine may lower treatment adherence, increase risk of medication overuse and is associated with migraine chronification, thus leading to higher direct and indirect costs and poorer health-related outcomes with increased disability. AIM: The aim of this review is to summarise the current knowledge on the genetic epidemiology of migraine and depression and the possible biological mechanisms underlying their comorbidity. METHODS: We present a narrative review reporting on the current literature. RESULTS AND CONCLUSIONS: Epidemiological findings indicate that there is a bidirectional relationship between migraine and depression, with one disorder increasing the risk for the other and vice versa, suggesting shared biological mechanisms. Twin and family studies indicate that this bidirectional relationship can be explained, at least partly, by shared underlying genetically determined disease mechanisms. Although no genes have been robustly associated with the aetiology of both migraine and depression, genes from serotonergic, dopaminergic and GABAergic systems together with variants in the MTHFR and BDNF genes remain strong candidates.

Twenty years of bacterial genome sequencing.

Twenty years ago, the publication of the first bacterial genome sequence, from Haemophilus influenzae, shook the world of bacteriology. In this Timeline, we review the first two decades of bacterial genome sequencing, which have been marked by three revolutions: whole-genome shotgun sequencing, high-throughput sequencing and single-molecule long-read sequencing. We summarize the social history of sequencing and its impact on our understanding of the biology, diversity and evolution of bacteria, while also highlighting spin-offs and translational impact in the clinic. We look forward to a 'sequencing singularity', where sequencing becomes the method of choice for as-yet unthinkable applications in bacteriology and beyond.

An overview of various typing methods for clinical epidemiology of the emerging pathogen Stenotrophomonas maltophilia.

Typing of bacterial isolates has been used for decades to study local outbreaks as well as in national and international surveillances for monitoring newly emerging resistant clones. Despite being recognized as a nosocomial pathogen, the precise modes of transmission of Stenotrophomonas maltophilia in health care settings are unknown. Due to the high genetic diversity observed among S. maltophilia clinical isolates, the typing results might be better interpreted if also environmental strains were included. This could help to identify preventative measures to be designed and implemented for decreasing the possibility of outbreaks and nosocomial infections. In this review, we attempt to provide an overview on the most common typing methods used for clinical epidemiology of S. maltophilia strains, such as PCR-based fingerprinting analyses, pulsed-field gel electrophoresis, multilocus variable number tandem repeat analysis, and multilocus sequence type. Application of the proteomic-based mass spectrometry by matrix-assisted laser desorption ionization-time of flight is also described. Improvements of typing methods already in use have to be achieved to facilitate S. maltophilia infection control at any level. In the near future, when novel Web-based platforms for rapid data processing and analysis will be available, whole genome sequencing technologies will likely become a highly powerful tool for outbreak investigations and surveillance studies in routine clinical practices.

An epidemiological perspective of personalized medicine: the Estonian experience.

The Estonian Biobank and several other biobanks established over a decade ago are now starting to yield valuable longitudinal follow-up data for large numbers of individuals. These samples have been used in hundreds of different genome-wide association studies, resulting in the identification of reliable disease-associated variants. The focus of genomic research has started to shift from identifying genetic and nongenetic risk factors associated with common complex diseases to understanding the underlying mechanisms of the diseases and suggesting novel targets for therapy. However, translation of findings from genomic research into medical practice is still lagging, mainly due to insufficient evidence of clinical validity and utility. In this review, we examine the different elements required for the implementation of personalized medicine based on genomic information. First, biobanks and genome centres are required and have been established for the high-throughput genomic screening of large numbers of samples. Secondly, the combination of susceptibility alleles into polygenic risk scores has improved risk prediction of cardiovascular disease, breast cancer and several other diseases. Finally, national health information systems are being developed internationally, to combine data from electronic medical records from different sources, and also to gradually incorporate genomic information. We focus on the experience in Estonia, one of several countries with national goals towards more personalized health care based on genomic information, where the unique combination of elements required to accomplish this goal are already in place.

Estudios de epidemiología molecular en población inmigrante en España / Molecular epidemiology studies on the immigrant population in Spain

Fundamentos: La epidemiología molecular es una nueva disciplina que permite la integración de la información sobre la variabilidad genética de patógenos infecciosos con su difusión en la población y subgrupos de la misma incluyendo, por ejemplo, las mutaciones de resistencia a antibióticos y antivirales. El objetivo es conocer qué posibles diferencias existe en las características genéticas de los agentes infecciosos que afectan a las poblaciones inmigrante y autóctoctona en España.. Métodos: Se revisaron artículos originales publicados entre 1998- 2013, con las palabras clave "epidemiología molecular", "tipado molecular", "secuenciación", "inmigrante", "España". Resultados: De un total de 267 artículos identificados inicialmente, 50 pasaron los diferentes filtros establecidos. De ellos, 36 analizan las infecciones por Mycobacterium tuberculosis y VIH, seguidos de los que analizan infecciones por Staphylococcus aureus (3) y el Virus de la Hepatitis B (3). Conclusiones: Los objetivos principales de estos trabajos fueron el tipado del patógeno y la determinación de la frecuencia de mutaciones de resistencia. Los estudios más frecuentes correspondieron a cohortes retrospectivas, seguidos por los estudios ecológicos y los ensayos clínicos. En general los estudios son descriptivos y su ámbito por el tipo y tamaño de muestra es bastante restringido. En varios se determina que las cepas o variantes del patógeno encontradas en inmigrantes tienen su origen más probable en sus países de origen, si bien otros también ponen de manifiesto la transmisión desde la población autóctona a la inmigrante (AU)

Background: Molecular epidemiology is a new scientific discipline which allows to integrate information on the genetic variation of infectious pathogens with their diffusion in a population and its subgroups including, for instance, resistance mutations to antibiotics and antiretrovirals. We present the results of an analysis of scientific publications that analyze the health status of the immigrant population in Spain from a molecular epidemiology perspective. Methods:We reviewed original articles published in 1998-2014 with he keywords "molecular epidemiology", "molecular typing", "sequencing", "immigrant", and "Spain". Results: Froma total of 267 articles identified initially, only 50 passed through the established filters. Most of them (36) analyzed infections by Mycobacterium tuberculosis (3) and HIV (3), followed at a large distance by Staphylococcus aureus and hepatitis B virus. The main goal of these works was the typing of the pathogen and to determine the frequency of resistance mutations. Conclusion: Is difficult to generalize the conclusions from the analyzed articles because most of them have a purely descriptive and quite restricted scope, considering the type and size of the samples studied. Several studies are focused on the most likely origin for the strains or variants of the pathogen but others also reveal transmissions from the local to the immigrant populations (AU)

Race and ancestry in the age of inclusion: technique and meaning in post-genomic science.

This article examines how race and ancestry are taken up in gene-environment interaction (GEI) research on complex diseases such as heart disease, diabetes, and cancer. Using 54 in-depth interviews of 33 scientists and over 200 hours of observation at scientific conferences, we explore how GEI researchers use and interpret race, ethnicity, and ancestry in their work. We find that the use of self-identified race and ethnicity (SIRE) exists alongside ancestry informative markers (AIMs) to ascertain genetic ancestry. Our participants assess the utility of these two techniques in relative terms, downplaying the accuracy and value of SIRE compared to the precision and necessity of AIMs. In doing so, we argue that post-genomic scientists seeking to understand the interactions of genetic and environmental disease determinants actually undermine their ability to do so by valorizing precise characterizations of individuals' genetic ancestry over measurement of the social processes and relations that differentiate social groups.