The Impact of Ethnicity and Genetic Ancestry on Disease Prevalence and Risk in Colombia

Genomic ancestry and cancer among Latin Americans

Latin American populations, characterized by intricate admixture patterns resulting from the intermingling of ancestries from European, Native American (NA) Asian, and African ancestries which result in a vast and complex genetic landscape, harboring unique combinations of novel variants. This genetic diversity not only poses challenges in traditional population genetics methods but also opens avenues for a deeper understanding of its implications in health. In cancer, the interplay between genetic ancestry, lifestyle factors, and healthcare disparities adds a layer of complexity to the varying incidence and mortality rates observed across different Latin American subpopulations. This complex interdependence has been unveiled through numerous studies, whether conducted on Latin American patients residing on the continent or abroad, revealing discernible differences in germline composition that influence divergent disease phenotypes such as higher incidence of Luminal B and Her2 breast tumors, EGFR and KRAS mutated lung adenocarcinomas in addition to an enrichment in BRCA1/2 pathogenic variants and a higher than expected prevalence of variants in colorectal cancer associated genes such as APC and MLH1. In prostate cancer novel risk variants have also been solely identified in Latin American populations. Due to the complexity of genetic divergence, inputs from each individual ancestry seem to carry independent contributions that interplay in the development of these complex disease phenotypes. By understanding these unique population characteristics, genomic ancestries hold a promising avenue for tailoring prognostic assessments and optimizing responses to oncological interventions.

Techniques, procedures, and applications in host genetic analysis

This chapter overviews genetic techniques' fundamentals and methodological features, including different approaches, analyses, and applications that have contributed to advancing health and disease. The aim is to describe laboratory methodologies and analyses employed to understand the genetic landscape of different biological contexts, from conventional techniques to cutting-edge technologies. Besides describing detailed aspects of the polymerase chain reaction (PCR) and derived types as one of the principles for many novel techniques, we also discuss microarray analysis, next-generation sequencing, and genome editing technologies such as transcription activator-like effector nucleases (TALENs) and the clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated (Cas) systems. These techniques study several phenotypes, ranging from autoimmune disorders to viral diseases. The significance of integrating diverse genetic methodologies and tools to understand host genetics comprehensively and addressing the ethical, legal, and social implications (ELSI) associated with using genetic information is highlighted. Overall, the methods, procedures, and applications in host genetic analysis provided in this chapter furnish researchers and practitioners with a roadmap for navigating the dynamic landscape of host-genome interactions.

Impact of the universal health insurance benefits on cervical cancer mortality in Colombia

BACKGROUND

Cervical cancer patients in Colombia have a lower likelihood of survival compared to breast cancer patients. In 1993, Colombia enrolled citizens in one of two health insurance regimes (contributory-private insurance and subsidized- public insurance) with fewer benefits in the subsidized regime. In 2008, the Constitutional Court required the Colombian government to unify services of both regimes by 2012. This study evaluated the impact of this insurance change on cervical cancer mortality before and after 2012.

METHODS

We accessed 24,491 cervical cancer mortality records for 2006-2020 from the vital statistics of Colombia's National Administrative Department of Statistics (DANE). We calculated crude mortality rates by health insurance type and departments (geopolitical division). Changes by department were analyzed by rate differences between 2006 and 2012 and 2013-2020, for each health insurance type. We analyzed trends using join-point regressions by health insurance and the two time-periods.

RESULTS

The contributory regime (private insurance) exhibited a significant decline in cervical cancer mortality from 2006 to 2012, characterized by a noteworthy average annual percentage change (AAPC) of -3.27% (P = 0.02; 95% CI [-5.81, -0.65]), followed by a marginal non-significant increase from 2013 to 2020 (AAPC 0.08%; P = 0.92; 95% CI [-1.63, 1.82]). In the subsidized regime (public insurance), there is a non-significant decrease in mortality between 2006 and 2012 (AAPC - 0.29%; P = 0.76; 95% CI [-2.17, 1.62]), followed by a significant increase from 2013 to 2020 (AAPC of 2.28%; P < 0.001; 95% CI [1.21, 3.36]). Examining departments from 2013 to 2020 versus 2006 to 2012, the subsidized regime showed fewer cervical cancer-related deaths in 5 out of 32 departments, while 6 departments had higher mortality. In 21 departments, mortality rates remained similar between both regimes.

CONCLUSION

Improvement of health benefits of the subsidized regime did not show a positive impact on cervical cancer mortality in women enrolled in this health insurance scheme, possibly due to unresolved administrative and socioeconomic barriers that hinder access to quality cancer screening and treatment.

Genetic ancestry and radical prostatectomy findings in Hispanic/Latino patients

Background

African ancestry is a known factor associated with the presentation and aggressiveness of prostate cancer (PC). Hispanic/Latino populations exhibit varying degrees of genetic admixture across Latin American countries, leading to diverse levels of African ancestry. However, it remains unclear whether genetic ancestry plays a role in the aggressiveness of PC in Hispanic/Latino patients. We explored the associations between genetic ancestry and the clinicopathological data in Hispanic/Latino PC patients from Colombia.

Patients and methods

We estimated the European, Indigenous and African genetic ancestry, of 230 Colombian patients with localized/regionally advanced PC through a validated panel for genotypification of 106 Ancestry Informative Markers. We examined the associations of the genetic ancestry components with the Gleason Grade Groups (GG) and the clinicopathological characteristics.

Results

No association was observed between the genetic ancestry with the biochemical recurrence or Gleason GG; however, in a two groups comparison, there were statistically significant differences between GG3 and GG4/GG5 for European ancestry, with a higher mean ancestry proportion in GG4/GG5. A lower risk of being diagnosed at an advanced age was observed for patients with high African ancestry than those with low African ancestry patients (OR: 0.96, CI: 0.92-0.99, p=0.03).

Conclusion

Our findings revealed an increased risk of presentation of PC at an earlier age in patients with higher African ancestry compared to patients with lower African ancestry in our Hispanic/Latino patients.

Ancestry-specific polygenic risk scores are risk enhancers for clinical cardiovascular disease assessments

Clinical implementation of new prediction models requires evaluation of their utility in a broad range of intended use populations. Here we develop and validate ancestry-specific Polygenic Risk Scores (PRSs) for Coronary Artery Disease (CAD) using 29,389 individuals from diverse cohorts and genetic ancestry groups. The CAD PRSs outperform published scores with an average Odds Ratio per Standard Deviation of 1.57 (SD = 0.14) and identify between 12% and 24% of individuals with high genetic risk. Using this risk factor to reclassify borderline or intermediate 10 year Atherosclerotic Cardiovascular Disease (ASCVD) risk improves assessments for both CAD (Net Reclassification Improvement (NRI) = 13.14% (95% CI 9.23-17.06%)) and ASCVD (NRI = 10.70 (95% CI 7.35-14.05)) in an independent cohort of 9,691 individuals. Our analyses demonstrate that using PRSs as Risk Enhancers improves ASCVD risk assessments outlining an approach for guiding ASCVD prevention with genetic information.

Genotypic and Phenotypic Composition of Sickle Cell Disease in the Arab Population - A Systematic Review

Sickle cell disease (SCD) is a genetic disease influenced by ethnicity and regional differences in its clinical course. Recent advances in the management of SCD with newer therapies are being introduced to the Western population. However, many of these treatments are yet to be used in the Arabic SCD population. Understanding the genetic variations of SCD regionally is essential to anticipate the utilization of new treatments. This systematic review's main objective is to pool the available data on the genetic composition of SCD in the Arabic population. Data for 44,034 patients was extracted from 184 studies (11 case reports, 8 case series, 56 retrospectives, 107 prospective observational studies, and 2 clinical trials) using PubMed, Scopus, and Google Scholar. Male (49%) and female (51%) patients were equally reported wherever gender was available (N=13105). Various SCD genotypes were reported in a total of 14,257 patients, including Hb SS (77%) Hb Sβ0 (9.9%), and Hb Sβ+ (7.2%), while the rest of the genotypes, including HbSC, HbSD, HbSE, HbSO Arab, Hb S/α-Thal, Hb Sβ0 + α-Thal, and HBS Oman were individually reported in <4% of the cases. Major SCD complications in the Arab population included pain crises (48.25%) followed by neurological complications (33.46%), hepatobiliary complications (25.53%), musculoskeletal complications (24.73%), and hemolytic anemia (23.57%). The treatments reported for SCD included hydroxyurea (20%), blood transfusion (14.32%), and Deferasirox (3.03%). We did not find the use of stem cell transplantation or newer treatments such as L-Glutamine, Voxelotor, Crizanlizumab, or gene therapy reported in any of the studies included in our review. This review highlights the genetic makeup of SCD in Arab countries and its common phenotypic manifestations and will help direct further research on SCD in this region, especially concerning genetic therapy.

Systematic Review Registration

The protocol has been registered in the International Prospective Register of Systematic Reviews(PROSPERO):CRD42020218,666. https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=218666.

A review of ancestrality and admixture in Latin America and the caribbean focusing on native American and African descendant populations

Genomics can reveal essential features about the demographic evolution of a population that may not be apparent from historical elements. In recent years, there has been a significant increase in the number of studies applying genomic epidemiological approaches to understand the genetic structure and diversity of human populations in the context of demographic history and for implementing precision medicine. These efforts have traditionally been applied predominantly to populations of European origin. More recently, initiatives in the United States and Africa are including more diverse populations, establishing new horizons for research in human populations with African and/or Native ancestries. Still, even in the most recent projects, the under-representation of genomic data from Latin America and the Caribbean (LAC) is remarkable. In addition, because the region presents the most recent global miscegenation, genomics data from LAC may add relevant information to understand population admixture better. Admixture in LAC started during the colonial period, in the 15th century, with intense miscegenation between European settlers, mainly from Portugal and Spain, with local indigenous and sub-Saharan Africans brought through the slave trade. Since, there are descendants of formerly enslaved and Native American populations in the LAC territory; they are considered vulnerable populations because of their history and current living conditions. In this context, studying LAC Native American and African descendant populations is important for several reasons. First, studying human populations from different origins makes it possible to understand the diversity of the human genome better. Second, it also has an immediate application to these populations, such as empowering communities with the knowledge of their ancestral origins. Furthermore, because knowledge of the population genomic structure is an essential requirement for implementing genomic medicine and precision health practices, population genomics studies may ensure that these communities have access to genomic information for risk assessment, prevention, and the delivery of optimized treatment; thus, helping to reduce inequalities in the Western Hemisphere. Hoping to set the stage for future studies, we review different aspects related to genetic and genomic research in vulnerable populations from LAC countries.

Pharmacogenomic profile of actionable molecular variants related to drugs commonly used in anesthesia: WES analysis reveals new mutations

Background: Genetic interindividual variability is associated with adverse drug reactions (ADRs) and affects the response to common drugs used in anesthesia. Despite their importance, these variants remain largely underexplored in Latin-American countries. This study describes rare and common variants found in genes related to metabolism of analgesic and anaesthetic drug in the Colombian population. Methods: We conducted a study that included 625 Colombian healthy individuals. We generated a subset of 14 genes implicated in metabolic pathways of common medications used in anesthesia and assessed them by whole-exome sequencing (WES). Variants were filtered using two pipelines: A) novel or rare (minor allele frequency-MAF <1%) variants including missense, loss-of-function (LoF, e.g., frameshift, nonsense), and splice site variants with potential deleterious effect and B) clinically validated variants described in the PharmGKB (categories 1, 2 and 3) and/or ClinVar databases. For rare and novel missense variants, we applied an optimized prediction framework (OPF) to assess the functional impact of pharmacogenetic variants. Allelic, genotypic frequencies and Hardy-Weinberg equilibrium were calculated. We compare our allelic frequencies with these from populations described in the gnomAD database. Results: Our study identified 148 molecular variants potentially related to variability in the therapeutic response to 14 drugs commonly used in anesthesiology. 83.1% of them correspond to rare and novel missense variants classified as pathogenic according to the pharmacogenetic optimized prediction framework, 5.4% were loss-of-function (LoF), 2.7% led to potential splicing alterations and 8.8% were assigned as actionable or informative pharmacogenetic variants. Novel variants were confirmed by Sanger sequencing. Allelic frequency comparison showed that the Colombian population has a unique pharmacogenomic profile for anesthesia drugs with some allele frequencies different from other populations. Conclusion: Our results demonstrated high allelic heterogeneity among the analyzed sampled, enriched by rare (91.2%) variants in pharmacogenes related to common drugs used in anesthesia. The clinical implications of these results highlight the importance of implementation of next-generation sequencing data into pharmacogenomic approaches and personalized medicine.

Sleep problems in low income, urban pediatric populations living at different altitudes in Colombia

OBJECTIVE

To determine the frequency of sleep problems in low-income, urban pediatric populations in cities at different altitudes in Colombia.

METHODS

A descriptive, cross-sectional population-based observational study was conducted in children aged between 2 and 12 years in the low income, urban areas of three cities in Colombia (Santa Marta, Bucaramanga, and Bogotá) located at 15, 959, and 2640 m above sea level, respectively. Sociodemographic data were collected, and the Spanish version of the Pediatric Sleep Questionnaire was used.

RESULTS

1989 children were surveyed, distributed as follows: Santa Marta (32.0%), Bucaramanga (33.4%), and Bogotá (34.6%). The overall prevalence of sleep problems was 39.0%. Children from Santa Marta had the highest frequency of parasomnias (58.0%); those from Bucaramanga had the highest frequency of attention deficit symptoms (4.0%) and apneic pauses witnessed by parents or caregivers (5.7%). Finally, Bogotá, the only high-altitude location, had the highest frequency of sleep disordered breathing (17.2%).

CONCLUSIONS

The study found a high frequency of sleep problems in the pediatric population, especially at higher altitudes when compared to lower altitude settings. Sleep disorders warrant early detection and timely therapeutic intervention.

Factors associated with meeting the WHO physical activity recommendations in pregnant Colombian women

In the absence of medical contraindications, physical activity (PA) can offer health maternal and fetal health outcomes during pregnancy. However, most pregnant women may not consider PA to be feasible, suitable and safe. Hence, it is essential to determine the prevalence of pregnant women who meet the PA recommendations and the possible factors associated with that meeting, since it might be important from the perspective of pregnant women's health. The aim of the present study was to establish the prevalence of meeting the World Health Organization PA recommendations for Colombian pregnant women, as well as possible factors that may be associated with meeting that recommendations. A cross-sectional study including representative data from the National Nutritional Situation Survey (2015) in Colombia was performed. Data were collected in 2015-2016. From an initial sample of 1140 Colombian pregnant women, 702 participants with complete data were included in the final analysis. PA was assessed by self-reported information through the long version of the International Physical Activity Questionnaire. Several potential factors were analysed according to four levels of the socioecological model: the individual, interpersonal, organizational and community levels. The prevalence of Colombian pregnant women who met with the PA recommendations was 7.5%. Indigenous and Mestizo pregnant women showed lower probabilities of meeting the PA recommendations [Indigenous: OR 0.05, 95% CI (0.01-0.18); Mestizo: OR 0.12, 95% CI (0.06-0.22)] than Afro-Colombian participants. Additionally, participants who lived near green and safe spaces for PA were more likely to meet the PA recommendations [OR 2.30, 95% CI (1.06-4.79)] than those who did not live near green areas. In conclusion, a low percentage of Colombian pregnant women met the new PA recommendations. The associations found according to race/ethnicity and living near green and safe areas underline the presence of fundamental disparities associated with meeting PA recommendations.