Luciana Bastos-Rodrigues

Ancestral Genomes, Sex, and the Population Structure of Trypanosoma cruzi

Acquisition of detailed knowledge of the structure and evolution of Trypanosoma cruzi populations is essential for control of Chagas disease. We profiled 75 strains of the parasite with five nuclear microsatellite loci, 24Sα RNA genes, and sequence polymorphisms in the mitochondrial cytochrome oxidase subunit II gene. We also used sequences available in GenBank for the mitochondrial genes cytochrome B and NADH dehydrogenase subunit 1. A multidimensional scaling plot (MDS) based in microsatellite data divided the parasites into four clusters corresponding to T. cruzi I (MDS-cluster A), T. cruzi II (MDS-cluster C), a third group of T. cruzi strains (MDS-cluster B), and hybrid strains (MDS-cluster BH). The first two clusters matched respectively mitochondrial clades A and C, while the other two belonged to mitochondrial clade B. The 24Sα rDNA and microsatellite profiling data were combined into multilocus genotypes that were analyzed by the haplotype reconstruction program PHASE. We identified 141 haplotypes that were clearly distributed into three haplogroups (X, Y, and Z). All strains belonging to T. cruzi I (MDS-cluster A) were Z/Z, the T. cruzi II strains (MDS-cluster C) were Y/Y, and those belonging to MDS-cluster B (unclassified T. cruzi) had X/X haplogroup genotypes. The strains grouped in the MDS-cluster BH were X/Y, confirming their hybrid character. Based on these results we propose the following minimal scenario for T. cruzi evolution. In a distant past there were at a minimum three ancestral lineages that we may call, respectively, T. cruzi I, T. cruzi II, and T. cruzi III. At least two hybridization events involving T. cruzi II and T. cruzi III produced evolutionarily viable progeny. In both events, the mitochondrial recipient (as identified by the mitochondrial clade of the hybrid strains) was T. cruzi II and the mitochondrial donor was T. cruzi III.

DNA tests probe the genomic ancestry of Brazilians

We review studies from our laboratories using different molecular tools to characterize the ancestry of Brazilians in reference to their Amerindian, European and African roots. Initially we used uniparental DNA markers to investigate the contribution of distinct Y chromosome and mitochondrial DNA lineages to present-day populations. High levels of genetic admixture and strong directional mating between European males and Amerindian and African females were unraveled. We next analyzed different types of biparental autosomal polymorphisms. Especially useful was a set of 40 insertion-deletion polymorphisms (indels) that when studied worldwide proved exquisitely sensitive in discriminating between Amerindians, Europeans and Sub-Saharan Africans. When applied to the study of Brazilians these markers confirmed extensive genomic admixture, but also demonstrated a strong imprint of the massive European immigration wave in the 19th and 20th centuries. The high individual ancestral variability observed suggests that each Brazilian has a singular proportion of Amerindian, European and African ancestries in his mosaic genome. In Brazil, one cannot predict the color of persons from their genomic ancestry nor the opposite. Brazilians should be assessed on a personal basis, as 190 million human beings, and not as members of color groups.

The genetic structure of human populations studied through short insertion-deletion polymorphisms.

In a landmark study Rosenberg et al. (2002) analyzed human genome diversity with 377 microsatellites in the HGDP‐CEPH Genome Diversity Panel and reported that the populations were structured into five geographical regions: America, Sub‐Saharan Africa, East Asia, Oceania and a cluster composed of Europe, the Middle East and Central Asia. They also observed that the within‐population component accounted for 93–95%, and that the among‐regions portion was only 3.6%, of the total genetic variance. We have also studied the HGDP‐CEPH Diversity Panel (1064 individuals from 52 populations) with a set of 40 biallelic slow‐evolving short insertion‐deletion polymorphisms (indels). We confirmed the partition of worldwide diversity into five genetic clusters that correspond to major geographic regions. Using the indels we have also disclosed an among‐regions component of genetic variance considerably larger (12.1%) than had been estimated using microsatellites. Our study demonstrates that a set of 40 well‐chosen biallelic markers is sufficient for the characterization of human population structure at the global level.

Color, Race, and Genomic Ancestry in Brazil Dialogues between Anthropology and Genetics

In the contemporary world, “race” narratives are so multifaceted that at times, different views of the concept appear mutually incompatible. In recent decades biologists, especially geneticists, have repeatedly stated that the notion of race does not apply to the human species. On the other hand, social scientists claim that race is highly significant in cultural, historical, and socioeconomic terms because it molds everyday social relations and because it is a powerful motivator for social and political movements based on race differences. In this paper we present the results of an interdisciplinary research project incorporating approaches from genetics and anthropology. Our objective is to explore the interface between information about biology/genetics and perceptions about color/race in Rio de Janeiro, Brazil. We argue that the data and interpretation of our research resonate far beyond the local level, stimulating discussion about methodological, theoretical, and political issues of wider national and international relevance. Topics addressed include the complex terminology of color/race classification in Brazil, perceptions about ancestry in the context of ideologies of Brazilian national identity, and the relationship between genetic information about the Brazilian population and a sociopolitical agenda that turns on questions of race and racism.

Self-reported skin color, genomic ancestry and the distribution of GST polymorphisms

Background and objective Skin color and self-reported ethnicity have systematically been used in the pharmacogenetic/-genomic literature as phenotypic proxies for geographical ancestry. Population admixture, however, challenges the appropriateness of this approach. We compared the effectiveness of color-based and marker-based biogeographical ancestry classifications in typing polymorphisms in GSTM1, GSTM3 and GSTT1 in the heterogeneous Brazilian population. Methods Individual DNA from 335 healthy Brazilians was typed for a set of insertion/deletion polymorphisms, previously validated as ancestry informative markers. GSTM1-null and GSTT1-null polymorphisms were detected by multiplex PCR and the GSTM3*B polymorphism by restriction-fragment length polymorphism. Nonlinear logistic regression modeling was developed to describe the association between the GST polymorphisms and ancestry estimated by the ancestry informative markers. Results Analysis of the ancestry informative markers data with the Structure software revealed the existence of only two significant clusters, one of which was inferred to be an estimate of the African component of ancestry. Nonlinear logistic regression showed that the odds of having the GSTM1-null genotype decreases (P<0.0004, Wald statistics), whereas the odds of having the GSTM3*B allele increases (P<0.0001) with the increase of the African component of ancestry, throughout the range (0.13–0.95) observed in the population sample. The African component of ancestry proportion was not associated with GSTT1-null frequency. Within the self-reported Black and Intermediate groups, there were significant differences in ancestry informative markers between GSTM1-null and non-null individuals, and between carriers and noncarriers of the GSTM3*B allele. Conclusions Interethnic admixture is a source of cryptic population structure that may lead to spurious genotype–phenotype associations in pharmacogenetic/-genomic studies. Logistic regression modeling of GST polymorphisms shows that admixture must be dealt with as a continuous variable, rather than proportioned in arbitrary subcategories for the convenience of data quantification and analysis.

Genetic interaction between NAT2, GSTM1, GSTT1, CYP2E1, and environmental factors is associated with adverse reactions to anti-tuberculosis drugs.

BackgroundAdverse drug reactions (ADRs) associated with anti-tuberculosis (anti-TB) drug regimens have considerable impact on anti-TB treatment, potentially leading to unsuccessful outcomes. Nevertheless, the risk factors that play a role in anti-TB drug-induced ADRs are not well established. It is well documented that genetic polymorphisms in drug-metabolizing enzymes (DMEs) result in considerably complex variability in anti-TB drug disposition. In addition, the impact of pharmacogenetic variation on the metabolism of anti-TB drugs may be modifiable by environmental exposure. Thus, an assessment of pharmacogenetic variability combined with biomarkers of environmental exposure may be helpful for demonstrating the effect of the gene-environment interaction on susceptibility to ADRs induced by anti-TB drug therapy.ObjectiveThe aim of the study was to investigate the impact of the interaction between environmental risk factors and pharmacogenetic polymorphisms in four common DMEs — N-acetyltransferase 2 (arylamine N-acetyltransferase) [NAT2], glutathione S-transferase theta 1 [GSTT1], glutathione S-transferase mu 1 [GSTM1], and cytochrome P450 2E1 [CYP2E1] — on commonly reported ADRs to first-line anti-TB drugs in 129 patients receiving homogeneous TB treatment.MethodsTB patients monitored during drug treatment were divided into subgroups according to the presence or absence of ADRs. Additionally, the patients’ clinical and demographic characteristics were collected in order to identify the environmental factors that are potential triggers for ADRs induced by anti-TB drug treatment. Pharmacogenetic variability was determined by gene sequencing, TaqMan® assays, or polymerase chain reaction.ResultsThe findings of this study suggest that the NAT2 slow acetylator haplotype, female sex, and smoking are important determinants of susceptibility to ADRs induced by anti-TB drugs. Patients carrying multiple, but not single, polymorphisms in the NAT2, GSTM1, GSTT1, and CYP2E1 genes were found to have an increased risk of ADRs, as revealed by gene-gene interaction analysis. Moreover, we also identified meaningful gene-environment interaction models that resulted in the highest levels of ADR risk.ConclusionThe study findings provide evidence of the clinical impact of the interaction between pharmacogenetic variability and environmental factors on ADRs induced by anti-TB drug therapy. Predictive pharmacogenetic testing and a comprehensive clinical history would therefore be helpful for identification and careful monitoring of patients at high risk of this complication.

Sociodemographic characteristics, clinical factors, and genetic polymorphisms associated with Alzheimer's disease

Alzheimers disease (AD) has a multifactorial etiology involving an interaction of genetic and environmental factors. The Apolipoprotein E ε4 (ApoE ε4) is the single most important genetic risk factor for sporadic AD. Our aim was to study the association between sociodemographic, clinical data and gene polymorphisms in patients with sporadic AD in a heterogeneous genomic Brazilian population with low educational levels.

The contribution of FTO and UCP-1 SNPs to extreme obesity, diabetes and cardiovascular risk in Brazilian individuals

BackgroundObesity has become a common human disorder associated with significant morbidity and mortality and adverse effects on quality of life. Sequence variants in two candidate genes, FTO and UCP-1, have been reported to be overrepresented in obese Caucasian population. The association of these genes polymorphisms with the obesity phenotype in a multiethnic group such as the Brazilian population has not been previously reported.MethodsTo assess the putative contribution of both FTO and UCP-1 to body mass index (BMI) and cardiovascular risk we genotyped SNPs rs9939609 (FTO) and rs6536991, rs22705565 and rs12502572 (UCP-1) from 126 morbidly obese subjects (BMI 42.9 ± 5.6 kg/m2, mean ± SE) and 113 normal-weight ethnically matched controls (BMI 22.6 ± 3.5 kg/m2, mean ± SE). Waist circumference, blood pressure, glucose and serum lipids were also measured. Each sample was also genotyped for 40 biallelic short insertion/deletion polymorphism (indels) for ethnic assignment and to estimate the proportion of European, African and Amerindian biogeographical ancestry in the Brazilian population.ResultsCases did not differ from controls in the proportions of genomic ancestry. The FTO SNP rs9939609 and UCP-1 SNP rs6536991 were significantly associated with BMI (p= 0.04 and p<0.0001 respectively). An allele dose dependent tendency was observed for BMI for rs6536991 sample of controls. No other significant associations between any SNP and hypertension, hyperlipidemia and diabetes were noted after correction for BMI and no significant synergistic effect between FTO and UCP-1 SNPs with obesity were noted. There was not an association between rs9939609 (FTO) and rs6536991 (UCP-1) in with maximum weight loss after 1 year in 94 obese patients who underwent bariatric surgery.ConclusionOur data are consistent with FTO rs9939609 and UCP-1 rs6536991 common variants as contributors to obesity in the Brazilian population.

Spectrum of somatic EGFR, KRAS, BRAF, PTEN mutations and TTF-1 expression in Brazilian lung cancer patients.

Lung cancer is the leading global cause of cancer-related mortality. Inter-individual variability in treatment response and prognosis has been associated with genetic polymorphisms in specific genes: EGFR, KRAS, BRAF, PTEN and TTF-1. Somatic mutations in EGFR and KRAS genes are reported at rates of 15-40% in non-small cell lung cancer (NSCLC) in ethnically diverse populations. BRAF and PTEN are commonly mutated genes in various cancer types, including NSCLC, with PTEN mutations exerting an effect on the therapeutic response of EGFR/AKT/PI3K pathway inhibitors. TTF-1 is expressed in approximately 80% of lung adenocarcinomas and its positivity correlates with higher prevalence of EGFR mutation in this cancer type. To determine molecular markers for lung cancer in Brazilian patients, the rate of the predominant EGFR, KRAS, BRAF and PTEN mutations, as well as TTF-1 expression, was assessed in 88 Brazilian NSCLC patients. EGFR exon 19 deletions (del746-750) were detected in 3/88 (3·4%) patients. Activating KRAS mutations in codons 12 and 61 were noted in five (5·7%) and two (2·3%) patients, respectively. None of the common somatic mutations were detected in either the BRAF or PTEN genes. TTF-1 was overexpressed in 40·7% of squamous-cell carcinoma (SCC). Our findings add to a growing body of data that highlights the genetic heterogeneity of the abnormal EGFR pathway in lung cancer among ethnically diverse populations.

The rate of recurrent BRCA1, BRCA2, and TP53 mutations in the general population, and unselected ovarian cancer cases, in Belo Horizonte, Brazil

In Brazil, several recurring mutations in BRCA1 and BRCA2 and a TP53 mutation (R337H) have been reported in high risk breast cancer cases. We hypothesized that these recurring mutations may also be detected in the general population and ovarian cancer cases in the state of Minas Gerais. To test this notion, participants were recruited from the outpatient and the Gynecological clinic in the UFMG Medical Center in Belo Horizonte, Minas Gerais, Brazil. BRCA1 (c.68_69delAG, c.5266dupC, c.181T>G, c.4034delA, c.5123C>A), BRCA2 (c.5946delT, c.8537_8538delAG, 4936_4939delGAAA), the c.156_157insAlu* BRCA2 and the c.1010G>A *TP53 mutation were genotyped using validated techniques. Overall, 513 cancer free participants (273 men) (mean age 47.7 ± 15.1 years) and 103 ovarian cancer cases (mean age at diagnosis 58.7 ± 9.6 years) were studied. None of the participants were found to carry any of the genotyped mutations. We conclude that the recurring mutations in BRCA1, BRCA2 and TP53 cannot be detected in the general population or consecutive ovarian cancer cases in this geographical region in Brazil.