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Biology subjects

Naslavsky, M. S.

Publications and source records attributed to Naslavsky, M. S..

5 recordsLinked to original sources

Is APOE ε2 always a protective allele? Deviations in Hardy-Weinberg equilibrium in admixed Brazilian elderly individuals

The APOE gene is a critical determinant of human healthspan and longevity, with the rare{varepsilon} 2 allele traditionally viewed as a universal protective factor against Alzheimer s disease (AD) and a driver of exceptional lifespan. However, this protective paradigm is predominantly derived from European-centric cohorts, leaving the evolutionary and clinical impacts of{varepsilon} 2 across diverse, highly admixed populations largely unknown due to a lack of local ancestry (LA) resolution. To investigate how local genomic backgrounds modulate APOE survival dynamics we analyzed two Brazilian sample collection of older adults from Sao Paulo city: the Biobank for Aging Studies (BAS, n = 716), a post-mortem autopsy study of naturally deceased individuals; and the Health, Well-being and Aging Study (SABE, n = 952), a census-based elderly sample collection. We evaluated deviations from Hardy-Weinberg equilibrium (HWE) using robust permutation-based models to capture ongoing selective and mortality pressures at the APOE locus. While global APOE frequencies adhered to HWE, integrating LA unveiled striking, mirrored ancestral deviations. Our findings reveal that APOE {varepsilon}2 homozygotes with African ancestry significantly contribute to deviations from HWE in the BAS, with an excess of {varepsilon}2AFR/{varepsilon}2AFR homozygotes observed (p = 0.0196). These distinct HWE deviations demonstrate that an African LA background acts as a genetic buffer, attenuating the phenotypic extreme effects of APOE alleles. Furthermore, we observed an excess of the{varepsilon} 4 European haplotypes in the BAS, which is consistent with a mortality pressure allelic effect in the European LA context. Conversely, the{varepsilon} 4AFR/{varepsilon}4AFR combination was overrepresented in the SABE. While this buffering mechanism mitigates{varepsilon} 4 toxicity, it simultaneously dampens the exceptional longevity advantage typically conferred by the{varepsilon} 2 allele, leading to its neutral accumulation in the post-mortem cohort. Our study challenges the "one-size-fits-all" assumption of APOE biomarkers, demonstrating that{varepsilon} 2 protective mechanisms are context-dependent and modulated by local genomic backgrounds in admixed populations.

genetics↗

Optimal HLA imputation of admixed population with dimension reduction

Human genomics has quickly evolved, powering genome-wide association studies (GWASs). SNP-based GWASs cannot capture the intense polymorphism of HLA genes, highly associated with disease susceptibility. There are methods to statistically impute HLA genotypes from SNP-genotypes data, but lack of diversity in reference panels hinders their performance. We evaluated the accuracy of the 1,000 Genomes data as a reference panel for imputing HLA from admixed individuals of African and European ancestries, focusing on (a) the full dataset, (b) 10 replications from 6 populations, (c) 19 conditions for the custom reference panels. The full dataset outperformed smaller models, with a good F1-score of 0.66 for HLA-B. However, custom models outperformed the multiethnic or population models of similar size (F1-scores up to 0.53, against up to 0.42). We demonstrated the importance of using genetically specific models for imputing admixed populations, which are currently underrepresented in public datasets, opening the door to HLA imputation for every genetic population.

genomics↗

Genetic variability in COVID-19-related genes in the Brazilian population

SARS-CoV-2 employs the angiotensin-converting enzyme 2 (ACE2) receptor and the transmembrane serine protease (TMPRSS2) to infect human lung cells. Previous studies have suggested that different host genetic backgrounds in ACE2 and TMPRSS2 could contribute to differences in the rate of infection or severity of COVID-19. Recent studies also showed that variants in 15 genes related to type I interferon immunity to influenza virus could predispose to life-threatening COVID-19 pneumonia. Additional genes (SLC6A20, LZTFL1, CCR9, FYCO1, CXCR6, XCR1, IL6, CTSL, ABO, and FURIN) and HLA alleles have also been implicated in response to infection with SARS-CoV-2. Currently, Brazil has recorded the third-highest number of COVID-19 patients worldwide. We aim to investigate the genetic variation present in COVID-19-related genes in the Brazilian population. We analysed 27 candidate genes and HLA alleles in 954 admixed Brazilian exomes. We used the information available in two public databases (http://www.bipmed.org and http://abraom.ib.usp.br/), and additional exomes from individuals born in southeast Brazil, the region with the highest number of COVID-19 patients in the country. Variant allele frequencies were compared with the 1000 Genomes Project phase 3 (1KGP) and the gnomAD databases. We found 395 non-synonymous variants; of these, 325 were also found in the 1000 Genome Project phase 3 (1KGP) and/or gnomAD. Six of these variants were previously reported as putatively influencing the rate of infection or clinical prognosis for COVID-19. The remaining 70 variants were identified exclusively in the Brazilian sample, with a mean allele frequency of 0.0025. In silico prediction of the impact in protein function revealed that three of these rare variants were pathogenic. Furthermore, we identified HLA alleles that were previously associated with COVID-19 response at loci DQB1 and DRB1. Our results showed genetic variability common to other populations, but also rare and ultra-rare variants exclusively found in the Brazilian population. These findings could potentially lead to differences in the rate of infection or response to infection by SARS-CoV-2 and should be further investigated in patients with the disease.

genetics↗

Whole-genome sequencing of 1,171 elderly admixed individuals from the largest Latin American metropolis (Sao Paulo, Brazil)

As whole-genome sequencing (WGS) becomes the gold standard tool for studying population genomics and medical applications, data on diverse non-European and admixed individuals are still scarce. Here, we present a high-coverage WGS dataset of 1,171 highly admixed elderly Brazilians from a census-based cohort, providing over 76 million variants, of which ~2 million are absent from large public databases. WGS enabled identifying ~2,000 novel mobile element insertions, nearly 5Mb of genomic segments absent from human genome reference, and over 140 novel alleles from HLA genes. We reclassified and curated nearly four hundred variant's pathogenicity assertions in genes associated with dominantly inherited Mendelian disorders and calculated the incidence for selected recessive disorders, demonstrating the clinical usefulness of the present study. Finally, we observed that whole-genome and HLA imputation could be significantly improved compared to available datasets since rare variation represents the largest proportion of input from WGS. These results demonstrate that even smaller sample sizes of underrepresented populations bring relevant data for genomic studies, especially when exploring analyses allowed only by WGS.

genomics↗

Admixture/fine-mapping in Brazilians reveals a West African associated potential regulatory variant (rs114066381) with a strong female-specific effect on body mass- and fat mass-indexes

Admixed populations are a resource to study the global genetic architecture of complex phenotypes, which is critical, considering that non-European populations are severely under-represented in genomic studies. Leveraging admixture in Brazilians, whose chromosomes are mosaics of fragments of Native American, European and African origins, we used genome-wide data to perform admixture mapping/fine-mapping of Body Mass Index (BMI) in three population-based cohorts from Northeast (Salvador), Southeast (Bambui) and South (Pelotas) of the country. We found significant associations with African-associated alleles in children from Salvador (PALD1 and ZMIZ1 genes), and in young adults from Pelotas (NOD2 and MTUS2 genes). More importantly, in Pelotas, rs114066381, mapped in a potential regulatory region, is significantly associated only in females (p= 2.76 e-06). This variant is very rare in Europeans but with frequencies of ~3% in West Africa, and has a strong female-specific effect (95%CI: 2.32-5.65 kg/m2 per each A allele). We confirmed this sex-specific association and replicated its strong effect for an adjusted fat-mass index in the same Pelotas cohort, and for BMI in another Brazilian cohort from Sao Paulo (Southeast Brazil). A meta-analysis confirmed the significant association. Remarkably, we observed that while the frequency of rs114066381-A allele ranges from 0.8 to 2.1% in the studied populations, it attains ~9% among morbidly obese women from Pelotas, Sao Paulo, and Bambui. The effect size of rs114066381 is at least five-times the effect size of the FTO SNPs rs9939609 and rs1558902, already emblematic for their high effects, and for which we replicated associations in Pelotas. We demonstrate how, after a decade of GWAS mostly performed in European-ancestry populations, non-European and admixed populations are a source of new relevant phenotype-associated genetic variants.

genetics↗