Biology subjects

Feliciano-Astacio, B. E.

Publications and source records attributed to Feliciano-Astacio, B. E..

4 recordsLinked to original sources

bioRxiv2025

Multi-ancestry Transcriptome-Wide Association Study Reveals Shared and Population-Specific Genetic Effects in Alzheimer's Disease

Alzheimers disease (AD) risk differs across ancestral populations, yet most genetic studies have focused on non-Hispanic White (NHW) cohorts. We conducted a multi-population transcriptome-wide association study (TWAS) using whole-blood RNA-seq and genotype data from NHW (n=235), African American (AA; n=224), and Hispanic (HISP; n=292) MAGENTA participants. Using SuShiE for multi-population cis-eQTL fine-mapping, we identified credible sets for 8,748 genes, improving fine-mapping precision relative to analyses using fewer populations. cis-eQTL effects were largely shared across populations, with a subset showing population-specific regulation. We performed population-stratified TWAS of AD and inverse variance-weighted meta-analysis, followed by gene-level TWAS fine-mapping (MA-FOCUS), prioritizing nine genes (FDR<0.05, PIP>0.8), including established AD loci (BIN1, PTK2B, DMPK) with broadly consistent effects across populations. At BIN1, fine-mapped cis-eQTL variants used in the TWAS prediction model highlighted rs11682128, which is only modestly correlated with the GWAS index SNP rs6733839 (r2 {approx} 0.34), demonstrating how integrating eQTL fine-mapping with TWAS can refine signals beyond sentinel GWAS variants. We also identified an association between COG4 expression and AD in NHW, implicating Golgi-related pathways. Using independent SuShiE-derived models from TOPMed MESA (PBMC), several signals replicated directionally across ancestries, with the strongest statistical support in NHW. Overall, multi-population eQTL fine-mapping improves model interpretability and helps resolve shared and population-specific regulatory mechanisms relevant to AD.

genomics↗

bioRxiv2024

Methylation Clocks Do Not Predict Age or Alzheimer's Disease Risk Across Genetically Admixed Individuals

Epigenetic aging clocks based on DNA methylation patterns across the genome have emerged as a potential biomarker for risk of age-related diseases, like Alzheimers disease (AD), and environmental and social stressors. However, methylation clocks have not been comprehensively validated in genetically diverse individuals. Here we evaluate a set of first-, second-, and third-generation methylation clocks in 621 AD patients and matched controls from African American, Hispanic, and White cohorts. The clocks are less accurate at predicting age in genetically admixed cohorts compared to the White cohort, especially for those with substantial African ancestry. This decreased accuracy holds in >2,500 individuals of European and African ancestry from three additional datasets. The clocks also fail to consistently identify age acceleration in admixed AD cases compared to controls. To explore potential causes for the lack of generalization of the clocks, we intersected clock CpGs with methylation, germline genetic variants, and methylation QTL (meQTL) data from global populations. We find differential methylation between African and European ancestry individuals is common for clock CpGs. Genetic variants rarely disrupt clock CpGs between populations, but a substantial fraction of clock CpGs have meQTL with significantly higher frequencies in African genetic ancestries. Our results demonstrate that methylation clocks often fail to predict age and AD risk when applied across populations and suggest avenues for improving their portability by considering differences in genetic and epigenetic patterns across human populations.

genomics↗

bioRxiv2024

Gene expression and chromatin accessibility comparison in iPSC-derived microglia in African, European, and Amerindian genomes in Alzheimer's patients and controls.

Alzheimers disease (AD) risk differs between population groups, with African Americans and Hispanics being the most affected groups compared to non-Hispanic Whites. Genetic factors contribute significant risk to AD, but the genetic regulatory architectures (GRA) have primarily been studied in Europeans. Many AD genes are expressed in microglia; thus, we explored the impact of genetic ancestry (Amerindian (AI), African (AF), and European (EU)) on the GRA in iPSC-derived microglia from 13 individuals ([~]4 each with high global ancestry, AD and controls) through ATAC-seq and RNA-seq analyses. We identified several differentially accessible and expressed genes (2 and 10 AD-related, respectively) between ancestry groups. We also found a high correlation between the transcriptomes of iPSC-derived and brain microglia, supporting their use in human studies. This study provides valuable insights into genetically diverse microglia beyond the analysis of AD.

genomics↗

bioRxiv2020

Linkage Analysis in Caribbean Hispanic Families with Puerto Rican Ancestry Idenitfies an Alzheimer Disease Locus on chromosome 9.

BackgroundThe ancestral genetic heterogeneity (admixture) of Caribbean Hispanics makes studies of this population critical to the discovery of ancestry-specific genetic factors in Alzheimer disease. In this study, we performed whole genome sequencing in multiplex Caribbean Hispanic Puerto Rican families to identify rare causal variants influencing Alzheimer disease through linkage and segregation-based approaches. MethodsAs part of the Puerto Rican Alzheimer Disease Initiative, whole genome sequencing data were generated for 100 individuals (61 affected) from 23 Puerto Rican families. To identify the genetic loci likely to carry risk variants, we performed a parametric multipoint affected individuals-only linkage analysis using MERLIN software. Following the linkage analysis, we identified the consensus region (heterogeneity logarithm of the odds score (HLOD) > 5.1), annotated variants using Ensembl Variant Effect Predictor, and combined annotation dependent depletion score (CADD). Finally, we prioritized variants according to allele frequency (< 0.01), function (CADD > 10), and complete segregation among affected individuals. ResultsA locus at 9p21 produced a linkage HLOD score of 5.1 in the parametric affecteds-only multipoint affected individuals-only model supported by 9 families. Through the prioritization step, we selected 36 variants (22 genic variants). Candidate genes in the regions include C9orf72, UNC13B, and ELAVL2. ConclusionsLinkage analysis of Caribbean Hispanics Puerto Rican families confirmed previously reported linkage to 9p21 in non-Hispanic White and Israeli-Arap families. Our results suggest several candidates in the region as conferring AD risk. Identified putative damaging rare variants in multiplex families indicates the critical role of rare variation in Alzheimer disease etiology.

genetics↗