Publications by authors named "Sergio Tejada"
Background: This study aims to elucidate ancestry-specific changes to the genomic regulatory architecture in induced pluripotent stem cell (iPSC)-derived oligodendroglia, focusing on their implications for Alzheimer's disease (AD). This work addresses the lack of diversity in previous iPSC studies by including ancestries that contribute to African American (European/African) and Hispanic/Latino populations (Amerindian/African/European).
Methods: We generated 12 iPSC lines-four African, four Amerindian, and four European- from both AD patients and non-cognitively impaired individuals, with varying genotypes ( and ).
Article Synopsis
- Hispanic/Latino populations, particularly Puerto Ricans, are underrepresented in Alzheimer Disease (AD) genetics research, prompting a study to identify new AD risk loci in this group.
- The study involved Whole Genome Sequencing and analyzed data from 648 Puerto Ricans, adjusting for various factors to ensure accurate results and inferring local ancestry.
- Results revealed a suggestive AD risk locus on chromosome 12 and replicated several known AD genetic loci, emphasizing the need for including diverse populations in genetic studies to improve understanding of AD.
Background: Alzheimer disease (AD) is more prevalent in African American (AA) and Hispanic White (HIW) compared to Non-Hispanic White (NHW) individuals. Similarly, neuropsychiatric symptoms (NPS) vary by population in AD. This is likely the result of both sociocultural and genetic ancestral differences.
View Article and Find Full Text PDFThe genetic admixture of Caribbean Hispanics provides an opportunity to discover novel genetic factors in Alzheimer disease (AD). We sought to identify genetic variants for AD through a family-based design using the Puerto Rican (PR) Alzheimer Disease Initiative (PRADI). Whole-genome sequencing (WGS) and parametric linkage analysis were performed for 100 individuals from 23 multiplex PRADI families.
View Article and Find Full Text PDFA rapid and simple single-drop microextraction method (SDME) has been used to preconcentrate eighteen organochlorine pesticides (OCPs) from water samples with a complex matrix. Exposing two microlitre toluene drop to an aqueous sample contaminated with OCPs proved an excellent preconcentration method prior to analysis by gas chromatography-mass spectrometry (GC-MS). A Plackett-Burman design was used for screening and a central composite design for optimizing the significant variables in order to evaluate several possibly influential and/or interacting factors.
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