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José Luis Ambite

Researcher at University of Southern California

Publications -  164
Citations -  5801

José Luis Ambite is an academic researcher from University of Southern California. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 38, co-authored 152 publications receiving 5020 citations. Previous affiliations of José Luis Ambite include Information Sciences Institute & Georgia State University.

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Book ChapterDOI

Leveraging Linked Data to Discover Semantic Relations Within Data Sources

TL;DR: This work presents a novel approach to automatically discover the semantic relations within a given data source by mining the small graph patterns occurring in Linked Open Data and combining them to build a graph that will be used to infer semantic relations.
Journal ArticleDOI

Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study

TL;DR: Generalization of results across multiple racial/ethnic groups helps confirm the relevance of some of these loci for glucose and insulin metabolism, and Lack of association in non-EA groups may be due to insufficient power, or to unique patterns of linkage disequilibrium.
Journal ArticleDOI

The genetic underpinnings of variation in ages at menarche and natural menopause among women from the multi-ethnic Population Architecture using Genomics and Epidemiology (PAGE) Study: A trans-ethnic meta-analysis.

TL;DR: The findings support the transferability of reproductive trait loci discovered in European women to women of other race/ethnicities and indicate the presence of additional trans-ethnic associations both at both novel and established loci.
Journal ArticleDOI

Multiancestral Analysis of Inflammation-Related Genetic Variants and C-Reactive Protein in the Population Architecture Using Genomics and Epidemiology Study

TL;DR: The findings demonstrate the benefit of evaluating genotype–phenotype associations in multiple race/ethnicity groups and looking for pleiotropic relationships among SNPs previously associated with related phenotypes.