Qibin Qi

This study identifies metabolites linked to insomnia symptoms and develops risk scores predicting cognitive decline in Hispanic/Latino adults.

The paper investigates unexplained admixture mapping signals in the Hispanic Community Health Study/Study of Latinos by examining rare variants and expanded common variant regions, finding that common variants explain most signals.

The paper introduces a CN caller for KIV-2 repeats using short reads, showing high accuracy and demonstrating its correlation with Lp(a) levels and population-specific CN distributions.

The paper introduces a weighted variance components framework to integrate metagenomic and metabolomic data for pathway analysis, showing improved power while controlling type I error.

StocSum generates stochastic summary statistics for whole genome sequencing studies without external reference panels, enabling various genetic analyses and improving utility for underrepresented populations.

This study identifies novel genetic loci for BMI, height, and WHRadjBMI in Hispanic/Latino populations and shows the benefits of ancestral diversity in GWAS.

The paper estimates heritability for height and BMI using whole-genome sequence data and finds that rare variants contribute significantly to the missing heritability.

The paper introduces a kernel-based method to identify host genetic variants associated with microbiome beta-diversity, finding immunity-related genes influence gut microbiota composition.

The paper shows Amerind ancestry is linked to lower LC-PUFA levels and increased cardiometabolic risk in Hispanic populations due to FADS genetic variation.

The paper identifies 31 host genetic loci influencing gut microbiome composition through GWAS and suggests causal effects in inflammatory diseases.

The paper catalogs structural variants across 19,652 genomes and identifies their associations with proteomic measurements and disease phenotypes.

This study compares methods for constructing genetic risk scores in Hispanics/Latinos using European ancestry GWAS results and finds that using Hispanic/Latino GWASs for SNP weights improves performance.