Hua Tang

Uncovering Heterogeneous Effects via Localized Feature Selection

This paper introduces a framework for identifying disease-associated features tailored to individual profiles using localized test statistics, applied to single-cell RNA sequencing data for Alzheimer's disease.

Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed

The paper analyzes expression and splicing quantitative trait loci (e/sQTL) across multiple tissues in the TOPMed dataset and finds that secondary e/sQTL signals are still discoverable, with many GWAS signals colocalizing with these e/sQTL.

cellSTAAR: Incorporating single-cell-sequencing-based functional data to boost power in rare variant association testing of non-coding regions

cellSTAAR integrates single-cell ATAC-seq with whole-genome sequencing to enhance power and interpretation of rare variant association tests in non-coding regions.

Regulation of protein abundance in normal human tissues

The paper quantifies protein abundance across human tissues and identifies genetic factors influencing protein levels, revealing both shared and tissue-specific genetic architectures.

Improving design and normalization of multiplex proteomics study

The paper improves experimental design and normalization for multiplex proteomics by introducing reference samples and technical replicates, and presents ProMix to enhance analysis performance.

Beyond guilty by association at scale: searching for causal variants on the basis of genome-wide summary statistics

This paper introduces a method to identify causal variants from genome-wide summary statistics, outperforming existing methods and discovering additional loci for complex traits.

Transcriptome variation in human tissues revealed by long-read sequencing

The paper uses long-read RNA-seq data to identify new transcripts and develop a tool to analyze genetic effects on transcript structure, revealing insights into splicing regulation and variant interpretation.

Robust Identification of Temporal Biomarkers in Longitudinal Omics Studies

This paper introduces a statistical method to identify time intervals of temporal omics biomarkers in longitudinal studies, showing high specificity and sensitivity across simulated and real datasets.

A Prism Vote Framework for Individualized Risk Prediction of Traits in Genome-wide Sequencing Data of Multiple Populations

The paper introduces a Bayesian framework called Prism Vote to improve risk prediction in multi-population genome-wide sequencing data by integrating subpopulation-specific predictors.

Whole genome sequencing identifies common and rare structural variants contributing to hematologic traits in the NHLBI TOPMed program

Summary statistics knockoff inference empowers identification of putative causal variants in genome-wide association studies

This paper introduces GhostKnockoff, a method to improve causal variant identification in GWAS by increasing statistical power and reducing proxy variants.

Identification of putative causal loci in whole-genome sequencing data via knockoff statistics

This paper introduces a statistical method using knockoff statistics to identify causal loci in whole-genome sequencing data, showing increased discovery potential in Alzheimer's and COPD studies.

Functional and structural basis of extreme non-coding conservation in vertebrate 5'UTRs

The paper identifies conserved 5'UTRs as regulators of translation and reveals their structural dynamics using a new method.

RobNorm: model-based robust normalization methodfor labeled quantitative mass spectrometry proteomics data

RobNorm is a normalization method for proteomics data that reduces systematic bias while preserving biological heterogeneity in heterogeneous samples.

Trans-ethnic and ancestry-specific blood-cell genetics in 746,667 individuals from 5 global populations

This study identifies 5,552 blood-cell trait-variant associations across 746,667 individuals from 5 global populations, including 71 novel loci and ancestry-specific variants not found in European ancestry populations.

The Polygenic and Monogenic Basis of Blood Traits and Diseases

This study identifies 5,106 new genetic variants associated with blood cell traits using large-scale GWAS, highlighting the polygenic and monogenic basis of hematopoiesis.

Integrative analysis of RNA, translation and protein levels reveals distinct regulatory variation across humans

The paper integrates RNA, translation, and protein data to show genetic variation affects translation and protein levels in humans.