M. Azim Ansari

This study identifies genetic risk factors and host-viral interactions for cirrhosis progression in hepatitis C virus-infected patients but finds no genome-wide significant associations for hepatocellular carcinoma.

This study analyzes HCV within-host dynamics post-DAA treatment failure, finding persistent viral subpopulations and lineage-specific evolutionary rates.

Castanet is a pipeline for analyzing multi-pathogen enrichment sequencing data, providing accurate consensus sequences and metrics for pathogen detection and quantification.

The paper reports genotyping and population structure findings from the China Kadoorie Biobank, revealing relatedness, consanguinity, and population movement patterns.

This paper introduces a pan-genotypic probe-based enrichment method to enhance HBV sequencing efficiency, showing significant increases in HBV read counts and viral load correlation.

This study analyzes within-host SARS-CoV-2 diversity and transmission patterns using 1390 UK clinical samples, finding low within-host diversity and a narrow transmission bottleneck.

The paper identifies a bias toward C->U transitions in RNA viruses, suggesting RNA editing by APOBEC enzymes contributes to sequence diversity and evolution.

The paper examines how HCV virus subtype and host IFNL4 genotype influence genome-scale RNA structure formation and compositional features in HCV.

The paper introduces a statistical method to test for association between a response variable and a tree structure across all hierarchy levels while controlling false positives.

This paper describes a method to generate full-length HBV genome data using isothermal amplification and sequencing with Nanopore and Illumina, achieving high consensus accuracy and resolving intra-sample variants.

This paper introduces veSEQ-HIV, a cost-effective, high-throughput sequencing method for HIV that recovers complete genomes and quantifies viral load, enabling drug resistance monitoring and transmission analysis.

The paper examines the impact of IFN-lambda4 on HCV diversity using host and viral genetic data from 485 patients, finding that IFN-lambda4 variants influence viral amino acid diversity and load.