CNest

CNest estimates copy number variation (CNV) from next-generation sequencing (NGS) data and enables genome-wide copy number association analyses (CN-GWAS) to identify genetic associations with human traits.

Key Features:

• Robust CN estimation: Generates robust copy number estimates from NGS sequencing data via a dedicated software package for downstream association analyses.
• Large-scale CN methodology: Implements a novel methodology for large-scale copy number analysis from NGS data suitable for genome-wide studies.
• Genome-wide CN-GWAS support: Enables CN-GWAS in discovery mode across the entire genome to detect copy number–trait associations.
• CNV versus SNP comparison: Facilitates comparative analyses of CNV and single nucleotide polymorphism (SNP) association signals within the same traits and samples.
• Classification of CNV associations: Defines specific classes of CNV associations to assess whether they are detectable by standard SNP-GWAS approaches.
• Evaluation on UK Biobank data: Methodology was evaluated on UK Biobank sequencing data, identifying 862 genetic associations across 78 human traits.
• False-positive mitigation: Produces copy number estimates intended to reduce false positives and improve reliability for association testing.

Scientific Applications:

• Genome-wide association studies: Discovery-mode CN-GWAS to map CNV associations with human traits across the genome.
• Trait genetics: Identification of CNV contributions to common and rare genetic diseases and trait distributions.
• Cross-variant integration: Comparative analysis of CNV and SNP signals to determine overlapping or distinct genetic signals within the same cohorts.
• Large-cohort sequencing analyses: Application to biobank-scale NGS datasets exemplified by UK Biobank sequencing analyses that yielded 862 associations across 78 traits.

Methodology:

Large-scale copy number analysis from NGS data to generate robust CN estimates for CN-GWAS, with evaluation performed on UK Biobank sequencing data identifying 862 associations across 78 traits.