UK Biobank

UK Biobank enables genome-wide rare variant analysis across thousands of phenotypes using exome and Exome+ sequencing data from the UK Biobank and the Healthy Nevada Project (HNP).

Key Features:

• Rare Variant Analysis: Analyzes rare variants defined as minor allele frequency (MAF) < 0.1% using exome sequencing data.
• Phenotype Coverage: Tests associations across 4,264 phenotypes in the UK Biobank, 1,934 phenotypes in HNP, with 1,821 overlapping phenotypes.
• Cohort Size and Data Depth: Utilizes 49,960 exome-sequenced UK Biobank participants and 21,866 HNP participants sequenced with Exome+ at Helix.
• Rare-variant-tailored Methodology: Employs a rare-variant-tailored approach to mitigate test statistic inflation.
• Statistical Significance: Identified 64 statistically significant gene-based associations in a meta-analysis combining both cohorts and 37 cohort-specific associations for phenotypes available in only one cohort.
• Singleton Contribution: Accounts for contributions of singletons (variants observed in a single individual) to association results.
• Integration of NGS and Deep Phenotyping: Integrates next-generation sequencing (NGS) data with deeply phenotyped cohorts to enable population-scale investigation of genetic variation.

Scientific Applications:

• Discovery of Novel Associations: Detects genetic associations driven by rare variants that are likely missed by genotyping chip approaches.
• Contribution of Singletons: Highlights the impact of singletons on gene-based association signals for complex traits and diseases.
• Population-scale Genetic Exploration: Enables exploration of genetic variation and genotype–phenotype relationships in unselected, deeply phenotyped populations.

Methodology:

Analyses use exome and Exome+ sequencing data and next-generation sequencing (NGS) integration with deeply phenotyped cohorts, apply a rare-variant-tailored methodology to mitigate test statistic inflation, and perform meta-analysis combining the UK Biobank and HNP cohorts.