DanMAC5

DanMAC5 provides aggregated allele counts from whole-genome sequencing (WGS) of 8,671 Danish individuals (5,418 females) to support variant interpretation and genetic studies of cardiovascular, psychiatric, and headache disorders.

Key Features:

• Extensive dataset: Allele counts for single nucleotide variants (SNVs) and insertions/deletions (indels) derived from WGS of 8,671 individuals are provided.
• Data integration and quality control: Data originate from three independent research projects and were processed using a consistent quality-control pipeline with an average coverage of 30x.
• Summarized variant statistics: The resource delivers summarized, filtered, and merged allele counts at the summary level from the combined datasets.
• Population-specific allele spectrum: The aggregated allelic frequencies characterize the Danish population to inform variant interpretation within this cohort.

Scientific Applications:

• Genetic risk investigation: Support studies of genetic risk factors for cardiovascular diseases, psychiatric conditions, and headache disorders using population allele counts.
• Variant interpretation: Enable comparison of variant allele frequencies against a Danish WGS-derived reference to assist clinical and research interpretation.
• Population-specific analyses: Facilitate population genetics and cohort-specific analyses that require detailed WGS-derived allele frequency data.

Methodology:

Three independent WGS datasets were processed through a unified quality-control pipeline and then summarized, filtered, and merged to produce allele counts (mean coverage ~30x).