Genomic Variant Analysis and Annotation Pipeline

Design a scalable Python pipeline for processing and annotating large genomic variant datasets using Biopython, pandas, and parallel computing techniques. The pipeline must handle VCF files, perform variant classification, cross-reference multiple genomic databases, and generate comprehensive variant impact reports. Implement efficient memory management for processing whole genome sequencing data and include advanced filtering mechanisms for clinically relevant mutations.