Multi-platform discovery of haplotype-resolved structural variation in human genomes

Area of Science:

• Genomics
• Human Genetics
• Bioinformatics

Background:

• Incomplete identification of structural variants (SVs) from whole-genome sequencing data hinders studies on human genetic diversity and disease association.
• Accurate and comprehensive SV detection is crucial for understanding complex genetic traits and inherited disorders.

Purpose of the Study:

• To comprehensively analyze the full spectrum of human genetic variation in a haplotype-resolved manner.
• To establish a gold standard dataset and methodology for maximizing structural variation sensitivity in genome sequencing studies.

Main Methods:

• Application of long-read, short-read, and strand-specific sequencing technologies.
• Integration of optical mapping and advanced variant discovery algorithms.
• Comprehensive analysis of three trios to define genetic variation.

Main Results:

• Identification of 818,054 indel variants (<50 bp) and 27,622 SVs (≥50 bp) per genome.
• Discovery of 156 inversions per genome, with 58 intersecting critical regions of microdeletion/microduplication syndromes.
• Achieved a three to sevenfold increase in SV detection compared to standard high-throughput sequencing studies.

Conclusions:

• The developed methods and dataset provide a gold standard for SV detection.
• Recommendations are made for enhancing structural variation sensitivity in future genome sequencing initiatives.
• Improved SV identification advances human genetic diversity research and disease association studies.