Haplotyping germline and cancer genomes with high-throughput linked-read sequencing

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Haplotyping human chromosomes is essential for understanding genetic variation.
• Existing methods may require substantial amounts of DNA, limiting accessibility.

Purpose of the Study:

• To develop a microfluidics-based, linked-read sequencing technology for efficient genome haplotyping.
• To enable the phasing and detection of genetic variations and structural variants using minimal DNA input.

Main Methods:

• Utilized a microfluidics platform for preparing barcoded libraries for short-read sequencing.
• Employed computational methods to reconstruct long-range haplotype and structural variant information.
• Applied the technology to a nuclear trio, a cancer cell line, and a primary colorectal adenocarcinoma.

Main Results:

• Generated haplotype blocks concordant with inheritance patterns in a nuclear trio.
• Successfully phased structural variants and resolved gene fusions (e.g., EML4-ALK).
• Assigned genetic aberrations to megabase-scale haplotypes in a colorectal cancer genome.
• Demonstrated accurate detection of structural variants with significantly reduced DNA input.

Conclusions:

• The developed technology offers a high-throughput, low-input method for human genome haplotyping.
• This approach facilitates comprehensive cataloguing of genetic variation and structural variants.
• Enables accurate genomic analysis for both germline and cancer studies.