Low-Pass Genome Sequencing-Based Detection of Paternity: Validation in Clinical Cytogenetics

Genes (Basel). 2023 Jun 27;14(7):1357. doi: 10.3390/genes14071357.

Abstract

Submission of a non-biological parent together with a proband for genetic diagnosis would cause a misattributed parentage (MP), possibly leading to misinterpretation of the pathogenicity of genomic variants. Therefore, a rapid and cost-effective paternity/maternity test is warranted before genetic testing. Although low-pass genome sequencing (GS) has been widely used for the clinical diagnosis of germline structural variants, it is limited in paternity/maternity tests due to the inadequate read coverage for genotyping. Herein, we developed rapid paternity/maternity testing based on low-pass GS with trio-based and duo-based analytical modes provided. The optimal read-depth was determined as 1-fold per case regardless of sequencing read lengths, modes, and library construction methods by using 10 trios with confirmed genetic relationships. In addition, low-pass GS with different library construction methods and 1-fold read-depths were performed for 120 prenatal trios prospectively collected, and 1 trio was identified as non-maternity, providing a rate of MP of 0.83% (1/120). All results were further confirmed via quantitative florescent PCR. Overall, we developed a rapid, cost-effective, and sequencing platform-neutral paternity/maternity test based on low-pass GS and demonstrated the feasibility of its clinical use in confirming the parentage for genetic diagnosis.

Keywords: genome sequencing; low-pass genome sequencing; paternity test; prenatal testing; single-nucleotide variants.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Chromosome Mapping
  • Cytogenetic Analysis
  • Female
  • Genetic Testing* / methods
  • Humans
  • Parents
  • Paternity*
  • Pregnancy

Grants and funding

This project is supported by Shenzhen Science and Technology Innovation Committee (#2021Szvup146), the National Natural and Science Foundation of China (#32270678), the Health and Medical Research Fund (#08190226), and the Collaborative Research Fund (#C4062-21GF).