Improving Single-Nucleotide Polymorphism-Based Fetal Fraction Estimation of Maternal Plasma Circulating Cell-Free DNA Using Bayesian Hierarchical Models.

The recent advances in next-generation sequencing (NGS) technologies have enabled the development of effective high-throughput noninvasive prenatal screening (NIPS) assays for fetal genetic abnormalities using maternal circulating cell-free DNA (ccfDNA). An important NIPS quality assurance is quantifying the fetal proportion of the sampled ccfDNA. For methods using allelic read count ratios from targeted sequencing of single-nucleotide polymorphisms (SNPs), systematic biases and errors may reduce accuracy and diminish assay performance. We collected ccfDNA NIPS MiSeq sequencing data from an amplicon-based 92 SNP panel along with complementary low-depth whole-genome sequencing (WGS) on 243 normal male fetus pregnancies along with additional 144 nonpregnant female donor samples. Using fetal fraction estimates based on X and Y chromosome WGS coverage as gold standard, we compared an existing SNP-based approach, FetalQuant, to a more flexible Bayesian hierarchical modeling strategy that borrows information across interrogated SNPs to character SNP-level error rates and biases to improve fetal fraction estimates. Posterior distributions for SNP-level model parameters indicate most SNPs exhibited modest to moderate extrabinomial variation and a consistent underrepresentation of fetal alleles, with some extreme outliers in both regards. Fetal fraction estimates using FetalQuant, naive to these SNP properties, were relatively poor (R2 = 0.14, root mean squared error [RMSE] = 0.050), particularly when the true fetal fraction was low (<5%). In contrast, by quantifying SNP-level biases and error rates, our proposed approach demonstrated improved performance by reducing the bias and variability in fetal fraction estimates (R2 = 0.794, RMSE = 0.025). Using high-depth targeted SNP sequencing data, we identified a high degree of variability in distributional properties across SNP allelic read counts. These results highlight the benefits of leveraging hierarchical modeling for SNP-based fetal quantification assays (FQAs) and the need to properly calibrate FQAs dependent on NGS allelic ratio data.

Development of genomic DNA reference materials for genetic testing of disorders common in people of ashkenazi jewish descent.

Many recessive genetic disorders are found at a higher incidence in people of Ashkenazi Jewish (AJ) descent than in the general population. The American College of Medical Genetics and the American College of Obstetricians and Gynecologists have recommended that individuals of AJ descent undergo carrier screening for Tay Sachs disease, Canavan disease, familial dysautonomia, mucolipidosis IV, Niemann-Pick disease type A, Fanconi anemia type C, Bloom syndrome, and Gaucher disease. Although these recommendations have led to increased test volumes and number of laboratories offering AJ screening, well-characterized genomic reference materials are not publicly available. The Centers for Disease Control and Prevention-based Genetic Testing Reference Materials Coordination Program, in collaboration with members of the genetic testing community and Coriell Cell Repositories, have developed a panel of characterized genomic reference materials for AJ genetic testing. DNA from 31 cell lines, representing many of the common alleles for Tay Sachs disease, Canavan disease, familial dysautonomia, mucolipidosis IV, Niemann-Pick disease type A, Fanconi anemia type C, Bloom syndrome, Gaucher disease, and glycogen storage disease, was prepared by the Repository and tested in six clinical laboratories using three different PCR-based assay platforms. A total of 33 disease alleles was assayed and 25 different alleles were identified. These characterized materials are publicly available from Coriell and may be used for quality control, proficiency testing, test development, and research.

Developing a sustainable process to provide quality control materials for genetic testing.

PURPOSE: To provide a summary of the outcomes of two working conferences organized by the Centers for Disease Control and Prevention (CDC), to develop recommendations for practical, sustainable mechanisms to make quality control (QC) materials available to the genetic testing community. METHODS: Participants were selected to include experts in genetic testing and molecular diagnostics from professional organizations, government agencies, industry, laboratories, academic institutions, cell repositories, and proficiency testing (PT)/external Quality Assessment (EQA) programs. Current efforts to develop QC materials for genetic tests were reviewed; key issues and areas of need were identified; and workgroups were formed to address each area of need and to formulate recommendations and next steps. RESULTS: Recommendations were developed toward establishing a sustainable process to improve the availability of appropriate QC materials for genetic testing, with an emphasis on molecular genetic testing as an initial step. CONCLUSIONS: Improving the availability of appropriate QC materials is of critical importance for assuring the quality of genetic testing, enhancing performance evaluation and PT/EQA programs, and facilitating new test development. To meet the needs of the rapidly expanding capacity of genetic testing in clinical and public health settings, a comprehensive, coordinated program should be developed. A Genetic Testing Quality Control Materials Program has therefore been established by CDC in March 2005 to serve these needs.