Assessing the Performance of Dried-Blood-Spot DNA Extraction Methods in Next Generation Sequencing.

An increasing number of newborn screening laboratories in the United States and abroad are moving towards incorporating next-generation sequencing technology, or NGS, into routine screening, particularly for cystic fibrosis. As more programs utilize this technology for both cystic fibrosis and beyond, it is critical to identify appropriate DNA extraction methods that can be used with dried blood spots that will result in consistent, high-quality sequencing results. To provide comprehensive quality assurance and technical assistance to newborn screening laboratories wishing to incorporate NGS assays, CDC's Newborn Screening and Molecular Biology Branch designed a study to evaluate the performance of nine commercial or laboratory-developed DNA extraction methods that range from a highly purified column extraction to a crude detergent-based no-wash boil prep. The DNA from these nine methods was used in two NGS library preparations that interrogate the CFTR gene. All DNA extraction methods including the cruder preps performed reasonably well with both library preps. One lower-concentration, older sample was excluded from one of the assay evaluations due to poor performance across all DNA extraction methods. When 84 samples, versus eight, were run on a flow cell, the DNA quality and quantity were more significant variables.

Newborn Screening Quality Assurance Program for CFTR Mutation Detection and Gene Sequencing to Identify Cystic Fibrosis.

All newborn screening laboratories in the United States and many worldwide screen for cystic fibrosis. Most laboratories use a second-tier genotyping assay to identify a panel of mutations in the CF transmembrane regulator (CFTR) gene. Centers for Disease Control and Prevention's Newborn Screening Quality Assurance Program houses a dried blood spot repository of samples containing CFTR mutations to assist newborn screening laboratories and ensure high-quality mutation detection in a high-throughput environment. Recently, CFTR mutation detection has increased in complexity with expanded genotyping panels and gene sequencing. To accommodate the growing quality assurance needs, the repository samples were characterized with several multiplex genotyping methods, Sanger sequencing, and 3 next-generation sequencing assays using a high-throughput, low-concentration DNA extraction method. The samples performed well in all of the assays, providing newborn screening laboratories with a resource for complex CFTR mutation detection and next-generation sequencing as they transition to new methods.

Improving newborn screening for cystic fibrosis using next-generation sequencing technology: a technical feasibility study.

PURPOSE: Many regions have implemented newborn screening (NBS) for cystic fibrosis (CF) using a limited panel of cystic fibrosis transmembrane regulator (CFTR) mutations after immunoreactive trypsinogen (IRT) analysis. We sought to assess the feasibility of further improving the screening using next-generation sequencing (NGS) technology. METHODS: An NGS assay was used to detect 162 CFTR mutations/variants characterized by the CFTR2 project. We used 67 dried blood spots (DBSs) containing 48 distinct CFTR mutations to validate the assay. NGS assay was retrospectively performed on 165 CF screen-positive samples with one CFTR mutation. RESULTS: The NGS assay was successfully performed using DNA isolated from DBSs, and it correctly detected all CFTR mutations in the validation. Among 165 screen-positive infants with one CFTR mutation, no additional disease-causing mutation was identified in 151 samples consistent with normal sweat tests. Five infants had a CF-causing mutation that was not included in this panel, and nine with two CF-causing mutations were identified. CONCLUSION: The NGS assay was 100% concordant with traditional methods. Retrospective analysis results indicate an IRT/NGS screening algorithm would enable high sensitivity, better specificity and positive predictive value (PPV). This study lays the foundation for prospective studies and for introducing NGS in NBS laboratories.

Newborn Screening Quality Assurance Program for CFTR Mutation Detection and Gene Sequencing to Identify Cystic Fibrosis

Abstract All newborn screening laboratories in the United States and many worldwide screen for cystic fibrosis. Most laboratories use a second-tier genotyping assay to identify a panel of mutations in the CF transmembrane regulator (CFTR) gene. Centers for Disease Control and Prevention's Newborn Screening Quality Assurance Program houses a dried blood spot repository of samples containing CFTR mutations to assist newborn screening laboratories and ensure high-quality mutation detection in a high-throughput environment. Recently, CFTR mutation detection has increased in complexity with expanded genotyping panels and gene sequencing. To accommodate the growing quality assurance needs, the repository samples were characterized with several multiplex genotyping methods, Sanger sequencing, and 3 next-generation sequencing assays using a high-throughput, low-concentration DNA extraction method. The samples performed well in all of the assays, providing newborn screening laboratories with a resource for complex CFTR mutation detection and next-generation sequencing as they transition to new methods.

Proficiency testing of human leukocyte antigen-DR and human leukocyte antigen-DQ genetic risk assessment for type 1 diabetes using dried blood spots.

BACKGROUND: The plurality of genetic risk for developing type 1 diabetes mellitus (T1DM) lies within the genes that code for the human leukocyte antigens (HLAs). Many T1DM studies use HLA genetic risk assessment to identify higher risk individuals, and they often conduct these tests on dried blood spots (DBSs) like those used for newborn bloodspot screening. One such study is The Environmental Determinants of Diabetes in the Young (TEDDY), a long-term prospective study of environmental risk factors. To provide quality assurance for T1DM studies that employ HLA genetic risk assessment, the Centers for Disease Control and Prevention (CDC) conducts both a voluntary quarterly proficiency testing (VQPT) program available to any laboratory and a mandatory annual proficiency testing (PT) challenge for TEDDY laboratories. METHODS: Whole blood and DBS samples with a wide range of validated HLA-DR and HLA-DQ genotypes were sent to the participating laboratories. Results were evaluated on the basis of both the reported haplotypes and the HLA genetic risk assessment. RESULTS: Of the reported results from 24 panels sent out over six years in the VQPT, 94.7% (857/905) were correctly identified with respect to the relevant HLA-DR or HLA-DQ alleles, and 96.4% (241/250) were correctly categorized for risk assessment. Significant improvement was seen over the duration of this program, usually reaching 100% correct categorization during the last three years. Of 1154 reported results in four TEDDY PT challenges, 1153 (99.9%) were correctly identified for TEDDY eligibility. CONCLUSIONS: The different analytical methods used by T1DM research centers all provided accurate (>99%) results for genetic risk assessment. The two CDC PT programs documented the validity of the various approaches to screening and contributed to overall quality assurance.

Novel human leukocyte antigen class I and class II alleles identified by sequence-based typing in the Genetics of Kidneys in Diabetes (GoKinD) study population.

Nine novel HLA class I and class II alleles were identified by sequence-based typing (SBT) in Caucasian participants from the Genetics of Kidneys in Diabetes (GoKinD) study. All novel alleles were single nucleotide substitutions. Seven alleles resulted in an amino acid change and two alleles were silent substitutions. The new alleles are as follows: five HLA-A alleles (*0132, *020121, *0344, *030107, *2507), one HLA-C allele (*0619), two HLA-DQB1 alleles (*0204, *0318), and one HLA-DPB1 allele (*1802). Eight of these new alleles were identified in participants with type 1 diabetes, three of whom also had diabetic nephropathy, and one new allele was identified in an unaffected parent of a participant with type 1 diabetes. All new alleles were isolated and characterized by use of single allele amplification (SAA) SBT; the new alleles were confirmed by sequence-specific primer (SSP) amplification.

Assessment of DNA contamination from dried blood spots and determination of DNA yield and function using archival newborn dried blood spots.

BACKGROUND: Residual dried blood spots (DBS) from newborn screening programs are often stored for years and are sometimes used for epidemiological studies. Because there is potential for DNA cross-contamination from specimen-to-specimen contact, we determined contamination levels following intentional contact and assessed archival DBS DNA degradation after storage in an uncontrolled environment. METHODS: DBS from healthy adult females were rubbed with DBS from healthy or cystic fibrosis (CF)-affected adult males. Total human and male DNA was measured from the female DBS. Contamination levels were assessed using short tandem repeats (STRs). Female DBS contaminated with CF male DNA containing the F508del were analyzed for presence of this mutation. Archival DBS DNA amplification efficiency was determined using STR analysis. RESULTS: Most female DBS were contaminated, however only one specimen showed an incomplete STR profile consistent with contaminating CF-affected male DNA. Further testing by CF mutation screening was negative. DNA extracted from archival DBS showed robust amplification (range 100 bp-320 bp). CONCLUSIONS: Lightly abrasive contact between DBS resulted in DNA cross-contamination. The contaminating DNA did not interfere in CF-mutation tests; however this should be determined for individual assays. Since DNA from archival DBS robustly amplifies, newborn DBS could provide an invaluable resource for public health studies.

Nephropathy in type 1 diabetes is diminished in carriers of HLA-DRB1*04: the genetics of kidneys in diabetes (GoKinD) study.

OBJECTIVE: The purpose of this study was to examine whether known genetic risk factors for type 1 diabetes (HLA-DRB1, -DQA1, and -DQB1 and insulin locus) play a role in the etiology of diabetic nephropathy. RESEARCH DESIGN AND METHODS; Genetic analysis of HLA-DRB1, -DQA1, -DQB1 and the insulin gene (INS) was performed in the Genetics of Kidneys in Diabetes (GoKinD) collection of DNA (European ancestry subset), which includes case patients with type 1 diabetes and nephropathy (n = 829) and control patients with type 1 diabetes but not nephropathy (n = 904). The availability of phenotypic and genotypic data on GoKinD participants allowed a detailed analysis of the association of these genes with diabetic nephropathy. RESULTS: Diabetic probands who were homozygous for HLA-DRB1*04 were 50% less likely to have nephropathy than probands without any DRB1*04 alleles. In heterozygous carriers, a protective effect of this allele was not as clearly evident; the mode of inheritance therefore remains unclear. This association was seen in probands with both short (<28 years, P = 0.02) and long (>/=28 years, P = 0.0001) duration of diabetes. A1C, a marker of sustained hyperglycemia, was increased in control probands with normoalbuminuira, despite long-duration diabetes, from 7.2 to 7.3 to 7.7% with 0, 1, and 2 copies of the DRB1*04 allele, respectively. This result is consistent with a protective effect of DRB1*04 that may allow individuals to tolerate higher levels of hyperglycemia, as measured by A1C, without developing nephropathy. CONCLUSIONS: These data suggest that carriers of DRB1*04 are protected from some of the injurious hyperglycemic effects related to nephropathy. Interestingly, DRB1*04 appears to be both a risk allele for type 1 diabetes and a protective allele for nephropathy.

Identification of two novel DQA1 alleles, DQA1*0107 and DQA1*0602, by sequence-based typing in the GoKinD population.

Two novel DQA1 alleles, DQA1*0107 and DQA1*0602, were discovered using DQA1 sequence-based typing (SBT) in participants in the Genetics of Kidneys in Diabetes (GoKinD) Study. The DQA1*0107 allele, found in three unrelated Caucasian participants, contains a novel polymorphism at codon 79 of exon 2 (CGC-->TGC), which results in an amino acid change from an arginine to a cysteine. The participants containing this novel polymorphism also had a 1-bp insertion in intron 2 that is common to the *01 alleles. The DQA1*0602 allele, found in one Caucasian participant, contains a novel polymorphism at codon 139 of exon 3 (AGC-->CGC), which results in an amino acid change from a serine to an arginine. Additionally, the *0602 allele has a base change in intron 1 that is common to the *06 alleles. Both new alleles were isolated using single-allele amplification SBT and confirmed using sequence-specific primer amplification.