Semiconductor Sequencing Research Articles

Birth weight and length in offsprings of mothers with gestational diabetes mellitus due to mutations in GCK gene

Background. Gestational diabetes (GDM) due to GCK gene mutations is the most frequent form of monogenic diabetes mellitus (DM) presenting during pregnancy. It has been suggested that the use of insulin in pregnancies with fetuses carrying GCK mutations may lead to intrauterine growth retardation. In the present study we evaluated the effect of insulin therapy during pregnancy on birth weight and length in the offsprings of mothers with GDM due to GCK mutations.
 Aims. The aim was to study birth weight and length in offsprings of mothers with gestational diabetes mellitus due to mutations in GCK, depending on the therapy during pregnancy.
 Materials and methods. The study included 38 patients with GDM caused by GCK gene mutations (18.7%) and the 45 offsprings. To define molecular basis of GDM in pregnant women we used a targeted NGS. Diabetes panel genes were sequenced using a custom Ion Ampliseq gene panel and PGM semiconductor sequencer (Ion Torrent). To found the same mutations in their offsprings was used Sanger sequencing. All children were divided into 3 groups depending of their genotype and therapy received by the mothers during pregnancy.
 Results. We found statistically significant differences in birth length (p=0.04) and weight (p=0,031) depending on the genotype of the child and therapy in the mother. The risk of macrosomia was shown in non-mutation-carrying offsprings only. The birth weight in children with GCK gene mutations whose mothers received insulin during pregnancy was significantly lower. However, the birth weight remained in the normal range.
 Conclusions. Since prenatal diagnostics in the mothers with GCK gene mutations is not always justified, we recommend insulin therapy in order to prevent fetal macrosomia, which, however, should be less aggressive than in GDM due to other causes.

Familial case of normosmic hypogonadotropic hypogonadism with polydactyly, associated with defect of FGFR1 gene

Congenital isolated hypogonadotropic hypogonadism refers to a group of predominantly monogenic diseases associated with impaired production, secretion, and/or action of the gonadotropin-releasing hormone (GnRH), which leads to a pronounced delay or absence of puberty. Clinical and genetic heterogeneity is typical of this group of diseases. To date, about 30 candidate genes associated with the development of various forms of secondary hypogonadism are known. Congenital hypogonadotropic hypogonadism can be verified only using molecular genetic diagnostics. The correct diagnosis is necessary for predicting the disease course and choosing the proper approach for managing the patient. We describe a familial case of normosmic hypogonadotropic hypogonadism and late puberty associated with a mutation in the FGFR1 gene. The case is interesting because of pronounced phenotypic manifestations and their high concentration in the proband’s family history. Also of interest is the phenotype untypical of mutations in this gene. The molecular genetic study was performed using new generation sequencing with the authors’ panel of primers and a PGM semiconductor sequencer (Ion Torrent). The Sanger method was used to confirm the identified mutation and examine the proband’s relative. In both patients, a heterozygous mutation in the FGFR1 gene, previously described in Kallmann syndrome, was detected.

Familial case of normosmic hypogonadotropic hypogonadism with polydactyly, associated with defect of FGFR1 gene

Congenital isolated hypogonadotropic hypogonadism refers to a group of predominantly monogenic diseases associated with impaired production, secretion, and/or action of the gonadotropin-releasing hormone (GnRH), which leads to a pronounced delay or absence of puberty. Clinical and genetic heterogeneity is typical of this group of diseases. To date, about 30 candidate genes associated with the development of various forms of secondary hypogonadism are known. Congenital hypogonadotropic hypogonadism can be verified only using molecular genetic diagnostics. The correct diagnosis is necessary for predicting the disease course and choosing the proper approach for managing the patient. We describe a familial case of normosmic hypogonadotropic hypogonadism and late puberty associated with a mutation in the FGFR1 gene. The case is interesting because of pronounced phenotypic manifestations and their high concentration in the proband’s family history. Also of interest is the phenotype untypical of mutations in this gene. The molecular genetic study was performed using new generation sequencing with the authors’ panel of primers and a PGM semiconductor sequencer (Ion Torrent). The Sanger method was used to confirm the identified mutation and examine the proband’s relative. In both patients, a heterozygous mutation in the FGFR1 gene, previously described in Kallmann syndrome, was detected.

Determining Genotypic Drug Resistance by Ion Semiconductor Sequencing With the Ion AmpliSeq™ TB Panel in Multidrug-Resistant Mycobacterium tuberculosis Isolates.

BackgroundWe examined the feasibility of a full-length gene analysis for the drug resistance-related genes inhA, katG, rpoB, pncA, rpsL, embB, eis, and gyrA using ion semiconductor next-generation sequencing (NGS) and compared the results with those obtained from conventional phenotypic drug susceptibility testing (DST) in multidrug-resistant Mycobacterium tuberculosis (MDR-TB) isolates.MethodsWe extracted genomic DNA from 30 pure MDR-TB isolates with antibiotic susceptibility profiles confirmed by phenotypic DST for isoniazid (INH), rifampin (RIF), ethambutol (EMB), pyrazinamide (PZA), amikacin (AMK), kanamycin (KM), streptomycin (SM), and fluoroquinolones (FQs) including ofloxacin, moxifloxacin, and levofloxacin. Enriched ion spheres were loaded onto Ion PI Chip v3, with 30 samples on a chip per sequencing run, and Ion Torrent sequencing was conducted using the Ion AmpliSeq TB panel (Life Technologies, USA).ResultsThe genotypic DST results revealed good agreement with the phenotypic DST results for EMB (Kappa 0.8), PZA (0.734), SM (0.769), and FQ (0.783). Agreements for INH, RIF, and AMK+KM were not estimated because all isolates were phenotypically resistant to INH and RIF, and all isolates were phenotypically and genotypically susceptible to AMK+KM. Moreover, 17 novel variants were identified: six (p.Gly169Ser, p.Ala256Thr, p.Ser383Pro, p.Gln439Arg, p.Tyr597Cys, p.Thr625Ala) in katG, one (p.Tyr113Phe) in inhA, five (p.Val170Phe, p.Thr400Ala, p.Met434Val, p.Glu812Gly, p.Phe971Leu) in rpoB, two (p.Tyr319Asp and p.His1002Arg) in embB, and three (p.Cys14Gly, p.Asp63Ala, p.Gly162Ser) in pncA.ConclusionsIon semiconductor NGS could detect reported and novel amino acid changes in full coding regions of eight drug resistance-related genes. However, genotypic DST should be complemented and validated by phenotypic DSTs.

Fecal microbiota in the female prairie vole (Microtus ochrogaster).

We examined the fecal microbiota of female prairie voles. This species is socially and, likely, sexually monogamous, and thus serves as a valuable model in which to examine the interaction between the microbiota-gut-brain axis and social behavior. At present, little is known about the gastrointestinal microbiota of prairie voles; therefore, we performed a first characterization of the fecal microbiota using 16S rRNA gene amplicon sequencing. Semiconductor sequencing technology on an Ion Torrent PGM platform was used to assess the composition of fecal microbiotas from twelve female prairie voles. Following quality filtering, 1,017,756 sequencing reads were classified from phylum to genus level. At the phylum level, Firmicutes, Bacteroidetes, and Saccharibacteria were the predominant taxa, while the Bacteriodales, Erysipelotrichaceae, Ruminococcaceae, and Lachnospiraceae contributed the most dominant microbial groups and genera. Microbial community membership was most similar between vole sibling pairs, but consideration of taxon abundances weakened these associations. The interdependence of host factors such as genetics and behavior with the gastrointestinal microbiota is likely to be particularly pronounced in prairie voles. Our pilot characterization of the prairie vole intestinal microbiota revealed a microbial community composition remarkably consistent with the monogastric alimentary system of these rodents and their diet rich in complex plant carbohydrates. The highly social nature of these animals poses specific challenges to microbiome analyses that nonetheless are valuable for advancing research on the microbiota-gut-brain-behavior axis. Our study provides an important basis for future microbiome research in this emerging model organism for studying social behavior.

Analytical parameters and validation of homopolymer detection in a pyrosequencing-based next generation sequencing system

BackgroundCurrent technologies in next-generation sequencing are offering high throughput reads at low costs, but still suffer from various sequencing errors. Although pyro- and ion semiconductor sequencing both have the advantage of delivering long and high quality reads, problems might occur when sequencing homopolymer-containing regions, since the repeating identical bases are going to incorporate during the same synthesis cycle, which leads to uncertainty in base calling. The aim of this study was to evaluate the analytical performance of a pyrosequencing-based next-generation sequencing system in detecting homopolymer sequences using homopolymer-preintegrated plasmid constructs and human DNA samples originating from patients with cystic fibrosis.ResultsIn the plasmid system average correct genotyping was 95.8% in 4-mers, 87.4% in 5-mers and 72.1% in 6-mers. Despite the experienced low genotyping accuracy in 5- and 6-mers, it was possible to generate amplicons with more than a 90% adequate detection rate in every homopolymer tract. When homopolymers in the CFTR gene were sequenced average accuracy was 89.3%, but varied in a wide range (52.2 – 99.1%). In all but one case, an optimal amplicon-sequencing primer combination could be identified. In that single case (7A tract in exon 14 (c.2046_2052)), none of the tested primer sets produced the required analytical performance.ConclusionsOur results show that pyrosequencing is the most reliable in case of 4-mers and as homopolymer length gradually increases, accuracy deteriorates. With careful primer selection, the NGS system was able to correctly genotype all but one of the homopolymers in the CFTR gene. In conclusion, we configured a plasmid test system that can be used to assess genotyping accuracy of NGS devices and developed an accurate NGS assay for the molecular diagnosis of CF using self-designed primers for amplification and sequencing.

Estimating mutation load at 5% LOD from FFPE samples using a targeted next-generation sequencing assay.

28 Background: High tumor mutation load is a biomarker which positively correlates with response to immune checkpoint inhibitors. Current methods to estimate tumor mutation load often require large amounts of DNA. Herein, we demonstrate the ability of a targeted panel to estimate mutation load from FFPE samples using low input amount of DNA. Methods: We developed a single-sample analysis workflow to estimate mutation load (somatic mutation count per Megabase (Mb)) from FFPE and fresh frozen tumor research samples. The assay utilizes a PCR-based target enrichment panel that covers ~1.7 Mb. Our workflow requires only 10 ng of input DNA, and enables a 2.5-day turn-around time from sample to the final report. The workflow enables < 60 minutes of hands-on time for automated library preparation and templating on a batch of 8 samples. Sequencing is performed using a high throughput semiconductor sequencing platform to achieve sufficient depth (~500x coverage) and accuracy. Our analysis pipeline calls variants with optimized parameters on the tumor sample only, with no matched normal sample required, and applies filters to remove germ-line. Results: An in-silico analysis using 21,000 exomes from COSMIC demonstrated the panel can achieve high sensitivity (>=93%) and specificity (>99%) necessary to stratify high and low mutation burden samples. Matched tumor-normal analyses on 14 lung and colorectal samples showed that our single tumor analysis workflow detects mutation load with strong correlation (r=0.8699) with tumor-normal analysis. Through dilution experiments on engineered control we learned that the workflow provides accurate estimates of mutation load, predicting ± 7% of expected mutation load on >=20% tumor content. To assess reproducibility, we compared mutation load in library replicates for a cohort of 8 samples (FFPE and fresh frozen tumors, engineered control, and NIST cell-lines) and observed high correlation (r=0.9906) among replicates. Conclusions: We developed a simple workflow on the Ion Torrent sequencing platform to estimate mutation load from FFPE and fresh frozen tumor research samples. This solution will advance research in immuno-oncology.

Noninvasive Prenatal Testing of Rare Autosomal Aneuploidies by Semiconductor Sequencing.

Rare autosomal aneuploidies (RAAs) can cause miscarriage or other pregnancy complications and lead to inconsistent results of noninvasive prenatal testing (NIPT), but many NIPT providers have not yet started to provide related services. Our aim was to develop a semiconductor sequencing platform (SSP)-based method for detecting RAAs when pregnant women performed NIPT. Fifty-three aneuploidy samples with verified karyotyping or array comparative genomic hybridization (aCGH) results were collected and subjected to RAAs detection using an SSP to develop a method by genomic sequencing. Various trisomies on all chromosomes other than chromosomes 17 and 19, four multiple aneusomies, one monosomy and five sex chromosome abnormalities were got by our method which can directly identify RAAs via a z-score. Then, artificial mixtures of 10% and 5% DNA were created by adding fragmented fifty-three tissue samples and used in an NIPT simulation to develop a bioinformatics analysis method which can use in NIPT. And the results were in accordance with those of karyotyping and aCGH. Therefore, our method has potential for use in NIPT. Finally, 23,823 clinical plasma samples were tested to verify the performance of our approach. Karyotyping or aCGH was performed on the positive clinical samples. In total, 188 of 23,823 clinical samples were positive (T2, n = 1; T7, n = 1; T13, n = 15; T18, n = 45; T21, n = 125; and multiple aneusomies, n = 1) and verified by karyotyping or aCGH; no sample was a false negative. Several false positives were detected, one of which showed maternal copy number variation (CNV). One case of multiple aneusomies was caused by a maternal tumor. The method developed enables detection of RAAs without increasing costs.

Molecular drug resistance profiles of Mycobacterium tuberculosis from sputum specimens using ion semiconductor sequencing

The increasing burden of multidrug resistant (MDR)-TB, defined by resistance to rifampin (RFP) and isoniazid (INH), and extensively drug resistant-TB, defined by MDR-TB with additional resistance to fluoroquinolones (FQs) and more than one second-line injectable drug, is a serious impediment to global TB control. We evaluated the feasibility of full-length gene analysis including inhA, katG, rpoB, pncA, rpsL embB, eis, and gyrA using a semiconductor NGS with the Ion AmpliSeq TB panel to directly analyse 34 sputum specimens confirmed by phenotypic DST: INH, RFP, ethambutol (EMB), pyrazinamide (PZA), amikacin, kanamycin, streptomycin (SM), FQs including ofloxacin, moxifloxacin, and levofloxacin. The molecular drug resistance profiles showed “very good” and “substantial” strength of agreement for the phenotypic DST results of RFP and EMB, PZA, SM, FQs resistance with specificities of 96%, and 88%, 97%, 100% and sensitivities of 100%, and 88%, 60%, 67%, respectively. The strength of agreement for the detection of resistance to INH was “substantial”, compared between katG mutation and phenotypic INH only. Ion semiconductor NGS could make possible detection of several uncommon or novel amino acid changes in the full coding regions of these eight genes. However, molecular drug resistant profile should be complemented and validated by subsequent phenotypic DST studies at the same time.

Microbiological Quality Assessment of Game Meats at Retail in Japan

In this study, we examined the prevalence of Shiga toxin-producing Escherichia coli and Salmonella spp. and the distribution of indicator bacteria in 248 samples of game meats (120 venison and 128 wild boar) retailed between November 2015 and March 2016 in Japan. No Salmonella spp. were detected in any of the samples, whereas Shiga toxin-producing Escherichia coli serotype OUT:H25 (stx2d+, eae-) was isolated from one deer meat sample, suggesting a possible source for human infection. Plate count assays indicated greater prevalence of coliforms and E. coli in wild boar meat than in venison, whereas their prevalence in processing facilities showed greater variation than in animal species. The 16S rRNA ion semiconductor sequencing analysis of 24 representative samples revealed that the abundances of Acinetobacter and Arthrobacter spp. significantly correlated with the prevalence of E. coli, and quantitative PCR analyses in combination with selective plate count assay verified these correlations. To our knowledge, this is the first report to characterize the diversity of microorganisms of game meats at retail in Japan, together with identification of dominant microbiota. Our data suggest the necessity of bottom-up hygienic assessment in areas of slaughtering and processing facilities to improve microbiological safety.

Semiconductor Sequencing Analysis of Chromosomal Copy Number Variations in Spontaneous Miscarriage

BackgroundArray CGH is the criterion standard for identifying copy number variations (CNV), but the restrictive requirement of DNA quality and relatively high cost prevent the use of this method as a general assay in hospitals in developing countries. Our principal objective was to determine whether the semiconductor sequencing platform (SSP) could be an alternative method in CNV detection for spontaneous miscarriage.Material/MethodsA total of 443 spontaneous miscarriage samples were collected and subjected to low-coverage (0.1X) whole-genome analysis by SSP. These samples were verified by array CGH and 8 low-quality DNA samples were analyzed by SSP and validated by MLPA.ResultsSSP detected 195 chromosomal numerical abnormalities, 74 CNVs, and 9 mosaicisms among the 435 samples. Among 74 CNV abnormalities, SSP detected an equal number (56) of CNVs 56 >1 Mb with array CGH. However, SSP missed more 6 cases CNVs <1 Mb than array CGH (12 vs. 18). SSP detected more mosaicisms than array CGH (9 vs. 7, p=0.5). Interestingly, SSP detected the mosaicism which had only 8% X monosomy, which was much lower than the minimal percentage of monosomy that was detected by array CGH.ConclusionsSSP is of equivalent efficacy as array CGH in detecting CNVs >1 Mb, and performs better in identifying mosaicism. With the merits of low cost and less demand of input DNA, SSP is a good alternative for use in genetic diagnosis.

Cost-effective and accurate method of measuring fetal fraction using SNP imputation.

With the discovery of cell-free fetal DNA in maternal blood, the demand for non-invasive prenatal testing (NIPT) has been increasing. To obtain reliable NIPT results, it is important to accurately estimate the fetal fraction. In this study, we propose an accurate and cost-effective method for measuring fetal fractions using single-nucleotide polymorphisms (SNPs). A total of 84 samples were sequenced via semiconductor sequencing using a 0.3× sequencing coverage. SNPs were genotyped to estimate the fetal fraction. Approximately 900 000 SNPs were genotyped, and 250 000 of these SNPs matched the semiconductor sequencing results. We performed SNP imputation (1000Genome phase3 and HRC v1.1 reference panel) to increase the number of SNPs. The correlation coefficients (R2) of the fetal fraction estimated using the ratio of non-maternal alleles when coverage was reduced to 0.01 following SNP imputation were 0.93 (HRC v1.1 reference panel) and 0.90 (1000GP3 reference panel). An R2 of 0.72 was found at 0.01× sequencing coverage with no imputation performed. We developed an accurate method to measure fetal fraction using SNP imputation, showing cost-effectiveness by using different commercially available SNP chips and lowering the coverage. We also showed that semiconductor sequencing, which is an inexpensive option, was useful for measuring fetal fraction. python source code and guidelines can be found at https://github.com/KMJ403/fetalfraction-SNPimpute. kangskim@ajou.ac.kr or sunshinkim3@gmail.com. Supplementary data are available at Bioinformatics online.

Microbial community response to silver nanoparticles and Ag+ in nitrifying activated sludge revealed by ion semiconductor sequencing

Silver nanoparticles (AgNPs), which are known to act as biocides, are incorporated into medical and consumer products including athletic clothing, stuffed animals, liquid dietary supplements, and more. The increasing use of AgNPs in these products is likely to lead to their entry into both natural and engineered systems, which has the potential to disrupt bacterial processes including those involved in nutrient cycling in wastewater treatment. In the present study, sequencing batch reactors (SBR) mimicking secondary wastewater treatment were operated to determine the effects of AgNPs on the microbial communities contained within activated sludge of wastewater treatment plants (WWTP). SBRs were treated with 0.2 and 2ppm of either gum Arabic (GA)-coated AgNPs, citrate (Ca)-coated AgNPs, or Ag+ as AgNO3. Cell samples were collected and DNA isolated periodically throughout SBR operation. DNA was used for Ion Torrent Next Gen Sequencing of the V3 region of the 16S rDNA gene. Subsequent analyses revealed that the microbial community both shifted and recovered quickly in response to Ag+. Both AgNP treatments resulted in slower initial community shifts than that observed with the Ag+ treatment. GA-AgNPs elicited the longest lasting effect. Additional examination of nitrogen removal bacteria suggested the possibility of an increase in sludge bulking species with increased concentrations of AgNPs in WWTPs. This study supports the hypothesis that Ag+ release from AgNPs is largely coating-dependent and thus a key driver in dictating AgNP toxicity.

Isolation and characterization of microsatellite primers for the critically endangered shrub Styphelia longissima (Ericaceae).

Premise of the study:Microsatellite markers were developed for population genetic analysis in the rare shrub Styphelia longissima (Ericaceae).Methods and Results:We generated ca. 2.5 million sequence reads using a Personal Genome Machine semiconductor sequencer. Using the QDD pipeline, we designed primers for >12,000 sequences with PCR product lengths of 80–480 bp. From these, 30 primer pairs were selected and screened using PCR; of these, 16 loci were found to be polymorphic, four loci were monomorphic, and 10 loci did not amplify reliably for S. longissima. For a sample of 57 plants from the only known population, the number of alleles observed for these 16 loci ranged from two to 21 and expected heterozygosity ranged from 0.49 to 0.91. These markers were also amplified in Astroloma xerophyllum, a closely related species.Conclusions:These markers will be used to characterize population genetic variation, spatial genetic structure, mating system parameters, and dispersal to aid in the management and conservation of the rare shrub S. longissima.

Two Novel Mutations Associated With Ataxia-Telangiectasia Identified Using an Ion AmpliSeq Inherited Disease Panel.

Ataxia-telangiectasia (A-T), or Louis-Bar syndrome, is a rare neurodegenerative disorder associated with immunodeficiency. For families with at least one affected child, timely A-T genotyping during any subsequent pregnancy allows the parents to make an informed decision about whether to continue to term when the fetus is affected. Mutations in the ATM gene, which is 150 kb long, give rise to A-T; more than 600 pathogenic variants in ATM have been characterized since 1990 and new mutations continue to be discovered annually. Therefore, limiting genetic screening to previously known SNPs by PCR or hybridization with microarrays may not identify the specific pathogenic genotype in ATM for a given A-T family. However, recent developments in next-generation sequencing technology offer prompt high-throughput full-length sequencing of genomic fragments of interest. This allows the identification of the whole spectrum of mutations in a gene, including any novel ones. We report two A-T families with affected children and current pregnancies. Both families are consanguineous and originate from Caucasian regions of Russia and Azerbaijan. Before our study, no ATM mutations had been identified in the older children of these families. We used ion semiconductor sequencing and an Ion AmpliSeq™ Inherited Disease Panel to perform complete ATM gene sequencing in a single member of each family. Then we compared the experimentally determined genotype with the affected/normal phenotype distribution in the whole family to provide unambiguous evidence of pathogenic mutations responsible for A-T. A single novel SNP was allocated to each family. In the first case, we found a mononucleotide deletion, and in the second, a mononucleotide insertion. Both mutations lead to truncation of the ATM protein product. Identification of the pathogenic mutation in each family was performed in a timely fashion, allowing the fetuses to be tested and diagnosed. The parents chose to continue with both pregnancies as both fetuses had a healthy genotype and thus were not at risk of A-T.

Validation of Next-Generation Sequencer for 24-Chromosome Aneuploidy Screening in Human Embryos.

Next-Generation Sequencing (NGS) is the latest approach for preimplantation genetic diagnoses (PGD). The purpose of this study was to standardize and validate an NGS method for comprehensive chromosome screening and to investigate its applicability to PGD. Embryo biopsy, whole-genome amplification, array comparative genomic hybridization (aCGH), and semiconductor sequencing were employed. A total of 204 whole-genome-amplified products were tested with an NGS-based protocol, from which 100 samples were used for standardization and to evaluate the quality of the results produced by this new technique. The remaining 104 samples tested by NGS were previously analyzed by using the aCGH protocol to determine the sensitivity and specificity of this new technique. In total, 4896 chromosomes were assessed, out of which 196 carried a copy number imbalance. NGS sensitivity and specificity for calling aneuploidy was 100%. This is the first study reporting preclinical validation and accuracy assessment of the Ion Torrent Personal Genome Machine (PGM) NGS-based comprehensive chromosome screening method using blastomeres and blastocysts. The NGS proved to be a robust methodology and is ready for clinical application in reproductive medicine, with the major advantage of low cost and enhanced precision when compared with other technologies used for comprehensive chromosome screening.

Characterization and transferability of microsatellites for the Kangaroo Paw, Anigozanthos manglesii (Haemodoraceae).

Premise of the study:Microsatellites were developed for the future assessment of population genetic structure, mating system, and dispersal of the perennial kangaroo paw, Anigozanthos manglesii (Haemodoraceae), and related species.Methods and Results:Using a Personal Genome Machine (PGM) semiconductor sequencer, ca. 4.03 million sequence reads were generated. QDD pipeline software was used to identify 190,000 microsatellite-containing regions and priming sites. From these, 90 were chosen and screened using PCR, and 15 polymorphic markers identified. These sites amplified di-, tri-, and pentanucleotide repeats with one to 20 alleles per locus. Primers were also amplified across congeners A. bicolor, A. flavidus, A. gabrielae, A. humilis, A. preissii, A. pulcherrimus, A. rufus, and A. viridis to assess cross-species transferability.Conclusions:These markers provide a resource for population genetic studies in A. manglesii and other species within the genus.

Genetic Analyses of the NF1 Gene in Turkish Neurofibromatosis Type I Patients and Definition of three Novel Variants.

Neurofibromatosis Type I (NF1) is a multi systemic autosomal dominant neurocutaneous disorder predisposing patients to have benign and/or malignant lesions predominantly of the skin, nervous system and bone. Loss of function mutations or deletions of the NF1 gene is responsible for NF1 disease. Involvement of various pathogenic variants, the size of the gene and presence of pseudogenes makes it difficult to analyze. We aimed to report the results of 2 years of multiplex ligation-dependent probe amplification (MLPA) and next generation sequencing (NGS) for genetic diagnosis of NF1 applied at our genetic diagnosis center. The MLPA, semiconductor sequencing and Sanger sequencing were performed in genomic DNA samples from 24 unrelated patients and their affected family members referred to our center suspected of having NF1. In total, three novel and 12 known pathogenic variants and a whole gene deletion were determined. We suggest that next generation sequencing is a practical tool for genetic analysis of NF1. Deletion/duplication analysis with MLPA may also be helpful for patients clinically diagnosed to carry NF1 but do not have a detectable mutation in NGS.

Estimating tumor mutation burden using next-generation sequencing assay.

e14529 Background: High tumor mutation burden is a promising biomarker shown in some cancer types to predict positive response to immune checkpoint inhibitors. We show the ability of a targeted cancer research panel to estimate tumor mutation burden per megabase. Methods: We present a single sample analysis workflow for estimating tumor mutation burden from FFPE research samples. Our assay utilizes a PCR-based target enrichment panel that interrogates 409 known key cancer genes covering ~1.7 megabase of genomic space. Our customized workflow requires only 20 ng of input DNA, and enables a 2 day turn-around time from sample to the result. The ease of our workflow enables less than 60 minutes of hands-on time for automated library preparation and templating on a batch of 8 samples. Next-generation Sequencing is performed using high throughput semiconductor sequencing platform to achieve sufficient depth (~500x coverage) and accuracy. Our custom analysis pipeline calls variants with optimized parameters on the tumor sample only, with no matched normal sample required, and applies filters to remove germ-line variants and background noise. Results: Through in silico analysis performed on The Cancer Genome Atlas (TCGA) data we demonstrate that the panel achieves high sensitivity ( &gt; 90%) and specificity ( &gt; 95%) necessary to separate high and low mutation burden samples. Our workflow provides clear separation between allele ratio of somatic and germ-line variants. Our filters consistently eliminate ~98% of germ-line variants from the set of all variants called in single sample analysis workflow. Evidence from tumor-normal analyses on matched tumor and normal samples suggests that our single sample analysis, on the tumor sample only, detects somatic mutations with high sensitivity and specificity with residual of &lt; 3% germ-line variants. Our pipeline identifies mutational signatures consistent with specific mechanisms such as spontaneous deamination of 5-methyl-cytosine, as well as base-damage from FFPE processing. Conclusions: A simple workflow has been developed on the Ion Torrent sequencing platform to estimate per megabase somatic mutational burden from a single tumor FFPE sample. This solution can help advance research in immuno-oncology.

Noninvasive Prenatal Detection of Trisomy 21 by Targeted Semiconductor Sequencing: A Technical Feasibility Study

Objective: To develop an alternate noninvasive prenatal testing method for the assessment of trisomy 21 (T21) using a targeted semiconductor sequencing approach. Methods: A customized AmpliSeq panel was designed with 1,067 primer pairs targeting specific regions on chromosomes 21, 18, 13, and others. A total of 235 samples, including 30 affected with T21, were sequenced with an Ion Torrent Proton sequencer, and a method was developed for assessing the probability of fetal aneuploidy via derivation of a risk score. Results: Application of the derived risk score yields a bimodal distribution, with the affected samples clustering near 1.0 and the unaffected near 0. For a risk score cutoff of 0.345, above which all would be considered at “high risk,” all 30 T21-positive pregnancies were correctly predicted to be affected, and 199 of the 205 non-T21 samples were correctly predicted. The average hands-on time spent on library preparation and sequencing was 19 h in total, and the average number of reads of sequence obtained was 3.75 million per sample. Conclusion: With the described targeted sequencing approach on the semiconductor platform using a custom-designed library and a probabilistic statistical approach, we have demonstrated the feasibility of an alternate method of assessment for fetal T21.