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William P Gilks, Tanya M Pennell, Ilona Flis, Matthew T Webster, Edward H Morrow
As part of a study into the molecular genetics of sexually dimorphic complex traits, we used next-generation sequencing to obtain data on genomic variation in an outbred laboratory-adapted fruit fly (Drosophila melanogaster) population. We successfully resequenced the whole genome of 220 hemiclonal females that were heterozygous for the same Berkeley reference line genome (BDGP6/dm6), and a unique haplotype from the outbred base population (LHM). The use of a static and known genetic background enabled us to obtain sequences from whole genome phased haplotypes...
2016: F1000Research
Kaname Kojima, Yosuke Kawai, Kazuharu Misawa, Takahiro Mimori, Masao Nagasaki
BACKGROUND: In the estimation of repeat numbers in a short tandem repeat (STR) region from high-throughput sequencing data, two types of strategies are mainly taken: a strategy based on counting repeat patterns included in sequence reads spanning the region and a strategy based on estimating the difference between the actual insert size and the insert size inferred from paired-end reads. The quality of sequence alignment is crucial, especially in the former approaches although usual alignment methods have difficulty in STR regions due to insertions and deletions caused by the variations of repeat numbers...
December 3, 2016: BMC Genomics
Karin R Engelhardt, Yaobo Xu, Angela Grainger, Mila G C Germani Batacchi, David J Swan, Joseph D P Willet, Intan J Abd Hamid, Philipp Agyeman, Dawn Barge, Shahnaz Bibi, Lucy Jenkins, Terence J Flood, Mario Abinun, Mary A Slatter, Andrew R Gennery, Andrew J Cant, Mauro Santibanez Koref, Kimberly Gilmour, Sophie Hambleton
PURPOSE: We aimed to achieve a retrospective molecular diagnosis by applying state-of-the-art genomic sequencing methods to past patients with T-B+NK+ severe combined immunodeficiency (SCID). We included identification of copy number variations (CNVs) by whole exome sequencing (WES) using the CNV calling method ExomeDepth to detect gene alterations for which routine Sanger sequencing analysis is not suitable, such as large heterozygous deletions. METHODS: Of a total of 12 undiagnosed patients with T-B+NK+ SCID, we analyzed eight probands by WES, using GATK to detect single nucleotide variants (SNVs) and small insertions and deletions (INDELs) and ExomeDepth to detect CNVs...
November 2, 2016: Journal of Clinical Immunology
Hassol Lim, Young-Mi Park, Jong-Keuk Lee, Hyun Taek Lim
OBJECTIVE: To present an efficient and successful application of a single-exome sequencing study in a family clinically diagnosed with X-linked retinitis pigmentosa. DESIGN: Exome sequencing study based on clinical examination data. PARTICIPANTS: An 8-year-old proband and his family. METHODS: The proband and his family members underwent comprehensive ophthalmologic examinations. Exome sequencing was undertaken in the proband using Agilent SureSelect Human All Exon Kit and Illumina HiSeq 2000 platform...
October 2016: Canadian Journal of Ophthalmology. Journal Canadien D'ophtalmologie
Kari Branham, Hiroko Matsui, Pooja Biswas, Aditya A Guru, Michael Hicks, John J Suk, He Li, David Jakubosky, Tao Long, Amalio Telenti, Naoki Nariai, John R Heckenlively, Kelly A Frazer, Paul A Sieving, Radha Ayyagari
While more than 250 genes are known to cause inherited retinal degenerations (IRD), nearly 40-50% of families have the genetic basis for their disease unknown. In this study we sought to identify the underlying cause of inherited retinal degeneration (IRD) in a family by whole genome sequence (WGS) analysis. Clinical characterization including standard ophthalmic examination, fundus photography, visual field testing, electroretinography, and review of medical and family history was performed. WGS was performed on affected and unaffected family members using Illumina HiSeq X10...
October 7, 2016: Physiological Genomics
Shulan Tian, Huihuang Yan, Michael Kalmbach, Susan L Slager
BACKGROUND: GATK Best Practices workflows are widely used in large-scale sequencing projects and recommend post-alignment processing before variant calling. Two key post-processing steps include the computationally intensive local realignment around known INDELs and base quality score recalibration (BQSR). Both have been shown to reduce erroneous calls; however, the findings are mainly supported by the analytical pipeline that incorporates BWA and GATK UnifiedGenotyper. It is not known whether there is any benefit of post-processing and to what extent the benefit might be for pipelines implementing other methods, especially given that both mappers and callers are typically updated...
October 3, 2016: BMC Bioinformatics
Jingwen Wang, Tiina Skoog, Elisabet Einarsdottir, Tea Kaartokallio, Hannele Laivuori, Anna Grauers, Paul Gerdhem, Marjo Hytönen, Hannes Lohi, Juha Kere, Hong Jiao
High-throughput sequencing using pooled DNA samples can facilitate genome-wide studies on rare and low-frequency variants in a large population. Some major questions concerning the pooling sequencing strategy are whether rare and low-frequency variants can be detected reliably, and whether estimated minor allele frequencies (MAFs) can represent the actual values obtained from individually genotyped samples. In this study, we evaluated MAF estimates using three variant detection tools with two sets of pooled whole exome sequencing (WES) and one set of pooled whole genome sequencing (WGS) data...
2016: Scientific Reports
Audrone Jakaitiene, Mariano Avino, Mario Rosario Guarracino
Against diminishing costs, next-generation sequencing (NGS) still remains expensive for studies with a large number of individuals. As cost saving, sequencing genome of pools containing multiple samples might be used. Currently, there are many software available for the detection of single-nucleotide polymorphisms (SNPs). Sensitivity and specificity depend on the model used and data analyzed, indicating that all software have space for improvement. We use beta-binomial model to detect rare mutations in untagged pooled NGS experiments...
September 15, 2016: Journal of Computational Biology: a Journal of Computational Molecular Cell Biology
Zhuoyi Huang, Navin Rustagi, Narayanan Veeraraghavan, Andrew Carroll, Richard Gibbs, Eric Boerwinkle, Manjunath Gorentla Venkata, Fuli Yu
BACKGROUND: The decreasing costs of sequencing are driving the need for cost effective and real time variant calling of whole genome sequencing data. The scale of these projects are far beyond the capacity of typical computing resources available with most research labs. Other infrastructures like the cloud AWS environment and supercomputers also have limitations due to which large scale joint variant calling becomes infeasible, and infrastructure specific variant calling strategies either fail to scale up to large datasets or abandon joint calling strategies...
September 10, 2016: BMC Bioinformatics
Steve Laurie, Marcos Fernandez-Callejo, Santiago Marco-Sola, Jean-Remi Trotta, Jordi Camps, Alejandro Chacón, Antonio Espinosa, Marta Gut, Ivo Gut, Simon Heath, Sergi Beltran
As whole genome sequencing becomes cheaper and faster, it will progressively substitute targeted next-generation sequencing as standard practice in research and diagnostics. However, computing cost-performance ratio is not advancing at an equivalent rate. Therefore, it is essential to evaluate the robustness of the variant detection process taking into account the computing resources required. We have benchmarked six combinations of state-of-the-art read aligners (BWA-MEM and GEM3) and variant callers (FreeBayes, GATK HaplotypeCaller, SAMtools) on whole genome and whole exome sequencing data from the NA12878 human sample...
December 2016: Human Mutation
Shulan Tian, Huihuang Yan, Claudia Neuhauser, Susan L Slager
BACKGROUND: Current variant discovery methods often start with the mapping of short reads to a reference genome; yet, their performance deteriorates in genomic regions where the reads are highly divergent from the reference sequence. This is particularly problematic for the human leukocyte antigen (HLA) region on chromosome 6p21.3. This region is associated with over 100 diseases, but variant calling is hindered by the extreme divergence across different haplotypes. RESULTS: We simulated reads from chromosome 6 exonic regions over a wide range of sequence divergence and coverage depth...
2016: BMC Genomics
Claudia Perea, Juan Fernando De La Hoz, Daniel Felipe Cruz, Juan David Lobaton, Paulo Izquierdo, Juan Camilo Quintero, Bodo Raatz, Jorge Duitama
BACKGROUND: Therecent development and availability of different genotype by sequencing (GBS) protocols provided a cost-effective approach to perform high-resolution genomic analysis of entire populations in different species. The central component of all these protocols is the digestion of the initial DNA with known restriction enzymes, to generate sequencing fragments at predictable and reproducible sites. This allows to genotype thousands of genetic markers on populations with hundreds of individuals...
2016: BMC Genomics
Emily Humble, Michael A S Thorne, Jaume Forcada, Joseph I Hoffman
BACKGROUND: Single nucleotide polymorphism (SNP) discovery is an important goal of many studies. However, the number of 'putative' SNPs discovered from a sequence resource may not provide a reliable indication of the number that will successfully validate with a given genotyping technology. For this it may be necessary to account for factors such as the method used for SNP discovery and the type of sequence data from which it originates, suitability of the SNP flanking sequences for probe design, and genomic context...
2016: BMC Research Notes
Yongchao Liu, Martin Loewer, Srinivas Aluru, Bertil Schmidt
BACKGROUND: Various approaches to calling single-nucleotide variants (SNVs) or insertion-or-deletion (indel) mutations have been developed based on next-generation sequencing (NGS). However, most of them are dedicated to a particular type of mutation, e.g. germline SNVs in normal cells, somatic SNVs in cancer/tumor cells, or indels only. In the literature, efficient and integrated callers for both germline and somatic SNVs/indels have not yet been extensively investigated. RESULTS: We present SNVSniffer, an efficient and integrated caller identifying both germline and somatic SNVs/indels from NGS data...
2016: BMC Systems Biology
Kotaro Ishii, Yusuke Kazama, Tomonari Hirano, Michiaki Hamada, Yukiteru Ono, Mieko Yamada, Tomoko Abe
Detection of mutations at the whole-genome level is now possible by the use of high-throughput sequencing. However, determining mutations is a time-consuming process due to the number of false positives provided by mutation-detecting programs. AMAP (automated mutation analysis pipeline) was developed to overcome this issue. AMAP integrates a set of well-validated programs for mapping (BWA), removal of potential PCR duplicates (Picard), realignment (GATK) and detection of mutations (SAMtools, GATK, Pindel, BreakDancer and CNVnator)...
July 25, 2016: Genes & Genetic Systems
Jian Song, Xiping Yang, Marcio F R Resende, Leandro G Neves, James Todd, Jisen Zhang, Jack C Comstock, Jianping Wang
Sugarcane (Saccharum spp.) is an important sugar and biofuel crop with high polyploid and complex genomes. The Saccharum complex, comprised of Saccharum genus and a few related genera, are important genetic resources for sugarcane breeding. A large amount of natural variation exists within the Saccharum complex. Though understanding their allelic variation has been challenging, it is critical to dissect allelic structure and to identify the alleles controlling important traits in sugarcane. To characterize natural variations in Saccharum complex, a target enrichment sequencing approach was used to assay 12 representative germplasm accessions...
2016: Frontiers in Plant Science
T Daniel Andrews, Yogesh Jeelall, Dipti Talaulikar, Christopher C Goodnow, Matthew A Field
Background. Massively parallel sequencing technology is being used to sequence highly diverse populations of DNA such as that derived from heterogeneous cell mixtures containing both wild-type and disease-related states. At the core of such molecule tagging techniques is the tagging and identification of sequence reads derived from individual input DNA molecules, which must be first computationally disambiguated to generate read groups sharing common sequence tags, with each read group representing a single input DNA molecule...
2016: PeerJ
Can Firtina, Can Alkan
RESULTS: Here, we present a comprehensive analysis on the reproducibility of computational characterization of genomic variants using high throughput sequencing data. We reanalyzed the same datasets twice, using the same tools with the same parameters, where we only altered the order of reads in the input (i.e. FASTQ file). Reshuffling caused the reads from repetitive regions being mapped to different locations in the second alignment, and we observed similar results when we only applied a scatter/gather approach for read mapping-without prior shuffling...
August 1, 2016: Bioinformatics
Jeonghwan Youk, Youngil Koh, Ji-Won Kim, Dae-Yoon Kim, Hyunkyung Park, Woo June Jung, Kwang-Sung Ahn, Hongseok Yun, Inho Park, Choong-Hyun Sun, Seungmook Lee, Sung-Soo Yoon
BACKGROUND: Mast cell leukemia (MCL) is the most aggressive form of systemic mastocytosis disorders. Owing to its rarity, neither pathogenesis nor standard treatment is established for this orphan disease. Hence, we tried to treat a patient with MCL based on the exome and transcriptome sequencing results of the patient's own DNA and RNA. METHODS: First, tumor DNA and RNA were extracted from bone marrow at the time of diagnosis. Germline DNA was extracted from the patient's saliva 45 days after induction chemotherapy and used as a control...
March 2016: Blood Research
Helen M Kamens, Robin P Corley, Phillip A Richmond, Todd M Darlington, Robin Dowell, Christian J Hopfer, Michael C Stallings, John K Hewitt, Sandra A Brown, Marissa A Ehringer
Common SNPs in nicotinic acetylcholine receptor genes (CHRN genes) have been associated with drug behaviors and personality traits, but the influence of rare genetic variants is not well characterized. The goal of this project was to identify novel rare variants in CHRN genes in the Center for Antisocial Drug Dependence (CADD) and Genetics of Antisocial Drug Dependence (GADD) samples and to determine if low frequency variants are associated with antisocial drug dependence. Two samples of 114 and 200 individuals were selected using a case/control design including the tails of the phenotypic distribution of antisocial drug dependence...
September 2016: Behavior Genetics
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