scholarly journals Demographic inference in barn swallows using whole-genome data shows signal for bottleneck and subspecies differentiation during the Holocene

2018 ◽  
Vol 27 (21) ◽  
pp. 4200-4212 ◽  
Author(s):  
Chris C. R. Smith ◽  
Samuel M. Flaxman ◽  
Elizabeth S. C. Scordato ◽  
Nolan C. Kane ◽  
Amanda K. Hund ◽  
...  
Keyword(s):  
Whole Genome ◽  
The Holocene ◽  
Subspecies Differentiation ◽  
Genome Data ◽  
Barn Swallows ◽  
Demographic Inference

Extracting a needle from a haystack: reanalysis of whole genome data reveals a readily translatable finding

2009 ◽  
Vol 39 (8) ◽  
pp. 1231-1235 ◽  
Author(s):  
R. Keers ◽  
A. E. Farmer ◽  
K. J. Aitchison
Keyword(s):  
Bipolar Disorder ◽  
Calcium Channel ◽  
Unmet Need ◽  
Whole Genome ◽  
Nucleotide Polymorphisms ◽  
Gene Encoding ◽  
Genome Data ◽  
Early Results ◽  
Genome Association ◽  
Genome Study

There is significant unmet need for more effective treatments for bipolar disorder. The drug discovery process is becoming prohibitively expensive. Hence, biomarker clues to assist or shortcut this process are now widely sought. Using the publicly available data from the whole genome association study conducted by the Wellcome Trust Case Control Consortium, we sought to identify groups of genetic markers (single nucleotide polymorphisms) in which each marker was independently associated with bipolar disorder, with a less stringent threshold than that set by the original investigators (p⩽1×10−4). We identified a group of markers occurring within the CACNA1C gene (encoding the alpha subunit of the calcium channel Cav1.2). We then ascertained that this locus had been previously associated with the disorder in both a smaller and a whole genome study, and that a number of drugs blocking this channel (including verapamil and diltiazem) had been trialled in the treatment of bipolar disorder. The dihydropyridine-based blockers such as nimodipine that bind specifically to Cav1.2 and are more penetrant to the central nervous system have shown some promising early results; however, further trials are indicated. In addition, migraine is commonly seen in affective disorder, and calcium channel antagonists are successfully used in the treatment of migraine. One such agent, flunarizine, is structurally related to other first-generation derivatives of antihistamines such as antipsychotics. This implies that flunarizine could be useful in the treatment of bipolar disorder, and, furthermore, that other currently licensed drugs should be investigated for antagonism of Cav1.2.

scholarly journals Population Genomic- and Phylogenomic-Enabled Advances to Increase Insight Into Pathogen Biology and Epidemiology

2021 ◽  
Vol 111 (1) ◽  
pp. 8-11
Author(s):  
Remco Stam ◽  
Pierre Gladieux ◽  
Boris A. Vinatzer ◽  
Erica M. Goss ◽  
Neha Potnis ◽  
...  
Keyword(s):  
Population Genetics ◽  
Population Genomics ◽  
Cost Effective ◽  
Whole Genome ◽  
Genome Data ◽  
Sequencing Technologies ◽  
Population Genomic ◽  
High Throughput Dna Sequencing ◽  
Opening Up ◽  
Insight Into

Population genetics has been a key discipline in phytopathology for many years. The recent rise in cost-effective, high-throughput DNA sequencing technologies, allows sequencing of dozens, if not hundreds of specimens, turning population genetics into population genomics and opening up new, exciting opportunities as described in this Focus Issue . Without the limitations of genetic markers and the availability of whole or near whole-genome data, population genomics can give new insights into the biology, evolution and adaptation, and dissemination patterns of plant-associated microbes.

scholarly journals High Resolution Ancestry Deconvolution for Next Generation Genomic Data

2021 ◽  
Author(s):  
Helgi Hilmarsson ◽  
Arvind S. Kumar ◽  
Richa Rastogi ◽  
Carlos D. Bustamante ◽  
Daniel Mas Montserrat ◽  
...  
Keyword(s):  
High Resolution ◽  
Prediction Models ◽  
Association Studies ◽  
Training Data ◽  
Genome Wide Association Studies ◽  
Whole Genome ◽  
Next Generation ◽  
Genome Data ◽  
Computational Performance ◽  
Genetic Risk Prediction

ABSTRACTAs genome-wide association studies and genetic risk prediction models are extended to globally diverse and admixed cohorts, ancestry deconvolution has become an increasingly important tool. Also known as local ancestry inference (LAI), this technique identifies the ancestry of each region of an individual’s genome, thus permitting downstream analyses to account for genetic effects that vary between ancestries. Since existing LAI methods were developed before the rise of massive, whole genome biobanks, they are computationally burdened by these large next generation datasets. Current LAI algorithms also fail to harness the potential of whole genome sequences, falling well short of the accuracy that such high variant densities can enable. Here we introduce Gnomix, a set of algorithms that address each of these points, achieving higher accuracy and swifter computational performance than any existing LAI method, while also enabling portable models that are particularly useful when training data are not shareable due to privacy or other restrictions. We demonstrate Gnomix (and its swift phase correction counterpart Gnofix) on worldwide whole-genome data from both humans and canids and utilize its high resolution accuracy to identify the location of ancient New World haplotypes in the Xoloitzcuintle, dating back over 100 generations. Code is available at https://github.com/AI-sandbox/gnomix.

scholarly journals NOVOPlasty:de novoassembly of organelle genomes from whole genome data

2016 ◽  
pp. gkw955 ◽  
Author(s):  
Nicolas Dierckxsens ◽  
Patrick Mardulyn ◽  
Guillaume Smits
Keyword(s):  
Whole Genome ◽  
Genome Data ◽  
Organelle Genomes

scholarly journals Identification of Klebsiella capsule synthesis loci from whole genome data

2016 ◽  
Vol 2 (12) ◽  
Author(s):  
Kelly L. Wyres ◽  
Ryan R. Wick ◽  
Claire Gorrie ◽  
Adam Jenney ◽  
Rainer Follador ◽  
...  
Keyword(s):  
Whole Genome ◽  
Genome Data

scholarly journals halSynteny: a fast, easy-to-use conserved synteny block construction method for multiple whole-genome alignments

GigaScience ◽  
2020 ◽  
Vol 9 (6) ◽  
Author(s):  
Ksenia Krasheninnikova ◽  
Mark Diekhans ◽  
Joel Armstrong ◽  
Aleksei Dievskii ◽  
Benedict Paten ◽  
...  
Keyword(s):  
Large Scale ◽  
Pairwise Alignment ◽  
Synteny Block ◽  
Rapid Identification ◽  
Full Genome Sequence ◽  
Whole Genome ◽  
Full Genome ◽  
Genome Data ◽  
Multiple Alignments ◽  
Binary Format

Abstract Background Large-scale sequencing projects provide high-quality full-genome data that can be used for reconstruction of chromosomal exchanges and rearrangements that disrupt conserved syntenic blocks. The highest resolution of cross-species homology can be obtained on the basis of whole-genome, reference-free alignments. Very large multiple alignments of full-genome sequence stored in a binary format demand an accurate and efficient computational approach for synteny block production. Findings halSynteny performs efficient processing of pairwise alignment blocks for any pair of genomes in the alignment. The tool is part of the HAL comparative genomics suite and is targeted to build synteny blocks for multi-hundred–way, reference-free vertebrate alignments built with the Cactus system. Conclusions halSynteny enables an accurate and rapid identification of synteny in multiple full-genome alignments. The method is implemented in C++11 as a component of the halTools software and released under MIT license. The package is available at https://github.com/ComparativeGenomicsToolkit/hal/.

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