Measuring Pharmacogene Variant Function at Scale Using Multiplexed Assays

2021 ◽  
Vol 62 (1) ◽  
Author(s):  
Renee C. Geck ◽  
Gabriel Boyle ◽  
Clara J. Amorosi ◽  
Douglas M. Fowler ◽  
Maitreya J. Dunham
Keyword(s):  
Next Generation Sequencing ◽  
Functional Data ◽  
Genetic Variants ◽  
Genetic Information ◽  
Annual Review ◽  
Publication Date ◽  
Drug Selection ◽  
Functional Consequences ◽  
Pharmacology And Toxicology ◽  
Generation Sequencing

As costs of next-generation sequencing decrease, identification of genetic variants has far outpaced our ability to understand their functional consequences. This lack of understanding is a central challenge to a key promise of pharmacogenomics: using genetic information to guide drug selection and dosing. Recently developed multiplexed assays of variant effect enable experimental measurement of the function of thousands of variants simultaneously. Here, we describe multiplexed assays that have been performed on nearly 25,000 variants in eight key pharmacogenes ( ADRB2, CYP2C9, CYP2C19, NUDT15, SLCO1B1, TMPT, VKORC1, and the LDLR promoter), discuss advances in experimental design, and explore key challenges that must be overcome to maximize the utility of multiplexed functional data. Expected final online publication date for the Annual Review of Pharmacology and Toxicology, Volume 62 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals Machine-Learned Association of Next-Generation Sequencing-Derived Variants in Thermosensitive Ion Channels Genes with Human Thermal Pain Sensitivity Phenotypes

2020 ◽  
Vol 21 (12) ◽  
pp. 4367 ◽  
Author(s):  
Jörn Lötsch ◽  
Dario Kringel ◽  
Gerd Geisslinger ◽  
Bruno G. Oertel ◽  
Eduard Resch ◽  
...  
Keyword(s):  
Machine Learning ◽  
Next Generation Sequencing ◽  
Ion Channels ◽  
Ion Channel ◽  
Genetic Variants ◽  
Genetic Information ◽  
Pain Thresholds ◽  
Thermal Pain ◽  
Thermal Stimuli ◽  
Generation Sequencing

Genetic association studies have shown their usefulness in assessing the role of ion channels in human thermal pain perception. We used machine learning to construct a complex phenotype from pain thresholds to thermal stimuli and associate it with the genetic information derived from the next-generation sequencing (NGS) of 15 ion channel genes which are involved in thermal perception, including ASIC1, ASIC2, ASIC3, ASIC4, TRPA1, TRPC1, TRPM2, TRPM3, TRPM4, TRPM5, TRPM8, TRPV1, TRPV2, TRPV3, and TRPV4. Phenotypic information was complete in 82 subjects and NGS genotypes were available in 67 subjects. A network of artificial neurons, implemented as emergent self-organizing maps, discovered two clusters characterized by high or low pain thresholds for heat and cold pain. A total of 1071 variants were discovered in the 15 ion channel genes. After feature selection, 80 genetic variants were retained for an association analysis based on machine learning. The measured performance of machine learning-mediated phenotype assignment based on this genetic information resulted in an area under the receiver operating characteristic curve of 77.2%, justifying a phenotype classification based on the genetic information. A further item categorization finally resulted in 38 genetic variants that contributed most to the phenotype assignment. Most of them (10) belonged to the TRPV3 gene, followed by TRPM3 (6). Therefore, the analysis successfully identified the particular importance of TRPV3 and TRPM3 for an average pain phenotype defined by the sensitivity to moderate thermal stimuli.

scholarly journals Assay of frequency and spectrum of genetic variants in TTN in healthy russian population

2021 ◽  
Vol 8 (5) ◽  
pp. 29-37
Author(s):  
Yu. A. Vakhrushev ◽  
A. A. Kozyreva ◽  
S. V. Zhuk ◽  
O. P. Rotar ◽  
A. A. Kostareva
Keyword(s):  
Next Generation Sequencing ◽  
Genetic Variants ◽  
Sanger Sequencing ◽  
Heart Diseases ◽  
Genetic Research ◽  
Russian Population ◽  
Next Generation ◽  
Data Bases ◽  
International Data ◽  
Generation Sequencing

Background. Gene TTN associated with all types of cardiomyopathy, however its large size (294 b.p.) warrants a lot of individual unique genetic variants or variants with low frequency, that aggravates their interpretation. Besides that nowadays there is no data about spectrum of variants in this gene in healthy Russian population. Recognition frequency and spectrum of variants in gene TTN in healthy Russian population will allow us to use it for interpretation results of molecular genetic research for patients with different heart pathology, and define prognosis for different heart diseases.Objective. Recognize frequency and spectrum of single nucleotide and truncating variants in gene TTN in healthy Russian population and compare it with international data bases, and evaluate level of pathogenicity these variants and their distributing across titin structure.Design and methods. 192 men in age 55,8±6,6 years were tested with next-generation sequencing. Identified genetic variants were confirmed by Sanger sequencing. Results. Allele missense variant frequency (with frequency less than 0.1%) in TTN in healthy Russian population amount to 15.1 %, and truncating variants — 0.52 %. 37,9 % of them were variants of unknown significance, 62 % — likely-benign and 0.1 % — benign. There was no pathological and likely-pathological variants. Identified genetic variants distributed throughout the titin structure.Conclusion. Received result is congruent с international data bases and researches. Expended laboratory method (Next generation sequencing and confirmation with Sanger sequencing) can be used both in clinical practice, and in creating data bases of genetic variants in healthy Russian population.

scholarly journals Clinical results and importance of next-generation sequencing (NGS) in detecting targeted mutations in the treatment of metastatic Lung Cancer: Single center initial results

2019 ◽  
Vol 6 (12) ◽  
pp. 327-332
Author(s):  
Cem Mirili ◽  
Çiğdem Kahraman ◽  
Ali Yılmaz ◽  
Mehmet Bilici ◽  
Salim Başol Tekin ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Next Generation Sequencing ◽  
Genetic Variants ◽  
Genetic Variant ◽  
Clinical Results ◽  
Clinical Effects ◽  
Next Generation ◽  
Variant Analysis ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

Objective:  In Lung cancer (LC), which is one of the most deadly cancers, longer survival has been achieved with targeted agents. For this reason, it is important to find the patients who are suitable for targeted therapies. Next-generation sequencing (NGS) is a method that allows multiple genetic variants to be detected simultaneously by performing massive parallel DNA sequencing at the same time. We wanted to reveal the clinical effects and benefits of genetic variant analysis with NGS for our patients. Material and Methods: Patients with stage 4 non-squamous and not otherwise specified (NOS) Non-small cell LC who underwent genetic variant analysis with NGS were included in the study, retrospectively. Results: Total of the 51 patients, 41 (80.4%) were male and the median age was 64 (35-85) years. According to TNM, 21 (41.2%) patients were stage 4A, 30 (58.8%) patients were stage 4B and 39 (76.5%) patients had adenocarcinoma and 12 (23.5%) had NOS histology. NGS analyzes were performed in median 14 days (8-43) and determined 24 pathogenic variants in 17 (%25) patients: 9EGFR (%17,6), 6PIKC3A (%11,7), 5KRAS (%9,8), 2PTEN (%3,9), 1BRAF (%1,9), 1MET (%1,6) (7 of them concomitantly). Cytotoxic chemotherapy was recommended in 41, anti-EGFR agents in 8 (afatinib in 4, erlotinib in 4 patients) patients and anti-BRAF+MEK inhibitor agent (dabrafenib+trametinib) in 1 patient. Conclusion: With the NGS, in just two weeks, both target and resistance genetic variants of our patients were detected at the same time and individualized treatments were applied. In this way, both time and cost were saved.

Prevalence and Adaptive Impact of Introgression

2021 ◽  
Vol 55 (1) ◽  
Author(s):  
Nathaniel B. Edelman ◽  
James Mallet
Keyword(s):  
Genetic Variation ◽  
Adaptive Evolution ◽  
Genetic Variants ◽  
Genomic Data ◽  
Annual Review ◽  
Publication Date ◽  
Adaptive Introgression ◽  
Changing Environments ◽  
Potential Benefits

Alleles that introgressed between species can influence the evolutionary and ecological fate of species exposed to novel environments. Hybrid offspring of different species are often unfit, and yet it has long been argued that introgression can be a potent force in evolution, especially in plants. Over the last two decades, genomic data have increasingly provided evidence that introgression is a critically important source of genetic variation and that this additional variation can be useful in adaptive evolution of both animals and plants. Here, we review factors that influence the probability that foreign genetic variants provide long-term benefits (so-called adaptive introgression) and discuss their potential benefits. We find that introgression plays an important role in adaptive evolution, particularly when a species is far from its fitness optimum, such as when they expand their range or are subject to changing environments. Expected final online publication date for the Annual Review of Genetics, Volume 55 is November 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Chemogenetic Approaches to Probe Redox Pathways: Implications for Cardiovascular Pharmacology and Toxicology

2021 ◽  
Vol 62 (1) ◽  
Author(s):  
Benjamin Steinhorn ◽  
Emrah Eroglu ◽  
Thomas Michel
Keyword(s):  
Dynamic Control ◽  
Cardiovascular Pharmacology ◽  
Redox Balance ◽  
Signaling Molecules ◽  
Annual Review ◽  
Publication Date ◽  
Acid Oxidase ◽  
Amino Acid Oxidase ◽  
Pharmacology And Toxicology ◽  
Intracellular Redox

Chemogenetics refers to experimental systems that dynamically regulate the activity of a recombinant protein by providing or withholding the protein's specific biochemical stimulus. Chemogenetic tools permit precise dynamic control of specific signaling molecules to delineate the roles of those molecules in physiology and disease. Yeast d-amino acid oxidase (DAAO) enables chemogenetic manipulation of intracellular redox balance by generating hydrogen peroxide only in the presence of d-amino acids. Advances in biosensors have allowed the precise quantitation of these signaling molecules. The combination of chemogenetic approaches with biosensor methodologies has opened up new lines of investigation, allowing the analysis of intracellular redox pathways that modulate physiological and pathological cell responses. We anticipate that newly developed transgenic chemogenetic models will permit dynamic modulation of cellular redox balance in diverse cells and tissues and will facilitate the identification and validation of novel therapeutic targets involved in both physiological redox pathways and pathological oxidative stress. Expected final online publication date for the Annual Review of Pharmacology and Toxicology, Volume 62 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Perspectives on Allele-Specific Expression

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Siobhan Cleary ◽  
Cathal Seoighe
Keyword(s):  
Gene Expression ◽  
Genetic Variants ◽  
Data Science ◽  
Genetic Diseases ◽  
Annual Review ◽  
Publication Date ◽  
Biomedical Data ◽  
Specific Expression ◽  
Cis Acting ◽  
Gene Copies

Diploidy has profound implications for population genetics and susceptibility to genetic diseases. Although two copies are present for most genes in the human genome, they are not necessarily both active or active at the same level in a given individual. Genomic imprinting, resulting in exclusive or biased expression in favor of the allele of paternal or maternal origin, is now believed to affect hundreds of human genes. A far greater number of genes display unequal expression of gene copies due to cis-acting genetic variants that perturb gene expression. The availability of data generated by RNA sequencing applied to large numbers of individuals and tissue types has generated unprecedented opportunities to assess the contribution of genetic variation to allelic imbalance in gene expression. Here we review the insights gained through the analysis of these data about the extent of the genetic contribution to allelic expression imbalance, the tools and statistical models for gene expression imbalance, and what the results obtained reveal about the contribution of genetic variants that alter gene expression to complex human diseases and phenotypes. Expected final online publication date for the Annual Review of Biomedical Data Science, Volume 4 is July 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Performance of next-generation sequencing for detection of clinically actionable genetic variants in cancer.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 11099-11099
Author(s):  
Mohammed Omar Hussaini ◽  
Ian S. Hagemann ◽  
Teresa Mary Cox ◽  
Christina Lockwood ◽  
Karen Seibert ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Genetic Variants ◽  
Simultaneous Detection ◽  
Genetic Alterations ◽  
Sequence Variants ◽  
Tumor Type ◽  
Cancer Genes ◽  
Next Generation ◽  
Therapeutic Implications ◽  
Generation Sequencing

11099 Background: Next-generation sequencing (NGS) allows for simultaneous detection of numerous actionable somatic variants in cancer. We have implemented a clinical NGS panel to detect genetic alterations in 25 genes with established roles in cancer and report here the frequency of clinically actionable genetic variants in a variety of cancer types. Methods: NGS testing was performed in a CAP-certified, CLIA-licensed environment on DNA extracted from FFPE tissue in 209 cases spanning 41 histologic tumor types. DNA was enriched by hybrid capture and sequenced to >1,000x average coverage on Illumina sequencers with 2x101bp or 2x150bp reads. Variants were called using clinically validated parameters using the Genome Analysis Toolkit, Pindel, and the custom-written Clinical Genomicist Workstation. Results: Non-small cell lung cancer (45%), pancreatic cancer (10%), and colorectal cancer (8%) were the most common tumors sent for NGS analysis. An average of 3 (range 1- 16) non-synonymous, non-SNP sequence variants per case (SNVs and indels) were detected in the 130kb exonic target. Variants were most commonly seen in TP53, KRAS, and EGFR. 27% of cases (56/209) had one or more variants with therapeutic implications for the tumor type tested (e.g., EGFR mutation in NSCLC). 15% of cases (32/209) showed actionable variants not generally associated with the malignancy tested (e.g., detection of an activating KITvariant in thymic carcinoma). 10% of cases (21/209) had variants that were prognostically significant but not directly targetable. Some cases (9%) had variants that were prognostic/diagnostic and targetable. In 117 cases (56% of total), no therapeutically or prognostically significant variants were identified. Overall, in 92 cases (44%), NGS testing yielded information with therapeutic (majority), prognostic, or diagnostic ramifications. Conclusions: We found that 44% of unselected cancer cases have clinically relevant sequence variants in a set of 25 commonly mutated cancer genes. Our data suggest that clinical NGS testing may serve as an integral tool in realizing the potential of precision medicine in oncology.

scholarly journals NOVEL CYP2C19 GENETIC VARIANTS ASSOCIATED WITH STENT THROMBOSIS: A NEXT GENERATION SEQUENCING STUDY

2018 ◽  
Vol 71 (11) ◽  
pp. A1205
Author(s):  
Kashish Goel ◽  
Saurabh Baheti ◽  
Axel Åkerblom ◽  
Niclas Eriksson ◽  
Lars Wallentin ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Stent Thrombosis ◽  
Genetic Variants ◽  
Next Generation ◽  
Generation Sequencing

scholarly journals Next generation sequencing (NGS) in oncology: lights and shadows

2016 ◽  
Vol 4 (1) ◽  
pp. 17-19
Author(s):  
Margherita Nannini ◽  
Maria A. Pantaleo
Keyword(s):  
Next Generation Sequencing ◽  
Genome Sequencing ◽  
Next Generation ◽  
Coding Regions ◽  
Oncology Research ◽  
Potential Applications ◽  
Functional Consequences ◽  
Next Generation Sequencing Ngs ◽  
Tumor Genome ◽  
Generation Sequencing

Advances in tumor genome sequencing using next generation sequencing (NGS) technologies have facilitated a greater understanding of the genetic abnormalities involved in cancer development and progression, dramatically changing oncology research. There are several different types of NGS technologies. Whole genome sequencing (WGS) determines the sequence of the complete genome, providing information on both coding and non-coding regions and structural variants. However, use is limited by the large volume of data generated, and associated time and resource costs. Whole exome sequencing (WES) determines the sequence of coding regions only, making it faster and cheaper than WGS, and the functional consequences of variants are easier to interpret. However, all variations in non-coding regions are missed. WGS and WES are often used together to maximize detection of variants. A less costly approach is the use of targeted sequencing, which focuses on particular regions of interest, based on their biological relevance. NGS technologies can also be used to sequence RNA, referred to as RNA-Seq. All these NGS technologies, individually or in combination, have a number of potential applications, including identification of biomarkers, and development of diagnostic and therapeutic strategies. However, although advances have been made, there are a number of limitations to be overcome before NGS technologies are routinely applied in both research and clinical practice.

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