Key Single Nucleotide Polymorphisms Research Articles

Abstract PS02-05: Trajectories and predictors of peripheral neuropathy after neoadjuvant chemotherapy in a prospective cohort of 11,014 patients with early breast cancer

Abstract Background Peripheral neuropathy (PN) is a debilitating adverse event in patients with early breast cancer (BC) receiving (neo)adjuvant chemotherapy (CT). We harnessed the CANTO cohort study to detail clinical trajectories and explore clinical and genetic predictors of PN. Methods CANTO (CANcer TOxicities - NCT01993498) prospectively enrolled invasive stage I-III BC patients (pts) of 26 French comprehensive cancer centers. Pts were assessed at diagnosis, 3-6 (M6), 12 (M12), 36 (M36), and 60 (M60) months after treatment, defined as completion of surgery, CT or radiotherapy, whichever comes last. At each time point, PN events including paresthesia, sensory and motor neuropathy were collected according to NCI-CTC v4.0 criteria. A genome-wide association study (GWAS) was conducted to identify genetic predictors of PN, using Illumina GSA BeadChips. Minimac4/1000G was used to impute additional single nucleotide polymorphisms (SNPs). After stringent quality control measures, 1,894,475 SNPs with a minor allele frequency (MAF) >0.05 were evaluated. Longitudinal trajectories of PN events were descriptively examined. Statistical associations between each SNP and PN events measured at different time points, and between SNPs and trajectories, were performed with logistic regression assuming a log-additive genetic model. All analyses were adjusted for key clinical parameters and the first ten axes of principal component analysis of the genetic data to control for population stratification. Results Of 12,012 included pts (data lock Aug. 2022), 11,014 (91.7%) were analyzed. Age was < 50 and >65 in 3407 and 2759 pts (31% and 25%, respectively). Overweight/obesity and diabetes were recorded in 5328 (48%) and 458 pts (4%). A neurologic history was observed in 1360 pts (13%). Stage 0-I and II-III were observed in 5356 (49%) and 5512 pts (51%), and 4011 pts had an axillary dissection (37%). CT was administered in 5790 pts (53%), including a taxane (tax) in 5542 pts (96%). Shortly, all grade and grade 2+ PN was observed in 29% and 12%; 27% and 10%; 20% and 10%; 13% and 10% of pts at M6, M12, M36 and M60, respectively. We derived 5 trajectories of overall PN, deemed “never”, “always”, “appears”, “transient” and “disappears”, in respectively 54%, 10%, 9%, 7% and 19% of the pts. Similar trajectories were built for the 3 categories of PN events. We built 9 predictive nomograms including key clinical parameters and time of analysis. E.g., grade 2+ PN at M6 was independently predicted by a medical history of carpal tunnel syndrome, past neurologic history and exposure to tax. Grade 2+ PN at M36 was predicted by past neurologic history and exposure to tax, and largely by previous PN at M6 or M12. The GWAS analysis included 7633 pts (84%). Four independent SNPs adding predictive value to the clinical nomograms were identified at a suggestive level of association (p < 1e-6), including one SNP in the NCAM1 gene (involved in neurogenesis) for M6 PN (OR=1.40, 95%CI 1.23-1.60, p=4.8e-7, see table) and one SNP in the CLDN11 gene (regulates oligodendrocytes) for M12 sensory PN (OR=1.32; 95%CI 1.17-1.49, p=7.5e-6). For rare ( < 5%) toxicities, 10 independent suggestive SNPs were identified, including one SNP in the NELL1 gene (neural cell growth regulation and differentiation) for the “always” trajectory (OR=1.61, 95%CI 1.31-1.99, p=7.6e-6) and one SNP in the KCNIP1 gene (neuronal sensor) for M36 motor PN (OR=1.5, 95%CI 1.7-3.5, p=3.1e-07). Conclusions Risk of early peripheral neuropathy is associated with previous neurological history and taxane exposure. Patients with PN at M6 or M12 are highly exposed to long-term PN. Some key SNPs may add independent predictive value for specific PN endpoints. Exploratory results of interest were produced for rarer toxicities and typical clinical trajectories. Detailed results will be presented at the meeting. All PN, M6 Multivariate analyses of the risk of peripheral neuropathy, all grades, at M6, without and with GWAS input. Citation Format: Youenn Drouet, Emilie Thomas, Florence Lerebours, Barbara Pistilli, Olivier Trédan, Christelle Jouannaud, Marion Fournier, Philippe Rouanet, Laurence Vanlemmens, CHARLES COUTANT, Asma Dhaini Merimeche, Baptiste Sauterey, Christelle Levy, Mario Campone, Carole Tarpin, Marie-Ange Mouret-Reynier, Olivier Rigal, Thierry Petit, Sophie Guillermet, Antoine Arnaud, Mahmoud Ibrahim, Sylvie Giacchetti, Florence Dalenc, Johanna Wassermann, Olivier Arsène, Ariane Darut-Jouve, Sibille Everhard, Ines Vaz Luis, Anne-Laure Martin, Fabrice André, Jean-François Deleuze, Alain Viari, Matthieu Carton, Paul Cottu. Trajectories and predictors of peripheral neuropathy after neoadjuvant chemotherapy in a prospective cohort of 11,014 patients with early breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS02-05.

Investigating the mechanism of rough phenotype in a naturally attenuated Brucella strain: insights from whole genome sequencing.

Brucellosis, a significant zoonotic disease, not only impacts animal health but also profoundly influences the host immune responses through gut microbiome. Our research focuses on whole genome sequencing and comparative genomic analysis of these Brucella strains to understand the mechanisms of their virulence changes that may deepen our comprehension of the host immune dysregulation. The Brucella melitensis strain CMCC55210 and its naturally attenuated variant CMCC55210a were used as models. Biochemical identification tests and in vivo experiments in mice verified the characteristics of the strain. To understand the mechanism of attenuation, we then performed de novo sequencing of these two strains. We discovered notable genomic differences between the two strains, with a key single nucleotide polymorphism (SNP) mutation in the manB gene potentially altering lipopolysaccharide (LPS) structure and influencing host immunity to the pathogen. This mutation might contribute to the attenuated strain's altered impact on the host's macrophage immune response, overing insights into the mechanisms of immune dysregulation linked to intracellular survival. Furthermore, we explore that manipulating the Type I restriction-modification system in Brucella can significantly impact its genome stability with the DNA damage response, consequently affecting the host's immune system. This study not only contributes to understanding the complex relationship between pathogens, and the immune system but also opens avenues for innovative therapeutic interventions in inflammatory diseases driven by microbial and immune dysregulation.

Bulked Segregant RNA-Seq Reveals Different Gene Expression Patterns and Mutant Genes Associated with the Zigzag Pattern of Tea Plants (Camellia sinensis).

The unique zigzag-patterned tea plant is a rare germplasm resource. However, the molecular mechanism behind the formation of zigzag stems remains unclear. To address this, a BC1 genetic population of tea plants with zigzag stems was studied using histological observation and bulked segregant RNA-seq. The analysis revealed 1494 differentially expressed genes (DEGs) between the upright and zigzag stem groups. These DEGs may regulate the transduction and biosynthesis of plant hormones, and the effects on the phenylpropane biosynthesis pathways may cause the accumulation of lignin. Tissue sections further supported this finding, showing differences in cell wall thickness between upright and curved stems, potentially due to lignin accumulation. Additionally, 262 single-nucleotide polymorphisms (SNPs) across 38 genes were identified as key SNPs, and 5 genes related to zigzag stems were identified through homologous gene function annotation. Mutations in these genes may impact auxin distribution and content, resulting in the asymmetric development of vascular bundles in curved stems. In summary, we identified the key genes associated with the tortuous phenotype by using BSR-seq on a BC1 population to minimize genetic background noise.

A two-step Bayesian network approach to identify key SNPs associated to multiple phenotypic traits in four purebred laying hen lines.

When purebred laying hen chicks hatch, they remain at a rearing farm until approximately 17 weeks of age, after which they are transferred to a laying farm. Chicks or pullets are removed from the flocks during these 17 weeks if they display any rearing abnormality. The aim of this study was to investigate associations between single nucleotide polymorphisms (SNPs) and rearing success of 4 purebred White Leghorns layer lines by implementing a Bayesian network approach. Phenotypic traits and SNPs of four purebred genetic White Leghorn layer lines were available for 23,000 rearing batches obtained between 2010 and 2020. Associations between incubation traits (clutch size, embryo mortality), rearing traits (genetic line, first week mortality, rearing abnormalities, natural death, rearing success, pullet flock age, and season) and SNPs were analyzed, using a two-step Bayesian Network (BN) approach. Furthermore, the SNPs were connected to their corresponding genes, which were further explored in bioinformatics databases. BN analysis revealed a total of 28 SNPs associated with some of the traits: ten SNPs were associated with clutch size, another 10 with rearing abnormalities, a single SNP with natural death, and seven SNPs with first week mortality. Exploration via bioinformatics databases showed that one of the SNPs (ENAH) had a protein predicted network composed of 11 other proteins. The major hub of this SNP was CDC42 protein, which has a role in egg production and reproduction. The results highlight the power of BNs in knowledge discovery and how their application in complex biological systems can help getting a deeper understanding of functionality underlying genetic variation of rearing success in laying hens. Improved welfare and production might result from the identified SNPs. Selecting for these SNPs through breeding could reduce stress and increase livability during rearing.

Potential Cause-and-Effect Relationship between Gut Microbiota and Childhood Neuroblastoma: A Mendelian Randomization Analysis.

To analyze the potential causal-effect of gut microbiota (GM) on neuroblastoma (NB) risk using a Mendelian randomization (MR) study. A two-sample MR study was conducted using summary statistics of the GM from the largest available meta-analysis of genome-wide association studies conducted by the MiBioGen consortium. Pooled statistics for childhood NB were obtained from the IEU Consortium release data (1627 cases and 3254 controls). Inverse variance-weighted, weighted median, MR-Egger, and weighted mod were used to examine the causal relationship between GM and childhood NB. Single-nucleotide polymorphism (SNP) genes of positive GM were extracted using the PLINK program, and correlations between key SNP genes and tumor-regulated genes were analyzed. Functional enrichment analysis and transcription factor prediction were performed. Inverse variance weighted (IVW) results indicated that Erysipelotrichia exerted a protective effect against childhood NB (odds ratio = 0.371, 95% Confidence interval: 0.173 - 0.795, P = 0.011) and that Oscillospira exerted a risk effect against childhood NB (odds ratio = 2.378, 95% Confidence interval: 1.121 - 5.043, P = 0.024), indicating the association of GM with childhood NB. Further screening analysis using the IVW test revealed a reliable causal relationship between Erysipelotrichia and NB. Two SNP genes (MUC4 and PELI2) of Erysipelotrichia were extracted and analyzed. Both key genes were significantly associated with tumor-regulated genes, enriched in several pathways associated with tumor progression, and correlated with several upstream transcription factors. It was observed that Erysipelotrichia is causally associated with NB using a two-sample MR study. Furthermore, the discovery of two SNP genes, MUC4 and PELI2, provides potential targets for the diagnosis and treatment of NB.

Construction of an Exudative Age-Related Macular Degeneration Diagnostic and Therapeutic Molecular Network Using Multi-Layer Network Analysis, a Fuzzy Logic Model, and Deep Learning Techniques: Are Retinal and Brain Neurodegenerative Disorders Related?

Neovascular age-related macular degeneration (nAMD) is a leading cause of irreversible visual impairment in the elderly. The current management of nAMD is limited and involves regular intravitreal administration of anti-vascular endothelial growth factor (anti-VEGF). However, the effectiveness of these treatments is limited by overlapping and compensatory pathways leading to unresponsiveness to anti-VEGF treatments in a significant portion of nAMD patients. Therefore, a system view of pathways involved in pathophysiology of nAMD will have significant clinical value. The aim of this study was to identify proteins, miRNAs, long non-coding RNAs (lncRNAs), various metabolites, and single-nucleotide polymorphisms (SNPs) with a significant role in the pathogenesis of nAMD. To accomplish this goal, we conducted a multi-layer network analysis, which identified 30 key genes, six miRNAs, and four lncRNAs. We also found three key metabolites that are common with AMD, Alzheimer's disease (AD) and schizophrenia. Moreover, we identified nine key SNPs and their related genes that are common among AMD, AD, schizophrenia, multiple sclerosis (MS), and Parkinson's disease (PD). Thus, our findings suggest that there exists a connection between nAMD and the aforementioned neurodegenerative disorders. In addition, our study also demonstrates the effectiveness of using artificial intelligence, specifically the LSTM network, a fuzzy logic model, and genetic algorithms, to identify important metabolites in complex metabolic pathways to open new avenues for the design and/or repurposing of drugs for nAMD treatment.

56 Genetic Models for Long-Term Neurocognitive Outcomes in Pediatric Medulloblastoma and Traumatic Brain Injury

Objective:Children who suffer from brain insults (i.e., traumatic brain injury (TBI), chemotherapy and radiation treatment for brain tumors) are susceptible to late-emerging cognitive sequelae. Even with similar neurological risk variables, variability in long-term cognitive outcomes remains an area of investigation for researchers of acquired brain injury. Given the potential for genetic factors to influence response to chemoradiation, researchers have examined associations between germline, inherited, single nucleotide polymorphisms (SNPs), and neurocognitive outcomes for cancer survivors. Children who sustain an uncomplicated mild TBI generally recover without long-term neuropsychological consequences. However, TBI survivors have overlapping mechanism categories with cancer survivors through secondary injury variables that can be influenced by genomic variation (e.g., oxidative stress and neuroinflammation). Furthermore, the study of genomic vulnerability is limited in heterogenous groups of pediatric TBI survivors. This study aims to identify associations between genotype and long-term neurocognitive outcomes for acquired brain injury survivors by utilizing machine learning to uncover pathophysiological similarities and differences between groups.Participants and Methods:Fourteen brain tumor survivors, 139 traumatic brain injury survivors, and 63 healthy, age-matched controls completed the Letter N-back task to obtain performances on core neurocognitive skills (attention, working memory, and processing speed). Ten targeted genotypes were examined across five pathophysiological pathways (neurotransmission, oxidative stress, neuroinflammation, plasticity, growth and repair, and folate metabolism). Data were trained and tested utilizing three regression machine learning models. Mean estimated error and R2 were generated for each neurocognitive outcome. A feature importance score for models with positive variance was generated to determine how predictive a given SNP is for neurocognitive outcomes.Results:Genotype only accounted for a small amount of variance in cognitive outcomes when all clinical groups were combined. The mean absolute error for the best-fitting models from analyses where all groups were combined decreased when groups were examined separately; however, the differences in model R2 values were not significant. The relationship between brain tumor survivors and processing speed performance depended on genotype. Two SNPs had positive feature importance at the interaction level (rs58225473 and rs1801394). These SNPs are located on the CACNB2 and MTR genes and have functional consequences for neurotransmission and folate metabolism. Models of traumatic brain injury survivors did not explain positive variance and could not be examined for feature importance. Additionally, even when removing the only mechanism of action that should not be relevant for TBI survivors (folate metabolism polymorphisms), the TBI models still did not explain positive variance.Conclusions:Findings of the importance of two key SNPs on MTR and CACNB2 genes align with recent systematic reviews, which found associations between these polymorphisms and neuropsychological outcomes in more than one group or cohort of pediatric cancer survivors. Models for TBI survivors were limited by the heterogeneity of the group and ceiling effects on performance. An understanding of genetic vulnerabilities influenced by treatment and injury-related factors in acquired brain injury will inform our understanding of the developing and recovering childhood brain. The current study is an initial contribution to this goal and highlights the utility of machine learning methodology for future studies that examine the influence of genetic heterogeneity in pediatric acquired brain injury.

Genome-wide association study for loin muscle area of commercial crossbred pigs.

Loin muscle area (LMA) is an important target trait of pig breeding. This study aimed to identify single nucleotide polymorphisms (SNPs) and genes associated with LMA in the Duroc×(Landrace×Yorkshire) crossbred pigs (DLY). A genome-wide association study was performed using the Illumina 50K chip to map the genetic marker and genes associated with LMA in 511 DLY pigs (255 boars and 256 sows). After quality control, we detected 35,426 SNPs, including six SNPs significantly associated with LMA in pigs, with MARC0094338 and ASGA0072817 being the two key SNPs responsible for 1.77% and 2.48% of the phenotypic variance of LMA, respectively. Based on previous research, we determined two candidate genes (growth hormone receptor [GHR] and 3-oxoacid Co A-transferase 1 [OXCT1]) that are associated with fat deposition and muscle growth and found further additional genes (MYOCD, ARHGAP44, ELAC2, MAP2K4, FBXO4, FBLL1, RARS1, SLIT3, and RANK3) that are presumed to have an effect on LMA. This study contributes to the identification of the mutation that underlies quantitative trait loci associated with LMA and to future pig breeding programs based on marker-assisted selection. Further studies are needed to elucidate the role of the identified candidate genes in the physiological processes involved in LMA regulation.

HvGST plays a key role in anthocyanin accumulation in colored barley.

Blue aleurone of barley is caused by the accumulation of delphinidin-based derivatives. Although these compounds are ideal nutrients for human health, they are undesirable contaminants in malt brewing. Therefore, the ability to add and remove this trait easily would facilitate breeding barley for different purposes. Here we identified a glutathione S-transferase gene (HvGST) that was responsible for the blue aleurone trait in Tibetan qingke barley by performing a genome-wide association study and RNA-sequencing analysis. Gene variation and expression analysis indicated that HvGST also participates in the transport and accumulation of anthocyanin in purple barley. Haplotype and the geographic distribution analyses of HvGST alleles revealed two independent natural variants responsible for the emergence of white aleurone: a 203-bp deletion causing premature termination of translation in qingke barley and two key single nucleotide polymorphisms in the promoter resulting in low transcription in Western barley. This study contributes to a better understanding of mechanisms of colored barley formation, and provides a comprehensive reference for marker-assisted barley breeding.

A Single Nucleotide Polymorphism in the WIF1 Promoter Region Regulates the Wool Length in Rabbits

Wool length is an important trait in the rabbit wool industry. Wnt inhibitory factor 1 (WIF1), a key gene, regulates hair follicle growth and development. This study explores the WIF1 gene relationship with wool production traits in three different rabbit breeds, Rex rabbit, New Zealand rabbit, and Angora rabbit. The rabbit WIF1 gene sequence was obtained from GenBank, and PCR and Sanger sequencing were applied to screen SNP (single nucleotide polymorphism) from the gene exons and promoter regions. Sequencing results found no SNP in the PCR products of 10 exons from the rabbit WIF1 gene, indicating that the WIF1 gene was not polymorphic. Thus, the gene was conserved in all three rabbit breeds. Only one SNP was found in the WIF1 promoter region, associated with wool-producing traits in rabbits. Luciferase activity assays showed that the AA genotype had higher transcriptional activities than the AG or GG genotype (p < 0.01). In addition, WIF1 was significantly upregulated in the Rex rabbit compared to the New Zealand rabbit and Angora rabbit (p < 0.01). In summary, a key SNP in the WIF1 promoter region was found to be associated with rabbit fiber length trait.

Impact of EFEMP1 on the survival outcome of biliary atresia in Thai infants

Genome-wide association studies (GWASs) have identified a genetic associated between EFEMP1 and biliary atresia (BA). To examine the susceptibility of single nucleotide polymorphisms (SNPs) in EFEMP1 in Thai BA patients, we performed an analysis of the genetic associations and biological interactions with previously reported key SNPs in ADD3, a key gene associated with BA. The study also used high-throughput sequencing to detect novel variants in both genes. In addition, the clinical impact of EFEMP1 SNPs in terms of survival association was also evaluated. The genotypes of 60 BA patients and 179 controls were evaluated using a TaqMan genotyping assay for rs2501577 and rs17095355 in ADD3 and rs6761893 and rs727878 in EFEMP1. The genotype frequencies were analyzed together with the SNP-SNP interactions. Fine mapping by whole-exome sequencing was performed to identify deleterious variants within both genes, and the survival analysis results were analyzed with the EFEMP1 SNPs. The recessive genotypes of rs2501577, rs17095355 and rs6761893 showed significantly higher frequencies in the BA patients than the controls, and a logistic regression showed that minor alleles of those SNPs increased the BA risk by ORs of 1.86, 1.67, and 1.84, respectively. Moreover, the SNP-SNP interference suggested that a combination of recessive alleles from the 2 genes resulted in an additive risk to BA. In addition, rare missense variants in the gene coding sequences were identified in 7 cases. Immunohistochemical studies revealed a pattern of ADD3 downregulation and EFEMP1 overexpression in the bile ducts of BA patients. Patients with the AA genotype of rs6761893 had significantly lower 5-year native liver survival (34.0%) than those with AT/TT (75.0%), with a log-rank p value of 0.041. Variants in EFEMP1 are associated with the occurrence of BA in Thai patients. In addition, these variants have an additive influence on BA risk when combined with ADD3 variants. Moreover, rs6761893 in EFEMP1 was indicative of survival in Thai BA patients.

Association of PCSK9 levels and genetic polymorphisms with stroke recurrence and functional outcome after acute ischemic stroke.

BackgroundProtein convertase subtilisin/kexin type 9 (PCSK9) is a hepatic protein that participated in the lipid homeostasis. Its high levels and polymorphisms are associated with high low-density lipoprotein cholesterol, increasing the vascular risk potentially. However, the association between PCSK9 levels, genetic polymorphisms, and ischemic stroke remains unclear. We aimed to study the relationship between PCSK9 levels, genetic polymorphisms, and stroke outcomes in patients with ischemic stroke.MethodsA total of 9,782 acute ischemic stroke patients registered in the China National Stroke Registry-III were included in this prospective study. Circulating PCSK9 concentrations and 11 key single-nucleotide polymorphisms (SNPs) were examined. The clinical outcomes included stroke recurrence, death, and poor functional outcome at 12 months.ResultsThe median PCSK9 level was 361.28 ng/mL. After adjusting for confounders, patients in the highest quartile of circulating PCSK9 had a relatively lower risk of 12-month stroke recurrence (HR 0.80, 95% CI: 0.67–0.96). No significant relationship between PCSK9 level and death or poor functional outcome was found. No significant relationship between SNPs and stroke outcomes at 12 months was found.ConclusionsThe high level of PCSK9 was associated with decreased stroke recurrence at 12 months in ischemic stroke patients. There was no significant association between PCSK9 polymorphisms and acute ischemic stroke based on a Chinese registry.

Prevalence and temporal changes of mutations linked to antimalarial drug resistance in Plasmodium falciparum and Plasmodium vivax in Palawan, Philippines

ObjectiveThis study provides 2016 data on the prevalence of key single nucleotide polymorphisms (SNPs) associated with antimalarial drug resistance in Palawan, Philippines. Findings were combined with historical data to model temporal changes in the prevalence of these SNPs in Plasmodium isolates. MethodsPlasmodium isolates were genotyped using drug resistance markers pfmdr1, pfcrt, pfdhfr, pfdhps, kelch-13, pvmdr1, pvdhfr, and pvdhps. Temporal trends in the probability of mutations were estimated as a function of time using a binomial generalised linear model. ResultsAll samples sequenced for Plasmodium falciparum chloroquine markers pfmdr1 and pfcrt had wild-type alleles. Varying mutation patterns were observed for the sulphadoxine/pyrimethamine markers pfdhps and pfdhfr; complete quintuplet mutations were not found. No SNPs were observed for the artemisinin marker kelch-13. For Plasmodium vivax, differing patterns were detected for pvmdr1, pvdhfr, and pvdhps. ConclusionsThe study findings suggest that the current drugs remain effective and that there is limited importation and establishment of resistant parasites in the area. Clear temporal trends were recognised, with prominent decreases in the proportions of pfcrt and pfmdr mutations detected within the past 15 years, consistent with a change in antimalarial drug policy. Continuous surveillance of antimalarial drug resistance is important to support malaria elimination efforts.

Structure, function and pharmacology of human itch receptor complexes.

In the clades of animals that diverged from the bony fish, a group of Mas-related G-protein-coupled receptors (MRGPRs) evolved that have an active role in itch and allergic signals1,2. As an MRGPR, MRGPRX2 is known to sense basic secretagogues(agents that promotesecretion) and is involved in itch signals and eliciting pseudoallergic reactions3-6. MRGPRX2 has been targeted by drug development efforts to prevent the side effects induced by certain drugs or to treat allergic diseases. Here we report a set of cryo-electron microscopy structures of the MRGPRX2-Gi1 trimer in complex with polycationic compound 48/80 or with inflammatory peptides. The structures of the MRGPRX2-Gi1 complex exhibited shallow, solvent-exposed ligand-binding pockets. We identified key common structural features of MRGPRX2 and describe a consensus motif for peptidic allergens. Beneath the ligand-binding pocket, the unusual kink formation at transmembrane domain 6 (TM6) and the replacement of the general toggle switch from Trp6.48 to Gly6.48 (superscript annotations as per Ballesteros-Weinstein nomenclature) suggest a distinct activation process. We characterized the interfaces of MRGPRX2 and the Gi trimer, and mapped the residues associated with key single-nucleotide polymorphisms on both the ligand and G-protein interfaces of MRGPRX2. Collectively, our results provide a structural basis for the sensing of cationic allergens by MRGPRX2, potentially facilitating the rational design of therapies to prevent unwanted pseudoallergic reactions.

Single nucleotide polymorphisms and copy-number variations in the Trypanosoma brucei repeat (TBR) sequence can be used to enhance amplification and genotyping of Trypanozoon strains.

The Trypanosoma brucei repeat (TBR) is a tandem repeat sequence present on the Trypanozoon minichromosomes. Here, we report that the TBR sequence is not as homogenous as previously believed. BLAST analysis of the available T. brucei genomes reveals various TBR sequences of 177 bp and 176 bp in length, which can be sorted into two TBR groups based on a few key single nucleotide polymorphisms. Conventional and quantitative PCR with primers matched to consensus sequences that target either TBR group show substantial copy-number variations in the TBR repertoire within a collection of 77 Trypanozoon strains. We developed the qTBR, a novel PCR consisting of three primers and two probes, to simultaneously amplify target sequences from each of the two TBR groups into one single qPCR reaction. This dual probe setup offers increased analytical sensitivity for the molecular detection of all Trypanozoon taxa, in particular for T.b. gambiense and T. evansi, when compared to existing TBR PCRs. By combining the qTBR with 18S rDNA amplification as an internal standard, the relative copy-number of each TBR target sequence can be calculated and plotted, allowing for further classification of strains into TBR genotypes associated with East, West or Central Africa. Thus, the qTBR takes advantage of the single-nucleotide polymorphisms and copy number variations in the TBR sequences to enhance amplification and genotyping of all Trypanozoon strains, making it a promising tool for prevalence studies of African trypanosomiasis in both humans and animals.

GWAS Mediated Elucidation of Heterosis for Metric Traits in Cotton (Gossypium hirsutum L.) Across Multiple Environments.

For about a century, plant breeding has widely exploited the heterosis phenomenon–often considered as hybrid vigor–to increase agricultural productivity. The ensuing F1 hybrids can substantially outperform their progenitors due to heterozygous combinations that mitigate deleterious mutations occurring in each genome. However, only fragmented knowledge is available concerning the underlying genes and processes that foster heterosis. Although cotton is among the highly valued crops, its improvement programs that involve the exploitation of heterosis are still limited in terms of significant accomplishments to make it broadly applicable in different agro-ecological zones. Here, F1 hybrids were derived from mating a diverse Upland Cotton germplasm with commercially valuable cultivars in the Line × Tester fashion and evaluated across multiple environments for 10 measurable traits. These traits were dissected into five different heterosis types and specific combining ability (SCA). Subsequent genome-wide predictions along-with association analyses uncovered a set of 298 highly significant key single nucleotide polymorphisms (SNPs)/Quantitative Trait Nucleotides (QTNs) and 271 heterotic Quantitative Trait Nucleotides (hQTNs) related to agronomic and fiber quality traits. The integration of a genome wide association study with RNA-sequence analysis yielded 275 candidate genes in the vicinity of key SNPs/QTNs. Fiber micronaire (MIC) and lint percentage (LP) had the maximum number of associated genes, i.e., each with 45 related to QTNs/hQTNs. A total of 54 putative candidate genes were identified in association with HETEROSIS of quoted traits. The novel players in the heterosis mechanism highlighted in this study may prove to be scientifically and biologically important for cotton biologists, and for those breeders engaged in cotton fiber and yield improvement programs.

Low HDL concentration in rs2048327-G carriers can predispose men to develop coronary heart disease: Tehran Cardiometabolic genetic study (TCGS).

Recent genome-wide association studies (GWAS) highlighted the importance of genetic variations on SLC22A3 and MIA3 genes in developing coronary heart disease (CHD) among different ethnicities. However, the influence of these variations is not recognized within the Iranian population. Hence, in the present study, we aim to investigate two key single nucleotide polymorphisms (SNPs) on CHD incidence in this population. For this purpose, from Tehran Cardiometabolic Genetic Study (TCGS), 453 individuals with CHD were selected as a case and 453 individuals as a control that matched their age and gender. After quality control of two selected SNPs, rs2048327 (SLC22A3) and rs17465637 (MIA3), we used genotyps resulted from chip-typing technology and conducted the logistic regression analysis adjusted for non-genetic risk factors to detect the possible association of these SNPs with the CHD development. Our findings demonstrated the rs2048327-G and rs17465637-C can significantly increase the risk of CHD development about two times in only males and females, respectively. Interestingly, in the male carriers of the risk allele (G) of rs2048327, the low high-density lipoprotein (HDL) level can significantly predispose them to develop coronary heart disease in the future. According to our results, paying more attention to gender and genetic markers can help more efficient coronary heart disease screening and diagnosis.

A Prospective Diagnostic Study to Measure the Accuracy of Detection of SARS-CoV-2 Variants Of Concern (VOC) Utilising a Novel RT-PCR GENotyping Algorithm in an <i>in silico</i> Evaluation (VOC-GENIE)

Background: SARS-CoV-2 variants of concern (VOCs) have been associated with higher rate of transmission, and evasion of immunisation and antibody therapeutics. Variant sequencing is widely utilized in the UK. However, only 0.5% (~650k) of the 133 million cumulative positive cases worldwide were sequenced (in GISAID) on 08 April 2021 with 97% from Europe and North America and only ~0.25% (~320k) were variant sequences. This may be due to the lack of availability, high cost, infrastructure and expert staff required for sequencing. Public health decisions based on a non-randomised sample of 0.5% of the population may be insufficiently powered, and subject to sampling bias and systematic error. In addition, sequencing is rarely available in situ in a clinically relevant timeframe and thus, is not currently compatible with diagnosis and treatment patient care pathways. Therefore, we investigated an alternative approach using polymerase chain reaction (PCR) genotyping to detect the key single nucleotide polymorphisms (SNPs) associated with increased transmission and immune evasion in SARS-CoV-2 variants.Methods: We investigated the utility of SARS-CoV-2 SNP detection with a panel of PCR-genotyping assays in a large data set of 640,482 SARS-CoV-2 high quality, full length sequences using a prospective in silico trial design and explored the potential impact of rapid in situ variant testing on the COVID-19 diagnosis and treatment patient pathway. Results: Five SNPs were selected by screening the published literature for a reported association with increased transmission and / or immune evasion. 344881 sequences contained one or more of the five SNPs. This algorithm of SNPs was found to be able to identify the four variants of concern (VOCs) and sequences containing the E484K and L452R escape mutations.Interpretation: The in silico analysis suggest that the key mutations and variants of SARS-CoV-2 may be reliably detected using a focused algorithm of biologically relevant SNPs. This highlights the potential for rapid in situ PCR genotyping to compliment or replace sequencing or to be utilized instead of sequences in settings where sequencing is not feasible, accessible or affordable. Rapid detection of variants with in situ PCR genotyping may facilitate a more effective COVID-19 diagnosis and treatment patient pathway. Funding: The study was funded by Primer Design (UK), with kind contributions from all academic partners.Declaration of Interests: Stephen Kidd, Nick Cortes, Nathan Moore, Kate Templeton, Alex Richter and Alice Goring have no conflicting interests. R.A Trevor, Daryl Borley, Paul Oladimeji, Prachi Teltumbde, Seden Grippon, and Aida Sanchez-Bretano are employees of Novacyt group, which is a medical diagnostics company operating in the COVID-19 variant testing field. R.A Trevor has no additional direct conflicts but is a shareholder in a number of un-related private and public companies that do not operate in the COVID-19 or diagnostics field. Joanne Martin has no direct conflicts of interest. She is a principal investigator of a care home trial using Novacyt rapid testing and National Specialty Advisor for Pathology for NHS England and Improvement. She is a director and shareholder of Biomoti a drug delivery company and has a shareholding in Glyconics, a diagnostics company.

Prospective clinical trial examining the impact of genetic variation in FADS1 on the metabolism of linoleic acid– and ɣ-linolenic acid–containing botanical oils

Unexplained heterogeneity in clinical trials has resulted in questions regarding the effectiveness of ɣ-linolenic acid (GLA)-containing botanical oil supplements. This heterogeneity may be explained by genetic variation within the fatty acid desaturase (FADS) gene cluster that is associated with circulating and tissue concentrations of arachidonic acid (ARA) and dihomo-ɣ-linolenic acid (DGLA), both of which may be synthesized from GLA and result in proinflammatory and anti-inflammatory metabolites, respectively. The objective of this study was to prospectively compare the capacity of a non-Hispanic white cohort, stratified by FADS genotype at the key single-nucleotide polymorphism (SNP) rs174537, to metabolize 18-carbon omega-6 (n-6) PUFAs in borage oil (BO) and soybean oil (SO) to GLA, DGLA, and ARA. Healthy adults (n=64) participated in a randomized, double-blind, crossover intervention. Individuals received encapsulated BO (Borago officinalis L.; 37% LA and 23% GLA) or SO [Glycine max (L.) Merr.; 50% LA and 0% GLA] for 4 wk, followed by an 8-wk washout period, before consuming the opposite oil for 4 wk. Serum lipids and markers of inflammation (C-reactive protein) were assessed for both oil types at baseline and during weeks 2 and 4 of the intervention. SO supplementation failed to alter circulating concentrations of any n-6 long-chain PUFAs. In contrast, a modest daily dose of BO elevated serum concentrations of GLA and DGLA in an rs174537 genotype-dependent manner. In particular, DGLA increased by 57% (95% CI: 0.38, 0.79) in GG genotype individuals, but by 141% (95% CI: 1.03, 2.85) in TT individuals. For ARA, baseline concentrations varied substantially by genotype and increased modestly with BO supplementation, suggesting a key role for FADS variation in the balance of DGLA and ARA. The results of this study clearly suggest that personalized and population-based approaches considering FADS genetic variation may be necessary to optimize the design of future clinical studies with GLA-containing oils. This trial was registered at clinicaltrials.gov as NCT02337231.

Implication of genetic variants in overweight and obesity susceptibility among the young Arab population of the United Arab Emirates.

Overweight and obesity are major risk factors for Type 2 Diabetes Mellitus (T2DM), cardiovascular disease (CVD) and cancer. Genetic predisposition has been shown to play a key role in obesity, and genome-wide association studies (GWAS) have identified multiple loci linked with obesity in various ethnic groups. The aim of this study was to validate the reported genetic variants associated with obesity and overweight in a young UAE Arab population. Twenty-two associated single nucleotide polymorphisms (SNPs) at 11 loci (FTO, MC4R, TMEM18, KCTD15, MTCH2, SH2B1, TFAP2B, GNPDA2, NEGR1, PCSK1 and BDNF) were studied in 392 controls and 318 overweight/obese young Emiratis (aged 18-35years). After adjusting for age and smoking, rs3751812 of the FTO gene was associated with overweight/obesity in male participants (p-value<0.016), while SNPs rs17782313, rs571312 of the MC4R gene and rs12463617 of the TMEM18 gene were significantly associated with overweight/obesity in female participants (p-value=0.001, 0.028, 0.044, respectively). Follow-up association tests and logistic regression revealed the contribution of the FTO rs3751812 and MC4R rs571213 SNPs to the risk of overweight/obesity after adjusting for age, sex and smoking (p-value=0.044, 0.049, respectively). In addition, the FTO rs3751812 was associated with the risk of overweight/obesity after adjusting for the effect of other markers (rs17782313, rs571312, rs2867125, rs6548238 and rs12463617) (p-value=0.035). A significant gene-gene interaction was seen between FTO, MCR4 and TMEM18 (p-value=0.013). Our data demonstrates that rs3751812 of the FTO gene is the key SNP associated with risk of overweight/obesity among the young UAE Arab population, in alignment with previous findings. Our results also indicate that the identified genes stratify with sex and risk of overweight/obesity. In addition to their direct association with overweight/obesity, rs17782313 and rs571312, as well as rs2867125 and rs6548238, may have a modifying effect on the risk of overweight/obesity caused by the rs3751812. Population-specific, sex-specific genetic profiling is important in understanding the heritability of obesity.