Several Single Nucleotide Polymorphisms Research Articles

Survey of target site mutations linked with insecticide resistance in Italian populations of Aphis gossypii.

Aphis gossypii is a worldwide agricultural pest that causes high levels of economic losses by feeding and transmitting virus diseases. It is usually controlled by chemical insecticides, but this could lead to the selection of resistant populations. Several single nucleotide polymorphisms (SNPs) have been identified associated with insecticide resistance. Monitoring activities to detect the presence of such mutations in field populations can have an important role in insect pest management but, currently, no information on Italian strains is available. The presence of target site mutations conferring resistance to different insecticides was analysed in Italian field collected populations of A. gossypii with an allele specific approach (QSGG, Qualitative Sybr-Green Genotyping). Primers were designed to detect mutations in genes coding acetylcholinesterase (S431F), nicotinic acetylcholine receptor (R81T) and voltage-gated sodium channel (M918L and L1014F). S431F was widespread but with high variability across populations. R81T was detected for the first time in Italy but only in two populations. The L1014F mutation (kdr) was not found, while in the samples showing the M918L two different nucleotidic substitutions were detected. Mutant allele frequencies were, respectively, 0.70 (S431), 0.31 (M918) and 0.02 (R81). Further analysis on the voltage-gated sodium channel gene showed the presence of eight haplotypes and one non-synonymous mutation in the gene coding region. Multiple target-site mutations were detected within Italian populations. The combinations of genotypes observed in certain locations could affect negatively the control of this pest. Preliminary insights on the genetic structure in the Italian populations of A. gossypii were acquired. © 2024 Society of Chemical Industry.

A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Caucasian and Latin American Pregnant Women.

The pathophysiology of gestational diabetes mellitus (GDM) comprises clinical and genetic factors. In fact, GDM is associated with several single nucleotide polymorphisms (SNPs). This study aimed to build a prediction model of GDM combining clinical and genetic risk factors. A total of 1588 pregnant women from the San Carlos Cohort participated in the present study, including 1069 (67.3%) Caucasian (CAU) and 519 (32.7%) Latin American (LAT) individuals, and 255 (16.1%) had GDM. The incidence of GDM was similar in both groups (16.1% CAU and 16.0% LAT). Genotyping was performed via IPLEX Mass ARRAY PCR, selecting 110 SNPs based on literature references. SNPs showing the strongest likelihood of developing GDM were rs10830963, rs7651090, and rs1371614 in CAU and rs1387153 and rs9368222 in LAT. Clinical variables, including age, pre-pregnancy body mass index, and fasting plasma glucose (FPG) at 12 gestational weeks, predicted the risk of GDM (AUC 0.648, 95% CI 0.601-0.695 in CAU; AUC 0.688, 95% CI 0.628-9.748 in LAT), and adding SNPs modestly improved prediction (AUC 0.722, 95%CI 0.680-0.764 in CAU; AUC 0.769, 95% CI 0.711-0.826 in LAT). In conclusion, adding genetic variants enhanced the prediction model of GDM risk in CAU and LAT pregnant women.

Pain-related single nucleotide polymorphisms: association with lumbar spinal stenosis patient experience and non-surgical treatment outcomes.

Lumbar spinal stenosis (LSS) is common in our aging population resulting in pain and functional impairment. Recent advances in pain research have identified several single nucleotide polymorphisms (SNP) associated with inter-individual symptom and treatment response. The goal of the current study was to investigate the association of SNPs in Neuropeptide Y (NPY) and Catechol-O-methyltransferase (COMT) with pain, function, and treatment outcomes in Lumbar spinal stenosis (LSS) patients receiving non-surgical treatments. An exploratory observational biomarker study was performed ancillary to a previously published clinical trial evaluating three different non-surgical treatments for LSS. Saliva samples were obtained for single nucleotide polymorphism genotyping and blood samples were collected for NPY protein. Data on pain and function collected as part of the clinical trial at baseline, 2 and 6 months were examined for association with known polymorphisms in NPY and COMT. Subjects with the NPY rs16147 TT genotype exhibited higher baseline symptom severity but also a higher likelihood of responding to non-surgical treatments. Subjects with the COMT rs4680 GG genotype also exhibited higher baseline symptom severity but did not demonstrate greater response to treatment. NPY rs16147 and COMT rs4680 are important potential biomarkers associated with pain and function. NPY genotype may be useful in predicting response to non-surgical treatments in older adults with LSS.

Allele-Specific Regulation of the Candidate Autism Liability Gene RAI1 by the Enhancer Variant rs4925102 (C/G).

Retinoic acid-induced 1 (RAI1) is a dosage-sensitive gene that causes autistic phenotypes when deleted or duplicated. Observations from clinical cases and animal models also suggest that changes of RAI1 expression levels contribute to autism. Previously, we used a bioinformatic approach to identify several single nucleotide polymorphisms (SNPs) located within the 5'-region of RAI1 that correlate with RAI1 mRNA expression in the human brain. In particular, the SNP rs4925102 was identified as a candidate cis-acting regulatory variant, the genotype of which may affect the binding of transcription factors that influence RAI1 mRNA expression. In this study, we provide experimental evidence based on reporter gene, chromatin immunoprecipitation (ChIP), and chromatin conformation capture (3C) assays that rs4925102 regulates RAI1 mRNA expression in an allele-specific manner in human cell lines, including the neuroblastoma-derived cell line SH-SY5Y. We also describe a statistically significant association between rs4925102 genotype and autism spectrum disorder (ASD) diagnosis in a case-control study and near-statistically significant association in an Autism Genome Project (AGP) transmission disequilibrium (TDT) study using Caucasian subjects.

Integrative regulation of hLMR1 by dietary and genetic factors in nonalcoholic fatty liver disease and hyperlipidemia.

Long non-coding RNA (lncRNA) genes represent a large class of transcripts that are widely expressed across species. As most human lncRNAs are non-conserved, we recently employed a unique humanized liver mouse model to study lncRNAs expressed in human livers. We identified a human hepatocyte-specific lncRNA, hLMR1 (human lncRNA metabolic regulator 1), which is induced by feeding and promotes hepatic cholesterol synthesis. Recent genome-wide association studies (GWAS) found that several single-nucleotide polymorphisms (SNPs) from the hLMR1 gene locus are associated with blood lipids and markers of liver damage. These results suggest that dietary and genetic factors may regulate hLMR1 to affect disease progression. In this study, we first screened for nutritional/hormonal factors and found that hLMR1 was robustly induced by insulin/glucose in cultured human hepatocytes, and this induction is dependent on the transcription factor SREBP1. We then tested if GWAS SNPs genetically linked to hLMR1 could regulate hLMR1 expression. We found that DNA sequences flanking rs9653945, a SNP from the last exon of the hLMR1 gene, functions as an enhancer that can be robustly activated by SREBP1c depending on the presence of rs9653945 major allele (G). We further performed CRISPR base editing in human HepG2 cells and found that rs9653945 major (G) to minor (A) allele modification resulted in blunted insulin/glucose-induced expression of hLMR1. Finally, we performed genotyping and gene expression analyses using a published human NAFLD RNA-seq dataset and found that individuals homozygous for rs9653945-G have a higher expression of hLMR1 and risk of NAFLD. Taken together, our data support a model that rs9653945-G predisposes individuals to insulin/glucose-induced hLMR1, contributing to the development of hyperlipidemia and NAFLD.

Prediction of antipsychotics efficacy based on a polygenic risk score: a real-world cohort study.

Background: Response to antipsychotics is subject to a wide interindividual variability, due to genetic and non-genetic factors. Several single nucleotide polymorphisms (SNPs) have been associated with response to antipsychotics in genome-wide association studies (GWAS). Polygenic risk scores (PRS) are a powerful tool to aggregate into a single measure the small effects of multiple risk alleles. Materials and methods: We studied the association between a PRS composed of SNPs associated with response to antipsychotics in GWAS studies (PRSresponse) in a real-world sample of patients (N = 460) with different diagnoses (schizophrenia spectrum, bipolar, depressive, neurocognitive, substance use disorders and miscellaneous). Two other PRSs composed of SNPs previously associated with risk of schizophrenia (PRSschizophrenia1 and PRSschizophrenia2) were also tested for their association with response to treatment. Results: PRSresponse was significantly associated with response to antipsychotics considering the whole cohort (OR = 1.14, CI = 1.03-1.26, p = 0.010), the subgroup of patients with schizophrenia, schizoaffective disorder or bipolar disorder (OR = 1.18, CI = 1.02-1.37, p = 0.022, N = 235), with schizophrenia or schizoaffective disorder (OR = 1.24, CI = 1.04-1.47, p = 0.01, N = 176) and with schizophrenia (OR = 1.27, CI = 1.04-1.55, p = 0.01, N = 149). Sensitivity and specificity were sub-optimal (schizophrenia 62%, 61%; schizophrenia spectrum 56%, 55%; schizophrenia spectrum plus bipolar disorder 60%, 56%; all patients 63%, 58%, respectively). PRSschizophrenia1 and PRSschizophrenia2 were not significantly associated with response to treatment. Conclusion: PRSresponse defined from GWAS studies is significantly associated with response to antipsychotics in a real-world cohort; however, the results of the sensitivity-specificity analysis preclude its use as a predictive tool in clinical practice.

A Flexible Mouse Model of Autoimmune Thyroiditis Induced by Immunization with an Adenovirus Containing Full-Length Thyroglobulin cDNA.

The main challenge in the "post-GWAS" era is to determine the functional meaning of genetic variants and their contribution to disease pathogenesis. Development of suitable mouse models is critical because disease susceptibility is triggered by complex interactions between genetic, epigenetic, and environmental factors that cannot be modeled by in vitro models. Thyroglobulin (TG) is a key gene for autoimmune thyroid disease (AITD) and several single nucleotide polymorphisms (SNPs) in the TG coding region have been associated with AITD. The classical model of experimental autoimmune thyroiditis (EAT), based on immunization of genetically susceptible mouse strains with purified TG protein in adjuvant, does not allow testing the impact of TG sequence variants on the development of autoimmune thyroiditis. Here we describe a protocol for the induction of EAT by immunization of mice susceptible to thyroiditis with an adenovirus vector carrying full-length human TG cDNA (Ad-TG EAT). We also provide support protocols for evaluation of autoimmune thyroiditis including serological assessment of TG antibodies, in vitro splenocyte proliferation assay and cytokines secretion, thyroid histology, and evaluation of thyroid lymphocytic infiltration by immunostaining. This protocol for EAT induction allows manipulation of the TG cDNA to introduce variants associated with AITD, enabling the testing of the functional effects of susceptible variants and their haplotypes on the immunogenicity of TG. Furthermore, the Ad-TG EAT mouse model is a valuable model for studying the interactions of the TG variants with non-genetic factors influencing AITD development (e.g., cytokines, iodine exposure) or with variants of other susceptible genes (e.g., HLA-DRβ1). © 2024 Wiley Periodicals LLC. Basic Protocol: Development of a mouse model of autoimmune thyroiditis induced by immunization with adenovirus containing full-length thyroglobulin cDNA Support Protocol 1: Splenocytes isolation Support Protocol 2: T cell stimulation and carboxyfluorescein diacetate succinimidyl ester (CFSE) based cell proliferation assay Support Protocol 3: Cytokine assays: measuring levels of interferon gamma (IFNγ) and interleukins IL-2, IL-4, and IL-10 in splenocyte supernatants Support Protocol 4: Evaluating thyroid histology and infiltration with immune cells: hematoxylin-eosin staining of mice thyroid glands Support Protocol 5: Immunohistochemistry of thyroid tissues: Immunofluorescence protocol of paraffin-embedded thyroid sections Support Protocol 6: Anti-thyroglobulin antibody measurement in mice sera by enzyme-linked immunosorbent assay (ELISA).

Whole genome-wide sequence analysis of long-lived families (Long-Life Family Study) identifies MTUS2 gene associated with late-onset Alzheimer's disease.

Late-onset Alzheimer's disease (LOAD) has a strong genetic component. Participants in Long-Life Family Study (LLFS) exhibit delayed onset of dementia, offering a unique opportunity to investigate LOAD genetics. We conducted a whole genome sequence analysis of 3475 LLFS members. Genetic associations were examined in six independent studies (N=14,260) with a wide range of LOAD risk. Association analysis in a sub-sample of the LLFS cohort (N=1739) evaluated the association of LOAD variants with beta amyloid (Aβ) levels. We identified several single nucleotide polymorphisms (SNPs) in tight linkage disequilibrium within the MTUS2 gene associated with LOAD (rs73154407, p=7.6×10-9 ). Association of MTUS2 variants with LOAD was observed in the five independent studies and was significantly stronger within high levels of Aβ42/40 ratio compared to lower amyloid. MTUS2 encodes a microtubule associated protein implicated in the development and function of the nervous system, making it a plausible candidate to investigate LOAD biology. Long-Life Family Study (LLFS) families may harbor late onset Alzheimer's dementia (LOAD) variants. LLFS whole genome sequence analysis identified MTUS2 gene variants associated with LOAD. The observed LLFS variants generalized to cohorts with wide range of LOAD risk. The association of MTUS2 with LOAD was stronger within high levels of beta amyloid. Our results provide evidence for MTUS2 gene as a novel LOAD candidate locus.

Antioxidant Genes Variants and Their Association with Sperm DNA Fragmentation.

Semen possesses a variety of antioxidant defense mechanisms which protect sperm DNA from the damaging effects of oxidative stress. Correlation between antioxidant genes variants and sperm DNA fragmentation (SDF) level is not sufficiently studied. Therefore, we investigated the association between several single nucleotide polymorphisms (SNPs): CYP1A1 (rs1048943A > G), CYP4F2 (rs2108622G > A), NRF2 (rs6721961C > A), PON1 (rs662A > G), NOS3 (rs1799983G > T), GSTM1 (null), CAT (rs1001179C > T), SOD2 (rs4880A > G), GSTP1 (rs1695A > G), PON2 (rs7493G > C), EPHX2 (rs1042064T > C), and AHR (rs2066853G > A) and elevated SDF. The study employed a case-control design where, the allele and genotype frequencies of the selected SNPs were compared between 75 semen samples with abnormal SDF (the cases) and 75 samples with normal SDF (the controls). DNA was extracted from the semen samples and allele-specific PCR (AS-PCR) was used for genotyping the SNPs. Relevant data were collected from the patients' records et al.-Basma Fertility Center. Suitable statistical tests and multifactorial dimensionality reduction (MDR) test were used to anticipate SNP-SNP interactions. Comparison of semen parameters revealed significant differences between cases and controls in terms of liquefaction time, sperm total motility, and normal form. Genotype frequencies of NOS3 G > T (GT), SOD2 A > G (AA and AG), EPHX2 T > C (CC and CT), and AHR G > A (GA and GG) were significantly different between cases and controls. Allele frequencies of SOD2 (G-allele), and EPHX2 (T-allele) also significantly varied between cases and controls. MDR analysis revealed that the NOS3, SOD2, and EPHX2 SNPs combination has the highest impact on SDF. The study findings suggest that genetic variations in genes involved antioxidant defenses contribute to abnormal SDF.

Polymorphisms of CCR5, IL-6, IFN-γ and IL-10 genes in Cuban HIV/AIDS patients

IntroductionGenetic studies have shown associations of several single nucleotide polymorphisms (SNP) with different rates of progression and variation in susceptibility to HIV infection. This study aimed to estimate the frequency of ccr5Δ32, IL-6-174G/C, IFN-γ+874T/A and IL-10-1082A/G polymorphisms in Cuban HIV-infected patients and a group of sero-discordant couples to assess their influence on risk and disease progression. MethodsA cross-sectional study was carried out on 120 subjects registered at the Institute of Tropical Medicine «Pedro Kour» (IPK) and the Ameijeiras Hospital from June 2018 until December 2019. The amplification of fragments of the ccr5, IL-6, IFN-γ and IL-10 genes was performed by polymerase chain reaction followed by identification of polymorphisms using the restriction fragment length polymorphism analysis for IL-6 with the restriction enzymes Nla III. Amplification Refractory Mutation System was used for IFN-γ and IL-10 genes. ResultsThe allelic and genotypic distributions of the genes ccr5, IL-6, IFN-γ and IL-10 did not differ significantly between the two groups. Cell counts and plasma viral load values did not differ significantly between genotypes of the ccr5, IL-6, IFN-γ and IL-10 genes. Only the IL-6 GC genotype was associated with higher viral load values. The combination of alleles of the four considered SNPs showed a highly significant increase in the risk of HIV infection for one of them, but with a very low frequency (<1%). ConclusionThis study contributes to evaluating the frequency of these polymorphisms and their influence on biomarkers of the progression of HIV infection in the Cuban HIV-population.

Association between several immune response-related genes and the effectiveness of biological treatments in patients with moderate-to-severe psoriasis.

Biological therapies are safer and more effective against psoriasis than conventional treatments. Even so, 30-50% of psoriatic patients show an inadequate response, which is associated with individual genetic heterogeneity. Pharmacogenetic studies have identified several single nucleotide polymorphisms (SNPs) as possible predictive and prognostic biomarkers for psoriasis treatment response. The objective of this study was to determine the link between several SNPs and the clinical response to biological therapies in patients with moderate-severe psoriasis. A set of 21 SNPs related to psoriasis and/or other immunological diseases were selected and analysed from salivary samples of patients (n = 88). Treatment effectiveness and patient improvement was assessed clinically through Relative Psoriasis Area and Severity Index (PASI), also called 'PASI response', as well as absolute PASI. Associations between SNPs and PASI factors were assessed at 3 and 12 months for every treatment category of IL-17, IL-23, IL-12&23 and TNF-α inhibitors. Multivariate correlation analysis and Fisher's exact test were used to analyse the relationship between SNPs and therapy outcomes. Several SNPs located in the TLR2, TLR5, TIRAP, HLA-C, IL12B, SLC12A8, TNFAIP3 and PGLYRP4 genes demonstrated association with increased short and long-term therapy-effectiveness rates. Most patients achieved values of PASI response ≥75 or absolute PASI<1, regardless of the biological treatment administered. In conclusion, we demonstrate a relationship between different SNPs and both short- and especially long-term effectiveness of biological treatment in terms of PASI. These polymorphisms may be used as predictive markers of treatment response in patients with moderate-to-severe psoriasis, providing personalized treatment.

A high-throughput multilocus-amplicon sequencing panel to monitor insecticide resistance in fall armyworm (FAW) Spodoptera frugiperda (Lepidoptera: Noctuidae).

Fall armyworm (FAW), Spodoptera frugiperda, is a highly polyphagous crop pest that has spread over the world rapidly and invaded Australia in 2020. Globally, FAW has been reported to be resistant to several insecticides permitted in Australia. Timely resistance diagnosis is critical for integrated pest management-based control of FAW in Australia. We developed a multi-amplicon panel by next-generation sequencing (multiamplicon-seq) to identify known insecticide resistance mutations in Australian FAW with high throughput and low cost. The panel included nine known mutations causing insecticide resistance in FAW and four gene mutations causing insecticide resistance in several insect species, not yet reported in FAW. We sequenced 36 plates (96-well) in one MiSeq flow cell with easy sequencing library preparation. We found that Australian FAW carried a very high proportion of the F290V mutation in the acetylcholinesterase (AChE) gene that causes resistance to organophosphate and carbamate insecticides. Furthermore, FAW has a GABA-activated chloride channel mutation, A301Q in the RDL gene. The sequencing-based platform provided evidence of a duplication in the AChE gene. Here several single nucleotide polymorphisms (SNPs) within the 476-bp amplicon of the AChE gene demonstrated 100% heterozygosity across samples and some individuals carried two haplotypes with the F290V mutation. Molecular surveillance by multiamplicon-seq will increase capacity for early detection and future resistance monitoring in highly dispersed Australian FAW. It can provide timely resistance information and has the potential to play an important role in the resistance management of FAW. © 2023 Society of Chemical Industry.

Replication of HLA‐DRB1*04:04 allele subtype protective effect against Alzheimer’s Disease in cognitively healthy centenarians using long‐read sequencing

AbstractBackgroundGenomic‐Wide Association Studies (GWAS) of Alzheimer’s Disease (AD) have identified several single‐nucleotide‐polymorphisms (SNPs) in the Human Leukocyte Antigens (HLA) gene cluster. Fine mapping of the genetic signals, by means of model‐based HLA allele imputation from SNP‐array‐based genotyping data, was linked to a protective effect of three HLA‐DRB1*04 allele subtypes. These alleles would favor the binding of an aggregation‐prone Tau peptide by T‐cells, promoting early clearance of toxic Tau aggregate seeds, and reducing neurodegeneration. Here, we aim to replicate this association by means of HLA genotyping with long‐read sequencing.MethodWe used an HLA genotyping assay, [NGS‐go MX11‐3, GenDx], coupled with [PacBio] long‐read sequencing. This allows for genotyping of HLA genes at their full resolution of polymorphism. So far, we have genotyped HLA genes in 129 AD cases from the Amsterdam Dementia Cohort (ADC, mean age = 67.4 with SD = 7.56, N females = 85, N males = 44) and 138 cognitively healthy centenarians from the 100‐plus Study (mean age = 101.1 with SD = 3.33, N females = 92, N males = 46), thereby maximizing the analysis power. We then focused on the comparison of previously identified protective HLA‐DRB1*04 allele subtypes (DRB1*04:01, DRB1*04:04 and DRB1*04:07) between AD cases and centenarians.ResultFor all three HLA‐DRB1*04 allele subtypes, we observed no additional genetic variation concerning synonymous DNA substitutions in coding regions and changes in non‐coding regions. DRB1*04:04:01:02 had a frequency of 0.116 in centenarians, as compared to a 0.054 in AD cases (one‐sided Fisher’s exact test, p = 0.04). The frequency in centenarians was higher than the previously reported joint frequency of carriers in AD and controls, frequency = 0.073. DRB1*04:01:01:01 had similar frequencies in centenarians (0.174) and AD cases (0.178) (p&gt;0.05). Similarly, DRB1*04:07:01:01 had a frequency of 0.014 in centenarians and 0.015 in AD (p&gt;0.05).ConclusionWe confirmed a protective HLA‐DRB1*04:04 allele subtype, previously described by HLA imputation, with the use of long read sequencing. Genotyped at full resolution as DRB1*04:04:01:02, we observed an enrichment in cognitively healthy centenarians compared to the original AD vs controls setting. The HLA system could play a role in the enhanced immunity of centenarians, and how they are able to escape neurodegenerative diseases.

Long or short? Telomere length and pancreatic cancer and its precursor lesions, a narrative review

Abstract Pancreatic ductal adenocarcinoma (PDAC) is the most common and lethal form of pancreatic cancer, with a survival approaching only 11% at 5 years after diagnosis. In the last 15 years, telomere length (TL) measured in leukocyte (LTL) has been studied in relation to PDAC risk. The majority of the studies reported an association between short LTL and increased PDAC risk, but the results are heterogeneous. Genome-wide association studies have identified several single-nucleotide polymorphisms (SNPs) in the telomerase reverse transcriptase (TERT) gene as susceptibility loci for PDAC. Polygenic risk scores computed using SNPs associated with LTL have been tested in relation to PDAC susceptibility with various methods and giving contrasting results. The aim of this review is to analyze all publications carried out specifically on LTL, considering LTL measured with qPCR and with genetic proxies, and PDAC risk. Additionally, we will give an overview of the most relevant associations between SNPs in telomere-associated genes and PDAC, to answer the question shorter or longer? Which one of the two is associated with PDAC risk?

Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss.

Obesity is a multifactorial condition with a relevant genetic correlation. Recent advances in genomic research have identified several single nucleotide polymorphisms (SNPs) in genes such as FTO, MCM6, HLA, and MC4R, associated with obesity. This study aimed to evaluate the association of 102 SNPs with BMI and weight loss treatment response in a multi-ethnic population. The study analyzed 9,372 patients for the correlation between SNPs and BMI (dataset A). The correlation between SNP and weight loss was accessed in 474 patients undergoing different treatments (dataset B). Patients in dataset B were further divided into 3 categories based on the type of intervention: dietary therapy, intragastric balloon procedures, or surgeries. SNP association analysis and multiple models of inheritance were performed. In dataset A, ten SNPs, including rs9939609 (FTO), rs4988235 (MCM6), and rs2395182 (HLA), were significantly associated with increased BMI. Additionally, other four SNPs, rs7903146 (TCF7L2), (rs6511720), rs5400 (SLC2A2), and rs7498665 (SH2B1), showed sex-specific correlation. For dataset B, SNPs rs2016520 (PPAR-Delta) and rs2419621 (ACSL5) demonstrated significant correlation with weight loss for all treatment types. In patients who adhered to dietary therapy, SNPs rs6544713 (ABCG8) and rs762551 (CYP1A2) were strongly correlated with weight loss. Patients undergoing surgical or endoscopic procedures exhibited differential correlations with several SNPs, including rs1801725 (CASR) and rs12970134 (MC4R), and weight loss. This study provides valuable insights into the genetic factors influencing BMI and weight loss response to different treatments. The findings highlight the potential for personalized weight management approaches based on individual genetic profiles.

Phenotypic Characterization of Recombinant Marek's Disease Virus in Live Birds Validates Polymorphisms Associated with Virulence.

Marek's disease (MD) is a highly infectious lymphoproliferative disease in chickens with a significant economic impact. Mardivirus gallidalpha 2, also known as Marek's disease virus (MDV), is the causative pathogen and has been categorized based on its virulence rank into four pathotypes: mild (m), virulent (v), very virulent (vv), and very virulent plus (vv+). A prior comparative genomics study suggested that several single-nucleotide polymorphisms (SNPs) and genes in the MDV genome are associated with virulence, including nonsynonymous (ns) SNPs in eight open reading frames (ORF): UL22, UL36, UL37, UL41, UL43, R-LORF8, R-LORF7, and ICP4. To validate the contribution of these nsSNPs to virulence, the vv+MDV strain 686 genome was modified by replacing nucleotides with those observed in the vMDV strains. Pathogenicity studies indicated that these substitutions reduced the MD incidence and increased the survival of challenged birds. Furthermore, using the best-fit pathotyping method to rank the virulence, the modified vv+MDV 686 viruses resulted in a pathotype similar to the vvMDV Md5 strain. Thus, these results support our hypothesis that SNPs in one or more of these ORFs are associated with virulence but, as a group, are not sufficient to result in a vMDV pathotype, suggesting that there are additional variants in the MDV genome associated with virulence, which is not surprising given this complex phenotype and our previous finding of additional variants and SNPs associated with virulence.

Genome-wide association study of powdery mildew resistance in cultivated soybean from Northeast China.

Powdery mildew (PMD), caused by the pathogen Microsphaera diffusa, leads to substantial yield decreases in susceptible soybean under favorable environmental conditions. Effective prevention of soybean PMD damage can be achieved by identifying resistance genes and developing resistant cultivars. In this study, we genotyped 331 soybean germplasm accessions, primarily from Northeast China, using the SoySNP50K BeadChip, and evaluated their resistance to PMD in a greenhouse setting. To identify marker-trait associations while effectively controlling for population structure, we conducted genome-wide association studies utilizing factored spectrally transformed linear mixed models, mixed linear models, efficient mixed-model association eXpedited, and compressed mixed linear models. The results revealed seven single nucleotide polymorphism (SNP) loci strongly associated with PMD resistance in soybean. Among these, one SNP was localized on chromosome (Chr) 14, and six SNPs with low linkage disequilibrium were localized near or in the region of previously mapped genes on Chr 16. In the reference genome of Williams82, we discovered 96 genes within the candidate region, including 17 resistance (R)-like genes, which were identified as potential candidate genes for PMD resistance. In addition, we performed quantitative real-time reverse transcription polymerase chain reaction analysis to evaluate the gene expression levels in highly resistant and susceptible genotypes, focusing on leaf tissues collected at different times after M. diffusa inoculation. Among the examined genes, three R-like genes, including Glyma.16G210800, Glyma.16G212300, and Glyma.16G213900, were identified as strong candidates associated with PMD resistance. This discovery can significantly enhance our understanding of soybean resistance to PMD. Furthermore, the significant SNPs strongly associated with resistance can serve as valuable markers for genetic improvement in breeding M. diffusa-resistant soybean cultivars.

SAT091 Genetic Investigation Of The Susceptibility To Develop Type 1 Diabetes And Diabetic Nephropathy

Abstract Disclosure: I. Brema: None. A. Aljuryyan: None. B. Bradley: None. A.E. Osman: None. Diabetic Nephropathy (DN) is one of the leading causes of end-stage renal disease (ESRD) worldwide and is a major cause of morbidity and mortality in subjects with type 1 diabetes (T1DM). Several single nucleotide polymorphisms (SNP) have been found in various gene variants such as the ACE, NOS 3, and FRMD 3 genes that play a major role in genetic susceptibility to DN, however, there is lack of wide replication of these studies, particularly in non-Caucasian ethnic groups. Therefore, the aim of this study was to identify SNPs that increase the susceptibility to develop T1DM as well as microalbuminuria (the hallmark of DN) in a Saudi cohort of subjects with T1DM. We conducted a case-control study in 179 subjects with T1DM and 180 healthy normal controls comparing genotype frequency of 11 SNPs that have been shown to increase the susceptibility to develop DN in subjects with T1DM, namely, rs1799983, rs2070744 (NOS3 gene); rs560807, rs 1059982 (CAT gene), rs1888747, rs10868025, rs361525, rs1800629 (FRMD3 gene), rs182052, rs 17300539 (ADIPOQ gene) and rs1799752(ACE gene). We report that the A/G rs361525 (FRMD3) genotype has significantly higher frequency in controls compared to subjects with T1DM (9 % vs 0), p value 0.01) and it seems to be protective against the risk of T1DM development. Moreover, the A/A rs17300539 (ADIPOQ gene) genotype has significant higher frequency in controls compared to subjects with T1DM (7 % vs 0.5), p value 0.02) and seems to be protective against type 1 development as well. We did not detect any further associations between the remaining 9 genotype SNPs and the risk of T1DM. On the other hand, we report no association between all the 11 studied SNPs referenced above and the risk of developing diabetic nephropathy. We have studied several DN susceptibility SNPs that have been shown to increase the risk of albuminuria and ESRD development in Caucasians with T1DM , however, we were unable to replicate previous findings in this Saudi cohort of patients with T1DM. Future larger multicenter studies are needed in larger numbers of patients to replicate the findings of the studies that were done in Caucasians and other ethnic groups, ideally Genome-wide association studies. Presentation: Saturday, June 17, 2023

Flavonoid Biosynthesis Pathway May Indirectly Affect Outcrossing Rate of Cytoplasmic Male-Sterile Lines of Soybean.

(1) Background: Cytoplasmic male sterility (CMS) is important for exploiting heterosis. Soybean (Glycine max L.) has a low outcrossing rate that is detrimental for breeding sterile lines and producing hybrid seeds. Therefore, the molecular mechanism controlling the outcrossing rate should be elucidated to increase the outcrossing rate of soybean CMS lines; (2) Methods: The male-sterile soybean lines JLCMS313A (with a high outcrossing rate; HL) and JLCMS226A (with a low outcrossing rate; LL) were used for a combined analysis of the transcriptome (RNA-seq) and the targeted phenol metabolome; (3) Results: The comparison between HL and LL detected 5946 differentially expressed genes (DEGs) and 81 phenolic metabolites. The analysis of the DEGs and differentially abundant phenolic metabolites identified only one common KEGG pathway related to flavonoid biosynthesis. The qRT-PCR expression for eight DEGs was almost consistent with the transcriptome data. The comparison of the cloned coding sequence (CDS) regions of the SUS, FLS, UGT, and F3H genes between HL and LL revealed seven single nucleotide polymorphisms (SNPs) only in the F3H CDS. Moreover, five significant differentially abundant phenolic metabolites between HL and LL were associated with flavonoid metabolic pathways. Finally, on the basis of the SNPs in the F3H CDS, one derived cleaved amplified polymorphic sequence (dCAPS) marker was developed to distinguish between HL and LL soybean lines; (4) Conclusions: The flavonoid biosynthesis pathway may indirectly affect the outcrossing rate of CMS sterile lines in soybean.

Genome-Wide Association Study of Alopecia Areata in Taiwan: The Conflict Between Individuals and Hair Follicles.

Alopecia areata (AA) is one of the most prevalent autoimmune diseases affecting humans. Given that hair follicles are immune-privileged, autoimmunity can result in disfiguring hair loss. However, the genetic basis for AA in the Taiwanese population remains unknown. A genome-wide association study was conducted using a cohort of 408 AA cases and 8167 controls. To link variants to gene relationships, we used 882 SNPs (P<1E-05) within 74 genes that were associated with AA group to build the biological networks by IPA software. HLA diplotypes and haplotypes were analyzed using Attribute Bagging (HIBAG)-R package and chi-square analysis. Seven single nucleotide polymorphisms (SNPs) including LINC02006 (rs531166736, rs187306735), APC (rs112800832_C_CAT), SRP19 (rs139948960, rs144784670), EGFLAM (rs16903975) and LDLRAD3 (rs79874564) were closely associated with the AA phenotype (P<5E-08). Examination of biological networks revealed that these genomic areas are associated with antigen presentation signaling, B cell and T cell development, Th1 and Th2 activation pathways, Notch signaling, crosstalk signaling between dendritic cells and natural killer cells, and phagosome maturation. Based on human leukocyte antigen (HLA) genotype analysis, four HLA genotypes (HLA-B*15:01-*40:01, HLA-DQA1*01:02-*03:03, HLA-DQA1*01:02, and HLA-DQB1*02:01) were found to be associated with AA (adjusted p-value<0.05). HLA-DQA1*01:02 is the most significantly related gene in the Taiwanese population (adjusted p-value = 2.09E-05). This study successfully identified susceptibility loci associated with AA in the Taiwanese population. These findings not only shed light on the origins of AA within the Taiwanese context but also contribute to a comprehensive understanding of the genetic factors influencing AA susceptibility.