Allele Frequencies Research Articles

Diagnosing Monogenic Stroke at Younger Age.

An increasing number of monogenic conditions underlying stroke are being identified. We explored the possibilities of increasing the diagnostic yield of monogenic stroke in a population under 56 years of age. Fifty probands ≤55 years at their first stroke episode were characterized clinically and investigated by whole genome sequencing. Probands had one or more of: (1) one or more first to second degree relatives with stroke under 60 years or same stroke-causing condition/disease; (2) no hypertension, hypercholesterolemia, diabetes, heart disease, or smoking; or (3) either multiple stroke episodes or multiple arterial dissections. Variants with minor allele frequency under 0.01, identified by using our stroke gene panels, were assessed. The stroke subtypes, including large artery atherosclerotic, large artery nonatherosclerotic (tortuosity, dolichoectasia, aneurysm, nonatherosclerotic dissection, or occlusion), cerebral small vessel disease, cardioembolic (arrhythmia, heart defect, or cardiomyopathy), coagulation dysfunctions (venous thrombosis, arterial thrombosis, or bleeding tendency), intracerebral hemorrhage, vascular malformations (cavernoma or arteriovenous malformations), metabolic disorders, or cryptogenic embolic, were used for genotype-phenotype correlation. In a final step, we combined genetic and clinical information to determine if the genetic variant likely was the cause of stroke in the patients. Whole genome sequencing of younger patients with stroke identified 17 clinically matching genetic variants in 15 of 50 (30%) patients, while a stronger clinical correlation with stroke was established in only 6 (12%) of them. Stroke-related genetic variants were identified in 4 of 5 (80%) patients with cardioembolic stroke subtype, 3 of 4 (75%) with intracerebral hemorrhage, 7 of 18 (39%) with cryptogenic embolic stroke, 1 of 6 (17%) with small vessel disease, and 3 of 15 (20%) of patients with nonatherosclerotic large artery stroke, including 1 of 11 (9%) with cervical dissection stroke. Careful clinical interpretation of whole genome data using stroke gene panels can detect monogenic causes of early stroke, allowing individualized follow-up and opening new possibilities for potential treatment.

Genetic variants in BDNF (rs6265 and rs11030119) and stroke susceptibility: a case-control analysis in South India

Background Stroke occurs when the blood supply to part of the cerebral cortex is blocked, depriving it of oxygen and glucose, leading to cell death. It is a multifactorial disorder influenced by genetic, vascular, and environmental factors. Aim This study investigated the association between two polymorphisms of the brain-derived neurotrophic factor (BDNF) gene, rs6265 and rs11030119, and stroke risk in a South Indian population. Subjects and Methods The study included 163 stroke cases and 160 healthy controls. Genomic DNA was extracted, and genotyping of rs6265 and rs11030119 polymorphisms was done using ARMS-PCR. Allelic and genotype frequencies were calculated, and odds ratios (OR) with 95% confidence intervals (CI) were determined using SPSS version 21.0. Results The rs6265 polymorphism was significantly associated with stroke risk, with the GG genotype more frequent in controls (OR 1.79, 95% CI 1.05–1.76, p = 0.01). The rs11030119 polymorphism showed a positive association, with the AA genotype more prevalent in cases (OR 2.70, 95% CI 1.34–5.44, p = 0.003). Conclusion This study suggests an association between BDNF polymorphisms (rs6265, rs11030119) and stroke risk in a South Indian population. Further research in larger populations is necessary to confirm these findings and explore the mechanisms involved.

Contrasting Patterns of Population Genomic Structure Between Broadcast‐Spawning and Brooding Corals in Southeast Asia

ABSTRACTAimAs climate change increasingly threatens the world's coral reefs, enhancing their resilience by improving population connectivity for key reef species is crucial for ensuring their persistence. Here, we evaluate the population genomic structure of two common coral species, Pocillopora acuta and Porites sp., chosen due to their divergent life histories. Thousands of single‐nucleotide polymorphisms (SNPs) were sequenced and analysed to infer regional connectivity patterns in Southeast Asia, a region that harbours a tremendous diversity of marine life.LocationCoasts of the Malay Peninsula and northern Borneo, covering ~1 million km2.MethodNextRAD genotyping‐by‐sequencing of 185 Porites sp. and 221 Pocillopora acuta colonies. Libraries were prepared and sequenced on Illumina NovaSeq 6000. Genotyping involved initial quality controls, allele frequency filtering and checks for contamination. Genetic structure was assessed with Bayesian clustering, and relationships between genetic variation and environmental factors were studied through redundancy analysis. Contemporary gene flow was estimated using BayesAss.ResultsWe observed panmixia among the broadcasting Porites sp. populations, while for the brooding Pocillopora acuta, the Malay Peninsula acts a strong barrier to dispersal between the Malacca Strait and the southern South China Sea. Moreover, its genomic structure seems to follow current marine ecoregion delineation. By analysing contemporary migrant movement, we can prioritise reef localities for conservation. In particular, localities at the Andaman Coral Coast are contemporarily isolated from the other localities, and Tioman is identified as a major larval source for both species.Main ConclusionOur analyses highlight contrasting population differentiation patterns between the two species that can be explained by the disparity in their reproductive strategies. These findings are important for biodiversity managers in Southeast Asia; incorporation of regional connectivity considerations into conservation planning can help safeguard ecosystem resilience and persistence.

Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases

Cardiovascular diseases (CVDs) are complex, multifactorial conditions that require personalized assessment and treatment. Advancements in multi-omics technologies, namely RNA sequencing and whole-genome sequencing, have provided translational researchers with a comprehensive view of the human genome. The efficient synthesis and analysis of this data through integrated approach that characterizes genetic variants alongside expression patterns linked to emerging phenotypes, can reveal novel biomarkers and enable the segmentation of patient populations based on personalized risk factors. In this study, we present a cutting-edge methodology rooted in the integration of traditional bioinformatics, classical statistics, and multimodal machine learning techniques. Our approach has the potential to uncover the intricate mechanisms underlying CVD, enabling patient-specific risk and response profiling. We sourced transcriptomic expression data and single nucleotide polymorphisms (SNPs) from both CVD patients and healthy controls. By integrating these multi-omics datasets with clinical demographic information, we generated patient-specific profiles. Utilizing a robust feature selection approach, we identified a signature of 27 transcriptomic features and SNPs that are effective predictors of CVD. Differential expression analysis, combined with minimum redundancy maximum relevance feature selection, highlighted biomarkers that explain the disease phenotype. This approach prioritizes both biological relevance and efficiency in machine learning. We employed Combination Annotation Dependent Depletion scores and allele frequencies to identify variants with pathogenic characteristics in CVD patients. Classification models trained on this signature demonstrated high-accuracy predictions for CVD. The best performing of these models was an XGBoost classifier optimized via Bayesian hyperparameter tuning, which was able to correctly classify all patients in our test dataset. Using SHapley Additive exPlanations, we created risk assessments for patients, offering further contextualization of these predictions in a clinical setting. Across the cohort, RPL36AP37 and HBA1 were scored as the most important biomarkers for predicting CVDs. A comprehensive literature review revealed that a substantial portion of the diagnostic biomarkers identified have previously been associated with CVD. The framework we propose in this study is unbiased and generalizable to other diseases and disorders.

An abdominal obesity missense variant in the adipocyte thermogenesis gene TBX15 is implicated in adaptation to cold in Finns.

Mechanisms of abdominal obesity GWAS variants have remained largely unknown. To elucidate these mechanisms, we leveraged subcutaneous adipose tissue (SAT) single nucleus RNA-sequencing and genomics data. After discovering that heritability of abdominal obesity is enriched in adipocytes, we focused on a SAT unique adipocyte marker gene, the transcription factor TBX15, and its abdominal obesity-associated deleterious missense variant, rs10494217. The allele frequency of rs10494217 revealed a north-to-south decreasing gradient, with consistent significant FST values observed for 25 different populations when compared to Finns, a population with a history of genetic isolation. Given the role of Tbx15 in mouse thermogenesis, the frequency may have increased as an adaptation to cold in Finns. Our selection analysis provided significant evidence of selection for the abdominal obesity risk allele T of rs10494217 in Finns, with a north-to-south decreasing trend in other populations, and demonstrated that latitude significantly predicts the allele frequency. We also discovered that the risk allele status significantly affects SAT adipocyte expression of multiple adipocyte marker genes in trans in two cohorts. Two of these trans genes have been connected to thermogenesis, supporting the thermogenic effect of the TBX15 missense variant as a possible cause of its selection. Adipose expression of one trans gene, a lncRNA, AC002066.1, was strongly associated withadipocyte size, implicating it in metabolically unhealthy adipocyte hypertrophy. In summary, the abdominal obesity variant rs10494217 was selected in Finns, and individuals with the risk allele have trans effects on adipocyte expression of genes relating to thermogenesis and adipocyte hypertrophy.

Allele frequencies and genotype distribution of three metformin transporter polymorphisms in Mexican population and their application in pharmacogenomics of type 2 diabetes

Allele frequencies and genotype distribution of three metformin transporter polymorphisms in Mexican population and their application in pharmacogenomics of type 2 diabetes

Population Genetic Dissection of HLA-DPB1 Amino Acid Polymorphism to Infer Selection

Although allele frequency data for most HLA loci provide strong evidence for balancing selection at the allele level, the DPB1 locus is a notable exception, with allele frequencies compatible with neutral evolution (genetic drift) or directional selection in most populations. This discrepancy is especially interesting as evidence for balancing selection has been seen at the nucleotide and amino acid (AA) sequence levels for DPB1. We describe methods used to examine the global distribution of DPB1 alleles and their constituent AA sequences. These methods allow investigation of the influence of natural selection in shaping DPβ diversity in a hierarchical fashion for DPB1 alleles, all polymorphic DPB1 exon 2-encoded AA positions, as well as all pairs and trios of these AA positions. In addition, we describe how asymmetric linkage disequilibrium for all DPB1 exon 2-encoded AA pairs can be used to complement other methods. Application of these methods provides strong evidence for the operation of balancing selection on AA positions 56, 85–87, 36, 55 and 84 (listed in decreasing order of the strength of selection), but no evidence for balancing selection on DPB1 alleles.

Genome-wide analysis of detoxification genes conferring diamide insecticide resistance in Spodoptera exigua identifies CYP9A40

For over a decade, diamide insecticides have been effective against lepidopteran pests like beet armyworm, Spodoptera exigua (Hübner, 1808). However, the evolution of resistance poses a challenge to their sustainable use. We identified an I4790M mutation in the S. exigua ryanodine receptor (RyR) gene, but its correlation with resistance varied across the field-collected Korean populations of S. exigua. RNA sequencing and differential gene expression analysis were performed to investigate other resistance mechanisms. Diamide-resistant and susceptible strains and F1 hybrids were compared by mapping RNA-seq reads to the S. exigua reference genome. CYP9A40 was identified as a critical gene in diamide resistance due to its high expression in the resistant strains. Synergist bioassays with piperonyl butoxide supported the role of P450s in diamide metabolic resistance in S. exigua. A strong positive correlation between CYP9A40 over-expression levels (up to 80-fold) and diamide LC50 values was obtained for field-collected populations uniformly showing a 100% frequency of the RyR I4790M target-site resistance allele. To validate the function of CYP9A40 in diamide detoxification, we recombinantly expressed the gene and tested its ability to bind and degrade chlorantraniliprole as a substrate. The results confirmed its catalytic role in diamide metabolism. CYP9A40 has been identified and validated to confer metabolic resistance in Korean S. exigua populations. It works alongside the RyR target-site I4790M mutation to enhance diamide resistance. These mechanisms offer insights for resistance monitoring and support insecticide resistance management programs to improve control strategies for S. exigua.

Association of rs35767 polymorphism in the IGF1 gene with athletic performance in power and endurance sports: A meta-analysis

BackgroundSport performance is a multifactorial phenotype dependent on the interaction of multiple genetic and non-genetic factors. More than 200 polymorphisms have been associated with athletic performance. The single nucleotide polymorphism (SNP) rs35767, located in the regulatory region of the IGF1 gene, influences its expression and has been associated with sports-related phenotypes. We aimed to perform a meta-analysis to evaluate the association between the rs35767 polymorphism of the IGF1 gene and athletic performance in power and endurance sports. MethodsLiterature has been retrieved from PubMed, Web of Science, Scopus, Embase, and Sport Discus databases until October 2023. This study was designed according to the PRISMA statement. Different models were tested, and heterogeneity was evaluated. ResultsThree studies were included in this meta-analysis. Statistically significant differences were highlighted for the frequency of the minor allele when comparing all athletes and controls (p < 0.001; OR = 1.74; 95 % CI = 1.26–2.40), endurance athletes and controls (p = 0.016; OR = 1.87; 95 % CI = 1.12–3.1) and power sport athletes and controls (p = 0.007; OR = 1.62; 95 % CI = 1.14–2.31). No statistically significant difference was found between the power and endurance groups. According to data analysis, the recessive model is the most suitable genetic model. ConclusionsThis metanalysis supports the role of the minor allele of the rs35767 polymorphism of the IGF1 gene as favoring an athlete's performance in endurance and power sports.

Contributions of Tissue Inhibitor of Metalloproteinase-1 Genotypes to the Risk of Metastasis in Gastric Cancer.

In gastric cancer (GCa) tissues, the mRNA and protein levels of tissue inhibitor of metalloproteinase-1 (TIMP-1) are significantly elevated compared to adjacent non-cancerous tissues. Moreover, the abnormal up-regulation of TIMP-1 has been associated with a poor prognosis. However, the role of TIMP-1 genotypes in susceptibility to GCa has seldom been investigated. This study aimed to evaluate the influence of TIMP-1 genotypes on GCa susceptibility and their potential interactions with clinico-pathological factors, including age, sex, body mass index, smoking, alcohol consumption, Helicobacter pylori (H. pylori) infection, and metastasis status. TIMP-1 rs4898, rs6609533, and rs2070584 genotypes were analyzed in 161 patients with GCa and 483 non-cancer control subjects from a Taiwanese population using PCR-RFLP methodology and direct sequencing. The genotypic (p for trend=0.1987) and allelic (p=0.0733) frequencies of TIMP-1 rs4898 did not differ significantly between GCa cases and controls. Under the dominant model, combined CT+CC genotypes were not associated with GCa risk [odds ratio (OR)=0.74, 95% confidence interval (95%CI)=0.51-1.07, p=0.1272]. Similarly, no significant association was found for TIMP-1 rs6609533 or rs2070584 polymorphisms. Importantly, patients with GCa carrying the TIMP-1 rs4898 TT genotype exhibited a significantly enhanced risk of GCa when they had smoking (p=0.0140) and alcohol drinking habits (p=0.0011). Furthermore, the CC genotype of TIMP-1 rs4898 was linked to a lower risk of distant metastasis. The TIMP-1 rs4898 CC genotype may serve as a prognostic biomarker and could inform lifestyle modifications aimed at GCa prevention. Validation of TIMP-1 genotypic profile in diverse populations is warranted.

Surveillance of Disease Progression in Metastatic Breast Cancer by Molecular Counting of Circulating Tumor DNA Using Plasma-SeqSensei Breast Cancer in Vitro Diagnostics Assay

Circulating tumor DNA (ctDNA) quantification surpasses cancer antigen 15 to 3 for metastatic breast cancer surveillance. Clinical translation, however, is limited because of uncertainties about the optimal method and clinically valid ctDNA decision thresholds. Plasma-SeqSensei Breast Cancer IVD kit (PSS) is a novel assay for ctDNA molecular counting, detecting ≥0.06% variant allele fractions in AKT1, ERBB2, ESR1, KRAS, PIK3CA, and TP53. PSS was validated against droplet digital PCR (ddPCR) in 201 samples from 16 subjects with PIK3CA/TP53-mutated cancers, longitudinally sampled for a median of 93 (range, 18 to 113) weeks, three to five weekly. PSS and ddPCR ctDNA levels correlate significantly (Spearman ρ, 0.923; 95% CI, 0.898-0.941) across 0% to 43% variant allele frequency (VAF) range. PSS predicts 12-week progression with high clinical accuracy (area under the curve, 0.848; 95% CI, 0.790-0.894). PSS validates a previously developed ddPCR classifier: <10 copies/mL (0.25% VAF); excludes >100 copies/mL (2.5% VAF); and confirms progression, with negative predictive value (95% CI) of 83% (76%-88%) and positive predictive value (95% CI) of 91% (81%-96%) (weighted κ, 0.856; 95% CI, 0.797-0.915). PSS thus confirms robust clinical thresholds (10 to 100 copies/mL, 0.25% to 2.5% VAF) for metastatic breast cancer surveillance, using absolute molecular counting.

Field-evolved resistance to neonicotinoids in the mosquito, Anopheles gambiae, is associated with mutations of nicotinic acetylcholine receptor subunits combined with cytochrome P450-mediated detoxification

New insecticides prequalified for malaria control interventions include modulators of nicotinic acetylcholine receptors that act selectively on different subunits leading to variable sensitivity among arthropods. This study aimed to investigate the molecular mechanisms underlying contrasting susceptibility to neonicotinoids observed in wild populations of two mosquito sibling species. Bioassays and a synergist test with piperonyl butoxide revealed that the sister taxa, Anopheles gambiae and An. coluzzii, from Yaounde, Cameroon, both have the potential to develop resistance to acetamiprid through cytochrome P450-mediated detoxification. However, contrary to An. coluzzii, An. gambiae populations are evolving cross-resistance to several active ingredients facilitated by mutations of nicotinic acetylcholine receptors (nAChRs). We sequenced coding regions on the β1 and α6 nAChR subunits where variants associated with resistance to neonicotinoids or to spinosyns have been found in agricultural pests and detected no mutation in An. coluzzii. By contrast, six nucleotide substitutions including an amino acid change in one of the loops that modulate ligand binding and affect sensitivity were present in the resistant species, An. gambiae. Allele frequency distributions were consistent with the spread of beneficial mutations that likely reduce the affinity of An. gambiae nAChRs for synthetic modulators. Our findings provide critical information for the application and resistance management of nAChR modulators in malaria prevention.

Predictive genomic and transcriptomic analysis on endoscopic ultrasound-guided fine needle aspiration materials from primary pancreatic adenocarcinoma: a prospective multicentre study

We apply endoscopic ultrasound-guided fine needle aspiration biopsy to cytopathologically diagnose and sample nucleic acids from primary tumours regardless of the disease stage. 397 patients with proven pancreatic adenocarcinoma were included and followed up in a multicentre prospective study. DNA and mRNA were extracted from materials of primary tumours obtained by endoscopic ultrasound-guided fine needle aspiration biopsy and analysed using targeted deep sequencing and RNAseq respectively. The variant allele frequency of the KRAS mutation was used to evaluate the tumour cellularity, ranging from 15 to 20% in all cells, regardless of the tumour stage. The molecular profile of metastatic primary tumours significantly differed from other types of tumours, more frequently having TP53 mutations (p=0.0002), less frequently having RNF43 mutations, and possessing more basal-like mRNA component (p=0.001). Molecular markers associated with improved overall survival were: mutations in homologous recombination deficiency genes in patients who received first-line platinum-based chemotherapy (p=0.025) and wild-type TP53 gene in patients with locally advanced tumours who received radio-chemotherapy (p=0.01). The GemPred transcriptomic profile was associated with a significantly better overall survival in patients with locally advanced or metastatic pancreatic cancer who received a gemcitabine-based first-line treatment (p=0.019). The combination of genomic and transcriptomic analyses of primary pancreatic tumours enables us to distinguish metastatic tumours from other tumour types. Our molecular strategy may assist in predicting overall survival outcomes for platinum or gemcitabine-based chemotherapies, as well as radio-chemotherapy. Institut National Du Cancer (BCB INCa_7294), CHU of Toulouse, Inserm and Ligue Nationale Contre le Cancer (CIT program).

Rapid Detection of SLCO1B1 Polymorphisms Using Duplex Fluorescence Melting Curve Analysis: Implications for Personalized Drug Dosing in Clinical Settings.

The polymorphism of the solute carrier organic anion transporter family member 1B1 (SLCO1B1) gene exerts a marked influence on drug transport, thus playing a pivotal role in personalized drug dosing. This study endeavours to establish a rapid, precise, and straightforward method for detecting SLCO1B1 genetic variants utilizing Duplex Fluorescence Melting Curve Analysis (DFMCA). Whole blood samples were collected from 54 individuals from Meizhou People's Hospital (2023.01-2023.03), with a mean age of 58.90 years (SD = 7.86), including 28 men and 26 women. DNA was extracted from these samples and subjected to PCR amplification targeting two allelic regions. Primers, fluorescent probes, and corresponding allelic target sequences were designed specifically for two common SLCO1B1 polymorphisms (rs2306283 and rs4149056). The functionality of the fluorescent probes in binding to their respective allelic targets was verified using melting curve analysis, enabling the identification of distinct melting temperatures for different genotypes. Subsequently, DFMCA was employed to differentiate genotypes based on the melting temperature shifts of the corresponding fluorescent probes. The sensitivity, accuracy, and consistency of the method were evaluated, with sequencing validation performed on a subset of samples. DFMCA facilitated the concurrent detection and accurate genotyping of both polymorphisms within 2hours, demonstrating concordance with sequencing results from randomly selected samples. Importantly, stable detection performance was achieved for human genomic DNA at concentrations ≥ 3.125 ng. In a cohort comprising Han Chinese individuals from southern China, the allele frequencies for rs2306283 (A: 28.7%, G: 71.3%) and rs4149056 (T: 88.89%, C: 11.11%) concurred well with previous studies in the Han Chinese population. The SNP typing system utilizing DFMCA technology presents advantages in terms of speed, ease of use, accuracy, and cost-effectiveness, making it a suitable tool.

Novel postzygotic RASA1 mutation in a patient with Parkes Weber syndrome: A case report and literature review.

Not only germline but also postzygotic mutations in the RASA1 or EPHB4 genes can lead to capillary malformation-arteriovenous malformation (CM-AVM) syndrome. As it is not always possible to clinically distinguish between constitutional variants and postzygotic mosaicism, a sufficiently high sequencing depth must be used in genetic diagnostics to detect both. Capillary malformation-arteriovenous malformation (CM-AVM) syndrome, with or without Parkes Weber syndrome, is a rare autosomal dominant disease caused by pathogenic RASA1 or EPHB4 variants. Up to 80% of CM-AVM cases have an affected parent. Gene panel sequencing was performed for a 4-year-old girl with multiple CMs, two capillary stains on the left leg, and associated overgrowth of the second toe. We also reviewed published cases with mosaic RASA1 and EPHB4 mutations. A mosaic RASA1 loss-of-function mutation was detected with a variant allele frequency (VAF) of 20% in the blood and oral epithelial cells of the index patient. The literature review illustrates that the severity of the clinical phenotype does not correlate with the VAF. We also identified a germline nonsense variant in the patient's TEK gene. However, inactivating TEK variants do not cause a vascular phenotype but can confer an increased risk for primary congenital glaucoma with variable expressivity. The case presented here illustrates that the choice of the sequencing depth of a diagnostic next-generation sequencing test for CM-AVM patients should always take mosaicism into account and that a good knowledge of the sequenced genes and associated disease mechanisms is necessary for adequate genetic counseling.

Rare Variants of DNA Ligase 1 Show Distinct Mechanisms of Deficiency

Human DNA ligase 1 (LIG1) performs the final step in DNA repair and recombination pathways by sealing DNA breaks, and it functions as the main replicative ligase. Hypomorphic LIG1 variants R771W and R641L cause immune deficiencies in LIG1 Syndrome patients. In vitro these LIG1 variants have decreased catalytic efficiency and increased abortive ligation and it is not known if either biochemical defect is sufficient on its own to cause immune deficiency. We investigated the enzymatic activity of several new candidate LIG1 Syndrome variants chosen based on their structural proximity to known clinical variants, low minor allele frequency (MAF), high level of conservation, and concurrence in patients with similar symptoms as LIG1 Syndrome patients. The R305Q substitution is in the DNA binding domain, R768W is in the OB-fold domain, and R641S is in the nucleotidyltransferase domain. Biochemical characterization confirmed deficiencies in ligase activity for all three variants, but also revealed marked differences in comparison to the known LIG1 Syndrome variants. Both the R305Q and R768W substitutions increase the KM for DNA and decrease the catalytic efficiency, however, neither exhibit elevated levels of abortive ligation. In contrast, the R641S variant exhibits a greater impairment of activity as well as a more pronounced level of abortive ligation compared to the known LIG1 Syndrome variant, R641L. This work expands the number of LIG1 alleles that are likely candidates for LIG1 Syndrome, and it raises the question of whether distinct enzymatic deficiencies in LIG1 cause unique clinical impacts in patients harboring these alleles.

Clinical features and search for genetic determinants of postprandial hypoglycemia.

To test whether postprandial hypoglycaemia is an extreme and repeatable phenotype of glucose metabolism. Secondly, we explored the genetic determinants of this phenotype. We conducted this study using data from Pinggu Metabolic Disease Study database (n = 3,345). We selected subjects after an oral glucose tolerance test (OGTT) (2 h, glucose <3 mmol/L_ and compared clinical features with those of normal glucose tolerance (NGT). We additionally selected 75 subjects as super-healthy control group. Whole-exome sequencing (WES) was performed on postprandial hypoglycaemic and super-healthy controls. We also evaluated several candidate genes believed to be important in pancreatic hypoglycaemia. We found 13 participants (0.39%) had an OGTT 2 h glucose <3 mmol/L. Ten patients were men (76.9%). All 13 participants had insulin > 3 uU/mL when postprandial blood glucose levels were <3 mmol/L. WES analysis identified one gene, paternally expressed 3 (PEG3), which had three rare mutations in four patients (30.8%). Minor allele frequencies (MAF) of rare PEG3 mutations were significantly higher in subjects with postprandial hypoglycaemia than in super-healthy controls. Among all four subjects with PEG3 gene mutations, 71.4% were men, and their body mass index (BMI) was significantly lower than that of the NGT. Postprandial hypoglycaemia is an extreme and reproducible phenotype in the general population. PEG3 mutations may represent a potential genetic aetiology for postprandial hypoglycaemia. Further research with larger and more diverse populations and a broader genetic focus is needed to understand the genetic basis of postprandial hypoglycaemia.

Association of 25(OH)-Vitamin D3 Serum Concentrations and Vitamin D Receptor Gene Variants with the Risk of Idiopathic Spontaneous Preterm Birth in the Croatian Population.

Preterm birth (PTB) forms a heterogeneous group with possible genetic predisposition. 25(OH)-vitamin D3 plays a significant role during implantation, placentation, and the maintenance of normal pregnancy. The aim of our research was to examine whether FokI, Cdx2, and ApaI VDR gene variants, as well as serum concentrations of 25-hydroxy25(OH)-vitamin D3 in women and their newborns, might be predisposing factors for idiopathic spontaneous preterm birth. The patient group consisted of 44 pairs of women with ISPTB and their children, and the control group consisted of 44 pairs of women who delivered at term and their children. At the time of delivery, peripheral blood was collected from every woman, and after newborn delivery, umbilical cord blood was collected. For genotyping of the rs2228570 C/T, rs11568820 G/A, and rs7975232 T/G SNPs, a combination of polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP) was used. Serum concentrations of 25(OH)-vitamin D3 were determined using high-performance liquid chromatography (HPLC). There were no statistically significant differences in the frequencies of VDR genotypes and alleles between women with ISPTB and control women. There was a statistically significant difference in the distribution of VDR Cdx-2 (rs11568820) genotypes between preterm-born children and controls, with the GG genotype and G allele being more prevalent among patients than controls (p < 0.001). There were no statistically significant differences in mean values between women with ISPTB and control women, nor between preterm and full-term newborns, although the 25(OH)-vitamin D3 concentrations in preterm-born children were lower than in controls. Furthermore, there was a statistically significant correlation in 25(OH)-vitamin D3 concentrations between mothers and children both in the patient and in the control groups (b = 0.771, p < 0.001). The results of our study demonstrate a notable association between the VDR Cdx2 gene polymorphism and idiopathic spontaneous preterm birth (ISPTB) in a Caucasian population, but because of the small number of participants, further research is needed.

The association between ADAMTS14/rs4747096 gene polymorphism and some risk factors and knee osteoarthritis

Knee osteoarthritis (KOA) is an important cause of disability in the world and it denotes a public health defiance of the upcoming years.Aim To examine the connection between ADAMTS14 gene rs4747096 polymorphism and KOA and to assess risk factors associated with KOA.Methods A case control study was conducted on 158 patients with KOA and 120 controls with comparable age and sex randomly recruited from National Research Centre employees. All participants were subjected to full history taking, assessment of KOA severity using WOMAC scoring system, and thorough clinical examination. Blood sample was collected for detection of ADAMTS14/rs4747096 gene polymorphism.Results The frequency of ADAMTS14 gene rs4747096 genotypes among patients with KOA was 73.5% for AA, 25.7% for AG, and 0.7% for GG compared to controls 963%, 31.3%, and 5.6% respectively and the frequency of alleles among patients was 86.4% for A and 78.7% for G compared to controls (78.7% and 21.3% respectively, P < 0.05. The study found that the median levels of total WOMAC score and its domains were significantly higher among KOA patients than controls. The logistic regression analysis revealed that age ≥ 50 years, BMI ≥ 35, and long standing at work were predictive factors for KOA (P < 0.05). Regarding different genetic patterns, only the A recessive pattern of inheritance was found to be a predictive risk factor for KOA.Conclusion For ADAMTS14 rs4747096 genotype, the AA and AG genotypes significantly increased the risk of KOA. The recessive pattern of inheritance, older age, morbid obesity, and prolonged standing at work were the predictive risk factors for KOA. Further studies with larger sample size are encouraged to investigate the mechanism by which this genotype can affect the development of KOA.

Afro-Latin American Pharmacogenetics of CYP2D6, CYP2C9, and CYP2C19 in Dominicans: A Study from the RIBEF-CEIBA Consortium

Background/Objectives: Research on pharmacogenetic variability in response to prescribed drugs and across ethnic groups is essential for personalized medicine, particularly in admixed and unstudied populations. For the first time, this study examines CYP2D6, CYP2C9, and CYP2C19 alleles and genotypes in 197 healthy volunteers from the Dominican Republic, as part of the RIBEF-CEIBA collaborative network. Methods: The analysis focuses on the participants’ tri-hybrid genomic ancestry, with CYP alleles determined by real-time PCR and molecular ancestry inferred using 90 AIMs. Linear regression was used to associate ancestry components with CYP frequencies. Results: The average ancestry was 23.8% European, 42.6% Native American, and 33.6% African, the latter being higher than in most Latin American populations. Native American ancestry was also higher than expected. Predicted phenotype frequencies based on genotypes were 4.2% poor metabolizers (gPMs) and 3.6% ultrarapid metabolizers (gUMs) for CYP2D6, as well as 3% gPMs, 22.8% rapid metabolizers (gRMs), and 1.5% gUMs for CYP2C19. No gPM individuals were observed for CYP2C9. Certain alleles associated with decreased CYP2D6 activity (*17 and *29) and increased CYP2C19 activity (*17 and gUMs) were positively linked with African ancestry and negatively with Native American ancestry. Rare CYP2C9 alleles (*5 and *6) with clinical relevance were additionally found. Conclusions: These findings build on previous results from the RIBEF-CEIBA collaborative network, demonstrating differences in allele frequencies of CYP2D6, CYP2C9, and CYP2C19 in relation to genomic ancestry. In summary, ethnicity must be considered in the development of pharmacogenetic guidelines for clinical application, research, and regulation to avoid widening the biotechnology gap and to allow Personalized Medicine to reach the entire world population.