Allele Frequency Database Research Articles

Impact of population size on population genetic analysis of Short Tandem Repeat (STR) allelic data, forensic and paternity parameters and its effect on forensic DNA analysis.

The selection of an appropriate STR allelic frequency database is the prerequisite for assessing the evidentiary value of DNA evidence. Four data sets comprising 50, 100, 200, and 500 samples were evaluated in 21 autosomal STR markers in the Indian and the Bahrain population. Allelic richness showed an increasing trend with the increase in sample size i.e., 193 and 201 (50 samples), 217 and 221 (100 samples), 255 and 238 (200 samples), and 292 and 285 (500 samples) in both the populations. TPOX and D13S317 markers did not show any increase in allele number, whereas SE33 markers showed the highest increase in both populations. With the increase in sample size, 70 (Bahrain population) and 100 (Indian population) alleles having < MAF were detected. Similarly, 37 and 47 previously undetected alleles could be detected when the sample size was increased from 50 to 500 in the Indian and Bahrain populations respectively. In the Indian population, Match probability, decreased with a 500-sample size, whereas, the PIC, PE, Heterozygosity, and PI increased with the increase in sample size. Further, database size did not show any statistical difference in the outcome of the Paternity Index value in the 50 paternity trio cases studied.

A spectrum of nonsense-mediated mRNA decay efficiency along the degree of mutational constraint

Despite its importance for regulating gene expression, nonsense-mediated mRNA decay (NMD) remains poorly understood. Here, we extend the findings of a previous landmark study that proposed several factors associated with NMD efficiency using matched genome and transcriptome data from The Cancer Genome Atlas Program (TCGA) by incorporating additional data including Genotype-Tissue Expression (GTEx), gnomAD, and metrics for mutational constraints. Factors affecting NMD efficiency are analyzed using an allele-specific expression (ASE)-based measure to reduce noise caused by random variations. Additionally, by combining our data with the updated allele frequency database of gnomAD, we demonstrate the spectrum of NMD efficiency according to the degree of gene-level mutational constraints (degree of a gene-tolerating loss-of-function variants). The NMD prediction model, trained on TCGA data, shows that gene-level mutational constraint is an important predictor of NMD efficiency. Findings of this study suggest the potential role of NMD on shaping the landscape of mutational constraints.

Expanding the Russian allele frequency reference via cross-laboratory data integration: insights from 7452 exome samples.

Population allele frequency is crucially important for accurate interpretation of known and novel variants in medical genetics. Recently, several large allele frequency databases, such as the Genome Aggregation Database (gnomAD), have been created to serve as a global reference for such studies. However, frequencies of many rare alleles vary dramatically between populations, and population-specific allele frequency is often more informative than the global one. Many countries and regions, including Russia, remain poorly studied from the genetic perspective. Here, we report the first successful attempt to integrate genetic information between major medical genetic laboratories in Russia. We construct RUSeq, an open, large-scale reference set of genetic variants by analyzing 7452 exome samples collected in two major Russian cities-Moscow and St. Petersburg. An ∼10-fold increase in sample size compared to previous studies allowed us to characterize extensive genetic diversity within the admixed Russian population with contributions from several major ancestral groups. We highlight 51 known pathogenic variants that are overrepresented in Russia compared to other European countries. We also identify several dozen high-impact variants that are present in healthy donors despite being annotated as pathogenic in ClinVar and falling within genes associated with autosomal dominant disorders. The constructed database of genetic variant frequencies in Russia has been made available to the medical genetics community through a variant browser available at http://ruseq.ru.

Abstract P181: Class 1 human leukocyte antigens exhibit marked variability in capacity to present isolevuglandin adducts

Introduction: Isolevuglandins (isoLGs) are lipid peroxidation products that covalently modify lysine residues on self-proteins. These modified self-proteins are processed to peptides that are presented in the context of class I major histocompatibility complexes (MHC-I). In hypertension, this modification enhances CD8 + T cell activation, contributing to inflammation and elevated blood pressure. In mice we found that IsoLG-adduct presentation is highly dependent on class I MHC structure. We sought to determine if human class I MHC (HLAs) exhibit similar variability in their ability to present these adducts by screening alleles representing 90% of the population. Hypothesis: We hypothesize that HLA subtypes exhibit variable capacity for isoLG presentation. Methods: HLA alleles representing 90% demographic frequency were identified from the US National Merit Donor Program Allele Frequency Database. HLA-null human K562 cells were transduced with these alleles, expanded, and enriched for HLA expression by flow cytometry to produce single HLA allele lines. To induce isoLG adduct presentation, cells were treated with 1mM tert-Butyl hydroperoxide (tBHP). After 24 hours, we employed Forster resonance energy transfer (FRET) between HLAs and isoLG-adducts using antibodies specific for both, which we have shown is indicative of IsoLG-adduct presentation (Fig 1A-C). Results: Substantial variability for isoLG-adduct presentation was observed between HLA subtypes A, B and C (Figure 1A-1C). Scikit-learn’s KMeans clustering revealed four patterns of isoLG-adduct presentation among HLAs: Low baseline/low activation, low baseline/high activation, intermediate baseline/intermediate activation, and high baseline/high activation alleles (Fig 1D). Conclusions: These findings identify specific HLA alleles as high isoLG presenters, potentially associated with increased immune activation risk. Combining these findings, HLA alleles, and diagnosis code databases could aid in identifying high-risk haplotypes for immune activation in human hypertension.

Complex trait susceptibilities and population diversity in a sample of 4,145 Russians

The population of Russia consists of more than 150 local ethnicities. The ethnic diversity and geographic origins, which extend from eastern Europe to Asia, make the population uniquely positioned to investigate the shared properties of inherited disease risks between European and Asian ancestries. We present the analysis of genetic and phenotypic data from a cohort of 4,145 individuals collected in three metro areas in western Russia. We show the presence of multiple admixed genetic ancestry clusters spanning from primarily European to Asian and high identity-by-descent sharing with the Finnish population. As a result, there was notable enrichment of Finnish-specific variants in Russia. We illustrate the utility of Russian-descent cohorts for discovery of novel population-specific genetic associations, as well as replication of previously identified associations that were thought to be population-specific in other cohorts. Finally, we provide access to a database of allele frequencies and GWAS results for 464 phenotypes.

MHBase: A comprehensive database of short microhaplotypes for advancing forensic genetic analysis

Microhaplotypes (MHs) were first recommended by Prof. Kidd for use in forensics because they can improve human identification, kinship analysis, mixture deconvolution, and ancestry prediction. Since their introduction, extensive research has demonstrated the advantages of MHs in forensic applications and provided useful data for different populations. Currently, two databases, ALFRED (ALlele FREquency Database) and MicroHapDB (MicroHaplotype DataBase), house the published MH information and population data. We previously constructed a single nucleotide polymorphism SNP-SNP MH database (D-SNPsDB) of MHs within 50 bp on the whole human genome for 26 populations integrating basic data such as physical genome positions, mapping of variant identifiers (rsIDs), allele frequencies, and basic variant information. Building upon the previous research, we further selected MHs containing at least two variants (SNPs and/or insertions/deletions [InDels]) within a short DNA fragment (≤ 50 bp) in 26 populations based on the 1000 Genomes Project dataset (Phase 3) to construct a more comprehensive database. Subsequently, we established a user-friendly website that allows users to search the MH database (MHBase) based on their research objectives and study population to find suitable loci and provides other functions such as querying reported loci, performing online calculations using the PHASE software, and calculating ancestral-related parameters. The loci in the database are classified as SNP-based MHs, which include only SNPs, and InDel-including MHs, which contain at least one InDel. Here, we provide a detailed overview of the MHBase and an analysis of shared loci at the global and continental levels, ancestral markers, the genetic distance within loci, and mapping with the genome annotation file. The website is an accessible and useful tool for researchers engaged in marker discovery, population studies, assay development, and panel design.

Abstract PO3-16-01: Personalized circulating tumor DNA assay precisely predicts the response of neoadjuvant chemotherapy in breast cancer patients

Abstract Introduction Circulating tumor DNA (ctDNA), which is detected in the blood as cell free DNA fragment from tumor cells, could indicates genomic landscape, tumor burden and treatment response during chemotherapy as a non-invasive method. Especially, personized ctDNA assay by next-generation sequencing(NGS) is able to detect a trace amount of ctDNA and precisely figure out the change of the amount of ctDNA during NAC and follow up period after curative surgery. Here, we performed serial ctDNA evaluations in EBC patients who diagnosed as TNBC or HER2-positive BC and received NAC followed by curative surgery. We aimed to predict NAC response and detect minimal residual disease (MRD) using personalized ctDNA assay. Methods CtDNA was detected by AlphaLiquid®Detect, a tumor-informed personalized MRD detection assay exploring most of the mutations in tumor. Whole exome sequencing (WES) of tumor tissue and peripheral blood mononuclear cells (PBMCs) was performed. Patient-specific somatic mutations were selected using a proprietary algorithm. In brief, clonal variants were prioritized using integrated information including variant allele frequency, population allele frequency databases, somatic variant databases, variant pathogenicity, and genomic context. Up to 100 variants were selected for patient monitoring. A hybridization capture panel consisting of a pool of 4 patients’ selected variants was synthesized. These bespoke panels (BSPs) were used for ctDNA detection. Patients with more than 2 tumor-derived mutations detected in plasma were considered as ctDNA positive. Inclusion criteria included patient who diagnosed as stage IIA-IIIC BC planned to NAC followed by curative surgery. Among BC subtypes, TNBC and HER2-positive BC were allowed. Collection of specimens and associated clinical data used in this study was approved by the Institutional Review Board of Samsung Medical Center (IRB File No.2021-02-033), and we received informed consents for this study. Results From May 2021 to Sep 2022, 158 patients has been enrolled. Archival tissues were not available in 47 patients and tissue WES had failed in six patients. Therefore, 105 patients were enrolled and analyzed their ctDNA at diagnosis based on tissue WES data. Of 105 patients, Median age of BC patients was 49.3 years of age (range: 26.1, 67.8). Thirty-six patients (34.3%) were post-menopausal status and others (65.7%) were pre-menopausal status. In BC pathology at diagnosis, 56 (53.3%) were TNBC and other 49 (46.7%) were HER2-positive BC. Among HER2-positive BC, hormone receptor (HR)-positive were in 21 (20.0%). In clinical stage at diagnosis, stage II were 46 (43.8%) and stage III in 59 (56.2%). In 105 patients, median number of somatic mutations was 60 (interquartile range [IQR]: 38.5, 91). CtDNA detection rate at BC diagnosis was 90.5% and all of BC which not be detected ctDNA was HER2-positive BC with clinical stage II. Median amount of ctDNA at diagnosis was 20 (IQR: 6, 44). In the number of somatic mutations, there was no difference according to BC subtypes (P=0.121) and clinical stage (P=0.700) but the amounts of ctDNA at diagnosis was different. CtDNA was much more detected in TNBC compared to HER2-positive BC (Median: 34.5 vs. 15.9; P&amp;lt; 0.001) and clinical stage III compared to clinical stage II (Median 33.2 vs. 19.5; P=0.002). After NAC, ctDNA at curative surgery was tested in 70 patients. In 70 patients, pathologic complete response(pCR) was observed in 44 patients. CtDNA was detected in ten patients (14.3%) and eight did not achieve pCR and two with pCR (Specificity of assay: 95.5%, positive predictive value: 0.80, P=0.032). Conclusions Personalized ctDNA assay can precisely detected ctDNA at diagnosis and their detection rate was associated with BC subtypes and clinical stage. In addition, ctDNA at curative surgery also can predict NAC response in EBC patients. Long term ctDNA follow up of MRD would be warranted. Citation Format: Ji-Yeon Kim, Hae Hyun Jung, Jeong Eon Lee, Seok Won Kim, Hwang-Phill Kim, Sunghoon Heo, Jongseong Ahn, Tae-You Kim, Young-Hyuck Im. Personalized circulating tumor DNA assay precisely predicts the response of neoadjuvant chemotherapy in breast cancer patients [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 PO3-16-01.

Contribution of infectious diseases to the selection of ADH1B and ALDH2 gene variants in Asian populations.

The gene variants ADH1B*2 (Arg48His, rs1229984) and ALDH2*2 (Glu504Lys, rs671) are common in East Asian populations but rare in other populations. We propose that selective pressures from pathogen exposure and dietary changes during the neolithic transition favored these variants. Thus, their current association with differences in alcohol sensitivity likely results from phenotypic plasticity rather than direct natural selection. Samples sourced from the Allele Frequency Database (ALFRED) were utilized to compute the average frequency of ADH1B*2 and ALDH2*2 across 88 and 61 countries, respectively. Following computation of the average national allele frequencies, we tested the significance of their correlations with ecological variables. Subsequently, we subjected them to Principal Component Analysis (PCA) and Elastic Net regularization. For comprehensive evaluation, we collected individual-level phenotypic associations, compiling a Phenome-Wide Association Study (PheWAS) spanning multiple ethnicities. Following multiple testing correction, ADH1B*2 displayed significant correlations with Neolithic transition timing (r = 0.405, p.adj = 2.013e-03, n = 57) and historical trypanosome burden (r = -0.418, p.adj = 0.013, n = 57). The first two components of PCA explained 47.7% of the total variability across countries, with the top three contributors being the historical indices of population density and trypanosome and leprosy burdens. Historical burdens of the Mycobacteria tuberculosis and leprosy were the sole predictive variables with positive coefficients that survived Elastic Net regularization. Our analyses suggest that Mycobacteria may have played a role in the joint selection of ADH1B*2 and ALDH2*2, expanding the "toxic aldehyde hypothesis" to include Mycobacterium leprae. Additionally, our hypothesis, linked to dietary shifts from rice domestication, emphasizes nutritional deficiencies as a key element in the selective pressure exerted by Mycobacteria. This offers a plausible explanation for the high frequency of ADH1B*2 and ALDH2*2 in Asian populations.

Revealing Y-STR Diversity of Koli Populations (Gujarat) by Studying 23 Y-STR Loci

Genetic analysis of Y-STR loci is pivotal for forensic libraries and genetic analysis. The Koli population in Gujarat, India, however, lacks such genetic characterization. This study aims to develop an allele frequency database for 23 Y-STR loci in the Koli population, examining forensic parameters and assessing genetic connections with neighboring tribes. A total of 153 unrelated Koli males were genotyped using the PowerPlex®Y23 multiplex commercial kit. We identified 117 distinct haplotypes. The Haplotype Diversity (HD) and Discrimination Capacity (DC) for the 23 Y-STR loci were 0.993 and 0.8034, respectively. DYS385b locus exhibited the highest allele variability (10 alleles), whereas DYS391, DYS389I, and DYS437 showed the least (4 alleles each). The highest Polymorphic Information Content (PIC) was observed in DYS385b (0.775), with the lowest in DYS391 (0.386). The dominant haplogroup R1a accounted for 45% of the population. Comparative analysis with other Indian populations from YHRD revealed two distinct clusters, placing the Koli population in cluster 2, indicating significant genetic similarity within this group. This inaugural study of Y-STRs in the Koli population demonstrates the utility of the Y23 kit in male identification, highlighted by substantial haplotype diversity and discrimination capacity.

English and Irish population comparison using STR markers: Insights into genetic disparities and historical influences

Short tandem repeat (STR) markers are commonly used in forensic investigations and kinship testing due to their cost-effectiveness and high discriminatory power. In the United Kingdom, STR allele frequency databases are available for different population groups, including the White group, which includes individuals of both English and Irish ethnicity. However, considering differences in historical migrations and influences between England and Ireland, distinct genetic differences might exist between these populations. This study aimed to generate allele frequency data for English and Irish populations using the VeriFiler Express PCR Amplification Kit, which contains loci utilised in national databases. Buccal swabs were collected from 577 English and 500 Irish volunteers with self-proclaimed English and Irish ethnicity respectively. DNA profiling and statistical analyses were performed to assess allele frequencies and forensic parameters, and to perform population comparisons. The results showed minimal genetic differentiation (Fst = 0.0013) between the English and Irish populations. Comparison with other European populations revealed close genetic relationships between the English population and Scandinavian countries, while the Irish population displayed closer genetic links to Western European countries. These findings support historical influences such as Viking migrations and highlight the need for further research using additional markers to explore the genetic makeup and history of the English and Irish populations. Although a single allele frequency database may be suitable due to the observed genetic similarity, the establishment of separate databases should be considered to ensure maximum population representation.

ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

BackgroundCurated databases of genetic variants assist clinicians and researchers in interpreting genetic variation. Yet, these databases contain some misclassified variants. It is unclear whether variant misclassification is abating as these databases rapidly grow and implement new guidelines.MethodsUsing archives of ClinVar and HGMD, we investigated how variant misclassification has changed over 6 years, across different ancestry groups. We considered inborn errors of metabolism (IEMs) screened in newborns as a model system because these disorders are often highly penetrant with neonatal phenotypes. We used samples from the 1000 Genomes Project (1KGP) to identify individuals with genotypes that were classified by the databases as pathogenic. Due to the rarity of IEMs, nearly all such classified pathogenic genotypes indicate likely variant misclassification in ClinVar or HGMD.ResultsWhile the false-positive rates of both ClinVar and HGMD have improved over time, HGMD variants currently imply two orders of magnitude more affected individuals in 1KGP than ClinVar variants. We observed that African ancestry individuals have a significantly increased chance of being incorrectly indicated to be affected by a screened IEM when HGMD variants are used. However, this bias affecting genomes of African ancestry was no longer significant once common variants were removed in accordance with recent variant classification guidelines. We discovered that ClinVar variants classified as Pathogenic or Likely Pathogenic are reclassified sixfold more often than DM or DM? variants in HGMD, which has likely resulted in ClinVar’s lower false-positive rate.ConclusionsConsidering misclassified variants that have since been reclassified reveals our increasing understanding of rare genetic variation. We found that variant classification guidelines and allele frequency databases comprising genetically diverse samples are important factors in reclassification. We also discovered that ClinVar variants common in European and South Asian individuals were more likely to be reclassified to a lower confidence category, perhaps due to an increased chance of these variants being classified by multiple submitters. We discuss features for variant classification databases that would support their continued improvement.

GeniePool: genomic database with corresponding annotated samples based ona cloud data lake architecture.

In recent years, there are a huge influx of genomic data and a growing need for its phenotypic correlations, yet existing genomic databases do not allow easy storage and accessibility to the combined phenotypic-genotypic information. Freely accessible allele frequency (AF) databases, such as gnomAD, are crucial for evaluating variants but lack correlated phenotype data. The Sequence Read Archive (SRA) accumulates hundreds of thousands of next-generation sequencing (NGS) samples tagged by their submitters and various attributes. However, samples are stored in large raw format files, inaccessible for a common user. To make thousands of NGS samples and their corresponding additional attributes easily available to clinicians and researchers, we generated a pipeline that continuously downloads raw human NGS data uploaded to SRA using SRAtoolkit and preprocesses them using GATK pipeline. Data are then stored efficiently in a cloud data lake and can be accessed via a representational state transfer application programming interface (REST API) and a user-friendly website. We thus generated GeniePool, a simple and intuitive web service and API for querying NGS data from SRA with direct access to information related to each sample and related studies, providing significant advantages over existing databases for both clinical and research usages. Utilizing data lake infrastructure, we were able to generate a multi-purpose tool that can serve many clinical and research use cases. We expect users to explore the meta-data served via GeniePool both in daily clinical practice and in versatile research endeavours. Database URL https://geniepool.link.

Thousands of years of Malay and Chinese population history in Indonesia and its implication on Paternity Index in DNA paternity testing

The existence of the Chinese population in the predominantly Malay population in Indonesia can be traced back thousands of years, and it has been suspected that it played an essential role in the history of the Malay population origin in Maritime South East Asia. With the fact that the Malay-Indonesian population is currently predominant compared to the Chinese population in Indonesia (Chinese-Indonesian), the selection of the origin of the STRs allele frequency panel population becomes an issue in DNA profiling, including in paternity testing. This study analyses the genetic relationship between the Chinese-Indonesian and Malay-Indonesian populations and how this affects the Paternity Index (PI) ​​calculation in paternity test cases. The study of the relationship between populations was carried out using neighbour-joining (NJ) tree analysis and multidimensional scaling (MDS) on the allele frequency panel of 19 autosomal STRs loci of Malay-Indonesian (n = 210) and Chinese-Indonesian (n = 78) populations. Four population groups were used as references: Malay-Malaysian, Filipino, Chinese, and Caucasian. An MDS analysis was also performed based on the pairwise FST calculation. The combined Paternity Index (CPI) calculation was carried out on 132 paternity cases from the Malay-Indonesian population with inclusive results using a panel of allele frequencies from the six populations. The pairwise FST MDS indicates a closer relationship between the Chinese-Indonesian and Malay-Indonesian compared to the Chinese population, which is in line with the CPIs comparison test. The outcome suggests that the alternative use of allele frequency database between Malay-Indonesian and Chinese-Indonesian for CPI calculations is not very influential. These results can also be considered in studying the extent of genetic assimilation between the two populations. In addition, these results support the robustness claim of multivariate analysis to represent phenomena that phylogenetic analyses may not be able to demonstrate, especially for massive panel data.

Unveiling genetic diversity and forensic utility of SureID® human DNA identification kits: a comprehensive analysis of 44 autosomal STR loci in English and Irish populations

Background: Human identification and kinship testing in forensic science rely on Short Tandem Repeat (STR) multiplex kits, typically containing loci recommended by standard sets. However, complementary kits with additional STR loci can be valuable in complex cases. Allele frequency databases specific to the population are essential for accurate forensic analysis. Aim: This study aimed to generate allele frequencies and population genetic data for 44 autosomal STR loci from SureID® PanGlobal and 27comp kits in English and Irish populations for forensic casework, human identification, and kinship testing. Subjects and methods: Buccal swab samples from 645 White Caucasians (365 English, 280 Irish) were collected. DNA was extracted and amplified using the mentioned kits. Quality control, statistical analysis, and genetic distance calculations were performed. Results: Both kits demonstrated robustness with no significant deviations from Hardy-Weinberg Equilibrium (HWE). Variant alleles and minor discordances between kits were observed. Syntenic STR pairs were identified but showed no significant linkage. A close genetic relationship was found between English and Irish populations, allowing for combined databases. Conclusions: The SureID® PanGlobal and 27comp kits showed high discriminatory power and reliability in the English and Irish populations. Care is needed when handling variant alleles, discordances, and syntenic loci. Combining data from both populations is feasible for a comprehensive database. Further studies are required to explore their effectiveness in diverse populations.

Exome sequencing identifies novel genes and variants in patients with Hirschsprung disease

BackgroundHirschsprung disease (HSCR) is a complex genetic disease characterized by the absence of ganglion cells in the intestines, leading to a functional obstruction in infants. At least 24 genes have been identified for the pathogenesis of HSCR. They contributed to approximately 72% of HSCR cases. We aimed to elucidate further the genetic basis of HSCR in Indonesia using the whole-exome sequencing (WES) approach. MethodsWES was performed in 39 sporadic non-syndromic HSCR patients and 16 non-HSCR subjects as controls. Variants presented in controls were excluded, followed by in silico prediction tools and population allele frequency databases to select rare variants. We determined the minor allele frequency (MAF) using gnomAD (MAF <0.1%). ResultsWe involved 24 (61.5%) males and 15 (38.5%) females. Most patients (62%) had short-segment aganglionosis and underwent the Duhamel procedure (41%). We identified several candidate novel variants in HSCR-related genes, including UBR4, GDNF, and ECE1. Moreover, we also identified some novel candidate genes, including a possible compound heterozygous variant in the MUTYH gene: the first variant, a known protein-truncating variant associated with colorectal cancer (CRC), p.Glu452Ter and the second variant is novel, p.Ala39Val. Moreover, the type of variants was not associated with the aganglionosis type. ConclusionsWe identified several novel genes and variants, including the variant associated with CRC, that might contribute to the pathogenesis of HSCR. No genotype–phenotype associations were noted. Our study further confirms the complex network involved in enteric nervous system development and HSCR pathogenesis. Level of evidenceLevel III.

Aggregated Genomic Data as Cohort-Specific Allelic Frequencies can Boost Variants and Genes Prioritization in Non-Solved Cases of Inherited Retinal Dystrophies.

The introduction of NGS in genetic diagnosis has increased the repertoire of variants and genes involved and the amount of genomic information produced. We built an allelic-frequency (AF) database for a heterogeneous cohort of genetic diseases to explore the aggregated genomic information and boost diagnosis in inherited retinal dystrophies (IRD). We retrospectively selected 5683 index-cases with clinical exome sequencing tests available, 1766 with IRD and the rest with diverse genetic diseases. We calculated a subcohort’s IRD-specific AF and compared it with suitable pseudocontrols. For non-solved IRD cases, we prioritized variants with a significant increment of frequencies, with eight variants that may help to explain the phenotype, and 10/11 of uncertain significance that were reclassified as probably pathogenic according to ACMG. Moreover, we developed a method to highlight genes with more frequent pathogenic variants in IRD cases than in pseudocontrols weighted by the increment of benign variants in the same comparison. We identified 18 genes for further studies that provided new insights in five cases. This resource can also help one to calculate the carrier frequency in IRD genes. A cohort-specific AF database assists with variants and genes prioritization and operates as an engine that provides a new hypothesis in non-solved cases, augmenting the diagnosis rate.

Allele frequencies of 15 Autosomal STR loci in Some of Iraqi population

This study was aimed to establish a database of autosomal Short Tandem Repeat (aSTR) DNA allele frequencies for an Iraqi population living in Baghdad city as a reference, therefore, a total of 456 unrelated individuals were analyzed at 15 STR DNA markers (D3S1358, vWA, FGA, D8S1179, D21S11, D18S51, D5S818, D13S317, D7S820, TH01, TPOX, CSF1PO, D19S433, D2S1338, D16S539) included in the Kit from Applied Biosystems. The obtained results revealed that the Combined Matching Probability (CMP) was estimated at 1 in 3.3287 × 10-18, and the Combined Discrimination Power (CDP) was greater than 0.98600987, which is comparable to values obtained with the many other allele frequency databases used in forensic investigations. It can be concluded that for identification purposes, it can be considered the multi-locus STR panels as a useful forensic tool.

Identification of a novel frameshift variant in the KMT2A gene of a child with Wiedemann-Steiner syndrome

To analyze pathogenic variant s of KMT2A gene in a child with Wiedemann-Steiner syndrome (WDSTS) and provide reliable evidences for clinical diagnosis of WDSTS. Whole-DNAs were extracted from an 9 years-old boy and his parents. Trio-whole exome sequencing (trio-WES) was performed to identify candidate pathogenic variants that can explain the boy's condition and sanger sequencing was conducted to prove it. The impact of detected variants were predicted and validated by bioinformatics tools. A de novo frameshift variant c.10488dupG (p.Leu3498Thrfs*41) in exon 27 of KMT2A gene was detected and this de novo variant (PS2) had not been reported in the world previously. This frameshift variant was absent in major allele frequency databases (PM2) and had been predicted to be pathogenic based on MutationTaster. Through HomoloGene and CD-search system, the 3498 locus (Leu) in KMT2A protein, which was an important histone modifying enzyme that regulated gene expression in early embryonic development and encoded by the KMT2A gene, was predicted as a high conserved locus (PP3), and that replacement of Lue3498 may result in frame-shifts with premature termination in 3539 locus by introducing stop codon, causing deletion of multiple functional domains which all played important roles on histone modifications and recognition (PVS1+PM1). According to the American College of Medical Genetics and Genomics variant classification guideline, the variant c.10488dupG (p.Leu3498Thrfs*41) in KMT2A was classified as pathogenic variant (PVS1+PS2+PM1+PM2+PP3). The patient's condition may be attributed to the de novo frameshift variant c.10488dupG (p.Leu3498Thrfs*41) in KMT2A gene. This study reported a pathogenic KMT2A variant that had not been reported previously in WDSTS, it expanded the genotypic spectrums of KMT2A variants.

DNA databases of an important tropical timber tree species Shorealeprosula (Dipterocarpaceae) for forensic timber identification

International timber trade communities are increasingly demanding that timber in the wood supply chain be sourced from sustainably harvested forests and certified plantations. This is to combat illegal logging activities to prevent further depletion of our precious forests worldwide. Hence, timber tracking tools are important to support law enforcement officials in ensuring only sustainably harvested timbers are traded in the market. In this study, we developed chloroplast DNA (cpDNA) and simple sequence repeat (SSR) databases as tracking tools for an important tropical timber tree species, Shorealeprosula from Peninsular Malaysia. A total of 1410 individual trees were sampled from 44 natural populations throughout Peninsular Malaysia. Four cpDNA regions were used to generate a cpDNA haplotype database, resulting in a haplotype map comprising 22 unique haplotypes derived from 28 informative intraspecific variable sites. This cpDNA database can be used to trace the origin of an unknown log at the regional level. Ten SSR loci were used to develop the SSR allele frequency database. Bayesian cluster analysis divided the 44 populations into two genetic clusters corresponding to Region A and Region B. Based on conservativeness evaluation of the SSR databases for individual identification, the coancestry coefficients (θ) were adjusted to 0.1900 and 0.1500 for Region A and B, respectively. These databases are useful tools to complement existing timber tracking systems in ensuring only legally sourced timbers are allowed to enter the wood supply chain.

Characterization of 58 STRs and 94 SNPs with the ForenSeq™ DNA signature prep kit in Mexican-Mestizos from the Monterrey city (Northeast, Mexico).

STR allele frequency databases from populations are necessary to take full advantage of the increased power of discrimination offered by massively parallel sequencing (MPS) platforms. For this reason, we sequenced 58 STRs (aSTRs, X-STRs, and Y-STRs) and 94 identity informative SNPs (iiSNPs) on 105 Mestizo (admixed) individuals from Monterrey City (Northeast, Mexico), with the Primer Set-A of the ForenSeq™ DNA Signature Prep Kit. Most of the STR markers were in Hardy Weinberg equilibrium, with a few exceptions. We found 346 different length-based alleles for these 58 STRs; nevertheless, they became 528 alleles when the sequence was assessed. The combined power of discrimination from autosomal STRs (aSTRs) was -virtually- 100% in both length and sequence-based alleles, while the power of exclusion was 99.9999999976065 and 99.9999999999494%, respectively. Haplotypes based on X-STRs and Y-STRs showed 100% of discriminatory capacity. These results provide -for the first time- forensic genomic population data from Mexico necessary for interpretation in kinship and criminal analyses.