Genetic diversity study on 12 X-STR loci of investigator® Argus X STR kit in Bangladeshi population.

The X-chromosome short tandem repeat (STR) loci are of particular interest for solving complex kinship and paternity cases. Here, we report the genetic data from 209 unrelated Bangladeshi individuals (102 males and 107 females) that were genotyped using the 12 X-chromosomal STR markers included in the Investigator® Argus X-12 kit (Qiagen). The 12 X-STR markers are located in four linkage groups (linkage group I: DXS10135, DXS10148, and DXS8378; linkage group II: DXS7132, DXS10079, and DXS10074; linkage group III: DXS10103, HPRTB, and DXS10101; and linkage group IV: DXS10146, DXS10134, and DXS7423). Allelic frequencies of the 12 X-STR loci and haplotype frequencies of the four linkage groups were investigated. No significant difference was observed in the allele frequencies of males and females. Distributions of heterozygosity were observed from 64.5 to 92.5% among the studied 12 X STR loci. DXS10135 and DXS10101 loci were found to be most polymorphic. For all the four linkage groups, the haplotype diversity was found to be greater than 0.986. A total of 95, 73, 66, and 74 haplotypes were observed in linkage groups I, II, III, and IV, respectively. Hardy-Weinberg equilibrium tests showed no significant deviation from expected values for all 12 loci (p > 0.05). The exact test for pairwise linkage disequilibrium for the 12 loci in the male samples did not show any significant linkage disequilibrium except the DXS10103 and DXS10101 loci after the p values were corrected by Bonferroni's correction for multiple testing (p > 0.05/66). A combined power of discrimination in male and female individuals were 0.999999998159791 and 0.999999999999993, respectively. The combined mean exclusion chance were 0.999997635 in deficiency cases, 0.999999996 in normal trio cases, and 0.999999178 in duo cases. The currently investigated Bangladeshi population showed significant differences when compared with previously reported X-STR data from other 12 populations. The results of the data analysis indicated that all the loci in the Investigator® Argus X 12 kit were fairly informative and might be useful in forensic application and kinship analysis in Bangladeshi population.

Phylogenetic and forensic studies of the Bangladeshi population using next-generation PowerPlex® Y23 STR marker system.

Haplotype diversity and allele frequencies of 23 Y chromosomal short tandem repeat (STR) loci included in the next-generation PowerPlex® Y23 System were studied in 137 Bangladeshi Bengali males. A total of 134 different haplotypes were observed with a discrimination capacity (DC) of 0.978, indicating a high potential for differentiating between male individuals in this population. The highest allele frequency (0.818) was observed in locus DYS391. Locus DYS385a/b showed the highest gene diversity (0.945) while locus DYS391 showed the lowest gene diversity (0.302). Double alleles were detected in three loci. On the other hand, four null alleles were detected in a single haplotype at DYS448, DYS549, DYS392, and DYS385a/b locus, respectively. The haplotype data is available in the Y chromosome haplotype reference database under accession number YA003445. To understand the genetic diversity of Bangladeshi Bengali population, a pairwise genetic distances (Rst) was calculated by comparing with 23 population studies consisting 4249 haplotypes. The analysis placed the Bangladeshi population along with Indian Tamil and Indo-Pakistani population in a clade separated from the rest.

Engaging primary care clinicians in the selection of implementation strategies for toddler social-emotional health promotion in community health centers.

BACKGROUND: Social-emotional risk for subsequent behavioral health problems can be identified at toddler age, a period where prevention has a heightened impact. This study aimed to meaningfully engage pediatric clinicians, given the emphasis on health promotion and broad reach of primary care, to prepare an Implementation Research Logic Model to guide the implementation of a screening and referral process for toddlers with elevated social-emotional risk. METHOD: Using an adaptation of a previously published community partner engagement method, six pediatricians from community health centers (CHCs) comprised a Clinical Partner Work Group. The group was engaged in identifying determinants (barriers/facilitators), selecting and specifying strategies, strategy-determinant matching, a modified Delphi approach for strategy prioritization, and user-centered design methods. The data gathered from individual interviews, two group sessions, and a follow-up survey resulted in a completed Implementation Research Logic Model. RESULTS: The Clinical Partner Work Group identified 16 determinants, including barriers (e.g., patient access to electronic devices) and facilitators (e.g., clinician buy-in). They then selected and specified 14 strategies, which were prioritized based on ratings of feasibility, effectiveness, and priority. The highest-rated strategies (e.g., integration of the screener into the electronic health record) provided coverage of all identified barriers and comprised the primary implementation strategy "package" to be used and tested. CONCLUSIONS: Clinical partners provided important context and insights for implementation strategy selection and specification to support the implementation of social-emotional risk screening and referral in pediatric primary care. The methodology described herein can improve partner engagement in implementation efforts and increase the likelihood of success. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A stakeholder-driven method for selecting implementation strategies: a case example of pediatric hypertension clinical practice guideline implementation.

BACKGROUND: This article provides a generalizable method, rooted in co-design and stakeholder engagement, to identify, specify, and prioritize implementation strategies. To illustrate this method, we present a case example focused on identifying strategies to promote pediatric hypertension (pHTN) Clinical Practice Guideline (CPG) implementation in community health center-based primary care practices that involved meaningful engagement of pediatric clinicians, clinic staff, and patients/caregivers. This example was chosen based on the difficulty clinicians and organizations experience in implementing the pHTN CPG, as evidenced by low rates of guideline-adherent pHTN diagnosis and treatment. METHODS: We convened a Stakeholder Advisory Panel (SAP), comprising 6 pediatricians and 5 academic partners, for 8 meetings (~12 h total) to rigorously identify determinants of pHTN CPG adherence and to ultimately develop a testable multilevel, multicomponent implementation strategy. Our approach expanded upon the Expert Recommendations for Implementation Change (ERIC) protocol by incorporating a modified Delphi approach, user-centered design methods, and the Implementation Research Logic Model (IRLM). At the recommendation of our SAP, we gathered further input from youth with or at-risk for pHTN and their caregivers, as well as clinic staff who would be responsible for carrying out facets of the implementation strategy. RESULTS: First, the SAP identified 17 determinants, and 18 discrete strategies were prioritized for inclusion. The strategies primarily targeted determinants in the domains of intervention characteristics, inner setting, and characteristics of the implementers. Based on SAP ratings of strategy effectiveness, feasibility, and priority, three tiers of strategies emerged, with 7 strategies comprising the top tier implementation strategy package. Next, input from caregivers and clinic staff confirmed the feasibility and acceptability of the implementation strategies and provided further detail in the definition and specification of those strategies. CONCLUSIONS: This method-an adaptation of the ERIC protocol-provided a pragmatic structure to work with stakeholders to efficiently identify implementation strategies, particularly when supplemented with user-centered design activities and the intuitive organizing framework of the IRLM. This generalizable method can help researchers identify and prioritize strategies that align with the implementation context with an increased likelihood of adoption and sustained use.

Alarming Situation of Spreading Enteric Viruses Through Sewage Water in Dhaka City: Molecular Epidemiological Evidences.

Global burden of acute viral gastroenteritis remains high, particularly in developing countries including Bangladesh. Sewage water (SW) is an important node to monitor enteric pathogens both in the environment and among the population. Analysis of SW in Dhaka city deems crucially important because a large number of urban-city dwellers live in Dhaka city, the capital of Bangladesh, under a constant threat of precarious sewerage system. In this study, we collected raw SW from five locations of Dhaka city every month from June 2016 to May 2017. It was concentrated with polyethylene glycol (PEG) and investigated for three major enteric viruses, rotavirus A (RVA), norovirus GII (NoV GII) and adenovirus (AdV) using polymerase chain reaction (PCR). Most of these SW samples collected from both hospitals and non-hospital areas yielded enteric viruses: 76% samples were positive for AdV, followed by 53% NoV GII and 38% RVA. Viral load was determined as much as 1 × 107 copies/ml for RVA and 3.5 × 103 copies/ml for NoV GII. Importantly, NoV GII and AdV that can affect people of all ages were predominated during monsoon also when SW overflows and spreads over a wide and crowded area. Genotypes G1, G2, G3, G8, and G9 for RVA, GII.4 for NoV, and type 41 for AdV were detected representing the current profile of circulating genotypes in the population. This study provides the first evidence of distribution of major diarrheal viruses in SW in Dhaka city which is alarming showing grave risk of impending outbreaks through exposure.

Genetic data on 10 autosomal STR loci in the Bangladeshi population.

Allele frequencies of 10 autosomal short tandem repeat (STR) loci, D3S1358, vWA, D16S539, D2S1338, D8S1179, D21S11, D18S51, D19S433, TH01 and FGA were determined in 211 unrelated Bangladeshi individual using AmpFLSTR SGM Plus PCR Amplification Kit. Statistical parameters of forensic importance, the power of discrimination (PD), observed and expected heterozygosity values (H), polymorphism information content (PIC), probability of match (PM), power of exclusion (PE) and typical paternity index (TPI) were calculated for the loci. These parameters indicated the usefulness of the loci in paternity testing and personal identification in the Bangladeshi population.

Genetic polymorphism studies on 22 autosomal STR loci of the PowerPlex Fusion System in Bangladeshi population.

Genetic polymorphism of 22 autosomal STR loci included in PowerPlex® Fusion System (D3S1358, D1S1656, D2S441, D10S1248, D13S317, Penta E, D16S539, D18S51, D2S1338, CSF1PO, Penta D, TH01, vWA, D21S11, D7S820, D5S818, TPOX, D8S1179, D12S391, D19S433, FGA and D22S1045) was studied in 188 unrelated Bangladeshi Bengali individuals. Allele frequencies and forensic efficiency parameters such as, the power of discrimination (PD), observed and expected heterozygosity (Ho & He), polymorphism information content (PIC), probability of match (PM), power of exclusion (PE) and typical paternity index was calculated for the loci. The combined PM and PE for all 22 STR loci were calculated to be 5.29×10-27 and 0.99999999945 respectively. The dataset indicated the usefulness of these loci in personal identification, parentage testing and complex kinship analysis in Bangladeshi population. A neighbor-joining tree was constructed based on pair-wise Nei's genetic distance by comparing allele frequency data for the 22 loci with six other populations. The analysis showed that Bangladeshi population lies closer to a clade consisting Japan, the Philippines and East Timot populations.

Haplotype diversity of 17 Y-chromosomal STR loci in the Bangladeshi population.

Haplotype and allele frequencies of 17 Y-chromosomal STR loci were determined in 216 unrelated Bangladeshi males. AmpFlSTR Y-filer PCR Amplification kit (Applied Biosystems) was used to type the following Y-STR markers: DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393, DYS385a/b, DYS438, DYS439, DYS437, DYS448, DYS458, DYS456, DYS635, and Y-GATA-H4. A total of 211 haplotypes for the 17 Y-STR markers were detected and, of these, 206 haplotypes were unique. The haplotype diversity was 0.9998, indicating a high potential for differentiating between male individuals in this population. Comparison analysis via Analysis of Molecular Variance (AMOVA) and construction of Neighbor Joining Tree revealed a close association of Bangladeshi population with Indian Gaddi and Southern Indian populations.

Allele Frequencies of 10 Autosomal STR Loci from Chakma and Tripura Tribal Populations in Bangladesh.

Allele frequencies of ten autosomal STR loci, D3S1358, vWA, D16S539, D2S1338, D8S1179, D21S11, D18S51, D19S433, TH01, and FGA were investigated in Chakma and Tripura tribal populations of Bangladesh. In both the populations, all loci were in Hardy-Weinberg equilibrium except for FGA locus in Chakma and D21S11 in Tripura. All the loci were highly polymorphic in Chakma population with an observed heterozygosity (Ho) of >0.7 and moderately polymorphic in Tripura population (Ho > 0.6). However, both the population showed least polymorphism at TH01 locus (Ho < 0.6). A comparison between Chakma and Tripura population data revealed statistically significant differences in allele frequency distribution for most of the loci. A similar comparison with the mainstream Bengali population using previously published data from this lab also showed significant difference in allele frequency with these two tribal populations.

Forensic evaluation of STR data for the PowerPlex 16 System loci in a Bangladeshi population.

Allele frequencies of 15 autosomal STR loci included in PowerPlex 16 System were determined from a sample of 148 unrelated Bangladeshi individuals. Forensic efficiency parameters such as, the power of discrimination (PD), observed and expected heterozygosity (H), polymorphism information content (PIC), probability of match (PM), power of exclusion (PE), and typical paternity index were calculated for the loci. These parameters indicated the usefulness of the loci in paternity testing and personal identification in the Bangladeshi population.