Kinship Analysis Research Articles

Population genetic analyses of Eastern Chinese Han nationality using ForenSeq™ DNA Signature Prep Kit.

Currently, the most commonly used method for human identification and kinship analysis in forensic genetics is the detection of length polymorphism in short tandem repeats (STRs) using polymerase chain reaction (PCR) and capillary electrophoresis (CE). However, numerous studies have shown that considerable sequence variations exist in the repeat and flanking regions of the STR loci, which cannot be identified by CE detection. Comparatively, massively parallel sequencing (MPS) technology can capture these sequence differences, thereby enhancing the identification capability of certain STRs. In this study, we used the ForenSeq™ DNA Signature Prep Kit to sequence 58 STRs and 94 individual identification SNPs (iiSNPs) in a sample of 220 unrelated individuals from the Eastern Chinese Han population. Our aim is to obtain MPS-based STR and SNP data, providing further evidence for the study of population genetics and forensic applications. The results showed that the MPS method, utilizing sequence information, identified a total of 486 alleles on autosomal STRs (A-STRs), 97 alleles on X-chromosome STRs (X-STRs), and 218 alleles on Y-chromosome STRs (Y-STRs). Compared with length polymorphism, we observed an increase of 260 alleles (157, 31, and 72 alleles on A-STRs, X-STRs, and Y-STRs, respectively) across 36 STRs. The most substantial increments were observed in DYF387S1 and DYS389II, with increases of 287.5% and 250%, respectively. The most increment in the number of alleles was found at DYF387S1 and DYS389II (287.5% and 250%, respectively). The length-based (LB) and sequence-based (SB) combined random match probability (RMP) of 27 A-STRs were 6.05E-31 and 1.53E-34, respectively. Furthermore, other forensic parameters such as total discrimination power (TDP), cumulative probability of exclusion of trios (CPEtrio), and duos (CPEduo) were significantly improved when using the SB data, and informative data were obtained for the 94 iiSNPs. Collectively, these findings highlight the advantages of MPS technology in forensic genetics, and the Eastern Chinese Han genetic data generated in this study could be used as a valuable reference for future research in this field.

Genomic inbreeding estimated through runs of homozygosity in Moura pigs and four commercial swine breeds

The transmission of identical haplotypes from a common ancestor creates long stretches of homozygous genotypes, known as runs of homozygosity (ROHs). Longer haplotypes are inherited from recent common ancestors, and shorter haplotypes, from distant ancestors. In this study, we performed a comparative analysis of the genomic data of the Moura pig breed, a locally adapted breed from Brazil, that typically grows in extensive or semi-intensive systems, in comparison to the commercial breeds Duroc, Landrace, Large White, and Pietrain. We investigated ROH patterns and different inbreeding coefficients in order to guide long-term breeding programs, rescue efforts, and breed evaluation programs. To understand these patterns, we performed a detailed genome characterization of 459 animals, of which 84 were Moura, 87 Duroc, 138 Landrace, 84 Large White and 66 Pietrain swine, performed using Illumina Porcine v2 BeadChip markers. Inbreeding coefficients based on the genomic relationship matrix and ROH were calculated, indicating that Moura pigs displayed the highest ROH frequency (greater than 8 Mb) compared to the other swine breeds. This demonstrates that Moura pigs exhibit greater inbreeding in recent generations, probably due to severe reductions in the number of animals. Furthermore, genes related to meat quality were detected on the ROH islands superimposed on the Moura and Duroc breeds, comprising one of the main characteristics of both breeds. Kinship analysis revealed notable genetic diversity among Moura pigs, with the majority of comparisons indicating the absence of direct parentage. Our findings contribute to a better understanding of the genomic profile of the locally adapted Moura breed. Additionally, they underscore the importance of monitoring inbreeding as a starting point for genetic improvement programs and genomic studies of this breed.

Broad-scale genetic population connectivity in the Moreton Bay Bug (Thenus australiensis) on Australia’s east coast

Understanding population connectivity helps inform resource and conservation managers about appropriate boundaries for management units. However, for many species facing recent increases in fishing or environmental pressure, accurate information on population structure is lacking. Reef Bugs (Thenus australiensis), commonly known as Moreton Bay Bugs, are iconic shovel-nosed lobsters in northern Australia and an increasingly important fisheries resource. Around 80% of landings occur in the Queensland East Coast Otter Trawl Fishery (ECOTF) where the first stock assessment of the species is underway. However, knowledge about population structure to inform stock assessment is lacking. We used genome complexity reduction-based sequencing to characterise high-quality Single Nucleotide Polymorphisms (SNPs) used to evaluate population structure among three management zones of the ECOTF. Post-filtering, a total of 3,031 SNPs were used to infer no genetic differences among locations indicating strong genetic population connectivity. The presence of a single panmictic population was further supported by cluster and kinship analyses. Broad-scale genetic connectivity likely results from pelagic larval dispersal due to limited adult movements. Findings of high gene flow among connected populations indicate a single biological stock of T. australiensis on Australia’s east coast and will inform future fisheries management initiatives.

An approach to unified formulae for likelihood ratio calculation in pairwise kinship analysis.

Introduction: The likelihood ratio (LR) can be an efficient means of distinguishing various relationships in forensic fields. However, traditional list-based methods for derivation and presentation of LRs in distant or complex relationships hinder code editing and software programming. This paper proposes an approach for a unified formula for LRs, in which differences in participants' genotype combinations can be ignored for specific identification. This formula could reduce the difficulty of by-hand coding, as well as running time of large-sample-size simulation. Methods: The approach is first applied to a problem of kinship identification in which at least one of the participants is alleged to be inbred. This can be divided into two parts: i) the probability of different identical by descent (IBD) states according to the alleged kinship; and ii) the ratio of the probability that specific genotype combination can be detected assuming the alleged kinship exists between the two participants to the similar probability assuming that they are unrelated, for each state. For the probability, there are usually recognized results for common identification purposes. For the ratio, subscript letters representing IBD alleles of individual A's alleles are used to eliminate differences in genotype combinations between the two individuals and to obtain a unified formula for the ratio in each state. The unification is further simplified for identification cases in which it is alleged that both of the participants are outbred. Verification is performed to show that the results obtained with the unified and list-form formulae are equivalent. Results: A series of unified formulae are derived for different identification purposes, based on which an R package named KINSIMU has been developed and evaluated for use in large-size simulations for kinship analysis. Comparison between the package with two existing tools indicated that the unified approach presented here is more convenient and time-saving with respect to the coding process for computer applications compared with the list-based approach, despite appearing more complicated. Moreover, the method of derivation could be extended to other identification problems, such as those with different hypothesis sets or those involving multiple individuals. Conclusion: The unified approach of LR calculation can be beneficial in kinship identification field.

Related in Death? Further Insights on the Curious Case of Bishop Peder Winstrup and His Grandchild’s Burial

In 2021, we published the results of genomic analyses carried out on the famous bishop of Lund, Peder Winstrup, and the mummified remains of a 5–6-month-old fetus discovered in the same burial. We concluded that the two individuals were second-degree relatives and explored the genealogy of Peder Winstrup to further understand the possible relation between them. Through this analysis, we found that the boy was most probably Winstrup’s grandson and that the two were equally likely related either through Winstrup’s son, Peder, or his daughter, Anna Maria von Böhnen. To further resolve the specific kinship relation, we generated more genomic data from both Winstrup and the boy and implemented more recently published analytical tools in detailed Y chromosome- and X chromosome-based kinship analyses to distinguish between the competing hypotheses regarding maternal and paternal relatedness. We found that the individuals’ Y chromosome lineages belonged to different sub-lineages and that the X-chromosomal kinship coefficient calculated between the two individuals were elevated, suggesting a grandparent–grandchild relation through a female, i.e., Anna Maria von Böhnen. Finally, we also performed metagenomic analyses, which did not identify any pathogens that could be unambiguously associated with the fatalities.

Comprehensive landscape of non-CODIS STRs in global populations provides new insights into challenging DNA profiles

The worldwide implementation of short tandem repeats (STR) profiles in forensic genetics necessitated establishing and expanding the CODIS core loci set to facilitated efficient data management and exchange. Currently, the mainstay CODIS STRs are adopted in most general-purpose forensic kits. However, relying solely on these loci failed to yield satisfactory results for challenging tasks, such as bio-geographical ancestry inference, complex DNA mixture profile interpretation, and distant kinship analysis. In this context, non-CODIS STRs are potent supplements to enhance the systematic discriminating power, particularly when combined with the high-throughput next-generation sequencing (NGS) technique. Nevertheless, comprehensive evaluation on non-CODIS STRs in diverse populations was scarce, hindering their further application in routine caseworks. To address this gap, we investigated genetic variations of 178 historically available non-CODIS STRs from ethnolinguistically different worldwide populations and studied their characteristics and forensic potentials via high-coverage whole genome sequencing (WGS) data. Initially, we delineated the genomic properties of these non-CODIS markers through sequence searching, repeat structure scanning, and manual inspection. Subsequent population genetics analysis suggested that these non-CODIS STRs had comparable polymorphism levels and forensic utility to CODIS STRs. Furthermore, we constructed a theoretical next-generation sequencing (NGS) panel comprising 108 STRs (20 CODIS STRs and 88 non-CODIS STRs), and evaluated its performance in inferring bio-geographical ancestry origins, deconvoluting complex DNA mixtures, and differentiating distant kinships using real and simulated datasets. Our findings demonstrated that incorporating supplementary non-CODIS STRs enabled the extrapolation of multidimensional information from a single STR profile, thereby facilitating the analysis of challenging forensic tasks. In conclusion, this study presents an extensive genomic landscape of forensic non-CODIS STRs among global populations, and emphasized the imperative inclusion of additional polymorphic non-CODIS STRs in future NGS-based forensic systems.

A novel approach of kinship determination based on the physical length of genetically shared regions of chromosomes.

Determination of genetic relatedness between individuals plays a crucial role in resolving numerous civil cases involving familial relationships and in forensic investigation concerning missing persons. Short tandem repeats (STRs), known for their high degree of DNA polymorphism, have traditionally been the primary choice of DNA markers in genetic testing, but their application for kinships testing is limited to cases involving close kinship. SNPs have emerged as promising supplementary markers for kinship determination. Nevertheless, the challenging remains in discriminating between third-degree or more distant relatives, such as first cousins, using SNPs. To investigate a kinship analysis method for distant degree of familial relationships using high-density SNP data. A high-density SNP data from 337 individuals of Korean families using Affymetrix Axiom KORV1.0-96 Array was obtained for this study. SNPs were aligned by chromosomal positions, and identity-by-state (IBS) was determined, and then shared regions as consecutive SNPs with IBS of 1 or 2 were investigated. The physical lengths of these IBS segments were measured and summed them to create an Index, as a measure of kinship. The kinship was determined by the physical length of shared chromosomal regions that are distinguished by each kinship. Using this method, the relationship was able be distinguished up to the fourth degree of kinship, and non-relatives were clearly distinguished from true relatives. We also found a potential for this approach to be used universally, regardless of microarray platforms for SNP genotyping and populations. This method has a potential to determine the different degree of kinship between individuals and to distinguish non-relatives from true relatives, which can be of great help for practical applications in kinship determination.

GRUPS-rs, a high-performance ancient DNA genetic relatedness estimation software relying on pedigree simulations

Background: The study of fine-grain genetic kinship ties (parents, siblings, cousins, etc.) from ancient remains is now gaining significant interest within the field of paleogenetics, as a means of deciphering the social organization of past societies. However, kinship analyses are in practice often quite difficult to apply within paleogenetic studies, and may carry a high degree of uncertainty in the results they provide, especially when applied on low coverage and/or highly degraded samples, or when studying poorly characterized populations. To overcome these challenges, most of the available kinship estimation methods either refrain from inferring ties beyond the second degree (e.g., half-siblings), and/or rely on the use of a cohort of individuals to obtain a satisfactory statistical significance. Thus, the current state of the art remains intrinsically limited when attempting to estimate kinship on a small number of individuals, or when trying to detect more distant relationships (e.g., cousins). Methods:Here, we present GRUPS-rs:an update and complete reimplementation of GRUPS (Get Relatedness Using Pedigree Simulations), an ancient DNA kinship estimation software based on the methods originally developed in (Martin et al. 2017).GRUPS-rs both computes an estimate of relatedness from randomly sampled pseudo-haploidized variant calls, and leverages high-definition pedigree simulations to bypass the use of a cohort of individuals. Results: We highlight that GRUPS and GRUPS-rs are especially suitable to perform kinship analysis on a restricted number of ancient samples, and can provide a sufficient statistical significance to estimate genetic relatedness past the second degree, while taking into account user-defined contamination and sequencing error estimates. Importantly, GRUPS-rs offers an estimated 14000-fold speed-up in runtime performance compared to its predecessor — allowing the joint estimation of kinship between dozens of individuals in a matter of minutes — and is now bundled with a user-friendly Shiny interface, in which users can interactively visualize their results. Conclusions: The GRUPS kinship estimation method is now fully operational in its "GRUPS-rs" implementation, whose use is particularly recommended when analyzing a restricted number of low coverage DNA samples.

Bibliometric analysis of kinship analysis from 1960 to 2023: global trends and development.

Kinship analysis is a crucial aspect of forensic genetics. This study analyzed 1,222 publications on kinship analysis from 1960 to 2023 using bibliometric analysis techniques, investigating the annual publication and citation patterns, most productive countries, organizations, authors and journals, most cited documents and co-occurrence of keywords. The initial publication in this field occurred in 1960. Since 2007, there has been a significant increase in publications, with over 30 published annually except for 2010. China had the most publications (n = 213, 17.43%), followed by the United States (n = 175, 14.32%) and Germany (n = 89, 7.28%). The United States also had the highest citation count. Sichuan University in China has the largest number of published articles. The University of Leipzig and the University of Cologne in Germany exhibit the highest total citation count and average citation, respectively. Budowle B was the most prolific author and Kayser M was the most cited author. In terms of publications, Forensic Science International- Genetics, Forensic Science International, and International Journal of Legal Medicine were the most prolific journals. Among them, Forensic Science International-Genetics boasted the highest h-index, citation count, and average citation rate. The most frequently cited publication was "Van Oven M, 2009, Hum Mutat", with a total of 1,361 citations. The most frequent co-occurrence keyword included "DNA", "Loci", "Paternity testing", "Population", "Markers", and "Identification", with recent interest focusing on "Kinship analysis", "SNP" and "Inference". The current research is centered around microhaplotypes, forensic genetic genealogy, and massively parallel sequencing. The field advanced with new DNA analysis methods, tools, and genetic markers. Collaborative research among nations, organizations, and authors benefits idea exchange, problem-solving efficiency, and high-quality results.

Kinship analysis and pedigree reconstruction by RAD sequencing in cattle.

Kinship and pedigree, used for estimating inbreeding, heritability, selection, and gene flow, are useful for breeding and animal conservation. However, as the size of crossbred populations increases, inaccurate generation and parentage assignment in livestock farms increase. Restriction-site-associated DNA sequencing is a cost-effective platform for single nucleotide polymorphism (SNP) discovery and genotyping. Here, we performed a kinship analysis and pedigree reconstruction for Angus and Xiangxi yellow cattle. A total of 975 cattle, including 923 offspring with 24 known sires and 28 known dams, were sampled and subjected to SNP discovery and genotyping. The identified SNP panel included 7,305 SNPs capturing the maximum difference between paternal and maternal genome information, allowing us to distinguish F1 from F2 generations with 90% accuracy. In conclusion, we provided a low-cost and efficient SNP panel for kinship analyses and the improvement of local genetic resources, which are valuable for breed improvement, local resource utilization, and conservation.

Kinship analysis of mecA gene of methicillin-resistant Staphylococcus aureus isolated from milk and risk factors from the farmers in Blitar, Indonesia.

There are numerous reports of subclinical mastitis cases in Blitar, which is consistent with the region's high milk production and dairy cattle population. Staphylococcus aureus, which is often the cause of mastitis cases, is widely known because of its multidrug-resistant properties and resistance to β-lactam antibiotic class, especially the methicillin-resistant S. aureus (MRSA) strains. This study aimed to molecular detection and sequence analysis of the mecA gene in milk and farmer's hand swabs to show that dairy cattle are reservoirs of MRSA strains. A total of 113 milk samples and 39 farmers' hand swab samples were collected from a dairy farm for the isolation of S. aureus using Mannitol salt agar. The recovered isolates were further characterized using standard microbiological techniques. Isolates confirmed as S. aureus were tested for sensitivity to antibiotics. Oxacillin Resistance Screening Agar Base testing was used to confirm the presence of MRSA, whereas the mecA gene was detected by polymerase chain reaction and sequencing. A total of 101 samples were confirmed to be S. aureus. There were 2 S. aureus isolates that were multidrug-resistant and 14 S. aureus isolates that were MRSA. The mecA gene was detected in 4/14 (28.6%) phenotypically identified MRSA isolates. Kinship analysis showed identical results between mecA from milk and farmers' hand swabs. No visible nucleotide variation was observed in the two mecA sequences of isolates from Blitar, East Java. The spread of MRSA is a serious problem because the risk of zoonotic transmission can occur not only to people who are close to livestock in the workplace, such as dairy farm workers but also to the wider community through the food chain.

The Swiss Patrician Families between Decline and Persistence: Power Positions and Kinship Ties (1890–1957)

AbstractScholarship demonstrated the major role of inheritance and kinship for elite’s power reproduction, particularly among noble families. In the absence of monarchic and court structures, ruling classes that enjoyed privileges and engaged in social closure could become the functional equivalent of a nobility. In this paper, we examine the evolution of the power of Swiss patrician families in the three major Swiss cities (Basel, Geneva, and Zurich) since the end of the nineteenth century and assess whether urban oligarchies endure in the twentieth century and what role kinship ties play in the reproduction of power structures. Building on a systematic database of 5,199 urban elites who hold power positions in the main economic, political, academic, and cultural institutions, we describe the evolution of Swiss patrician families between 1890 and 1957. Using social network, kinship, and sequence analysis, we provide a comprehensive investigation of the Swiss patrician elite’s evolution at both the individual and the family level. Our analyses show a general decline of patrician families’ presence in urban positions of power, however with significant variations according to both the cities and the spheres of activity. Furthermore, we identify distinct trajectories of families who have either lost their access to power positions, managed to access again or have remained in urban power positions according to different survival strategies. Beyond the Swiss case, we contribute to the literature on power and kinship through an interdisciplinary approach combining historical and sociological perspectives.

A Systematic Approach for Interpreting Siblingship: A Pilot Study on Genetically Secluded Populations

Siblingship testing is a type of complex kinship analysis where individuals are compared to determine whether they are full siblings (share both parents) or half siblings (have one parent in common). This type of testing becomes required in human identification, forensic casework, or familial DNA search when neither parents nor any of the individual’s belongings are available. The degree of confidence in siblingship testing has always been under question. In this study, we probe a methodology for interpreting siblingship cases in inbred Lebanese communities by calculating the Likelihood Ratio (LR), following the standard methods, of 99 full-sibling pairs, 254 half-sibling pairs, and 22,473 non-sibling pairs. The accuracy, sensitivity, and specificity were tested using 15, 23, and 28 STR markers. The LR cutoffs were established to minimize uncertainty in siblingship testing within the Lebanese population. Yet, the exceptionally high LR values in non-sibling pairs, supporting relatedness, and on the other hand the very low LR in some true sibling pairs, supporting non-relatedness, suggested the application of a grey zone and the evaluation of shared alleles to infer siblingship between individuals in an inbred population with more confidence.

Application of the Investigator Argus X-12 QS Kit and the Famlinkx Software for Solving Complex Kinship Forensic Genetics Cases in Colombia: Case Report

X-chromosome short tandem repeats (X-STRs) genotyping is a powerful ¬tool in forensic genetics for resolving intricate kinship cases due to its distinctive inheritance pattern. It proves particularly valuable in scenarios where the application of autosomal (A-STR) and Y-chromosomal STR (Y-STR) markers falls short in addressing such cases, especially those involving complex situations and kinship analyses encompassing extensive and incomplete pedigrees. The recent advancement and implementation of the Argus X-12 QS kit along with the FamilinkX software for X-STR analysis have facilitated the resolution of forensic cases that were formerly inconclusive or not received by the laboratory due to their high complexity. This article delineates seven intricate cases of kinship and identification conducted at the Forensic Genetics Laboratory of the National Institute of Legal Medicine and Forensic Sciences in Bogotá, Colombia, in instances where autosomal STRs yielded non-conclusive or weak likelihood ratio (LR) values, the combination of the Argus X-12 QS kit and the FamilinkX software proved instrumental in elucidating and enhancing LR values, thereby leading to conclusive outcomes. The article details a case involving the confirmation of the identity of a body retrieved from water, which was subsequently returned to the institute by its relatives for identification. It also encompasses cases involving maternal half-siblings, complex pedigrees with paternal half-aunts, and others. In each scenario, the total LR was estimated by combining the LR of autosomal STRs (LR AS-STR) with the LR of X-STRs (LR X-STR), utilizing the population frequency database specific to Colombia. Additionally, the LRs of X-STRs obtained using population frequency data from Colombia were compared with those from Mexico. The data derived from both the Mexican and Colombian populations exhibited a high degree of similarity. The collective LR values substantiate the efficacy of X-STR markers, particularly in resolving cases of maternal half-siblings. The analysis underscores the robust informativeness of the 12 X-STR loci examined in the context of forensic testing

Y chromosome haplogroup N in a Japanese population is classified into three subclades, and two DYS385 loci, a duplicated Y-STR, are duplicated again in subclade N-M1819

DYS385 is one of the major Y chromosome short tandem repeats (Y-STRs) in forensic genetics and exists as 2 copies in the human Y chromosome palindrome P4 region. In this study, we found that some samples were estimated to have ≥ 4 copies of DYS385 in Y chromosome haplogroup N in a Japanese population. Y chromosome haplogroup N is distributed widely in eastern/central Asia, Siberia, and eastern/northern Europe, and is also observed in Japan; however, little is known about haplogroup N subclades in the Japanese population. To reveal the link between increased DYS385 copy number and haplogroup N subclades, we sequenced single nucleotide polymorphisms to classify the subclades. As a result, the Japanese Y chromosomes of haplogroup N were classified into three subclades, and an increased DYS385 copy number was specific to subclade N-M1819* (N1b2*). These results are of use in forensic DNA analysis because Y-STR copy number is important for the interpretation of Y-STR typing results of male DNA mixtures and kinship analysis. We also found that DYS458.1 microvariants (DYS458 intermediate alleles with single-nucleotide insertion) were observed only in subclade N-CTS962 (N1b1b∼) samples. Given that previous studies reported that DYS458.1 microvariants are observed in Y chromosomes of haplogroup N in other populations, DYS458.1 might be used to infer haplogroup N subclades without limitation to the Japanese population. The results of this study will be beneficial not only to forensic genetics but also to anthropological studies.

Domestication through clandestine cultivation constrained genetic diversity in magic mushrooms relative to naturalized populations

Fungi that are edible or fermentative were domesticated through selective cultivation of their desired traits. Domestication is often associated with inbreeding or selfing, which may fix traits other than those under selection, and causes an overall decrease in heterozygosity. A hallucinogenic mushroom, Psilocybe cubensis, was domesticated from its niche in livestock dung for production of psilocybin. It has caused accidental poisonings since the 1940s in Australia, which is a population hypothesized to be introduced from an unknown center of origin. We sequenced genomes of 38 isolates from Australia and compared them with 86 genomes of commercially available cultivars to determine (1) whether P.cubensis was introduced to Australia, and (2) how domestication has impacted commercial cultivars. Our analyses of genome-wide SNPs and single-copy orthologs showed that the Australian population is naturalized, having recovered its effective population size after a bottleneck when it was introduced, and it has maintained relatively high genetic diversity based on measures of nucleotide and allelic diversity. In contrast, domesticated cultivars generally have low effective population sizes and hallmarks of selfing and clonal propagation, including low genetic diversity, low heterozygosity, high linkage disequilibrium, and low allelic diversity of mating-compatibility genes. Analyses of kinship show that most cultivars are founded from related populations. Alleles in the psilocybin gene cluster are identical across most cultivars of P.cubensis with low diversity across coding sequence; however, unique allelic diversity in Australia and some cultivars may translate to differences in biosynthesis of psilocybin and its analogs.

A deep neural network model for paternity testing based on 15-loci STR for Iraqi families

Abstract Paternity testing using a deoxyribose nucleic acid (DNA) profile is an essential branch of forensic science, and DNA short tandem repeat (STR) is usually used for this purpose. Nowadays, in third-world countries, conventional kinship analysis techniques used in forensic investigations result in inadequate accuracy measurements, especially when dealing with large human STR datasets; they compare human profiles manually so that the number of samples is limited due to the required human efforts and time consumption. By utilizing automation made possible by AI, forensic investigations are conducted more efficiently, saving both time conception and cost. In this article, we propose a new algorithm for predicting paternity based on the 15-loci STR-DNA datasets using a deep neural network (DNN), where comparisons among many human profiles are held regardless of the limitation of the number of samples. For the purpose of paternity testing, familial data are artificially created based on the real data of individual Iraqi people from Al-Najaf province. Such action helps to overcome the shortage of Iraqi data due to restricted policies and the secrecy of familial datasets. About 53,530 datasets are used in the proposed DNN model for the purpose of training and testing. The Keras library based on Python is used to implement and test the proposed system, as well as the confusion matrix and receiver operating characteristic curve for system evaluation. The system shows excellent accuracy of 99.6% in paternity tests, which is the highest accuracy compared to the existing works. This system shows a good attempt at testing paternity based on a technique of artificial intelligence.

Genome-wide association study of fiber yield-related traits uncovers the novel genomic regions and candidate genes in Indian upland cotton (Gossypium hirsutum L.).

Upland cotton (Gossypium hirsutum L.) is a major fiber crop that is cultivated worldwide and has significant economic importance. India harbors the largest area for cotton cultivation, but its fiber yield is still compromised and ranks 22nd in terms of productivity. Genetic improvement of cotton fiber yield traits is one of the major goals of cotton breeding, but the understanding of the genetic architecture underlying cotton fiber yield traits remains limited and unclear. To better decipher the genetic variation associated with fiber yield traits, we conducted a comprehensive genome-wide association mapping study using 117 Indian cotton germplasm for six yield-related traits. To accomplish this, we generated 2,41,086 high-quality single nucleotide polymorphism (SNP) markers using genotyping-by-sequencing (GBS) methods. Population structure, PCA, kinship, and phylogenetic analyses divided the germplasm into two sub-populations, showing weak relatedness among the germplasms. Through association analysis, 205 SNPs and 134 QTLs were identified to be significantly associated with the six fiber yield traits. In total, 39 novel QTLs were identified in the current study, whereas 95 QTLs overlapped with existing public domain data in a comparative analysis. Eight QTLs, qGhBN_SCY_D6-1, qGhBN_SCY_D6-2, qGhBN_SCY_D6-3, qGhSI_LI_A5, qGhLI_SI_A13, qGhLI_SI_D9, qGhBW_SCY_A10, and qGhLP_BN_A8 were identified. Gene annotation of these fiber yield QTLs revealed 2,509 unique genes. These genes were predominantly enriched for different biological processes, such as plant cell wall synthesis, nutrient metabolism, and vegetative growth development in the gene ontology (GO) enrichment study. Furthermore, gene expression analysis using RNAseq data from 12 diverse cotton tissues identified 40 candidate genes (23 stable and 17 novel genes) to be transcriptionally active in different stages of fiber, ovule, and seed development. These findings have revealed a rich tapestry of genetic elements, including SNPs, QTLs, and candidate genes, and may have a high potential for improving fiber yield in future breeding programs for Indian cotton.

Ancestry and kinship in a Late Antiquity-Early Middle Ages cemetery in the Eastern Italian Alps

In South Tyrol (Eastern Italian Alps), during Late Antiquity-Early Middle Ages, archeological records indicate cultural hybridization among alpine groups and peoples of various origin. Using paleogenomics, we reconstructed the ancestry of 20 individuals (4th-7th cent. AD) from a cemetery to analyze whether they had heterogeneous or homogeneous ancestry and to study their social organization. The results revealed a primary genetic ancestry from southern Europe and additional ancestries from south-western, western, and northern Europe, suggesting that cultural hybridization was accompanied by complex genetic admixture. Kinship analyses found no genetic relatedness between the only two individuals buried with grave goods. Instead, a father-son pair was discovered in one multiple grave, together with unrelated individuals and one possible non-local female. These genetic findings indicate the presence of a high social status familia, which is supported by the cultural materials and the proximity of the grave to the most sacred area of the church.

Success rate of rapid DNA technology in kinship analysis for forensic purpose.

Reducing the time required for DNA analysis in forensic genetics can yield significant benefits, both in determining genealogical relationships for legal proceedings and in criminal cases. Swift identification of individuals plays a pivotal role in solving crimes and apprehending perpetrators. Additionally, in situations like mass disasters, prompt victim identification holds utmost importance. The Rapid DNA technology, introduced in 2012 to expedite DNA analysis, has evolved to streamline the process into a single step. This advancement not only minimizes the risk of human error and contamination, but also boasts a remarkable time advantage, delivering results in as little as 90min. In this study, DNA profiles of 30 families (consisting of mothers, fathers, and children) were analyzed using the RapidHITTM ID System. The system automatically calculated maternity-paternity probabilities to assess the suitability of Rapid DNA technology for kinship analysis. For validation, DNA profiles were also generated using the 3500 GA method. The study revealed that 9 out of 30 families exhibited discrepancies in DNA profiling, leading to inaccuracies in automatic kinship analysis. Consequently, while the method offers rapid and user-friendly advantages for forensic sciences, the software underlying the system requires re-evaluation. Issues such as maternal-paternal exclusion in kinship analyses, arising from challenges like un-called alleles, warrant further attention.