Potentials and limits of pairwise kinship analysis using autosomal short tandem repeat loci

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.

Forensic Applications of Markers Present on the X Chromosome

Microsatellite genetic markers are the gold standard for human genetic identification. Forensic analyses around the world are carried out through protocols using the analysis of STR markers in autosomal chromosomes and in the Y chromosome to solve crimes. However, these analyses do not allow for the resolution of all cases, such as rape situations with suspicion of incest, paternity without a maternal sample for comparison, and biological traces with DNA mixture where the profile sought is female, among other situations. In these complex cases, the study of X-chromosome STR markers significantly increases the probability of identification by complementing the data obtained for autosomal and Y-chromosome markers, due to the unique structure of the X chromosome and its exclusive method of inheritance. However, there are currently no validated Brazilian protocols for this purpose, nor are there any population data necessary for statistical analyses that must be included in the issuance of expert reports. Thus, the aim of this article is to provide a literary review of the applications of X-chromosomal markers in population genetics.

Expanding the Swiss autosomal marker set to 32 STRs

By genotyping 1198 individuals with the Qiagen Investigator® HDplex Kit, we expand the Swiss autosomal STR dataset to 32 loci, providing additional resources for complex kinship cases. We present the first high-quality allele frequency dataset for loci D2S1360, D5S2500, D7S1517, and D10S2325 that will be accessible through the ENFSI reference database STRidER. For loci D3S1744, D4S2366, D6S474, D8S1132, and D21S2055, we provide a first European STRidER dataset.

Linkage and linkage disequilibrium among the markers in the forensic MPS panels

For the past two to three decades, forensic DNA evidence has been analyzed with a limited number of short tandem repeats (STRs), and these STRs are usually assumed to be independent for statistical calculations. With the development and implementation of the MPS technologies, more autosomal markers, both single nucleotide polymorphisms (SNPs) and STRs, can be analyzed. A number of these markers are physically very close to each other, and it may not be appropriate to assume all these markers are genetically unlinked or in linkage equilibrium. In this study, publicly accessible genomic data from five representative populations were used to evaluate the genetic linkage and linkage disequilibrium (LD) between autosomal markers represented in six major commercial panels (in total, 362 markers). Among the 3041 syntenic marker pairs, 1524 pairs had sex-average genetic distances <50 cM, and thus, these marker pairs can be considered as genetically linked. Among the 143 marker pairs with physical distances <1 Mb, 19 LD haplotype blocks (comprising 39 SNPs in total) were detected for at least one of the tested populations. Statistical methods for interpreting linked markers and/or markers in LD were suggested for various case scenarios.

Comparative evaluation of autosomal STRs and X-chromosome STRs as a complement of autosomal STRs in kinship testing in Southern Han Chinese

Nowadays, kinship testing is very common in forensic caseworks, but the power of autosomal short tandem repeats (A-STRs) may be limited in complex cases. X-Chromosome short tandem repeats (X-STRs), having a unique heritage mode, should be of special use in some deficient cases. To evaluate and compare the potential of A-STR and X-STR as supplement genetic markers in deficient kinship testing, we simulated 10,000 duos for each of 18 kinds of relationships involving full sibling, half-sibling, grandparent-grandchild, and uncle/aunt-nephew/niece. Loci from STRTyper10, PowerPlex 16, and Investigator Argus X-12 were studied in Southern Han Chinese and the distribution of likelihood ratio (LR) values was analysed. With the addition of the X-12 system, the distribution of LR values for the full sisters, paternal half-sisters, paternal grandmother-granddaughters, maternal aunt-nieces, and maternal aunt-nephews separated much more obviously from those of unrelated duos, and the effectiveness was 1.0000, 0.99865, 0.9991, 0.8996 and 0.9634, respectively, which was more efficient than A-STRs. For the individual duos with other relationships, the effects of adding X-STRs and A-STRs were similar. Therefore, for the Southern Han Chinese, X-STRs can be very useful in kinship testing involving full sisters, paternal half-sisters, paternal grandmother-granddaughters, and maternal aunt-nieces/nephews.

Pairwise relatedness testing in the context of inbreeding: expectation and variance of the likelihood ratio

In this paper we investigate various effects of inbreeding on the likelihood ratio (LR) in forensic kinship testing. The basic setup of such testing involves formulating two competing hypotheses, in the form of pedigrees, describing the relationship between the individuals. The likelihood of each hypothesis is computed given the available genetic data, and a conclusion is reached if the ratio of these exceeds some pre-determined threshold. An important aspect of this approach is that the hypotheses are usually not exhaustive: The true relationship may differ from both of the stated pedigrees. It is well known that this may introduce bias in the test results. Previous work has established formulas for the expected value and variance of the LR, given the two competing hypotheses and the true relationship. However, the proposed method only handles cases without inbreeding. In this paper we extend these results to all possible pairwise relationships. The key ingredient is formulating the hypotheses in terms of Jacquard coefficients instead of the more restricted Cotterman coefficients. While the latter describe the relatedness between outbred individuals, the more general Jacquard coefficients allow any level of inbreeding. Our approach also enables scrutiny of another frequently overlooked source of LR bias, namely background inbreeding. This ubiquitous phenomenon is usually ignored in forensic kinship computations, due to lack of adequate methods and software. By leveraging recent work on pedigrees with inbred founders, we show how background inbreeding can be modeled as a continuous variable, providing easy-to-interpret results in specific cases. For example, we show that if true siblings are subjected to a test for parent-offspring, moderate levels of background inbreeding are expected to inflate the LR by more than 50%.

Population-scale whole genome sequencing identifies 271 highly polymorphic short tandem repeats from Japanese population

Forensic DNA typing is widely used to identify missing persons and plays a central role in forensic profiling. DNA typing usually uses capillary electrophoresis fragment analysis of PCR amplification products to detect the length of short tandem repeat (STR) markers. Here, we analyzed whole genome data from 1,070 Japanese individuals generated using massively parallel short-read sequencing of 162 paired-end bases. We have analyzed 843,473 STR loci with two to six basepair repeat units and cataloged highly polymorphic STR loci in the Japanese population. To evaluate the performance of the cataloged STR loci, we compared 23 STR loci, widely used in forensic DNA typing, with capillary electrophoresis based STR genotyping results in the Japanese population. Seventeen loci had high correlations and high call rates. The other six loci had low call rates or low correlations due to either the limitations of short-read sequencing technology, the bioinformatics tool used, or the complexity of repeat patterns. With these analyses, we have also purified the suitable 218 STR loci with four basepair repeat units and 53 loci with five basepair repeat units both for short read sequencing and PCR based technologies, which would be candidates to the actual forensic DNA typing in Japanese population.

Analysis of linkage and linkage disequilibrium for syntenic STRs on 12 chromosomes

The purpose of this study is to evaluate allelic association and linkage of 18 adjacent syntenic short tandem repeat (STR) pairs form out of 30 markers located on 12 different autosomes. Linkage disequilibrium was tested by using the unknown gametic phase genotypes and phased haplotypes from 290 unrelated individuals from Chinese Han population. Genetic linkage analysis between syntenic STRs was performed based on 145 two-generation families which involved 628 meioses. The results showed no significant linkage disequilibrium at any STR pairs and independent inheritance between syntenic STR pairs was indicated. Significant linkage (maximum logarithm of odd (LOD) scores >3.0) was found in 6 out of the 18 adjacent syntenic STR pairs (D1S1627-D1S1677, CSF1PO-D5S818, D6S1017-D6S1043, D6S1043-D6S474, D12S391-vWA, and D19S253-D19S433). These significant linkage marker pairs had a genetic distance ranged from 11.94 to 41.33 cM deduced from HapMap. When recombination fractions determined in families were compared to those derived from Kosambi mapping function based on HapMap data, the latter may have an overestimation. In summary, our results demonstrated that product rule included syntenic STRs can be used for unrelated individual profile probability and the recombination fraction based on family data was superior to the estimation from HapMap for kinship analysis.

Investigation of paternity with alleged father deceased or missing: analysis of success at the end of the report

In this work we present a retrospective study of 858 cases of paternity investigation performed in Rio Grande do Sul, Southern Brazil, from 2007 to 2012, where the alleged father was deceased or missing. These cases represent 3.3% (858/26187) of paternity tests performed in that period. Considering the analysis of 17 DNA short tandem repeat loci, we present here the proportion of cases with conclusive results according to the number of relatives of the unavailable alleged father investigated and their kinship. The results show 81.0% (695/858) of cases with conclusive results and their characteristics.

Exact computation of the distribution of likelihood ratios with forensic applications

If complex DNA profiles, conditioned on multiple individuals are evaluated, it may be difficult to assess the strength of the evidence based on the likelihood ratio. A likelihood ratio does not give information about the relative weights that are provided by separate contributors. Alternatively, the observed likelihood ratio can be evaluated with respect to the distribution of the likelihood ratio under the defense hypothesis. We present an efficient algorithm to compute an exact distribution of likelihood ratios that can be applied to any LR-based model. The distribution may have several applications, but is used here to compute a p-value that corresponds to the observed likelihood ratio. The p-value is the probability that a profile under the defense hypothesis, substituted for a questioned contributor e.g. suspect, would attain a likelihood ratio which is at least the same magnitude as that observed. The p-value can be thought of as a scaled version of the likelihood ratio, giving a quantitative measure of the strength of the evidence relative to the specified hypotheses and the model used for the analysis. The algorithm is demonstrated on examples based on real data. R code for the algorithm is freely available in the R package euroMix.

A 27-locus STR assay to meet all United States and European law enforcement agency standards

Different national and international agencies have selected specific STR sets for forensic database use. To enhance database comparison across national and international borders, a 27-locus multiplex system was developed comprising all 15 STR loci of the European standard set, the current 13 STR loci of the CODIS core, the proposed 22 STR loci of the expanded CODIS core, 4 additional commonly used STR loci, and the amelogenin locus. Development required iterative primer design to resolve primer-related artifacts, amplicon sizing, and locus-to-locus balance issues. The 19.5-min assay incorporated newly developed six-dye chemistry analyzed using a novel microfluidic electrophoresis instrument capable of simultaneous detection and discrimination of 8 or more fluorescent dyes. The 27-locus multiplex offers the potential for a new international STR standard permitting laboratories in any jurisdiction to use a single reaction to determine profiles for loci they typically generate plus an expanded common STR profiling set of global interest.

Comparative evaluation of alternative batteries of genetic markers to complement autosomal STRs in kinship investigations: autosomal indels vs. X-chromosome STRs

Kinship investigations such as paternity are currently solved using sets of (commercially available) highly polymorphic autosomal short tandem repeats (STRs), which lead to powerful likelihood ratios (LR). Still, some difficult cases arise whenever the kinship is much more remote or if the alternative hypotheses are not correctly formulated due to the lack of information (for e.g. there is an unknown relationship between the alleged and the true fathers). In these situations, beyond the routinely used marker set, laboratories usually enlarge the number and/or the type of markers analysed. Among these, autosomal indels and X-chromosome STRs have gained popularity. The aim of this study was to compare the results obtained after complementing an initial set of autosomal STRs with indels or with X-chromosome-specific STRs in simulated paternity cases where the alleged father is a close relative of the real one. Results show that in paternity cases where a low number of incompatibilities are observed, the best strategy is to increase the number of autosomal STRs under analysis. Nevertheless, if these are not available, our study globally shows that in father-daughter duos, a set of 12 X-STRs is more advantageous than 38 highly diverse autosomal biallelic markers. Additionally, the usefulness of X-STRs was also evaluated in cases where only a close relative of the alleged parent (father or mother) is available for testing. For those situations where these markers have the power to exclude, strong LR values are obtained. In the remaining cases, LRs are usually weak and sometimes the results are more likely under the wrong kinship hypothesis.

Evaluation of the allele-sharing approach, known as the IBS method, in kinship analysis

To infer relatedness from genetic data based on short tandem repeats, the exact method, in which shared allele frequencies are applied to relevant equations, has been conventionally used. An alternative approach is the IBS method that is based on the number of shared alleles between individuals. In the present study, the performance of the IBS method in pairwise kinship analysis was compared with the exact method using simulated data of 10,000 genotype pairs for 15 loci in the ABI Identifiler system. The likelihood ratio in allele-sharing of zero, one and two was calculated from joint probabilities based on allele frequencies of the Japanese population. Whereas the IBS method generally produced lower values of combined indices, smaller deviations of the distributions were evident. The threshold for identification of full siblings relative to non-relatives was comparable with that of the exact method, indicating that both inference powers were almost identical. The likelihood ratio in the IBS method depends on the heterozygosity at a locus, and heterozygosities of the 15 loci were consistent across various population groups, particularly in East Asians. The convenience of fixed LR values in the IBS method is beneficial for cases with uncertain allele frequencies and rare alleles.

Kinship Analysis with Diallelic SNPs - Experiences with the SNPforID Multiplex in an ISO17025 Accreditated Laboratory

BACKGROUND: The mutation rate of single nucleotide polymorphisms (SNPs) is estimated to be 100,000 times lower than that of short tandem repeats (STRs), which makes SNPs very suitable for relationship testing. The SNPforID multiplex assay was the first SNP typing assay that was a real alternative to the commonly used STR kits in kinship and crime case work and the first SNP assay to be validated in a forensic laboratory accredited according to the ISO17025 standard. METHODS: A total of 54 crime case samples were typed with the SNPforID multiplex assay. 30 samples from relationship cases were sequenced in selected SNP loci. RESULTS: It was demonstrated that mixtures were easily detected with the SNPforID assay by analyzing the signal strengths of the detected alleles. Unusual imbalances in signal strengths that were observed in a few individuals could be explained by unexpected SNPs in one of the primer binding sites. A complicated relationship case with four closely related individuals is presented. CONCLUSION: Mixtures can be detected with bi-allelic SNPs. The SNPforID assay is a very useful supplement to the STR kits in relationship testing.

SNPs as Supplements in Simple Kinship Analysis or as Core Markers in Distant Pairwise Relationship Tests: When Do SNPs Add Value or Replace Well-Established and Powerful STR Tests?

BACKGROUND: Genetic tests for kinship testing routinely reach likelihoods that provide virtual proof of the claimed relationship by typing microsatellites-commonly consisting of 12-15 standard forensic short tandem repeats (STRs). Single nucleotide polymorphisms (SNPs) have also been applied to kinship testing but these binary markers are required in greater numbers than multiple-allele STRs. However SNPs offer certain advantageous characteristics not found in STRs, including, much higher mutational stability, good performance typing highly degraded DNA, and the ability to be readily up-scaled to very high marker numbers reaching over a million loci. This article outlines kinship testing applications where SNPs markedly improve the genetic data obtained. In particular we explore the minimum number of SNPs that will be required to confirm pairwise relationship claims in deficient pedigrees that typify missing persons' identification or war grave investigations where commonly few surviving relatives are available for comparison and the DNA is highly degraded. METHODS: We describe the application of SNPs alongside STRs when incomplete profiles or allelic instability in STRs create ambiguous results, we review the use of high density SNP arrays when the relationship claim is very distant, and we outline simulations of kinship analyses with STRs supplemented with SNPs in order to estimate the practical limit of pairwise relationships that can be differentiated from random unrelated pairs from the same population. RESULTS: The minimum number of SNPs for robust statistical inference of parent-offspring relationships through to those of second cousins (S-3-3) is estimated for both simple, single multiplex SNP sets and for subsets of million-SNP arrays. CONCLUSIONS: There is considerable scope for resolving ambiguous STR results and for improving the statistical power of kinship analysis by adding small-scale SNP sets but where the pedigree is deficient the pairwise relationships must be relatively close. For more distant relationships it is possible to reduce chip-based SNP arrays from the million+ markers down to ∼7,000. However, such numbers indicate that current genotyping approaches will not be able to deliver sufficient data to resolve distant pairwise relationships from the limited DNA typical of the most challenging identification cases.

The recombination landscape around forensic STRs: Accurate measurement of genetic distances between syntenic STR pairs using HapMap high density SNP data

Family studies can be used to measure the genetic distance between same-chromosome (syntenic) STRs in order to detect physical linkage or linkage disequilibrium. However, family studies are expensive and time consuming, in many cases uninformative, and lack a reliable means to infer the phase of the diplotypes obtained. HapMap provides a more comprehensive and fine-scale estimation of recombination rates using high density multi-point SNP data (average inter-SNP distance: 900 nucleotides). Data at this fine scale detects sub-kilobase genetic distances across the whole recombining human genome. We have used the most recent HapMap SNP data release 22 to measure and compare genetic distances, and by inference fine-scale recombination rates, between 29 syntenic STR pairs identified from 39 validated STRs currently available for forensic use. The 39 STRs comprise 23 core loci: SE33, Penta D & E, 13 CODIS and 7 non-CODIS European Standard Set STRs, plus supplementary STRs in the recently released Promega CS-7™ and Qiagen Investigator HDplex™ kits. Also included were D9S1120, a marker we developed for forensic use unique to chromosome 9, and the novel D6S1043 component STR of SinoFiler™ (Applied Biosystems). The data collated provides reliable estimates of recombination rates between each STR pair, that can then be placed into haplotype frequency calculators for short pedigrees with multiple meiotic inputs and which just requires the addition of allele frequencies. This allows all current STR sets or their combinations to be used in supplemented paternity analyses without the need for further adjustment for physical linkage. The detailed analysis of recombination rates made for autosomal forensic STRs was extended to the more than 50 X chromosome STRs established or in development for complex kinship analyses.

Reinvestigations of six unusual paternity cases by typing of autosomal single-nucleotide polymorphisms

BACKGROUND

In some relationship cases, the initial investigations of autosomal short tandem repeats (STRs) lead to an ambiguous conclusion and supplementary investigations become necessary.

STUDY DESIGN AND METHODS

Six unusual paternity cases were previously investigated by other researchers and published as case work examples in forensic journals. Here, the cases were reinvestigated by typing the samples for 49 autosomal single-nucleotide polymorphisms (SNPs) using the SNPforID multiplex assay.

RESULTS

Three cases were solved by the SNP investigation without the need for any additional testing. In two cases, the SNP results supported the conclusions based on STRs. In the last case, the SNP results spoke in favor of paternity, and the combined paternity index based on autosomal STRs and SNPs was 12.3 billion. Nevertheless, the alleged father was excluded by X-chromosome typing.

CONCLUSION

The case work examples underline the importance of performing supplementary investigations, and they advocate for the implementation of several panels that may be used in the highly unusual cases. Panels with SNPs or other markers with low mutation probabilities are preferable as supplementary markers, because the risk of detecting (additional) mutations is very low.

A general method to assess the utility of the X-chromosomal markers in kinship testing

In studies involving pedigree reconstruction and kinship estimation, it is acknowledged that some pedigrees have the same algebraic expressions for the joint genotypic probabilities and are, therefore, indistinguishable when considering only genetic information, no matter what the mode of transmission considered. Indeed, although standard forensic practice considers solely unlinked autosomal markers, the existence of pedigrees with the referred theoretical property (that are then said to belong to the same kinship class) is possible when considering any kind of genetic transmission. The research on genetic relatedness has always been linked to the root concept of identity-by-descent (IBD). However, although the basic theoretical core for autosomal transmission has been long formalised, a general method allowing the decision if two pedigrees linking two non-inbred individuals are distinguishable using unlinked autosomal markers along with the respective IBD partitions (and consequently the algebraic expressions for the joint genotypic probabilities) was only recently published. In this work X-chromosomal transmission will be at stake, considering that the analytical framework for X-chromosomal markers has been recently established and the importance of X-chromosome markers for these questions has been steadily growing, particularly in forensics, as a tool both to complement the information given by autosomes in complex kinship testing cases and to differentiate pedigrees belonging to the same autosomal kinship class. Therefore, here it will be presented a formal and mathematically well supported framework where a general counting rule is given, allowing a secure and expeditious decision on the usefulness of typing (unlinked) X-chromosomal markers on pairwise kinship testing involving two non-inbred individuals. Moreover the counting rule now presented allows the derivation of algebraic expressions for the joint genotypic probabilities associated with any pedigree.