Allowing for within-subpopulation inbreeding in forensic match probabilities

Review: Wildlife forensic genetics-Biological evidence, DNA markers, analytical approaches, and challenges

Wildlife-related crimes are the second most prevalent lawbreaking offense globally. This illicit trade encompasses hunting, breeding and trafficking. Besides diminishing many species and their habitats and ecosystems, hindering the economic development of local communities that depend on them, undermining the rule of law and financing terrorism, various cross-species transmissions (zoonoses) of pathogens, including COVID-19, can be attributed to wildlife crimes. Wildlife forensics applies interdisciplinary scientific analyses to support law enforcement in investigating wildlife crimes. Its main objectives are to identify the taxonomic species in question, determine if a crime has been committed, link a suspect to the crime and support the conviction and prosecution of the perpetrator. This article reviews wildlife crime and its implications, wildlife forensic science investigation, common forms of wildlife biological evidence, including DNA, wildlife DNA techniques and challenges in wildlife forensic genetics. The article also reviews the contributions of genetic markers such as short tandem repeat (STR) and mitochondrial DNA (mtDNA) markers, which provide the probative genetic data representing the bulk of DNA evidence for solving wildlife crime. This review provides an overview of wildlife DNA databases, which are critical for searching and matching forensic DNA profiles and sequences and establishing how frequent forensic DNA profiles and sequences are in a particular population or geographic region. As such, this review will contain an in-depth analysis of the current status of wildlife forensic genetics, and it will be of general interest to wildlife and conservation biologists, law enforcement officers, and academics interested in combating crimes against wildlife using animal forensic DNA methods.

DNA databases of an important tropical timber tree species Shorea leprosula (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.

DNA databases of a CITES listed species Aquilaria malaccensis (Thymelaeaceae) as the tracking tools for forensic identification and chain of custody certification

Aquilaria malaccensis (Thymelaeaceae) is the main source of high-grade agarwood in Southeast Asia. Aggressive collections and trade activities over the past decades have put great pressure on the natural stands and raised concerns over the long-term survival potential of A. malaccensis. Tracking and authentication of agarwood require method with a high degree of accuracy. Therefore, this study aimed to develop DNA databases of A. malaccensis as the tracking tools at species, population and individual levels for forensic identification and chain of custody certification. Using two cpDNA (rbcL and matK) and an rDNA (ITS2) markers, species identification database of Aquilaria was developed to distinguish A. malaccensis from A. hirta, A. microcarpa, A. beccariana, A. crassna, A. sinensis and A. rostrata. In addition, based on 35 populations of A. malaccensis throughout Peninsular Malaysia, cpDNA haplotype and STR allele frequency databases were developed for population and individual identification. A haplotype distribution map based on 29 haplotypes derived from seven cpDNA showed that the A. malaccensis in Peninsular Malaysia can be associated to Kedah-Perak and Kelantan-Johor regions. Similarly, genetic relatedness and Bayesian clustering analyses based on 10 STR markers also divided the 35 populations into two main genetic clusters, corresponding to Kedah-Perak and Kelantan-Johor regions. The STR allele frequency databases were established and characterized according to these two regions. To determine the performance of the STR allele frequency databases for population identification, independent self-assignment tests showed that the percentage of individuals correctly assigned into the origin population was 93.88% in Kedah-Perak and 90.29% in Kelantan-Johor. For the STR allele frequency databases to be used for individual identification, conservativeness tests showed that the θ should be adjusted to 0.250 and 0.200 in the Kedah-Perak and Kelantan-Johor databases, respectively. To ensure consistency in allele calling for the dinucleotide repeat loci across different electrophoretic platforms or laboratories, allelic ladders have been developed for the 10 STR loci. Two case studies are presented of how these databases were used to track A. malaccensis to the origin population and stump. These databases are ready to be used to provide admissible forensic evidence for legal proceedings against the illegal harvesters of agarwood and for agarwood certification to meet the consumer country regulations.

Useful autosomal STR marker sets for forensic and paternity applications in the Central Indian population

BACKGROUND

Many countries have developed their core set of STR loci for forensic application and database generation, which India lacks.

AIM

To assess the usefulness of various combinations of autosomal STR marker sets for their superior use in the central Indian population for forensic and paternity applications.

SUBJECTS AND METHODS

19 STR marker sets were analysed on 200 central Indian populations and 20 paternity cases to assess their usefulness.

RESULTS

Two marker sets each comprising 19 STR markers are found to be superior to 20 expanded CODIS loci in the studied population. These marker sets also showed their effectiveness in 20 paternity cases having CPI values of 7.62 × 10¹¹ and 7.16 × 10¹¹. Three non-CODIS STR markers Penta E, Penta D, and SE33 showed amplification in 50 challenging samples with >0.80 heterozygosity.

CONCLUSION

Population-specific STR marker sets are useful in forensic and paternity applications, as well as database generation, and it is envisioned that Penta E, Penta D, and SE33 markers will be included in the list of core STR loci in the central Indian population.

A geographical traceability system for Merbau (Intsia palembanica Miq.), an important timber species from peninsular Malaysia

To inform product users about the origin of timber, the implementation of a traceability system is necessary for the forestry industry. In this study, we developed a comprehensive genetic database for the important tropical timber species Merbau, Intsia palembanica, to trace its geographic origin within peninsular Malaysia. A total of 1373 individual trees representing 39 geographically distinct populations of I. palembanica were sampled throughout peninsular Malaysia. We analyzed the samples using a combination of four chloroplast DNA (cpDNA) markers and 14 short tandem repeat (STR) markers to establish both cpDNA haplotype and STR allele frequency databases. A haplotype map was generated through cpDNA sequencing for population identification, resulting in six unique haplotypes based on 10 informative intraspecifically variable sites. Subsequently, an STR allele frequency database was developed from 14 STRs allowing individual identification. Bayesian cluster analysis divided the individuals into two genetic clusters corresponding to the northern and southern regions of peninsular Malaysia. Tests of conservativeness showed that the databases were conservative after the adjustment of the θ values to 0.2000 and 0.2900 for the northern (f = 0.0163) and southern (f = 0.0285) regions, respectively. Using self-assignment tests, we observed that individuals were correctly assigned to populations at rates of 40.54-94.12% and to the identified regions at rates of 79.80-80.62%. Both the cpDNA and STR markers appear to be useful for tracking Merbau timber originating from peninsular Malaysia. The use of these forensic tools in addition to the existing paper-based timber tracking system will help to verify the legality of the origin of I. palembanica and to combat illegal logging issues associated with the species.

Geographic origin and individual assignment of Shorea platyclados (Dipterocarpaceae) for forensic identification

The development of timber tracking methods based on genetic markers can provide scientific evidence to verify the origin of timber products and fulfill the growing requirement for sustainable forestry practices. In this study, the origin of an important Dark Red Meranti wood, Shorea platyclados, was studied by using the combination of seven chloroplast DNA and 15 short tandem repeats (STRs) markers. A total of 27 natural populations of S. platyclados were sampled throughout Malaysia to establish population level and individual level identification databases. A haplotype map was generated from chloroplast DNA sequencing for population identification, resulting in 29 multilocus haplotypes, based on 39 informative intraspecific variable sites. Subsequently, a DNA profiling database was developed from 15 STRs allowing for individual identification in Malaysia. Cluster analysis divided the 27 populations into two genetic clusters, corresponding to the region of Eastern and Western Malaysia. The conservativeness tests showed that the Malaysia database is conservative after removal of bias from population subdivision and sampling effects. Independent self-assignment tests correctly assigned individuals to the database in an overall 60.60−94.95% of cases for identified populations, and in 98.99−99.23% of cases for identified regions. Both the chloroplast DNA database and the STRs appear to be useful for tracking timber originating in Malaysia. Hence, this DNA-based method could serve as an effective addition tool to the existing forensic timber identification system for ensuring the sustainably management of this species into the future.

Forensic genetic analyses in isolated populations with examples of central European Valachs and Roma

Isolated populations present a constant threat to the correctness of forensic genetic casework. In this review article we present several examples of how analyzing samples from isolated populations can bias the results of the forensic statistics and analyses. We select our examples from isolated populations from central and southeastern Europe, namely the Valachs and the European Roma. We also provide the reader with general strategies and principles to improve the laboratory practice (best practice) and reporting of samples from supposedly isolated populations. These include reporting the precise population data used for computing the forensic statistics, using the appropriate θ correction factor for calculating allele frequencies, typing ancestry informative markers in samples of unknown or uncertain ethnicity and establishing ethnic-specific forensic databases.

Forensic timber identification: a case study of a CITES listed species, Gonystylus bancanus (Thymelaeaceae)

Illegal logging and smuggling of Gonystylus bancanus (Thymelaeaceae) poses a serious threat to this fragile valuable peat swamp timber species. Using G. bancanus as a case study, DNA markers were used to develop identification databases at the species, population and individual level. The species level database for Gonystylus comprised of an rDNA (ITS2) and two cpDNA (trnH-psbA and trnL) markers based on a 20 Gonystylus species database. When concatenated, taxonomic species recognition was achieved with a resolution of 90% (18 out of the 20 species). In addition, based on 17 natural populations of G. bancanus throughout West (Peninsular Malaysia) and East (Sabah and Sarawak) Malaysia, population and individual identification databases were developed using cpDNA and STR markers respectively. A haplotype distribution map for Malaysia was generated using six cpDNA markers, resulting in 12 unique multilocus haplotypes, from 24 informative intraspecific variable sites. These unique haplotypes suggest a clear genetic structuring of West and East regions. A simulation procedure based on the composition of the samples was used to test whether a suspected sample conformed to a given regional origin. Overall, the observed type I and II errors of the databases showed good concordance with the predicted 5% threshold which indicates that the databases were useful in revealing provenance and establishing conformity of samples from West and East Malaysia. Sixteen STRs were used to develop the DNA profiling databases for individual identification. Bayesian clustering analyses divided the 17 populations into two main genetic clusters, corresponding to the regions of West and East Malaysia. Population substructuring (K=2) was observed within each region. After removal of bias resulting from sampling effects and population subdivision, conservativeness tests showed that the West and East Malaysia databases were conservative. This suggests that both databases can be used independently for random match probability estimation within respective regions. The reliability of the databases was further determined by independent self-assignment tests based on the likelihood of each individual's multilocus genotype occurring in each identified population, genetic cluster and region with an average percentage of correctly assigned individuals of 54.80%, 99.60% and 100% respectively. Thus, after appropriate validation, the genetic identification databases developed for G. bancanus in this study could support forensic applications and help safeguard this valuable species into the future.

Population-specific FST values for forensic STR markers: A worldwide survey

The interpretation of matching between DNA profiles of a person of interest and an item of evidence is undertaken using population genetic models to predict the probability of matching by chance. Calculation of matching probabilities is straightforward if allelic probabilities are known, or can be estimated, in the relevant population. It is more often the case, however, that the relevant population has not been sampled and allele frequencies are available only from a broader collection of populations as might be represented in a national or regional database. Variation of allele probabilities among the relevant populations is quantified by the population structure quantity FST and this quantity affects matching proportions. Matching within a population can be interpreted only with respect to matching between populations and we show here that FST, can be estimated from sample allelic matching proportions within and between populations. We report such estimates from data we extracted from 250 papers in the forensic literature, representing STR profiles at up to 24 loci from nearly 500,000 people in 446 different populations. The results suggest that theta values in current forensic use do not have the buffer of conservatism often thought.

Statistical and population genetics issues of two Hungarian datasets from the aspect of DNA evidence interpretation

When the DNA profile from a crime-scene matches that of a suspect, the weight of DNA evidence depends on the unbiased estimation of the match probability of the profiles. For this reason, it is required to establish and expand the databases that reflect the actual allele frequencies in the population applied. 21,473 complete DNA profiles from Databank samples were used to establish the allele frequency database to represent the population of Hungarian suspects. We used fifteen STR loci (PowerPlex ESI16) including five, new ESS loci. The aim was to calculate the statistical, forensic efficiency parameters for the Databank samples and compare the newly detected data to the earlier report. The population substructure caused by relatedness may influence the frequency of profiles estimated. As our Databank profiles were considered non-random samples, possible relationships between the suspects can be assumed. Therefore, population inbreeding effect was estimated using the FIS calculation. The overall inbreeding parameter was found to be 0.0106. Furthermore, we tested the impact of the two allele frequency datasets on 101 randomly chosen STR profiles, including full and partial profiles. The 95% confidence interval estimates for the profile frequencies (pM) resulted in a tighter range when we used the new dataset compared to the previously published ones. We found that the FIS had less effect on frequency values in the 21,473 samples than the application of minimum allele frequency. No genetic substructure was detected by STRUCTURE analysis. Due to the low level of inbreeding effect and the high number of samples, the new dataset provides unbiased and precise estimates of LR for statistical interpretation of forensic casework and allows us to use lower allele frequencies.

Use of non-human DNA analysis in forensic science: a mini review

Analysis of non-human DNA in forensic science, first reported about two decades ago, is now commonplace. Results have been used as evidence in court in a variety of cases ranging from abduction and murder to patent infringement and dog attack. DNA from diverse species, including commonly encountered pets such as dogs and cats, to plants, viruses and bacteria has been used and the sheer potential offered by such analyses has been proven. In this review, using case examples throughout, we detail the considerable literature in this field.

Developmental validation of DogFiler, a novel multiplex for canine DNA profiling in forensic casework

While the analysis of human DNA has been the focus of large-scale collaborative endeavors, non-human forensic DNA analysis has not benefited from the same funding streams and coordination of effort. Consequently, the development of standard marker panels, allelic ladders and allele-specific sequence data comparable to those established for human forensic genetics has lagged. To meet that need for domestic dogs, we investigated sequence data provided by the published 7.6X dog genome for novel short tandem repeat markers that met our criteria for sensitivity, stability, robustness, polymorphic information content, and ease of scoring. Fifteen unlinked tetranucleotide repeat markers were selected from a pool of 3113 candidate markers and assembled with a sex-linked marker into a multiplex capable of generating a full profile with as little as 60pg of nuclear DNA. An accompanying allelic ladder was assembled and sequenced to obtain detailed repeat motif data. Validation was carried out according to SWGDAM guidelines, and the DogFiler panel has been integrated into forensic casework and accepted in courts across the U.S. Applying various formulae for calculating random match probabilities for inbred populations, estimates for this panel of markers have proven to be comparable to those obtained in human forensic genetics. The DogFiler panel and the associated allelic ladder represent the first published non-human profiling system to fully address all SWGDAM recommendations.

The interpretation of lineage markers in forensic DNA testing

Mitochondrial DNA (mtDNA) and the non-recombining portion of the Y-chromosome are inherited matrilinealy and patrilinealy, respectively, and without recombination. Collectively they are termed 'lineage markers'. Lineage markers may be used in forensic testing of an item, such as a hair from a crime scene, against a hypothesised source, or in relationship testing. An estimate of the evidential weight of a match is usually provided by a count of the occurrence in some database of the mtDNA or Y-STR haplotype under consideration. When the factual statement of a count in the database is applied to a case, issues of relevance of the database and sampling uncertainty may arise. In this paper, we re-examine the issues of sampling uncertainty, the relevance of the database, and the combination of autosomal and lineage marker evidence. We also review the recent developments by C.H. Brenner.

Genetic data from 28 STR loci for forensic individual identification and parentage analyses in 6 bird of prey species

Twenty-eight STR loci were screened in wild populations of six bird of prey species providing allele frequencies and population genetic parameters necessary for the application of STRs in wildlife forensic genetic casework. Individual STR loci were validated according to forensic recommendations in specimens of golden eagle (Aquila chrysaetos), goshawk (Accipiter gentilis), merlin (Falco columbarius), peregrine falcon (Falco peregrinus), gyr falcon (Falco rusticolus) and saker falcon (Falco cherrug). Deviations from Hardy-Weinberg expectations and linkage disequilibrium between locus pairs were examined. The average probability of identity (PI(ave)) and power of exclusion (PE) suggest the profiling systems of golden eagle, goshawk, merlin and peregrine falcons are capable of providing robust and highly discriminatory forensic evidence for legal proceedings. Due to low sample numbers the allele frequency data for gyr and saker falcons is not currently capable of providing an effective probability of identity. Further work should focus on increasing the size of these data sets.

THE RARITY OF DNA PROFILES

It is now widely accepted that forensic DNA profiles are rare, so it was a surprise to some people that different people represented in offender databases are being found to have the same profile. In the first place this is just an illustration of the birthday problem, but a deeper analysis must take into account dependencies among profiles caused by family or population membership.

A forensic STR profiling system for the Eurasian badger: a framework for developing profiling systems for wildlife species

Developing short tandem repeat (STR) profiling systems for forensic identification is complicated in animal species. Obtaining a representative number of individuals from populations, limited access to family groups and a lack of developed STR markers can make adhering to human forensic guidelines difficult. Furthermore, a lack of animal specific guidelines may explain why many wildlife forensic STR profiling systems developed to date have not appropriately addressed areas such as marker validation or the publication and analysis of population data necessary for the application of these tools to forensic science. Here we present a methodology used to develop an STR profiling system for a legally protected wildlife species, the Eurasian badger Meles meles. Ten previously isolated STR loci were selected based on their level of polymorphism, adherence to Hardy-Weinberg expectations and their fragment size. Each locus was individually validated with respect to its reproducibility, inheritance, species specificity, DNA template concentration and thermocycling parameters. The effects of chemical, substrate and environmental exposure were also investigated. All ten STR loci provided reliable and reproducible results, and optimal amplification conditions were defined. Allele frequencies from 20 representative populations in England and Wales are presented and used to calculate the level of population substructure (theta) and inbreeding (f). Accounting for these estimates, the average probability of identity (PI(ave)) was 2.18 x 10(-7). This case study can act as a framework for others attempting to develop wildlife forensic profiling systems.

Population Substructure Can Significantly Affect Reliability of a DNA-led Process of Identification of Mass Fatality Victims

Aiming to evaluate the effects of population substructure on the reliability of a DNA correspondence in the process of human identification, we used the model of "in silico" constructed populations with and without substructure. Effects of population substructure were evaluated at the level of locus heterozygosity, Hardy-Weinberg equilibrium and mini-haplotype distribution. Inbreeding in a subpopulation of 100 individuals through 10 generations did not significantly alter the level of heterozygosity and Hardy-Weinberg equilibrium. However, analysis of mini-haplotype distribution revealed a significant homogenization in separated subpopulations. Average observed mini-haplotype frequency (f(o)) increased to threefold from expected values (f(e)), and the number of mini-haplotypes with f(o)/f(e) above 10 increased over sixfold, suggesting that the effects of population substructure on calculated likelihood ratios (LR) might be larger than previously estimated. In most criminal cases, this would not represent a problem, whereas for identifications in large-scale mass fatality events, population substructure might considerably increase the risk of false identification.

The merits of testing Hardy-Weinberg equilibrium in the analysis of unmatched case-control data: a cautionary note

Testing for departures from the assumption of Hardy-Weinberg equilibrium (HWE) has been widely recommended as a preliminary step in the analysis of genetic case-control studies. Some authors suggest using a two-stage procedure in which gene/disease associations are ultimately evaluated using either the Pearson chi-square procedure or the Cochran-Armitage test for trend. Other authors go further and encourage investigators to discard data that are in violation of HWE, essentially using the test as a tool for identifying genotyping errors. In this paper we show that 1) testing for HWE should not be used as a tool to identify genotyping errors; and 2) it is not necessary, and possibly even harmful, to test the HWE assumption before testing for association between alleles and disease. Instead one should inherently account for deviations from HWE with an adjusted chi-square test statistic, a procedure which in the present context is identical to the trend test. Examples from previous reports are used to illustrate the methodology.

Likelihood-based inference for genetic correlation coefficients

We review Wright's original definitions of the genetic correlation coefficients F(ST), F(IT), and F(IS), pointing out ambiguities and the difficulties that these have generated. We also briefly survey some subsequent approaches to defining and estimating the coefficients. We then propose a general framework in which the coefficients are defined, their properties established, and likelihood-based inference implemented. Likelihood methods of inference are proposed both for bi-allelic and multi-allelic loci, within a hierarchical model which allows sharing of information both across subpopulations and across loci, but without assuming constancy in either case. This framework can be used, for example, to detect environment-related diversifying selection.

The effect of reproductive compensation on recessive disorders within consanguineous human populations

We investigate the effects of consanguinity and population substructure on genetic health using the UK Asian population as an example. We review and expand upon previous treatments dealing with the deleterious effects of consanguinity on recessive disorders and consider how other factors, such as population substructure, may be of equal importance. For illustration, we quantify the relative risks of recessive lethal disorders by presenting some simple calculations that demonstrate the effect 'reproductive compensation' has on the maintenance of recessive alleles. The results show how reproductive compensation can effectively counteract the purging of deleterious alleles within consanguineous populations. Whereas inbreeding does not elevate the equilibrium frequency of affected individuals, reproductive compensation does. We suggest this effect must be built into interpretations of the incidence of genetic disease within populations such as the UK Asians. Information of this nature will benefit health care workers who inform such communities.

A method for distinguishing consanguinity and population substructure using multilocus genotype data

We use the patterns of homozygosity at multiple loci to distinguish between excess homozygosity caused by consanguineous mating and that due to undetected population subdivision (the Wahlund effect). Clarification of the underlying causes of excess homozygosity is of practical importance in explaining the occurrence of recessive genetic disorders and in forensic match probability calculations. We calculated a likelihood surface for two parameters: C, the proportion of the population practicing consanguinity, and theta, the genetic correlation due population subdivision. To illustrate the method, we applied it to multilocus genotypic data of two U.K. Asian populations, one practicing a high frequency of cousin marriage, and another in which caste endogamy was suspected. The method was able to successfully distinguish the different patterns of relatedness. The method also returned accurate estimates of C and theta using simulated data sets. We show how our method can be extended to allow for degrees of inbreeding closer than cousin unions, including selfing. With closer inbreeding, the relatedness of recent ancestors beyond the parents becomes an issue.

The forensic DNA implications of genetic differentiation between endogamous communities

In many indigenous minority populations, and among migrants from Asian and African populations now resident in western Europe, North America and Australia, there is a strong tradition of endogamy and a preference for consanguineous unions. These marriage practices can result in F(ST) values greatly in excess of the maximum value (0.01) currently recommended for forensic DNA purposes under guidelines established by the National Research Council (NRC) of the USA. To examine the possible extent of deviation from this accepted norm, three co-resident Pakistani communities were studied using 10 autosomal dinucleotide markers and six tetranucleotide markers on the Y-chromosome. The mean population subdivision coefficient (FST) value was 0.13 for the autosomal loci, and Y-chromosome loci exhibited even stronger differentiation with unique alleles identified in all three communities. The data indicate that even when sub-populations are virtually indistinguishable in terms of anthropology, geography, ethnicity or culture, they may still exhibit major genetic differentiation. Where significant population stratification is known to exist, more detailed genetic databases should be developed for forensic DNA purposes, based on reference data from each of the appropriate sub-populations and not on random or combined samples.

Measuring gametic disequilibrium from multilocus data

We describe a Bayesian approach to analyzing multilocus genotype or haplotype data to assess departures from gametic (linkage) equilibrium. Our approach employs a Markov chain Monte Carlo (MCMC) algorithm to approximate the posterior probability distributions of disequilibrium parameters. The distributions are computed exactly in some simple settings. Among other advantages, posterior distributions can be presented visually, which allows the uncertainties in parameter estimates to be readily assessed. In addition, background knowledge can be incorporated, where available, to improve the precision of inferences. The method is illustrated by application to previously published datasets; implications for multilocus forensic match probabilities and for simple association-based gene mapping are also discussed.

Genetic differentiation within and between four UK ethnic groups

In previous papers [L.A. Foreman, J.A. Lambert, I.W. Evett, Regional genetic variation in Caucasians, Forensic Sci. Int. 95 (1998) 27-37; L.A. Foreman, Analyses to investigate appropriate measures of differentiation between European Caucasian populations using short tandem repeat (STR) data, FSS Research Report FSS-RR-804 (1999)], we have carried out detailed investigations of the level of regional and national variation in STR characteristics exhibited within white Caucasian populations. The studies described here extend our earlier work to the black African/Caribbean and Asian (Indo-Pakistani) populations of the UK, routinely considered in casework calculations at the Forensic Science Service (FSS). In addition, estimation of allele distributions and database comparisons are carried out for two further populations, i.e. those classified as containing individuals of Oriental and Arabic appearance.