A new method for the evaluation of matches in non-recombining genomes: application to Y-chromosomal short tandem repeat (STR) haplotypes in European males

MPKin-YSTR: Interpretation of Y chromosome STR haplotypes for missing persons cases

Y chromosome Short Tandem Repeat (STR) haplotypes have been used in assisting forensic investigations primarily for identification and male lineage determination. The current SWGDAM interpretation guidelines for Y-STR typing provide helpful guidance on those purposes but do not address the issue of kinship analysis with Y-STR haplotypes. Because of the high mutation rate of Y-STRs, there are complex missing person cases in which inconsistent Y-STR haplotypes between true paternal lineage relatives will arise and cases with two or more male references in the same lineage and yet differ in their haplotypes. Therefore, more useful methods are needed for interpreting the Y-STR haplotype data. Computational methods and interpretation guidelines have been developed specifically addressing this issue, either using a mismatch-based counting method or a pedigree likelihood ratio method. In this study, a software program, MPKin-YSTR, was developed by implementing those more sophisticated methods. This software should be able to improve the interpretation of complex cases with Y-STR haplotype evidence. Thus, more biological evidence will be interpreted, which in turn will result in more investigation leads to help solve crimes.

Molecular diversity of 23-YSTR markers in Iraqi populations

Iraq is home to the ancient civilization, of Mesopotamia. The population genetics of Iraqis is important due to their ethnic diversity. This study aimed to analyze is to analyze the distribution of Y chromosome haplotypes in a sample of 680 native Iraqi males from regions of Iraq and compare it to previously published Y chromosome haplotype data from some neighboring Arab populations.In this study, A total of 680 unrelated samples (not belonging to the same nuclear family) of healthy males were sampled for the Y-STR analysis from the Iraqi populations in Baghdad. blood samples were collected at the ministry of health/medical legal Directorate/paternity and Baghdad from 2018 to 2020. Allele frequency and gene diversity were calculated. The Iraqi population data were compared with the neighboring populations using pairwise genetic distances using the Y Chromosome Haplotype Reference Database Website (YHRD) software.The discrimination capacity 23 STR loci provide was (0.92). The number of haplotypes observed in 680 samples, was 616 haplotypes (568 unique and 48 shared haplotypes). Haplogroup prediction suggests that haplogroup J1 is the most common in the Iraqi population, followed by J2. According to AMOVA and MD, showed high similarities with neighboring countries. We can conclude that there is no genetic structure among the populations and their data could be added to reference the Iraqi database.

Cold-Blooded and on Purpose: A Review of the Biology of Proactive Aggression

Proactive aggression (PA) is a planned and unprovoked form of aggression that is most often enacted for personal gain or in anticipation of a reward. Frequently described as "cold-blooded" or goal oriented, PA is thought to be associated with low autonomic arousal. With this view in mind, we performed a scoping review of the biological correlates of PA and identified 74 relevant articles. Physiological findings indicated a robust association between PA and reduced resting heart rate, and to a lesser extent a relationship between PA and decreased heart rate and skin conductance reactivity, perhaps indicating dampened sympathetic function. The twin literature identified PA as a heritable trait, but little evidence implicates specific genes in the pathogenesis of PA. Neuroimaging studies of PA pinpoint impaired amygdala function in the assessment and conditioning of aversive stimuli, which may influence the establishment of behavioral patterns. Nodes of the default mode network were identified as possible neural correlates of PA, suggesting that altered function of this network may be involved in the genesis of PA. Given the overlap of PA with reactive aggression and the overall behavioral complexity of PA, it is clear that multiple endophenotypes of PA exist. This comprehensive review surveys the most salient neurobiologically informed research on PA.

Assessing the Forensic Value of DNA Evidence from Y Chromosomes and Mitogenomes

Y chromosome and mitochondrial DNA profiles have been used as evidence in courts for decades, yet the problem of evaluating the weight of evidence has not been adequately resolved. Both are lineage markers (inherited from just one parent), which presents different interpretation challenges compared with standard autosomal DNA profiles (inherited from both parents). We review approaches to the evaluation of lineage marker profiles for forensic identification, focussing on the key roles of profile mutation rate and relatedness (extending beyond known relatives). Higher mutation rates imply fewer individuals matching the profile of an alleged contributor, but they will be more closely related. This makes it challenging to evaluate the possibility that one of these matching individuals could be the true source, because relatives may be plausible alternative contributors, and may not be well mixed in the population. These issues reduce the usefulness of profile databases drawn from a broad population: larger populations can have a lower profile relative frequency because of lower relatedness with the alleged contributor. Many evaluation methods do not adequately take account of distant relatedness, but its effects have become more pronounced with the latest generation of high-mutation-rate Y profiles.

Match probabilities for Y-chromosomal profiles: A paradigm shift

Calculating match probabilities for genetic profiles under the hypothesis that a person of interest (henceforth the 'suspect') is not the donor of a particular forensic trace is challenging because the reference population is usually not clear-defined in such cases. Hence, the concept of 'suspect population' was introduced to allow for the fact that possible alternative trace donors often resemble the suspect in terms of their geographic, ethnic and social affiliation. In fact, they may even be genetically related to the suspect. Although the possibility of relatedness affects the size of the match probability in general, this is not a practically relevant issue for autosomal profiles owing to the stochastic independence of the markers included. The situation is, however, different for Y-chromosomal short tandem repeat (STR) profiles. Here, almost all profile matches are likely to be identical by descent, and profile identity may be common even among distantly related males. The degree of relatedness between suspect and alternative trace donors is thus a critical aspect of the evaluation of Y-chromosomal STR profile matches. All methods hitherto proposed to derive match probabilities for such cases, including our own, were anti-conservative in that they equated the suspect population to a database population (of virtually unrelated individuals). The nature of the true suspect population, however, is usually unknown and hard, if not impossible, to determine so that calculation of proper match probabilities remains a difficult task. Therefore, since lower Y-chromosomal match probabilities would result from higher mutation rates, even for close relatives, future research should rather focus upon the characterization of novel and more mutable Y-chromosomal STRs.

Analysis of Mutation Rate of 17 Y-Chromosome Short Tandem Repeats Loci Using Tanzanian Father-Son Paired Samples

Hundred unrelated father-son buccal swab sample pairs collected from consented Tanzanian population were examined to establish mutation rates using 17 Y-STRs loci DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393, DYS385a, DYS385b, DYS437, DYS438, DYS439, DYS448, DYS456, DYS458, DYS635, and Y-GATA-H4 of the AmpFlSTRYfiler kit used in forensics and paternity testing. Prior to 17 Y-STRs analysis, father-son pair biological relationships were confirmed using 15 autosomal STRs markers and found to be paternally related. A total of four single repeat mutational events were observed between father and sons. Two mutations resulted in the gain of a repeat and the other two resulted in a loss of a repeat in the son. All observed mutations occurred at tetranucleotide loci DYS389II, DYS385a, and DYS385b. The locus specific mutation rate varied between 0 and 1.176 x10-3 and the average mutation rate of 17Y-STRs loci in the present study was 2.353x10-3 (6.41x10-4 - 6.013x10-3) at 95% CI. Furthermore the mean fathers' age with at least one mutation at son's birth was 32 years with standard error of 2.387 while the average age of all fathers without mutation in a sampled population at son's birth was 26.781 years with standard error of 0.609. The results shows that fathers' age at son's birth may have an effect on Y-STRs mutation rate analysis, though this age difference was statistically not significant using unpaired samples t-test (p = 0.05). As a consequence of observed mutation rates in this study, the precise and reliable understanding of mutation rate at Y-chromosome STR loci is necessary for a correct evaluation and interpretation of DNA typing results in forensics and paternity testing involving males. The criterion for exclusion in paternity testing should be defined, so that an exclusion from paternity has to be based on exclusion constellations at a minimum of two 17 Y-STRs loci.

Breed traceability of buffalo meat using microsatellite genotyping technique

Although buffalo has emerged as a major meat producing animal in Asia, major research on breed traceability has so far been focused on cattle (beef). This research gap on buffalo breed traceability has impelled development and validation of buffalo breed traceability using a set of eight microsatellite (STR) markers in seven Indian buffalo breeds (Bhadawari, Jaffaarabadi, Murrah, Mehsana, Nagpuri, Pandharpuri and Surti). Probability of sharing same profile by two individuals at a specific locus was computed considering different STR numbers, allele pooling in breed and population. Match probabilities per breed were considered and six most polymorphic loci were genotyped. Out of eight microsatellite markers studied, markers CSSMO47, DRB3 and CSSM060 were found most polymorphic. Developed technique was validated with known and unknown, blood and meat samples; wherein, samples were genetically traced in 24 out of 25 samples tested. Results of this study showed potential applications of the methodology and encourage other researchers to address the problem of buffalo traceability so as to create a world-wide archive of breed specific genotypes. This work is the first report of breed traceability of buffalo meat utilizing microsatellite genotyping technique.

No shortcut solution to the problem of Y-STR match probability calculation

Match probability calculation is deemed much more intricate for lineage genetic markers, including Y-chromosomal short tandem repeats (Y-STRs), than for autosomal markers. This is because, owing to the lack of recombination, strong interdependence between markers is likely, which implies that haplotype frequency estimates cannot simply be obtained through the multiplication of allele frequency estimates. As yet, however, the practical relevance of this problem has not been studied in much detail using real data. In fact, such scrutiny appears well warranted because the high mutation rates of Y-STRs and the possibility of backward mutation should have worked against the statistical association of Y-STRs. We examined haplotype data of 21 markers included in the PowerPlex(®)Y23 set (PPY23, Promega Corporation, Madison, WI) originating from six different populations (four European and two Asian). Assessing the conditional entropies of the markers, given different subsets of markers from the same panel, we demonstrate that the PowerPlex(®)Y23 set cannot be decomposed into smaller marker subsets that would be (conditionally) independent. Nevertheless, in all six populations, >94% of the joint entropy of the 21 markers is explained by the seven most rapidly mutating markers. Although this result might render a reduction in marker number a sensible option for practical casework, the partial haplotypes would still be almost as diverse as the full haplotypes. Therefore, match probability calculation remains difficult and calls for the improvement of currently available methods of haplotype frequency estimation.

Identifying the most likely contributors to a Y-STR mixture using the discrete Laplace method

In some crime cases, the male part of the DNA in a stain can only be analysed using Y chromosomal markers, e.g. Y-STRs. This may be the case in e.g. rape cases, where the male components can only be detected as Y-STR profiles, because the fraction of male DNA is much smaller than that of female DNA, which can mask the male results when autosomal STRs are investigated. Sometimes, mixtures of Y-STRs are observed, e.g. in rape cases with multiple offenders. In such cases, Y-STR mixture analysis is required, e.g. by mixture deconvolution, to deduce the most likely DNA profiles from the contributors. We demonstrate how the discrete Laplace method can be used to separate a two person Y-STR mixture, where the Y-STR profiles of the true contributors are not present in the reference dataset, which is often the case for Y-STR profiles in real case work. We also briefly discuss how to calculate the weight of the evidence using the likelihood ratio principle when a suspect's Y-STR profile fits into a two person mixture. We used three datasets with between 7 and 21 Y-STR loci: Denmark (n=181), Somalia (n=201) and Germany (n=3443). The Danish dataset with 21 loci was truncated to 15 and 10 loci to examine the effect of the number of loci. For each of these datasets, an out of sample simulation study was performed: A total of 550 mixtures were composed by randomly sampling two haplotypes, h1 and h2, from the dataset. We then used the discrete Laplace method on the remaining data (excluding h1 and h2) to rank the contributor pairs by the product of the contributors' estimated haplotype frequencies. Successful separation of mixtures (defined by the observation that the true contributor pair was among the 10 most likely contributor pairs) was found in 42-52% of the cases for 21 loci, 69-75% for 15 loci and 92-99% for 10 loci or less depending on the dataset and how the discrete Laplace model was chosen. Y-STR mixtures with many loci are difficult to separate, but even haplotypes with 21 Y-STR loci can be separated.

Usefulness of SNPs as Supplementary Markers in a Paternity Case with 3 Genetic Incompatibilities at Autosomal and Y Chromosomal Loci

BACKGROUND

In kinship testing, investigation of 15 short tandem repeats (STRs) usually provides decisive genetic information for resolving relationship cases. However, in complex deficiency cases, in cases with more than 2 mutations at different STR loci or when close (untested) relatives of the alleged father are suggested to be the biological father of the child, STR typing alone may not be sufficient. In these cases, the application of supplementary markers such as single nucleotide polymorphisms (SNPs) is recommended.

METHODS

We describe a paternity case with 3 genetic incompatibilities (Penta D, VWA, and DYS385) between the alleged father and the child after analyzing 23 autosomal and 16 Y chromosomal STR loci. The question arose as to whether the alleged father could be excluded and a related person could be the biological father of the child, or whether the observed genetic incompatibilities were mutations. Interestingly, the 2 excluded full brothers of the alleged father possessed identical genetic incompatibilities at locus VWA and DYS385 as the alleged father.

RESULTS AND CONCLUSIONS

Additional performance of a 50-plex SNP assay demonstrated that the observed mismatches were indeed mutations and the alleged father was the biological father of the child. The results show the usefulness of SNPs as supplementary markers in relationship testing when STR analyses show ambiguous results.

The combined evidential value of autosomal and Y-chromosomal DNA profiles obtained from the same sample

When a Y-chromosomal and a (partial) autosomal DNA profile are obtained from one crime sample, and both profiles match the suspect's profiles, we would like to know the combined evidential value. To calculate the likelihood ratio of observing the autosomal and Y-chromosomal DNA profiles combined, we need to know the conditional random match probability of the observed autosomal DNA profile, given the Y-chromosomal match. We examine this conditional probability in two ways: (1) with a database containing data of 2,085 men and (2) using a simulation model. We conclude that if the Y-chromosomal DNA profiles match, we can still regard the autosomal DNA profile as independent from the Y-chromosomal DNA profile if the matching person is not a descendant of the father of the donor of the (crime) sample. The evidential value can, in that case, be computed by multiplying the random match probabilities of the individual profiles.

DNA fingerprinting in forensics: past, present, future

DNA fingerprinting, one of the great discoveries of the late 20th century, has revolutionized forensic investigations. This review briefly recapitulates 30 years of progress in forensic DNA analysis which helps to convict criminals, exonerate the wrongly accused, and identify victims of crime, disasters, and war. Current standard methods based on short tandem repeats (STRs) as well as lineage markers (Y chromosome, mitochondrial DNA) are covered and applications are illustrated by casework examples. Benefits and risks of expanding forensic DNA databases are discussed and we ask what the future holds for forensic DNA fingerprinting.

Understanding Y haplotype matching probability

The Y haplotype population-genetic terrain is better explored from a fresh perspective rather than by analogy with the more familiar autosomal ideas. For haplotype matching probabilities, versus for autosomal matching probabilities, explicit attention to modelling - such as how evolution got us where we are - is much more important while consideration of population frequency is much less so. This paper explores, extends, and explains some of the concepts of "Fundamental problem of forensic mathematics - the evidential strength of a rare haplotype match". That earlier paper presented and validated a "kappa method" formula for the evidential strength when a suspect matches a previously unseen haplotype (such as a Y-haplotype) at the crime scene. Mathematical implications of the kappa method are intuitive and reasonable. Suspicions to the contrary raised in rest on elementary errors. Critical to deriving the kappa method or any sensible evidential calculation is understanding that thinking about haplotype population frequency is a red herring; the pivotal question is one of matching probability. But confusion between the two is unfortunately institutionalized in much of the forensic world. Examples make clear why (matching) probability is not (population) frequency and why uncertainty intervals on matching probabilities are merely confused thinking. Forensic matching calculations should be based on a model, on stipulated premises. The model inevitably only approximates reality, and any error in the results comes only from error in the model, the inexactness of the approximation. Sampling variation does not measure that inexactness and hence is not helpful in explaining evidence and is in fact an impediment. Alternative haplotype matching probability approaches that various authors have considered are reviewed. Some are based on no model and cannot be taken seriously. For the others, some evaluation of the models is discussed. Recent evidence supports the adequacy of the simple exchangability model on which the kappa method rests. However, to make progress toward forensic calculation of Y haplotype mixture evidence a different tack is needed. The "Laplace distribution" model of Andersen et al. [3] which estimates haplotype frequencies by identifying haplotype clusters in population data looks useful.

Y-chromosomal analysis identifies the skeletal remains of Swiss national hero Jörg Jenatsch (1596-1639)

Jörg Jenatsch was a Swiss defender of independence and a fighter for liberty in the 17th century. With the help of three living male members of the Jenatsch family, we successfully identified a skeleton exhumed from Chur cathedral as the remains of Jörg Jenatsch. Our conclusion was based upon complete Y-STR and Y-SNP profiles that could be generated by replicate analyses of a bone sample available to us. The skeleton and the three living family members carried the same Y-SNP haplogroup, but were discordant at three of 23 Y-STR loci. This notwithstanding, conservative biostatistical evaluation of the data suggests that the Chur skeleton is at least 20 times more likely than not to be Jörg Jenatsch.

Evidence from Y-chromosome analysis for a late exclusively eastern expansion of the Bantu-speaking people

The expansion of the Bantu-speaking people (EBSP) during the past 3000-5000 years is an event of great importance in the history of humanity. Anthropology, archaeology, linguistics and, in recent decades, genetics have been used to elucidate some of the events and processes involved. Although it is generally accepted that the EBSP has its origin in the so-called Bantu Homeland situated in the area of the border between Nigeria and the Grassfields of Cameroon, and that it followed both western and eastern routes, much less is known about the number and dates of those expansions, if more than one. Mitochondrial, Y-chromosome and autosomal DNA analyses have been carried out in attempts to understand the demographic events that have taken place. There is an increasing evidence that the expansion was a more complex process than originally thought and that neither a single demographic event nor an early split between western and eastern groups occurred. In this study, we analysed unique event polymorphism and short tandem repeat variation in non-recombining Y-chromosome haplogroups contained within the E1b1a haplogroup, which is exclusive to individuals of recent African ancestry, in a large, geographically widely distributed, set of sub-Saharan Africans (groups=43, n=2757), all of whom, except one Nilo-Saharan-speaking group, spoke a Niger-Congo language and most a Bantu tongue. Analysis of diversity and rough estimates of times to the most recent common ancestors of haplogroups provide evidence of multiple expansions along eastern and western routes and a late, exclusively eastern route, expansion.

Interpretation guidelines of a standard Y-chromosome STR 17-plex PCR-CE assay for crime casework

Y-STR analysis is an invaluable tool to examine evidence in sexual assault cases and in other forensic casework. Unambiguous detection of the male component in DNA mixtures with a high female background is still the main field of application of forensic Y-STR haplotyping. In the last years, powerful technologies including a 17-locus multiplex PCR assay have been introduced in the forensic laboratories. At the same time, statistical methods have been developed and adapted for interpretation of a nonrecombining, linear marker as the Y-chromosome which shows a strongly clustered geographical distribution due to the linear inheritance and the patrilocality of ancestral groups. Large population databases, namely the Y-STR Haplotype Reference Database (YHRD), have been established to assess the evidentiary value of Y-STR matches by means of frequency estimation methods (counting and extrapolation).

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.

Improving human forensics through advances in genetics, genomics and molecular biology

Forensic DNA profiling currently allows the identification of persons already known to investigating authorities. Recent advances have produced new types of genetic markers with the potential to overcome some important limitations of current DNA profiling methods. Moreover, other developments are enabling completely new kinds of forensically relevant information to be extracted from biological samples. These include new molecular approaches for finding individuals previously unknown to investigators, and new molecular methods to support links between forensic sample donors and criminal acts. Such advances in genetics, genomics and molecular biology are likely to improve human forensic case work in the near future.

Pedigree likelihood ratio for lineage markers

Lineage-based haplotype markers (e.g., Y chromosome STRs and mitochondrial DNA sequences) are important adjunct tools to the autosomal markers for kinship analysis and for specialized kinship applications such as database searching. Traditionally, the prosecution or kinship hypothesis considers the haplotypes in the same lineage and the probability of genotype data given the lineage hypothesis is simply set at 1 if the number of mismatched loci or nucleotides between the questioned person and the references is less than a predefined threshold. In this study, a kinship hypothesis based on a fixed relationship of the questioned person in the reference family is introduced. A graphical model is proposed to calculate the probability of the genotype data given the kinship hypothesis, which is the product of haplotype frequency of the founder in the pedigree and the transmission probability from the founder to all descendants. Proper mutation models are suggested for Y chromosome STRs and mitochondrial DNA sequence variants (i.e., SNPs) to calculate the transmission probability. The methods to infer the genotypes of the untyped individuals in the pedigree and the computational complexity of handling these untyped individuals are also addressed. Lastly, numerical examples of the applications are given to demonstrate the kinship hypothesis and the algorithms.

Inferential genotyping of Y chromosomes in Latter-Day Saints founders and comparison to Utah samples in the HapMap project

One concern in human genetics research is maintaining the privacy of study participants. The growth in genealogical registries may contribute to loss of privacy, given that genotypic information is accessible online to facilitate discovery of genetic relationships. Through iterative use of two such web archives, FamilySearch and Sorenson Molecular Genealogy Foundation, I was able to discern the likely haplotypes for the Y chromosomes of two men, Joseph Smith and Brigham Young, who were instrumental in the founding of the Latter-Day Saints Church. I then determined whether any of the Utahns who contributed to the HapMap project (the "CEU" set) is related to either man, on the basis of haplotype analysis of the Y chromosome. Although none of the CEU contributors appear to be a male-line relative, I discovered that predictions could be made for the surnames of the CEU participants by a similar process. For 20 of the 30 unrelated CEU samples, at least one exact match was revealed, and for 17 of these, a potential ancestor from Utah or a neighboring state could be identified. For the remaining ten samples, a match was nearly perfect, typically deviating by only one marker repeat unit. The same query performed in two other large databases revealed fewer individual matches and helped to clarify which surname predictions are more likely to be correct. Because large data sets of genotypes from both consenting research subjects and individuals pursuing genetic genealogy will be accessible online, this type of triangulation between databases may compromise the privacy of research subjects.

The effect of number of loci on geographical structuring and forensic applicability of Y-STR data in Finland

The Y-chromosomal diversity among Finnish males is characterized by low diversity and substantial geographical substructuring. In a 12-locus data set (PowerPlexY), especially the eastern parts of the country showed low levels of variation, and the western, middle, and eastern parts of Finland differed from each other by their Y-short tandem repeat (STR) haplotype frequencies (Palo et al., Forensic Sci Int Genet 1:120-124, 2007). In this paper, we have analyzed geographical patterns of Y-STR diversity using both 12-locus (PowerPlexY) and 17-locus (Yfiler) data sets from the same set of geographically structured samples. In the larger data set, the haplotype diversity is significantly higher, as expected. The geographical distribution of haplotypes is similar in both data sets, but the level of interregional differences is significantly lower in the Yfiler data. The implications of these observations on the forensic casework are discussed.

Analysis of Y chromosome STR haplotypes in the European part of Russia reveals high diversities but non-significant genetic distances between populations

A total of 17 Y-specific STR loci were studied in 12 districts of the European part of Russia aiming to ascertain the amount of substructure required for the construction of a representative regional database. All groups exhibited high haplotype diversities but low inter-population variance as measured by an analysis of molecular variance. However, when Western Russia is taken as a whole, the genetic distances to the neighbouring populations were significant. Whereas gradual change in the Y chromosome pool exists between Russia and the Slavic-speaking populations to the West, remarkable discontinuities were observed with neighbouring populations in the East, North and South.

Combining Autosomal and Y-Chromosomal Short Tandem Repeat Data in Paternity Testing with Male Child: Methods and Application

Paternity testing is being increasingly requested with the aim of challenging presumptive fatherhood. The ability to establish the biological father is usually based on the genotyping of autosomal short tandem repeat (STR) in alleged father, mother and child, but the use of Y-chromosomal STR has gained interest in the last few years. In this work, we propose a new probabilistic approach that combines autosomal and Y-chromosomal STR data in paternity testing with father/son pairs taking into account mutation events. We also suggest a new two-stage approach where we first type Y-STRs and possibly autosomal STR for the putative father and son, conditional on Y-STR results. We applied this approach to 22 cases. Our results show that Y-STRs can identify nonpaternity cases with high accuracy but need to be validated with autosomal STR to establish paternity. Moreover, the two-stage approach is less costly than the standard approach and is very useful in motherless cases.

Y chromosome haplotype reference database (YHRD): update

The freely accessible YHRD (Y Chromosome Haplotype Reference Database, www.yhrd.org) is designed to store Y chromosome haplotypes from global populations and had replaced three earlier database versions collecting European, Asian and US American Y chromosomes separately. The focus is to disseminate haplotype frequency data to forensic analysts, researchers, and to everyone who is interested in historical and family genetics. YHRD considers reduction of the available number of polymorphisms on the Y chromosome to a uniform data string of 11 highly variable Y-STR loci as an efficient way to rapidly screen many world populations and to make their Y chromosome profiles comparable. Typing of the YHRD 11-locus core set is facilitated by commercial products, namely diagnostic PCR kits, and endorsed by scientific and forensic analyst's societies as ISFG or SWGDAM. YHRD is structured by the assignment of each submitted population sample to a set of populations sharing a common linguistic, demographic, genetic or geographic background (metapopulations). This principle facilitates the statistical evaluation of haplotype matches due to a significant enlargement of sample sizes. With the rapid growth of the database the definition of homogeneous metapopulations is now also feasible solely on the basis of the genetic data as exemplified for the whole dataset of YHRD, release 19 (August 2006). Large sample numbers within genetically defined metapopulations also allows the development of biostatistical methods to estimate the frequency of unobserved or rare haplotypes ("haplotype frequency surveying method"). Essential for the YHRD project is its collaborative character relying on the engagement of individual laboratories to make their data accessible via YHRD and to share the YHRD standards regarding data quality.

Regional differences among the Finns: A Y-chromosomal perspective

Twenty-two Y-chromosomal markers, consisting of fourteen biallelic markers (YAP/DYS287, M170, M253, P37, M223, 12f2, M9, P43, Tat, 92R7, P36, SRY-1532, M17, P25) and eight STRs (DYS19, DYS385a/b, DYS388, DYS389I/II, DYS390, DYS391, DYS392, DYS393), were analyzed in 536 unrelated Finnish males from eastern and western subpopulations of Finland. The aim of the study was to analyze regional differences in genetic variation within the country, and to analyze the population history of the Finns. Our results gave further support to the existence of a sharp genetic border between eastern and western Finns so far observed exclusively in Y-chromosomal variation. Both biallelic haplogroup and STR haplotype networks showed bifurcated structures, and similar clustering was evident in haplogroup and haplotype frequencies and genetic distances. These results suggest that the western and eastern parts of the country have been subject to partly different population histories, which is also supported by earlier archaeological, historical and genetic data. It seems probable that early migrations from Finno-Ugric sources affected the whole country, whereas subsequent migrations from Scandinavia had an impact mainly on the western parts of the country. The contacts between Finland and neighboring Finno-Ugric, Scandinavian and Baltic regions are evident. However, there is no support for recent migrations from Siberia and Central Europe. Our results emphasize the importance of incorporating Y-chromosomal data to reveal the population substructure which is often left undetected in mitochondrial DNA variation. Early assumptions of the homogeneity of the isolated Finnish population have now proven to be false, which may also have implications for future association studies.

DNA Commission of the International Society of Forensic Genetics (ISFG): an update of the recommendations on the use of Y-STRs in forensic analysis

The DNA Commission of the International Society of Forensic Genetics (ISFG) regularly publishes guidelines and recommendations concerning the application of DNA polymorphisms to the problems of human identification. A previous recommendation published in 2001 has already addressed Y-chromosome polymorphisms, with particular emphasis on short tandem repeats (STRs). Since then, the use of Y-STRs has become very popular, and a numerous new loci have been introduced. The current recommendations address important aspects to clarify problems regarding the nomenclature, the definition of loci and alleles, population genetics and reporting methods.

Population data on 11 Y-chromosome STRs from Guiné-Bissau

The forensic value of Y-STR markers in Guiné-Bissau was accessed by typing of 215 males. Allele and haplotype frequencies, determined for loci DYS19, DYS389-I, DYS389-II, DYS390, DYS391, DYS392, DYS393, DYS437, DYS438, DYS439 and the duplicated locus DYS385, are within the limits of variation found in other populations south of the Sahara. The level of discrimination achieved is Guineans is higher than for European or other African populations with comparable data. The haplotype diversity of 0.9995 is reduced to 0.9981 when the minimal haplotype is considered thus revealing the importance of increasing the number of typed loci.

Forensic evaluation and haplotypes of 19 Y-chromosomal STR loci in Koreans

In this study, 19 Y-specific STR loci (DYS19, DYS389I/II, DYS390, DYS391, DYS392, DYS393, DYS385, DYS388, DYS434, DYS435, DYS436, DYS437, DYS438, DYS439, DYS446, DYS449, and DYS464) were analyzed in 301 unrelated Korean males by three multiplex PCR systems. The haplotype diversity using the classical set of Y-STRs (DYS19, DYS389I/II, DYS390, DYS391, DYS392, DYS393, and DYS385; multiplex I) was 0.9963. For the same individuals, the haplotype diversity value using the new set of highly informative Y-STRs (DYS385, DYS446, DYS449, and DYS464; multiplex III) was 0.9989, while that using the combined set of Y-STRs by adding DYS388 to the previously studied DYS434, DYS435, DYS436, DYS437, DYS438, and DYS439 (multiplex II) was 0.9509. A total of 297 different haplotypes were identified using the 19 Y-STR markers, of which 293 were unique and 4 were found twice. The overall haplotype diversity was 0.9999. The evaluation of the information of selected markers by combination of each marker with the minimal haplotype showed that DYS434, DYS435, DYS436, DYS437, and DYS438 do not significantly contribute to increment of haplotype diversity. However, respective conjunction of DYS464, DYS449, and DYS446 with the minimal haplotype considerably increased the haplotype diversity. Especially, DYS464 is expected to be the most useful marker that can be included in the expanded minimal haplotype. These results including the haplotype data at 19 Y-STR loci in the present study would provide useful information in forensic practice in a Korean population.