Paternity evaluation in cases lacking a mother and nondetectable alleles

A posteriori parameters from paternity tests of a Mexican laboratory with the powerplex fusion system

Population studies regarding Human identification (HID) systems report a priori forensic parameters, but rarely they describe a posteriori parameters from concluded paternity tests. We analyzed data from the PowerPlex® Fusion System in 1503 paternity tests from a Mexican laboratory for five years (2016-2020). The motherless duo paternity tests (89.8%) were more frequent than the standard trio tests (10.2%). A notable increase in motherless tests was noted regarding our previous report (89.8% vs 77.3%), probably explained by the COVID-19 pandemic. The estimated exclusion frequency in Mexico ranged from 30.1 (trio) to 32.1% (duo). For paternity exclusions, we report the number of mismatches and the frequency at which each STR was involved. The PowerPlex® Fusion system showed more than five mismatches in 100% of the standard trio tests excluding paternity, and the majority of motherless-duo tests (98.1%). In positive paternity tests, PowerPlex® Fusion offered a higher combined paternity index (PI) (average 1.18 E + 10) regarding HID systems with 15 and 20 STRs, even without the inclusion of the Y-linked locus DYS391 to the kinship interpretation. Individual and global STR mutation rates were estimated from 17 paternal mutations (μ = 0.0017), the majority involving a single-step mutation (94.11%). Five independent null alleles were detected, most of them involving the Penta E locus (80%), which suggests caution to the users working with DNA databases or kinship analysis, to avoid false exclusions with Penta E. In brief, our results provide a better overview of a posteriori informativeness offered by the PowerPlex® Fusion system for paternity testing in Mexico.

The future of parentage analysis: From microsatellites to SNPs and beyond

Parentage analysis is a cornerstone of molecular ecology that has delivered fundamental insights into behaviour, ecology and evolution. Microsatellite markers have long been the king of parentage, their hypervariable nature conferring sufficient power to correctly assign offspring to parents. However, microsatellite markers have seen a sharp decline in use with the rise of next-generation sequencing technologies, especially in the study of population genetics and local adaptation. The time is ripe to review the current state of parentage analysis and see how it stands to be affected by the emergence of next-generation sequencing approaches. We find that single nucleotide polymorphisms (SNPs), the typical next-generation sequencing marker, remain underutilized in parentage analysis but are gaining momentum, with 58 SNP-based parentage analyses published thus far. Many of these papers, particularly the earlier ones, compare the power of SNPs and microsatellites in a parentage context. In virtually every case, SNPs are at least as powerful as microsatellite markers. As few as 100-500 SNPs are sufficient to resolve parentage completely in most situations. We also provide an overview of the analytical programs that are commonly used and compatible with SNP data. As the next-generation parentage enterprise grows, a reliance on likelihood and Bayesian approaches, as opposed to strict exclusion, will become increasingly important. We discuss some of the caveats surrounding the use of next-generation sequencing data for parentage analysis and conclude that the future is bright for this important realm of molecular ecology.

Inference of maternal uniparental disomy of the entire chromosome 2 from a paternity test

Atypical situations arise during the constant resolution of paternity cases, which constitute challenges requiring additional genetic systems and non-standard methods. We report a paternity case presenting three alleged father (AF)-child incompatibilities for the markers TPOX, D2S441, and the indel locus B02 (11/11 vs 8/8; 14/14 vs 10/10; 2/2 vs1/1, respectively). Considering the presence of mutations/null alleles, the residual paternity indexes (PI) obtained with 23 autosomal short tandem repeats (STRs) and 38 indels suggest that the AF is the father (PI = 1.94e+011). Although the presence of few incompatibilities also could imply paternity of the AF brother, this hypothesis was less probable (PI = 3.20e+9) (W = 98.4 vs 1.6%, respectively). The inclusion of 23 Y-STR loci confirmed the paternity relationship in this case (global PI = 6.08e+15). However, the two multistep STRs and one indel incompatibilities allow discarding the mutation possibility. On the other hand, the confirmation of the homozygous STR genotypes with two different human identification kits and the low probability to find three null alleles (3.10e-8) allow rejecting the null allele presence hypothesis. Conversely, the child's homozygous genotype for maternal alleles in four markers located in the p and q arms of the chromosome 2 (TPOX, D2S441, D2S1338, and B02) suggests that maternal uniparental isodisomy better explains the relationship despite the presence of three paternal incompatibilities. In brief, when multiple incompatibilities are observed in paternity testing, the chromosomal location of the excluding loci and the use of additional genetic systems can be crucial to get confident kinship conclusions.

Paternity tests in Mexico: Results obtained in 3005 cases

National and international reports regarding the paternity testing activity scarcely include information from Mexico and other Latin American countries. Therefore, we report different results from the analysis of 3005 paternity cases analyzed during a period of five years in a Mexican paternity testing laboratory. Motherless tests were the most frequent (77.27%), followed by trio cases (20.70%); the remaining 2.04% included different cases of kinship reconstruction. The paternity exclusion rate was 29.58%, higher but into the range reported by the American Association of Blood Banks (average 24.12%). We detected 65 mutations, most of them involving one-step (93.8% and the remaining were two-step mutations (6.2%) thus, we were able to estimate the paternal mutation rate for 17 different STR loci: 0.0018 (95% CI 0.0005-0.0047). Five triallelic patterns and 12 suspected null alleles were detected during this period; however, re-amplification of these samples with a different Human Identification (HID) kit confirmed the homozygous genotypes, which suggests that most of these exclusions actually are one-step mutations. HID kits with ≥20 STRs detected more exclusions, diminishing the rate of inconclusive results with isolated exclusions (<3 loci), and leading to higher paternity indexes (PI). However, the Powerplex 21 kit (20 STRs) and Powerplex Fusion kit (22 STRs) offered similar PI (p = 0.379) and average number of exclusions (PE) (p = 0.339) when a daughter was involved in motherless tests. In brief, besides to report forensic parameters from paternity tests in Mexico, results describe improvements to solve motherless paternity tests using HID kits with ≥20 STRs instead of one including 15 STRs.

Genome-wide survey and analysis of microsatellites in giant panda (Ailuropoda melanoleuca), with a focus on the applications of a novel microsatellite marker system

Background

The giant panda (Ailuropoda melanoleuca) is a critically endangered species endemic to China. Microsatellites have been preferred as the most popular molecular markers and proven effective in estimating population size, paternity test, genetic diversity for the critically endangered species. The availability of the giant panda complete genome sequences provided the opportunity to carry out genome-wide scans for all types of microsatellites markers, which now opens the way for the analysis and development of microsatellites in giant panda.

Results

By screening the whole genome sequence of giant panda in silico mining, we identified microsatellites in the genome of giant panda and analyzed their frequency and distribution in different genomic regions. Based on our search criteria, a repertoire of 855,058 SSRs was detected, with mono-nucleotides being the most abundant. SSRs were found in all genomic regions and were more abundant in non-coding regions than coding regions. A total of 160 primer pairs were designed to screen for polymorphic microsatellites using the selected tetranucleotide microsatellite sequences. The 51 novel polymorphic tetranucleotide microsatellite loci were discovered based on genotyping blood DNA from 22 captive giant pandas in this study. Finally, a total of 15 markers, which showed good polymorphism, stability, and repetition in faecal samples, were used to establish the novel microsatellite marker system for giant panda. Meanwhile, a genotyping database for Chengdu captive giant pandas (n = 57) were set up using this standardized system. What’s more, a universal individual identification method was established and the genetic diversity were analysed in this study as the applications of this marker system.

Conclusion

The microsatellite abundance and diversity were characterized in giant panda genomes. A total of 154,677 tetranucleotide microsatellites were identified and 15 of them were discovered as the polymorphic and stable loci. The individual identification method and the genetic diversity analysis method in this study provided adequate material for the future study of giant panda.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1268-z) contains supplementary material, which is available to authorized users.

Effects of genotyping errors on parentage exclusion analysis

Genetic markers are widely used to determine the parentage of individuals in studies of mating systems, reproductive success, dispersals, quantitative genetic parameters and in the management of conservation populations. These markers are, however, imperfect for parentage analyses because of the presence of genotyping errors and undetectable alleles, which may cause incompatible genotypes (mismatches) between parents and offspring and thus result in false exclusions of true parentage. Highly polymorphic markers widely used in parentage analyses, such as microsatellites, are especially prone to genotyping errors. In this investigation, I derived the probabilities of excluding a random (related) individual from parentage and the probabilities of Mendelian-inconsistent errors (mismatches) and Mendelian-consistent errors (which do not cause mismatches) in parent-offspring dyads, when a marker having null alleles, allelic dropouts and false alleles is used in a parentage analysis. These probabilities are useful in evaluating the impact of various types of genotyping errors on the information content of a set of markers in and thus the power of a parentage analysis, in determining the threshold number of genetic mismatches that is appropriate for a parentage exclusion analysis and in estimating the rates of genotyping errors and frequencies of null alleles from observed mismatches between known parent-offspring dyads. These applications are demonstrated by numerical examples using both hypothetical and empirical data sets and discussed in the context of practical parentage exclusion analyses.

The Forensic and Investigative Significance of Reverse Paternity Testing With Absent Maternal Sample

The authors are involved in the extraction of DNA material from calcified tissues, oftentimes teeth, and analysis of such material to assist the investigative process, frequently by confirming the identity of the victim. Biologic or molecular techniques for the purposes of human identification have evolved to allow increasingly discriminating tests for use in criminal and noncriminal death investigations, as well as paternity disputes. The goal of such tests is to either include 2 samples (ie, they are from the same person, or in the case of paternity, they are from related individuals) or exclude 2 samples (ie, they are from different people or from unrelated individuals). Regardless of the system used and when data error has been eliminated, an exclusionary conclusion is irrefutable. The probability of excluding the falsely accused has steadily increased over the years as new methods are developed. Conventional ABO blood typing, for example, has a probability of exclusion (PE) of only 17%. This value increases to 53% with the inclusion of the Rh and MN systems. Additional serological markers can provide a probability of exclusion of greater than 99%. Today, the current method of choice for human identification is the polymerase chain reaction for the amplification of short tandem repeat (STR) multiplexes. This paper discusses the implications of nonpaternity in reverse paternity testing when only paternal DNA is available.

A report of the 2000 and 2001 paternity testing workshops of the English speaking working group of the international society for forensic genetics

During the last 10 years, the English Speaking Working Group (ESWG) of the International Society for Forensic Genetics (ISFG) has once a year arranged a Paternity Testing Workshop in which blood samples as well as a questionnaire concerning laboratory strategies were distributed to the participating laboratories. In 2000 and 2001, paper challenges were included in the workshops. Here, we present the results of the 2000 and 2001 Paternity Testing Workshops. The numbers of participating laboratories were 33 (2000) and 36 (2001). A total of 36% (2000) and 31% (2001) of the laboratories submitted typing results of variable number of tandem repeats (VNTRs) investigated with restriction fragment length polymorphism (RFLP) and single locus probes (SLPs). A total of 91% (2000) and 86% (2001) submitted typing results of polymerase chain reaction (PCR) based systems. Typing errors occurred in 0.3% of the submitted PCR-based results in 2000 and in 0.1% in 2001. The results of the paper challenges showed a high degree of variation in the formulas used for calculation of the weight of evidence of rare events such as inconsistencies or possible silent alleles. The majority of the laboratories used the same formulas for calculations of frequently occurring events.

Assessing probability of ancestry using simple sequence repeat profiles: applications to maize hybrids and inbreds

Determination of parentage is fundamental to the study of biology and to applications such as the identification of pedigrees. Limitations to studies of parentage have stemmed from the use of an insufficient number of hypervariable loci and mismatches of alleles that can be caused by mutation or by laboratory error and that can generate false exclusions. Furthermore, most studies of parentage have been limited to comparisons of small numbers of specific parent-progeny triplets thereby precluding large-scale surveys of candidates where there may be no prior knowledge of parentage. We present an algorithm that can determine probability of parentage in circumstances where there is no prior knowledge of pedigree and that is robust in the face of missing data or mistyped data. We present data from 54 maize hybrids and 586 maize inbreds that were profiled using 195 SSR loci including simulations of additional levels of missing and mistyped data to demonstrate the utility and flexibility of this algorithm.

Estimation of mutation rates from parentage exclusion data: applications to STR and VNTR loci

Nonpaternity is a common source of bias in estimating mutation rates when they are obtained from family data showing discordance of parental and children's genotypes. With the availability of hypervariable DNA markers, this source of bias can be largely eliminated. However, the proportion of cases where parentage exclusion is caused by presumed mutation(s) of parental alleles must be adjusted to obtain a valid mutation rate estimate. The present work derives the basis of this adjustment factor, called the proportional bias. This proportional bias depends upon the allele frequency distribution at the locus. The maximum and minimum bounds of the proportional bias depend on the number of alleles at the locus. Using data from Caucasian populations at tandem repeat loci commonly used for parentage testing and forensic identification purposes, we show that when mutation rates are estimated at these loci, the proportional bias is generally very close to the maximum possible value for the observed number of alleles (or binned fragment sizes) at each locus. The expected proportional bias decreases with increasing mutation rate at a locus. For the short tandem repeat loci, without bias correction, the direct count method can result in an underestimation of up to 60% of their true value. In contrast, for the minisatellite VNTR loci, even with crude measurements on allele sizes, we show that the absolute proportional bias is generally below the coefficient of variation of the direct estimates.