Highly accurate SNP genotyping from historical and low‐quality samples

Historical and other poor‐quality samples are often necessary for population genetics, conservation, and forensics studies. Although there is a long history of using mtDNA from such samples, obtaining and genotyping nuclear loci have been considered difficult and error‐prone at best, and impossible at worst. The primary issues are the amount of nuclear DNA available for genotyping, and the degradation of the DNA into small fragments. Single nucleotide polymorphisms offer potential advantages for assaying nuclear variation in historical and poor‐quality samples, because the amplified fragments can be very small, varying little or not at all in size between alleles, and can be amplified efficiently by polymerase chain reaction (PCR). We present a method for highly multiplexed PCR of SNP loci, followed by dual‐fluorescence genotyping that is very effective for genotyping poor‐quality samples, and can potentially use very little template DNA, regardless of the number of loci to be genotyped. We genotyped 19 SNP loci from DNA extracted from modern and historical bowhead whale tissue, bone and baleen samples. The PCR failure rate was < 1.5%, and the genotyping error rate was 0.1% when DNA samples contained > 10 copies/µL of a 51‐bp nuclear sequence. Among samples with ≤ 10 copies/µL DNA, samples could still be genotyped confidently with appropriate levels of replication from independent multiplex PCRs.     

Comparison and evaluation of Renibacterium salmoninarum quantitative PCR diagnostic assays using field samples of Chinook and coho salmon

Renibacterium salmoninarum is a Gram-positive bacterium causing bacterial kidney disease (BKD) in susceptible salmonid fishes. Several quantitative PCR (qPCR) assays to measure R. salmoninarum infection intensity have been reported, but comparison and evaluation of these assays has been limited. Here, we compared 3 qPCR primer/probe sets for detection of R. salmoninarum in field samples of naturally exposed Chinook and coho salmon first identified as positive by nested PCR (nPCR). Additional samples from a hatchery population of Chinook salmon with BKD were included to serve as strong positive controls. The 3 qPCR assays targeted either the multiple copy major soluble antigen (msa) genes or the single copy abc gene. The msa/non-fluorescent quencher (NFQ) assay amplified R. salmoninarum DNA in 53.2% of the nPCR positive samples, whereas the abc/NFQ assay amplified 21.8% of the samples and the abc/TAMRA assay 18.2%. The enzyme-linked immunosorbent assay (ELISA) successfully quantified only 16.4% of the nPCR positive samples. Although the msa/NFQ assay amplified a greater proportion of nPCR positive samples, the abc/NFQ assay better amplified those samples with medium and high ELISA values. A comparison of the geometric mean quantity ratios highlighted limitations of the assays, and the abc/NFQ assay strongly amplified some samples that were negative in other tests, in contrast to its performance among the sample group as a whole. These data demonstrate that both the msa/NFQ and abc/NFQ qPCR assays are specific and effective at higher infection levels and outperform the ELISA. However, most pathogen studies will continue to require multiple assays to both detect and quantify R. salmoninarum infection.     

Fast and cost‐effective single nucleotide polymorphism (SNP) detection in the absence of a reference genome using semideep next‐generation Random Amplicon Sequencing (RAMseq)

Biodiversity has suffered a dramatic global decline during the past decades, and monitoring tools are urgently needed providing data for the development and evaluation of conservation efforts both on a species and on a genetic level. However, in wild species, the assessment of genetic diversity is often hampered by the lack of suitable genetic markers. In this article, we present Random Amplicon Sequencing (RAMseq), a novel approach for fast and cost‐effective detection of single nucleotide polymorphisms (SNPs) in nonmodel species by semideep sequencing of random amplicons. By applying RAMseq to the Eurasian otter (Lutra lutra), we identified 238 putative SNPs after quality filtering of all candidate loci and were able to validate 32 of 77 loci tested. In a second step, we evaluated the genotyping performance of these SNP loci in noninvasive samples, one of the most challenging genotyping applications, by comparing it with genotyping results of the same faecal samples at microsatellite markers. We compared (i) polymerase chain reaction (PCR) success rate, (ii) genotyping errors and (iii) Mendelian inheritance (population parameters). SNPs produced a significantly higher PCR success rate (75.5% vs. 65.1%) and lower mean allelic error rate (8.8% vs. 13.3%) than microsatellites, but showed a higher allelic dropout rate (29.7% vs. 19.8%). Genotyping results showed no deviations from Mendelian inheritance in any of the SNP loci. Hence, RAMseq appears to be a valuable tool for the detection of genetic markers in nonmodel species, which is a common challenge in conservation genetic studies.     

Forensic identification of endangered Chinook Salmon (Oncorhynchus tshawytscha) using a multilocus SNP assay

Upper Columbia River spring-run Chinook salmon are listed as endangered under the Endangered Species Act (ESA). Forensic genetic analyses are needed to assist the National Oceanic and Atmospheric Administration Fisheries Office of Law Enforcement (NOAA Fisheries OLE) during criminal investigations of ESA take violations. Previous genetic studies using allozyme markers have demonstrated that the spring-run and summer-run of Chinook salmon in the Upper Columbia River are genetically differentiated. Because many of the carcasses collected as forensic evidence are of compromised quality, we have developed a PCR based assay to distinguish between the spring-run and the summer-run Chinook salmon in the upper Columbia River Basin. A total of 347 Chinook salmon samples from the upper Columbia River in Washington State were surveyed for single nucleotide polymorphisms (SNPs) using PCR-RFLP at two nuclear genetic loci (Somatolactin and Cytochrome p450A), and a mitochondrial locus (Cytochrome Oxidase III/ND3). We found near fixed differences in our SNP baseline between the summer-run and the spring-run Chinook salmon in the upper Columbia River at these loci enabling us to assign individuals to the most likely population of origin with a high degree of accuracy.     

The effect of input DNA copy number on genotype call and characterising SNP markers in the humpback whale genome using a nanofluidic array

Recent advances in nanofluidic technologies have enabled the use of Integrated Fluidic Circuits (IFCs) for high-throughput Single Nucleotide Polymorphism (SNP) genotyping (GT). In this study, we implemented and validated a relatively low cost nanofluidic system for SNP-GT with and without Specific Target Amplification (STA). As proof of principle, we first validated the effect of input DNA copy number on genotype call rate using well characterised, digital PCR (dPCR) quantified human genomic DNA samples and then implemented the validated method to genotype 45 SNPs in the humpback whale, Megaptera novaeangliae, nuclear genome. When STA was not incorporated, for a homozygous human DNA sample, reaction chambers containing, on average 9 to 97 copies, showed 100% call rate and accuracy. Below 9 copies, the call rate decreased, and at one copy it was 40%. For a heterozygous human DNA sample, the call rate decreased from 100% to 21% when predicted copies per reaction chamber decreased from 38 copies to one copy. The tightness of genotype clusters on a scatter plot also decreased. In contrast, when the same samples were subjected to STA prior to genotyping a call rate and a call accuracy of 100% were achieved. Our results demonstrate that low input DNA copy number affects the quality of data generated, in particular for a heterozygous sample. Similar to human genomic DNA, a call rate and a call accuracy of 100% was achieved with whale genomic DNA samples following multiplex STA using either 15 or 45 SNP-GT assays. These calls were 100% concordant with their true genotypes determined by an independent method, suggesting that the nanofluidic system is a reliable platform for executing call rates with high accuracy and concordance in genomic sequences derived from biological tissue.     

Multiplex preamplification PCR and microsatellite validation enables accurate single nucleotide polymorphism genotyping of historical fish scales

Incorporating historical tissues into the study of ecological, conservation and management questions can broaden the scope of population genetic research by enhancing our understanding of evolutionary processes and anthropogenic influences on natural populations. Genotyping historical and low-quality samples has been plagued by challenges associated with low amounts of template DNA and the potential for pre-existing DNA contamination among samples. We describe a two-step process designed to (i) accurately genotype large numbers of historical low-quality scale samples in a high-throughput format and (ii) screen samples for pre-existing DNA contamination. First, we describe how an efficient multiplex preamplification PCR of 45 single nucleotide polymorphisms (SNPs) can generate highly accurate genotypes with low failure and error rates in subsequent SNP genotyping reactions of individual historical scales from sockeye salmon (Oncorhynchus nerka). Second, we demonstrate how the method can be modified for the amplification of microsatellite loci to detect pre-existing DNA contamination. A total of 760 individual historical scale and 182 contemporary fin clip samples were genotyped and screened for contamination. Genotyping failure and error rates were exceedingly low and similar for both historical and contemporary samples. Pre-existing contamination in 21% of the historical samples was successfully identified by screening the amplified microsatellite loci. The advantages of automation, low failure and error rates, and ability to multiplex both the preamplification and subsequent genotyping reactions combine to make the protocol ideally suited for efficiently genotyping large numbers of potentially contaminated low-quality sources of DNA.     

Profiling the dead: generating microsatellite data from fossil bones of extinct megafauna--protocols, problems, and prospects

We present the first set of microsatellite markers developed exclusively for an extinct taxon. Microsatellite data have been analysed in thousands of genetic studies on extant species but the technology can be problematic when applied to low copy number (LCN) DNA. It is therefore rarely used on substrates more than a few decades old. Now, with the primers and protocols presented here, microsatellite markers are available to study the extinct New Zealand moa (Aves: Dinornithiformes) and, as with single nucleotide polymorphism (SNP) technology, the markers represent a means by which the field of ancient DNA can (preservation allowing) move on from its reliance on mitochondrial DNA. Candidate markers were identified using high throughput sequencing technology (GS-FLX) on DNA extracted from fossil moa bone and eggshell. From the 'shotgun' reads, >60 primer pairs were designed and tested on DNA from bones of the South Island giant moa (Dinornis robustus). Six polymorphic loci were characterised and used to assess measures of genetic diversity. Because of low template numbers, typical of ancient DNA, allelic dropout was observed in 36-70% of the PCR reactions at each microsatellite marker. However, a comprehensive survey of allelic dropout, combined with supporting quantitative PCR data, allowed us to establish a set of criteria that maximised data fidelity. Finally, we demonstrated the viability of the primers and the protocols, by compiling a full Dinornis microsatellite dataset representing fossils of c. 600-5000 years of age. A multi-locus genotype was obtained from 74 individuals (84% success rate), and the data showed no signs of being compromised by allelic dropout. The methodology presented here provides a framework by which to generate and evaluate microsatellite data from samples of much greater antiquity than attempted before, and opens new opportunities for ancient DNA research.     

Genetic variability and population structure of sockeye salmon from the Asian Coast of Pacific Ocean

Variability of six microsatellite loci and 45 single nucleotide polymorphism (SNP) loci was analyzed in 17 samples of sockeye salmon from 10 major spawning watersheds on the Asian coast of the Pacific Ocean. On the basis of the analysis of SNP loci variability of sockeye salmon in the examined part of the range, five population groups were identified, including local stocks from the Palana, Okhota, and Kamchatka rivers, as well as the population groups of Southwestern Kamchatka, and Northeastern Kamchatka and Chukotka. Rather different pattern of samples differentiation was obtained by estimating variability of six microsatellite DNA loci. Regional complexes of the eastern and western coasts of Kamchatka were identified. Moreover, sockeye salmon from the Palana River fell into the cluster of Western Kamchatka populations, while the population from the Okhota River and Meynypilgin lake–river system (Chukotka), confined to the subperiphery of the range, where the most differentiated from the others. The possible reasons for the discrepancies and high divergence of the Palana River and the Okhota River sockeye salmon populations, inferred from the SNP markers analysis, are discussed.     

Determination of the minimum number of microsatellite markers for individual genotyping in wild boar (Sus scrofa) using a test with close relatives

In the context of developing a noninvasive, practicable method for population size estimation in wild boar, we present a stepwise procedure to reduce the number of required microsatellite markers for individual genotyping. Step1: an initial marker set of 12 microsatellite loci was tested for species specificity with nontarget DNA and resulted in an exclusion of two markers. Step 2: a variability test regarding heterozygosity and deviations from Hardy–Weinberg equilibrium led to the rejection of two further markers. Step 3: the remaining eight markers were tested for transferability across populations with three separate wild boar sample sets. Step 4: on the basis of probability of identity values, a reduction from eight to five markers was possible. Step 5: a novel test using tissue samples from female wild boars and their embryos provided evidence that four variable microsatellite markers and one sex marker are sufficient for individual identification of close relatives. Step 6: feces samples were finally used to estimate PCR (PS) and genotyping success (GS). In conclusion, we recommend a specific four-marker combination with both PS and GS >50% for a reliable individual identification in noninvasive population size estimation of wild boar.     

Developing genomic resources for the common bottlenose dolphin (Tursiops truncatus): isolation and characterization of 153 single nucleotide polymorphisms and 53 genotyping assays

Although single nucleotide polymorphisms (SNPs) are commonly used in human genetics, they have only recently been incorporated into genetic studies of non‐model organisms, including cetaceans. SNPs have several advantages over other molecular markers for studies of population genetics: they are quicker and more straightforward to score, cross‐laboratory comparisons of data are less complicated, and they can be used successfully with low‐quality DNA. We screened portions of the genome of one of the most abundant cetaceans in U.S. waters, the common bottlenose dolphin (Tursiops truncatus), and identified 153 SNPs resulting in an overall average of one SNP every 463 base pairs. Custom TaqMan^® Assays were designed for 53 of these SNPs, and their performance was tested by genotyping a set of bottlenose dolphin samples, including some with low‐quality DNA. We found that in 19% of the loci examined, the minor allele frequency (MAF) estimated during initial SNP ascertainment using a DNA pool of 10 individuals differed significantly from the final MAF after genotyping over 100 individuals, suggesting caution when making inferences about MAF values based on small data sets. For two assays, we also characterized the basis for unusual clustering patterns to determine whether their data could still be utilized for further genetic studies. Overall results support the use of these SNPs for accurate analysis of both poor and good‐quality DNA. We report the first SNP markers and genotyping assays for use in population and conservation genetic studies of bottlenose dolphins.     

Universal SNP genotyping assay with fluorescence polarization detection

The degree of fluorescence polarization (FP) of a fluorescent molecule is a reflection of its molecular weight (Mr). FP is therefore a useful detection methodfor homogeneous assays in which the starting reagents and products differ significantly in Mr. We have previously shown that FP is a good detection method for the single-base extension and the 5'-nuclease assays. In this report, we describe a universal, optimized single-base extension assay for genotyping single nucleotide polymorphisms (SNPs). This assay, which we named the template-directed dye-terminator incorporation assay with fluorescence polarization detection (FP-TDI), uses four spectrally distinct dye terminators to achieve universal assay conditions. Even without optimization, approximately 70% of all SNP markers tested yielded robust assays. The addition of an E. coli ssDNA-binding protein just before the FP reading significantly increased FP values of the products and brought the success rate of FP-TDI assays up to 90%. Increasing the amount of dye terminators and reducing the number of thermal cycles in the single-base extension step of the assay increased the separation of the FP values benveen the products corresponding to different genotypes and improved the success rate of the assay to 100%. In this study the genomic DNA samples of 90 individuals were typed for a total of 38 FP-TDI assays (using both the sense and antisense TDI primers for 19 SNP markers). With the previously described modifications, the FP-TDI assay gave unambiguous genotyping data for all the samples tested in the 38 FP-TDI assays. When the genotypes determined by the FP-TDI and 5'-nuclease assays were compared, they were in 100% concordance for all experiments (a total of 3420 genotypes). The four-dye-terminator master mixture described here can be used for assaying any SNP marker and greatly simplifies the SNP genotyping assay design.     

Variability of size-age indices and genetic variability of sockeye salmon <Emphasis Type="Italic">Oncorhynchus nerka</Emphasis> from the Western Coast of Kamchatka: Comparative analysis of methods of differentiation of local populations

Study of variability of size-age indices and polymorphism of 6 microsatellite loci, 5 loci of SNP, and accidentally amplified polymorphic DNA (RAPD) of sockeye salmon Oncorhynchus nerka of three largest populations from the western coast of Kamchatka Peninsula was performed. The efficiency of using different types of markers for the differentiation of populations and determination of the population belonging of sockeye salmon from lake-river systems of western Kamchatka was analyzed. Significant interpopulation differences were revealed from the frequencies of alleles of genetic markers and from a set of biological indices. It was established that genetic markers are characterized by a better differentiating capacity, as compared to biological characteristics. The most satisfactory results during determination of population belonging of sockeye salmon were obtained using an integrated data base of allele frequencies of microsatellite and SNP loci.     

Development of 54 novel single-nucleotide polymorphism (SNP) assays for sockeye and coho salmon and assessment of available SNPs to differentiate stocks within the Columbia River

Single-nucleotide polymorphisms (SNPs) have potential for broad application in population and conservation genetics, but availability of these markers is limited in many nonmodel species. In this study, genomic and expressed sequence tagged (EST) sequences from closely related salmonids (Chinook salmon and rainbow trout) were used to design primers for amplification and sequencing of sockeye (Oncorhynchus nerka) and coho (Oncorhynchus kisutch) salmon DNA for SNP discovery. One hundred and six primer sets were designed and tested for amplification in each species. An ascertainment panel of 32 diverse individuals from each species was used as template for PCR amplification and Sanger sequencing. In total, 21,647 bases of consensus sequence were screened in sockeye salmon and 20,784 bases in coho salmon with 93 and 149 SNP sites identified, respectively. Sixty-four SNP sites were chosen for assay development, and 54 of the assays were validated by comparison with genotype and sequence data (O. nerka = 23; O. kisutch = 31). These validated SNP assays along with 142 other available SNP assays [O. nerka = 103 (126 total); O. kisutch = 30 (61 total)] were used to genotype collections of O. nerka (N = 5) and O. kisutch (N = 4) from various sites in the Columbia River to evaluate the utility of these markers in this region. Results from factorial correspondence analysis indicate that these SNP markers are capable of distinguishing O. nerka populations, but O. kisutch collections were less distinct because of their common ancestry.     

Techniques for noninvasive genetic monitoring of Alpine Ibex <Emphasis Type="Italic">Capra ibex</Emphasis>

Noninvasive sampling is of increasing importance for the molecular genetic monitoring of wild animal populations, although reduced quality and quantity of such samples’ DNA can affect genetic data and their subsequent interpretation. Consequently, we performed a pilot study to establish a feasible approach for the genetic investigation of free-ranging Alpine ibex Capra ibex Linnaeus, 1758 populations. Establishing an ibex-specific PCR-RFLP based on Cytochrome b gene differences allowed the discrimination of noninvasive ibex samples from those of other sympatric ungulates. In addition, we established a quantitative PCR for ibex samples. The quantification of 35 faecal samples clearly exhibited a strong variability of DNA contents among samples and individuals. Furthermore, we performed threefold genotyping experiments on six microsatellite loci to determine the extent of genotyping errors in reference to blood samples of the respective individuals. The analyses exhibited a strong dependence of erroneous microsatellite genotypes on the starting amount of template DNA. Variability in reliability was observed between individual loci, resulting in a mandatory high DNA concentration necessary for consistent genotyping. This study serves as basis for further ibex research and we propose the application of DNA quantification of faecal samples to focus genotyping efforts solely on suitable samples.     

High-quality genomic DNA extraction from formalin-fixed and paraffin-embedded samples deparaffinized using mineral oil

Extracting DNA from formalin-fixed and paraffin-embedded (FFPE) tissue remains a challenge, despite numerous attempts to develop a more effective method. Polymerase chain reaction (PCR) success rates with DNA extracted using current methods remain low. We extracted DNA from 140 long-term archived FFPE samples using a simple but effective deparaffinization method, removing the wax with mineral oil, and a commercially available DNA extraction kit. DNA quality was subsequently tested in a genotyping experiment with 14 microsatellite markers. High-quality DNA was obtained with a mean PCR success rate of 97% (range: 88–100%) across markers. The results suggested that DNA extracted using this novel method is likely to be suitable for genetic studies involving DNA fragments <200 bp.     

A test of the multiplex pre-amplification approach in microsatellite genotyping of wolverine faecal DNA

Recently, a two-step PCR approach, referred to as multiplex pre-amplification, was proposed to improve microsatellite amplification from non-invasive samples such as faecal DNA. Here, we compare this new approach to standard PCR with respect to amplification success and genotyping error rates in microsatellite analysis (18 markers) of wolverine faecal DNA (48 extracts initially shown to contain amplifiable DNA). The multiplex pre-amplification approach was clearly advantageous both in terms of successful PCR amplifications (91% vs. 80%) and allelic dropout rate (2.4% vs. 12.5%). However, dropouts were to a high extent repeated in all second-step amplifications following multiplex pre-amplification, indicative of being generated during the initial PCR. Analysing more than one PCR from the initial multiplex PCR product may thus be of limited value. We instead suggest to perform two initial multiplex PCRs and to analyse a single second-step PCR from each of them. This was tested for 22 extracts at 18 loci and proved to be an effective way to obtaining a correct genotype.     

A test of the efficacy of whole‐genome amplification on DNA obtained from low‐yield samples

Conservation and population genetic studies are sometimes hampered by insufficient quantities of high quality DNA. One potential way to overcome this problem is through the use of whole genome amplification (WGA) kits. We performed rolling circle WGA on DNA obtained from matched hair and tissue samples of North American red squirrels (Tamiasciurus hudsonicus). Following polymerase chain reaction (PCR) at four microsatellite loci, we compared genotyping success for DNA from different source tissues, both pre‐ and post‐WGA. Genotypes obtained with tissue were robust, whether or not DNA had been subjected to WGA. DNA extracted from hair produced results that were largely concordant with matched tissue samples, although amplification success was reduced and some allelic dropout was observed. WGA of hair samples resulted in a low genotyping success rate and an unacceptably high rate of allelic dropout and genotyping error. The problem was not rectified by conducting PCR of WGA hair samples in triplicate. Therefore, we conclude that WGA is only an effective method of enhancing template DNA quantity when the initial sample is from high‐yield material.     

Highly efficient multiplex PCR of noninvasive DNA does not require pre-amplification

Among the key issues determining success of a study employing molecular genetics tools in wildlife monitoring or research is a large enough set of highly informative genetic markers and a reliable, cost effective method for their analysis. While optimized commercial genotyping kits have been developed for humans and domestic animals, such protocols are rare in wildlife research. We developed a highly optimized multiplex PCR that genotypes 12 microsatellite loci and a sex determination locus in brown bear (Ursus arctos) faecal samples in a single multiplex PCR and a single sequencer run. We used this protocol to genotype 1053 faecal samples of bears from the Dinaric population, and obtained useful genotypes for 88% of the samples, a very high success rate. The new protocol outperformed the multiplex pre-amplification strategy used in a previous study of 473 faecal samples with a 78.4% success rate. On a subset of 182 samples we directly compared the performance of both approaches, and found no advantage of the multiplex pre-amplification. While pre-amplification protocols might still improve PCR success and reliability on a small fraction of low-quality samples, the higher costs and workload do not justify their use when analysing reasonably fresh non-invasive material. Moreover, the high number of multiplexed loci in the new protocol makes it comparable to commercially developed genotyping kits developed for domestic animals and humans.     

Discovery and characterization of single nucleotide polymorphisms in coho salmon,Oncorhynchus kisutch

Molecular population genetic analyses have become an integral part of ecological investigation and population monitoring for conservation and management. Microsatellites have been the molecular marker of choice for such applications over the last several decades, but single nucleotide polymorphism (SNP) markers are rapidly expanding beyond model organisms. Coho salmon (Oncorhynchus kisutch) is native to the north Pacific Ocean and its tributaries, where it is the focus of intensive fishery and conservation activities. As it is an anadromous species, coho salmon typically migrate across multiple jurisdictional boundaries, complicating management and requiring shared data collection methods. Here, we describe the discovery and validation of a suite of novel SNPs and associated genotyping assays which can be used in the genetic analyses of this species. These assays include 91 that are polymorphic in the species and one that discriminates it from a sister species, Chinook salmon. We demonstrate the utility of these SNPs for population assignment and phylogeographic analyses, and map them against the draft trout genome. The markers constitute a large majority of all SNP markers described for coho salmon and will enable both population‐ and pedigree‐based analyses across the southern part of the species native range.     

Testing advances in molecular discrimination among Chinook salmon life histories: evidence from a blind test

The application of DNA‐based markers toward the task of discriminating among alternate salmon runs has evolved in accordance with ongoing genomic developments and increasingly has enabled resolution of which genetic markers associate with important life‐history differences. Accurate and efficient identification of the most likely origin for salmon encountered during ocean fisheries, or at salvage from fresh water diversion and monitoring facilities, has far‐reaching consequences for improving measures for management, restoration and conservation. Near‐real‐time provision of high‐resolution identity information enables prompt response to changes in encounter rates. We thus continue to develop new tools to provide the greatest statistical power for run identification. As a proof of concept for genetic identification improvements, we conducted simulation and blind tests for 623 known‐origin Chinook salmon (Oncorhynchus tshawytscha) to compare and contrast the accuracy of different population sampling baselines and microsatellite loci panels. This test included 35 microsatellite loci (1266 alleles), some known to be associated with specific coding regions of functional significance, such as the circadian rhythm cryptochrome genes, and others not known to be associated with any functional importance. The identification of fall run with unprecedented accuracy was demonstrated. Overall, the top performing panel and baseline (HMSC21) were predicted to have a success rate of 98%, but the blind‐test success rate was 84%. Findings for bias or non‐bias are discussed to target primary areas for further research and resolution.