Nanomaterial-enhanced analytical methods have emerged as transformative platforms in forensic science, addressing critical sensitivity, selectivity, and operational limitations of conventional techniques across trace evidence, toxicology, biological fluid analysis, and nucleic acid profiling. Gold nanoparticles, quantum dots, carbon-based nanomaterials, and magnetic nanoparticles have collectively enabled detection capabilities at femtomolar to attomolar concentrations, multiplexed immunoassay formats, magnetically assisted sample preparation from degraded biological matrices, and enhanced PCR amplification from inhibitor-rich forensic specimens. Surface-enhanced Raman scattering, fluorescence-based transduction, and electrochemical sensing at nanocomposite electrode surfaces have each demonstrated performance profiles that substantially exceed conventional forensic analytical benchmarks. Despite these advances, the translation of nanomaterial platforms into accredited forensic casework remains constrained by nanoparticle aggregation instability, batch-to-batch synthesis variability, matrix-dependent signal suppression, and the absence of universally adopted validation frameworks governing limit of detection determination, measurement uncertainty quantification, and proficiency testing for nanomaterial-specific analytical modalities. Emerging innovations including portable handheld SERS devices, blockchain-integrated chain-of-custody architectures, molecularly imprinted polymer nanoparticle probes, and AI-augmented chemometric classification frameworks are collectively advancing the field toward real-time, field-deployable forensic analysis. Sustained progress requires parallel investment in international standardization, ethical governance of ultra-sensitive biological surveillance capabilities, and equitable access infrastructure ensuring that nanomaterial-enabled forensic precision serves justice systems globally.
Hypothesis. Among 20 confirmatory genealogical axis units (116 languages), pronunciation forms of three segments recur identically across at least three genealogically independent units less often than each unit's own phonotactics predicts: obs/E < 1.0 at form length 3. The direction is specified in advance; a ratio above 1.0 disconfirms the hypothesis rather than supporting it. Design. Confirmatory replication of a count. Forms are normalised to CLTS/BIPA, filtered by a grammatical-word exclusion, and grouped into clusters of identical segment sequences. A cluster counts when attested in at least 3 axis units and 3 languages. The observed number of length-3 clusters is compared with the expectation under a per-language positional bigram null refit on the same filtered corpus, reported with two uncertainty sources that are never pooled: Monte Carlo over 1000 null replicates, and a bootstrap over the 20 axis units. The confirmatory arm has not been analysed. The registered quantity has never been computed for any confirmatory unit. The blind is verified, not asserted: urortkontroll.py, included here, checks four independent traces and reports one stated limitation rather than claiming absolute untouchedness. The decision rule was fixed in advance and is cryptographically timestamped: if the 95% interval from either uncertainty source covers 1.0, the result does not stand. That record is anchored in Bitcoin block 960700. Identity relation, null model and adequacy bands were each fixed in a decision record committed before the measurement it governs. Resource type: Zenodo's vocabulary contains no 'preregistration' type. 'Preprint' is the nearest available and is used for that reason alone. Not included: the corpus, the population files, and the exploratory/confirmatory split assignment — publishing the assignment would reveal the confirmatory half.
Within the context of digital forensics, the integrity and authenticity of digital evidence are crucial for its legal admissibility within a courtroom setting. Chain of Custody (CoC) processes ensure that digital evidence is meticulously managed and documented from its point of origin until its use in legal proceedings. As the importance of digital forensics increases, especially with cybercrime investigations, the traditional processes used in traditional Chain of Custody have challenges in terms of transparency, security, and efficiency. This paper highlights some of the recent developments in Chain of Custody processes, particularly with the adoption of blockchain and Artificial Intelligence technologies. Blockchain technology, known for its impenetrable and distributed properties, introduces a new paradigm for Chain of Custody processes, enhancing security and traceability for digital evidence management. Additionally, AI-based algorithms for anomaly detection have the potential for increasing the reliability of Chain of Custody processes. Moreover, we will explore the decentralized evidence storage approaches and privacy-preserving mechanisms, such as zero-knowledge proofs. These are important in ensuring that more secure yet transparent approaches in managing distributed forensic investigation systems are achieved. The effectiveness of currently used CoC approaches presents lessons in understanding the future of improving the integrity of this process. Such innovations have the potential of revolutionizing the field of digital forensic investigation processes while ensuring that the handling of such evidence is of the highest integrity.
Forensische Notizen und Sicherungserklärung Beweishandhabung, Metadatenintegrität und Chain of Custody Geltungsbereich Diese Erklärung dokumentiert die Handhabung, Sicherung und Bewahrung digitaler Beweismittel im Rahmen des forensisch-wissenschaftlichen Gutachtens SIA Security Intelligence Artefact – Technologie, Software und Familien-Historie Aktenzeichen: INT-CODE-2025-BTC/ETH-CORE-ISABELSCHOEPSTHIEL bitte beachten Sie mein HELPME.md Beweishandhabung und Nicht-Veränderungs-Grundsatz Alle relevanten Dateien, einschließlich Rohdaten, Quellmaterialien und dokumentarischer Artefakte, wurden in einen dedizierten Evidence-Ordner überführt. Der interne Dateiinhalt wurde nicht verändert. Es wurden weder Code, Text, Metadaten, Autoreneinträge, Benutzerkennungen, Zeitstempel noch sonstige Provenienzangaben modifiziert. Insbesondere unverändert erhalten blieben: Ursprüngliche Ersteller und Mitwirkende gemäß Metadaten Benutzerkennungen und Autorschaftsspuren Zeitstempel, Hashes und interne Verlaufsdaten Programmiersprache, Workflow-Logik und interne Struktur Die ursprüngliche Herkunft und Urheberschaft jeder Datei ist damit vollständig forensisch auslesbar und beweissicher erhalten. Dateisystem-Sicherungsmaßnahmen Um eine weitere Ausführung, Verbreitung oder operative Nutzung potenziell schädlicher Workflows zu verhindern, wurden ausschließlich externe Ordner- und Dateinamen auf Dateisystemebene angepasst. Diese Maßnahmen beschränkten sich auf: Umbenennung von Ordnern und Top-Level-Dateinamen Deaktivierung von ausführbaren oder workflow-auslösenden Bezeichnungen Der Dateiinhalt, der Code und sämtliche Metadaten blieben unangetastet. Diese Maßnahmen dienten ausschließlich der Gefahrenabwehr bei gleichzeitiger vollständiger Beweissicherung. Ethischer und rechtlicher Kontext Im Rahmen der Sichtung wurden Hinweise auf schwere ethische und rechtliche Verstöße festgestellt, unter anderem: Unbefugte Datenmanipulation Datenmissbrauch und Datendiebstahl Aneignung geistigen Eigentums Invasive Profilierungs- oder Auswertungspraktiken Aus diesem Grund wurde die operative Ausführbarkeit neutralisiert, während die forensische Beweisstruktur vollständig erhalten blieb. Screenshot-basierte Beweissicherung Zur Dokumentation wurden an allen relevanten Stellen Screenshots erstellt und dem Evidence-Ordner beigefügt. Die Screenshots: sind unbearbeitet und unbeschriftet enthalten die ursprüngliche Ordner- und Dateistruktur zeigen die sichtbaren Benutzernamen, Akteure und Eigentümer der jeweiligen Verzeichnisse Dadurch bleiben alle beteiligten Accounts, Strukturen und Verantwortlichkeiten objektiv nachvollziehbar. Forensische Integrität Alle Maßnahmen wurden unter Einhaltung folgender Prinzipien durchgeführt: Keine Kontamination der Originaldaten Keine Veränderung von Metadaten Vollständige Nachvollziehbarkeit für unabhängige Forensik Sicherung der gerichtlichen Verwertbarkeit Alle Materialien sind hash-prüfbar, chain-of-custody-fähig und für externe Gutachten geeignet. Signatur und Verwahrung Unterzeichnet und bestätigt durch: Frau Isabel Schöps, geborene Thiel Cyriakstraße 30c D-99094 Erfurt Thüringen, Deutschland Rolle: Autorin, Rechteinhaberin, Hauptverwahrerin ORCID (Person): 0009-0003-4235-2231 https://orcid.org/0009-0003-4235-2231/print ORCID (Institutionell / Projekt): 0009-0006-8765-3267 https://orcid.org/0009-0006-8765-3267/print Diese Erklärung ist Bestandteil der DOI-archivierten Chain of Custody und dient der rechtlichen, forensischen und menschenrechtlichen Prüfung. Englisch Forensic Notes and Preservation Statement Evidence Handling, Metadata Integrity and Chain of Custody Scope This note documents the handling, preservation, and safeguarding of digital evidence associated with the forensic-scientific work SIA Security Intelligence Artefact – Technology, Software and Family History Case Reference: INT-CODE-2025-BTC/ETH-CORE-ISABELSCHOEPSTHIEL Evidence Handling and Non-Alteration Policy All relevant files, including raw data, source materials, and documentary artefacts, were transferred into a dedicated Evidence directory for preservation and review. No internal file contents were modified. No code, text, metadata, authorship fields, user identifiers, timestamps, or embedded provenance information were altered. Specifically preserved without change: Original creators and contributors as recorded in file metadata User identifiers and authorship traces Timestamps, hashes, and internal history Programming language, workflow logic, and structural dependencies inside the files The original provenance and authorship of each file therefore remain fully readable and forensically extractable. File System Safety Measures To prevent any further unintended execution, propagation, or operational misuse of potentially harmful workflows, only external file and folder names were adjusted at the file-system level. These actions were limited to: Renaming folders and top-level file names Disabling executable or workflow-triggering identifiers No internal data, code, or metadata were altered. These measures were implemented solely to prevent further operational impact while preserving evidentiary value. Ethical and Legal Context During review, multiple files indicated serious ethical and legal concerns, including but not limited to: Unauthorized manipulation of data Data misuse and data theft Misappropriation of intellectual property Invasive profiling or exploitative data practices For this reason, operational execution was neutralized while forensic preservation was strictly maintained. Screenshot-Based Evidence Capture For evidentiary verification, screenshots were taken at each relevant stage and stored within the Evidence directory. The screenshots: Remain unedited and unlabelled Preserve original folder structures and visual context Display usernames, account identifiers, and responsible actors visible at the time of capture This ensures that all observed actors, file ownerships, and directory relationships remain objectively documented and reviewable. Forensic Integrity All actions taken were designed to satisfy the following principles: No contamination of original data No destruction or modification of metadata Full traceability for independent forensic analysis Preservation of evidentiary admissibility All materials are suitable for hash verification, chain-of-custody tracking, and independent expert review. Signature and Custodianship Signed and certified by: Frau Isabel Schöps, née Thiel Cyriakstraße 30c D-99094 Erfurt Thuringia, Germany Role: Author, Rights Holder, Principal Custodian ORCID (Individual): 0009-0003-4235-2231 https://orcid.org/0009-0003-4235-2231/print ORCID (Institutional / Project): 0009-0006-8765-3267 https://orcid.org/0009-0006-8765-3267/print This statement forms part of the DOI-archived Chain of Custody and is intended for legal, forensic, and human-rights review. Meine Referenz Datenbank, verknüpft mit meinem aktuellen GitHub-Account* Meine Ersuchen an die Vereinten Nationen - Bitte helfen Sie mir Schöps geb. Thiel, I. (2025). Meine Ersuchen an die Vereinten Nationen - Bitte helfen Sie mir (Zenodo.org). Zenodo.org, University of Harvard harvard.edu, Oxford University ox.ac.uk, Cambridge UK, Reuters.com, New York Times nyt.com, Springer Nature Springer.com, GitHub github.com, University Arizona, Vereine Nationen UN unric.org,. https://doi.org/10.5281/zenodo.18025762 Zenodo-Datenbank und Chain of Custody Volumen 4 Schöps (Thiel), I., Schöps (Thiel), I. und Schöps geb. Thiel, I. (2025) "Yellow White Paper – Bitcoin & Ethereum", Yellow White Paper – Bitcoin & Ethereum. 1st Aufl. D-99094 Erfurt, Thueringa, Germany: Harvard University, University Cambridge, University of Oxford, Springer Nature, Zenodo, S. 109 pages. doi:10.5281/zenodo.17807324. Volumen 3 Schöps geb. Thiel, I. (2025) SIA Security Intelligence Artefact – Volume 3 - Familiäre Erblinie deutschen Monarchie und letzten Kaiserreich. 1st Aufl, The Decline and Fall of the Habsburg Empire, 1815-1918. 1st Aufl. Zenodo, University Harvard Cambridge Press, Oxford University Press Lizenz-ID 6131130060979, Springer Verlag. doi:10.5281/zenodo.18013057. Volumen 2 Schöps geb. Thiel, I. (2025) "Volumen 2 - SIA-Security-ntelligence-Artefact-Chain-of-Custody-Forensische-Familien-Monarchielinie-copyright-isabelschoepsthiel-urheberin-autorin-.docx.pd", Trillion Dollar Bitcoin. 1st Aufl. D-99094 Erfurt, Germany, Thüringen: Zenodo, University Harvard Cambridge Press, Oxford University Press Lizenz-ID 6131130060979, Springer Verlag. doi:10.5281/zenodo.17852789. Volumen 1 Schöps geb. Thiel, I. (2025) "Volumen 1 - SIA Security Intelligence Artefact by Isabel Schoeps geb. Thiel", Trillion Dollar Bitcoin. 1st Aufl. D-99094 Erfurt, Germany, Thüringen: Zenodo, University Harvard Cambridge Press, Oxford University Press Lizenz-ID 6131130060979, Springer Verlag. doi:10.5281/zenodo.17809724. My Developer Signatur Signed-on-by: Frau Isabel Schöps, geborene Thiel Autorin, Urheberin und Auftraggeberin Rechtscharakter: Eidesstattliche Versicherung, Bestandteil des forensisch, wissenschaftlichen Gutachtens Titel: SIA Security Intelligence Artefact internationinternationale Kennung: INT-CODE-2025-BTC/ETH-CORE-ISABELSCHOEPSTHIEL OrcID: 0009-0003-4235-2231 Isabel Schöps Thiel OrcID: 0009-0006-8765-3267 SI-IST Isabel Schöps Aktueller Wohnort und Meldeanschrift: Cyriakstrasse 30c, D-99094 Erfurt, Thüringen, Deutschland, gemeinsam mit meinen vierbeinigen Freund, American XL-Bully Don Offizielle institutionelle Würdigung, Danksagung - Präfix_Referenz: YWP-1-IST-SIA YWP-1-5-IST-SIA Pseudonyme und Alias: Satoshi Nakamoto, Vitalik Buterin, GitHub, Octocat, Johnny Appleseed, IST-GitHub, Cristina_Bella, Nick Szabo, John Appleseesd Offizielles weltweit erstes Developer Certifikat: Developercertificate <img width="642" he
DNA fingerprinting and matching for identifying suspects has been a common practice in criminal investigation. Such proceedings involve multiple parties such as investigating agencies, suspects and forensic labs. A major challenge in such settings is to carry out the matching process between the suspects' DNA samples and the samples obtained from the crime scene without compromising the privacy of the suspects' DNA profiles. Additionally, it is necessary that sensitive details pertaining to the investigation such as the identities of the suspects and evidence obtained from the crime scene must be kept private to the investigating agency. We present a novel DNA matching scheme, termed as PrivaMatch, which addresses multiple concerns about privacy of the suspects' DNA profiles and the crime scene evidence. In the proposed scheme, the investigating agencies oblivious transfer and zero-knowledge proofs to privately obtain the DNA profiles of the suspects from the forensic lab's database.In addition, we present a clever data obfuscation technique using homomorphic encryption and modular arithmetic for the investigating agency to privately obtain the DNA profile of the crime scene's sample, keeping the profile oblivious from the forensic lab. The DNA profile of the crime scene sample is operated on using a homomorphic cryptosystem such that neither of the parties (e.g., the investigation agency, forensic labs, DNA database owners) learns about the private data of the other parties. The proposed scheme is analysed formally and the practicality of its security strengths is verified using simulations under standard assumptions.
Abdulfatai Tomori Bakare, Anas Yakubu, Abubakar Ahmad, A Attahiru · 9 authors
Cryptocurrency has emerged as a new tool for commerce, and it has some similarities to gambling, frequently leading to financial bankruptcy, which can predispose, precipitate, or perpetuate mood disorders, suicide attempts and suicide. We report a case of a 26 year old single unemployed man who attempted suicide following financial bankruptcy due to sharp decline in the market value of Bitcoin. Prior to the attempt; he had history of depressed mood, loss of interest and enjoyment. He had psychomotor retardation, depressed mood and preoccupied with suicidal thoughts. He was managed as a case of attempted suicide secondary to severe depressive episode without psychotic symptoms. Financial loss associated with cryptocurrencies is a potential risk factor that may adversely affect emotional well-being and leads to severe depressive episode with suicidal attempts. There is need for public enlightenment on the negative impact of the possible financial loss in cryptocurrencies transaction may have on mental health.
When digital evidence is presented in front of a court of law, it is seldom associated with a scientific evaluation of its relevance, or significance. When experts are challenged about the validity of the digital evidence, the general answer is "yes, to a reasonable degree of scientific certainty". Which means all and nothing at the same time, since no scientific metric is volunteered. In this paper we aim at providing courts of law with weighted digital evidence. Each digital evidence is assigned with a confidence rating that eventually helps juries and magistrates in their endeavor. This paper presents a novel methodology in order to:
Natural populations present an abundant genetic variability. Like mutation or natural se- lection, dierent processes are at stake to generate this variability. Population genetics is a topic that emerged in the late 40's, thanks mainly to the biologists Fisher and Wright. Its goal is to analyze and understand the interactions between those evolutionary processes. Among others, a byproduct of this eld has been the development of evolutionary models that try to explain how genetic information is transmitted along a genealogy of individuals sampled in the same population or in distinct ones but from the same species. Simpler models are non spatial, i.e. dealing with individuals as if they were in the same location; more complicated models suppose the population to be distributed on a lattice, but the most interesting ones consider the individuals to be distributed in a spatial continuum, leading to a leap in the complexity of the model. Nowadays, genetic information has become very cheap and abundant, but the computer power required to process all this data has not followed the growth of data availability, and especially in the case of spatial models. The intersection between population genetics and computational biology, in which this project takes place, is actively working on ways to make those computations faster. In this project we focus on one particular model, called the spatial A-Fleming Viot. This model, that appeared in the literature less than ten years ago, alleviates mathematical problems that hampered classical (spatial) models, and that Felsenstein pointed out in 1975. The general goal of this work is to investigate this model and the statistical inference of its parameters - i.e. nding the values of parameters of the model, given a sample of a population at present time (that evolved under the model). Inference methods have already been proposed, for instance using Markov Chain Monte Carlo, in Guindon et al. [2016], but, particularly because of the spatial dimension, those methods are computationally intensive. Finding ways of simplifying the problem, and making the computations faster is the object of current research. In section 1 we will present the rst model that has been proposed, in 1943 and 1948 by Wright and Fisher, along with the Kingman coalescent, proposed in 1982, that proposes to build a genealogy by going backwards in time. We will also brie y describe more recent models that try to take into account the spatial dimension. In section 2 - which is a bibliographic study - we will define the spatial -Fleming Viot, which is a measure-valued process, thus already requiring theoretical tools to get a full understanding of its definition. We will also give the proof of a fundamental property the model: time reversibility. In section 3 - which is a personal study of the spatial -Fleming Viot - we give a basis for comparison between this model and others by computing, both theoretically and by simulations, two parameters of interest that give a good description a modelled population. In the last section we focus on inference. This more theoretical part oers the description of an importance sampling inference scheme using time reversal as a proposal distribution, that applies generally to the case of rare events modelling, and that was explained by Koskela in his PhD thesis in 2016. Then we propose a way to simplify this scheme by making use of a particular type of genetic information: the Single Nulceotide Polymorphisms (SNPs).
Dear Sir, In science, it is not surprising to have exciting claims later refuted by hard evidence – although it may even be harder to have them corrected in the same journal where they originally appeared (Don't challenge a winning paper: Bär, 2006). One of the main reasons why false claims could pass through peer reviewing and eventually appear in print is (i) limited knowledge about certain genetic markers in a newly emerging field at the time of submission or (ii) insufficient screening of the published data for comparison and (iii) inadvertent documentation and analysis of the novel data underlying such claims. It may then take some years before the true causes for a particular finding would come to light. This apparently applies to the remarkable claim made by Holyoake et al. (2001) that the mitochondrial DNA (mtDNA) mutations G9055A and G11719A would compromise the semen quality of those men who possess any of these mutations in their mtDNAs (leading to reduced sperm motility and/or low sperm count). This study won the 2nd Prize of the European Academy of Andrology in 2001 – a winning paper, thus. The results of this study were aptly challenged by Montiel-Sosa et al. (2002), who (i) pointed to the fact that site 11719 determines a basal European mtDNA haplogroup (nowadays referred to R0), (ii) hinted at the peculiar frequency of the 11719 polymorphism as reported by Holyoake et al. (2001), and (iii) argued that ethnic origins of samples in a mixed population would matter and that 'the control and low sperm motility group could be non-homogenous'. Indeed, no reference to haplogroups, constituting the major branches of the mtDNA phylogeny, was made in the study by Holyoake et al. (2001), although it was submitted at a time (September 2000) where the role of the two particular (G9055A and G11719A) and other mutations was already quite well understood. Holyoake et al. (2002) in their reply to Montiel-Sosa et al. (2002) emphasized that they were only 'interested in single nucleotide substitutions in relationship to poor semen quality'. This popular 'allelic' approach gleaned from the analysis of the nuclear genome, however, is patently unsuitable for a deeply hierarchical genetic system such as mtDNA. First, the allelic view ignores the tight link between different mutations in the mtDNA phylogeny (as between G9055A and G11719A). Clusters of mutations would show up together and could then not serve as independent indicators of a disease phenotype. Second, disregard for the mtDNA phylogeny leaves out the option of phylogenetic proof-reading of obtained mtDNA results in regard to potential errors (Bandelt et al., 2005a). Not unexpectedly, the detailed haplogroup analysis of Pereira et al. (2005) for a large Portuguese sample did not support the notion that men carrying an mtDNA from a specific haplogroup overall had an increased or a reduced risk of infertility. These authors also warned that the observation by Ruiz-Pesini et al. (2000) that 'haplogroups H and K are significantly more abundant in nonasthenozoospermic and asthenozoospermic populations, respectively' may have been caused by population stratification. As long as patients and controls are not controlled for ethnic background, geographical matrilineal ancestry and social stratum (which certainly matters in countries with a considerable record of recent immigration), mere correlation of a mutation/haplogroup with a disease phenotype may be spurious and thus cannot provide sufficient evidence for an association. The complete mtDNA data of Ingman et al. (2000) as well as the RFLP-based analysis of West Eurasian mtDNAs of Macaulay et al. (1999) would have provided the necessary background information for the SSCP analysis aimed at by Holyoake et al. (2001). Curiously, the Ingman et al. (2000) study was referred to in a later article (Gemmell & Sin, 2002) by the same senior author (F. Y. T. Sin), but apparently without reappraising the findings of his former paper. If the data by Ingman et al. (2000) had been inspected at the time, then it would have become clear that the frequencies of the mutations observed by Holyoake et al. (2001) are mutually inconsistent and thus cannot realistically correspond to real-world data. To see this, take a preview of the worldwide mtDNA phylogeny as seen from the early Ingman et al. (2000) data, but now enriched with the up-to-date information about the nesting of the corresponding haplogroups, as displayed in Figure 1 of Bandelt et al. (2006). Nucleotide A at site 8860 is shared by virtually all mtDNAs worldwide that are not closest relatives of the revised Cambridge reference sequence (rCRS; Andrews et al., 1999). In Table 3 of Holyoake et al. (2001) the frequencies are recorded as 2/102 and 1/59 instead of the expected frequency of (nearly) 100%! The other frequencies in that table do not fare much better. Virtually all mtDNAs not belonging to the basal West Eurasian haplogroup R0 (which encompasses the sister haplogroups R0a and HV) bear the characteristic mutation G11719A. Assuming the frequency for this mutation in 'normozoospermic' men reported by Holyoake et al. (2001), one would be forced to conclude that all 80 control mtDNAs are members of haplogroup R0 (Table 1). Such a population sample has never been observed anywhere in the world. Moreover, this zero frequency is at odds with the other mutation frequencies recorded, as there is evidence that the other two basal West Eurasian haplogroups, JT and U (including K), were observed in both, the 'normozoospermic' and the 'subnormozoospermic' men (Table 1). The two frequencies of G11719A, on their own, are thus far apart from any realistic value, indicating that the recognition of G11719A via SSCP analysis must have been strongly hampered by technical problems. There is, by the way, little evidence that Polynesian mtDNAs played a noticeable role, because the vast majority of them would fall into a specific branch of haplogroup B. This haplogroup would be pinpointed by the 9 base-pair (bp) deletion, which, however, was found at a meagre 2.8% in the total sample. Note that the 9-bp deletion is also seen sporadically on many haplogroup backgrounds other than B. Furthermore, potential Sub-Saharan African mtDNA mutations (possibly C7789A) or (South-)East Asian mtDNA mutations (possibly G7853A) are present (if at all) at similarly minor frequencies; thus, in particular, the suggestion of considerable African mtDNA ancestry (Montiel-Sosa et al., 2002) receives no support from the data. Therefore, the vast majority (perhaps >95%) of mtDNAs analysed by Holyoake et al. (2001) must have been of European descent. Table 4 of Holyoake et al. (2001), which provides the full haplotype information, indicates further problems. Mutations that would be expected to be linked with other mutations in view of the above inequalities are not just absent but show up in unexpected combinations, almost random-like, which would rather suggest sample mix-up. Moreover, the haplogroup K mutation G9055A should always entail the mutation G11719A specific to non-R0 lineages, but according to that table, both mutations are rather unlinked. In the present Table 2, some haplotypes from Table 4 of Holyoake et al. (2001) are listed that combine at least two mutations. In three cases, all from the 'subnormozoospermic' group, one observes potentially mosaic patterns (Table 2). The best explanation for the odd frequency spectrum as well as the incomplete and mosaic haplotypes is, in the first place, massive failure of the SSCP analysis carried out by Holyoake et al. (2001). Such a mis-analysis is not an infrequent phenomenon in medical genetics (see e.g. Bandelt et al., 2005b). But why would have 'subnormozoospermia' triumphed over 'normozoospermia' e.g. in the screening of G11719A? And why would the 11719 polymorphism, if deemed crucial for 'subnormozoospermia', have only been analysed in a meagre 33 instead of, say, 131 patients? And what about G9055A? A normal mtDNA sample of predominantly mixed European descent would hardly show so few (<1%) haplogroup K members (Behar et al., 2006). The consistent trend in identifying mutations at frequencies that are far too low, especially for the 'normozoospermic' group, could suggest that the SSCP analysis was biased and effectively carried out only for a minority of the samples. It then seems that the number of fully screened mtDNAs was smaller for the 'normozoospermic' group than for the 'subnormozoospermic' group. In summary, there is no solid evidence that primary mtDNA substitutions other than recognized pathogenic mutations, mainly in heteroplasmic state, which usually cause complex disease phenotypes, influence sperm motility in any way. Therefore, it would be premature to accept all hypotheses and interpretations put forward by Gemmell & Sin (2002) and St. John et al. (2005), who took the results of Ruiz-Pesini et al. (2000) and Holyoake et al. (2001) at face value. Before far-reaching implications are discussed, the underlying data should come under scrutiny first. It would certainly be desirable to re-study the mtDNA samples employed by Holyoake et al. (2001) by performing highest quality sequencing. In any case, there is an urgent need for a new start of mtDNA analysis of samples from men with idiopathic infertility (or subfertility) by complete mtDNA sequencing in order to provide a solid database to which any subsequent case studies could get compared and evaluated. The most recent work of Pereira et al. (2007) is a promising first step in this direction.