How Indigenous communities in New Zealand are protecting their data.

Concerns about the ethical use of data, privacy, and data harms are front of mind in many jurisdictions as regulators move to impose tighter controls on data privacy and protection, and the use of artificial intelligence (AI). Although efforts to hold corporations to account for their deployment of data and data-driven technologies have been largely welcomed by academics and civil society, there is a growing recognition of the limits to individual data rights, given the capacity of tech giants to link, surveil, target, and make inferences about groups. Questions about whether collective data rights exist, and how they can be recognized and protected, have provided fertile ground for researchers but have yet to penetrate the broader discourse on data rights and regulation.

IGG in the trenches: Results of an in-depth interview study on the practice, politics, and future of investigative genetic genealogy.

Investigative genetic genealogy (IGG) is a new technique for identifying criminal suspects and unidentified deceased and living persons that has sparked controversy. In a criminal case, the technique involves uploading genetic information left by a putative perpetrator at the crime scene to one or more direct-to-consumer genetic genealogy databases with the intention of identifying the perpetrator's genetic relatives and, eventually, locating the perpetrator on the family tree. In 2018, IGG helped to identify the Golden State Killer, and it has since been used in hundreds of investigations in the United States. Here, we report findings from in-depth interviews with 24 U.S.-based individuals involved in IGG that are relevant to the technique's current practice and predicted future. Key findings include: an emphasis on restricting IGG as a conceptual and technical matter to lead generation; the rapid growth of a private and largely self-regulating industry to support IGG; general recognition of three categories of cases associated with distinct practical, ethical, and policy questions, as well as varying degrees of controversy; and the significant influence of perceived public opinion on IGG practice. The experiences and perspectives of individuals in the IGG trenches related to these and other issues are potentially useful inputs to ongoing efforts to regulate the technique.

Returning personal genetic information on susceptibility to arsenic toxicity to research participants in Bangladesh.

BACKGROUND: There is growing consensus that researchers should offer to return genetic results to participants, but returning results in lower-resource countries has received little attention. In this study, we return results on genetic susceptibility to arsenic toxicity to participants in a Bangladeshi cohort exposed to arsenic through naturally-contaminated drinking water. We examine the impact on behavioral changes related to exposure reduction. METHODS: We enrolled participants from the Health Effects of Arsenic Longitudinal Study who had (1) high arsenic (≥150 µg/g creatinine) in a recent urine sample and (2) existing data on genetic variants impacting arsenic metabolism efficiency (AS3MT and FTCD). We used genetic data to recruit three study groups, each with n = 103: (1) efficient metabolizers (low-risk), (2) inefficient metabolizers (high-risk), and (3) a randomly-selected control group (NCT05072132). At baseline, all participants received information on the effects of arsenic and how to reduce exposure by switching to a low arsenic well. The two intervention groups also received their arsenic metabolism efficiency status (based on their genetic results). Changes in behavior and arsenic exposure were assessed using questionnaires and urine arsenic measures after six months. RESULTS: Clear decreases in urine arsenic after six months were observed for all three groups. The inefficient group self-reported higher levels of attempted switching to lower arsenic wells than the other groups; however, there was no detectable difference in urine arsenic reduction among the three groups. Participants showed strong interest in receiving genetic results and found them useful. The inefficient group experienced higher levels of anxiety than the other groups. Among the efficient group, that receiving genetic results did not appear to hinder behavioral change. CONCLUSION: Returning genetic results increased self-reported exposure-reducing behaviors but did not have a detectable impact on reducing urine arsenic over and above a one-on-one educational intervention.

[DNA everywhere]. / Notre ADN est partout !

Advanced analysis of environmental DNA for diversity monitoring using deep sequencing reveals the presence of human DNA in many samples connected to human activity.Moreover, this DNA is in relatively good condition and can be used for genetic survey of populations and even individuals. This opens many interesting scientific opportunities but also raises serious privacy issues.

The Genetic Information Privacy Act: Drawbacks and Limitations.

This Viewpoint discusses proposed and enacted state legislation to protect genetic privacy for those participating in direct-to-consumer genetic testing and ensuring genetic antidiscrimination for life, health, long-term care, and disability insurance.

DisVar: an R library for identifying variants associated with diseases using large-scale personal genetic information.

Background: Genetic variants may potentially play a contributing factor in the development of diseases. Several genetic disease databases are used in medical research and diagnosis but the web applications used to search these databases for disease-associated variants have limitations. The application may not be able to search for large-scale genetic variants, the results of searches may be difficult to interpret and variants mapped from the latest reference genome (GRCH38/hg38) may not be supported. Methods: In this study, we developed a novel R library called "DisVar" to identify disease-associated genetic variants in large-scale individual genomic data. This R library is compatible with variants from the latest reference genome version. DisVar uses five databases of disease-associated variants. Over 100 million variants can be simultaneously searched for specific associated diseases. Results: The package was evaluated using 24 Variant Call Format (VCF) files (215,054 to 11,346,899 sites) from the 1000 Genomes Project. Disease-associated variants were detected in 298,227 hits across all the VCF files, taking a total of 63.58 m to complete. The package was also tested on ClinVar's VCF file (2,120,558 variants), where 20,657 hits associated with diseases were identified with an estimated elapsed time of 45.98 s. Conclusions: DisVar can overcome the limitations of existing tools and is a fast and effective diagnostic and preventive tool that identifies disease-associated variations from large-scale genetic variants against the latest reference genome.

Defining Genetic Privacy in the Context of Sports Genetic Testing in athletes / Definición de privacidad genética en el contexto de las pruebas genéticas deportivas en deportistas

The safeguarding of genetic information is essential, particularly within the domain of sports genetics testing. This research delves into the nuanced definition of genetic privacy under the backdrop of genetic testing in sports. While many scholars regard genetic information as an inherent component of the right to privacy, it is crucial to recognize that not all genetic information falls squarely within the realm of privacy. Due to the distinctive nature of genetic data, only specific segments can be considered under the umbrella of privacy rights. Additionally, genetic information that pertains to family or group dynamics transcends the boundaries of individual privacy rights. In cases where genetic information is shared among multiple parties, the owners do not possess unilateral control over these shared genetic segments. As a novel facet of privacy rights, gene privacy introduces unique dimensions that differ from conventional privacy rights. It encompasses the fifth right—the right not to know specific genetic information. To establish a robust framework for judicial protection of genetic privacy, it is imperative to undertake comprehensive research on the right to genetic information privacy. Such research forms the bedrock upon which a scientifically informed path to judicial protection of genetic privacy in the sports context can be developed.(AU)

The reuse of genetic information in research and informed consent.

Important advances in genetics research have been made in recent years. Such advances have facilitated the availability of huge amounts of genetic information that could potentially be reused beyond the original purpose for which such information was obtained. Any such reuse must meet certain ethical criteria to ensure that the dignity, integrity, and autonomy of the individual from whom that information was obtained are protected. The aim of this paper is to reflect on these criteria through a critical analysis of the literature. To guarantee these values, ethical criteria need to be established in several respects. For instance, the question must be posed whether the information requires special attention and protection (so-called genetic exceptionalism). Another aspect to bear in mind is the most appropriate type of consent to be given by the person involved, on the one hand favouring research and the reuse of genetic information while on the other protecting the autonomy of that person. Finally, there is a need to determine what protection such reuse should have in order to avoid detrimental consequences and protect the rights of the individual. The main conclusions are that genetic information requires special care and protection (genetic exceptionalism) and that broad consent is the most practical and trustworthy type of consent for the reuse of genetic information.

Connecting the dots: Carrier screening and the Genetic Information Nondiscrimination Act in the United States.

OBJECTIVE: To highlight the possibility of genetic discrimination in the United States with respect to carrier screening under limitations of the Genetic Information Nondiscrimination Act (GINA) and to encourage providers to educate patients about this possibility during pretest counseling. METHODS: Review of current professional guidelines and practice resources regarding the necessary components of pretest counseling for carrier screening in the context of GINA's limitations and the potential impact of carrier screening results on life, long-term care and disability insurance. RESULTS: Current practice resources advise that patients in the United States should be informed that their employer or health insurance company generally cannot use their genetic information during the underwriting process. However, these resources do not elaborate on GINA's limitations or explain why there may be adverse consequences to patients regarding these limitations. Studies have demonstrated significant gaps in provider knowledge of GINA, especially for those without formal genetic training. CONCLUSION: Enhanced education and provision of GINA educational resources for providers and patients will help ensure that patients have the opportunity to prioritize their insurance needs prior to undergoing carrier screening.

Exploring the challenges of and solutions to sharing personal genomic data for use in healthcare.

Boosted by the COVID-19 pandemic, as well as the tightened General Data Protection Regulation (GDPR) legislation within the European Union (EU), individuals have become increasingly concerned about privacy. This is also reflected in how willing individuals are to consent to sharing personal data, including their health data. To understand this behaviour better, this study focuses on willingness to consent in relation to genomic data. The study explores how the provision of educational information relates to willingness to consent, as well as differences in privacy concerns, information sensitivity and the perceived trade-off value between individuals willing versus unwilling to consent to sharing their genomic data. Of the respondents, 65% were initially willing to consent, but after educational information 89% were willing to consent and only 11% remained unwilling to consent. Educating individuals about potential health benefits can thus help to correct the beliefs that originally led to the unwillingness to share genomic data.

Relatives' Right to Know Genetic Information in Aotearoa New Zealand.

Once someone is diagnosed with a genetic abnormality or disorder, that information can be extremely valuable to their biological relatives. It may allow them to access preventive treatment or make informed decisions, such as whether to have a biological child or not. However, when the original family member refuses to disclose that information to at-risk relatives, a conflict arises between their right to patient confidentiality and their relatives' right to know. Aotearoa New Zealand lacks a specific, workable mechanism for disclosing genetic information to at-risk relatives. This article traverses the theoretical and practical issues involved in non-consensual disclosure of genetic information to suggest a new path for Aotearoa. It argues that the current, Western attitude of autonomy as an individual right free from obligations to others is no longer an appropriate justification for confidentiality over genetic information. Instead, patients diagnosed with a genetic abnormality or disorder should only be entitled to confidentiality where they have a reasonable expectation of privacy - determined by weighing the objective interests for and against disclosure. This approach recognises that we ought to consider our close relationships with others when we exercise autonomy over what is ultimately shared family information.

Privacy-aware estimation of relatedness in admixed populations.

BACKGROUND: Estimation of genetic relatedness, or kinship, is used occasionally for recreational purposes and in forensic applications. While numerous methods were developed to estimate kinship, they suffer from high computational requirements and often make an untenable assumption of homogeneous population ancestry of the samples. Moreover, genetic privacy is generally overlooked in the usage of kinship estimation methods. There can be ethical concerns about finding unknown familial relationships in third-party databases. Similar ethical concerns may arise while estimating and reporting sensitive population-level statistics such as inbreeding coefficients for the concerns around marginalization and stigmatization. RESULTS: Here, we present SIGFRIED, which makes use of existing reference panels with a projection-based approach that simplifies kinship estimation in the admixed populations. We use simulated and real datasets to demonstrate the accuracy and efficiency of kinship estimation. We present a secure federated kinship estimation framework and implement a secure kinship estimator using homomorphic encryption-based primitives for computing relatedness between samples in two different sites while genotype data are kept confidential. Source code and documentation for our methods can be found at https://doi.org/10.5281/zenodo.7053352. CONCLUSIONS: Analysis of relatedness is fundamentally important for identifying relatives, in association studies, and for estimation of population-level estimates of inbreeding. As the awareness of individual and group genomic privacy is growing, privacy-preserving methods for the estimation of relatedness are needed. Presented methods alleviate the ethical and privacy concerns in the analysis of relatedness in admixed, historically isolated and underrepresented populations. SHORT ABSTRACT: Genetic relatedness is a central quantity used for finding relatives in databases, correcting biases in genome wide association studies and for estimating population-level statistics. Methods for estimating genetic relatedness have high computational requirements, and occasionally do not consider individuals from admixed ancestries. Furthermore, the ethical concerns around using genetic data and calculating relatedness are not considered. We present a projection-based approach that can efficiently and accurately estimate kinship. We implement our method using encryption-based techniques that provide provable security guarantees to protect genetic data while kinship statistics are computed among multiple sites.

Circulating tumor DNA tracking in patients with pancreatic cancer using next-generation sequencing / Evaluación de DNA circulante tumoral en paciente con Cáncer de páncreas empleando secuenciación de nueva generación

Background: Pancreatic cancer remains one of the most devastating malignancies due to the absence of techniques for early diagnosis and the lack of target therapeutic options for advanced disease. Next Generation Sequencing (NGS) generates high throughput and valuable genetic information when evaluating circulating tumor DNA (ctDNA); however clinical utility of liquid biopsy in pancreatic cancer has not been demonstrated yet. The aim of this study was to evaluate whether results from a Next Generation Sequencing panel on plasma samples from pancreatic cancer patients could have a clinical significance. Methods: From December 2016 to January 2020, plasma samples from 27 patients with pancreatic ductal adenocarcinoma at two different tertiary Spanish Hospitals underwent ctDNA testing using a commercial NGS panel of 65 genes. Clinical data were available for these patients. VarsSome Clinical software was used to analyse NGS data and establish pathogenicity. Results: Evaluable NGS results were obtained in 18 out of the 27 plasma samples. Somatic pathogenic mutations were found mainly in KRAS, BRCA2, FLT3 and HNF1A, genes. Pathogenic mutations were detected in 50% of plasma samples from patient diagnosed at stages III-IV samples. FLT3 mutations were observed in 22.22% of samples which constitute a novel result in the field. Conclusions: Liquid biopsy using NGS is a valuable tool but still not sensitive or specific enough to provide clinical utility in pancreatic cancer patients.(AU)

Introducción: El cáncer de páncreas es uno de los cánceres más devastadores debido a la falta de métodos que permitan un diagnóstico temprano y la ausencia de opciones terapéuticas en enfermedad avanzada. La técnica de secuenciación de nueva generación o Next Generation Sequencing (NGS) proporciona importantes resultados de alto rendimiento de información genética en muestras de DNA circulante tumoral (ctDNA); sin embargo, la utilidad clínica de la biopsia líquida en cáncer de páncreas no ha sido demostrado todavía. El objetivo de este estudio fue evaluar si los resultados de un panel de secuenciación de nueva generación en muestras de plasma de pacientes con cáncer de páncreas podría tener un significado clínico. Métodos: Empleando un panel comercial de NGS con 65 genes se evaluaron 27 muestras de plasma de pacientes con cáncer de páncreas recogidas entre diciembre del 2016 y enero del 2020 en 2 hospitales españoles. En el estudio se disponía de datos clínicos correspondientes a los pacientes. Se empleó el software VarSome Clinical para analizar resultados y establecer patogenicidad de las variantes. Resultados: Se obtuvieron resultados evaluables en 18 de las 27 muestras de plasma. Se encontraron mutaciones patogénicas en los genes KRAS, BRCA2, FLT3 y HNF1A. El 50% de los pacientes diagnosticados en estadios ii-iv presentaron alteraciones patogénicas en plasma. Se observaron mutaciones en FLT3 en el 22,22% de las muestras, lo cual es un resultado novedoso. Conclusiones: La NGS en biopsia líquida es una herramienta valiosa pero todavía no sensible ni específica para proporcionar utilidad clínica en pacientes con cáncer de páncreas.(AU)