Cuts to high-profile NIH efforts leave researchers reeling.

Drop in 21st Century Cures Act funding will slow BRAIN and All of Us projects.

Chromosome Transplantation: Opportunities and Limitations.

There are thousands of rare genetic diseases that could be treated with classical gene therapy strategies such as the addition of the defective gene via viral or non-viral delivery or by direct gene editing. However, several genetic defects are too complex for these approaches. These "genomic mutations" include aneuploidies, intra and inter chromosomal rearrangements, large deletions, or inversion and copy number variations. Chromosome transplantation (CT) refers to the precise substitution of an endogenous chromosome with an exogenous one. By the addition of an exogenous chromosome and the concomitant elimination of the endogenous one, every genetic defect, irrespective of its nature, could be resolved. In the current review, we analyze the state of the art of this technique and discuss its possible application to human pathology. CT might not be limited to the treatment of human diseases. By working on sex chromosomes, we showed that female cells can be obtained from male cells, since chromosome-transplanted cells can lose either sex chromosome, giving rise to 46,XY or 46,XX diploid cells, a modification that could be exploited to obtain female gametes from male cells. Moreover, CT could be used in veterinary biology, since entire chromosomes containing an advantageous locus could be transferred to animals of zootechnical interest without altering their specific genetic background and the need for long and complex interbreeding. CT could also be useful to rescue extinct species if only male cells were available. Finally, the generation of "synthetic" cells could be achieved by repeated CT into a recipient cell. CT is an additional tool for genetic modification of mammalian cells.

[Overview of Clinical Application of Whole Genome Analysis for Cancer].

Cancer genomic medicine in Japan began in earnest with the implementation of gene panel testing covered by national health insurance in June 2019. However, the information obtained from this testing is limited to less than 0.1% of the entire genome. To enhance the effectiveness of therapy, understand the intricate biology of cancer, and develop new therapeutic drugs, it has become essential to promote the analysis of the whole genome. In Japan, the Action Plan for Whole Genome Analysis(Version 1)was released in December 2019. In 2021, AMED project"the full-scale operation of cancer whole genome analysis"was launched. The Action Plan for Whole Genome Analysis 2022 set a goal to return the information promptly to patients and citizens. Project Implementation Preparation Office was organized in April 2023 for acceleration of the system development for the clinical whole genome analysis. This paper introduces the current efforts and discuss the future perspectives of cancer genome medicine in Japan.

[History of the Japanese Society of Medical Oncology].

The Japanese Society of Medical Oncology(JSMO)was founded in 1993 by the Research Society of Clinical Oncology, the predecessor of the Society. Twenty years have passed since the transition to JSMO in 2003. During this time, JSMO has contributed to the establishment of the academic field of medical oncology in Japan for many years. On the other hand, over the last 20 years, cancer treatment by anti-cancer agents, which forms the basis of medical oncology, has made significant progress, prolonging the survival period of many advanced cancers. In the last 5 years in particular, there have been remarkable advances in the development and clinical introduction of immune checkpoint inhibitors, cancer molecular targeted agents based on genetic abnormalities, and cancer genomic medicine. Furthermore, in addition to conventional multidisciplinary treatment with surgery, radiology, and palliative medicine, collaboration with cancer-related interdisciplinary fields has become extremely important in recent years. For this reason, there is an increasing need for medical oncologists who specialize in organ(cancer type)cross-sectional treatment including cancer genomic medicine, and treat advanced cancer as a systemic disease as a specialist in internal medicine. In this article, we review the history of the Japanese Society of Medical Oncology and the history of medical oncology in Japan and look forward to the future of medical oncology.

Patient survey on cancer genomic medicine in Japan under the national health insurance system.

In Japan, comprehensive genomic profiling (CGP) tests have been reimbursed under the national health care system for solid cancer patients who have finished standard treatment. More than 50,000 patients have taken the test since June 2019. We performed a nation-wide questionnaire survey between March 2021 and July 2022. Questionnaires were sent to 80 designated Cancer Genomic Medicine Hospitals. Of the 933 responses received, 370 (39.7%) were web based and 563 (60.3%) were paper based. Most patients (784, 84%) first learned about CGP tests from healthcare professionals, and 775 (83.1%) gave informed consent to their treating physician. At the time of informed consent, they were most worried about test results not leading to novel treatment (536, 57.4%). On a scale of 0-10, 702 respondents (75.2%) felt that the explanations of the test result were easy to understand (7 or higher). Ninety-one patients (9.8%) started their recommended treatment. Many patients could not receive recommended treatment because no approved drugs or clinical trials were available (102/177, 57.6%). Ninety-eight patients (10.5%) did not wish their findings to be disclosed. Overall satisfaction with the CGP test process was high, with 602 respondents (64.5%) giving a score of 7-10. The major reason for choosing 0-6 was that the CGP test result did not lead to new treatment (217/277, 78.3%). In conclusion, satisfaction with the CGP test process was high. Patients and family members need better access to information. More patients need to be treated with genomically matched therapy.

Emerging applications of machine learning in genomic medicine and healthcare.

The integration of artificial intelligence technologies has propelled the progress of clinical and genomic medicine in recent years. The significant increase in computing power has facilitated the ability of artificial intelligence models to analyze and extract features from extensive medical data and images, thereby contributing to the advancement of intelligent diagnostic tools. Artificial intelligence (AI) models have been utilized in the field of personalized medicine to integrate clinical data and genomic information of patients. This integration allows for the identification of customized treatment recommendations, ultimately leading to enhanced patient outcomes. Notwithstanding the notable advancements, the application of artificial intelligence (AI) in the field of medicine is impeded by various obstacles such as the limited availability of clinical and genomic data, the diversity of datasets, ethical implications, and the inconclusive interpretation of AI models' results. In this review, a comprehensive evaluation of multiple machine learning algorithms utilized in the fields of clinical and genomic medicine is conducted. Furthermore, we present an overview of the implementation of artificial intelligence (AI) in the fields of clinical medicine, drug discovery, and genomic medicine. Finally, a number of constraints pertaining to the implementation of artificial intelligence within the healthcare industry are examined.

Exploring the evolving roles of clinical geneticists and genetic counselors in the era of genomic medicine.

The increased utilization of clinical genomic sequencing in the past decade has ushered in the era of genomic medicine, requiring genetics providers to acquire new skills and adapt their practices. The change in workplace responsibilities of clinical/medical geneticists (CMGs) and genetic counselors (GCs) in North America, due to the evolution of genetic testing, has not been studied. We surveyed CMGs (n = 80) and GCs (n = 127) with experience in general/pediatric genetics to describe their current practice of clinical tasks and the change in regularity of performing these tasks over the past 5-10 years. Currently, complementarity of responsibilities between CMGs and GCs clearly exists but providers who have been in the field for longer have noted role changes. Trends indicate that fewer experienced CMGs perform physical exams and select genetic tests than before and fewer experienced GCs complete requisitions and write result letters. The frequency of CMGs and GCs who investigate genetic test results, however, has increased. This study provides insight into the changing landscape of clinical genetics practice. Our findings suggest that the roles and responsibilities of CMGs and GCs have shifted in the past decade.

Future Role of Health Technology Assessment for Genomic Medicine in Oncology: A Canadian Laboratory Perspective.

Genome-based testing in oncology is a rapidly expanding area of health care that is the basis of the emerging area of precision medicine. The efficient and considered adoption of novel genomic medicine testing is hampered in Canada by the fragmented nature of health care oversight as well as by lack of clear and transparent processes to support rapid evaluation, assessment, and implementation of genomic tests. This article provides an overview of some key barriers and proposes approaches to addressing these challenges as a potential pathway to developing a national approach to genomic medicine in oncology.

Genomic medicine in neonatal care: progress and challenges.

During the neonatal period, many genetic disorders present and contribute to neonatal morbidity and mortality. Genomic medicine-the use of genomic information in clinical care- has the potential to significantly reduce morbidity and mortality in the neonatal period and improve outcomes for this population. Diagnostic genomic testing for symptomatic newborns, especially rapid testing, has been shown to be feasible and have diagnostic and clinical utility, particularly in the short-term. Ongoing studies are assessing the feasibility and utility, including personal utility, of implementation in diverse populations. Genomic screening for asymptomatic newborns has also been studied, and the acceptability and feasibility of such an approach remains an active area of investigation. Emerging precision therapies, with examples even at the "n-of-1" level, highlight the promise of precision diagnostics to lead to early intervention and improve outcomes. To sustainably implement genomic medicine in neonatal care in an ethical, effective, and equitable manner, we need to ensure access to genetics and genomics knowledge, access to genomic tests, which is currently limited by payors, feasible processes for ordering these tests, and access to follow up in the clinical and research realms. Future studies will provide further insight into enablers and barriers to optimize implementation strategies.

Rare diseases' genetic newborn screening as the gateway to future genomic medicine: the Screen4Care EU-IMI project.

Following the reverse genetics strategy developed in the 1980s to pioneer the identification of disease genes, genome(s) sequencing has opened the era of genomics medicine. The human genome project has led to an innumerable series of applications of omics sciences on global health, from which rare diseases (RDs) have greatly benefited. This has propelled the scientific community towards major breakthroughs in disease genes discovery, in technical innovations in bioinformatics, and in the development of patients' data registries and omics repositories where sequencing data are stored. Rare diseases were the first diseases where nucleic acid-based therapies have been applied. Gene therapy, molecular therapy using RNA constructs, and medicines modulating transcription or translation mechanisms have been developed for RD patients and started a new era of medical science breakthroughs. These achievements together with optimization of highly scalable next generation sequencing strategies now allow movement towards genetic newborn screening. Its applications in human health will be challenging, while expected to positively impact the RD diagnostic journey. Genetic newborn screening brings many complexities to be solved, technical, strategic, ethical, and legal, which the RD community is committed to address. Genetic newborn screening initiatives are therefore blossoming worldwide, and the EU-IMI framework has funded the project Screen4Care. This large Consortium will apply a dual genetic and digital strategy to design a comprehensive genetic newborn screening framework to be possibly translated into the future health care.

[Medical ethics in genomic medicine].

Recently, utilization of genetic data has become routine in medicine. It is important to consider the use of genetic information in different situations based on the principles of medical ethics. Furthermore, it is necessary to understand the features of genetic information and to adhere to various guidelines in research and clinical practices. In genomic medicine, which will become the mainstream of medicine using comprehensive genetic information, it will be crucial to fully comprehend the suitable handling of secondary results, and to prioritize benefits to the patients. Moreover, developing a system that incorporates appropriate legislation to ensure nondiscrimination of patients on the basis of their genetic information and to provide a forum for ethical issues that will arise in the future is essential.

Expanded utility of the R package, qgg, with applications within genomic medicine.

SUMMARY: Here, we present an expanded utility of the R package qgg for genetic analyses of complex traits and diseases. One of the major updates of the package is, that it now includes Bayesian linear regression modeling procedures, which provide a unified framework for mapping of genetic variants, estimation of heritability and genomic prediction from either individual level data or from genome-wide association study summary data. With this release, the qgg package now provides a wealth of the commonly used methods in analysis of complex traits and diseases, without the need to switch between software and data formats. AVAILABILITY AND IMPLEMENTATION: The methodologies are implemented in the publicly available R software package, qgg, using fast and memory efficient algorithms in C++ and is available on CRAN or as a developer version at our GitHub page (https://github.com/psoerensen/qgg). Notes on the implemented statistical genetic models, tutorials and example scripts are available at our GitHub page https://psoerensen.github.io/qgg/.

THE ROLE OF GENETICS IN DISEASE DIAGNOSIS AND TREATMENT MITOCHONDRIAL RESPIRATORY CHAIN DYSREGULATION IN GENOMIC MEDICINE.

Although mitochondrial DNA respiration circuit abnormalities are among the most common metabolic diseases to manifest in children, identification can be difficult due to their medical variability. Given the multisystem nature of the condition and its diverse and generalized manifestations, making a final diagnosis often takes a long time. Within this summary, they give an in-depth account of the physical signs of adolescent Mitochondrial Respiratory Chain Disorders (MRCDs),analyze the available diagnostics and treatment possibilities, and emphasize current developments in this field of study. During the discovery of fresh biomarkers and the development of next generation sequencing (NGS) technology, extensive research over the years has considerably enhanced the regularity that precise diagnoses are produced. Given the intricate nature of mitochondrial DNA biology and its double genomic investments, Sequencing has made significant progress in identifying the genetic basis of Mitochondrial Respiratory Chain Disorders (MRCDs). Research studies have been created employing a variety of various methods of therapy in an effort to shift the goal on therapy that is mainly curative to possibly having a positive impact on the natural course of the trouble. That's because there is gained a greater awareness of the underlying causes of this category of ailments.

Chapitre 6. Le déploiement de la médecine génomique : la place de l'autonomie du patient dans la réutilisation des données génétiques au profit de la recherche.

Genetic research today is largely based on the reuse of data from care for the benefit of research. This evolution of practices, which involves an increasingly marked communication between care and research, questions the place given to the patient seen as a potential participant in research. In order to promote the circulation of genetic data generated and to allow their reuse for the benefit of different research, the French legislator reaffirmed the use of the opt-out mechanism (“non-opposition”) in the last bioethics law of the 2 August 2021. If the reasons that led the legislator to make this shift from the concept of consent to the opt-out mechanism are legitimate, the conditions of implementation of this mechanism seem to need to be questioned in order to ensure the effectivity of the balance sought by the legislator between preserving the autonomy of the individual with regard to the sharing of his/her genetic data and encouraging the development of medical knowledge; one should not be to the detriment of the other.

Parents' Perspectives on Secondary Genetic Ancestry Findings in Pediatric Genomic Medicine.

PURPOSE: With advances in genome sequencing technologies, large-scale genome-wide sequencing has advanced our understanding of disease risk and etiology and contributes to the rapidly expanding genomic health services in pediatric settings. Because it is possible to return ancestry estimates following clinical genomic sequencing, it is important to understand the interest in ancestry results among families who may have the option of receiving these results. METHODS: We conducted 26 semi-structured qualitative telephone interviews of parents with children/newborns with likely genetic conditions from two studies of clinical genome sequencing. Using a purposive sampling approach, we selected parents from the SouthSeq cohort, Clinical Sequencing Evidence-Generating Research (CSER Phase 2) project active in Alabama, Mississippi, and Louisiana, or an earlier Clinical Sequencing Exploratory Research (CSER Phase 1) initiative based in the same region. Our interviews focused on parental knowledge about, attitudes on, interest in, and preferences for receiving genetic ancestry results following clinical genome sequencing in the neonatal intensive care unit or in pediatric clinics. FINDINGS: Overall, parents prioritized clinical results or results that would help guide the diagnosis and treatment of their child, but they were also interested in any genetic result, including genetic ancestry, that potentially could enhance the meaning of information on disease risk, prevention and screening guidance, or family planning. While parents thought that ancestry results would help them learn about themselves and their heritage, the had concerns over the privacy, security, and accuracy of genetic ancestry information, although parents indicated that they had greater trust in ancestry findings provided as part of clinical care compared with those offered commercially. Parents also wanted ancestry results to be returned in a timely manner by knowledgeable staff, with kid-friendly materials and online tools available to aid, as needed, in the understanding of their results. IMPLICATIONS: Taken together, our results highlight that despite being in high-stress situations, such as having a newborn in the neonatal intensive care unit, parents were interested in receiving genetic ancestry results along with their clinically relevant findings.