Toward a fine-scale population health monitoring system.

Understanding population health disparities is an essential component of equitable precision health efforts. Epidemiology research often relies on definitions of race and ethnicity, but these population labels may not adequately capture disease burdens and environmental factors impacting specific sub-populations. Here, we propose a framework for repurposing data from electronic health records (EHRs) in concert with genomic data to explore the demographic ties that can impact disease burdens. Using data from a diverse biobank in New York City, we identified 17 communities sharing recent genetic ancestry. We observed 1,177 health outcomes that were statistically associated with a specific group and demonstrated significant differences in the segregation of genetic variants contributing to Mendelian diseases. We also demonstrated that fine-scale population structure can impact the prediction of complex disease risk within groups. This work reinforces the utility of linking genomic data to EHRs and provides a framework toward fine-scale monitoring of population health.

The phenotype-genotype reference map: Improving biobank data science through replication.

Population-scale biobanks linked to electronic health record data provide vast opportunities to extend our knowledge of human genetics and discover new phenotype-genotype associations. Given their dense phenotype data, biobanks can also facilitate replication studies on a phenome-wide scale. Here, we introduce the phenotype-genotype reference map (PGRM), a set of 5,879 genetic associations from 523 GWAS publications that can be used for high-throughput replication experiments. PGRM phenotypes are standardized as phecodes, ensuring interoperability between biobanks. We applied the PGRM to five ancestry-specific cohorts from four independent biobanks and found evidence of robust replications across a wide array of phenotypes. We show how the PGRM can be used to detect data corruption and to empirically assess parameters for phenome-wide studies. Finally, we use the PGRM to explore factors associated with replicability of GWAS results.

Power of inclusion: Enhancing polygenic prediction with admixed individuals.

Admixed individuals offer unique opportunities for addressing limited transferability in polygenic scores (PGSs), given the substantial trans-ancestry genetic correlation in many complex traits. However, they are rarely considered in PGS training, given the challenges in representing ancestry-matched linkage-disequilibrium reference panels for admixed individuals. Here we present inclusive PGS (iPGS), which captures ancestry-shared genetic effects by finding the exact solution for penalized regression on individual-level data and is thus naturally applicable to admixed individuals. We validate our approach in a simulation study across 33 configurations with varying heritability, polygenicity, and ancestry composition in the training set. When iPGS is applied to n = 237,055 ancestry-diverse individuals in the UK Biobank, it shows the greatest improvements in Africans by 48.9% on average across 60 quantitative traits and up to 50-fold improvements for some traits (neutrophil count, R2 = 0.058) over the baseline model trained on the same number of European individuals. When we allowed iPGS to use n = 284,661 individuals, we observed an average improvement of 60.8% for African, 11.6% for South Asian, 7.3% for non-British White, 4.8% for White British, and 17.8% for the other individuals. We further developed iPGS+refit to jointly model the ancestry-shared and -dependent genetic effects when heterogeneous genetic associations were present. For neutrophil count, for example, iPGS+refit showed the highest predictive performance in the African group (R2 = 0.115), which exceeds the best predictive performance for the White British group (R2 = 0.090 in the iPGS model), even though only 1.49% of individuals used in the iPGS training are of African ancestry. Our results indicate the power of including diverse individuals for developing more equitable PGS models.

Liability-scale heritability estimation for biobank studies of low-prevalence disease.

Theory for liability-scale models of the underlying genetic basis of complex disease provides an important way to interpret, compare, and understand results generated from biological studies. In particular, through estimation of the liability-scale heritability (LSH), liability models facilitate an understanding and comparison of the relative importance of genetic and environmental risk factors that shape different clinically important disease outcomes. Increasingly, large-scale biobank studies that link genetic information to electronic health records, containing hundreds of disease diagnosis indicators that mostly occur infrequently within the sample, are becoming available. Here, we propose an extension of the existing liability-scale model theory suitable for estimating LSH in biobank studies of low-prevalence disease. In a simulation study, we find that our derived expression yields lower mean square error (MSE) and is less sensitive to prevalence misspecification as compared to previous transformations for diseases with ≤2% population prevalence and LSH of ≤0.45, especially if the biobank sample prevalence is less than that of the wider population. Applying our expression to 13 diagnostic outcomes of ≤3% prevalence in the UK Biobank study revealed important differences in LSH obtained from the different theoretical expressions that impact the conclusions made when comparing LSH across disease outcomes. This demonstrates the importance of careful consideration for estimation and prediction of low-prevalence disease outcomes and facilitates improved inference of the underlying genetic basis of ≤2% population prevalence diseases, especially where biobank sample ascertainment results in a healthier sample population.

Perception of Polish patients with cancer of the ethical and legal issues related to biobank research.

BACKGROUND: Although biobanks have become fundamental to many research centers and contribute to medical development, they generate many ethical and legal issues that may discourage patients from donating. MATERIALS AND METHODS: To understand patients' perception of ethical and legal issues related to biobanks we conducted a survey among 548 Polish patients with cancer. RESULTS: While 93.1% of patients with cancer declared themselves willing to donate biospecimens left over after a medical procedure to a biobank, most opted for one-time consent or study-specific consent, blanket consent being less frequently preferred. Many patients believed that future use of previously collected tissues require second contact. Most patients preferred pseudonymization over anonymization of the data, and supported donors' right to withdraw informed consent at any given moment. Finally, while personal health information was the most expected form of compensation for donation, most patients suggested that all parties, including the biobank concerned, the sponsors of the research, and the donors, should own the rights to cancer tissues donated and profit from the biobank research. Patients' opinions on the ethical and legal issues related to biobank research were associated with age, sex, religiosity, education level, and place of residence. CONCLUSIONS: Since biobanks generate ethical and legal issues related to informed consent, data protection and storage, as well as the sharing of biosamples, tissue ownership, and profit sharing, that may discourage patients from donation, when asking a patient for a donation, healthcare professionals should communicate in a donor-centered manner and address patients' ethical and moral concerns related to donation and offer resources to help manage these concerns.

Attitudes of oncology patients' towards biospecimen donation for biobank research.

BACKGROUND: Since the biological material that remains after diagnostic and therapeutic procedures plays crucial role in biobank research, this study aims to explore cancer patients' views on the donation of biospecimens for research purposes. METHODS: 548 oncology patients from two hospitals with oncology treatment units in Poznan, Poland, completed an anonymous, self-administered pen-and-paper questionnaire. RESULTS: Although only 43.4% of patients had heard of biobanks, 93.1% declared themselves willing to donate. 71.1% of patients believed that doctors should ask patients to donate, and 60.9% that this should be done before the medical procedure. While 65% of patients were willing to donate any type of tissue that remained after a medical procedure, blood, saliva and hair were indicated most frequently. 40.5% of patients would donate their entire body after death and 21% would refuse. Patients' support for biobanks was mainly driven by the desire to support science, help advance cancer research and altruism. Some respondents expected health information or medical treatment. The most common barriers for donation were physical distance, repeated examinations, concerns over the privacy and confidentiality of data and the commercial or unethical use of samples. Patients' attitudes toward biobank donation seemed to be associated with age, education level, declared religiousness, a family history of genetically determined diseases and whether they were a blood donor. CONCLUSIONS: Although cancer patients' lack of biobank awareness had no effect on their affirmative attitudes towards biobank research, there is a need to further increase patients' support and overcome possible barriers that might hinder their willingness to donate.

The International Society of Blood Transfusion (ISBT) Public Health Research Toolkit: A report from the Surveillance, Risk Assessment and Policy Sub-group of the ISBT Transfusion Transmitted Infectious Diseases Working Party.

BACKGROUND AND OBJECTIVES: Data provided from blood donors have contributed to the understanding of public health epidemiology and policy decisions. A recent example was during the severe acute respiratory syndrome-related coronavirus (SARS-CoV-2) pandemic when blood services monitored the seroprevalence in blood donors. Based on this experience, blood services have the opportunity to expand their role and participate in public health surveillance and research. The aim of this report is to share available resources to assist blood services in this area. MATERIALS AND METHODS: The Surveillance, Risk Assessment and Policy (SRAP) Sub-group of the International Society of Blood Transfusion (ISBT) Transfusion Transmitted Infectious Diseases (TTID) Working Party developed a Public Health Research Toolkit to assist blood services and researchers interested in expanding their role in public health research. RESULTS: The ISBT Public Health Research Toolkit provides resources for what blood services can offer to public health, examples of donor research studies, the utility of donor data and website links to public health agencies. The toolkit includes a customizable template for those interested in establishing and managing a biobank. CONCLUSION: The ISBT Public Health Research Toolkit includes resources to increase the recognition of the role blood donors can play in public health and to help blood services gain commitment and funding from various agencies for new research and surveillance.

Association of serum calcium, vitamin D, and C-reactive protein with all-cause and cause-specific mortality in an osteoarthritis population in the UK: a prospective cohort study.

BACKGROUND: Osteoarthritis is a prevalent musculoskeletal condition, but the role of specific serum biomarkers, such as calcium, vitamin D, and C-reactive protein (CRP), in predicting mortality among individuals with osteoarthritis remains unclear. METHODS: This observational study analyzed longitudinal data from over 500,000 participants in the UK Biobank, identifying those with osteoarthritis using ICD-9/10 codes or self-reported history. We performed multivariable cox-regression and flexible parametric survival model (FPSM) for survival analysis, with adjustments made through the inverse probability of treatment weight (IPTW) for baseline covariates identified by directed acyclic graphs (DAGs). RESULTS: Of the 49,082 osteoarthritis population, the average age was 60.69 years, with 58.7% being female. During the follow-up period exceeding 15 years, a total of 5,522 people with osteoarthritis died. High serum calcium levels, compared to normal serum calcium levels, were significantly associated with all-cause mortality (hazard ratio (HR) 1.33, 95% confidence interval (CI) 1.11, 1.59), cardiovascular diseases (CVD)-related deaths (HR 1.55, 95% CI 1.05, 2.29), and other deaths (HR 1.59, 95% CI 1.20, 2.11). Low serum calcium levels, compared to normal serum calcium levels, was linked with CVD-related deaths (HR 2.06, 95% CI 1.02, 4.14). Vitamin D insufficiency, compared to sufficient vitamin D levels, was correlated with all-cause mortality (HR 1.22, 95% CI 1.13, 1.33), CVD-related deaths (HR 1.43, 95% CI 1.20, 1.72), and other deaths (HR 1.26, 95% CI 1.09, 1.45) but not with cancer-related deaths. High serum CRP levels, compared to normal CRP levels, were associated with all outcomes (all-cause mortality: HR 1.22, 95% CI 1.12, 1.33; CVD-related death: HR 1.24, 95%CI 1.03, 1.49; cancer-related death: HR 1.23, 95% CI 1.09, 1.40; other deaths: HR 1.19, 95%CI 1.03, 1.38). CONCLUSIONS: Both high and low serum calcium levels, elevated CRP, and vitamin D insufficiency are potential predictors of increased mortality risk in the osteoarthritis population. These findings emphasize the importance of monitoring and possibly addressing these serum biomarkers in osteoarthritis populations to improve long-term outcomes. Further studies are needed to understand the underlying mechanisms and to propose therapeutic interventions.

Aquatic Biomaterial Repositories: Comprehensive Guidelines, Recommendations, and Best Practices for Their Development, Establishment, and Sustainable Operation.

The alarming pace of species extinction severely threatens terrestrial and aquatic ecosystems, undermining the crucial ecological services vital for environmental sustainability and human well-being. Anthropogenic activities, such as urbanization, agriculture, industrialization, and those inducing climate change, intensify these risks, further imperiling biodiversity. Of particular importance are aquatic organisms, pivotal in biodiscovery and biotechnology. They contribute significantly to natural product chemistry, drug development, and various biotechnological applications. To safeguard these invaluable resources, establishing and maintaining aquatic biomaterial repositories (ABRs) is imperative. This review explores the complex landscape of ABRs, emphasizing the need for standardized procedures from collection to distribution. It identifies key legislative and regulatory frameworks, such as the Nagoya Protocol and EU directives, essential for ensuring responsible and equitable biorepository operations. Drawing on extensive literature and database searches, this study compiles existing recommendations and practices into a cohesive framework with which to guide the establishment and sustainable management of ABRs. Through collaborative efforts and adherence to best practices, ABRs can play a transformative role in the future of marine biotechnology and environmental conservation.

Efficient Use of Biological Data in the Web 3.0 Era by Applying Nonfungible Token Technology.

CryptoKitties, a trendy game on Ethereum that is an open-source public blockchain platform with a smart contract function, brought nonfungible tokens (NFTs) into the public eye in 2017. NFTs are popular because of their nonfungible properties and their unique and irreplaceable nature in the real world. The embryonic form of NFTs can be traced back to a P2P network protocol improved based on Bitcoin in 2012 that can realize decentralized digital asset transactions. NFTs have recently gained much attention and have shown an unprecedented explosive growth trend. Herein, the concept of digital asset NFTs is introduced into the medical and health field to conduct a subversive discussion on biobank operations. By converting biomedical data into NFTs, the collection and circulation of samples can be accelerated, and the transformation of resources can be promoted. In conclusion, the biobank can achieve sustainable development through "decentralization."

Enriching iPSC research diversity: Harnessing human biobank collections for improved ethnic representation.

Biobanks of human biosamples and cell lines are indispensable for biomedical research on human health and disease and for drug development projects. Many human cell line biobanks worldwide hold collections of lymphoblastoid cell lines (LCLs), representing thousands of affected and control donors from diverse ethnic/ancestry groups. In recent years, induced human pluripotent stem cells (iPSCs) and differentiated human cells derived from these iPSCs have become indispensable for applied biomedical research. Establishing iPSCs remains a laborious and costly step towards generating differentiated human cells. To address this research need, several non-profit and commercial biobanks have established iPSC collections for distribution to researchers, thereby serving as a resource for generating differentiated human cells. The most common starting materials for generation of iPSCs are a skin biopsy for harvesting fibroblasts, or a blood sample for collection of peripheral blood mononuclear cells. However untapped resources include the large established collections of biobanked human LCLs which can be reprogrammed to iPSCs using a variety of published protocols including the use of non-integrating episomal vectors. Many biobanks curate LCLs from diverse ethnic/ancestry populations, an aspect largely absent in most established iPSC biobanks which tend to primarily reflect populations from developed countries. Here, we call upon researchers across the breadth of iPSC research to tap the unique resource of existing and diverse human LCL collections for establishing biobanked iPSC panels that better represent the varied human ethnic (and hence genomic) diversity, thereby benefiting precision medicine and drug development research on a global scale.

Species Choice and Model Use: Reviving Research on Human Development.

While model organisms have had many historians, this article places studies of humans, and particularly our development, in the politics of species choice. Human embryos, investigated directly rather than via animal surrogates, have gone through cycles of attention and neglect. In the past 60 years they moved from the sidelines to center stage. Research was resuscitated in anatomy, launched in reproductive biomedicine, molecular genetics, and stem-cell science, and made attractive in developmental biology. I explain this surge of interest in terms of rivalry with models and reliance on them. The greater involvement of medicine in human reproduction, especially through in vitro fertilization, gave access to fresh sources of material that fed critiques of extrapolation from mice and met demands for clinical relevance or "translation." Yet much of the revival depended on models. Supply infrastructures and digital standards, including biobanks and virtual atlases, emulated community resources for model organisms. Novel culture, imaging, molecular, and postgenomic methods were perfected on less precious samples. Toing and froing from the mouse affirmed the necessity of the exemplary mammal and its insufficiency justified inquiries into humans. Another kind of model-organoids and embryo-like structures derived from stem cells-enabled experiments that encouraged the organization of a new field, human developmental biology. Research on humans has competed with and counted on models.

When Biobanks Meet Religion: Association Between Religiosity and Attitudes of Polish Medical Students Toward Biobanking of Human Biological Material for Research Purposes.

While biobanking is expanding globally, the empirical evidence concerning the impact of religion on future healthcare professionals' awareness and willingness to donate biospecimens for biobank research is lacking. To understand how medical students' religious beliefs can fuel their questions regarding how biospecimens would be stored, cared for, and used, we conducted a survey among 1500 medical students at Poznan University of Medical Sciences. Our findings suggest that, while both religious and nonreligious students supported the idea of biobanking of human biological material and were willing to donate for research purposes, nonreligious students felt more positive toward biobanking, supported the idea of establishing biobanks in Poland more often, and were more eager to donate most types of tissues and to participate in biobank research. Religious beliefs were also associated with medical students' perception of benefits and risks resulting from biobanking, perceived trust toward various biobank institutions, and preferred type of consent.

GenoPheno: cataloging large-scale phenotypic and next-generation sequencing data within human datasets.

Precision medicine promises to revolutionize treatment, shifting therapeutic approaches from the classical one-size-fits-all to those more tailored to the patient's individual genomic profile, lifestyle and environmental exposures. Yet, to advance precision medicine's main objective-ensuring the optimum diagnosis, treatment and prognosis for each individual-investigators need access to large-scale clinical and genomic data repositories. Despite the vast proliferation of these datasets, locating and obtaining access to many remains a challenge. We sought to provide an overview of available patient-level datasets that contain both genotypic data, obtained by next-generation sequencing, and phenotypic data-and to create a dynamic, online catalog for consultation, contribution and revision by the research community. Datasets included in this review conform to six specific inclusion parameters that are: (i) contain data from more than 500 human subjects; (ii) contain both genotypic and phenotypic data from the same subjects; (iii) include whole genome sequencing or whole exome sequencing data; (iv) include at least 100 recorded phenotypic variables per subject; (v) accessible through a website or collaboration with investigators and (vi) make access information available in English. Using these criteria, we identified 30 datasets, reviewed them and provided results in the release version of a catalog, which is publicly available through a dynamic Web application and on GitHub. Users can review as well as contribute new datasets for inclusion (Web: https://avillachlab.shinyapps.io/genophenocatalog/; GitHub: https://github.com/hms-dbmi/GenoPheno-CatalogShiny).

Type 1 diabetes in the pancreas: A histological perspective.

AIMS: This review aims to introduce research in the pancreas to a broader audience. The pancreas is a heterocrine gland residing deep within our abdominal cavity. It is the home to our islets, which play a pivotal role in regulating metabolic homeostasis. Due to its structure and location, it is an impossible organ to study, in molecular detail, in living humans, and yet, understanding the pancreas is critical if we aim to characterise the immunopathology of type 1 diabetes (T1D) and one day prevent the triggering of the autoimmune attack associated with ß-cell demise. METHODS: Over a 100 years ago, we began studying pancreatic histology using cadaveric samples and clever adaptations to microscopes. As histologists, some may say nothing much has changed. Nevertheless, our microscopes can now interrogate multiple proteins at molecular resolution. Images of pancreas sections are no longer constrained to a single field of view and can capture a thousands and thousands of cells. AI-image-analysis packages can analyse these massive data sets offering breakthrough findings. CONCLUSION: This narrative review will provide an overview of pancreatic anatomy, and the importance of research focused on the pancreas in T1D. It will range from histological breakthroughs to briefly discussing the challenges associated with characterising the organ. I shall briefly introduce a selection of the available global biobanks and touch on the distinct pancreatic endotypes that differ immunologically and in ß-cell behaviour. Finally, I will introduce the idea of developing a collaborative tool aimed at developing a cohesive framework for characterising heterogeneity and stratifying endotypes in T1D more readily.

A Rapid Review on the Value of Biobanks Containing Genetic Information.

OBJECTIVES: Increasing access to health data through biobanks containing genetic information has the potential to expand the knowledge base and thereby improve screening, diagnosis, and treatment options for many diseases. Nevertheless, although privacy concerns and risks surrounding genetic data sharing are well documented, direct evidence in favor of the hypothesized benefits of data integration is scarce, which complicates decision making in this area. Therefore, the objective of this study is to summarize the available evidence on the research and clinical impacts of biobanks containing genetic information, so as to better understand how to quantify the value of expanding genomic data access. METHODS: Using a rapid review methodology, we performed a search of MEDLINE/PubMed and Embase databases; and websites of biobanks and genomic initiatives published from 2010 to 2022. We classified findings into 11 indicators including outputs (a direct product of the biobank activities) and outcomes (changes in scientific and clinical capacity). RESULTS: Of 8479 abstracts and 101 gray literature sources were reviewed, 96 records were included. Although most records did not report key indicators systematically, the available evidence concentrated on research indicators such as publications and gene-disorder association discoveries (63% of studies), followed by research infrastructure (26%), and clinical indicators (11%) such as supporting the diagnosis of individual patients. CONCLUSIONS: Existing evidence on the benefits of biobanks is skewed toward easily quantifiable research outputs. Measuring a comprehensive set of outputs and outcomes inspired by value frameworks is necessary to generate better evidence on the benefits of genomic data sharing.

Components of the Complete Blood Count as a Risk Predictor for Incident Hypertension in a Large Taiwanese Population Follow-up Study.

BACKGROUND: Previous studies investigating the relationship between hypertension (HT) and hematological parameters report inconsistent results, and most them included a small number of participants or only conducted a cross-sectional analysis of 1 or 2 hematological factors. Moreover, no large cohort follow-up studies have investigated this topic. The aim of this longitudinal study was to explore associations between components of the complete blood count (CBC) and incident HT using data from a large Taiwanese biobankMethods and Results: Hematological parameters including white blood cell (WBC) count, red blood cell (RBC) count, hemoglobin, hematocrit (HCT), and platelet count were evaluated. We included 21,293 participants who did not have HT at baseline and followed them for a mean period of 3.9 years. During follow-up, 3,002 participants with new-onset HT (defined as incident HT) were identified. Univariable analysis revealed that high WBC count, high RBC count, high hemoglobin, high HCT, and low platelet count were associated with incident HT. Multivariable analysis after adjusting potential confounding factors found high WBC count (odds ratio [OR], 1.057; 95% confidence interval [CI], 1.028 to 1.087; P<0.001) and high HCT (OR, 1.023; 95% CI, 1.010 to 1.036; P<0.001) were still significantly associated with incident HT. CONCLUSIONS: High WBC count and high HCT were associated with incident HT.

To donate or not to donate? Future healthcare professionals' opinions on biobanking of human biological material for research purposes.

BACKGROUND: Over the last few decades biobanks have been recognised as institutions that may revolutionise biomedical research and the development of personalised medicine. Poland, however, still lacks clear regulations regarding the running of biobanks and the conducting of biomedical research. While the awareness of the general public regarding biobanks is low, healthcare professions and medical students also lack basic knowledge regarding biobanks, and such ignorance may affect their support for biobanks. METHODS: This study is aimed at assessing the knowledge and attitudes of future healthcare professionals towards the donation of human biological material for research purposes and is based on a sample of 865 Polish medical students at Poznan University of Medical Sciences. RESULTS: This research has shown that the awareness of medical students' regarding biobanks is low. It has also shown that while the majority of future healthcare professionals enrolled in this study supported the idea of biobank research and declared themselves willing to donate, still many students felt ambivalent about the biobanking of human biological material for research purposes and expressed concerns over biobanking research. While the primarily motivation to participate in biobank research was the desire to help advance science and to develop innovative therapies, the most common reason for a refusal was the fear that the government, insurance companies or employers, might have access to the samples. Concerns over unethical use of samples and data safety were also prevalent. More than half of students opted for a study-specific model of consent and only a few opted for broad consent. CONCLUSIONS: This research suggests that a lack of knowledge about biobanks, their role and activities may affect medical students' support for biobanks and their active participation in the collection and management of biospecimens for research purposes. Since in the future medical, nursing and pharmacy students will be involved in the collection, storage, testing and analysis of biospecimens from their patients, medical students in all professional fields should be trained regarding the concept, purposes and operational procedures of biobanks, as well as the ethical, legal and social implications of biobank research.

Assessment of willingness of Saudi public to participate in a dental biorepository for research purposes.

BACKGROUND: Biobanks/biorepositories are created to collect biospecimens for therapeutic and research uses. The success of the banking concept depends predominantly on the public's understanding and desire to contribute, which triggers several social, cultural, and ethical implications. The aim of this study is (1) to assess the willingness among adults attending outpatient clinics at King Abdulaziz Medical City to donate dental tissue samples to a biorepository for research purposes, (2) to identify the significant predictors for positive attitudes and willingness to donate dental bio-specimens. METHODOLOGY: This is a cross-sectional study that targeted 401 adult outpatients attending King Abdulaziz Medical City in Riyadh, Saudi Arabia. The questionnaire focused on three main parts: demographic and personal characteristics, and previous experience regarding biorepositories (part I), knowledge about dental biorepositories (part II), and willingness and attitudes towards donating dental biospecimens (part III). Data collected were analyzed using the statistical program SAS (version 9.4) with 0.05 level of significance to determine the willingness of donating tissue to biobanks for biomedical research purposes, measure knowledge and attitude about biobanking, find the association between the assessed variables, and identify significant predictors of positive attitude to donate dental biospecimens. RESULTS: 66% of the participants were willing to donate dental biospecimens, however only 33.9% showed good level of knowledge. Despite the notable lack of knowledge, 54% respondents had favorable attitude towards donating dental biospecimens, and only 17% were negative while the remaining 29% were neutral. Previous involvement in medical research, previous blood testing or donation, female gender, higher education level, employment in a medical facility, and higher monthly income variables were found to be significantly associated with higher willingness to donate dental biospecimens. CONCLUSION: Although the majority of the participants exhibited lack of knowledge about dental biorepositories, they showed high willingness and good attitude towards donating dental biospecimens. This favorable attitude is, in turn, encouraging for the future establishment of dental biorepositories in Saudi Arabia. Six factors were significantly associated with the willingness to donate dental biospecimens, out of these, female gender, previous blood testing/donation, previous involvement in medical research were found to be strong predictors.

Electronic Health Records Are the Next Frontier for the Genetics of Substance Use Disorders.

Compared with other psychiatric disorders of similar heritabilities, the progress of substance use disorders (SUD) genetics has been slow. With the growing availability of large-scale biobanks with extensive phenotypes from electronic health records (EHR) and genotypes across millions of individuals, this platform is the next tool to accelerate SUD genetics research.