Genetic discrimination: emerging ethical challenges in the context of advancing technology

Australian researcher's perspectives on the Australian industry-led moratorium on genetic tests in life insurance

Fear of insurance discrimination can inhibit genetic research participation. In 2019, an industry-led partial moratorium on using genetic results in Australian life insurance underwriting was introduced. This mixed-methods study used online surveys (n = 59 participants) and semi-structured interviews (n = 22 participants) to capture researchers' perceptions about the moratorium. 66% (n = 39/59) were aware of the moratorium before the survey. Of researchers returning genetic results, 56% (n = 22/39) reported that insurance implications were mentioned in consent forms, but a minority reported updating consent forms post-moratorium (n = 13/39, 33%). Most researchers reported that concerns regarding life insurers utilizing research results inhibited recruitment (35/59, 59%), and few perceived that the moratorium positively influenced participation (n = 9/39, 23%). These findings were supported by qualitative findings which revealed that genetic discrimination concerns were a major issue for some individuals, though these concerns could be eclipsed by the promise of a diagnosis through research participation. The majority thought a regulatory solution should be permanent (n = 34/51, 67%), have financial limits of at least ≥1,000,000 AUD (37/51, 73%), and involve government oversight/legislation (n = 44/51, 86%). In an era where an increasing number of research studies involve genomics as a primary or secondary objective, it is crucial that we have regulatory solutions to address participants' hesitation.

Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project

Combining training data from multiple sources increases sample size and reduces confounding, leading to more accurate and less biased machine learning models. In healthcare, however, direct pooling of data is often not allowed by data custodians who are accountable for minimizing the exposure of sensitive information. Federated learning offers a promising solution to this problem by training a model in a decentralized manner thus reducing the risks of data leakage. Although there is increasing utilization of federated learning on clinical data, its efficacy on individual-level genomic data has not been studied. This study lays the groundwork for the adoption of federated learning for genomic data by investigating its applicability in two scenarios: phenotype prediction on the UK Biobank data and ancestry prediction on the 1000 Genomes Project data. We show that federated models trained on data split into independent nodes achieve performance close to centralized models, even in the presence of significant inter-node heterogeneity. Additionally, we investigate how federated model accuracy is affected by communication frequency and suggest approaches to reduce computational complexity or communication costs.

Pangenomics: A new era in the field of neurodegenerative diseases

A pangenome is composed of all the genetic variability of a group of individuals, and its application to the study of neurodegenerative diseases may provide valuable insights into the underlying aspects of genetic heterogenetiy for these complex ailments, including gene expression, epigenetics, and translation mechanisms. Furthermore, a reference pangenome allows for the identification of previously undetected structural commonalities and differences among individuals, which may help in the diagnosis of a disease, support the prediction of what will happen over time (prognosis) and aid in developing novel treatments in the perspective of personalized medicine. Therefore, in the present review, the application of the pangenome concept to the study of neurodegenerative diseases will be discussed and analyzed for its potential to enable an improvement in diagnosis and prognosis for these illnesses, leading to the development of tailored treatments for individual patients from the knowledge of the genomic composition of a whole population.

Advancing Precision Medicine with Gene and Cell Therapy in Malaysia: Ethical, Legal, and Social Implications

A new era of gene and cell therapy for treating human diseases has been envisioned for several decades. However, given that the technology can alter any DNA/cell in human beings, it poses specific ethical, legal, and social difficulties in its application. In Malaysia, current bioethics and medical ethics guidelines tackle clinical trials and biomedical research, medical genetic services, and stem cell research/therapy. However, no comprehensive framework and policy is available to cater to ethical gene and cell therapy in the country. Incorporating ethical, legal, and social implications (ELSI) would be crucial to guide the appropriate use of human gene and cell therapy in conjunction with precision medicine. Policy experts, scientists, bioethicists, and public members must debate the associated ELSI and the professional code of conduct while preserving human rights.

Racial Differences in Perceptions of Genetic Wellness Programs

PURPOSE

Genetic wellness programs (GWPs) are a highly innovative workforce wellness product. Recently marketed to U.S. employers by at least 16 vendors, GWPs take advantage of low-cost DNA sequencing to detect genetic risk factors for an increasing array of diseases. The purpose of this research is to understand perceptions, concerns, and barriers related to GWPs, among employees from Black, White, and Asian backgrounds and different income levels.

APPROACH

Qualitative study with 3 focus groups (FGs).

SETTING

Employees of large high-technology companies (deemed likely early GWP adopters).

RESPONDENTS

21 individuals recruited online through User Interviews.

METHOD

FG guide developed via literature review and landscape analysis, and pre-tested. FGs led by a trained moderator and audio-recorded. Transcripts content analyzed for key themes.

RESULTS

Nearly all respondents saw potential benefits to GWP participation for themselves or their families. However, there were profound differences in perceptions of risks to GWP participation between Black and White/Asian respondents. These differences surfaced in three broad areas: privacy and discrimination risks; family impact risks; and feelings about the employer. Willingness to participate in a GWP also varied between Black employee respondents and White and Asian employee respondents (including low-income White employees). Only 27% of Black employees would participate in GWP, compared to 90% of the other employees.

CONCLUSION

Most employees appear likely to support employer adoption of GWPs. However, Black employees report significant concerns regarding participation. Addressing these concerns through program design would benefit all employees, and could increase trust and uptake of GWPs.

Human Pangenomics: Promises and Challenges of a Distributed Genomic Reference

A pangenome is a collection of the common and unique genomes that are present in a given species. It combines the genetic information of all the genomes sampled, resulting in a large and diverse range of genetic material. Pangenomic analysis offers several advantages compared to traditional genomic research. For example, a pangenome is not bound by the physical constraints of a single genome, so it can capture more genetic variability. Thanks to the introduction of the concept of pangenome, it is possible to use exceedingly detailed sequence data to study the evolutionary history of two different species, or how populations within a species differ genetically. In the wake of the Human Pangenome Project, this review aims at discussing the advantages of the pangenome around human genetic variation, which are then framed around how pangenomic data can inform population genetics, phylogenetics, and public health policy by providing insights into the genetic basis of diseases or determining personalized treatments, targeting the specific genetic profile of an individual. Moreover, technical limitations, ethical concerns, and legal considerations are discussed.

Lecanemab and APOE Genotyping in Clinical Practice-Navigating Uncharted Terrain

This Viewpoint discusses the findings of the Clarity AD trial, which studied lecanemab for patients with early-stage Alzheimer disease.

Attitude Disparity and Worrying Scenarios in Genetic Discrimination-Based on Questionnaires from China

Objectives: As genetic testing is increasingly used in non-medical fields, the judgment of people's potential conditions based on predictive genetic information inevitably causes genetic discrimination (henceforth GD). This article aimed to systematically investigate the disparity in attitudes and worrying scenarios concerning GD in China. Methods: A questionnaire survey of 555 respondents was conducted. Statistical tests were used to examine disparity in attitudes between gender, age, and education. A descriptive analysis was also conducted to explore other worrying scenarios. Results: It shows that (1) men are more tolerant of GD compared to women, and (2) participants aged between 18 and 30 years old possess the highest objection to GD. However, (3) no indication can attest to the relationship between educational level and perspective on GD. In addition, (4) the acceptance of gene testing in the three most common scenarios is ranked in descending order as follows: partner choice, insurance services, and recruitment. Moreover, (5) worrying scenarios relating to GD include: education, social occasions, medical services, fertility, shopping, and so on. Conclusions: Based on the results, suggestions proposed include developing a blacklist mechanism in the field of genetic data application and strengthening the security regulations for the commercial use of genetic data.

Components, prospects and challenges of personalized prevention

Effective preventive strategies are urgently needed to address the rising burden of non-communicable diseases such as cardiovascular disease and cancer. To date, most prevention efforts to reduce disease incidence have primarily targeted populations using "one size fits all" public health recommendations and strategies. However, the risk for complex heterogeneous diseases is based on a multitude of clinical, genetic, and environmental factors, which translate into individual sets of component causes for every person. Recent advances in genetics and multi-omics enable the use of new technologies to stratify disease risks at an individual level fostering personalized prevention. In this article, we review the main components of personalized prevention, provide examples, and discuss both emerging opportunities and remaining challenges for its implementation. We encourage physicians, health policy makers, and public health professionals to consider and apply the key elements and examples of personalized prevention laid out in this article while overcoming challenges and potential barriers to their implementation.

Human genetics education as part of the Japanese Cancer Education Comprehensive Support Project

In Japan, cancer education has been initiated with children as a measure against cancer. Cancer genome medicine, which is a social implementation, includes aspects of genetic medicine. For this reason, it is assumed that content related to "genetics" is also necessary in cancer education. To investigate the actual situation regarding the teaching of genetics in cancer education, we conducted a questionnaire survey of schoolteachers involved in cancer education; these schoolteachers belonged to the model school of the Cancer Education Comprehensive Support Project. Regarding genetic content, we asked questions related to two aspects: "the molecular genetic mechanisms of cancer" and "the phenomenon of sharing cancer in the family." The results showed that about 60% of the teachers had experience teaching content related to the molecular genetic mechanisms of cancer and the phenomenon of sharing cancer in the family. While many teachers felt that teaching genetics in cancer education was necessary, they also felt that there were difficulties in doing so: 65.2% for content related to the molecular genetic mechanisms of cancer and 70.8% for that related to the phenomenon of sharing cancer in the family. It is important to properly treat cancer as a genetic disease, and it is necessary to examine government curriculum guidelines and establish a collaborative system among other subjects. In addition, the involvement of specialists in genetic medicine and psychosocial support is expected to improve teachers' genetic literacy as well as to communicate with students with consideration for their family history.

Association between Health Insurance Type and Genetic Testing and/or Counseling for Breast and Ovarian Cancer

As genetic testing becomes increasingly incorporated into clinical practice to aid in both the diagnosis and risk assessment of genetic diseases, patients benefit from genetic counseling to support their understanding of test results either before and/or after genetic testing. Therefore, access to genetic testing and counseling is imperative for patient care. It is well established that health insurance coverage is a major determinant of access to health care in the United States as individuals without insurance are less likely to have a regular source of health care than their insured counterparts. Different health insurance plans and benefits also influence patients’ access to health care. Data on the association of health insurance and the uptake of genetic testing and/or counseling for cancer risk are limited. Using data from the National Health Interview Survey, we examined the uptake of genetic testing and/or counseling for breast/ovarian cancer risk by health insurance type. We found that only a small proportion of women undergo genetic testing and/or counseling for breast/ovarian cancer risk (2.3%), even among subgroups of women at risk due to family or personal history (6.5%). Women with health insurance were more likely to undergo genetic testing and/or counseling for breast/ovarian cancer risk, particularly those with military and private insurance plans, than those without health insurance after adjusting for various demographic, socioeconomic, and health risk covariates. Further investigations are needed to examine potential disparities in access and health inequities.

Genetic Testing and/or Counseling for Colorectal Cancer by Health Insurance Type

Genetic testing is increasingly used in clinical practice to assist with the diagnosis of genetic diseases and/or provide information about disease risk, and genetic counseling supports patient understanding of test results before and/or after genetic testing. Therefore, access to genetic testing and counseling is important for patient care. Health insurance coverage is a major determinant of access to health care in the United States. Uninsured individuals are less likely to have a regular source of health care than their insured counterparts. Different health insurance types and benefits also influence access to health care. Data on the association of health insurance and uptake of genetic testing and/or counseling for cancer risk are limited. Using data from the National Health Interview Survey, we examined the uptake of genetic testing and/or counseling for colorectal cancer (CRC) risk by health insurance type. We found that only a small proportion of individuals undergo genetic testing and/or counseling for CRC risk (0.8%), even among subgroups of individuals at risk due to family or personal history (3.7%). Insured individuals were more likely to undergo genetic testing and/or counseling for CRC risk, particularly those with Military and Private insurance plans, after adjusting for various demographic, socioeconomic, and health risk covariates. Further investigations are warranted to examine potential disparities in access and health inequities.

Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality

Close relative (consanguineous) marriage is widely practised globally, and it increases the risk of genetic disorders. Mobile apps may increase awareness and education regarding the associated risks in a sensitive, engaging, and accessible manner. This systematic review of patient-facing genetic/genomic mobile apps explores content, function, and quality. We searched the NHS Apps Library and the UK Google Play and Apple App stores for patient-facing genomic/genetic smartphone apps. Descriptive information and information on content was extracted and summarized. Readability was examined using the Flesch–Kincaid metrics. Two raters assessed each app, using the Mobile App Rating Scale (MARS) and the IMS Institute for Healthcare Informatics functionality score. A total of 754 apps were identified, of which 22 met the eligibility criteria. All apps intended to inform/educate users, while 32% analyzed genetic data, and 18% helped to diagnose genetic conditions. Most (68%) were clearly about genetics, but only 14% were affiliated with a medical/health body or charity, and only 36% had a privacy strategy. Mean reading scores were 35 (of 100), with the average reading age being equivalent to US grade 12 (UK year 13). On average, apps had 3.3 of the 11 IMS functionality criteria. The mean MARS quality score was 3.2 ± 0.7. Half met the minimum acceptability score (3 of 5). None had been formally evaluated. It was evident that there are few high-quality genomic/genetic patient-facing apps available in the UK. This demonstrates a need for an accessible, culturally sensitive, evidence-based app to improve genetic literacy within patient populations and specific communities.

Past, Present, and Future of Familial Hypercholesterolemia Management

Familial hypercholesterolemia (FH) is a monogenic form of severe hypercholesterolemia that, if left untreated, is associated with early onset of atherosclerosis. FH derives from genetic variants that lead to inefficient hepatic clearance of low-density lipoprotein (LDL) particles from the circulation. The FH phenotype is encountered in approximately 1 of every 300 people. The risk of atherosclerotic cardiovascular disease (ASCVD) is higher in those with FH than in normolipidemic individuals and in those with polygenic hypercholesterolemia. FH is usually diagnosed by clinical scores that consider hypercholesterolemia, family history of early ASCVD and hypercholesterolemia, and cutaneous stigmata. Genetic diagnosis is important and should be offered to individuals suspected of FH. Family cascade screening is important to identify asymptomatic hypercholesterolemic individuals. Despite the high risk of ASCVD, this risk is heterogenous in heterozygous FH and depends not only on high LDL cholesterol (LDL-C) but also on other risk biomarkers. Risk can be evaluated by considering biomarkers such as male sex, late-onset therapy (> age 40), LDL-C > 310 mg/dL, low high-density lipoprotein cholesterol, elevated lipoprotein(a), obesity, diabetes, and hypertension by using specific risk equations and by detecting subclinical coronary atherosclerosis. Statins are the main therapy for FH and change the natural history of ASCVD; however, most individuals persist with elevated LDL-C. PCSK9 inhibitors provide robust and safe LDL-C lowering in FH, although elevated costs preclude their widespread use. Newer therapies such as ANGPTL3 inhibitors add intensive LDL-C lowering for refractory forms of FH. Finally, while it is possible to normalize LDL-C in people with FH, the disease unfortunately is still severely underdiagnosed and undertreated.

The Genetics of Inherited Cholestatic Disorders in Neonates and Infants: Evolving Challenges

Many inherited conditions cause cholestasis in the neonate or infant. Next-generation sequencing methods can facilitate a prompt diagnosis in some of these cases; application of these methods in patients with liver diseases of unknown cause has also uncovered novel gene-disease associations and improved our understanding of physiological bile secretion and flow. By helping to define the molecular basis of certain cholestatic disorders, these methods have also identified new targets for therapy as well patient subgroups more likely to benefit from specific therapies. At the same time, sequencing methods have presented new diagnostic challenges, such as the interpretation of single heterozygous genetic variants. This article discusses those challenges in the context of neonatal and infantile cholestasis, focusing on difficulties in predicting variant pathogenicity, the possibility of other causal variants not identified by the genetic screen used, and phenotypic variability among patients with variants in the same genes. A prospective, observational study performed between 2010-2013, which sequenced six important genes (ATP8B1, ABCB11, ABCB4, NPC1, NPC2 and SLC25A13) in an international cohort of 222 patients with infantile liver disease, is given as an example of potential benefits and challenges that clinicians could face having received a complex genetic result. Further studies including large cohorts of patients with paediatric liver disease are needed to clarify the spectrum of phenotypes associated with, as well as appropriate clinical response to, single heterozygous variants in cholestasis-associated genes.