Chromosomal Microarray Analysis (CMA) is a genome-wide technology that allows for identification of genomic alterations, such as deletions and duplications, at an unprecedented resolution. However, many genetic variations are identified that have unknown or uncertain clinical significance. New clinical guidelines recommend CMA testing for children with Autism Spectrum Disorder (ASD). ASD is one of the most common serious developmental disorders, found in almost 1% of children in the United States.

The objective of this training and research project is to develop the candidate into an independent and interdisciplinary ELSI researcher, with the ability to intertwine qualitative empirical with normative approaches to issues in genetics and genomics.

Genomics-based technologies are increasingly used in clinical care and are highly relevant to public health because of their potential use in assessing risk, diagnosing, and developing treatment plans. Access to genomic tests often depends on cost and coverage of services by the health plan. No studies, to our knowledge, identify whether access and reimbursement issues relating to guideline-recommended pharmacogenomic tests exist, and what the potential implications of barriers to access and/or differential access for patients, providers, and society are.

Living donor kidney transplantation (LDKT) is promoted to redress the shortage of kidneys for transplantation. However, studies show that living donors (LDs) have a greater risk of kidney failure than healthy non-LDs post-donation.4-6 Moreover, African American (AA) LDs have an even greater risk of kidney failure post-donation than European American (EA) LDs.4,5 These findings have generated heightened concerns in the transplant community over protecting LDs' safety and improving LDs' informed consent.7-14 Genetics may help explain this disparity.

Responsible conduct of research (RCR) is an essential requirement for research training in developed countries and most academic and funding institutions require researchers to obtain such training before starting a research project Jordan is one of the more academically established countries in the Middle East and North Africa (MENA) region with a high per-capita university education and progressive research agenda. It is also the hub for pharmaceutical drug development with over 20 companies generating generic drugs and exporting it to the region and globally.

Ms. Christi Guerrini is research faculty in the Center for Medical Ethics and Health Policy at Baylor College of Medicine (BCM). BCM is a premier academic health science center known for excellence in education, research, and patient care. The BCM main campus is located in the Texas Medical Center, which is the largest medical center in the world. The Center for Medical Ethics and Health Policy at BCM was established in 1982 and has created an academic culture defined by and supportive of collaborative research and teaching.

Using emerging genomic information to create opportunities for targeted or risk-based screening in cancer prevention and control is a critical component of President Obama's Precision Medicine Initiative. But precision genomic screening raises multiple ELSI (ethical, legal, social, and policy) concerns. The proposed embedded ELSI research project presents a unique opportunity to follow and assess the ELSI issues that accompany a pioneering randomized pragmatic clinical trial of a risk-based approach to breast cancer screening.

This project will identify and address ethical and practical barriers to qualitative data sharing (QDS) in health sciences research. Qualitative research has unique value in understanding health behaviors and traits that are stigmatized and hidden such as risk factors for HIV or a genetic propensity to addiction. Accordingly, a lot of qualitative data are sensitive, and the data are provided within relationships of trust.

Health-relevant information no longer comes just from electronic medical records but also from the digital footprints left behind when people use mobile applications, search the internet, wear activity monitoring devices, access direct-to-consumer health care testing, or simply converse in social media. Many efforts including those tied to the Precision Medicine Initiative (PMI) are fueling the development of large population-based databases that link clinical and genetic information.

Addictive disorders are increasingly conceptualized as biomedical diseases with genetic roots. While conventional wisdom has suggested that attributing addictions to genetics should have many benefits, there is reason to suspect that it could have some unintended, negative consequences. In particular, genetic explanations for addictive disorders could lead to the perception that people with addictions lack agency or self-efficacy to overcome their symptoms and to the belief that non-biomedical treatments, such as psychotherapy, are unlikely to be effective.