Resources for clinical educators teaching genetics
Educators who want to incorporate genetics and genomics into trainee curricula, lectures, or talks to colleagues may find the resources below helpful. Core competencies in genetics can help to prioritize topic areas and the other resources can be used to augment learning.
All core competencies and principles were developed by multidisciplinary working groups coordinated by the National Coalition for Health Professional Education in Genetics (NCHPEG).
Core Competencies for Healthcare Providers. Identifies competencies in genetics for all healthcare providers.
Core Principles in Family History. Identifies core principles in the collection and interpretation of a medical family history for all healthcare providers.
Core Principles in Genetics. Identifies core principles that should constitute basic instruction in genetics for those in healthcare.
Principles of Genetics in the Context of Common Disease. Summarizes principles intended to guide educational efforts that address the expansion of genetics into the realm of common complex diseases.
The Value of Family History in Prenatal Care Practice Slide Set. Teaches about the value of family history in general prenatal care with case studies about family history collection and interpretation.
Family History Core Principles Slide Set. Teaches about inheritance patterns, genetic red flags, and risk assessment using didactic presentation and case studies to demonstrate concepts.
Genetic Testing Methods eBook. Provides information about different genetic testing methods currently used in testing for hereditary cancer syndromes (enhanced e-book available for download).
GINA Discussion Guide. Provides talking points and key information about genetic discrimination and the Genetic Information Nondiscrimination Act (GINA), which protects individuals from the misuse of genetic information in health insurance and employment.
Free, self-directed programs for continuing education credit. Courses can be and have been used in curricula for clinical trainees.
Computational Oncology studies that integrate clinical, genomic, and imaging data to explore the dynamics of tumor heterogeneity and...
A JAX team developed CUP-AI-Dx, a machine learning tool that uses RNA sequence data for analysis. The researchers show that...
Leveraging genetic diversity and computational techniques to investigate the architecture of complex traits
JAX researchers report in Cancer Cell further insight into yet another way extrachromosomal, circular DNA (ecDNA) may...
The microbiome plays a vital role in our health and wellbeing. Now researchers are using sequencing technology to better...
In the hunt for genetic cancer risk factors, researchers painstakingly analyze huge amounts of genome sequence data.
Progress in clinical genomics depends on entities with substantial resources sequencing lots of people.
Learn how to use the Patient-Derived Xenograft database to access the information available for JAX’s patient-derived xenografts (PDX)...
Resources about ethical, legal, and social issues (ELSI) related to genetics and genomics in clinical practice.
Advance your research in genetics by harnessing the power of the mouse! This new graduate-level advanced genetics course will provide a...
Common tumor resources are crucial to accurately researching different forms of cancer. The Jackson Laboratory has created a...
How to choose the best host strain for tumor studies depending on the type of tumor, its location and the length of time of...
First global online catalog of Patient-Derived Xenograft models helps cancer researchers save valuable time.
JAX Assistant Professor Olga Anczuków, Ph.D., has shed new light on the role of MYC in regulating alternative RNA splicing,...
The SMSR maintains mice that are important tools for genetic analysis of complex diseases, including consomic strains.
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