3.8B Analyze and apply the use of ingenuity and technological resources to solve specific societal needs and improve the quality of life.

Medical Problem Solving, Case 2: What is the Cause of the Seizures?

This activity is focused around a case study. Students use various data tools and data sets (including OMIM, pedigree analysis, 10K Microarray / SNP data and the Genome browser) to identify candidate genes.  After locating the gene, students use BLAST and BLAT to learn more about the type of mutation and normal function of the gene. Read more about Medical Problem Solving, Case 2: What is the Cause of the Seizures?

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Medical Problem Solving, Case 3: Pretzel Syndrome

In a case study-based context, students use microarray data and Chi-square analysis to determine the SNP that is likely causing the condition.  Students then determine the identity of the mutated gene, as well as the function of the normal gene and the type of mutation that causes the syndrome. Read more about Medical Problem Solving, Case 3: Pretzel Syndrome

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Eye Color: Is Blue Really Blue?

What determines eye color? After learning about different models of how eye color is determined, students will examine phenotypes from 16 subjects and predict if they have B (blue) or non-blue HERC2 gene. Next they will analyze PCR light cycler data and see if that matches their predictions. Read more about Eye Color: Is Blue Really Blue?

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DNA Surveillance Unit: Is That an Endangered Whale You’re Eating?

In order to better understand DNA fingerprinting and its real world applications, students will use a real genomic site, DNA Surveillance, based in New Zealand, to test whale samples against a standard database. This is done to monitor the sale of protected whale species in Japanese fish markets. Read more about DNA Surveillance Unit: Is That an Endangered Whale You’re Eating?

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Computation for DNA Fragment Assembly

This activity introduces students to the computation involved in reassembling sequenced DNA to reconstruct the original gene. The activity enhances a reading and activity from Professor Ann Condon of the University of British Columbia that discusses the genetics and programming concepts. This extends those activitities by including some actual Python programming exercises and examples. Read more about Computation for DNA Fragment Assembly

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