Scenario D: Cell division and gene regulationA lab studied a…

Scenario D: Cell division and gene regulationA lab studied a protein (Regulator R) involved in cell division. They compared normal skin cells to melanoma cells. Then they reduced Regulator R in melanoma cells and measured division after 24 hours. Data: Normal: R 1.0; dividing 12% Melanoma: R 3.5; dividing 40% Melanoma + R reduced: R 1.2; dividing 18%D6. Best validity check to include in the write-up:

Scenario D: Cell division and gene regulationA lab studied a…

Scenario D: Cell division and gene regulationA lab studied a protein (Regulator R) involved in cell division. They compared normal skin cells to melanoma cells. Then they reduced Regulator R in melanoma cells and measured division after 24 hours. Data: Normal: R 1.0; dividing 12% Melanoma: R 3.5; dividing 40% Melanoma + R reduced: R 1.2; dividing 18%D2. The comparison between normal and melanoma cells shows primarily:

Scenario E: Carrier screening and test interpretationA PCR-b…

Scenario E: Carrier screening and test interpretationA PCR-based screening test has sensitivity 98% and specificity 99%. In this region, 4% of people are carriers. Assume 1,000 people are tested. Expected outcomes: True carriers: 40 -> true positives 39; false negatives 1 True non-carriers: 960 -> true negatives 950; false positives 10E2. Why is that chance not the same as specificity (99%)?

Scenario E: Carrier screening and test interpretationA PCR-b…

Scenario E: Carrier screening and test interpretationA PCR-based screening test has sensitivity 98% and specificity 99%. In this region, 4% of people are carriers. Assume 1,000 people are tested. Expected outcomes: True carriers: 40 -> true positives 39; false negatives 1 True non-carriers: 960 -> true negatives 950; false positives 10E9. Select all that apply. Factors that influence confidence in a positive result: