"White Bias in Genetic Research

Question

May Hurt Health"[Heavily biased genetic databases could-and do—lead scientists and doctors to diagnose conditions or prescribe treatments that might be relevant to people with European genes, but not for people from other racial backgrounds.Which statements from the "Genetic research has a white bias, and it may be hurting everyone's health" article represent reasons that directly support the author's claim? Select the two correct answers.
(1 point)• "Any two humans in the world share about 99.9 percent of their DNA with one another..."
*And heath treatments that don't take the variations of genetically diverse populations into account can cause problems."
*The lack of genetic diversity is "a social injustice, and a missed scientific opportunity," said Esteban
• Burchard, who is a physician and epidemiologist at the University of California, San Francisco, and was not involved in the new paper."
*Moder humans originated on the continent of Africa more than 300,000 years ago, and subsequent generations migrated across the land, with groups intermarrying or splitting apart.*Modern humans originated on the continent of Africa more than 300,000 years ago, and subsequent generations migrated across the land, with groups intermarrying or splitting apart."
'If we don't include ethnically diverse populations, we are potentially going to be exacerbating health inequalities,' said Sarah Tishkoff, study coauthor and a human geneticist at the University of Pennsylvania."

Answer 1

The two statements that directly support the author's claim that there is a bias in genetic research affecting health outcomes for diverse racial backgrounds are:

1. "And health treatments that don't take the variations of genetically diverse populations into account can cause problems."
2. "If we don't include ethnically diverse populations, we are potentially going to be exacerbating health inequalities," said Sarah Tishkoff, study coauthor and a human geneticist at the University of Pennsylvania."

These statements highlight the consequences of bias in genetic databases and the implications for health and treatment equity.