Attention Economy


Tuesday, November 22, 2022

An Important Lesson in Statistics

People don’t mate randomly – but the flawed assumption that they do is an essential part of many studies linking genes to diseases and traits
https://theconversation.com/people-dont-mate-randomly-but-the-flawed-assumption-that-they-do-is-an-essential-part-of-many-studies-linking-genes-to-diseases-and-traits-194793
Border and Zaitlen note:
The idea that correlation does not imply causation is a fundamental caveat in epidemiological research. A classic example involves a hypothetical link between ice cream sales and drownings – instead of increased ice cream consumption causing more people to drown, it’s plausible that a third variable, summer weather, is driving up an appetite for ice cream and swimming, and hence opportunities to drown.
But what about correlations involving genes? How can researchers be sure that a particular trait or disease is truly genetically linked, and not caused by something else?
We are statistical geneticists who study the genetic and nongenetic factors that influence human variation. In our recently published research, we found that the genetic links between traits found in many studies might not be connected by genes at all. Instead, many are a result of how humans mate.