3 ms·
> Troyanskaya and her colleagues investigated the variants associated with a person’s collection of characteristics. They applied a statistical model to data on
by Y_Y 2y ago
> Troyanskaya and her colleagues investigated the variants associated with a person’s collection of characteristics. They applied a statistical model to data on the traits and behaviors of 5,392 autistic people from the SPARK research cohort. By adjusting the number of groups, the team found the most significant similarities among participants when the model sorted the cohort into four autism subtypes.
https://www.medrxiv.org/content/10.1101/2024.08.15.24312078v1.full-text https://www.medrxiv.org/content/10.1101/2024.08.15.24312078v...
Not my field, but the statiscal analysis seems legit.
- pfisherman 2y agoHave not read the article in depth yet, but I am very familiar with the Troyanskaya lab. They are good and their articles are always worth a read. They are using a geodesic finite mixture model, which I am not familiar with, but seems to be an extension of mixture models to non Euclidean metric? Pleiotropy can be tricky though, as traits / diagnoses / observations can have causal relationships amongst themselves. For example, a variant that impacts obesity may be statistically associated with heart attacks; but the relationship between the variant and heart attacks is not directly causal in the sense of something like a variant that alters function of an ion channel expressed in cardiac smooth muscle.