Of course it has been proven scientific. There is a few genes that are linked to androgenetic alopecia (like androgen receptor polimorphism, 5 reductase etc.). And you dont even have to test ANY genom to know if a disease is genetic or not. And even so genes can be turn off and on, someone who doesn't has balding genes cant turn them on.
What are you talking about, there are hundred of genes that they say are relatable and have a saying in balding, there are even DNA test labs that you can pay to do a "baldness test" and they show there all the genes reported and found that have something to do with baldness, it's a scam anyways if you only see their results on multiple people i had the "honor" in seeing some.
It's more complicated than this and they are just blabbering around in a very unknown domain they are only basing their knowledge on assumptions, in almost every sentence of their studies it's said "it could be" "we presume" and many more terms that show clearly that they don't have a 100% accurate knowledge about it, they are just assuming.
All the genes they found recently are ASSOCIATED with different things, from hair growth, hair everything, they don't actually know how it works, it's a very controversial and vague subject, there is no clear answer and there are a lot of unknown factors, that's why they just say, it's genetic and move on because it really is genetic but GENETICS are not like that, you took the gene and that's it, it's more complicated than that but what do i expect, most people have no idea about their bodies, how it works or how drugs works and many other general things, what do you expect from them when it comes to GENETICS lol
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5308812/#:~:text=The top X chromosome gene,and downstream (OPHN1) genes.
"Abstract
Male pattern baldness can have substantial psychosocial effects, and it has been phenotypically linked to adverse health outcomes such as prostate cancer and cardiovascular disease. We explored the genetic architecture of the trait using data from over 52,000 male participants of UK Biobank, aged 40–69 years.
We identified over 250 independent genetic loci associated with severe hair loss (P<5x10-8). By splitting the cohort into a discovery sample of 40,000 and target sample of 12,000, we developed a prediction algorithm based entirely on common genetic variants that discriminated (AUC = 0.78, sensitivity = 0.74, specificity = 0.69, PPV = 59%, NPV = 82%) those with no hair loss from those with severe hair loss. The results of this study might help identify those at greatest risk of hair loss, and also potential genetic targets for intervention."
