That’s a good point. Also if people have very limited ability for prevention (limited time or resources) then knowing what to prioritize can be useful. This is in contrast to most of us that are super interested in longevity and try preventing everything.
I think all sorts of things have trade offs and hormones come to mind most obviously.
Estrogen is neuroprotective (and bone protective) but potentially a cancer risk factor. Say you have strong family history of breast cancer and AD - my sister.
Testosterone if you have a very low risk of CVD or higher risk of osteo or sarcopenia.
Tadalafil has good evidence for CVD protection but potentially harmful for LBD or maybe AD.
Some of these are all debatable but lots of things would seem to be harmful in one category and beneficial in others.
And never discount that some people are okay to die of CVD or cancer but don’t let them have AD. Or whatever preference for 1 disease over another that might not always be rational.
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This is my new go recommendation for whole genome sequencing for two reasons:
First, they put a high value on privacy:
Second, their new .genome data format should greatly improve LLM token efficiency when analyzing a genome:
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what are the differences between 3x, 30x, and 100x?
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These posts in this thread give a good idea:
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