In APL Bioengineering, researchers employed analysis tools and machine learning algorithms to identify two genes linked to rheumatoid arthritis and osteoporosis that could serve as diagnostic tools and potential targets for treatments. Drawing from a large database of genetic information, they gathered dozens of sequenced genomes from people with rheumatoid arthritis and osteoporosis to look for any similarities, using recently developed computational methods to narrow down their search. They identified genes ATXN2L and MMP14 as significantly associated with the progression of both rheumatoid arthritis and osteoporosis.
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