Incorporating risks such as Hp 2-2, homocysteine levels, and CIMT into risk algorithms could enhance their predictive accuracy and enable precise risk stratification in RA, leading to timely implementation of optimal therapy and ultimately improving outcomes. The gene discussed is HP; the disease is rheumatoid arthritis.