PTPRJ, variants, traits, and what the research shows

PTPRJ - what this gene does

Variants catalogued for PTPRJ span cancer, rare disease, cardiovascular, and neurological trait categories - the available evidence does not characterize specific molecular mechanisms, but the breadth of trait associations makes this gene a recurring subject in population genetics research.

Key takeaways

• The strongest signals tie this gene to cancer and rare disease phenotypes
• Rare disease associations recur across at least five independent variants, strengthening that theme
• Cardiovascular and neurological signals add further breadth to the trait profile
• 154 variants are on file, but only 26 carry prior research summaries - most associations remain under-characterized
• All associations are population-level statistical signals; they are not deterministic predictors for any individual

Notable variants

The five highest-magnitude variants carry scores of 5.50. rs121434507 and rs1566734 are linked to cancer, while rs144207207, rs2495194878, and rs758226104 are each associated with rare disease phenotypes. Stepping down to magnitude 4.50, rs10742834 and rs4597030 carry cardiovascular signals, rs72899741 is linked to neurological traits, and rs151078858 adds another rare disease association. A further rare disease signal appears in rs1190422297 at magnitude 3.00.

Trait associations

Cancer is the highest-magnitude theme, represented by rs121434507 and rs1566734. Rare disease phenotypes show the broadest coverage: five variants - rs144207207, rs2495194878, rs758226104, rs151078858, and rs1190422297 - independently point to this category, which adds weight to the association even in the absence of detailed trait labels for each. Cardiovascular traits are linked through rs10742834 and rs4597030, and a neurological association appears through rs72899741.

Evidence quality

The five magnitude-5.50 variants represent the strongest signals in this dataset, but specific effect sizes (such as odds ratios) and sample sizes are not available in the current data. Of 154 total variants on file, only 26 have prior research summaries, meaning the vast majority have not been contextualized through editorial review. Most signals originate from GWAS (genome-wide association study - a method that scans large numbers of genomes to identify variants statistically linked to a trait) findings. Without replication details or cohort sizes for most entries, the overall evidence base should be treated as preliminary; findings without independent replication carry greater uncertainty.

What this is NOT

These variants represent population-level statistical associations, not deterministic predictors of health outcomes for any individual. This content is informational only - we do not prescribe, recommend, diagnose, or advise.