TRAF3, variants, traits, and what the research shows

TRAF3 - what this gene does

Variants in TRAF3 are associated across genomic research with three broad trait categories: rare disease, mental health, and cancer. The current data does not include functional metadata specific enough to characterise a mechanism, so this entry describes the gene by the pattern of signals its variants carry.

Key takeaways

• Eight high-magnitude variants are linked to rare disease phenotypes - the largest single cluster in the catalogue.
• Two variants carry mental health associations and have dedicated research pages.
• One variant is linked to cancer.
• The gene has 228 catalogued variants in total, with 20 carrying prior research summaries.
• All associations here are population-level statistical signals, not predictive tests for any individual.

Notable variants

The highest-magnitude signals on file are eight rare-disease-linked variants - rs137916856, rs139127242, rs141920055, rs143813189, rs183443558, rs2542619877, rs2542634545, and rs775312865 - each scoring a magnitude of 5.50, the highest in this gene's current catalogue. At magnitude 4.50, two mental-health-associated variants, rs10132977 and rs11552464, have published research pages. Also at magnitude 4.50, rs76220826 is linked to cancer.

Trait associations

The variant data points to three trait domains. Rare disease is the dominant theme: the eight magnitude-5.50 variants above all share this label, and their convergence at the same magnitude level strengthens - though does not confirm - a meaningful signal. Mental health is represented by rs10132977 and rs11552464 at magnitude 4.50, both of which have published research pages. Cancer appears via rs76220826 at magnitude 4.50. A further nine variants at magnitude 3.00 - including rs1005450366 and rs1023557232 - carry no trait annotation in the current catalogue.

Evidence quality

The strongest signals by magnitude are the eight rare-disease-linked variants at 5.50; however, no sample sizes, odds ratios, or replication details are available in the current data, making it impossible to determine whether these arise from large multi-cohort GWAS (genome-wide association studies - research scans of many people's genomes for variants statistically linked to a trait) or smaller, preliminary investigations. The two mental-health variants have published research pages suggesting a more developed evidence base, though those summaries are not reproduced here. The nine magnitude-3.00 entries carry no trait annotations, limiting their interpretability entirely. In the absence of replication data, all associations here should be treated as preliminary leads rather than established findings.

What this is NOT

These variants represent population-level statistical signals observed in research cohorts - they do not deterministically predict disease or any health outcome for any individual. This entry does not prescribe, diagnose, or advise any course of action.