FER, variants, traits, and what the research shows

FER: what this gene does

Based on the variants catalogued here, FER shows its strongest associations with cardiovascular traits. No full research summaries were available for this build, so the sections below reflect what can be drawn directly from the variant list alone.

Key takeaways

• Two of the highest-scoring variants in this gene are linked to cardiovascular traits.
• A third top-magnitude variant has not yet been assigned a trait in this dataset.
• 90 total variants are on file; most currently lack trait annotations.
• Population-level associations are not deterministic predictors for any individual.
• The evidence base for this gene will be fuller once SNP summaries are incorporated.

Notable variants

The two highest-magnitude cardiovascular signals are rs150723437 and rs187682371, both scored at magnitude 4.50 and both tagged with cardiovascular trait associations. A third variant at the same magnitude tier, rs4957796, does not yet carry a trait annotation in the current data. A cluster of magnitude-3.00 variants including rs138502993, rs147406165, rs149517787, rs149945605, and rs182613310 are on file but currently lack trait labels, limiting what can be said about their relevance.

Trait associations

The primary trait theme visible in the current variant data is cardiovascular, represented by rs150723437 and rs187682371. Both share a magnitude score of 4.50, placing them among the stronger signals in this gene's profile. Cardiovascular appears in no other annotated variants in this dataset, so cross-variant replication within this gene cannot yet be confirmed.

Evidence quality

The dataset includes 90 variants across this gene, with 16 noted as carrying prior research summaries, though no summary text was available for this build. The two cardiovascular-tagged variants (rs150723437 and rs187682371) represent the most annotated signals on file. Without access to sample sizes, odds ratios, or replication cohort information, it is not possible to assess whether these represent large multi-cohort GWAS (genome-wide association study, a study type that scans many people's genomes for variants statistically associated with a trait) findings or smaller single-cohort preliminary work. All findings here should be treated as preliminary until full SNP summaries are incorporated.

What this is NOT

The variants listed are population-level statistical associations, not deterministic predictors of any health outcome for any individual. This page does not prescribe, diagnose, or advise any course of action.