LINC01414, variants, traits, and what the research shows

LINC01414 -- what this gene does

LINC01414 (long intergenic non-coding RNA 01414) is a lncRNA gene -- meaning it produces RNA molecules longer than 200 nucleotides that do not code for protein and may play regulatory roles in how other genes are expressed. Based on the variants catalogued at this locus, the gene has been statistically linked across GWAS (genome-wide association studies -- research that scans many people's genomes for variants associated with a trait) to traits spanning mental health, neurological conditions, cancer, metabolic phenotypes, kidney function, and sleep.

Key takeaways

• Three separate high-magnitude variants near this gene are associated with mental health traits, the strongest repeated signal in its profile.
• High-magnitude variants are also tied to neurological traits and to cancer.
• A secondary cluster of five variants points to metabolic associations, with smaller signals for kidney function and sleep.
• All associations are population-level statistical findings from GWAS and related research, not predictions for any individual.
• The detailed evidence base for this gene is still developing, with full effect sizes not published for most variants in the current dataset.

Notable variants

The five highest-magnitude variants on file all carry a score of 4.50. Three are tagged to mental health traits: rs1838421, rs36165316, and rs7017705. At the same magnitude, rs28549862 is linked to neurological traits and rs570225689 is associated with cancer. A secondary tier at magnitude 2.20 includes metabolic trait associations across rs10957299, rs10957300, rs112067118, rs1149470, and rs11787111, plus a kidney signal at rs10101906, a neurological signal at rs10105127, and a sleep signal at rs10957292.

Trait associations

Mental health is the most consistently represented category, appearing across three of the five highest-magnitude variants (rs1838421, rs36165316, rs7017705) -- that numerical clustering across independent rsids is notable even without effect size data. Neurological traits appear at two separate tiers, once at the high-magnitude level (rs28549862) and once in the secondary tier (rs10105127), providing two independent data points. Cancer is represented by a single high-magnitude entry (rs570225689). Metabolic phenotypes form the largest secondary-tier cluster, with five distinct variants (rs10957299, rs10957300, rs112067118, rs1149470, rs11787111) sharing the trait label. Kidney function (rs10101906) and sleep (rs10957292) each contribute one secondary-tier signal.

Evidence quality

The variant dataset for this gene spans 89 total entries, of which 19 have at least some editorial record. The information available here consists of trait-category labels and magnitude scores; full effect sizes, odds ratios, sample sizes, and cohort provenance are not attached to these rsids in the current dataset. The five 4.50-magnitude variants represent the strongest signals by score, with the mental health cluster being the most numerically prominent signal, but without published summary statistics or replication counts it is not possible to assess their individual robustness or whether they tag the same underlying signal. The 2.20-magnitude tier covers a broader spread of traits and similarly lacks quantitative detail in what is available here. Readers seeking study-level evidence should follow the individual variant page links cited throughout this entry.

What this is NOT

These variants are population-level statistical associations identified in GWAS and related research, not deterministic predictors of any health condition for any individual person. Nothing on this page constitutes medical advice, a clinical diagnosis, or a recommendation to take any action.