The Claim

Polygenic risk scores for suicidal behavior explain up to 1.16% of the variance in suicidal behavior and are associated with a 1.43-fold higher odds of suicidal behavior in individuals in the top quintile of the polygenic risk score compared to those in the middle quintile, indicating modest but statistically significant population-level predictive utility.

Source: Genome-wide association studies identify 77 loci for suicidality and provide novel biological insights

What the research says

Supports is higher

Support is ahead, but a single strong opposing study can change this.

Supports
48score
Challenges
0score

These are independent scores, not a percentage. Higher-grade studies count more, so a single strong opposing study can outweigh several weaker ones.

Quantitative
1 study reviewed
In plain English

A genetic score that adds up many small risks can slightly predict who might be more likely to experience suicidal behavior — people with the highest scores are about 1.4 times more likely than average to be affected, though it only explains a tiny part of the overall risk.

See the scientific wording

Polygenic risk scores for suicidal behavior explain up to 1.16% of variance in suicidal behavior and are associated with a 1.43-fold higher odds in the top PRS quintile compared to the middle, indicating modest but statistically significant predictive utility at the population level.

What the research says

1 study
  1. Study: Genome-wide association studies identify 77 loci for suicidality and provide novel biological insights

    The study found many genes linked to suicidal thoughts and actions, which means genetic scores can help predict risk—just like the claim says, though it doesn’t check the exact numbers.

Score breakdown, mechanism chain, raw evidence, ideal studies needed & 1 supporting studies

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