trustmebro.to/r/…
✓ checked
trust me, bro:
here is the receipt.
the claim

Many genome-wide association studies have shown that the influence of each single nucleotide polymorphism is small and that most reported genetic associations could be false positives.

the verdict
SUPPORTED
the evidence backs this
Recorded sources
3 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that many genome-wide association studies have shown that the influence of each single nucleotide polymorphism is small and that most reported genetic associations could be false positives?

Yes. Genome-wide association studies consistently demonstrate that most individual genetic variants exert very small effects, and careful methodological controls are required to account for multiple testing and manage false positive rates.

Verdict: SUPPORTED · 3 sources for, 0 against · Last checked

The analysis

The retrieved papers widely acknowledge that complex traits are influenced by numerous variants with small effect sizes and that strict significance thresholds or correction methods are necessary due to the massive number of statistical tests performed in GWAS. While some papers propose methods to control false discovery rates or address genomic inflation rather than declaring most reported findings outright false, the fundamental premise that individual SNP effects are small and that multiple testing poses a major false-positive challenge is strongly supported across the literature.

Evidence for · 3
2013
This study investigates small effect sizes and minor allele frequencies that represent the majority of unidentified causal SNPs in GWAS.
Get citation
Spencer, A., Cox, A., & Walters, K. B. (2013). Comparing the Efficacy of SNP Filtering Methods for Identifying a Single Causal SNP in a Known Association Region. doi.org. https://doi.org/10.1111/ahg.12043

See more details
More for · 2
2017
This paper notes that individual loci typically have small effects and that even large meta-analyses recover only a fraction of complex trait heritability.
Get citation
Zablocki, R. W., Levine, R. A., Schork, A. J., Xu, S., Wang, Y., Fan, C. C., & Thompson, W. K. (2017). SEMI-PARAMETRIC COVARIATE-MODULATED LOCAL FALSE DISCOVERY RATE FOR GENOME-WIDE ASSOCIATION STUDIES. doi.org. https://doi.org/10.1101/183384

2026
This tutorial highlights that detecting associations in GWAS remains challenging because of small effect sizes and extensive multiple testing.
Get citation
CY, F., PE, S., N, Z., & B, L. (2026). A Guide for Exploring Pleiotropic Associations in Genome-Wide Association Studies Using Summary Statistics.. doi.org. https://doi.org/10.1002/sim.70717

What does the evidence say?

The retrieved papers widely acknowledge that complex traits are influenced by numerous variants with small effect sizes and that strict significance thresholds or correction methods are necessary due to the massive number of statistical tests performed in GWAS. While some papers propose methods to control false discovery rates or address genomic inflation rather than declaring most reported findings outright false, the fundamental premise that individual SNP effects are small and that multiple testing poses a major false-positive challenge is strongly supported across the literature.

Anyone with this link can read the claim and its public receipt, including any personal information in that text. Open permanent receipt.
Check your own claim
Challenge the receipt
Requests are recorded for review. This does not start an automatic check or guarantee a response time.

See the evidence timeline

Citation formatting by citeproc-js (Frank Bennett) and the Citation Style Language project. Source and licenses.

This receipt is an automated verdict against our published method · not an opinion about any author or publication.
Terms · Privacy · How verdicts work