LabToolsThe Research Infrastructure
  • Features
  • Demo
  • Technology
  • Examples
  • White Paper
  • FiTrace
  • Data Analysis ↗
  • Calculators
  • Scheduler
Download
FeaturesDemoTechnologyExamplesWhite PaperFiTraceData Analysis ↗CalculatorsSchedulerHealth Tracker ↗

All examples · Example 31 of 34

Manhattan PlotOmicsStatistical report

Manhattan Plot: GWAS

Manhattan plot of 49,992 SNPs across 22 autosomes; the dashed line marks genome-wide significance (p = 5 × 10⁻⁸).

Manhattan plot of 49,992 SNPs across 22 autosomes; the dashed line marks genome-wide significance (p = 5 × 10⁻⁸).

Key findings

  • 13 SNPs pass the genome-wide 5 × 10⁻⁸ line; correcting only for the 49,992 SNPs on this panel, Bonferroni keeps 24 and Benjamini–Hochberg 52.
  • 49,992 p-values are corrected in one LabTools call, in well under a second.
4 LabTools stats calls
1 of 15 stats methods
LabTools 0.14.3
600 dpi PNG Data (CSV) Raw LabTools output

49,992 SNPs, one family

Genome-wide association uses a fixed threshold of p < 5 × 10⁻⁸ — Bonferroni for about a million independent tests. Here LabTools applies the four corrections to the SNPs actually tested, so the difference between family-wise and false-discovery control is visible at genome scale.

49,992 tests, α = 0.05

CorrectionControlsTestsRaw p < 0.05Significant after correction
Bonferronifamily-wise error49,9922,63024
Holmfamily-wise error49,9922,63024
Benjamini–Hochbergfalse discovery rate49,9922,63052
Benjamini–Yekutielifalse discovery rate49,9922,63031
LabTools calls (4)
stats.adjust
labtools stats adjust --p-values @p_values.json --labels @labels.json --method bonferroni --alpha 0.05
stats.adjust
labtools stats adjust --p-values @p_values.json --labels @labels.json --method holm --alpha 0.05
stats.adjust
labtools stats adjust --p-values @p_values.json --labels @labels.json --method benjamini-hochberg --alpha 0.05
stats.adjust
labtools stats adjust --p-values @p_values.json --labels @labels.json --method benjamini-yekutieli --alpha 0.05

The same method is available as an MCP tool (stats_adjust) and from the desktop app's statistics panel.

Top 15 by raw p

SNPRaw pBonferroniHolmBHBY
chr3:87,964,9684.7 × 10⁻¹⁰2.4 × 10⁻⁵2.4 × 10⁻⁵2.3 × 10⁻⁵0.0003
chr16:30,995,1179.1 × 10⁻¹⁰4.5 × 10⁻⁵4.5 × 10⁻⁵2.3 × 10⁻⁵0.0003
chr9:40,015,4331.4 × 10⁻⁹6.9 × 10⁻⁵6.9 × 10⁻⁵2.3 × 10⁻⁵0.0003
chr16:30,959,8301.9 × 10⁻⁹9.2 × 10⁻⁵9.2 × 10⁻⁵2.3 × 10⁻⁵0.0003
chr3:88,112,5012.6 × 10⁻⁹0.00010.00012.6 × 10⁻⁵0.0003
chr16:31,062,9754.8 × 10⁻⁹0.00020.00024.0 × 10⁻⁵0.0005
chr16:31,050,2876.0 × 10⁻⁹0.00030.00034.3 × 10⁻⁵0.0005
chr3:88,044,3518.1 × 10⁻⁹0.00040.00045.1 × 10⁻⁵0.0006
chr16:30,916,4201.1 × 10⁻⁸0.00050.00056.0 × 10⁻⁵0.0007
chr9:39,945,4071.4 × 10⁻⁸0.00070.00076.0 × 10⁻⁵0.0007
chr16:31,103,0191.4 × 10⁻⁸0.00070.00076.0 × 10⁻⁵0.0007
chr3:87,911,3151.4 × 10⁻⁸0.00070.00076.0 × 10⁻⁵0.0007
chr16:30,933,0122.4 × 10⁻⁸0.0010.0019.2 × 10⁻⁵0.001
chr3:87,877,4646.5 × 10⁻⁸0.0030.0030.00020.003
chr3:88,133,5761.1 × 10⁻⁷0.0050.0050.00040.004

LabTools notes

  • 2606 comparison(s) were significant on the raw p-values but are not after correction. Report the adjusted values.
  • Holm controls the same familywise error rate as Bonferroni and rejects at least as much, so there is no statistical reason to prefer bonferroni.
  • 2578 comparison(s) were significant on the raw p-values but are not after correction. Report the adjusted values.
  • 2599 comparison(s) were significant on the raw p-values but are not after correction. Report the adjusted values.
13
SNPs at p < 5 × 10⁻⁸
conventional genome-wide threshold
24
Bonferroni-significant (this panel)
threshold 1.0 × 10⁻⁶
52
BH-significant (FDR 5%)

Methods paragraph

Written to go straight into a manuscript.

Three loci reached genome-wide significance, on chromosomes 3, 9 and 16 (lead SNP p = 4.7 × 10⁻¹⁰ to 1.4 × 10⁻⁹).

Every number on this page was computed by the LabTools statistics engine (version 0.14.3) from the example's CSV on 2026-09-23. Where a value was derived before the data reached LabTools (replicate means, paired differences, log odds ratios), the text says so. The data are simulated from a fixed random seed.

Volcano Plot: RNA-seqPCA: Sample Clustering

Get started

Run the same analysis on your data

Every test on this page is built into LabTools — from the statistics panel, the command line, or an AI assistant through MCP.

Download freeMore examples

LabTools

The research infrastructure: plot to figure to manuscript in one place. Free for academic and individual use.

Product

  • Features
  • Technology
  • Demo & Tutorials
  • Examples
  • Download

Support

  • Contact Support
  • Help Center

Filliaux Industries

  • filliaux.com
  • Data Analysis
  • Health Tracker

Stay updated

Research tips, product updates, and release notes. No spam.

© 2026 Filliaux Industries · LabToolsPrivacyTermsCookiesLinkedIn