Fixation Index Calculator
Calculate Wright's F-statistics (FST, FIS, FIT) for population genetics analysis. Measure genetic differentiation between populations, inbreeding within subpopulations, and estimate gene flow.
F-Statistics Calculator
Population genetics analysis
F-Statistics Results
Detailed Interpretation
Moderate genetic differentiation between populations.
Moderate inbreeding within subpopulations.
Moderate overall deviation from Hardy-Weinberg equilibrium.
Wright's FST Guidelines
Understanding F-Statistics
FST = (HT - HS) / HT
- • Measures genetic differentiation
- • Range: 0 (identical) to 1 (fixed)
- • Also called GST, θ (theta)
- • Used for population structure
FIS = (HS - HI) / HS
- • Measures local inbreeding
- • Negative = excess heterozygotes
- • Positive = inbreeding
- • Tests Hardy-Weinberg within groups
FIT = (HT - HI) / HT
- • Total deviation from HW equilibrium
- • Combines FST and FIS effects
- • Reflects overall population structure
- • Used in forensic genetics
(1 - FIT) = (1 - FIS)(1 - FST)
- • F-statistics are hierarchical
- • Total = local × between
- • Allows decomposition of effects
- • Validation check for calculations
Wright's FST Interpretation Guidelines
| FST Range | Level | Description | Implication |
|---|---|---|---|
| 0 - 0.05 | Little | Little genetic differentiation | High gene flow, panmixia |
| 0.05 - 0.15 | Moderate | Moderate differentiation | Some population structure |
| 0.15 - 0.25 | Great | Great differentiation | Limited gene flow |
| > 0.25 | Very Great | Very great differentiation | Isolated populations |
* These are general guidelines. Interpretation should consider biological context, marker type, and sample size.
Gene Flow Estimation
Wright's Island Model
- • Nm = effective number of migrants per generation
- • Nm > 1 prevents substantial drift
- • Nm > 4 suggests panmixia
- • Assumes equilibrium and island model
Interpretation Guide
Applications of F-Statistics
Assess genetic diversity and population connectivity for endangered species management
Account for population structure in DNA profile match probability calculations
Study speciation, genetic drift, and natural selection patterns
Evaluate breeding programs and maintain genetic diversity in livestock
Correct for population stratification in genome-wide association studies (GWAS)
Heterozygosity Measures
Expected heterozygosity of the total population
Where p̄ᵢ is the mean frequency of allele i across all subpopulations
Mean expected heterozygosity within subpopulations
Average of Hardy-Weinberg expectations per subpopulation
Actual proportion of heterozygous individuals observed
Direct count from genotype data; compared to HS to test Hardy-Weinberg equilibrium