IHS/BFM/3/5

This page describes a signal of selection found in the Burkina Faso An. coluzzii populationusing the IHS (Cite et al. 20XX) statistic.The focus of this signal is on chromosome arm 3L between positions 23,159,316 and 23,219,316. The evidence supporting this signal is moderate (\Delta_{i} >= 50 on both flanks).

Signal location. Blue markers show the values of the selection statistic. The dashed black line shows the fitted peak model. The shaded red area shows the focus of the selection signal. The shaded blue area shows the genomic region in linkage with the selection event. Use the mouse wheel or the controls at the top right of the plot to zoom in, and hover over genes to see gene names and descriptions.

Genes

Gene AGAP011384 overlaps the focal region.

The following 3 genes are within 50 kbp of the focal region: AGAP029132, AGAP011387 (ribosome assembly protein SQT1), AGAP029131.

Key to insecticide resistance candidate gene types: 1 metabolic; 2 target-site; 3 behavioural; 4 cuticular.

Diagnostics

The information below provides some diagnostics from the Peak modelling algorithm.

Selection signal in context. @@TODO

Peak targetting. @@TODO

Peak fitting diagnostics. @@TODO

Model fit reports

Peak model:

[[Model]]
    Model(skewed_gaussian)
[[Fit Statistics]]
    # function evals   = 38
    # data points      = 586
    # variables        = 4
    chi-square         = 88.485
    reduced chi-square = 0.152
    Akaike info crit   = -1099.823
    Bayesian info crit = -1082.330
[[Variables]]
    center:      0 (fixed)
    amplitude:   1.40308549 +/- 0.107712 (7.68%) (init= 3)
    sigma:       0.31653886 +/- 0.028811 (9.10%) (init= 0.5)
    skew:       -0.93147233 +/- 0.111302 (11.95%) (init= 0)
    baseline:    2.04409771 +/- 0.017161 (0.84%) (init= 1)
    ceiling:     100 (fixed)
    floor:       0 (fixed)
[[Correlations]] (unreported correlations are <  0.100)
    C(sigma, skew)               =  0.552
    C(amplitude, sigma)          = -0.472
    C(sigma, baseline)           = -0.189
    C(amplitude, baseline)       = -0.118

Null model:

[[Model]]
    Model(constant)
[[Fit Statistics]]
    # function evals   = 11
    # data points      = 585
    # variables        = 1
    chi-square         = 120.629
    reduced chi-square = 0.207
    Akaike info crit   = -921.652
    Bayesian info crit = -917.280
[[Variables]]
    c:   2.11071124 +/- 0.018790 (0.89%) (init= 1)

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