H12/BFM/X/2

This page describes a signal of selection found in the Burkina Faso An. coluzzii populationusing the H12 (Garud et al. 20XX) statistic.The focus of this signal is on chromosome arm X between positions 9,220,000 and 9,260,000. The evidence supporting this signal is strong (\Delta_{i} >= 100 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 AGAP000519 (diacylglycerol kinase (ATP dependent)) overlaps the focal region.

The following 2 genes are within 50 kbp of the focal region: AGAP000520, AGAP000521.

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

Overlapping selection signals

The following selection signals have a focus which overlaps with the focus of this signal.

Signal Statistic Population Focus Peak model \Delta_{i} Max. percentile Known locus
XPEHH/BFS.BFM/X/1 XPEHH Burkina Faso An. gambiae X:9,200,000-9,240,000 848 97.6% nan
XPEHH/BFS.GWA/X/2 XPEHH Burkina Faso An. gambiae X:9,200,000-9,240,000 744 99.5% nan
XPEHH/BFS.UGS/X/2 XPEHH Burkina Faso An. gambiae X:9,220,000-9,260,000 678 99.8% nan
H12/BFS/X/2 H12 Burkina Faso An. gambiae X:9,180,000-9,240,000 563 97.8% nan
IHS/BFS/X/1 IHS Burkina Faso An. gambiae X:9,160,000-9,680,000 515 99.7% nan
IHS/BFM/X/2 IHS Burkina Faso An. coluzzii X:9,040,000-9,300,000 394 97.4% nan
XPEHH/BFM.GWA/X/2 XPEHH Burkina Faso An. coluzzii X:9,200,000-9,240,000 186 71.7% nan

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_exponential_peak)
[[Fit Statistics]]
    # function evals   = 60
    # data points      = 399
    # variables        = 4
    chi-square         = 0.060
    reduced chi-square = 0.000
    Akaike info crit   = -3501.278
    Bayesian info crit = -3485.322
[[Variables]]
    center:      0 (fixed)
    amplitude:   0.13555236 +/- 0.009172 (6.77%) (init= 0.5)
    decay:       0.15000000 +/- 0.003929 (2.62%) (init= 0.5)
    skew:        0.26603964 +/- 0.096924 (36.43%) (init= 0)
    baseline:    0.02063486 +/- 0.000645 (3.12%) (init= 0.03)
    ceiling:     1 (fixed)
    floor:       0 (fixed)
[[Correlations]] (unreported correlations are <  0.100)
    C(amplitude, decay)          = -0.701
    C(decay, baseline)           = -0.198
    C(decay, skew)               = -0.128

Null model:

[[Model]]
    Model(constant)
[[Fit Statistics]]
    # function evals   = 9
    # data points      = 398
    # variables        = 1
    chi-square         = 0.104
    reduced chi-square = 0.000
    Akaike info crit   = -3279.890
    Bayesian info crit = -3275.904
[[Variables]]
    c:   0.02284119 +/- 0.000813 (3.56%) (init= 0.03)

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