H12/BFM/2/5

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 2R between positions 24,860,000 and 24,900,000. 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

The following 12 genes overlap the focal region: AGAP013517, AGAP013086, AGAP013456, AGAP013225, AGAP013322, AGAP013353, AGAP013110, AGAP013484, AGAP013247, AGAP013316, AGAP002641, AGAP002642 (DNA mismatch repair protein MSH5).

The following 12 genes are within 50 kbp of the focal region: AGAP0026353 (Gr13 - gustatory receptor 13), AGAP002636, AGAP002637, AGAP013045, AGAP002638 (ABCH1 - ATP-binding cassette transporter (ABC transporter) family H member 1), AGAP0026393 (Or39 - odorant receptor 39), AGAP0026403 (Or38 - odorant receptor 38), AGAP002643, AGAP002644 (phospholipid-translocating ATPase), AGAP002645 (septin 2), AGAP013264, AGAP013050.

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/BFM.BFS/2/2 XPEHH Burkina Faso An. coluzzii 2R:24,820,000-24,900,000 360 99.8% nan
XPEHH/BFM.AOM/2/1 XPEHH Burkina Faso An. coluzzii 2R:24,840,000-24,880,000 109 99.3% 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   = 48
    # data points      = 400
    # variables        = 4
    chi-square         = 0.286
    reduced chi-square = 0.001
    Akaike info crit   = -2889.724
    Bayesian info crit = -2873.758
[[Variables]]
    center:      0 (fixed)
    amplitude:   0.30324670 +/- 0.017947 (5.92%) (init= 0.5)
    decay:       0.15000000 +/- 0.008846 (5.90%) (init= 0.5)
    skew:        1          +/- 0.028480 (2.85%) (init= 0)
    baseline:    0.04635079 +/- 0.001411 (3.04%) (init= 0.03)
    ceiling:     1 (fixed)
    floor:       0 (fixed)
[[Correlations]] (unreported correlations are <  0.100)
    C(amplitude, decay)          =  0.630
    C(decay, skew)               =  0.460
    C(decay, baseline)           =  0.198

Null model:

[[Model]]
    Model(constant)
[[Fit Statistics]]
    # function evals   = 11
    # data points      = 399
    # variables        = 1
    chi-square         = 0.556
    reduced chi-square = 0.001
    Akaike info crit   = -2621.864
    Bayesian info crit = -2617.875
[[Variables]]
    c:   0.05251489 +/- 0.001871 (3.56%) (init= 0.03)

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