H12 / Burkina Faso An. gambiae / Chromosome 3 / #4

This page describes a signal of selection found in the Burkina Faso An. gambiae population using the H12 (Garud et al. 20XX) statistic.The focus of this signal is on chromosome arm 3R between positions 31,760,001 and 31,800,000. The evidence supporting this signal is weak (\Delta_{i} < 50 on one or 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 16 genes overlap the focal region: AGAP009359, AGAP029068, AGAP013734, AGAP029063, AGAP013756, AGAP029094, AGAP009360, AGAP028158, AGAP013714, AGAP029089, AGAP013731, AGAP009361, AGAP028039, AGAP009362, AGAP0093631 (CYP9M1 - cytochrome P450), AGAP009364.

The following 27 genes are within 50 kbp of the focal region: AGAP029071, AGAP029072, AGAP013718, AGAP009352, AGAP009353, AGAP009354, AGAP009355, AGAP029090, AGAP028222, AGAP009356, AGAP009357, AGAP029081, AGAP009358, AGAP029076, AGAP029075, AGAP013776, AGAP009365 (cellular retinaldehyde binding protein), AGAP009366, AGAP009367, AGAP009368 (plugin - plugin), AGAP009369, AGAP009370 (Acp34A-2), AGAP009371, AGAP009372, AGAP009373, AGAP0093741 (CYP9M1 - cytochrome P450), AGAP0093751 (CYP9M2 - cytochrome P450).

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

Left flank, peak model:

[[Model]]
    Model(exponential)
[[Fit Statistics]]
    # function evals   = 39
    # data points      = 129
    # variables        = 3
    chi-square         = 0.010
    reduced chi-square = 0.000
    Akaike info crit   = -1214.417
    Bayesian info crit = -1205.837
[[Variables]]
    amplitude:   0.02677610 +/- 0.005288 (19.75%) (init= 0.5)
    decay:       0.37359485 +/- 0.121136 (32.42%) (init= 0.5)
    c:           0.02130454 +/- 0.000928 (4.35%) (init= 0.03)
    cap:         1 (fixed)
[[Correlations]] (unreported correlations are <  0.100)
    C(amplitude, decay)          = -0.598
    C(decay, c)                  = -0.403

Right flank, peak model:

[[Model]]
    Model(exponential)
[[Fit Statistics]]
    # function evals   = 35
    # data points      = 128
    # variables        = 3
    chi-square         = 0.004
    reduced chi-square = 0.000
    Akaike info crit   = -1310.393
    Bayesian info crit = -1301.837
[[Variables]]
    amplitude:   0.02883969 +/- 0.003178 (11.02%) (init= 0.5)
    decay:       0.72766011 +/- 0.141689 (19.47%) (init= 0.5)
    c:           0.01668192 +/- 0.000686 (4.11%) (init= 0.03)
    cap:         1 (fixed)
[[Correlations]] (unreported correlations are <  0.100)
    C(amplitude, decay)          = -0.657
    C(decay, c)                  = -0.505

Left flank, null model:

[[Model]]
    Model(constant)
[[Fit Statistics]]
    # function evals   = 6
    # data points      = 128
    # variables        = 1
    chi-square         = 0.012
    reduced chi-square = 0.000
    Akaike info crit   = -1187.001
    Bayesian info crit = -1184.149
[[Variables]]
    c:   0.02304012 +/- 0.000853 (3.70%) (init= 0.03)

Right flank, null model:

[[Model]]
    Model(constant)
[[Fit Statistics]]
    # function evals   = 6
    # data points      = 127
    # variables        = 1
    chi-square         = 0.007
    reduced chi-square = 0.000
    Akaike info crit   = -1242.313
    Bayesian info crit = -1239.469
[[Variables]]
    c:   0.01964063 +/- 0.000664 (3.38%) (init= 0.03)

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