H12 / Burkina Faso An. coluzzii / Chromosome 2 / #4

This page describes a signal of selection found in the Burkina Faso An. coluzzii population using the H12 (Garud et al. 20XX) statistic.The focus of this signal is on chromosome arm 2R between positions 40,880,001 and 40,980,000. 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

The following 12 genes overlap the focal region: AGAP003639 (Prolylcarboxypeptidase), AGAP0036401 (SP8905), AGAP0036411 (SP8907), AGAP0036421 (SP8898), AGAP003643 (ubiquitin carboxyl-terminal hydrolase 34), AGAP003644 (mRpS11 - 28S ribosomal protein S11, mitochondrial), AGAP003645 (kelch-like protein 19), AGAP013307, AGAP003646, AGAP003647, AGAP003648 (DNA-directed RNA polymerase II subunit RPB2), AGAP003649.

The following 3 genes are within 50 kbp of the focal region: AGAP003638, AGAP003650 (translation initiation factor eIF-2B subunit alpha), AGAP003651 (Tyrosine-protein kinase Fes/Fps).

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

Overlapping signals

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

Signal Focus Score (Left | Right)
H12 / Burkina Faso An. gambiae / Chromosome 2 / #6 2R:40,820,001-41,000,000 359 (249 | 109)
H12 / Cameroon An. gambiae / Chromosome 2 / #3 2R:40,600,001-40,980,000 269 (195 | 74)

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   = 27
    # data points      = 150
    # variables        = 3
    chi-square         = 0.043
    reduced chi-square = 0.000
    Akaike info crit   = -1216.665
    Bayesian info crit = -1207.633
[[Variables]]
    amplitude:   0.20013693 +/- 0.011838 (5.92%) (init= 0.5)
    decay:       0.24787169 +/- 0.023501 (9.48%) (init= 0.5)
    c:           0.03218181 +/- 0.001533 (4.76%) (init= 0.03)
    cap:         1 (fixed)
[[Correlations]] (unreported correlations are <  0.100)
    C(amplitude, decay)          = -0.607
    C(decay, c)                  = -0.300

Right flank, peak model:

[[Model]]
    Model(exponential)
[[Fit Statistics]]
    # function evals   = 23
    # data points      = 147
    # variables        = 3
    chi-square         = 0.021
    reduced chi-square = 0.000
    Akaike info crit   = -1292.035
    Bayesian info crit = -1283.063
[[Variables]]
    amplitude:   0.17577468 +/- 0.010479 (5.96%) (init= 0.5)
    decay:       0.29058214 +/- 0.024174 (8.32%) (init= 0.5)
    c:           0.02458210 +/- 0.001123 (4.57%) (init= 0.03)
    cap:         1 (fixed)
[[Correlations]] (unreported correlations are <  0.100)
    C(amplitude, decay)          = -0.722
    C(decay, c)                  = -0.328

Left flank, null model:

[[Model]]
    Model(constant)
[[Fit Statistics]]
    # function evals   = 6
    # data points      = 149
    # variables        = 1
    chi-square         = 0.145
    reduced chi-square = 0.001
    Akaike info crit   = -1030.942
    Bayesian info crit = -1027.938
[[Variables]]
    c:   0.03995551 +/- 0.002567 (6.43%) (init= 0.03)

Right flank, null model:

[[Model]]
    Model(constant)
[[Fit Statistics]]
    # function evals   = 6
    # data points      = 146
    # variables        = 1
    chi-square         = 0.090
    reduced chi-square = 0.001
    Akaike info crit   = -1077.673
    Bayesian info crit = -1074.689
[[Variables]]
    c:   0.03171602 +/- 0.002058 (6.49%) (init= 0.03)

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