H12 / Angola An. coluzzii / Chromosome 2 / #6

This page describes a signal of selection found in the Angola An. coluzzii population using the H12 (Garud et al. 20XX) statistic.The focus of this signal is on chromosome arm 2R between positions 34,480,001 and 34,540,000. 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 10 genes overlap the focal region: AGAP003252 (CLIPB6 - CLIP-domain serine protease), AGAP013184 (CLIPB36 - CLIP-domain serine protease), AGAP003253 (Gr15 - gustatory receptor 15), AGAP003254 (Gr16 - gustatory receptor 16), AGAP003255 (Gr17 - gustatory receptor 17), AGAP003256 (Gr18 - gustatory receptor 18), AGAP0032571 (GSTU2 - glutathione S-transferase unclassified 2), AGAP003258 (Gustatory receptor), AGAP003259 (Gr20 - gustatory receptor 20), AGAP003260 (Gr21 - gustatory receptor 21).

The following 11 genes are within 50 kbp of the focal region: AGAP003245 (CLIPA19 - CLIP-domain serine protease), AGAP003246 (CLIPB2 - CLIP-domain serine protease), AGAP003247 (CLIPB19 - CLIP-domain serine protease), AGAP003248, AGAP013487, AGAP003249 (CLIPB3 - CLIP-domain serine protease), AGAP003250 (CLIPB4 - CLIP-domain serine protease), AGAP003251 (CLIPB1 - CLIP-domain serine protease), AGAP003261, AGAP003262 (integrator complex subunit 10), AGAP003263 (CDC42 small effector protein-like protein).

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   = 27
    # data points      = 199
    # variables        = 3
    chi-square         = 0.025
    reduced chi-square = 0.000
    Akaike info crit   = -1777.553
    Bayesian info crit = -1767.673
[[Variables]]
    amplitude:   0.07763714 +/- 0.004808 (6.19%) (init= 0.5)
    decay:       0.81772820 +/- 0.085183 (10.42%) (init= 0.5)
    c:           0.02084834 +/- 0.001052 (5.05%) (init= 0.03)
    cap:         1 (fixed)
[[Correlations]] (unreported correlations are <  0.100)
    C(amplitude, decay)          = -0.583
    C(decay, c)                  = -0.508

Right flank, peak model:

[[Model]]
    Model(exponential)
[[Fit Statistics]]
    # function evals   = 47
    # data points      = 197
    # variables        = 3
    chi-square         = 0.035
    reduced chi-square = 0.000
    Akaike info crit   = -1697.217
    Bayesian info crit = -1687.367
[[Variables]]
    amplitude:   0.02350933 +/- 0.003920 (16.68%) (init= 0.5)
    decay:       2.95317617 +/- 1.575570 (53.35%) (init= 0.5)
    c:           0.02501477 +/- 0.004211 (16.84%) (init= 0.03)
    cap:         1 (fixed)
[[Correlations]] (unreported correlations are <  0.100)
    C(decay, c)                  = -0.924
    C(amplitude, c)              = -0.561
    C(amplitude, decay)          =  0.289

Left flank, null model:

[[Model]]
    Model(constant)
[[Fit Statistics]]
    # function evals   = 6
    # data points      = 198
    # variables        = 1
    chi-square         = 0.066
    reduced chi-square = 0.000
    Akaike info crit   = -1584.311
    Bayesian info crit = -1581.023
[[Variables]]
    c:   0.02848625 +/- 0.001297 (4.55%) (init= 0.03)

Right flank, null model:

[[Model]]
    Model(constant)
[[Fit Statistics]]
    # function evals   = 6
    # data points      = 196
    # variables        = 1
    chi-square         = 0.039
    reduced chi-square = 0.000
    Akaike info crit   = -1669.465
    Bayesian info crit = -1666.186
[[Variables]]
    c:   0.03286989 +/- 0.001007 (3.06%) (init= 0.03)

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