XPEHH/BFS.UGS/X/3

This page describes a signal of selection found in the Burkina Faso An. gambiae population when compared with the Uganda An. gambiae population using the XPEHH (Cite et al. 20XX) statistic.The focus of this signal is on chromosome arm X between positions 9,660,000 and 9,700,000. 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 3 genes overlap the focal region: AGAP000540 (proton-coupled amino acid transporter), AGAP000541 (RpS15a-1 - 40S ribosomal protein S15a), AGAP013055.

The following 6 genes are within 50 kbp of the focal region: AGAP012976, AGAP013521, AGAP000536 (PGRPS1 - peptidoglycan recognition protein (short)), AGAP000537 (TWDL8 - cuticular protein TWDL family (TWDL8)), AGAP000538 (TWDL9 - cuticular protein TWDL family (TWDL9)), AGAP000539.

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
IHS/BFS/X/1 IHS Burkina Faso An. gambiae X:9,160,000-9,680,000 515 99.7% nan
H12/BFS/X/3 H12 Burkina Faso An. gambiae X:9,660,000-9,760,000 267 91.6% nan
XPEHH/BFS.BFM/X/2 XPEHH Burkina Faso An. gambiae X:9,660,000-9,700,000 214 88.0% nan
XPEHH/BFS.GWA/X/3 XPEHH Burkina Faso An. gambiae X:9,660,000-9,700,000 97 91.2% 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   = 53
    # data points      = 371
    # variables        = 4
    chi-square         = 63.732
    reduced chi-square = 0.174
    Akaike info crit   = -645.521
    Bayesian info crit = -629.856
[[Variables]]
    center:      0 (fixed)
    amplitude:   2.49174250 +/- 0.203222 (8.16%) (init= 3)
    decay:       0.15000029 +/- 0.020544 (13.70%) (init= 0.5)
    skew:       -0.65958787 +/- 0.141565 (21.46%) (init= 0)
    baseline:    0.89221553 +/- 0.023389 (2.62%) (init= 1)
    ceiling:     100 (fixed)
    floor:       0 (fixed)
[[Correlations]] (unreported correlations are <  0.100)
    C(amplitude, decay)          = -0.648
    C(decay, skew)               =  0.327
    C(decay, baseline)           = -0.242

Null model:

[[Model]]
    Model(constant)
[[Fit Statistics]]
    # function evals   = 7
    # data points      = 370
    # variables        = 1
    chi-square         = 105.518
    reduced chi-square = 0.286
    Akaike info crit   = -462.210
    Bayesian info crit = -458.297
[[Variables]]
    c:   0.99817866 +/- 0.027800 (2.79%) (init= 1)

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