This page describes a signal of selection found in the
Cameroon An. gambiae populationusing the IHS (Cite et al. 20XX) statistic.The focus of this signal is on chromosome arm
2R between positions 19,100,000 and
19,180,000.
The evidence supporting this signal is
strong ( >= 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.
Gene AGAP002310 (protocadherin-15) overlaps the focal region.
The following 9 genes are within 50 kbp of the focal region: AGAP002303, AGAP002305 (pre-mRNA-splicing factor), AGAP002306 (RpL4 - 60S ribosomal protein L4), AGAP002307 (pre-mRNA-splicing factor 18), AGAP0023081 (Pyrroline-5-carboxylate reductase), AGAP002309 (WDY - WD repeat-containing protein on Y chromosome), AGAP002312, AGAP002313, AGAP002314.
Key to insecticide resistance candidate gene types: 1 metabolic; 2 target-site; 3 behavioural; 4 cuticular.
The information below provides some diagnostics from the Peak modelling algorithm.
Selection signal in context. @@TODO
Peak targetting. @@TODO
Peak fitting diagnostics. @@TODO
Peak model:
[[Model]]
Model(skewed_exponential_peak)
[[Fit Statistics]]
# function evals = 65
# data points = 682
# variables = 4
chi-square = 64.681
reduced chi-square = 0.095
Akaike info crit = -1598.496
Bayesian info crit = -1580.396
[[Variables]]
center: 0 (fixed)
amplitude: 1.19554641 +/- 0.064869 (5.43%) (init= 3)
decay: 0.73730147 +/- 0.078624 (10.66%) (init= 0.5)
skew: -0.99999996 +/- 0.351560 (35.16%) (init= 0)
baseline: 1.53193266 +/- 0.016005 (1.04%) (init= 1)
ceiling: 100 (fixed)
floor: 0 (fixed)
[[Correlations]] (unreported correlations are < 0.100)
C(amplitude, decay) = -0.488
C(decay, baseline) = -0.484
C(decay, skew) = -0.463
Null model:
[[Model]]
Model(constant)
[[Fit Statistics]]
# function evals = 11
# data points = 681
# variables = 1
chi-square = 106.922
reduced chi-square = 0.157
Akaike info crit = -1258.844
Bayesian info crit = -1254.320
[[Variables]]
c: 1.67099349 +/- 0.015195 (0.91%) (init= 1)