This page describes a signal of selection found in the
Gabon An. gambiae populationusing the H12 (Garud et al. 20XX) statistic.The focus of this signal is on chromosome arm
3L between positions 35,059,316 and
35,139,316.
The evidence supporting this signal is
moderate ( >= 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.
The following 5 genes overlap the focal region: AGAP011917 (serine-type enodpeptidase), AGAP011918 (Serine-type enodpeptidase), AGAP011919 (eupolytin), AGAP011920 (eupolytin), AGAP011921.
The following 5 genes are within 50 kbp of the focal region: AGAP011916 (COEB6582 - carboxylesterase), AGAP011922 (Lipase maturation factor), AGAP011923, AGAP011924 (potassium channel subfamily K, invertebrate), AGAP011925 (Patatin-like phospholipase domain containing 5).
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 = 51
# data points = 393
# variables = 4
chi-square = 0.071
reduced chi-square = 0.000
Akaike info crit = -3378.137
Bayesian info crit = -3362.241
[[Variables]]
center: 0 (fixed)
amplitude: 0.08540069 +/- 0.010003 (11.71%) (init= 0.5)
decay: 0.15000002 +/- 0.015678 (10.45%) (init= 0.5)
skew: -0.30762520 +/- 0.168761 (54.86%) (init= 0)
baseline: 0.03082162 +/- 0.000711 (2.31%) (init= 0.03)
ceiling: 1 (fixed)
floor: 0 (fixed)
[[Correlations]] (unreported correlations are < 0.100)
C(amplitude, decay) = 0.699
C(decay, baseline) = 0.200
C(decay, skew) = -0.148
Null model:
[[Model]]
Model(constant)
[[Fit Statistics]]
# function evals = 9
# data points = 392
# variables = 1
chi-square = 0.090
reduced chi-square = 0.000
Akaike info crit = -3284.330
Bayesian info crit = -3280.358
[[Variables]]
c: 0.03225381 +/- 0.000765 (2.37%) (init= 0.03)