This page describes a signal of selection found in the
Uganda An. gambiae population
when compared with the Burkina Faso An. gambiae population
using the XPEHH (Cite et al. 20XX) statistic.The focus of this signal is on chromosome arm
3R between positions 6,360,000 and
6,400,000.
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.
The following 13 genes overlap the focal region: AGAP008169, AGAP008170, AGAP028664, AGAP028663, AGAP028692, AGAP028691, AGAP008173, AGAP013765, AGAP008174, AGAP008175, AGAP008176 (dipeptidyl-peptidase 4), AGAP008177, AGAP028550.
The following 9 genes are within 50 kbp of the focal region: AGAP013774, AGAP008168, AGAP008178, AGAP008179 (SCRBQ3 - Class B Scavenger Receptor (CD36 domain).), AGAP008180, AGAP008181 (protein SMG5), AGAP0081823, AGAP008183 (CLIPD2 - CLIP-domain serine protease), AGAP008184 (phospholipid-translocating ATPase).
Key to insecticide resistance candidate gene types: 1 metabolic; 2 target-site; 3 behavioural; 4 cuticular.
The following selection signals have a focus which overlaps with the focus of this signal.
Signal | Statistic | Population | Focus | Peak model ![]() |
Max. percentile | Known locus |
---|---|---|---|---|---|---|
XPEHH/GWA.BFS/3/2 | XPEHH | Guinea Bissau | 3R:6,320,000-6,360,000 | 295 | 99.9% | nan |
XPEHH/UGS.CMS/3/3 | XPEHH | Uganda An. gambiae | 3R:6,360,000-6,400,000 | 201 | 99.9% | nan |
XPEHH/UGS.GWA/3/2 | XPEHH | Uganda An. gambiae | 3R:6,360,000-6,400,000 | 120 | 99.3% | nan |
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 = 82
# data points = 559
# variables = 4
chi-square = 158.883
reduced chi-square = 0.286
Akaike info crit = -695.211
Bayesian info crit = -677.907
[[Variables]]
center: 0 (fixed)
amplitude: 4.16680483 +/- 0.247838 (5.95%) (init= 3)
decay: 0.15000000 +/- 0.017940 (11.96%) (init= 0.5)
skew: 0.14781293 +/- 0.114111 (77.20%) (init= 0)
baseline: 1.11683764 +/- 0.023656 (2.12%) (init= 1)
ceiling: 100 (fixed)
floor: 0 (fixed)
[[Correlations]] (unreported correlations are < 0.100)
C(amplitude, decay) = 0.642
C(decay, baseline) = 0.206
C(decay, skew) = 0.140
Null model:
[[Model]]
Model(constant)
[[Fit Statistics]]
# function evals = 9
# data points = 558
# variables = 1
chi-square = 204.472
reduced chi-square = 0.367
Akaike info crit = -558.193
Bayesian info crit = -553.868
[[Variables]]
c: 1.20632212 +/- 0.025648 (2.13%) (init= 1)