2015
DOI: 10.1086/682949
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Reliable Detection of Loci Responsible for Local Adaptation: Inference of a Null Model through Trimming the Distribution ofFST

Abstract: Loci responsible for local adaptation are likely to have more genetic differentiation among populations than neutral loci. However, neutral loci can vary widely in their amount of genetic differentiation, even over the same geographic range. Unfortunately, the distribution of differentiation--as measured by an index such as F(ST)--depends on the details of the demographic history of the populations in question, even without spatially heterogeneous selection. Many methods designed to detect F(ST) outliers assum… Show more

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Cited by 433 publications
(515 citation statements)
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“…For both sample sets, the “mahalanobis” method was used to compute the p ‐values. At last, we used OutFLANK (Whitlock & Lotterhos, 2015), which identifies outliers by comparing differentiation at each locus against a trimmed null distribution of F ST values for loci that are deemed neutral. For sample set 1, OutFLANK was run with default parameters except that LeftTrimFraction = 0.4.…”
Section: Methodsmentioning
confidence: 99%
“…For both sample sets, the “mahalanobis” method was used to compute the p ‐values. At last, we used OutFLANK (Whitlock & Lotterhos, 2015), which identifies outliers by comparing differentiation at each locus against a trimmed null distribution of F ST values for loci that are deemed neutral. For sample set 1, OutFLANK was run with default parameters except that LeftTrimFraction = 0.4.…”
Section: Methodsmentioning
confidence: 99%
“…Testing was conducted with 20,000 iterations, prior odds of the neutral model of 100, and a type II false discovery rate of α = 0.05. Second, OutFLANK (Whitlock & Lotterhos, 2015) was used to identify candidate loci under selection. OutFLANK estimates the distribution of F ST values at neutral, or nearly neutral, loci by fitting the empirical data to a chi‐square distribution after trimming excessively high and low F ST values, as these loci may be under diversifying or balancing selection.…”
Section: Methodsmentioning
confidence: 99%
“…HWE tests were applied only to the loci with no missing genotypes, and we only analyzed populations with sample size ≥ 8. We tested the outlier loci using three programs: OutFLANK [43], LOSITAN [44] and BayeScan [45]. For LOSITAN and BayeScan, the default setup was used, and for OutFLANK, q-value was set to 0.05.…”
Section: Methodsmentioning
confidence: 99%