Table 1. Top 20 genomic regions identified as selection candidates in MKK using the Fst statistic and clustering.

Chr	Start location	Stop location	Genes in region	Number of HighFst SNPs (empiricalp-value <0.001)	Max Fst within cluster	Max XP-EHH score within cluster
2	135036696	136726567	RAB3GAP1, ZRANB3, DARS, R3HDM1, TMEM163,YSK4, LCT, UBXN4, MCM6, MGAT5, CCNT2	123	0.382	12.202
2	78305622	78500655	-	33	0.311	3.805
12	56402204	56754137	PAN2, OBFC2B, SLC39A5, APOF, STAT2, CS,RNF41, IKZF4, SMARCC2	28	0.283	3.024
3	191929784	191990575	FGF12	13	0.272	5.222
5	115126388	115223035	ATG12, AP3S1	7	0.266	3.870
2	163048404	163152351	IFIH1, FAP	19	0.261	3.108
7	99053816	99436198	ZNF498, CYP3A4, CPSF4, CYP3A7, CYP3A43	17	0.260	3.290
1	12296232	12319994	VPS13D	4	0.253	3.060
22	49978502	50077531	-	4	0.244	3.732
5	32128179	32159329	GOLPH3	5	0.242	3.062
5	14747247	14750823	ANKH	4	0.237	6.800
14	36033703	36201722	RALGAPA1	4	0.221	3.517
2	136917330	136921703	-	2	0.218	8.549
1	198692364	198745866	PTPRC	2	0.212	3.138
2	137580234	137595545	-	4	0.209	4.871
12	111414527	111502280	CUX2	5	0.209	3.393
17	75423198	75431978	SEPT9	3	0.200	5.024
18	66714832	66724690	CCDC102B	4	0.200	5.704
1	74807337	74842787	TNNI3K	3	0.193	3.993
3	185752767	185805993	ETV5	3	0.192	4.569

1,232 SNPs with significant Fst scores (p_B<8.6E−6, p_E<0.001) were clustered into contiguous genomic regions of linkage disequilibrium. A cluster was defined as a collection of SNPs in a genomic region where each SNP had genotype R²≥0.25 with at least one other SNP in the cluster. Clusters containing a SNP with maximum XP-EHH score >3 were identified as being MKK associated. The 22 top clusters are ranked by the highest Fst value for a SNP pair in a cluster. The complete set of clusters identified by Fst is in Table S2.