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| Received: 1,470/8 Given: 1,578/18 |
New tool at Gedmatch >>> Rare SNP (minor alleles) Utility
Mutation shown in red
RSID Chr Position (B36) Genotype %Occurrence Gene Matching Origins rs1879471 10 73764671 cT 0.032265 DNAJB12 rs11887773 2 72976920 Ac 0.0643915 United Kingdom rs3741991 12 112130419 Ag 0.0700894 TPCN1 rs16985540 22 34572433 aG 0.108202 RBM9 rs6902820 6 27333702 cT 0.123683 rs2291384 6 159004273 cT 0.134235 TMEM181 Norway
Polandrs16902952 5 36373003 Ag 0.136811 rs4404704 5 36381354 Ag 0.155964 rs3825925 15 99262965 aG 0.177088 ALDH1A3 rs8176928 16 3646186 GG 0.18874 DNASE1 Cameroon rs16862584 2 175038739 cT 0.195787 CIR rs60549655 10 94824543 cT 0.201578 CYP26A1 Poland rs2188380 12 109870510 Ct 0.210379 rs6931127 6 27313306 Ag 0.252308 rs3782886 12 110594872 Ct 0.258047 ACAD10 East Asian rs671 12 110726149 Ag 0.258047 East Asian rs3093550 6 31658518 Ag 0.262009 rs1945209 11 55935479 Ag 0.262881 OR8U8 rs11573970 1 2485251 GG 0.277855 PANK4 rs4869647 5 36369672 Ag 0.351827 El Salvador
Mexico
New Mexico, USArs16870697 4 20886870 aG 0.364199 KCNIP4 East Asian rs1800574 12 119901247 cT 0.368324 HNF1A Bosnia and Herzegovina
Finland
Irelandrs12568372 1 162570029 Ct 0.424321 UCK2 Ireland
Mexicors1153279 21 29596265 Ct 0.439908 BACH1 Lithuania
New Jersey, USA
Swedenrs10946947 6 28014209 aG 0.462117
25 SNP matches
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Code:
RSID Chr Position (B36) Genotype %Occurrence Gene Matching Origins rs62635777 11 61474452 Ct 0.017696 BEST1 rs3097250 19 58480841 Ac 0.0864118 Norway rs35219727 2 204442294 Ag 0.0872448 rs3734707 6 44330696 Cg 0.132493 SLC35B2 East Asian rs41309132 5 176769191 cG 0.226916 United Kingdom rs1591668 15 77523537 gT 0.256598 KIAA1024 rs4150412 2 127764090 Ag 0.270601 ERCC3 German Jew rs13053471 22 49269979 cT 0.275289 United Kingdom rs11573970 1 2485251 GG 0.277855 PANK4 rs7730228 5 131094624 aC 0.27912 FNIP1 Denmark Dominican Republic Finland Poland Sweden United Kingdom rs34916193 6 36760107 Ag 0.302599 CDKN1A Caucasus France United Kingdom rs11195068 10 112038079 Ct 0.328169 Southeast Asia rs2290189 3 13652947 TT 0.357641 FBLN2 Finland Mexico Spain United Kingdom rs16911522 9 98560944 Ct 0.365946 Russia Southeast Asia rs2289650 9 98577990 cT 0.373201 ANKS6 Russia Southeast Asia rs17033405 4 104180109 Ct 0.374552 NHEDC1 Ashkenazi rs16919509 9 99179863 aC 0.376709 Russia United Kingdom rs12598154 16 65649980 cT 0.38876 CBFB Italy New Zealand Poland Southeast Asia United Kingdom rs6054 4 155709058 cT 0.397081 France Poland rs2306093 9 99173794 Ag 0.408383 Russia Sweden United Kingdom rs3803543 15 77550659 cT 0.415318 KIAA1024 rs16824757 2 206903319 Ct 0.433758 GPR1 Ashkenazi Lithuania Mexico rs1153279 21 29596265 Ct 0.439908 BACH1 Lithuania New Jersey, USA Sweden rs12554664 9 95051456 Ag 0.441335 FANCC Ashkenazi Colombia Finland Guatemala Puerto Rico United Kingdom rs17223975 5 141954254 cT 0.445337 FGF1 ![]()



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| Received: 10,158/47 Given: 10,000/1 |



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| Received: 19,756/81 Given: 5,912/35 |
Top 25 all have the United Kingdom in it..
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| Received: 39,291/122 Given: 18,885/0 |



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| Received: 10,205/107 Given: 10,750/162 |



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| Received: 2,927/395 Given: 1,401/616 |
What can one exactly infer about ones results?
Eurogenes EUtest V2 K15 Oracle-x ------------------ McDonald results
Spanish_Galicia 43.35% ------------------ Spain - 42.3%
North_Amerindian 14.83% -----------French - 19.9%
Spanish_Extremadura 8.70% --------Maya - 16.1%
Bantu_S.E. 8.62% ------------- Moroccan - 13.9%
Algerian 5.98% --------------------- Yoruba - 7.8%
Portuguese 4.68%
Orcadian 4.15%



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| Received: 1,470/8 Given: 1,578/18 |
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