TreeWAS – [S50] Superficial injury of forearm

Variant effects

Click on a variant to see its association results.

Download this figure in format

Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.972	0.028	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.960	0.040	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.952	0.048	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.937	0.063	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.931	0.069	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.920	0.080	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.909	0.091	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.907	0.093	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.906	0.094	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.905	0.095	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.905	0.095	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.904	0.096	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.891	0.109	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.888	0.112	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.877	0.123	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.875	0.125	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.873	0.127	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.872	0.128	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.869	0.131	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.862	0.138	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.862	0.138	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.857	0.143	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.856	0.144	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.855	0.145	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.854	0.146	0.000
rs11217762 lBF = `6.40084` Chr`11` : `120,071,508`	0.854	0.146	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.852	0.148	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.851	0.149	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.850	0.150	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.850	0.150	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.850	0.150	0.000
rs116161699 lBF = `8.96181` Chr`6` : `66,726,604`	0.846	0.154	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.845	0.154	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.845	0.155	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.840	0.160	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.839	0.161	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.838	0.162	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.838	0.162	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.837	0.163	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.837	0.163	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.837	0.163	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.835	0.165	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.835	0.165	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.834	0.166	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.832	0.167	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.832	0.168	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.832	0.168	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.832	0.168	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.832	0.168	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.831	0.169	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.831	0.169	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.831	0.169	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.830	0.170	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.830	0.170	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.829	0.171	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.829	0.171	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.827	0.173	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.826	0.174	0.000
rs12222221 lBF = `8.0928` Chr`11` : `49,488,707`	0.826	0.174	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.825	0.175	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.825	0.175	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.824	0.176	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.821	0.179	0.000
rs1936801 lBF = `8.69095` Chr`6` : `127,436,313`	0.821	0.179	0.000
rs2893857 lBF = `5.42702` Chr`6` : `26,474,061`	0.817	0.183	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.817	0.183	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.817	0.183	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.816	0.184	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.815	0.185	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.815	0.185	0.000
rs11580861 lBF = `2.70782` Chr`1` : `194,995,131`	0.815	0.185	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.814	0.186	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.813	0.187	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.813	0.187	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.811	0.189	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.811	0.189	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.810	0.190	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.809	0.191	0.000
rs11678166 lBF = `11.2921` Chr`2` : `61,157,720`	0.808	0.192	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.807	0.192	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.806	0.194	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.806	0.194	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.805	0.195	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.804	0.196	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.803	0.197	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.803	0.197	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.800	0.200	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.799	0.201	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.798	0.201	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.798	0.202	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.798	0.202	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.797	0.203	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.796	0.204	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.795	0.205	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.795	0.205	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.794	0.206	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.794	0.206	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.793	0.207	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.793	0.207	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.793	0.207	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.792	0.208	0.000
rs17071124 lBF = `2.01665` Chr`6` : `142,033,726`	0.791	0.208	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.790	0.210	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.790	0.210	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.789	0.211	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.788	0.212	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.788	0.212	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.788	0.212	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.787	0.213	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.786	0.214	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.786	0.214	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.786	0.214	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.786	0.214	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.786	0.214	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.785	0.214	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.785	0.215	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.785	0.215	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.784	0.215	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.784	0.216	0.000
rs2826762 lBF = `7.61206` Chr`21` : `22,649,414`	0.784	0.216	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.784	0.216	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.783	0.217	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.783	0.217	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.782	0.217	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.782	0.218	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.781	0.219	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.781	0.219	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.781	0.219	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.780	0.219	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.780	0.220	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.779	0.221	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.778	0.221	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.778	0.222	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.778	0.222	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.778	0.222	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.777	0.223	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.777	0.223	0.000
rs12328732 lBF = `9.34731` Chr`2` : `54,724,992`	0.776	0.224	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.776	0.224	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.776	0.224	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.775	0.225	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.775	0.225	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.775	0.225	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.772	0.228	0.000
rs2791545 lBF = `12.1553` Chr`1` : `219,662,035`	0.772	0.228	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.228	0.772
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.771	0.229	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.769	0.231	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.769	0.231	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.769	0.231	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.769	0.231	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.769	0.231	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.769	0.231	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.768	0.232	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.768	0.232	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.767	0.233	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.767	0.233	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.767	0.233	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.767	0.233	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.766	0.234	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.766	0.234	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.766	0.234	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.765	0.235	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.764	0.236	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.763	0.237	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.763	0.237	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.762	0.238	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.762	0.238	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.762	0.238	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.762	0.238	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.761	0.239	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.761	0.239	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.761	0.239	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.760	0.240	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.760	0.240	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.759	0.241	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.759	0.241	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.759	0.241	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.758	0.242	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.758	0.242	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.757	0.243	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.757	0.243	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.757	0.243	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.757	0.243	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.756	0.244	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.756	0.244	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.755	0.245	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.755	0.245	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.754	0.246	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.754	0.246	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.754	0.246	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.754	0.246	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.754	0.246	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.753	0.247	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.753	0.247	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.753	0.247	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.753	0.247	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.752	0.248	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.752	0.248	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.752	0.248	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.752	0.248	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.751	0.249	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.750	0.250	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.749	0.250	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.749	0.251	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.749	0.251	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.749	0.251	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.749	0.251	0.000
rs205000 lBF = `21.2147` Chr`6` : `32,135,878`	0.749	0.251	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.748	0.252	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.748	0.252	0.000
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.747	0.252	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.747	0.253	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.747	0.253	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.747	0.253	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.746	0.254	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.746	0.254	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.746	0.254	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.745	0.255	0.000
rs77803816 lBF = `19.635` Chr`6` : `31,431,063`	0.745	0.255	0.000
rs11557308 lBF = `22.8654` Chr`6` : `31,431,403`	0.744	0.255	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.744	0.256	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.744	0.256	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.744	0.256	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.744	0.256	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.743	0.257	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.743	0.257	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.743	0.257	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.743	0.257	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.743	0.257	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.742	0.258	0.000
rs2823779 lBF = `1.55455` Chr`21` : `17,768,524`	0.742	0.258	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.741	0.258	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.741	0.259	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.741	0.259	0.000
rs114694170 lBF = `1.13651` Chr`5` : `88,180,196`	0.740	0.260	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.740	0.260	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.740	0.260	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.739	0.261	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.739	0.261	0.000
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.739	0.261	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.738	0.262	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.738	0.262	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.738	0.262	0.000
rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.737	0.263	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.737	0.263	0.000
rs62414823 lBF = `7.58322` Chr`6` : `115,891,711`	0.737	0.263	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.737	0.263	0.000
rs16877106 lBF = `2.21521` Chr`4` : `25,403,266`	0.737	0.263	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.736	0.264	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.736	0.264	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.736	0.264	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.735	0.265	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.735	0.265	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.734	0.265	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.734	0.265	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.733	0.267	0.000
rs2745353 lBF = `6.81799` Chr`6` : `127,452,935`	0.732	0.268	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.732	0.268	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.731	0.268	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.731	0.269	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.731	0.269	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.731	0.269	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.731	0.269	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.731	0.269	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.730	0.269	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.730	0.270	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.730	0.270	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.729	0.271	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.729	0.271	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.729	0.271	0.000
rs9491696 lBF = `9.01264` Chr`6` : `127,452,639`	0.000	0.271	0.729
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.729	0.271	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.729	0.271	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.728	0.272	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.728	0.272	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.727	0.273	0.000
rs9267822 lBF = `25.4656` Chr`6` : `32,170,407`	0.727	0.273	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.727	0.273	0.000
rs116527709 lBF = `14.7969` Chr`1` : `87,398,673`	0.726	0.274	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.726	0.274	0.000
rs9267796 lBF = `16.2604` Chr`6` : `32,023,425`	0.726	0.274	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.726	0.274	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.725	0.274	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.725	0.274	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.725	0.275	0.000
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.725	0.275	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.725	0.275	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.725	0.275	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.275	0.725
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.724	0.276	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.724	0.276	0.000
rs9267532 lBF = `5.4348` Chr`6` : `31,639,979`	0.724	0.276	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.724	0.276	0.000
rs17476187 lBF = `6.70522` Chr`1` : `104,669,154`	0.723	0.277	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.723	0.277	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.723	0.277	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.723	0.277	0.000
rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.723	0.277	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.722	0.278	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.722	0.278	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.722	0.278	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.722	0.278	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.722	0.278	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.722	0.278	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.722	0.278	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.721	0.279	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.721	0.279	0.000
rs12143060 lBF = `7.38686` Chr`1` : `156,740,026`	0.721	0.279	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.721	0.279	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.721	0.279	0.000
rs73002470 lBF = `12.3392` Chr`6` : `149,403,297`	0.720	0.279	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.720	0.280	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.719	0.280	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.719	0.280	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.719	0.281	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.719	0.281	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.718	0.282	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.718	0.282	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.718	0.282	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.717	0.283	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.717	0.283	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.716	0.284	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.716	0.284	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.715	0.285	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.715	0.285	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.715	0.285	0.000
rs113934085 lBF = `13.4975` Chr`3` : `151,627,433`	0.715	0.285	0.000
rs79346880 lBF = `6.46358` Chr`4` : `28,619,720`	0.715	0.285	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.714	0.286	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.714	0.286	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.714	0.286	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.713	0.287	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.713	0.287	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.712	0.288	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.712	0.288	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.712	0.288	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.712	0.288	0.000
rs62392365 lBF = `46.9408` Chr`6` : `25,371,369`	0.711	0.289	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.711	0.289	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.711	0.289	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.711	0.289	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.711	0.289	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.710	0.290	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.710	0.290	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.710	0.290	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.710	0.290	0.000
rs77622929 lBF = `6.08434` Chr`11` : `50,634,946`	0.709	0.291	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.709	0.291	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.708	0.291	0.000
rs74691586 lBF = `9.21408` Chr`1` : `161,245,487`	0.708	0.292	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.708	0.292	0.000
rs57740770 lBF = `14.7225` Chr`6` : `32,067,435`	0.708	0.292	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.708	0.292	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.708	0.292	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.708	0.292	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.707	0.293	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.707	0.293	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.707	0.293	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.707	0.293	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.707	0.293	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.707	0.293	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.707	0.293	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.705	0.293	0.001
rs1603753 lBF = `5.92283` Chr`11` : `51,306,953`	0.706	0.294	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.706	0.294	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.706	0.294	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.706	0.294	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.706	0.294	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.706	0.294	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.706	0.294	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.705	0.295	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.705	0.295	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.705	0.295	0.000
rs3117761 lBF = `17.5062` Chr`1` : `177,722,715`	0.704	0.296	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.704	0.296	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.704	0.296	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.704	0.296	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.703	0.297	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.703	0.297	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.703	0.297	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.703	0.297	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.703	0.297	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.702	0.297	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.702	0.298	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.702	0.298	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.298	0.702
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.702	0.298	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.701	0.299	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.701	0.299	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.701	0.299	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.701	0.299	0.000
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.700	0.300	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.700	0.300	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.700	0.300	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.700	0.300	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.700	0.300	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.700	0.300	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.700	0.300	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.700	0.300	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.700	0.300	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.699	0.301	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.699	0.301	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.699	0.301	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.698	0.302	0.000
rs2503322 lBF = `7.40397` Chr`6` : `127,457,260`	0.000	0.302	0.698
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.698	0.302	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.698	0.302	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.698	0.302	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.697	0.303	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.697	0.303	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.697	0.303	0.000
rs4148876 lBF = `32.3961` Chr`6` : `32,796,793`	0.697	0.303	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.697	0.303	0.000
rs76419373 lBF = `6.94732` Chr`2` : `105,078,508`	0.696	0.304	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.696	0.304	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.696	0.304	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.696	0.304	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.696	0.304	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.696	0.304	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.696	0.304	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.695	0.304	0.000
rs17545824 lBF = `6.53432` Chr`5` : `110,877,600`	0.695	0.305	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.695	0.305	0.000
rs7729458 lBF = `5.89518` Chr`5` : `2,799,100`	0.695	0.305	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.695	0.305	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.694	0.305	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.694	0.305	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.694	0.306	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.693	0.306	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.693	0.306	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.693	0.307	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.693	0.307	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.693	0.307	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.693	0.307	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.693	0.307	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.693	0.307	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.693	0.307	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.693	0.307	0.000
rs78165376 lBF = `8.53544` Chr`3` : `177,552,699`	0.693	0.307	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.692	0.308	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.692	0.308	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.691	0.308	0.000
rs76174256 lBF = `5.31188` Chr`3` : `156,862,898`	0.691	0.308	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.691	0.309	0.000
rs11579060 lBF = `5.78074` Chr`1` : `160,606,092`	0.691	0.309	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.691	0.309	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.691	0.309	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.691	0.309	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.690	0.310	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.689	0.311	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.689	0.311	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.689	0.311	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.688	0.312	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.688	0.312	0.000
rs6799705 lBF = `3.95758` Chr`3` : `35,982,130`	0.688	0.312	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.688	0.312	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.688	0.312	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.687	0.313	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.687	0.313	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.687	0.313	0.000
rs2764209 lBF = `4.24881` Chr`6` : `34,697,114`	0.687	0.313	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.687	0.313	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.686	0.314	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.686	0.314	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.686	0.314	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.686	0.314	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.686	0.314	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.686	0.314	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.686	0.314	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.686	0.314	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.686	0.314	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.685	0.314	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.685	0.315	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.685	0.315	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.685	0.315	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.684	0.316	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.684	0.316	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.684	0.316	0.000
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.683	0.317	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.682	0.317	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.682	0.318	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.682	0.318	0.000
rs115360810 lBF = `28.1258` Chr`6` : `32,796,310`	0.682	0.318	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.682	0.318	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.681	0.318	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.681	0.319	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.681	0.319	0.000
rs114925849 lBF = `15.4352` Chr`5` : `108,554,590`	0.681	0.319	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.680	0.320	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.680	0.320	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.680	0.320	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.679	0.321	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.679	0.321	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.679	0.321	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.678	0.321	0.000
rs9266340 lBF = `17.9247` Chr`6` : `31,331,306`	0.678	0.321	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.678	0.322	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.678	0.322	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.678	0.322	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2999

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1201

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

1.0000

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9998

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9996

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9996

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9995

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9987

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9982

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9979

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9977

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9972

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9954

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9954

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9936

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9924

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9922

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9915

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9914

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9893

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9866

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9853

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9842

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9840

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9837

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9822

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9819

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9795

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9795

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9785

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9763

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9753

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9727

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9722

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9707

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9702

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9700

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9693

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9641

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9641

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9641

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9634

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.9633

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.9626

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9606

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9568

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9566

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9551

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9547

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9543

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9520

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9498

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9495

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9483

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9472

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9446

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9443

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9433

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9425

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9374

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9328

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9326

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9296

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9290

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9280

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9279

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9255

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9250

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9225

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9222

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9212

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9205

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9161

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9080

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9056

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9038

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9030

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8977

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8954

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8927

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8860

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8856

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8835

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8826

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8779

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8778

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8774

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8733

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8730

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8730

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8729

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8708

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8674

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8644

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8640

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.8557

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8479

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8472

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8454

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8412

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8377

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8371

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8370

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8356

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8334

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8321

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8317

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8296

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.8286

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8240

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8240

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8227

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8222

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8206

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8113

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8108

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8060

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8058

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8021

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7968

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7960

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7950

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7932

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7886

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7864

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7823

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7812

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7780

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7775

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7765

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.7764

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7754

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7753

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7716

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7585

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7506

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7502

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7481

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7426

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7384

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7378

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7368

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7359

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7222

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7168

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7143

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6997

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6981

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6948

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6943

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6872

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6835

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.6808

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6693

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6648

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6647

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6636

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6590

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6544

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6536

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6530

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6522

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6495

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6450

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6444

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6381

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6351

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6257

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6232

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6226

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6182

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6168

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6157

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6113

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6062

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5991

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5894

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5720

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5709

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5706

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5665

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5657

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5525

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5304

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5058

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5056

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4935

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4915

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4889

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4773

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4659

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4589

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4532

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4353

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4349

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4275

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4271

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4259

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4206

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3813

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.3812

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3789

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3504

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.3439

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3417

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.3268

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3202

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3124

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3099

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2760

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2607

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2384

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1724

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1362

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0899

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0851

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0779

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0693

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0627

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Parent term	S50-S59 Injuries to the elbow and forearm
Nested terms	S50.0 Contusion of elbow S50.1 Contusion of other and unspecified parts of forearm S50.7 Multiple superficial injuries of forearm S50.8 Other superficial injuries of forearm S50.9 Superficial injury of forearm, unspecified

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)