TreeWAS – [S82.6] Fracture of lateral malleolus

Variant effects

Click on a variant to see its association results.

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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
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.968	0.032	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.957	0.043	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.955	0.045	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.948	0.052	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.944	0.056	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.944	0.056	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.926	0.074	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.922	0.078	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.921	0.079	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.921	0.079	0.000
rs2908007 lBF = `30.0281` Chr`7` : `120,962,164`	0.000	0.080	0.920
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.911	0.089	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.908	0.092	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.890	0.110	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.888	0.112	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.885	0.115	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.883	0.117	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.879	0.121	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.879	0.121	0.000
rs12526186 lBF = `58.9659` Chr`6` : `30,736,151`	0.866	0.134	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.866	0.134	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.861	0.139	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.860	0.140	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.857	0.143	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.854	0.146	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.849	0.151	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.848	0.152	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.847	0.153	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.845	0.155	0.000
rs72851111 lBF = `23.6522` Chr`6` : `31,414,673`	0.845	0.155	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.844	0.156	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.842	0.158	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.841	0.159	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.840	0.160	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.838	0.162	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.836	0.164	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.834	0.166	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.832	0.167	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.832	0.168	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.829	0.171	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.828	0.172	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.826	0.174	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.826	0.174	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.823	0.177	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.823	0.177	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.820	0.179	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.819	0.181	0.000
rs72882965 lBF = `23.0387` Chr`6` : `31,353,285`	0.818	0.182	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.817	0.183	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.815	0.185	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.814	0.186	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.810	0.190	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.809	0.191	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.809	0.191	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.808	0.192	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.805	0.195	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.804	0.196	0.000
rs72985562 lBF = `1.17824` Chr`11` : `102,800,278`	0.803	0.197	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.802	0.198	0.000
rs72847395 lBF = `22.7489` Chr`6` : `31,388,555`	0.800	0.200	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.800	0.200	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.799	0.201	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.799	0.201	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.799	0.201	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.794	0.206	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.791	0.209	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.789	0.211	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.788	0.212	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.787	0.213	0.000
rs72878039 lBF = `23.7565` Chr`6` : `31,340,795`	0.787	0.213	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.787	0.213	0.000
rs12660883 lBF = `58.8029` Chr`6` : `30,764,420`	0.784	0.216	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.782	0.218	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.782	0.218	0.000
rs28780111 lBF = `56.9985` Chr`6` : `30,720,311`	0.781	0.219	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.779	0.221	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.776	0.224	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.776	0.224	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.776	0.224	0.000
rs12207186 lBF = `0.836971` Chr`6` : `162,314,921`	0.775	0.225	0.000
rs116527709 lBF = `14.7969` Chr`1` : `87,398,673`	0.774	0.226	0.000
rs68085422 lBF = `22.2032` Chr`6` : `31,327,326`	0.774	0.226	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.772	0.228	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.772	0.228	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.771	0.229	0.000
rs114783056 lBF = `22.655` Chr`6` : `31,327,265`	0.771	0.229	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.769	0.231	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.769	0.231	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.768	0.232	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.768	0.232	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.767	0.233	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.767	0.233	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.767	0.233	0.000
rs72502573 lBF = `20.8514` Chr`6` : `31,327,446`	0.765	0.235	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.765	0.235	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.764	0.236	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.764	0.236	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.763	0.237	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.763	0.237	0.000
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.761	0.239	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.757	0.243	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.755	0.245	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.755	0.245	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.755	0.245	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.754	0.246	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.752	0.248	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.752	0.248	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.751	0.249	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.751	0.249	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.748	0.252	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.747	0.253	0.000
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.745	0.255	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.744	0.256	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.742	0.258	0.000
rs76151409 lBF = `20.9106` Chr`6` : `31,407,653`	0.742	0.258	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.741	0.259	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.741	0.259	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.739	0.261	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.739	0.261	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.739	0.261	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.738	0.262	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.738	0.262	0.000
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.738	0.262	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.736	0.264	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.736	0.264	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.735	0.265	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.732	0.267	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.732	0.267	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.732	0.268	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.732	0.268	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.732	0.268	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.731	0.269	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.731	0.269	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.730	0.269	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.730	0.270	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.729	0.271	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.729	0.271	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.729	0.271	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.729	0.271	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.728	0.272	0.000
rs111561475 lBF = `1.31769` Chr`11` : `21,956,958`	0.725	0.275	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.723	0.276	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.723	0.277	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.723	0.277	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.721	0.279	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.719	0.281	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.719	0.281	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.719	0.281	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.718	0.282	0.000
rs74765593 lBF = `18.3408` Chr`3` : `182,339,787`	0.718	0.282	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.718	0.282	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.717	0.282	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.716	0.283	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.715	0.285	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.715	0.285	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.711	0.289	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.711	0.289	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.711	0.289	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.711	0.289	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.711	0.289	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.709	0.291	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.708	0.292	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.707	0.292	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.707	0.293	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.706	0.294	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.706	0.294	0.000
rs78691034 lBF = `9.15803` Chr`3` : `47,911,121`	0.706	0.294	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.706	0.294	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.706	0.294	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.705	0.295	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.705	0.295	0.000
rs74703823 lBF = `12.1497` Chr`3` : `3,162,708`	0.704	0.296	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.704	0.296	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.703	0.297	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.703	0.297	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.703	0.297	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.702	0.298	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.702	0.298	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.701	0.299	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.701	0.299	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.701	0.299	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.700	0.300	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.700	0.300	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.696	0.304	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.304	0.695
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.694	0.306	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.694	0.306	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.693	0.307	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.692	0.308	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.689	0.310	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.689	0.311	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.688	0.312	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.688	0.312	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.687	0.313	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.687	0.313	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.687	0.313	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.685	0.315	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.685	0.315	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.684	0.316	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.684	0.316	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.684	0.316	0.000
rs115578729 lBF = `6.02631` Chr`1` : `249,125,649`	0.683	0.317	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.682	0.318	0.000
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rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.593	0.407	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.593	0.407	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.593	0.407	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.593	0.407	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.592	0.407	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.592	0.407	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.592	0.408	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.592	0.408	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.591	0.408	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.591	0.409	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.590	0.410	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.590	0.410	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.589	0.410	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.589	0.411	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.589	0.411	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.588	0.412	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.587	0.412	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.587	0.413	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.587	0.413	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.587	0.413	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.587	0.413	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.587	0.413	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.587	0.413	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.587	0.413	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.586	0.414	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.586	0.414	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.585	0.414	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.585	0.415	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.584	0.416	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.584	0.416	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.584	0.416	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.584	0.416	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.584	0.416	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.583	0.417	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.583	0.417	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.583	0.417	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.582	0.418	0.000
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.582	0.418	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.582	0.418	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.582	0.418	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.581	0.419	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.581	0.419	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.580	0.419	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.580	0.420	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.580	0.420	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.580	0.420	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.580	0.420	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.579	0.421	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.579	0.421	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.579	0.421	0.000
rs72955118 lBF = `14.2942` Chr`3` : `71,869,056`	0.579	0.421	0.000
rs75908454 lBF = `2.22788` Chr`6` : `169,970,623`	0.578	0.422	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.578	0.422	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.578	0.422	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.578	0.422	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.577	0.423	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.577	0.423	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.577	0.423	0.000
rs115526889 lBF = `33.5289` Chr`6` : `31,737,818`	0.577	0.423	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.576	0.423	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.576	0.424	0.000
rs114101798 lBF = `17.9738` Chr`3` : `135,286,950`	0.575	0.425	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.575	0.425	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.575	0.425	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.575	0.425	0.000
rs113934085 lBF = `13.4975` Chr`3` : `151,627,433`	0.574	0.426	0.000
rs2826762 lBF = `7.61206` Chr`21` : `22,649,414`	0.574	0.426	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.573	0.427	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.573	0.427	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.573	0.427	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.573	0.427	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.573	0.427	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.572	0.428	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.572	0.428	0.000
rs7554182 lBF = `3.02734` Chr`1` : `182,021,283`	0.572	0.428	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.572	0.428	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.572	0.428	0.000
rs115470510 lBF = `39.0562` Chr`6` : `31,618,511`	0.571	0.428	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.571	0.428	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.571	0.429	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.571	0.429	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.571	0.429	0.000
rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.571	0.429	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.570	0.430	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.570	0.430	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.570	0.430	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.570	0.430	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.570	0.430	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.570	0.430	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.570	0.430	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.570	0.430	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.570	0.430	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.570	0.430	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.569	0.431	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.569	0.431	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.569	0.431	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

0.6955

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9610

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9500

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9100

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8742

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8732

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8537

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8490

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8290

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7855

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7710

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7645

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7607

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7467

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7348

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7063

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6912

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6481

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6470

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6389

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6144

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6063

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5950

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5910

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5583

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5524

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5428

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5217

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4995

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4993

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4869

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4869

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4793

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4569

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4555

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4547

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4517

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4486

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4387

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4279

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4178

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4174

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4166

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4140

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4132

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4132

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4126

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4088

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4087

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4086

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4068

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4013

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.3969

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3965

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3932

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3920

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3908

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3898

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3894

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3734

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3689

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3667

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3624

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3566

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3509

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3503

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3499

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3483

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3453

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3445

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3417

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3374

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3353

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3337

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3323

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3264

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3224

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3139

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3071

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2911

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2893

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2848

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2835

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2766

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2721

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2684

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2614

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2590

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2586

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2579

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2484

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2464

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2459

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2436

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2382

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2358

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2336

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2308

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2306

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2218

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2182

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2178

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2045

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1992

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1972

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1944

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1930

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1901

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1887

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1871

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1850

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1747

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1724

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1699

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1661

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1596

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1565

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1542

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1532

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1515

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1512

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1472

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1443

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1442

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1381

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1378

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1315

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1293

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1286

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1273

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1219

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1194

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1137

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1131

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1114

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1102

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1092

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1015

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1009

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0979

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0976

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0949

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0886

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0862

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0836

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0810

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0791

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0773

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0712

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0703

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0685

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0677

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0662

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0662

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0632

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0597

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0593

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0588

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0574

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0563

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0523

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0518

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0516

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	S82 Fracture of lower leg, including ankle
Nested terms	S82.60 Fracture of lateral malleolus (closed) S82.61 Fracture of lateral malleolus (open)

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`)