TreeWAS – [S86.9] Injury of unspecified muscle and tendon at lower leg level

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
rs17504301 lBF = `5.6678` Chr`5` : `123,705,763`	0.833	0.167	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.744	0.256	0.000
rs11579060 lBF = `5.78074` Chr`1` : `160,606,092`	0.724	0.276	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.708	0.292	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.702	0.298	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.697	0.303	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.692	0.308	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.691	0.309	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.664	0.335	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.661	0.339	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.661	0.339	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.660	0.340	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.659	0.341	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.658	0.342	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.644	0.356	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.637	0.363	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.635	0.365	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.631	0.369	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.626	0.373	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.626	0.374	0.000
rs1205863 lBF = `4.47119` Chr`6` : `11,943,526`	0.625	0.375	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.622	0.378	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.621	0.379	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.611	0.389	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.609	0.391	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.608	0.392	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.608	0.392	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.607	0.393	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.603	0.397	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.602	0.398	0.000
rs79203142 lBF = `7.84134` Chr`11` : `21,308,589`	0.602	0.398	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.601	0.399	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.601	0.399	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.600	0.400	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.598	0.401	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.598	0.402	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.596	0.404	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.595	0.405	0.000
rs11580861 lBF = `2.70782` Chr`1` : `194,995,131`	0.594	0.406	0.000
rs12199223 lBF = `141.245` Chr`6` : `31,242,731`	0.593	0.407	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.590	0.410	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.589	0.411	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.589	0.411	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.588	0.412	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.587	0.413	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.586	0.414	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.584	0.416	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.583	0.416	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.583	0.417	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.581	0.419	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.579	0.421	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.577	0.423	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.576	0.423	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.576	0.424	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.575	0.425	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.575	0.425	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.575	0.425	0.000
rs2715502 lBF = `0.81263` Chr`4` : `179,447,733`	0.000	0.425	0.574
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.574	0.426	0.000
rs12189871 lBF = `142.293` Chr`6` : `31,251,924`	0.572	0.428	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.571	0.429	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.571	0.429	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.570	0.430	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.568	0.432	0.000
rs4406273 lBF = `144.316` Chr`6` : `31,266,090`	0.564	0.436	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.564	0.436	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.563	0.437	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.563	0.437	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.563	0.437	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.562	0.438	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.561	0.439	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.560	0.439	0.000
rs6931421 lBF = `1.54316` Chr`6` : `80,880,138`	0.560	0.440	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.559	0.441	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.559	0.441	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.558	0.442	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.557	0.442	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.557	0.443	0.000
rs67199640 lBF = `6.01397` Chr`9` : `84,306,876`	0.557	0.443	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.557	0.443	0.000
rs17190927 lBF = `0.65024` Chr`20` : `13,123,733`	0.556	0.444	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.555	0.445	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.553	0.447	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.553	0.447	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.553	0.447	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.553	0.447	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.552	0.448	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.552	0.448	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.551	0.449	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.550	0.450	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.550	0.450	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.549	0.450	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.549	0.451	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.549	0.451	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.549	0.451	0.000
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.549	0.451	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.548	0.452	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.547	0.453	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.547	0.453	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.547	0.453	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.547	0.453	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.546	0.453	0.000
rs28894993 lBF = `144.276` Chr`6` : `31,289,714`	0.546	0.454	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.545	0.455	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.545	0.455	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.545	0.455	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.544	0.456	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.544	0.456	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.544	0.456	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.544	0.456	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.544	0.456	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.543	0.456	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.543	0.456	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.543	0.457	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.543	0.457	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.543	0.457	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.543	0.457	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.543	0.457	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.542	0.458	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.542	0.458	0.000
rs72851111 lBF = `23.6522` Chr`6` : `31,414,673`	0.542	0.458	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.542	0.458	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.541	0.459	0.000
rs79272324 lBF = `9.62034` Chr`2` : `142,350,168`	0.541	0.459	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.541	0.459	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.541	0.459	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.540	0.460	0.000
rs17806457 lBF = `1.18049` Chr`9` : `112,891,635`	0.540	0.460	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.539	0.460	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.539	0.461	0.000
rs76881534 lBF = `9.28607` Chr`6` : `74,895,892`	0.539	0.461	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.539	0.461	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.539	0.461	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.537	0.462	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.537	0.462	0.000
rs72882965 lBF = `23.0387` Chr`6` : `31,353,285`	0.537	0.463	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.537	0.463	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.537	0.463	0.000
rs6799705 lBF = `3.95758` Chr`3` : `35,982,130`	0.537	0.463	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.536	0.463	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.536	0.463	0.000
rs72847395 lBF = `22.7489` Chr`6` : `31,388,555`	0.536	0.464	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.536	0.464	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.536	0.464	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.536	0.464	0.000
rs75891606 lBF = `16.6189` Chr`6` : `502,106`	0.535	0.465	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.535	0.465	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.535	0.465	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.534	0.465	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.533	0.467	0.000
rs72878039 lBF = `23.7565` Chr`6` : `31,340,795`	0.533	0.467	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.533	0.467	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.532	0.467	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.532	0.468	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.532	0.468	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.532	0.468	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.531	0.469	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.531	0.469	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.531	0.469	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.531	0.469	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.530	0.469	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.530	0.470	0.000
rs114679905 lBF = `9.02093` Chr`3` : `135,418,841`	0.530	0.470	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.530	0.470	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.530	0.470	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.530	0.470	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.529	0.470	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.529	0.471	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.529	0.471	0.000
rs3827268 lBF = `5.10531` Chr`21` : `47,350,010`	0.529	0.471	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.529	0.471	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.528	0.471	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.528	0.472	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.528	0.472	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.528	0.472	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.527	0.472	0.000
rs68085422 lBF = `22.2032` Chr`6` : `31,327,326`	0.527	0.473	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.527	0.473	0.000
rs114783056 lBF = `22.655` Chr`6` : `31,327,265`	0.526	0.473	0.000
rs72502573 lBF = `20.8514` Chr`6` : `31,327,446`	0.526	0.474	0.000
rs76151409 lBF = `20.9106` Chr`6` : `31,407,653`	0.526	0.474	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.526	0.474	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.526	0.474	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.525	0.474	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.525	0.475	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.525	0.475	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.525	0.475	0.000
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.524	0.476	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.524	0.476	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.523	0.477	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.522	0.477	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.522	0.478	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.522	0.478	0.000
rs78171731 lBF = `9.24022` Chr`14` : `30,189,605`	0.522	0.478	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.522	0.478	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.521	0.479	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.521	0.479	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.521	0.479	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.520	0.480	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.519	0.480	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.519	0.481	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.519	0.481	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.518	0.481	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.518	0.482	0.000
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rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.494	0.506	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.494	0.506	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.494	0.506	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.494	0.506	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.493	0.506	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.493	0.506	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.493	0.506	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.493	0.507	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.493	0.507	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.493	0.507	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.493	0.507	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.493	0.507	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.493	0.507	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.493	0.507	0.000
rs74703823 lBF = `12.1497` Chr`3` : `3,162,708`	0.493	0.507	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.493	0.507	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.493	0.507	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.492	0.507	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.492	0.508	0.000
rs12563513 lBF = `19.0633` Chr`1` : `114,547,798`	0.492	0.508	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.492	0.508	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.492	0.508	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.492	0.508	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.492	0.508	0.000
rs115526889 lBF = `33.5289` Chr`6` : `31,737,818`	0.492	0.508	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.492	0.508	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.491	0.508	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.491	0.508	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.491	0.508	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.491	0.508	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.491	0.509	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.491	0.509	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.491	0.509	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.491	0.509	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.491	0.509	0.000
rs116043458 lBF = `29.8674` Chr`6` : `31,716,436`	0.491	0.509	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.491	0.509	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.490	0.509	0.000
rs75908454 lBF = `2.22788` Chr`6` : `169,970,623`	0.490	0.509	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.490	0.509	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.490	0.509	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.490	0.509	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.490	0.509	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.490	0.510	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.490	0.510	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.490	0.510	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.490	0.510	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.490	0.510	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.490	0.510	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.490	0.510	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.490	0.510	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.490	0.510	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.489	0.510	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.490	0.510	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.489	0.510	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.489	0.510	0.000
rs115578729 lBF = `6.02631` Chr`1` : `249,125,649`	0.489	0.511	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.489	0.511	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.489	0.511	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.489	0.511	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.489	0.511	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.489	0.511	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.489	0.511	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.489	0.511	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.489	0.511	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.488	0.512	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.488	0.512	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.488	0.512	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.488	0.512	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.488	0.512	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.488	0.512	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.487	0.513	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.487	0.513	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.487	0.513	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.487	0.513	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.487	0.513	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.487	0.513	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.487	0.513	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.487	0.513	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.487	0.513	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.487	0.513	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.486	0.513	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.486	0.514	0.000
rs77247306 lBF = `5.19454` Chr`4` : `55,682,981`	0.486	0.514	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.486	0.514	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.486	0.514	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.486	0.514	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.486	0.514	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.486	0.514	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.486	0.514	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.486	0.514	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.486	0.514	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.485	0.514	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.485	0.514	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

0.4552

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2605

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9764

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9414

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9284

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9161

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9110

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9072

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9070

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9043

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8868

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8712

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8710

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8540

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8409

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8340

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8258

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8046

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8020

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7938

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7909

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7904

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7854

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7848

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7659

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7644

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7631

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7610

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7587

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7511

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7444

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7290

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7253

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7137

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7126

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7118

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7108

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7057

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7027

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7026

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7012

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7007

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6951

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6932

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6912

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6908

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6849

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6765

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6740

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6651

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6581

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6567

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6515

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6464

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6458

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6433

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6416

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6397

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6392

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6357

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6344

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6320

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6275

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6207

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6151

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6151

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6082

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6008

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5983

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5942

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5914

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5903

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5841

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5834

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5828

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5822

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5822

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5803

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5770

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5760

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5759

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5730

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5727

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5727

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5714

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5645

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5644

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5628

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5621

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5621

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5607

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5596

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5588

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5584

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5582

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5553

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5551

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5520

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5513

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5508

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5503

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5500

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5495

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5489

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5478

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5465

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5463

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5416

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.5394

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5380

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5360

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5276

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5201

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5140

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5139

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5139

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5138

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5138

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5133

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5132

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5130

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5128

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5124

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5122

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5121

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5089

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5088

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5066

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5052

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5038

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5035

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5035

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5030

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5023

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5021

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5015

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5013

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5007

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4996

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4967

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4959

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4955

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4919

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4912

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4865

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4865

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4852

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4845

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4840

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4834

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4757

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4717

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4717

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4686

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4685

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4671

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4639

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4587

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4528

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4477

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4448

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4423

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4403

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4358

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4311

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.4176

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4155

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4071

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4046

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3921

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3879

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3854

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3724

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3666

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3579

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3562

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3487

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3193

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3025

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2991

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.2987

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2855

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2850

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2664

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2468

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2173

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2020

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1713

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1702

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1676

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1645

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1636

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1541

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1510

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1411

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1264

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1223

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0897

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0897

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0866

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0821

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0771

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0717

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0577

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0544

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.

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`)