TreeWAS – [S82.21] Fracture of shaft of tibia (open)

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
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.802	0.198	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.792	0.208	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.773	0.227	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.771	0.229	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.761	0.239	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.756	0.244	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.754	0.246	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.740	0.260	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.738	0.262	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.733	0.267	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.729	0.270	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.712	0.288	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.709	0.291	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.707	0.293	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.706	0.294	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.706	0.294	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.698	0.302	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.689	0.311	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.684	0.316	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.679	0.321	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.667	0.333	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.666	0.334	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.664	0.336	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.662	0.338	0.000
rs115578729 lBF = `6.02631` Chr`1` : `249,125,649`	0.652	0.348	0.000
rs10511052 lBF = `1.92327` Chr`3` : `76,725,903`	0.651	0.349	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.650	0.350	0.000
rs79464052 lBF = `2.59355` Chr`5` : `141,035,174`	0.650	0.350	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.648	0.352	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.645	0.355	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.643	0.357	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.637	0.362	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.634	0.365	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.631	0.369	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.630	0.370	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.628	0.372	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.627	0.373	0.000
rs4679325 lBF = `5.12509` Chr`3` : `126,741,478`	0.625	0.375	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.624	0.376	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.621	0.378	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.621	0.379	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.621	0.379	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.621	0.379	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.616	0.384	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.615	0.385	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.613	0.387	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.613	0.387	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.612	0.388	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.611	0.389	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.611	0.389	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.610	0.390	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.609	0.391	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.607	0.393	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.605	0.395	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.605	0.395	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.605	0.395	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.604	0.396	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.603	0.397	0.000
rs1823172 lBF = `0.580351` Chr`12` : `127,792,614`	0.602	0.398	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.601	0.399	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.600	0.399	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.600	0.399	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.599	0.401	0.000
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.599	0.401	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.598	0.402	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.598	0.402	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.596	0.404	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.595	0.405	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.595	0.405	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.594	0.406	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.594	0.406	0.000
rs72851111 lBF = `23.6522` Chr`6` : `31,414,673`	0.593	0.406	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.593	0.407	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.592	0.408	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.591	0.409	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.589	0.411	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.589	0.411	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.589	0.411	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.587	0.413	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.587	0.413	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.414	0.586
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.586	0.414	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.585	0.415	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.585	0.415	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.584	0.416	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.584	0.416	0.000
rs72882965 lBF = `23.0387` Chr`6` : `31,353,285`	0.583	0.417	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.583	0.417	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.582	0.417	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.582	0.418	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.581	0.419	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.581	0.419	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.580	0.420	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.580	0.420	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.579	0.421	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.578	0.422	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.578	0.422	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.577	0.423	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.577	0.423	0.000
rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.576	0.424	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.575	0.424	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.575	0.425	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.574	0.426	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.573	0.427	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.572	0.428	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.572	0.428	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.572	0.428	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.571	0.429	0.000
rs72878039 lBF = `23.7565` Chr`6` : `31,340,795`	0.571	0.429	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.570	0.430	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.569	0.431	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.569	0.431	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.568	0.432	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.568	0.432	0.000
rs72847395 lBF = `22.7489` Chr`6` : `31,388,555`	0.568	0.432	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.568	0.432	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.567	0.433	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.567	0.433	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.566	0.434	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.566	0.434	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.565	0.435	0.000
rs72502573 lBF = `20.8514` Chr`6` : `31,327,446`	0.565	0.435	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.564	0.436	0.000
rs68085422 lBF = `22.2032` Chr`6` : `31,327,326`	0.562	0.437	0.000
rs114783056 lBF = `22.655` Chr`6` : `31,327,265`	0.561	0.439	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.559	0.441	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.558	0.442	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.556	0.444	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.555	0.445	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.554	0.446	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.552	0.448	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.551	0.449	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.550	0.450	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.549	0.451	0.000
rs76151409 lBF = `20.9106` Chr`6` : `31,407,653`	0.548	0.451	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.548	0.452	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.547	0.453	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.547	0.453	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.547	0.453	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.546	0.454	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.545	0.455	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.545	0.455	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.544	0.456	0.000
rs118008540 lBF = `14.4387` Chr`6` : `111,739,245`	0.543	0.457	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.542	0.458	0.000
rs2826762 lBF = `7.61206` Chr`21` : `22,649,414`	0.540	0.459	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.540	0.460	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.540	0.460	0.000
rs78691034 lBF = `9.15803` Chr`3` : `47,911,121`	0.540	0.460	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.539	0.461	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.539	0.461	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.539	0.461	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.538	0.461	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.538	0.462	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.538	0.462	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.536	0.464	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.534	0.466	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.534	0.466	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.534	0.466	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.534	0.466	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.533	0.467	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.533	0.467	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.532	0.468	0.000
rs1233604 lBF = `190.369` Chr`6` : `28,734,676`	0.530	0.470	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.529	0.471	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.529	0.471	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.528	0.472	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.527	0.472	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.527	0.473	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.527	0.473	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.525	0.475	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.525	0.475	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.525	0.475	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.522	0.478	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.522	0.478	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.522	0.478	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.521	0.478	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.521	0.478	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.521	0.479	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.521	0.479	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.521	0.479	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.520	0.480	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.520	0.480	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.520	0.480	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.520	0.480	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.519	0.481	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.519	0.481	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.519	0.481	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.519	0.481	0.000
rs115526889 lBF = `33.5289` Chr`6` : `31,737,818`	0.517	0.482	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.517	0.483	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.517	0.483	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.516	0.484	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.515	0.485	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.515	0.485	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.514	0.486	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.513	0.487	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.513	0.487	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.513	0.487	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	0.487	0.512
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.511	0.488	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.511	0.488	0.000
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.511	0.489	0.000
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rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.441	0.559	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.440	0.560	0.000
rs4406273 lBF = `144.316` Chr`6` : `31,266,090`	0.440	0.560	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.439	0.560	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.439	0.561	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.439	0.561	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.439	0.561	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.439	0.561	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.438	0.562	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.438	0.562	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.438	0.562	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.438	0.562	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.437	0.562	0.000
rs73023170 lBF = `12.1533` Chr`3` : `11,630,099`	0.438	0.562	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.437	0.562	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.437	0.563	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.437	0.563	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.437	0.563	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.437	0.563	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.436	0.564	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.436	0.564	0.000
rs116043458 lBF = `29.8674` Chr`6` : `31,716,436`	0.436	0.564	0.000
rs113934085 lBF = `13.4975` Chr`3` : `151,627,433`	0.436	0.564	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.435	0.565	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.434	0.566	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.434	0.566	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.434	0.566	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.433	0.567	0.000
rs143954261 lBF = `3.1342` Chr`5` : `126,729,450`	0.433	0.567	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.433	0.567	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.432	0.567	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.432	0.568	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.432	0.568	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.432	0.568	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.432	0.568	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.432	0.568	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.431	0.568	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.431	0.569	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.431	0.569	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.431	0.569	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.431	0.569	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.430	0.570	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.430	0.570	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.430	0.570	0.000
rs11575852 lBF = `32.8864` Chr`6` : `31,647,001`	0.430	0.570	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.430	0.570	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.430	0.570	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.430	0.570	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.430	0.570	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.429	0.570	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.429	0.570	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.429	0.571	0.000
rs140009341 lBF = `2.92393` Chr`2` : `137,190,884`	0.429	0.571	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.429	0.571	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.429	0.571	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.429	0.571	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.429	0.571	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.429	0.571	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.428	0.571	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.428	0.572	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.428	0.572	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.428	0.572	0.000
rs28732081 lBF = `101.638` Chr`6` : `31,002,343`	0.428	0.572	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.427	0.572	0.000
rs16998084 lBF = `5.36261` Chr`21` : `42,471,628`	0.427	0.573	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.427	0.573	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.427	0.573	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.427	0.573	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.427	0.573	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.426	0.573	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.426	0.574	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.426	0.574	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.426	0.574	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.426	0.574	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.426	0.574	0.000
rs114712131 lBF = `14.8334` Chr`1` : `73,192,263`	0.426	0.574	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.426	0.574	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.426	0.574	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.425	0.575	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.425	0.575	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.424	0.575	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.424	0.576	0.000
rs2736173 lBF = `32.7132` Chr`6` : `31,589,735`	0.424	0.576	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.424	0.576	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.423	0.576	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.423	0.576	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.423	0.577	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.423	0.577	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.423	0.577	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.423	0.577	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.422	0.578	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.422	0.578	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.422	0.578	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.422	0.578	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.421	0.578	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

0.2699

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9798

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9364

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9102

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8863

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8534

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8382

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8242

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8068

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7819

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7805

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7732

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7626

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7613

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7568

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7497

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7274

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7056

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6837

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6796

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6685

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6596

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6578

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6455

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6397

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6322

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6242

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6211

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6148

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6101

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6071

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6019

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5956

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5792

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5541

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5478

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5462

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5455

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5372

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5099

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5003

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4988

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4873

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4862

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4693

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4663

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4653

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4648

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4514

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4504

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4498

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4463

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4408

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4348

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4318

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4300

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4273

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4117

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4069

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4057

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4037

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4025

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4023

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4016

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3996

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3962

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3923

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3856

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3796

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.3774

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3731

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3726

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3723

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3709

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3709

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3645

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3577

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3527

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3506

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3479

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3436

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3337

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3313

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3240

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3188

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3150

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3142

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3077

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2975

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2965

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2955

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2891

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2846

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2792

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2744

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2717

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2664

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2556

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2537

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2397

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2362

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2279

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2237

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2140

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2102

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2091

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2054

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2011

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1889

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1886

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1883

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1855

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1819

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1762

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1719

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1692

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1674

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1668

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1587

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1476

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1458

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1456

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1456

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1432

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1420

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1410

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1367

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1354

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1306

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1272

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1254

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1243

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1210

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1206

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1188

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1179

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1136

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1080

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1048

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1045

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1027

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0981

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0951

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0947

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0867

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0846

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0807

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0789

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0771

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0766

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0764

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0731

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0709

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0667

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0646

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0627

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0617

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0591

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0549

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0543

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`)