TreeWAS – [S82.86] Maisonneuve's fracture

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
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.712	0.288	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.711	0.289	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.710	0.290	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.292	0.708
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.705	0.295	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.704	0.296	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.702	0.298	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.700	0.300	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.691	0.309	0.000
rs2908007 lBF = `30.0281` Chr`7` : `120,962,164`	0.000	0.309	0.691
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.689	0.311	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.686	0.313	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.684	0.315	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.683	0.317	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.681	0.319	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.680	0.320	0.000
rs1936801 lBF = `8.69095` Chr`6` : `127,436,313`	0.679	0.321	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.321	0.679
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.678	0.322	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.677	0.322	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.675	0.325	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.672	0.328	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.672	0.328	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.666	0.334	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.663	0.337	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.659	0.341	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.658	0.342	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.657	0.342	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.654	0.345	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.654	0.345	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.654	0.346	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.650	0.350	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.648	0.352	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.648	0.352	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.646	0.354	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.646	0.354	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.645	0.355	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.644	0.356	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.640	0.360	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.640	0.360	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.636	0.364	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.636	0.364	0.000
rs17162990 lBF = `5.53349` Chr`1` : `28,523,238`	0.633	0.367	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.632	0.368	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.629	0.371	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.629	0.371	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.626	0.374	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.624	0.376	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.622	0.378	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.622	0.378	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.620	0.379	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.620	0.380	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.618	0.382	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.617	0.382	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.617	0.382	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.617	0.383	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.615	0.385	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.614	0.386	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.613	0.386	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.613	0.387	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.609	0.391	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.607	0.392	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.605	0.394	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.605	0.394	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.605	0.395	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.604	0.396	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.604	0.396	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.604	0.396	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.602	0.398	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.600	0.400	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.598	0.402	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.596	0.404	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.596	0.404	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.595	0.405	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.594	0.406	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.593	0.407	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.592	0.408	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.592	0.408	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.591	0.409	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.591	0.409	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.589	0.411	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.587	0.412	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.587	0.413	0.000
rs7745274 lBF = `5.70603` Chr`6` : `127,509,157`	0.000	0.417	0.583
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.582	0.417	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.582	0.418	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.581	0.419	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.581	0.419	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.580	0.420	0.000
rs113934085 lBF = `13.4975` Chr`3` : `151,627,433`	0.577	0.423	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.576	0.424	0.000
rs75891606 lBF = `16.6189` Chr`6` : `502,106`	0.576	0.424	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.574	0.426	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.574	0.426	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.574	0.426	0.000
rs115578729 lBF = `6.02631` Chr`1` : `249,125,649`	0.573	0.426	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.573	0.427	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.573	0.427	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.571	0.429	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.571	0.429	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.569	0.431	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.568	0.432	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.567	0.433	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.567	0.433	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.566	0.434	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.566	0.434	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.566	0.434	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.565	0.435	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.563	0.437	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.562	0.438	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.559	0.441	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.557	0.443	0.000
rs2503322 lBF = `7.40397` Chr`6` : `127,457,260`	0.000	0.444	0.556
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.555	0.445	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.555	0.445	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.553	0.447	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.552	0.447	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.552	0.448	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.552	0.448	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.552	0.448	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.551	0.449	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.550	0.450	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.549	0.450	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.549	0.451	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.548	0.452	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.546	0.454	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.546	0.454	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.546	0.454	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.546	0.454	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.546	0.454	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.545	0.454	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.545	0.455	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.543	0.457	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.543	0.457	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.542	0.458	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.541	0.458	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.540	0.460	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.539	0.460	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.539	0.460	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.539	0.461	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.539	0.461	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.538	0.461	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.538	0.462	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.538	0.462	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.537	0.462	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.537	0.463	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.536	0.464	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.533	0.467	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.533	0.467	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.533	0.467	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.532	0.468	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.532	0.468	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.532	0.468	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.531	0.468	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.531	0.469	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.531	0.469	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.531	0.469	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.529	0.471	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.528	0.472	0.000
rs16998084 lBF = `5.36261` Chr`21` : `42,471,628`	0.527	0.473	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.473	0.526
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.526	0.474	0.000
rs56286522 lBF = `14.5169` Chr`1` : `99,517,636`	0.526	0.474	0.000
rs2745353 lBF = `6.81799` Chr`6` : `127,452,935`	0.524	0.476	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.523	0.477	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.523	0.477	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.523	0.477	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.522	0.478	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.522	0.478	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.521	0.479	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.520	0.480	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.520	0.480	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.520	0.480	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.520	0.480	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.520	0.480	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.519	0.481	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.519	0.481	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.518	0.482	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.518	0.482	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.518	0.482	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.518	0.482	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.518	0.482	0.000
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.517	0.483	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.517	0.483	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.517	0.483	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.517	0.483	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.515	0.485	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.515	0.485	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.513	0.487	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.513	0.487	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.513	0.487	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.513	0.487	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.512	0.488	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.511	0.489	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.511	0.489	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.511	0.489	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.511	0.489	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.511	0.489	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.511	0.489	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.510	0.490	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.510	0.490	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.510	0.490	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.509	0.491	0.000
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Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.506	0.494	0.000
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Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.502	0.498	0.000
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rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.435	0.565	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.435	0.565	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.434	0.565	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.434	0.566	0.000
rs76570619 lBF = `1.1837` Chr`1` : `113,246,730`	0.434	0.566	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.434	0.566	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.433	0.566	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.433	0.567	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.433	0.567	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.433	0.567	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.433	0.567	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.432	0.568	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.432	0.568	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.432	0.568	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.432	0.568	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.431	0.569	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.431	0.569	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.431	0.569	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.431	0.569	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.430	0.569	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.430	0.570	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.430	0.570	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.429	0.571	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.428	0.571	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.428	0.572	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.428	0.572	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.428	0.572	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.428	0.572	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.427	0.573	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.427	0.573	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.427	0.573	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.427	0.573	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.426	0.574	0.000
rs9267796 lBF = `16.2604` Chr`6` : `32,023,425`	0.425	0.574	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.425	0.574	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.425	0.574	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.425	0.574	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.425	0.574	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.425	0.575	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.425	0.575	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.425	0.575	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.424	0.575	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.423	0.576	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.423	0.576	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.423	0.576	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.423	0.577	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.423	0.577	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.421	0.578	0.000
rs2791545 lBF = `12.1553` Chr`1` : `219,662,035`	0.421	0.579	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.420	0.579	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.420	0.580	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.420	0.580	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.419	0.580	0.000
rs187478995 lBF = `0.685641` Chr`11` : `23,434,935`	0.419	0.581	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.419	0.581	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.419	0.581	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.419	0.581	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.418	0.581	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.418	0.582	0.000
rs2826762 lBF = `7.61206` Chr`21` : `22,649,414`	0.418	0.582	0.000
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.418	0.582	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.418	0.582	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.418	0.582	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.418	0.582	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.417	0.583	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.416	0.584	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.415	0.584	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.415	0.585	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.415	0.585	0.000
rs17806457 lBF = `1.18049` Chr`9` : `112,891,635`	0.414	0.585	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.414	0.586	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.414	0.586	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.414	0.586	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.413	0.587	0.000
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.413	0.587	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.413	0.587	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.413	0.587	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.413	0.587	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.413	0.587	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.412	0.588	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.412	0.588	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.410	0.589	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.410	0.590	0.000
rs114685215 lBF = `1.06238` Chr`1` : `113,068,722`	0.410	0.590	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.410	0.590	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.410	0.590	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.409	0.590	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.409	0.591	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.409	0.591	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.409	0.591	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.409	0.591	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.409	0.591	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.409	0.591	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.409	0.591	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.409	0.591	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

0.5264

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.6797

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6500

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6414

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6414

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6126

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6101

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5724

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5709

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5673

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5572

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5458

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5265

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5021

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5017

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4952

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4878

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4840

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4683

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4552

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4546

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4518

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4409

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4328

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4211

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4133

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4015

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3988

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3718

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3704

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3645

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3605

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3574

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3548

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3541

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3450

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3443

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3395

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3385

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3384

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3303

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3214

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3193

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3163

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2999

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2982

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2974

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.2968

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2967

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2966

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2953

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2944

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2931

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2910

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2892

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2846

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2822

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2796

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2792

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2792

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2785

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2743

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2740

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2722

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2658

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2648

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2636

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2600

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2587

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2558

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2494

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2478

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2423

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2423

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2414

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2401

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2337

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2324

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2310

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2280

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2267

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2242

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2242

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2214

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2097

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2092

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2081

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2023

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1995

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1987

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1986

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1962

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1891

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1857

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1840

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1781

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1682

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1643

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1621

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1616

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1525

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1479

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1345

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1318

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1299

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1211

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1200

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1155

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1148

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1140

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1134

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1134

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1116

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1097

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1091

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1089

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1088

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1077

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1059

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1058

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1046

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1045

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1042

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0976

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0959

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0951

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0931

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0921

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0889

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0888

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0882

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0870

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0870

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0837

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0834

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0815

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0806

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0799

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0766

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0762

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0746

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0744

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0672

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0663

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0651

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0639

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0625

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0608

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0588

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0587

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0565

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0560

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0555

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0552

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0550

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0506

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0505

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`)