TreeWAS – [S82.70] Multiple fractures of lower leg (closed)

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
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.301	0.699
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.313	0.687
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.653	0.346	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.626	0.374	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.623	0.377	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.618	0.382	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.609	0.391	0.000
rs2908007 lBF = `30.0281` Chr`7` : `120,962,164`	0.000	0.392	0.608
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.608	0.392	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.606	0.394	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.604	0.396	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.585	0.415	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.584	0.416	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.572	0.427	0.000
rs115578729 lBF = `6.02631` Chr`1` : `249,125,649`	0.567	0.433	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.567	0.433	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.562	0.438	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.561	0.438	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.560	0.440	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.559	0.441	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.554	0.446	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.543	0.456	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.543	0.457	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.541	0.459	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.533	0.467	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.529	0.471	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.526	0.474	0.000
rs17162990 lBF = `5.53349` Chr`1` : `28,523,238`	0.518	0.482	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.512	0.488	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.511	0.488	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.511	0.489	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.511	0.489	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.510	0.489	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.510	0.490	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.509	0.491	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.508	0.492	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.507	0.493	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.507	0.493	0.000
rs1936801 lBF = `8.69095` Chr`6` : `127,436,313`	0.507	0.493	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.506	0.494	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.506	0.494	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.506	0.494	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.506	0.494	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.505	0.494	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.505	0.495	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.504	0.496	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.504	0.496	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.504	0.496	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.503	0.496	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.503	0.496	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.503	0.496	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.503	0.496	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.503	0.497	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.502	0.498	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.501	0.498	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.501	0.498	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.500	0.500	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.498	0.502	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.498	0.502	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.497	0.503	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.496	0.503	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.496	0.504	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.496	0.504	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.496	0.504	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.496	0.504	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.495	0.504	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.495	0.505	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.495	0.505	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.494	0.505	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.494	0.505	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.494	0.505	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.493	0.507	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.493	0.507	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.493	0.507	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.493	0.507	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.493	0.507	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.492	0.507	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.491	0.508	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.491	0.508	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.491	0.509	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.490	0.509	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.490	0.510	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.490	0.510	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.490	0.510	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.490	0.510	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.489	0.510	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.489	0.511	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.488	0.511	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.488	0.511	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.488	0.511	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.488	0.511	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.486	0.514	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.486	0.514	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.486	0.514	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.486	0.514	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.485	0.514	0.000
rs78691034 lBF = `9.15803` Chr`3` : `47,911,121`	0.485	0.515	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.485	0.515	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.484	0.516	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.484	0.516	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.483	0.517	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.483	0.517	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.483	0.517	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.483	0.517	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.483	0.517	0.000
rs1823172 lBF = `0.580351` Chr`12` : `127,792,614`	0.482	0.517	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.482	0.518	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.482	0.518	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.482	0.518	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.482	0.518	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.482	0.518	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.481	0.518	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.481	0.518	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.481	0.519	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.481	0.519	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.481	0.519	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.481	0.519	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.480	0.519	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.480	0.520	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.480	0.520	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.480	0.520	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.480	0.520	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.479	0.521	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.478	0.522	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.478	0.522	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.478	0.522	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.477	0.523	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.477	0.523	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.476	0.524	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.476	0.524	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.476	0.524	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.476	0.524	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.475	0.524	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.475	0.525	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.475	0.525	0.000
rs75891606 lBF = `16.6189` Chr`6` : `502,106`	0.475	0.525	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.475	0.525	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.475	0.525	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.475	0.525	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.473	0.526	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.473	0.526	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.473	0.527	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.473	0.527	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.472	0.527	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.472	0.527	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.472	0.528	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.472	0.528	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.471	0.529	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.470	0.529	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.470	0.529	0.000
rs72851111 lBF = `23.6522` Chr`6` : `31,414,673`	0.470	0.530	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.470	0.530	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.470	0.530	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.468	0.532	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.468	0.532	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.468	0.532	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.468	0.532	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.468	0.532	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.467	0.533	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.466	0.534	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.466	0.534	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.466	0.534	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.466	0.534	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.466	0.534	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.466	0.534	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.465	0.534	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.465	0.535	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.465	0.535	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.535	0.465
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.465	0.535	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.464	0.535	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.464	0.536	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.464	0.536	0.000
rs17301128 lBF = `90.5348` Chr`6` : `28,308,034`	0.464	0.536	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.463	0.536	0.000
rs72882965 lBF = `23.0387` Chr`6` : `31,353,285`	0.463	0.536	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.463	0.537	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.463	0.537	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.463	0.537	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.463	0.537	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.462	0.537	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.462	0.538	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.462	0.538	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.462	0.538	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.462	0.538	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.462	0.538	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.461	0.538	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.461	0.539	0.000
rs17806457 lBF = `1.18049` Chr`9` : `112,891,635`	0.460	0.540	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.460	0.540	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.459	0.541	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.459	0.541	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.459	0.541	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.459	0.541	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.459	0.541	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.459	0.541	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.459	0.541	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.459	0.541	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.458	0.541	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.458	0.541	0.000
rs72985562 lBF = `1.17824` Chr`11` : `102,800,278`	0.458	0.542	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.458	0.542	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.458	0.542	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.457	0.542	0.000
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rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.457	0.543	0.000
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rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.456	0.543	0.000
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rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.455	0.545	0.000
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rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.455	0.545	0.000
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rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.453	0.547	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.452	0.548	0.000
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rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.452	0.548	0.000
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rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.451	0.549	0.000
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rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.450	0.550	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.450	0.550	0.000
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rs4679325 lBF = `5.12509` Chr`3` : `126,741,478`	0.450	0.550	0.000
rs7745274 lBF = `5.70603` Chr`6` : `127,509,157`	0.000	0.550	0.450
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rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.449	0.551	0.000
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rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.448	0.552	0.000
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rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.444	0.556	0.000
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rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.443	0.557	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.442	0.557	0.000
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rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.441	0.559	0.000
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rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.416	0.583	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.416	0.583	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.416	0.584	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.416	0.584	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.416	0.584	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.416	0.584	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.416	0.584	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.416	0.584	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.416	0.584	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.415	0.584	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.415	0.584	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.415	0.585	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.415	0.585	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.415	0.585	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.414	0.586	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.414	0.586	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.414	0.586	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.413	0.586	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.413	0.587	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.413	0.587	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.412	0.588	0.000
rs56286522 lBF = `14.5169` Chr`1` : `99,517,636`	0.412	0.588	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.412	0.588	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.412	0.588	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.412	0.588	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.411	0.588	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.411	0.589	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.411	0.589	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.411	0.589	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.411	0.589	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.411	0.589	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.410	0.589	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.410	0.589	0.000
rs118008540 lBF = `14.4387` Chr`6` : `111,739,245`	0.410	0.590	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.410	0.590	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.410	0.590	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.410	0.590	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.410	0.590	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.410	0.590	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.409	0.590	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.409	0.590	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.409	0.590	0.000
rs12207186 lBF = `0.836971` Chr`6` : `162,314,921`	0.409	0.590	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.409	0.591	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.409	0.591	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.409	0.591	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.409	0.591	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.408	0.591	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.408	0.591	0.000
rs17024258 lBF = `12.5991` Chr`1` : `110,147,321`	0.408	0.591	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.408	0.592	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.408	0.592	0.000
rs183120114 lBF = `17.345` Chr`6` : `31,352,678`	0.408	0.592	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.408	0.592	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.408	0.592	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.408	0.592	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.407	0.592	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.407	0.592	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.407	0.593	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.407	0.593	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.407	0.593	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.407	0.593	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.407	0.593	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.407	0.593	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.407	0.593	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.406	0.593	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.406	0.593	0.000
rs28780111 lBF = `56.9985` Chr`6` : `30,720,311`	0.406	0.594	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.406	0.594	0.000
rs180771047 lBF = `2.90315` Chr`2` : `227,185,851`	0.406	0.594	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.406	0.594	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.406	0.594	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.406	0.594	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.406	0.594	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.405	0.594	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.405	0.595	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.405	0.595	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.405	0.595	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.405	0.595	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.405	0.595	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.405	0.595	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.404	0.595	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.404	0.596	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.404	0.596	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.404	0.596	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.404	0.596	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.404	0.596	0.000
rs10070219 lBF = `0.959929` Chr`5` : `116,703,030`	0.404	0.596	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.403	0.596	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.403	0.597	0.000
rs115526889 lBF = `33.5289` Chr`6` : `31,737,818`	0.403	0.597	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.403	0.597	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.597	0.402
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.402	0.597	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.402	0.598	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

0.4647

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9167

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8487

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8442

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8126

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7263

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6896

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6551

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6330

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6308

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5673

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5585

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5473

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5265

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5142

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5139

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5131

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5131

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5112

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5104

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5086

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5068

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5062

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5055

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.5054

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5053

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5052

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5049

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5048

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4995

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4979

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4968

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4965

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4950

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4931

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4925

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4905

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4895

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4884

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4847

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4794

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4789

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4787

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4771

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4722

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4677

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4662

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4633

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4573

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4560

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4526

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4512

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4492

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4389

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4281

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4214

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4210

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4201

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4036

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4017

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3987

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3977

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3976

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3946

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3902

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3888

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3865

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3849

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3829

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3781

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3775

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3774

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3761

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3610

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3531

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3473

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3451

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3447

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3424

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3371

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3354

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3246

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3206

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3203

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3187

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3173

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3154

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3120

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3094

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3015

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2878

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2848

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2840

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2814

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2762

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2647

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2500

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2327

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2324

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2206

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2197

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2171

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2128

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2092

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2079

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2023

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1934

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1928

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1891

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1888

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1882

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1841

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1841

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1762

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1746

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1728

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1721

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1703

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1592

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1573

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1492

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1451

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1398

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1391

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1382

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1373

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1366

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1365

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1313

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1302

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1266

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1253

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1217

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1154

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1152

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1148

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1132

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1128

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1109

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1070

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1062

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1037

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1001

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0997

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0989

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0975

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0960

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0947

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0917

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0864

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0862

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0817

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0742

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0741

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0732

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0727

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0726

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0695

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0664

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0645

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0596

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0596

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0581

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0564

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0517

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0516

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

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

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

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`)