TreeWAS – [S82.51] Fracture of medial malleolus (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
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.715	0.285	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.655	0.344	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.644	0.356	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.640	0.360	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.638	0.362	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.637	0.363	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.630	0.370	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.624	0.376	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.624	0.376	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.619	0.381	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.617	0.382	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.616	0.384	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.612	0.388	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.607	0.393	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.605	0.394	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.604	0.396	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.602	0.398	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.601	0.399	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.593	0.407	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.592	0.407	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.592	0.408	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.581	0.419	0.000
rs115578729 lBF = `6.02631` Chr`1` : `249,125,649`	0.579	0.421	0.000
rs2908007 lBF = `30.0281` Chr`7` : `120,962,164`	0.000	0.423	0.576
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.574	0.426	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.572	0.428	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.570	0.430	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.568	0.432	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.568	0.432	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.566	0.434	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.565	0.435	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.565	0.435	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.562	0.438	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.561	0.438	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.561	0.439	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.561	0.439	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.560	0.440	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.559	0.441	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.556	0.444	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.555	0.444	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.555	0.445	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.554	0.446	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.551	0.449	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.551	0.449	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.548	0.452	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.547	0.453	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.547	0.453	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.543	0.457	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.543	0.457	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.543	0.457	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.541	0.458	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.540	0.459	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.540	0.460	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.539	0.461	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.538	0.462	0.000
rs78691034 lBF = `9.15803` Chr`3` : `47,911,121`	0.538	0.462	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.538	0.462	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.537	0.462	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.537	0.463	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.536	0.464	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.536	0.464	0.000
rs12526186 lBF = `58.9659` Chr`6` : `30,736,151`	0.536	0.464	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.535	0.465	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.534	0.466	0.000
rs72985562 lBF = `1.17824` Chr`11` : `102,800,278`	0.533	0.467	0.000
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.532	0.468	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.531	0.469	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.530	0.470	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.529	0.471	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.528	0.471	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.528	0.471	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.526	0.474	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.525	0.475	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.522	0.477	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.521	0.478	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.521	0.479	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.520	0.479	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.520	0.480	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.519	0.480	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.519	0.481	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.517	0.483	0.000
rs17162990 lBF = `5.53349` Chr`1` : `28,523,238`	0.517	0.483	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.516	0.484	0.000
rs1936801 lBF = `8.69095` Chr`6` : `127,436,313`	0.516	0.484	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.516	0.484	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.515	0.485	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.512	0.487	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.512	0.488	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.512	0.488	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.511	0.489	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.510	0.489	0.000
rs116527709 lBF = `14.7969` Chr`1` : `87,398,673`	0.510	0.490	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.508	0.492	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.508	0.492	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.507	0.493	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.506	0.494	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.505	0.495	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.504	0.496	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.504	0.496	0.000
rs12660883 lBF = `58.8029` Chr`6` : `30,764,420`	0.503	0.497	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.502	0.498	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.502	0.498	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.501	0.498	0.000
rs28780111 lBF = `56.9985` Chr`6` : `30,720,311`	0.500	0.499	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.500	0.500	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.500	0.500	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.500	0.500	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.499	0.501	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.499	0.501	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.498	0.502	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.498	0.502	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.498	0.502	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.497	0.502	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.497	0.503	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.496	0.504	0.000
rs116043458 lBF = `29.8674` Chr`6` : `31,716,436`	0.495	0.504	0.000
rs72851111 lBF = `23.6522` Chr`6` : `31,414,673`	0.495	0.504	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.495	0.505	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.495	0.505	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.494	0.506	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.493	0.507	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.493	0.507	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.493	0.507	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.492	0.507	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.492	0.508	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.492	0.508	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.492	0.508	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.491	0.509	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.490	0.509	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.490	0.509	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.490	0.510	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.490	0.510	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.490	0.510	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.490	0.510	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.488	0.511	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.488	0.512	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.488	0.512	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.487	0.513	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.487	0.513	0.000
rs72882965 lBF = `23.0387` Chr`6` : `31,353,285`	0.487	0.513	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.486	0.513	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.486	0.514	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.486	0.514	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.485	0.514	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.485	0.515	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.485	0.515	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.485	0.515	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.485	0.515	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.485	0.515	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.483	0.516	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.517	0.483
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.482	0.518	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.482	0.518	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.481	0.518	0.000
rs72847395 lBF = `22.7489` Chr`6` : `31,388,555`	0.481	0.519	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.481	0.519	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.480	0.519	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.480	0.520	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.480	0.520	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.478	0.522	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.478	0.522	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.478	0.522	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.478	0.522	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.478	0.522	0.000
rs79464052 lBF = `2.59355` Chr`5` : `141,035,174`	0.477	0.523	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.523	0.477
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.477	0.523	0.000
rs72878039 lBF = `23.7565` Chr`6` : `31,340,795`	0.477	0.523	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.477	0.523	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.523	0.477
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.476	0.523	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.476	0.524	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.475	0.525	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.475	0.525	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.474	0.526	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.474	0.526	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.474	0.526	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.474	0.526	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.473	0.526	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.473	0.527	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.473	0.527	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.473	0.527	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.473	0.527	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.473	0.527	0.000
rs75891606 lBF = `16.6189` Chr`6` : `502,106`	0.473	0.527	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.472	0.528	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.472	0.528	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.472	0.528	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.472	0.528	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.471	0.528	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.471	0.529	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.471	0.529	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.471	0.529	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.470	0.530	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.470	0.530	0.000
rs72502573 lBF = `20.8514` Chr`6` : `31,327,446`	0.470	0.530	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.470	0.530	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.469	0.530	0.000
rs68085422 lBF = `22.2032` Chr`6` : `31,327,326`	0.469	0.530	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.468	0.531	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.468	0.532	0.000
rs114783056 lBF = `22.655` Chr`6` : `31,327,265`	0.468	0.532	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.468	0.532	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.532	0.468
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rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.426	0.574	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.426	0.574	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.425	0.574	0.000
rs112243387 lBF = `5.91351` Chr`21` : `37,649,206`	0.425	0.574	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.425	0.574	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.425	0.575	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.425	0.575	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.425	0.575	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.425	0.575	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.424	0.575	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.424	0.576	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.424	0.576	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.424	0.576	0.000
rs114357381 lBF = `13.4276` Chr`1` : `217,870,257`	0.424	0.576	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.424	0.576	0.000
rs2791545 lBF = `12.1553` Chr`1` : `219,662,035`	0.424	0.576	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.424	0.576	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.423	0.576	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.423	0.577	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.423	0.577	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.422	0.577	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.422	0.578	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.422	0.578	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.422	0.578	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.422	0.578	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.422	0.578	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.421	0.578	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.421	0.579	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.421	0.579	0.000
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.421	0.579	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.421	0.579	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.421	0.579	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.421	0.579	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.420	0.580	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.420	0.580	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.420	0.580	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.420	0.580	0.000
rs16998084 lBF = `5.36261` Chr`21` : `42,471,628`	0.419	0.580	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.419	0.580	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.419	0.580	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.419	0.580	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.419	0.580	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.419	0.581	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.419	0.581	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.418	0.581	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.418	0.581	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.418	0.582	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.418	0.582	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.418	0.582	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.418	0.582	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.418	0.582	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.418	0.582	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.418	0.582	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.417	0.582	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.417	0.583	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.417	0.583	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.417	0.583	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.417	0.583	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.417	0.583	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.416	0.584	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.416	0.584	0.000
rs6929137 lBF = `11.0316` Chr`6` : `151,936,677`	0.416	0.584	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.416	0.584	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.416	0.584	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.416	0.584	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.416	0.584	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.416	0.584	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.416	0.584	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.415	0.584	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.415	0.584	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.415	0.585	0.000
rs3801387 lBF = `18.8319` Chr`7` : `120,974,765`	0.000	0.585	0.415
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.415	0.585	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.415	0.585	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.415	0.585	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.414	0.585	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.414	0.586	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.414	0.586	0.000
rs12660860 lBF = `57.1912` Chr`6` : `30,764,241`	0.414	0.586	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.413	0.586	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.413	0.586	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.413	0.587	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.413	0.587	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.413	0.587	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.412	0.587	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.412	0.588	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.412	0.588	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.412	0.588	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.412	0.588	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.412	0.588	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.411	0.589	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.411	0.589	0.000
rs117124364 lBF = `1.90172` Chr`21` : `34,369,761`	0.411	0.589	0.000
rs10070219 lBF = `0.959929` Chr`5` : `116,703,030`	0.411	0.589	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.411	0.589	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

0.4676

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7281

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6886

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6867

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6861

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6785

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6749

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6581

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6258

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6235

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6232

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6196

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6158

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6094

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6083

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5976

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5876

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5875

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5794

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5709

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5673

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5654

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5421

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5412

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5286

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5282

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5244

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5238

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5201

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5166

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5092

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5019

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4976

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4924

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4813

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4808

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4795

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4790

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4761

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4752

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4735

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4660

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4654

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4606

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4530

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4484

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4445

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4423

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4403

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4369

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4365

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4336

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4275

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4230

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4157

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4126

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4125

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4115

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4106

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4016

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4015

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4003

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3939

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3819

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3791

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3743

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3734

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3706

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3663

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3618

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3482

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3442

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3423

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3409

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3366

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3314

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3247

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3145

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3105

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3096

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3049

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3034

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3032

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2993

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2947

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2944

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2862

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2759

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2627

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2565

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2552

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2482

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2479

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2419

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2387

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2387

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2383

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2292

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2214

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2041

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2034

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2000

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1928

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1901

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1897

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1739

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1607

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1601

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1564

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1553

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1545

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1545

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1526

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1504

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1477

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1442

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1405

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1400

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1383

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1382

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1377

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1363

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1319

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1301

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1293

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1285

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1283

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1259

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1244

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1147

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1138

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1133

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1085

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1083

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1062

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1060

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0976

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0973

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0903

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0903

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0900

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0887

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0855

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0855

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0845

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0816

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0803

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0757

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0727

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0706

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0684

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0662

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0656

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0634

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0593

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0575

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0566

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0517

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0516

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0515

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`)