TreeWAS – [S92.00] Fracture of calcaneus (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
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.945	0.055	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.922	0.078	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.842	0.158	0.000
rs36063014 lBF = `5.33782` Chr`3` : `169,302,504`	0.828	0.172	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.814	0.186	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.809	0.191	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.786	0.214	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.784	0.216	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.781	0.219	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.776	0.224	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.771	0.229	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.762	0.238	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.760	0.240	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.757	0.243	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.756	0.244	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.752	0.248	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.746	0.254	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.737	0.263	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.732	0.268	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.731	0.269	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.730	0.270	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.728	0.272	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.725	0.275	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.724	0.276	0.000
rs78889204 lBF = `11.4029` Chr`3` : `36,863,059`	0.721	0.279	0.000
rs59104984 lBF = `9.35952` Chr`3` : `135,322,531`	0.715	0.285	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.706	0.294	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.704	0.296	0.000
rs397081 lBF = `8.41448` Chr`6` : `32,192,617`	0.696	0.304	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.692	0.308	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.690	0.310	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.689	0.311	0.000
rs4701523 lBF = `1.95629` Chr`5` : `26,139,138`	0.684	0.316	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.682	0.318	0.000
rs11758636 lBF = `6.63593` Chr`6` : `27,229,561`	0.681	0.319	0.000
rs12199223 lBF = `141.245` Chr`6` : `31,242,731`	0.679	0.321	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.677	0.323	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.673	0.327	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.671	0.329	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.670	0.330	0.000
rs73336408 lBF = `8.76344` Chr`21` : `23,343,776`	0.666	0.334	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.335	0.665
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.660	0.340	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.659	0.341	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.659	0.341	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.656	0.344	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.654	0.346	0.000
rs6779678 lBF = `12.6162` Chr`3` : `149,225,903`	0.653	0.347	0.000
rs1077216 lBF = `4.32499` Chr`3` : `46,892,161`	0.653	0.347	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.652	0.348	0.000
rs72983521 lBF = `3.48687` Chr`11` : `102,730,033`	0.651	0.349	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.649	0.351	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.648	0.352	0.000
rs17368890 lBF = `2.18377` Chr`11` : `102,752,600`	0.648	0.352	0.000
rs1936801 lBF = `8.69095` Chr`6` : `127,436,313`	0.648	0.352	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.648	0.352	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.645	0.355	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.645	0.355	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.644	0.356	0.000
rs61493282 lBF = `2.16805` Chr`11` : `102,754,868`	0.644	0.356	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.644	0.356	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.644	0.356	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.643	0.357	0.000
rs12562437 lBF = `1.46438` Chr`1` : `3,651,031`	0.643	0.357	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.643	0.357	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.642	0.358	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.641	0.359	0.000
rs10908523 lBF = `11.6102` Chr`1` : `156,830,218`	0.640	0.360	0.000
rs72985562 lBF = `1.17824` Chr`11` : `102,800,278`	0.639	0.361	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.638	0.361	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.637	0.363	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.636	0.363	0.000
rs2395029 lBF = `87.593` Chr`6` : `31,431,780`	0.636	0.364	0.000
rs10910018 lBF = `1.39832` Chr`1` : `3,651,409`	0.636	0.364	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.633	0.367	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.633	0.367	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.633	0.367	0.000
rs117191802 lBF = `3.84152` Chr`11` : `78,966,419`	0.630	0.370	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.629	0.371	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.628	0.372	0.000
rs3806175 lBF = `11.6012` Chr`1` : `87,793,730`	0.627	0.373	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.625	0.375	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.624	0.376	0.000
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.623	0.377	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.622	0.378	0.000
rs4418214 lBF = `126.263` Chr`6` : `31,391,401`	0.621	0.379	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.620	0.380	0.000
rs7726414 lBF = `7.38602` Chr`5` : `133,431,834`	0.620	0.380	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.382	0.618
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.616	0.384	0.000
rs6799705 lBF = `3.95758` Chr`3` : `35,982,130`	0.615	0.385	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.614	0.386	0.000
rs17476187 lBF = `6.70522` Chr`1` : `104,669,154`	0.613	0.387	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.612	0.388	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.612	0.388	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.612	0.388	0.000
rs9662633 lBF = `1.12305` Chr`1` : `3,649,562`	0.611	0.389	0.000
rs1535454 lBF = `0.810124` Chr`9` : `5,410,723`	0.610	0.390	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.609	0.391	0.000
rs56198862 lBF = `5.18995` Chr`1` : `41,172,312`	0.609	0.391	0.000
rs11580861 lBF = `2.70782` Chr`1` : `194,995,131`	0.606	0.394	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.606	0.394	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.606	0.394	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.604	0.396	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.603	0.397	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.602	0.397	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.602	0.398	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.602	0.398	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.602	0.398	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.602	0.398	0.000
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.601	0.399	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.600	0.400	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.599	0.400	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.599	0.400	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.599	0.401	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.598	0.402	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.597	0.403	0.000
rs59440261 lBF = `89.4301` Chr`6` : `31,371,071`	0.597	0.403	0.000
rs12189871 lBF = `142.293` Chr`6` : `31,251,924`	0.597	0.403	0.000
rs2745353 lBF = `6.81799` Chr`6` : `127,452,935`	0.596	0.404	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.596	0.404	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.593	0.407	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.592	0.408	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.592	0.408	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.591	0.409	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.591	0.409	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.591	0.409	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.589	0.411	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.589	0.411	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.588	0.412	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.588	0.412	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.588	0.412	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.587	0.413	0.000
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.587	0.413	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.587	0.413	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.587	0.413	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.585	0.415	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.583	0.417	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.581	0.419	0.000
rs7767775 lBF = `5.28036` Chr`6` : `170,701,194`	0.580	0.420	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.580	0.420	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.579	0.421	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.577	0.423	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.577	0.423	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.576	0.424	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.575	0.425	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.575	0.425	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.572	0.428	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.572	0.428	0.000
rs61823177 lBF = `17.368` Chr`1` : `159,815,357`	0.571	0.429	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.569	0.431	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.568	0.432	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.568	0.432	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.568	0.432	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.566	0.434	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.566	0.434	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.566	0.434	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.566	0.434	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.566	0.434	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.564	0.436	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.564	0.436	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.563	0.437	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.562	0.437	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.562	0.437	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.562	0.438	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.562	0.438	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.561	0.439	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.560	0.440	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.560	0.440	0.000
rs7729458 lBF = `5.89518` Chr`5` : `2,799,100`	0.559	0.440	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.559	0.441	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.557	0.443	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.554	0.446	0.000
rs2503322 lBF = `7.40397` Chr`6` : `127,457,260`	0.000	0.447	0.553
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.551	0.449	0.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.550	0.450	0.000
rs16984718 lBF = `4.60309` Chr`2` : `18,509,254`	0.550	0.450	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.550	0.450	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.549	0.450	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.549	0.451	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.548	0.452	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.548	0.452	0.000
rs314268 lBF = `0.849382` Chr`6` : `105,417,978`	0.548	0.452	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.546	0.454	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.546	0.454	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.545	0.455	0.000
rs7745274 lBF = `5.70603` Chr`6` : `127,509,157`	0.000	0.455	0.545
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.543	0.457	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.543	0.457	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.543	0.457	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.542	0.458	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.542	0.458	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.542	0.458	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.542	0.458	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.542	0.458	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.542	0.458	0.000
rs362521 lBF = `30.2823` Chr`6` : `29,556,759`	0.541	0.459	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.538	0.462	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.538	0.462	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.538	0.462	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.537	0.463	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.536	0.464	0.000
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.534	0.466	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.534	0.466	0.000
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rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.462	0.537	0.000
rs707915 lBF = `5.32824` Chr`6` : `31,710,968`	0.462	0.538	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.462	0.538	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.462	0.538	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.461	0.539	0.000
rs147596965 lBF = `4.05083` Chr`10` : `10,116,874`	0.461	0.539	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.461	0.539	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.461	0.539	0.000
rs57582212 lBF = `5.11979` Chr`10` : `6,079,035`	0.460	0.540	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.460	0.540	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.460	0.540	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.460	0.540	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.460	0.540	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.459	0.541	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.459	0.541	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.459	0.541	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.459	0.541	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.459	0.541	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.458	0.542	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.458	0.542	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.457	0.543	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.457	0.543	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.457	0.543	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.456	0.543	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.456	0.544	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.456	0.544	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.456	0.544	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.456	0.544	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.456	0.544	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.454	0.545	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.454	0.546	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.454	0.546	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.454	0.546	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.454	0.546	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.454	0.546	0.000
rs4151664 lBF = `61.8333` Chr`6` : `31,920,873`	0.453	0.547	0.000
rs400547 lBF = `5.30378` Chr`6` : `31,702,710`	0.453	0.547	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.453	0.547	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.453	0.547	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.453	0.547	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.453	0.547	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.453	0.547	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.452	0.547	0.000
rs141727220 lBF = `5.77406` Chr`4` : `134,428,359`	0.452	0.548	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.452	0.548	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.452	0.548	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.451	0.549	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.451	0.549	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.450	0.550	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.449	0.551	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.449	0.551	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.448	0.551	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.448	0.552	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.447	0.553	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.447	0.553	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.447	0.553	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.447	0.553	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.447	0.553	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.447	0.553	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.447	0.553	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.447	0.553	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.446	0.553	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.446	0.554	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.446	0.554	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.446	0.554	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.445	0.554	0.000
rs115277907 lBF = `44.632` Chr`6` : `31,901,090`	0.445	0.555	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.445	0.555	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.445	0.555	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.445	0.555	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.445	0.555	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.445	0.555	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.444	0.555	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.444	0.556	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.444	0.556	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.444	0.556	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.443	0.557	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.443	0.557	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.443	0.557	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.443	0.557	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.442	0.558	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.442	0.558	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.442	0.558	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.442	0.558	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.441	0.559	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.441	0.559	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.441	0.559	0.000
rs11084753 lBF = `0.62437` Chr`19` : `34,322,137`	0.441	0.559	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.441	0.559	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.439	0.560	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.439	0.561	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.439	0.561	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.439	0.561	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.438	0.561	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

0.2224

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0838

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9373

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9046

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8877

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8858

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8836

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8826

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8771

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8768

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8673

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8482

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8069

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8003

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7993

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7953

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7734

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7655

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7617

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7609

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7569

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7464

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7411

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7384

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7201

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7123

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6902

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6778

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6776

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6734

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6725

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6497

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6347

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.6330

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6174

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6119

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5789

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5781

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5755

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5740

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5699

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5682

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5589

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5575

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5549

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5467

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5183

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5168

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4976

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4859

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4853

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4623

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4554

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4493

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4472

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4417

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4394

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4325

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4283

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4164

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4098

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3959

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3769

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3756

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3735

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3728

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3685

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3671

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3563

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3543

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3424

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3392

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3342

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3286

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3247

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3228

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3092

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2958

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2888

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2877

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2845

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2826

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2726

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2694

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2676

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2657

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2650

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2620

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2598

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2594

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2547

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2538

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2509

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2469

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2439

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2355

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2347

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2318

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2220

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2160

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2151

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2109

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2069

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1997

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1939

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1912

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1879

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1741

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1712

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1708

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1674

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1672

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1661

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1636

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1599

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1592

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1588

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1571

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1563

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1500

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1500

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1492

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1462

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1456

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1452

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1445

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1393

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1368

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1363

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1358

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1334

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1311

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1297

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1245

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1242

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1214

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1162

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1150

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1123

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1083

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1058

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1053

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1007

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0990

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0964

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0960

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0946

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0874

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0820

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0737

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0737

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0729

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0726

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0723

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0699

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0672

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0617

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0597

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0593

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0568

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0549

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0503

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`)