TreeWAS – [D21.9] Connective and other soft tissue, unspecified

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
rs2242652 lBF = `35.8732` Chr`5` : `1,280,028`	0.784	0.216	0.000
rs12696304 lBF = `14.3492` Chr`3` : `169,481,271`	0.000	0.227	0.773
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.763	0.237	0.000
rs6793295 lBF = `12.5746` Chr`3` : `169,518,455`	0.000	0.241	0.759
rs10069690 lBF = `39.1405` Chr`5` : `1,279,790`	0.753	0.247	0.000
rs1317082 lBF = `18.6518` Chr`3` : `169,497,585`	0.000	0.248	0.752
rs10936601 lBF = `13.6071` Chr`3` : `169,528,449`	0.000	0.249	0.751
rs10936599 lBF = `19.9134` Chr`3` : `169,492,101`	0.000	0.251	0.749
rs12638862 lBF = `16.7207` Chr`3` : `169,477,506`	0.000	0.252	0.748
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.730	0.270	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.696	0.304	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.693	0.307	0.000
rs72709458 lBF = `44.6062` Chr`5` : `1,283,755`	0.690	0.310	0.000
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	0.310	0.690
rs13097028 lBF = `5.78513` Chr`3` : `169,464,942`	0.000	0.328	0.672
rs1920116 lBF = `10.5672` Chr`3` : `169,579,971`	0.000	0.332	0.668
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.663	0.337	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.663	0.337	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.656	0.344	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.655	0.345	0.000
rs4352416 lBF = `12.7022` Chr`3` : `169,554,084`	0.000	0.348	0.652
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.638	0.362	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.637	0.363	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.637	0.363	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.633	0.367	0.000
rs7726159 lBF = `37.189` Chr`5` : `1,282,319`	0.633	0.367	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.624	0.375	0.000
rs7725218 lBF = `34.4239` Chr`5` : `1,282,414`	0.623	0.377	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.616	0.384	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.614	0.385	0.000
rs75239648 lBF = `14.3267` Chr`1` : `244,855,509`	0.614	0.386	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.611	0.388	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.608	0.392	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.607	0.393	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.607	0.393	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.605	0.395	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.602	0.398	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.601	0.399	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.600	0.399	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.600	0.400	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.599	0.400	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.599	0.401	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.598	0.402	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.598	0.402	0.000
rs11725957 lBF = `5.87175` Chr`4` : `49,062,892`	0.597	0.403	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.597	0.403	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.594	0.406	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.594	0.406	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.593	0.407	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.592	0.408	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.591	0.409	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.588	0.412	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.588	0.412	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.587	0.412	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.586	0.414	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.586	0.414	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.586	0.414	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.585	0.414	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.584	0.415	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.584	0.416	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.583	0.417	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.582	0.418	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.582	0.418	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.581	0.419	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.580	0.420	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.580	0.420	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.580	0.420	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.579	0.421	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.579	0.421	0.000
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.578	0.421	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.578	0.422	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.577	0.422	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.576	0.424	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.576	0.424	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.575	0.425	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.574	0.426	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.574	0.426	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.571	0.429	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.571	0.429	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.570	0.430	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.569	0.431	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.567	0.433	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.567	0.433	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.567	0.433	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.567	0.433	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.567	0.433	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.566	0.434	0.000
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.000	0.435	0.565
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.565	0.435	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.564	0.435	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.564	0.436	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.564	0.436	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.564	0.436	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.563	0.436	0.000
rs2823752 lBF = `12.8636` Chr`21` : `17,717,125`	0.563	0.437	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.563	0.437	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.562	0.437	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.562	0.437	0.000
rs12655019 lBF = `5.66192` Chr`5` : `56,195,790`	0.562	0.438	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.561	0.439	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.561	0.439	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.560	0.440	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.559	0.441	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.559	0.441	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.559	0.441	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.559	0.441	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.558	0.442	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.558	0.442	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.558	0.442	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.557	0.442	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.557	0.443	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.557	0.443	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.556	0.443	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.556	0.444	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.556	0.444	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.556	0.444	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.556	0.444	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.555	0.445	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.555	0.445	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.555	0.445	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.554	0.446	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.554	0.446	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.554	0.446	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.553	0.447	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.553	0.447	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.552	0.448	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.552	0.448	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.551	0.448	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.551	0.448	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.551	0.449	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.551	0.449	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.551	0.449	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.549	0.451	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.547	0.452	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.546	0.453	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.546	0.453	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.546	0.454	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.545	0.454	0.000
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.545	0.455	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.545	0.455	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.545	0.455	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.544	0.455	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.544	0.456	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.543	0.456	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.543	0.457	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.543	0.457	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.542	0.457	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.542	0.457	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.542	0.458	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.542	0.458	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.542	0.458	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.541	0.458	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.541	0.459	0.000
rs77292666 lBF = `7.58228` Chr`21` : `33,214,050`	0.541	0.459	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.541	0.459	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.541	0.459	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.540	0.460	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.540	0.460	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.540	0.460	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.539	0.461	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.539	0.461	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.538	0.462	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.538	0.462	0.000
rs12069385 lBF = `5.15863` Chr`1` : `35,779,988`	0.538	0.462	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.537	0.463	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.536	0.464	0.000
rs2834812 lBF = `1.53993` Chr`21` : `36,533,662`	0.536	0.464	0.000
rs76086850 lBF = `17.5203` Chr`6` : `152,508,097`	0.534	0.465	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.534	0.466	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.534	0.466	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.534	0.466	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.534	0.466	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.533	0.467	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.533	0.467	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.533	0.467	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.533	0.467	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.532	0.467	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.532	0.468	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.532	0.468	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.532	0.468	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.532	0.468	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.531	0.469	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.531	0.469	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.531	0.469	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.530	0.470	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.530	0.470	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.530	0.470	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.529	0.470	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.529	0.470	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.529	0.470	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.529	0.471	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.529	0.471	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.529	0.471	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.529	0.471	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.529	0.471	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.528	0.471	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.528	0.471	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.527	0.473	0.000
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.473	0.527
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.527	0.473	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.526	0.473	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.526	0.473	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.526	0.474	0.000
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rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.493	0.507	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.493	0.507	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.493	0.507	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.493	0.507	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.492	0.507	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.492	0.508	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.492	0.508	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.492	0.508	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.492	0.508	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.492	0.508	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.491	0.508	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.491	0.509	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.491	0.509	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.491	0.509	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.490	0.509	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.489	0.510	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.489	0.511	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.489	0.511	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.489	0.511	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.489	0.511	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.488	0.511	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.488	0.512	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.488	0.512	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.488	0.512	0.000
rs1887284 lBF = `14.8007` Chr`1` : `1,487,059`	0.487	0.513	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.487	0.513	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.486	0.513	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.486	0.514	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.486	0.514	0.000
rs115467216 lBF = `17.4437` Chr`5` : `121,359,965`	0.486	0.514	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.486	0.514	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.486	0.514	0.000
rs205000 lBF = `21.2147` Chr`6` : `32,135,878`	0.486	0.514	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.485	0.514	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.485	0.514	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.485	0.514	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.485	0.515	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.485	0.515	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.484	0.515	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.484	0.516	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.484	0.516	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.484	0.516	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.484	0.516	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.484	0.516	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.483	0.517	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.483	0.517	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.483	0.517	0.000
rs2280543 lBF = `7.77563` Chr`11` : `203,788`	0.000	0.517	0.482
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.482	0.518	0.000
rs7828067 lBF = `8.85726` Chr`8` : `117,796,195`	0.482	0.518	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.482	0.518	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.482	0.518	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.482	0.518	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.481	0.519	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.481	0.519	0.000
Affx-31406520 lBF = `9.74408` Chr`8` : `117,783,975`	0.481	0.519	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.481	0.519	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.481	0.519	0.000
rs1801516 lBF = `11.9523` Chr`11` : `108,175,462`	0.000	0.519	0.480
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.480	0.520	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.480	0.520	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.479	0.521	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.479	0.521	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.479	0.521	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.479	0.521	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.479	0.521	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.479	0.521	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.478	0.521	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.478	0.522	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.478	0.522	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.478	0.522	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.478	0.522	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.478	0.522	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.478	0.522	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.477	0.523	0.000
rs76570619 lBF = `1.1837` Chr`1` : `113,246,730`	0.477	0.523	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.477	0.523	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.477	0.523	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.476	0.523	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.476	0.523	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.476	0.524	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.476	0.524	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.476	0.524	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.475	0.525	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.475	0.525	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.475	0.525	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.475	0.525	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.474	0.526	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.474	0.526	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.474	0.526	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.474	0.526	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.474	0.526	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.474	0.526	0.000
rs186507655 lBF = `20.9052` Chr`1` : `1,287,055`	0.474	0.526	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.474	0.526	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.5861

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1246

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8002

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7962

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7163

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7160

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7148

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7147

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7145

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7126

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7120

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7104

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7102

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7096

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7063

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7056

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7052

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7037

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6996

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6988

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6983

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6980

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6966

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6963

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6918

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6913

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6910

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6909

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6892

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6843

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6821

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.6750

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6743

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6706

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6705

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6657

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6656

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6643

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6605

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6563

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6562

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6552

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6538

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6536

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6535

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6533

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6439

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6433

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6431

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6419

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6389

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6348

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6336

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6296

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6278

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6270

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6257

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6255

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6149

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5973

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5968

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5953

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5911

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5877

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5804

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5791

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5734

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5721

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5678

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5653

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5626

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5595

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5527

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5512

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5511

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5492

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5463

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5433

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5409

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5400

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5319

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5304

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5296

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5296

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5235

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5214

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5155

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5010

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4978

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4975

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4941

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4638

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4618

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4589

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4374

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4367

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4327

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4302

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4042

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4019

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4003

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3922

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3889

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3743

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3741

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3736

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3707

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3609

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3576

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3576

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3526

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3450

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3441

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3203

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3165

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3118

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3100

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2891

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2824

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2812

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2793

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2781

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2743

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2678

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2615

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2566

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2485

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2438

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2288

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2116

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1844

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1794

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1641

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1410

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1317

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1233

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1230

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1197

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1069

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0988

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0931

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0798

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0785

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0755

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0687

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0626

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0612

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0550

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0529

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0514

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`)