TreeWAS – [M23.80] Other internal derangements of knee (Multiple sites)

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
rs143384 lBF = `39.0273` Chr`20` : `34,025,756`	0.000	0.169	0.831
rs10777534 lBF = `5.44821` Chr`12` : `94,084,878`	0.831	0.169	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.825	0.175	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.811	0.189	0.000
rs11773624 lBF = `6.07296` Chr`7` : `12,023,864`	0.803	0.197	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.802	0.197	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.796	0.204	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.781	0.219	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.781	0.219	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.779	0.221	0.000
rs12978748 lBF = `5.98606` Chr`19` : `52,296,815`	0.776	0.223	0.000
Affx-28513472 lBF = `130.257` Chr`6` : `33,053,577`	0.776	0.224	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.775	0.225	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.765	0.235	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.764	0.236	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.764	0.236	0.000
rs6924545 lBF = `125.123` Chr`6` : `33,077,607`	0.763	0.237	0.000
rs9461832 lBF = `129.551` Chr`6` : `33,056,384`	0.760	0.240	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.759	0.241	0.000
rs224329 lBF = `36.2774` Chr`20` : `34,019,579`	0.000	0.242	0.758
rs6911848 lBF = `125.052` Chr`6` : `33,075,259`	0.754	0.246	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.752	0.248	0.000
rs78110303 lBF = `35.1732` Chr`20` : `34,025,983`	0.000	0.251	0.749
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.747	0.253	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.745	0.255	0.000
rs224333 lBF = `33.3177` Chr`20` : `34,023,962`	0.000	0.256	0.744
rs35983068 lBF = `10.6447` Chr`11` : `30,215,430`	0.742	0.258	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.739	0.261	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.739	0.261	0.000
rs11965763 lBF = `126.728` Chr`6` : `33,076,682`	0.736	0.264	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.734	0.266	0.000
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.724	0.275	0.000
rs10859567 lBF = `2.9515` Chr`12` : `94,126,925`	0.723	0.277	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.720	0.280	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.717	0.283	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.716	0.284	0.000
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	0.715	0.285	0.000
rs10511598 lBF = `5.70461` Chr`9` : `14,841,633`	0.713	0.287	0.000
rs537160 lBF = `213.027` Chr`6` : `31,916,400`	0.710	0.290	0.000
rs10859563 lBF = `2.0749` Chr`12` : `94,120,339`	0.703	0.297	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.700	0.300	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.699	0.300	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.699	0.301	0.000
rs2523589 lBF = `129.09` Chr`6` : `31,327,334`	0.000	0.304	0.696
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.689	0.311	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.688	0.312	0.000
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	0.687	0.313	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.685	0.315	0.000
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.683	0.317	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.681	0.319	0.000
rs62392365 lBF = `46.9408` Chr`6` : `25,371,369`	0.679	0.321	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.673	0.327	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.672	0.328	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.672	0.328	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.670	0.329	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.669	0.331	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.669	0.331	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.668	0.332	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.667	0.332	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.667	0.333	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.666	0.334	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.664	0.336	0.000
rs41289279 lBF = `7.10619` Chr`10` : `988,262`	0.663	0.337	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.659	0.341	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.658	0.342	0.000
rs7749823 lBF = `90.5695` Chr`6` : `26,158,079`	0.658	0.342	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.656	0.343	0.000
rs502771 lBF = `134.013` Chr`6` : `32,578,970`	0.656	0.344	0.000
rs4911179 lBF = `34.7706` Chr`20` : `33,972,899`	0.000	0.344	0.656
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.656	0.344	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.654	0.346	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.654	0.346	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.653	0.347	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.651	0.349	0.000
rs4911494 lBF = `35.7111` Chr`20` : `33,971,914`	0.000	0.351	0.649
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.649	0.351	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.647	0.353	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.647	0.353	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.645	0.355	0.000
rs6088813 lBF = `35.2864` Chr`20` : `33,975,181`	0.000	0.356	0.644
rs141752671 lBF = `4.05608` Chr`11` : `103,616,565`	0.644	0.356	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.644	0.356	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.639	0.361	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.638	0.362	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.638	0.362	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.638	0.362	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	0.637	0.363	0.000
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.637	0.363	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.635	0.365	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.635	0.365	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.635	0.365	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.633	0.366	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.632	0.368	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.631	0.369	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.629	0.370	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.629	0.370	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.629	0.371	0.000
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	0.628	0.372	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.628	0.372	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.627	0.373	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.627	0.373	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.624	0.376	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.624	0.376	0.000
rs3857546 lBF = `88.7695` Chr`6` : `26,157,762`	0.624	0.376	0.000
rs11891674 lBF = `5.24113` Chr`2` : `40,281,964`	0.622	0.378	0.000
rs74349453 lBF = `15.9746` Chr`2` : `43,057,069`	0.622	0.378	0.000
rs7744381 lBF = `115.071` Chr`6` : `33,081,798`	0.620	0.380	0.000
rs62242686 lBF = `11.9408` Chr`3` : `38,349,391`	0.619	0.381	0.000
rs302972 lBF = `19.5862` Chr`6` : `25,120,787`	0.619	0.381	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.619	0.381	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.618	0.382	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.616	0.384	0.000
rs13196552 lBF = `92.1189` Chr`6` : `25,974,204`	0.616	0.384	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.615	0.385	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.615	0.385	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.613	0.387	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.613	0.387	0.000
rs114987209 lBF = `12.4094` Chr`1` : `195,017,692`	0.613	0.387	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.612	0.387	0.000
rs6060369 lBF = `31.7161` Chr`20` : `33,907,161`	0.000	0.388	0.612
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.612	0.388	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.612	0.388	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.612	0.388	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.611	0.389	0.000
rs114712131 lBF = `14.8334` Chr`1` : `73,192,263`	0.611	0.389	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.611	0.389	0.000
rs1480380 lBF = `75.3568` Chr`6` : `32,913,246`	0.610	0.390	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.610	0.390	0.000
rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.609	0.390	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.609	0.391	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.608	0.392	0.000
rs79682748 lBF = `17.0173` Chr`1` : `66,989,719`	0.604	0.396	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.603	0.397	0.000
rs10480 lBF = `12.2881` Chr`1` : `150,280,546`	0.603	0.397	0.000
rs6060373 lBF = `31.6676` Chr`20` : `33,914,208`	0.000	0.397	0.603
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.602	0.398	0.000
rs1092015 lBF = `1.59496` Chr`14` : `58,200,725`	0.000	0.399	0.601
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.600	0.399	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.600	0.400	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.600	0.400	0.000
rs16891235 lBF = `94.1744` Chr`6` : `26,017,542`	0.600	0.400	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.600	0.400	0.000
rs16891334 lBF = `95.5097` Chr`6` : `26,124,303`	0.600	0.400	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.600	0.400	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.599	0.401	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.597	0.403	0.000
rs1045537 lBF = `94.9576` Chr`6` : `26,096,748`	0.596	0.404	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.596	0.404	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.594	0.406	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.594	0.406	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.593	0.407	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.592	0.407	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.592	0.408	0.000
rs1531046 lBF = `5.49776` Chr`2` : `84,550,396`	0.591	0.409	0.000
rs115083581 lBF = `14.4282` Chr`1` : `36,376,992`	0.590	0.410	0.000
rs507778 lBF = `74.1016` Chr`6` : `32,209,861`	0.590	0.410	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.590	0.410	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.588	0.411	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.588	0.412	0.000
rs10484433 lBF = `93.7652` Chr`6` : `26,030,492`	0.587	0.413	0.000
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.587	0.413	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.586	0.414	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.586	0.414	0.000
rs1233604 lBF = `190.369` Chr`6` : `28,734,676`	0.585	0.415	0.000
rs10498529 lBF = `6.78445` Chr`14` : `69,770,690`	0.584	0.415	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.583	0.416	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.583	0.416	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.583	0.417	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.582	0.417	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.582	0.418	0.000
rs2994684 lBF = `0.594283` Chr`10` : `31,366,271`	0.581	0.419	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.580	0.420	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.579	0.420	0.000
rs3021304 lBF = `125.582` Chr`6` : `32,575,658`	0.579	0.420	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.579	0.421	0.000
rs10276485 lBF = `6.5603` Chr`7` : `21,714,733`	0.578	0.421	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.578	0.422	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.578	0.422	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.577	0.422	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.577	0.423	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.577	0.423	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.576	0.424	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.576	0.424	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.575	0.425	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.575	0.425	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.575	0.425	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.574	0.425	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.574	0.426	0.000
rs16891315 lBF = `91.5417` Chr`6` : `26,111,756`	0.574	0.426	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.572	0.428	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.572	0.428	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.572	0.428	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.571	0.429	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.571	0.429	0.000
rs78171731 lBF = `9.24022` Chr`14` : `30,189,605`	0.571	0.429	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.571	0.429	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.571	0.429	0.000
rs79257513 lBF = `6.25159` Chr`3` : `55,862,777`	0.570	0.429	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.570	0.430	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.570	0.430	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.569	0.431	0.000
rs60525454 lBF = `0.680418` Chr`7` : `2,652,222`	0.569	0.431	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.569	0.431	0.000
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rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.566	0.434	0.000
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rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.559	0.441	0.000
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rs62402485 lBF = `14.4447` Chr`6` : `21,913,817`	0.558	0.442	0.000
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rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.555	0.444	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.555	0.445	0.000
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rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.553	0.447	0.000
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rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.543	0.456	0.000
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rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.542	0.457	0.000
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rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.542	0.458	0.000
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rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.537	0.463	0.000
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rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.505	0.495	0.000
rs1311918 lBF = `208.355` Chr`6` : `28,753,646`	0.505	0.495	0.000
rs114112990 lBF = `28.3835` Chr`1` : `1,334,519`	0.505	0.495	0.000
rs9273529 lBF = `237.135` Chr`6` : `32,628,698`	0.505	0.495	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.505	0.495	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.505	0.495	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.504	0.495	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.504	0.496	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.504	0.496	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.504	0.496	0.000
rs75803315 lBF = `6.95989` Chr`6` : `54,030,352`	0.504	0.496	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.504	0.496	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.504	0.496	0.000
rs3130837 lBF = `209.57` Chr`6` : `28,948,092`	0.504	0.496	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.503	0.496	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.503	0.497	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.503	0.497	0.000
rs76150537 lBF = `15.7037` Chr`2` : `67,063,487`	0.503	0.497	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.502	0.498	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.502	0.498	0.000
rs3118357 lBF = `210.247` Chr`6` : `28,802,149`	0.502	0.498	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.501	0.499	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.501	0.499	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.501	0.499	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.501	0.499	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.501	0.499	0.000
rs191655746 lBF = `3.59071` Chr`2` : `80,794,915`	0.500	0.499	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.500	0.500	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.500	0.500	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.500	0.500	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.500	0.500	0.000
rs72765334 lBF = `5.63815` Chr`2` : `3,312,868`	0.499	0.501	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.499	0.501	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.499	0.501	0.000
rs1165165 lBF = `47.0935` Chr`6` : `25,862,466`	0.499	0.501	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.498	0.501	0.000
rs1324087 lBF = `95.6518` Chr`6` : `25,841,408`	0.498	0.502	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.498	0.502	0.000
rs1233579 lBF = `197.386` Chr`6` : `28,712,663`	0.497	0.502	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.497	0.503	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.497	0.503	0.000
rs7767099 lBF = `208.838` Chr`6` : `28,768,698`	0.497	0.503	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.497	0.503	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.496	0.503	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.496	0.504	0.000
rs75376680 lBF = `19.3682` Chr`3` : `18,052,434`	0.496	0.504	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.495	0.504	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.496	0.504	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.495	0.505	0.000
rs74703823 lBF = `12.1497` Chr`3` : `3,162,708`	0.495	0.505	0.000
rs114439515 lBF = `1.19568` Chr`4` : `57,676,403`	0.494	0.505	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.494	0.505	0.000
rs77135516 lBF = `13.8756` Chr`1` : `229,994,958`	0.494	0.506	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.494	0.506	0.000
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.494	0.506	0.000
rs3135356 lBF = `253.703` Chr`6` : `32,391,516`	0.494	0.506	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.493	0.507	0.000
rs1235162 lBF = `240.328` Chr`6` : `29,537,224`	0.493	0.507	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.493	0.507	0.000
rs9393929 lBF = `195.915` Chr`6` : `28,696,063`	0.493	0.507	0.000
rs3117427 lBF = `198.849` Chr`6` : `29,274,136`	0.492	0.508	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.492	0.508	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.492	0.508	0.000
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.491	0.509	0.000
rs114425738 lBF = `14.7301` Chr`1` : `92,171,673`	0.491	0.509	0.000
rs4324798 lBF = `208.631` Chr`6` : `28,776,117`	0.491	0.509	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.491	0.509	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.491	0.509	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.491	0.509	0.000
rs13198474 lBF = `116.097` Chr`6` : `25,874,423`	0.490	0.510	0.000
rs3118361 lBF = `208.226` Chr`6` : `28,898,287`	0.490	0.510	0.000
rs3749971 lBF = `211.982` Chr`6` : `29,342,775`	0.490	0.510	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.489	0.510	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.489	0.511	0.000
rs13195040 lBF = `183.66` Chr`6` : `27,413,924`	0.489	0.511	0.000
rs1324088 lBF = `94.6116` Chr`6` : `25,841,122`	0.489	0.511	0.000
rs3135296 lBF = `190.167` Chr`6` : `28,795,856`	0.489	0.511	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.489	0.511	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.489	0.511	0.000
rs114101798 lBF = `17.9738` Chr`3` : `135,286,950`	0.489	0.511	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.489	0.511	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.488	0.511	0.000
rs3132392 lBF = `212.95` Chr`6` : `28,838,629`	0.488	0.512	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.487	0.513	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.487	0.513	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.487	0.513	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.486	0.513	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.486	0.514	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.486	0.514	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.486	0.514	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.485	0.514	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.485	0.515	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.485	0.515	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.485	0.515	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 X0339

log Bayes Factor = 56.078

contains 2 variants

0.8438

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9915

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9778

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.9685

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8929

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8915

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8853

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8335

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8261

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8018

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8012

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7807

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7786

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7684

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7677

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7666

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.7659

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7561

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7549

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7407

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7288

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7224

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7213

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7161

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7135

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7125

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7112

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7055

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6973

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6947

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6907

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6867

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6851

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6808

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6774

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6762

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6756

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6680

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6601

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6589

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6546

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6544

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6539

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6538

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6488

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6472

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6467

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6444

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6421

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6397

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6396

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6273

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6237

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6182

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6163

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6155

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6074

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6032

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5992

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5947

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5935

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5910

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5894

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5881

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5867

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5862

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5854

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5816

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.5805

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5765

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5621

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5555

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5539

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5529

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5439

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5379

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5358

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5323

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5148

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5118

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5106

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5089

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5083

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5071

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5057

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4983

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4824

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4812

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4809

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4778

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4768

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4762

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4708

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4659

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4626

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4576

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4570

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4489

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4453

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4434

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4412

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4388

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4369

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4364

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4343

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4343

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4303

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4171

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4059

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4040

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3991

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3984

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3933

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3933

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3879

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3800

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3720

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3681

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3609

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3609

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3468

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3362

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3293

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3274

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3238

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3204

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3160

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3149

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3068

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3017

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2999

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2892

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2858

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2714

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2710

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2707

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2678

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2603

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2531

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2525

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2497

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2407

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2352

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2292

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2287

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2270

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2167

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2116

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2045

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2000

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1970

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1932

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1928

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1865

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1813

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1805

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1713

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1622

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1578

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1538

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1518

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1422

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1360

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1281

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1270

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1197

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1135

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1066

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1061

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0986

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0956

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0954

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0903

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0882

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0870

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0862

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0789

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0744

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0715

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0709

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0689

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0616

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0570

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0563

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0515

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.0506

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`)