TreeWAS – [K38.2] Diverticulum of appendix

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
rs11931959 lBF = `18.8103` Chr`4` : `111,719,685`	0.692	0.308	0.000
rs13141190 lBF = `36.6768` Chr`4` : `111,728,614`	0.673	0.327	0.000
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.650	0.350	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.607	0.393	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.598	0.402	0.000
rs537160 lBF = `213.027` Chr`6` : `31,916,400`	0.596	0.404	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.591	0.409	0.000
rs6843082 lBF = `86.0876` Chr`4` : `111,718,067`	0.587	0.412	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.586	0.414	0.000
rs440454 lBF = `233.155` Chr`6` : `31,927,342`	0.580	0.420	0.000
rs486416 lBF = `185.353` Chr`6` : `31,856,070`	0.579	0.421	0.000
rs115484013 lBF = `278.669` Chr`6` : `32,452,707`	0.573	0.427	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.572	0.428	0.000
rs389883 lBF = `240.061` Chr`6` : `31,947,460`	0.571	0.429	0.000
rs419788 lBF = `237.889` Chr`6` : `31,928,799`	0.568	0.432	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.568	0.432	0.000
rs76866386 lBF = `271.964` Chr`2` : `44,075,483`	0.567	0.433	0.000
rs72875462 lBF = `236.37` Chr`2` : `44,079,310`	0.566	0.434	0.000
rs437179 lBF = `234.386` Chr`6` : `31,929,014`	0.566	0.434	0.000
rs630379 lBF = `243.642` Chr`6` : `31,922,254`	0.565	0.435	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.564	0.436	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.561	0.439	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.560	0.440	0.000
rs410851 lBF = `239.5` Chr`6` : `31,936,668`	0.560	0.440	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.559	0.441	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.558	0.442	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	0.557	0.443	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.556	0.444	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.554	0.446	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.554	0.446	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.549	0.451	0.000
rs11671664 lBF = `3.73026` Chr`19` : `46,172,278`	0.548	0.452	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.547	0.452	0.000
rs6756629 lBF = `240.567` Chr`2` : `44,065,090`	0.547	0.452	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.547	0.453	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.546	0.454	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.545	0.454	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.544	0.456	0.000
Affx-20089987 lBF = `239.985` Chr`2` : `44,065,090`	0.543	0.457	0.000
rs11887534 lBF = `270.519` Chr`2` : `44,066,247`	0.541	0.459	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.541	0.459	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.541	0.459	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.540	0.459	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.538	0.462	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.538	0.462	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.538	0.462	0.000
rs605203 lBF = `185.516` Chr`6` : `31,847,012`	0.537	0.463	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.535	0.465	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.534	0.466	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.533	0.466	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.533	0.467	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.533	0.467	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.532	0.468	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.531	0.469	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.530	0.470	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.529	0.470	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.529	0.471	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.528	0.472	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.527	0.472	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.526	0.474	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.525	0.475	0.000
Affx-20090007 lBF = `271.258` Chr`2` : `44,066,247`	0.525	0.475	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.525	0.475	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.524	0.476	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.522	0.478	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.522	0.478	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.522	0.478	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.522	0.478	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.520	0.479	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.520	0.480	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.520	0.480	0.000
rs659445 lBF = `187.083` Chr`6` : `31,864,304`	0.520	0.480	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.520	0.480	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.519	0.481	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.519	0.481	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.518	0.482	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.517	0.483	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.517	0.483	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.516	0.484	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.515	0.485	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.515	0.485	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.514	0.486	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.514	0.486	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.513	0.487	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.512	0.487	0.000
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.512	0.487	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.512	0.488	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.510	0.490	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.509	0.491	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.509	0.491	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.509	0.491	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.509	0.491	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.507	0.493	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.507	0.493	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.507	0.493	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.505	0.495	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.503	0.497	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.503	0.497	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.503	0.497	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.502	0.497	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.502	0.498	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.501	0.499	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.501	0.499	0.000
rs140711597 lBF = `1.13986` Chr`3` : `48,469,441`	0.499	0.501	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.499	0.501	0.000
rs2634074 lBF = `82.5116` Chr`4` : `111,677,041`	0.000	0.501	0.499
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.498	0.501	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.498	0.502	0.000
rs1602084 lBF = `1.34728` Chr`4` : `128,843,480`	0.498	0.502	0.000
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.498	0.502	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.498	0.502	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.497	0.503	0.000
rs1887284 lBF = `14.8007` Chr`1` : `1,487,059`	0.497	0.503	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.496	0.503	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.495	0.505	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.495	0.505	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.494	0.506	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.494	0.506	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.493	0.506	0.000
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.493	0.507	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.493	0.507	0.000
rs73730372 lBF = `80.3636` Chr`6` : `32,584,581`	0.000	0.507	0.492
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.492	0.507	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.492	0.508	0.000
rs41360247 lBF = `243.711` Chr`2` : `44,073,656`	0.492	0.508	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.492	0.508	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.491	0.509	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.491	0.509	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.491	0.509	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.490	0.510	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.490	0.510	0.000
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	0.487	0.513	0.000
rs3816989 lBF = `5.81132` Chr`1` : `67,242,087`	0.487	0.513	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.487	0.513	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.487	0.513	0.000
rs205000 lBF = `21.2147` Chr`6` : `32,135,878`	0.486	0.514	0.000
rs114162361 lBF = `7.44447` Chr`1` : `174,575,642`	0.486	0.514	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.486	0.514	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.485	0.515	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.485	0.515	0.000
rs116367285 lBF = `12.3707` Chr`3` : `65,094,139`	0.485	0.515	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.485	0.515	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.485	0.515	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.485	0.515	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.484	0.515	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.484	0.516	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.484	0.516	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.484	0.516	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.484	0.516	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.484	0.516	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.483	0.516	0.000
rs1060575 lBF = `10.7686` Chr`1` : `67,236,097`	0.483	0.517	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.483	0.517	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.483	0.517	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.482	0.518	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.482	0.518	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.482	0.518	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.482	0.518	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.481	0.519	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.480	0.519	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.480	0.520	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.479	0.520	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.478	0.522	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.478	0.522	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.478	0.522	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.477	0.523	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.477	0.523	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.477	0.523	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.476	0.523	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.476	0.524	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.476	0.524	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.476	0.524	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.476	0.524	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.475	0.524	0.000
rs521977 lBF = `212.79` Chr`6` : `31,836,827`	0.476	0.524	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.475	0.524	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.475	0.525	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.475	0.525	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.474	0.526	0.000
rs1539454 lBF = `14.3346` Chr`1` : `219,983,780`	0.474	0.526	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.474	0.526	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.473	0.526	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.473	0.527	0.000
rs302972 lBF = `19.5862` Chr`6` : `25,120,787`	0.473	0.527	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.472	0.528	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.472	0.528	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.472	0.528	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.471	0.528	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.471	0.529	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.470	0.529	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.470	0.530	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.470	0.530	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.470	0.530	0.000
rs9835928 lBF = `17.3241` Chr`3` : `114,296,725`	0.470	0.530	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.469	0.530	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.469	0.530	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.469	0.530	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.469	0.531	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.469	0.531	0.000
rs6901541 lBF = `390.408` Chr`6` : `32,442,261`	0.469	0.531	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.468	0.532	0.000
rs28584179 lBF = `81.4202` Chr`6` : `32,626,119`	0.000	0.532	0.468
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.467	0.533	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.467	0.533	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.467	0.533	0.000
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rs114198627 lBF = `18.7376` Chr`6` : `31,195,009`	0.424	0.575	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.424	0.576	0.000
rs3130837 lBF = `209.57` Chr`6` : `28,948,092`	0.422	0.576	0.001
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.423	0.577	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.423	0.577	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.423	0.577	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.423	0.577	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.423	0.577	0.000
rs1233619 lBF = `203.327` Chr`6` : `28,745,452`	0.421	0.577	0.002
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.422	0.577	0.000
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.422	0.577	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.422	0.577	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.422	0.578	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.422	0.578	0.000
rs2395162 lBF = `252.734` Chr`6` : `32,387,780`	0.422	0.578	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.421	0.578	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.421	0.578	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.421	0.578	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.421	0.578	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.421	0.579	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.421	0.579	0.000
rs33932084 lBF = `193.061` Chr`6` : `28,268,824`	0.414	0.579	0.007
rs34788973 lBF = `164.209` Chr`6` : `27,879,200`	0.414	0.579	0.007
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.420	0.579	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.420	0.580	0.000
rs75908454 lBF = `2.22788` Chr`6` : `169,970,623`	0.420	0.580	0.000
rs17693963 lBF = `165.192` Chr`6` : `27,710,165`	0.419	0.580	0.001
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.419	0.580	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.419	0.580	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.419	0.581	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.419	0.581	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.419	0.581	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.418	0.581	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.418	0.581	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.418	0.581	0.000
rs3135356 lBF = `253.703` Chr`6` : `32,391,516`	0.418	0.582	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.418	0.582	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.417	0.582	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.417	0.582	0.000
rs3129791 lBF = `212.141` Chr`6` : `28,954,293`	0.417	0.583	0.001
rs41270488 lBF = `32.2739` Chr`6` : `32,407,906`	0.000	0.583	0.417
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.417	0.583	0.000
rs75781704 lBF = `13.7978` Chr`6` : `47,909,123`	0.417	0.583	0.000
rs13217619 lBF = `199.852` Chr`6` : `28,306,671`	0.407	0.584	0.009
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.416	0.584	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.416	0.584	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.416	0.584	0.000
rs79449300 lBF = `14.3722` Chr`6` : `150,224,475`	0.416	0.584	0.000
rs115684255 lBF = `12.9903` Chr`3` : `84,304,714`	0.416	0.584	0.000
rs3130481 lBF = `107.187` Chr`6` : `31,839,756`	0.415	0.584	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.415	0.585	0.000
rs1311918 lBF = `208.355` Chr`6` : `28,753,646`	0.413	0.585	0.003
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.415	0.585	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.415	0.585	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.415	0.585	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.414	0.585	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.414	0.586	0.000
rs3135376 lBF = `255.205` Chr`6` : `32,385,470`	0.414	0.586	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.414	0.586	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.414	0.586	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.414	0.586	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.413	0.586	0.000
rs3096691 lBF = `52.4329` Chr`6` : `32,194,854`	0.000	0.587	0.413
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.413	0.587	0.000
rs16832889 lBF = `1.1864` Chr`3` : `181,851,284`	0.413	0.587	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.413	0.587	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.413	0.587	0.000
rs2001097 lBF = `255.017` Chr`6` : `32,383,858`	0.412	0.587	0.000
rs6930571 lBF = `253.113` Chr`6` : `32,383,208`	0.412	0.587	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.412	0.587	0.000
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.412	0.587	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.412	0.587	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.412	0.587	0.000
rs3135366 lBF = `253.084` Chr`6` : `32,388,709`	0.412	0.588	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.412	0.588	0.000
rs3118357 lBF = `210.247` Chr`6` : `28,802,149`	0.408	0.588	0.004
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.412	0.588	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.412	0.588	0.000
rs79143957 lBF = `12.6617` Chr`3` : `23,125,989`	0.412	0.588	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.411	0.588	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.411	0.589	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.411	0.589	0.000
rs6930933 lBF = `254.18` Chr`6` : `32,383,410`	0.411	0.589	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.411	0.589	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.411	0.589	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.410	0.589	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.410	0.590	0.000
rs7767099 lBF = `208.838` Chr`6` : `28,768,698`	0.406	0.590	0.004
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.410	0.590	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.410	0.590	0.000
rs3131343 lBF = `208.216` Chr`6` : `28,775,564`	0.407	0.590	0.003
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.410	0.590	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0885

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7133

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7128

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7086

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7038

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7035

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7019

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6994

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6969

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6965

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6945

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6892

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6863

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6833

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6816

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6706

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6634

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6534

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6509

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6503

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6495

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6474

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6441

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6435

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6312

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6305

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6260

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6235

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6219

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6143

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6138

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6129

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6126

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6125

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6123

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6070

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5986

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5978

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5965

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5935

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5922

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5921

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5917

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5913

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.5874

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5771

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5745

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5725

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5620

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5615

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5594

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5589

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5575

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5557

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5552

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5525

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5405

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5398

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5374

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5329

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5269

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5253

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5225

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5171

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5148

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5055

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5032

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4976

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4906

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4902

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4884

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4791

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4783

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4719

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4667

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4600

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4543

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4486

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4449

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4421

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4411

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4388

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4124

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4123

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4045

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4037

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4022

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4011

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4000

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3986

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3915

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3915

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3894

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3855

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3818

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3768

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3503

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3501

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3446

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3375

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3316

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3291

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3287

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3245

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3232

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3081

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3068

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3064

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3021

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3021

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2997

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2926

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2854

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2827

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2809

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2723

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2676

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2659

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2654

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2607

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2571

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2488

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2442

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2381

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2369

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2157

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2126

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1998

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1949

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1923

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1911

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1866

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1861

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1805

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1764

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1536

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1427

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1420

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1401

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1393

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1323

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1323

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1245

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1237

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1209

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1200

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1092

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1057

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0968

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0858

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0818

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0710

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0679

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0675

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0635

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0616

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`)