TreeWAS – [D30.1] Renal pelvis

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
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.648	0.352	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.647	0.353	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.617	0.383	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.617	0.383	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.610	0.390	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.607	0.393	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.607	0.393	0.000
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.394	0.606
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.602	0.398	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.601	0.399	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.597	0.402	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.593	0.407	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.590	0.410	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.585	0.414	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.584	0.416	0.000
rs2853677 lBF = `56.6519` Chr`5` : `1,287,194`	0.583	0.417	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.582	0.418	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.582	0.418	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.581	0.419	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.579	0.421	0.000
rs7545047 lBF = `5.30446` Chr`1` : `162,191,103`	0.578	0.421	0.000
rs4352416 lBF = `12.7022` Chr`3` : `169,554,084`	0.000	0.427	0.573
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	0.571	0.429	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.571	0.429	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.570	0.430	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.569	0.431	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.566	0.434	0.000
rs1317082 lBF = `18.6518` Chr`3` : `169,497,585`	0.000	0.434	0.566
rs10936599 lBF = `19.9134` Chr`3` : `169,492,101`	0.000	0.434	0.565
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.564	0.435	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.564	0.436	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.564	0.436	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.561	0.439	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.560	0.439	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.560	0.440	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.560	0.440	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.559	0.441	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.559	0.441	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.558	0.441	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.558	0.441	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.558	0.442	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.558	0.442	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.557	0.443	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.555	0.445	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.555	0.445	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.554	0.445	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.553	0.446	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.552	0.448	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.552	0.448	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.551	0.449	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.550	0.450	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.547	0.452	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.546	0.454	0.000
rs12696304 lBF = `14.3492` Chr`3` : `169,481,271`	0.000	0.454	0.546
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.544	0.456	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.544	0.456	0.000
rs4865860 lBF = `6.73256` Chr`5` : `53,979,211`	0.542	0.457	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.542	0.458	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.542	0.458	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.541	0.458	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.541	0.459	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.540	0.460	0.000
rs78686102 lBF = `9.9163` Chr`5` : `56,152,795`	0.540	0.460	0.000
rs10890839 lBF = `6.35047` Chr`11` : `108,306,236`	0.540	0.460	0.000
rs72878024 lBF = `21.0711` Chr`11` : `199,492`	0.000	0.460	0.540
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.539	0.461	0.000
rs76485124 lBF = `10.1523` Chr`5` : `56,060,400`	0.538	0.462	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.538	0.462	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.537	0.462	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.537	0.463	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.537	0.463	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.537	0.463	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.536	0.464	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.535	0.465	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.534	0.466	0.000
rs2229882 lBF = `21.8948` Chr`5` : `56,168,712`	0.534	0.466	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.534	0.466	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.533	0.466	0.000
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.533	0.466	0.000
rs7726354 lBF = `16.6785` Chr`5` : `56,256,483`	0.533	0.467	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.532	0.468	0.000
rs7828067 lBF = `8.85726` Chr`8` : `117,796,195`	0.532	0.468	0.000
Affx-31406520 lBF = `9.74408` Chr`8` : `117,783,975`	0.532	0.468	0.000
rs12638862 lBF = `16.7207` Chr`3` : `169,477,506`	0.000	0.468	0.531
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.531	0.469	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.530	0.469	0.000
rs116485796 lBF = `8.88422` Chr`3` : `133,612,103`	0.528	0.472	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.527	0.472	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.527	0.473	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.526	0.474	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.525	0.475	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.525	0.475	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.524	0.476	0.000
rs10936601 lBF = `13.6071` Chr`3` : `169,528,449`	0.000	0.476	0.524
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.523	0.477	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.522	0.478	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.521	0.479	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.521	0.479	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.520	0.480	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.520	0.480	0.000
rs1920116 lBF = `10.5672` Chr`3` : `169,579,971`	0.000	0.480	0.520
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.519	0.480	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.519	0.481	0.000
rs1800057 lBF = `17.8656` Chr`11` : `108,143,456`	0.519	0.481	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.518	0.482	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.517	0.482	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.517	0.483	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.517	0.483	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.516	0.483	0.000
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.515	0.484	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.515	0.485	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.514	0.485	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.514	0.486	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.514	0.486	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.514	0.486	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.514	0.486	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.514	0.486	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.514	0.486	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.514	0.486	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.514	0.486	0.000
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.514	0.486	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.514	0.486	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.514	0.486	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.514	0.486	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.514	0.486	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.514	0.486	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.514	0.486	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.514	0.486	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.514	0.486	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.514	0.486	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.514	0.486	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.514	0.486	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.514	0.486	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.514	0.486	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.514	0.486	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.514	0.486	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.514	0.486	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.514	0.486	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.514	0.486	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.514	0.486	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.514	0.486	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.514	0.486	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.514	0.486	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.514	0.486	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.514	0.486	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.514	0.486	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.514	0.486	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.513	0.486	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.513	0.486	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.513	0.486	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.513	0.486	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.513	0.486	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.513	0.486	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.513	0.486	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.513	0.486	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.513	0.487	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.513	0.487	0.000
rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.513	0.487	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.513	0.487	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.513	0.487	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.513	0.487	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.513	0.487	0.000
rs114249449 lBF = `15.308` Chr`1` : `39,257,678`	0.513	0.487	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.513	0.487	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.513	0.487	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.513	0.487	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.513	0.487	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.513	0.487	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.513	0.487	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.513	0.487	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.513	0.487	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.513	0.487	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.513	0.487	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.513	0.487	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.513	0.487	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.513	0.487	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.512	0.487	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.513	0.487	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.512	0.487	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.512	0.487	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.512	0.487	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.512	0.487	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.512	0.487	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.512	0.488	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.512	0.488	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.512	0.488	0.000
rs117250828 lBF = `5.12033` Chr`11` : `12,193,257`	0.512	0.488	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.512	0.488	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.512	0.488	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.512	0.488	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.512	0.488	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.512	0.488	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.512	0.488	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.512	0.488	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.512	0.488	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.512	0.488	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.512	0.488	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.512	0.488	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.512	0.488	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.512	0.488	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.511	0.488	0.000
rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.511	0.488	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.511	0.488	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.511	0.488	0.000
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rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.489	0.510	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.489	0.510	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.489	0.510	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.489	0.511	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.489	0.511	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.489	0.511	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.489	0.511	0.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	0.489	0.511	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.489	0.511	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.489	0.511	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.489	0.511	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.488	0.511	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.488	0.512	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.488	0.512	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.488	0.512	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.487	0.513	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.487	0.513	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.487	0.513	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.487	0.513	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.486	0.513	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.486	0.514	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.486	0.514	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.486	0.514	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.486	0.514	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.485	0.514	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.485	0.514	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.485	0.514	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.485	0.515	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.485	0.515	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.484	0.515	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.484	0.516	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.484	0.516	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.484	0.516	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.484	0.516	0.000
rs7725218 lBF = `34.4239` Chr`5` : `1,282,414`	0.483	0.517	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.483	0.517	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.482	0.517	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.482	0.517	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.482	0.518	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.482	0.518	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.482	0.518	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.482	0.518	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.482	0.518	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.481	0.519	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.481	0.519	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.481	0.519	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.480	0.520	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.480	0.520	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.480	0.520	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.480	0.520	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.480	0.520	0.000
rs2853676 lBF = `19.1781` Chr`5` : `1,288,547`	0.480	0.520	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.479	0.521	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
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	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
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.478	0.521	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.478	0.522	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.478	0.522	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.478	0.522	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.477	0.522	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.477	0.523	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.477	0.523	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.477	0.523	0.000
rs76570619 lBF = `1.1837` Chr`1` : `113,246,730`	0.477	0.523	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	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
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.476	0.523	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.476	0.524	0.000
rs74349453 lBF = `15.9746` Chr`2` : `43,057,069`	0.476	0.524	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.476	0.524	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.476	0.524	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.475	0.524	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.475	0.525	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.475	0.525	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.475	0.525	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.475	0.525	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.474	0.525	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.474	0.526	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.474	0.526	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.474	0.526	0.000
rs16886113 lBF = `13.5424` Chr`5` : `55,995,035`	0.474	0.526	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.474	0.526	0.000
rs186507655 lBF = `20.9052` Chr`1` : `1,287,055`	0.474	0.526	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.473	0.526	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.473	0.527	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.473	0.527	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.473	0.527	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.473	0.527	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.473	0.527	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

0.5013

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1364

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7167

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7103

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6982

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6916

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6903

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6898

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6864

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6815

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6792

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6729

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6684

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6632

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6617

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6604

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6504

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6502

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6493

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6491

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6458

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6456

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6429

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6425

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6404

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6389

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6327

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6312

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6304

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6298

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6290

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6289

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6263

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6250

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6245

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6226

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6173

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6167

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6158

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6128

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6128

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6124

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6120

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6118

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6105

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6103

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6084

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6083

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6003

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5994

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5979

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5936

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5930

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5892

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5884

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5839

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5828

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5800

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5799

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5770

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5734

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5730

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5723

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5697

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5696

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5687

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5680

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5651

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5629

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5603

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5585

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5572

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5555

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5553

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5505

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5456

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5435

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5434

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5429

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5428

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5417

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5405

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5405

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5394

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5371

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5358

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5336

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5326

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5254

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5159

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5139

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5138

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5115

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5097

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5090

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4987

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4797

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4797

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4775

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4738

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4734

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4591

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4548

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4526

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4458

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.4416

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4381

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4381

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4305

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4205

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3959

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3895

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3763

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3321

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3204

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3194

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3089

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2963

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2842

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2795

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2795

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2787

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2659

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2659

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2598

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2481

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2269

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2127

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1986

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1721

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1705

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1679

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1584

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1248

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0933

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0893

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0890

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0789

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0767

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0655

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0646

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0632

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0621

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0570

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0565

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0514

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0507

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`)