TreeWAS – [Y84.6] Urinary catheterisation

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
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.944	0.056	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.941	0.059	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.893	0.107	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.889	0.111	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.882	0.118	0.000
rs1035977 lBF = `8.7775` Chr`2` : `57,232,308`	0.880	0.120	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.875	0.125	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.874	0.126	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.867	0.133	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.863	0.137	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.854	0.146	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.854	0.146	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.853	0.147	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.850	0.150	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.835	0.165	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.833	0.167	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.830	0.170	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.829	0.171	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.829	0.171	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.827	0.172	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.173	0.827
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.826	0.174	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.823	0.177	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.822	0.178	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.822	0.178	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.818	0.182	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.817	0.183	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.811	0.189	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.811	0.189	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.806	0.194	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.805	0.195	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.804	0.196	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.803	0.197	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.803	0.197	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.799	0.201	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.797	0.203	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.797	0.203	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.796	0.204	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.792	0.208	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.791	0.209	0.000
rs117754643 lBF = `10.4271` Chr`6` : `134,436,451`	0.790	0.210	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.790	0.210	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.788	0.212	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.788	0.212	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.785	0.215	0.000
rs114101798 lBF = `17.9738` Chr`3` : `135,286,950`	0.784	0.216	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.782	0.218	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.781	0.219	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.779	0.221	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.779	0.221	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.777	0.223	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.774	0.226	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.772	0.228	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.772	0.228	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.767	0.233	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.767	0.233	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.766	0.234	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.766	0.234	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.765	0.235	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.764	0.236	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.763	0.237	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.763	0.237	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.762	0.238	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.761	0.239	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.761	0.239	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.761	0.239	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.761	0.239	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.760	0.240	0.000
rs11230874 lBF = `4.32584` Chr`11` : `61,795,586`	0.759	0.241	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.756	0.244	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.755	0.245	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.755	0.245	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.754	0.246	0.000
rs9267532 lBF = `5.4348` Chr`6` : `31,639,979`	0.753	0.247	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.753	0.247	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.753	0.247	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.750	0.250	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.749	0.251	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.749	0.251	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.749	0.251	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.748	0.252	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.745	0.255	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.744	0.256	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.743	0.257	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.743	0.257	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.742	0.258	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.741	0.259	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.741	0.259	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.740	0.260	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.739	0.261	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.738	0.262	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.736	0.264	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.736	0.264	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.736	0.264	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.735	0.265	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.735	0.265	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.734	0.266	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.732	0.268	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.731	0.269	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.731	0.269	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.730	0.270	0.000
rs400547 lBF = `5.30378` Chr`6` : `31,702,710`	0.730	0.270	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.729	0.271	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.728	0.272	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.727	0.273	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.727	0.273	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.724	0.276	0.000
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.724	0.276	0.000
rs9267536 lBF = `15.2088` Chr`6` : `31,651,194`	0.724	0.276	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.723	0.277	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.723	0.277	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.723	0.277	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.722	0.278	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.721	0.279	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.720	0.280	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.719	0.281	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.717	0.283	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.716	0.284	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.716	0.284	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.716	0.284	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.715	0.285	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.715	0.285	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.714	0.286	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.713	0.287	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.713	0.287	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.712	0.288	0.000
rs12196211 lBF = `21.642` Chr`6` : `31,449,041`	0.710	0.290	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.709	0.291	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.709	0.291	0.000
rs7446359 lBF = `1.46394` Chr`5` : `127,890,720`	0.709	0.291	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.708	0.291	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.708	0.292	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.708	0.292	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.706	0.294	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.706	0.294	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.704	0.296	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.702	0.298	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.702	0.298	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.702	0.298	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.701	0.299	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.699	0.301	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.699	0.301	0.000
rs34441152 lBF = `19.4411` Chr`6` : `31,410,072`	0.699	0.301	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.696	0.304	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.696	0.304	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.695	0.305	0.000
rs17086702 lBF = `3.80311` Chr`6` : `156,150,733`	0.695	0.305	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.694	0.305	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.694	0.306	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.694	0.306	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.694	0.306	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.692	0.308	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.692	0.308	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.691	0.309	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.691	0.309	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.691	0.309	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.690	0.310	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.690	0.310	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.687	0.313	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.687	0.313	0.000
rs707915 lBF = `5.32824` Chr`6` : `31,710,968`	0.687	0.313	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.686	0.313	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.686	0.314	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.686	0.314	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.686	0.314	0.000
rs149291579 lBF = `9.43145` Chr`1` : `79,240,882`	0.684	0.316	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.684	0.316	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.684	0.316	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.684	0.316	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.683	0.317	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.683	0.317	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.682	0.318	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.682	0.318	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.682	0.318	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.681	0.319	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.680	0.320	0.000
rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.680	0.320	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.679	0.321	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.679	0.321	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.678	0.322	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.677	0.323	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.677	0.323	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.676	0.324	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.675	0.324	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.675	0.325	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.675	0.325	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.674	0.326	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.674	0.326	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.674	0.326	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.674	0.326	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.673	0.327	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.673	0.327	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.673	0.327	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.672	0.328	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.672	0.328	0.000
rs75617879 lBF = `7.44483` Chr`6` : `2,197,935`	0.671	0.329	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.671	0.329	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.671	0.329	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.671	0.329	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.670	0.330	0.000
rs35163515 lBF = `19.5869` Chr`6` : `31,434,968`	0.670	0.330	0.000
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.670	0.330	0.000
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rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.668	0.332	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.667	0.333	0.000
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rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.663	0.337	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.663	0.337	0.000
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rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.662	0.338	0.000
rs116269252 lBF = `19.828` Chr`6` : `31,326,790`	0.662	0.338	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.662	0.338	0.000
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rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.659	0.341	0.000
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rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.655	0.345	0.000
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rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.649	0.351	0.000
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rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.649	0.351	0.000
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rs116738814 lBF = `21.0352` Chr`6` : `31,326,566`	0.640	0.360	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.639	0.361	0.000
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rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.636	0.364	0.000
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rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.613	0.387	0.000
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rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.612	0.388	0.000
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rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.591	0.409	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.590	0.409	0.000
rs77135516 lBF = `13.8756` Chr`1` : `229,994,958`	0.590	0.410	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.590	0.410	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.590	0.410	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.590	0.410	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.589	0.411	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.589	0.411	0.000
rs73023170 lBF = `12.1533` Chr`3` : `11,630,099`	0.588	0.411	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.588	0.412	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.588	0.412	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.587	0.412	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.587	0.413	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.587	0.413	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.587	0.413	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.587	0.413	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.586	0.413	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.586	0.414	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.586	0.414	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.586	0.414	0.000
rs71563311 lBF = `20.1258` Chr`6` : `31,136,994`	0.585	0.415	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.585	0.415	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.585	0.415	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.585	0.415	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.585	0.415	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.584	0.416	0.000
rs112008915 lBF = `8.98796` Chr`1` : `243,118,409`	0.584	0.416	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.584	0.416	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.584	0.416	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.583	0.417	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.583	0.417	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.582	0.418	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.582	0.418	0.000
rs115699453 lBF = `7.67843` Chr`1` : `156,827,703`	0.581	0.418	0.000
rs2233940 lBF = `19.3841` Chr`6` : `31,107,922`	0.581	0.418	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.581	0.419	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.581	0.419	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.581	0.419	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.580	0.420	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.580	0.420	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.580	0.420	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.579	0.421	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.579	0.421	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.578	0.422	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.578	0.422	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.578	0.422	0.000
rs33941312 lBF = `22.8037` Chr`6` : `31,084,191`	0.577	0.423	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.576	0.423	0.000
rs2826762 lBF = `7.61206` Chr`21` : `22,649,414`	0.576	0.424	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.574	0.426	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.574	0.426	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.573	0.427	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.573	0.427	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.573	0.427	0.000
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.572	0.428	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.572	0.428	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.571	0.429	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.571	0.429	0.000
rs36001438 lBF = `20.6978` Chr`6` : `31,186,378`	0.571	0.429	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.571	0.429	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.571	0.429	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.570	0.430	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.570	0.430	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.570	0.430	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.570	0.430	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.569	0.431	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.569	0.431	0.000
rs75578006 lBF = `5.03035` Chr`1` : `21,346,104`	0.569	0.431	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.568	0.432	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.568	0.432	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.568	0.432	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.567	0.432	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.567	0.433	0.000
rs12215963 lBF = `20.8881` Chr`6` : `31,138,619`	0.566	0.434	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.566	0.434	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.566	0.434	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.566	0.434	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.566	0.434	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.565	0.435	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.565	0.435	0.000
rs117293402 lBF = `14.7593` Chr`6` : `110,946,140`	0.565	0.435	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.565	0.435	0.000
rs72948168 lBF = `6.34748` Chr`2` : `159,761,508`	0.564	0.436	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.564	0.436	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.564	0.436	0.000
rs12074980 lBF = `15.0721` Chr`1` : `184,636,516`	0.563	0.437	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.563	0.437	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.563	0.437	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.562	0.438	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.561	0.439	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.561	0.439	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.561	0.439	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.560	0.440	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.560	0.440	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.560	0.440	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.560	0.440	0.000
rs3117761 lBF = `17.5062` Chr`1` : `177,722,715`	0.560	0.440	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.8267

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2535

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9997

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9988

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9916

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9864

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9852

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9808

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9798

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9765

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9676

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9484

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9477

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9440

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9224

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9211

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9196

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9170

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9138

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9126

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9087

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9017

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8881

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8782

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8764

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8668

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8638

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8613

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8598

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8401

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8319

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8253

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8212

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8150

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8087

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7987

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7982

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7956

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7721

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7716

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7711

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7702

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7686

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7664

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7658

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7637

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7596

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7429

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7335

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7324

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7288

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7172

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7042

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7037

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6975

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6905

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6861

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6780

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6778

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6632

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6452

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6154

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6070

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5864

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5757

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5548

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5512

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5422

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5097

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4937

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4907

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4834

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4704

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4676

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4664

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4664

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4430

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4400

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4317

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4296

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4227

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4194

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3968

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3894

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3790

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3778

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3770

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3759

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3692

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3511

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3502

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3448

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3429

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3380

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3360

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3158

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3089

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3064

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2883

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2854

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2677

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2651

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2632

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2505

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2491

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2487

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2269

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2148

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1912

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1862

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1839

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1835

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1811

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1782

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1697

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1689

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1625

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1574

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1298

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1281

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1263

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1158

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1134

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1102

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1092

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1061

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0972

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0955

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0951

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0882

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0875

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0781

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0772

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0772

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0758

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0750

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0744

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0695

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0692

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0648

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0641

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0577

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0567

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0529

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0502

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`)