TreeWAS – [T83.1] Mechanical complication of other urinary devices and implants

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
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.922	0.078	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.887	0.113	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.886	0.114	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.879	0.121	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.876	0.124	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.872	0.128	0.000
rs114927259 lBF = `6.36727` Chr`2` : `108,678,685`	0.871	0.129	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.871	0.129	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.862	0.138	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.854	0.146	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.852	0.148	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.843	0.157	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.839	0.161	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.835	0.165	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.833	0.167	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.831	0.169	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.827	0.173	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.824	0.176	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.820	0.180	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.818	0.182	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.817	0.183	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.817	0.183	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.816	0.184	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.813	0.187	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.812	0.188	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.812	0.188	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.809	0.191	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.806	0.194	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.806	0.194	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.805	0.195	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.802	0.198	0.000
rs114694170 lBF = `1.13651` Chr`5` : `88,180,196`	0.802	0.198	0.000
rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.801	0.199	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.800	0.200	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.799	0.201	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.797	0.203	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.797	0.203	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.797	0.203	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.797	0.203	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.797	0.203	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.796	0.204	0.000
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.795	0.205	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.795	0.205	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.794	0.206	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.794	0.206	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.794	0.206	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.792	0.208	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.791	0.209	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.791	0.209	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.790	0.210	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.789	0.211	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.788	0.212	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.787	0.213	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.787	0.213	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.786	0.214	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.784	0.216	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.784	0.216	0.000
rs9267536 lBF = `15.2088` Chr`6` : `31,651,194`	0.783	0.217	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.782	0.218	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.780	0.220	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.779	0.221	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.779	0.221	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.779	0.221	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.778	0.222	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.778	0.222	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.776	0.224	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.775	0.225	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.775	0.225	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.774	0.226	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.773	0.227	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.770	0.230	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.769	0.231	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.769	0.231	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.769	0.231	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.769	0.231	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.769	0.231	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.768	0.232	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.766	0.233	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.765	0.235	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.764	0.236	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.763	0.237	0.000
rs4406273 lBF = `144.316` Chr`6` : `31,266,090`	0.761	0.239	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.759	0.241	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.758	0.242	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.757	0.243	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.757	0.243	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.756	0.244	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.756	0.244	0.000
rs28894993 lBF = `144.276` Chr`6` : `31,289,714`	0.756	0.244	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.755	0.245	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.755	0.245	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.755	0.245	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.754	0.246	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.753	0.247	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.753	0.247	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.752	0.248	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.750	0.250	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.749	0.251	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.749	0.251	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.747	0.253	0.000
rs9267532 lBF = `5.4348` Chr`6` : `31,639,979`	0.746	0.254	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.745	0.255	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.744	0.256	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.744	0.256	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.744	0.256	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.744	0.256	0.000
rs79203142 lBF = `7.84134` Chr`11` : `21,308,589`	0.744	0.256	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.743	0.257	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.743	0.257	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.741	0.259	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.741	0.259	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.740	0.260	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.740	0.260	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.739	0.261	0.000
rs118068306 lBF = `14.8013` Chr`3` : `14,273,131`	0.739	0.261	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.737	0.263	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.737	0.263	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.735	0.265	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.735	0.265	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.735	0.265	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.734	0.266	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.734	0.266	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.734	0.266	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.734	0.266	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.734	0.266	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.733	0.267	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.733	0.267	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.732	0.268	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.731	0.269	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.731	0.269	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.730	0.270	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.728	0.272	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.726	0.274	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.726	0.274	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.725	0.275	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.725	0.275	0.000
rs397081 lBF = `8.41448` Chr`6` : `32,192,617`	0.725	0.275	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.724	0.276	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.724	0.276	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.723	0.277	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.721	0.278	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.721	0.279	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.721	0.279	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.720	0.280	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.720	0.280	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.719	0.281	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.718	0.282	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.718	0.282	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.718	0.282	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.717	0.283	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.716	0.284	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.716	0.284	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.716	0.284	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.716	0.284	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.715	0.285	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.715	0.285	0.000
rs12199223 lBF = `141.245` Chr`6` : `31,242,731`	0.715	0.285	0.000
rs13180087 lBF = `2.35122` Chr`5` : `45,265,768`	0.714	0.285	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.714	0.286	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.714	0.286	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.714	0.286	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.711	0.288	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.711	0.289	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.711	0.289	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.711	0.289	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.710	0.290	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.710	0.290	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.709	0.290	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.709	0.291	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.709	0.291	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.708	0.292	0.000
rs17545824 lBF = `6.53432` Chr`5` : `110,877,600`	0.708	0.292	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.708	0.292	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.708	0.292	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.707	0.293	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.707	0.293	0.000
rs75239648 lBF = `14.3267` Chr`1` : `244,855,509`	0.707	0.293	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.706	0.294	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.706	0.294	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.705	0.295	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.705	0.295	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.704	0.295	0.000
rs28732138 lBF = `138.758` Chr`6` : `31,316,699`	0.704	0.296	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.704	0.296	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.703	0.297	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.702	0.297	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.702	0.298	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.702	0.298	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.701	0.299	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.701	0.299	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.701	0.299	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.700	0.300	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.700	0.300	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.700	0.300	0.000
rs1805128 lBF = `7.21284` Chr`21` : `35,821,680`	0.699	0.301	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.699	0.301	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.699	0.301	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.698	0.302	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.696	0.304	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.696	0.304	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.696	0.304	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.695	0.305	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.694	0.306	0.000
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rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.638	0.362	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.637	0.363	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.637	0.363	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.637	0.363	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.636	0.364	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.636	0.364	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.636	0.364	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.636	0.364	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.635	0.365	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.635	0.365	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.635	0.365	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.635	0.365	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.635	0.365	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.634	0.366	0.000
rs17513600 lBF = `7.68406` Chr`5` : `110,152,701`	0.634	0.366	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.634	0.366	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.634	0.366	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.634	0.366	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.634	0.366	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.634	0.366	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.634	0.366	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.633	0.366	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.633	0.367	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.633	0.367	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.633	0.367	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.632	0.368	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.632	0.368	0.000
rs75376680 lBF = `19.3682` Chr`3` : `18,052,434`	0.632	0.368	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.632	0.368	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.632	0.368	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.632	0.368	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.631	0.369	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.630	0.369	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.630	0.369	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.630	0.370	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.630	0.370	0.000
rs1987842 lBF = `5.12272` Chr`2` : `234,928,517`	0.630	0.370	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.630	0.370	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.629	0.370	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.629	0.371	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.629	0.371	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.629	0.371	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.629	0.371	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.628	0.372	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.628	0.372	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.628	0.372	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.628	0.372	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.628	0.372	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.628	0.372	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.628	0.372	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.628	0.372	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.628	0.372	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.628	0.372	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.627	0.373	0.000
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.627	0.373	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.627	0.373	0.000
rs73050577 lBF = `29.1953` Chr`3` : `23,853,409`	0.626	0.374	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.626	0.374	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.626	0.374	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.626	0.374	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.626	0.374	0.000
rs12328732 lBF = `9.34731` Chr`2` : `54,724,992`	0.626	0.374	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.625	0.375	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.625	0.375	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.625	0.375	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.625	0.375	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.625	0.375	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.625	0.375	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.625	0.375	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.625	0.375	0.000
rs12202207 lBF = `21.8317` Chr`6` : `31,053,843`	0.624	0.376	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.624	0.376	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.623	0.377	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.623	0.377	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.623	0.377	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.623	0.377	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.623	0.377	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.623	0.377	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.623	0.377	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.623	0.377	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.623	0.377	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.623	0.377	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.623	0.377	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.623	0.377	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.622	0.377	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.622	0.378	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.622	0.378	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.622	0.378	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.622	0.378	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.622	0.378	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.622	0.378	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.622	0.378	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.622	0.378	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.622	0.378	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.621	0.379	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

0.6875

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2756

Cluster X0116

log Bayes Factor = 12.7289

contains 3 variants

0.0955

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9995

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9989

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9966

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9922

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9916

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9908

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9877

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9870

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9813

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9808

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9780

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9744

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9733

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9730

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9729

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9725

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9720

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9706

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9658

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9632

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9625

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9601

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9562

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9544

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9513

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9511

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9415

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9391

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9387

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9365

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9363

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9353

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9254

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9232

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9186

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9183

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9124

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9117

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9110

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9087

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9079

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9030

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9019

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9018

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8988

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8969

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8960

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8918

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8874

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8837

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8822

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8773

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8738

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8701

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8666

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8653

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8642

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8591

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8582

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8534

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8515

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8510

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8465

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8447

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8383

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8358

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8353

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8335

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8328

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8327

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8316

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8308

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8289

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8272

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8269

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8214

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8202

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8202

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8157

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8111

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8068

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8056

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8042

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8014

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7983

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7972

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7944

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7890

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7808

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7754

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7751

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7681

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7671

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7669

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7581

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7547

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7288

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7285

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7263

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7239

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7213

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7098

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7050

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7008

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6928

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6903

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6859

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6726

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6712

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6695

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6678

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6677

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6631

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6461

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6393

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6347

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6294

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6121

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5744

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5609

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5521

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5497

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5393

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5393

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5124

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5089

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4969

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4797

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4739

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4715

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4470

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4460

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4357

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4338

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4337

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4324

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4229

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4055

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3839

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3706

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3619

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3514

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3501

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3393

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3341

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3335

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3309

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3301

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3263

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3239

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3177

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3064

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2936

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2855

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2682

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2655

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2598

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2581

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2572

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2076

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2073

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1985

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1957

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1904

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1875

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1845

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1685

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1667

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1645

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1221

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1162

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0745

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0693

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0667

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0596

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0572

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0568

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0533

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0506

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)