TreeWAS – [N13.2] Hydronephrosis with renal and ureteral calculous obstruction

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
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.916	0.084	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.880	0.120	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.773	0.227	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.766	0.234	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.764	0.236	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.754	0.246	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.713	0.287	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.710	0.290	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.676	0.324	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.674	0.326	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.672	0.328	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.666	0.334	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.618	0.382	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.615	0.385	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.592	0.408	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.587	0.413	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.572	0.428	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.560	0.440	0.000
rs941823 lBF = `1.21705` Chr`13` : `41,013,977`	0.546	0.454	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.544	0.456	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.523	0.477	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.467	0.533	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.466	0.534	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.428	0.572	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.402	0.598	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.390	0.610	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.386	0.613	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.384	0.616	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.374	0.626	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.369	0.631	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.362	0.638	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.361	0.639	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.359	0.641	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.355	0.645	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.354	0.645	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.352	0.648	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.350	0.650	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.346	0.654	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.341	0.658	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.341	0.659	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.337	0.663	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.335	0.665	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.334	0.666	0.001
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.323	0.677	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.322	0.678	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.313	0.687	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.310	0.689	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.300	0.700	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.297	0.703	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.295	0.705	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.286	0.714	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.285	0.715	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.277	0.723	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.261	0.739	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.257	0.743	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.248	0.752	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.246	0.754	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.244	0.755	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.242	0.758	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.241	0.759	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.235	0.764	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.235	0.765	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.234	0.766	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.227	0.773	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.222	0.778	0.001
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.201	0.799	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.197	0.803	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.188	0.812	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.187	0.813	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.159	0.841	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.155	0.845	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.152	0.848	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.148	0.851	0.001
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.147	0.853	0.001
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.146	0.854	0.001
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.145	0.854	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.134	0.865	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.132	0.868	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.128	0.871	0.001
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.119	0.880	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.119	0.881	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.117	0.883	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.116	0.884	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.116	0.884	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.106	0.894	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.102	0.898	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.094	0.906	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.091	0.908	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.089	0.910	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.083	0.917	0.000
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	0.921	0.079
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.078	0.921	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.076	0.924	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.075	0.925	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.928	0.072
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.066	0.934	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.056	0.944	0.000
rs9599394 lBF = `0.0800155` Chr`13` : `69,659,760`	0.056	0.944	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.053	0.947	0.000
rs17596685 lBF = `0.0331689` Chr`13` : `43,117,201`	0.045	0.955	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.040	0.960	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.038	0.961	0.000
rs1021188 lBF = `0.0320154` Chr`13` : `43,116,133`	0.000	0.963	0.037
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.034	0.966	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.034	0.966	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.026	0.974	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.026	0.974	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.025	0.975	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.025	0.975	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.024	0.976	0.001
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.022	0.976	0.002
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.024	0.976	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.023	0.977	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.023	0.977	0.000
rs12428035 lBF = `-0.0567497` Chr`13` : `96,300,872`	0.000	0.978	0.022
rs1323612 lBF = `0.12918` Chr`13` : `43,291,289`	0.000	0.980	0.020
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.019	0.981	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.018	0.982	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.018	0.982	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.017	0.982	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.015	0.985	0.000
rs969962 lBF = `-0.0325855` Chr`13` : `88,762,346`	0.015	0.985	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.000	0.985	0.015
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.014	0.985	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.014	0.986	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.013	0.987	0.001
rs1330598 lBF = `-0.0340981` Chr`13` : `61,933,131`	0.000	0.987	0.013
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.012	0.988	0.000
rs12018439 lBF = `0.028387` Chr`13` : `85,391,073`	0.012	0.988	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.011	0.989	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.010	0.989	0.000
rs9599403 lBF = `0.032534` Chr`13` : `69,676,334`	0.011	0.989	0.000
rs2806971 lBF = `-0.121707` Chr`13` : `53,653,856`	0.010	0.990	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.010	0.990	0.000
rs4482178 lBF = `-0.053938` Chr`13` : `86,104,089`	0.000	0.990	0.010
rs9525638 lBF = `-0.0984176` Chr`13` : `43,128,577`	0.000	0.990	0.010
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.009	0.990	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.008	0.991	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.008	0.992	0.000
rs17536328 lBF = `-0.101345` Chr`13` : `43,143,029`	0.000	0.992	0.008
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.007	0.992	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.007	0.993	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.007	0.993	0.000
rs2806974 lBF = `-0.122123` Chr`13` : `53,659,930`	0.007	0.993	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.006	0.993	0.001
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.006	0.994	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.006	0.994	0.000
rs2246208 lBF = `-0.127081` Chr`13` : `53,652,128`	0.006	0.994	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.994	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.005	0.994	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.005	0.994	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.005	0.994	0.000
rs1343607 lBF = `-0.135944` Chr`13` : `53,645,448`	0.006	0.994	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.005	0.995	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.004	0.995	0.001
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.005	0.995	0.001
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.005	0.995	0.000
rs2806946 lBF = `-0.126033` Chr`13` : `53,645,933`	0.005	0.995	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.005	0.995	0.000
rs2806949 lBF = `-0.136219` Chr`13` : `53,646,138`	0.005	0.995	0.000
rs155076 lBF = `-0.0755439` Chr`13` : `21,870,114`	0.005	0.995	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.004	0.996	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.004	0.996	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.004	0.996	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.004	0.996	0.000
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.996	0.004
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.003	0.996	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.004	0.996	0.000
rs1192201 lBF = `0.25583` Chr`13` : `110,806,490`	0.003	0.996	0.000
rs9556958 lBF = `0.0920075` Chr`13` : `99,100,046`	0.003	0.997	0.000
rs12429545 lBF = `0.248866` Chr`13` : `54,102,206`	0.003	0.997	0.000
rs35058679 lBF = `0.103442` Chr`13` : `96,145,379`	0.000	0.997	0.003
rs11069349 lBF = `0.275302` Chr`13` : `99,774,647`	0.000	0.997	0.003
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.003	0.997	0.000
rs9568867 lBF = `0.205963` Chr`13` : `54,107,352`	0.003	0.997	0.000
rs9565309 lBF = `-0.0108052` Chr`13` : `77,577,027`	0.000	0.997	0.003
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.002	0.997	0.001
rs2806933 lBF = `-0.142699` Chr`13` : `53,643,370`	0.003	0.997	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.002	0.997	0.000
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	0.002	0.997	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.002	0.998	0.000
rs9510795 lBF = `-0.119953` Chr`13` : `24,216,012`	0.002	0.998	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs1902272 lBF = `-0.0189901` Chr`13` : `32,125,315`	0.000	0.998	0.002
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs7328278 lBF = `0.0487745` Chr`13` : `36,351,766`	0.000	0.998	0.002
rs9574199 lBF = `-0.0436702` Chr`13` : `78,808,914`	0.000	0.998	0.002
rs9568856 lBF = `0.0179436` Chr`13` : `54,064,981`	0.002	0.998	0.000
rs56084662 lBF = `0.0799177` Chr`13` : `32,869,864`	0.002	0.998	0.000
rs17051917 lBF = `-0.0654832` Chr`13` : `35,768,789`	0.002	0.998	0.000
rs7992643 lBF = `-0.0720002` Chr`13` : `100,555,038`	0.002	0.998	0.000
rs17649135 lBF = `0.00345178` Chr`13` : `57,994,710`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.998	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	0.998	0.002
rs11838472 lBF = `-0.0154451` Chr`13` : `73,741,149`	0.002	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs11841001 lBF = `-0.019701` Chr`13` : `76,249,103`	0.002	0.998	0.000
rs17064136 lBF = `0.0807938` Chr`13` : `21,815,869`	0.002	0.998	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.002	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
rs56404467 lBF = `0.0153721` Chr`13` : `32,839,990`	0.000	0.998	0.002
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rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.000	1.000	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.000	1.000	0.000
rs4773054 lBF = `-0.00277264` Chr`13` : `110,154,028`	0.000	1.000	0.000
rs9533425 lBF = `-0.0114279` Chr`13` : `43,770,474`	0.000	1.000	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.000	1.000	0.000
rs12583965 lBF = `-0.0157985` Chr`13` : `78,808,813`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.000	1.000	0.000
rs7987251 lBF = `0.0261308` Chr`13` : `60,279,818`	0.000	1.000	0.000
rs7986704 lBF = `0.0261308` Chr`13` : `60,279,546`	0.000	1.000	0.000
rs9559203 lBF = `0.025885` Chr`13` : `108,664,754`	0.000	1.000	0.000
rs9513373 lBF = `0.00904787` Chr`13` : `98,866,996`	0.000	1.000	0.000
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	1.000	0.000
rs9646096 lBF = `-0.0201529` Chr`13` : `38,065,446`	0.000	1.000	0.000
rs17086609 lBF = `-0.0970323` Chr`13` : `28,929,711`	0.000	1.000	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.000	1.000	0.000
rs7333607 lBF = `5.77738` Chr`13` : `37,462,010`	0.000	1.000	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.000	1.000	0.000
rs1928007 lBF = `0.0299463` Chr`13` : `70,810,223`	0.000	1.000	0.000
rs9554348 lBF = `0.224776` Chr`13` : `97,012,355`	0.000	1.000	0.000
rs1927745 lBF = `0.173043` Chr`13` : `107,780,316`	0.000	1.000	0.000
rs7323507 lBF = `0.0323187` Chr`13` : `110,572,210`	0.000	1.000	0.000
rs1324913 lBF = `0.00875858` Chr`13` : `74,635,588`	0.000	1.000	0.000
rs16946160 lBF = `-0.0293461` Chr`13` : `92,203,813`	0.000	1.000	0.000
rs6563695 lBF = `-0.0430247` Chr`13` : `39,903,243`	0.000	1.000	0.000
rs9535020 lBF = `-0.0486569` Chr`13` : `48,923,808`	0.000	1.000	0.000
rs185694 lBF = `-0.071821` Chr`13` : `30,885,223`	0.000	1.000	0.000
rs3809346 lBF = `-0.110285` Chr`13` : `110,960,943`	0.000	1.000	0.000
rs349114 lBF = `0.104381` Chr`13` : `98,203,727`	0.000	1.000	0.000
rs1572591 lBF = `0.0442794` Chr`13` : `102,060,076`	0.000	1.000	0.000
rs7324021 lBF = `-0.00440337` Chr`13` : `20,637,140`	0.000	1.000	0.000
rs9533962 lBF = `-0.0234044` Chr`13` : `45,334,194`	0.000	1.000	0.000
rs72636617 lBF = `-0.0351031` Chr`13` : `95,075,219`	0.000	1.000	0.000
rs11619878 lBF = `-0.0616792` Chr`13` : `66,212,020`	0.000	1.000	0.000
rs7336933 lBF = `-0.0666056` Chr`13` : `42,559,076`	0.000	1.000	0.000
rs9515203 lBF = `8.96321` Chr`13` : `111,049,623`	0.000	1.000	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.000	1.000	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.000	1.000	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.000	1.000	0.000
rs573666 lBF = `0.247218` Chr`13` : `51,194,405`	0.000	1.000	0.000
rs11618202 lBF = `0.0119955` Chr`13` : `31,113,379`	0.000	1.000	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	1.000	0.000
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.000	1.000	0.000
rs732949 lBF = `-0.0237753` Chr`13` : `53,517,884`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	1.000	0.000
rs9563960 lBF = `-0.101208` Chr`13` : `62,930,300`	0.000	1.000	0.000
rs9315762 lBF = `0.100513` Chr`13` : `40,741,907`	0.000	1.000	0.000
rs1847505 lBF = `0.0685003` Chr`13` : `61,532,597`	0.000	1.000	0.000
rs7324845 lBF = `-0.0123017` Chr`13` : `46,703,142`	0.000	1.000	0.000
rs1536407 lBF = `-0.0247314` Chr`13` : `75,095,567`	0.000	1.000	0.000
rs35540212 lBF = `-0.0279034` Chr`13` : `36,768,682`	0.000	1.000	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	1.000	0.000
rs2293941 lBF = `0.55605` Chr`13` : `28,491,198`	0.000	1.000	0.000
rs1512651 lBF = `0.296602` Chr`13` : `56,772,696`	0.000	1.000	0.000
rs9557635 lBF = `0.205787` Chr`13` : `102,051,090`	0.000	1.000	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	1.000	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	1.000	0.000
rs17070284 lBF = `0.0707246` Chr`13` : `79,359,424`	0.000	1.000	0.000
rs1926320 lBF = `0.039235` Chr`13` : `36,652,617`	0.000	1.000	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.000	1.000	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.000	1.000	0.000
rs814141 lBF = `-0.0324034` Chr`13` : `109,511,059`	0.000	1.000	0.000
rs73197788 lBF = `-0.0401139` Chr`13` : `54,593,717`	0.000	1.000	0.000
rs7322722 lBF = `-0.0599777` Chr`13` : `77,879,376`	0.000	1.000	0.000
rs9521597 lBF = `-0.0939181` Chr`13` : `110,754,667`	0.000	1.000	0.000
rs1900442 lBF = `-0.0972085` Chr`13` : `42,505,674`	0.000	1.000	0.000
rs9584669 lBF = `0.111773` Chr`13` : `98,363,482`	0.000	1.000	0.000
rs79709413 lBF = `0.0165564` Chr`13` : `25,314,626`	0.000	1.000	0.000
rs642899 lBF = `-0.0255755` Chr`13` : `33,680,854`	0.000	1.000	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	1.000	0.000
rs2798269 lBF = `-0.0379506` Chr`13` : `22,131,897`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs2184971 lBF = `-0.0496243` Chr`13` : `100,818,092`	0.000	1.000	0.000
rs518590 lBF = `-0.0737026` Chr`13` : `22,305,099`	0.000	1.000	0.000
rs11070098 lBF = `-0.0890338` Chr`13` : `95,505,262`	0.000	1.000	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.000	1.000	0.000
rs12873154 lBF = `5.39657` Chr`13` : `110,920,852`	0.000	1.000	0.000
rs2038823 lBF = `0.716143` Chr`13` : `96,951,433`	0.000	1.000	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	1.000	0.000
rs9510661 lBF = `0.353113` Chr`13` : `23,851,799`	0.000	1.000	0.000
rs6561750 lBF = `0.123951` Chr`13` : `54,435,237`	0.000	1.000	0.000
rs9596270 lBF = `0.0849224` Chr`13` : `50,842,440`	0.000	1.000	0.000
rs9507983 lBF = `0.0822587` Chr`13` : `28,620,036`	0.000	1.000	0.000
rs9545740 lBF = `0.0516254` Chr`13` : `82,075,592`	0.000	1.000	0.000
rs11840092 lBF = `-0.00062898` Chr`13` : `58,114,748`	0.000	1.000	0.000
rs1006064 lBF = `-0.00100883` Chr`13` : `51,846,605`	0.000	1.000	0.000
rs4942242 lBF = `-0.0187406` Chr`13` : `44,217,064`	0.000	1.000	0.000
rs9315702 lBF = `-0.100282` Chr`13` : `40,118,068`	0.000	1.000	0.000
rs679805 lBF = `6.99103` Chr`13` : `80,747,701`	0.000	1.000	0.000
rs9567307 lBF = `4.38886` Chr`13` : `44,471,877`	0.000	1.000	0.000
rs7997462 lBF = `0.332208` Chr`13` : `58,257,165`	0.000	1.000	0.000
rs2325244 lBF = `0.200622` Chr`13` : `70,430,093`	0.000	1.000	0.000
rs9590974 lBF = `0.178302` Chr`13` : `47,238,717`	0.000	1.000	0.000
rs7335631 lBF = `0.0897623` Chr`13` : `30,957,688`	0.000	1.000	0.000
rs1155848 lBF = `0.0842416` Chr`13` : `79,888,476`	0.000	1.000	0.000
rs9534578 lBF = `-0.0245164` Chr`13` : `47,843,377`	0.000	1.000	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.4006

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2207

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.0849

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.9998

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9993

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9992

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9990

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9929

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9917

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9634

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9601

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9547

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9318

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9263

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9235

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9064

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9045

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9028

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8795

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8581

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8529

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8435

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8022

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7647

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7222

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7220

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7145

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7007

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6970

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6695

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6660

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6465

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6319

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6286

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6271

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5960

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5869

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5731

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5654

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4893

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4425

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4349

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4264

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4261

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3895

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3875

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3760

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3436

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3366

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3278

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3196

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3139

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3115

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3081

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3025

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2951

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2688

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2672

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2528

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2481

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2413

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2254

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2087

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2080

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2035

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2018

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1953

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1896

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1726

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1700

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1659

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1603

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1580

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1539

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1468

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1425

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1328

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1277

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1185

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1136

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1085

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1068

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1030

Cluster X0031

log Bayes Factor = 111.103

contains 3 variants

0.0996

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0964

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0899

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.0845

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0810

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.0792

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0737

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0639

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0611

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0609

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0579

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0558

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`)