TreeWAS – [N15.8] Other specified renal tubulo-interstitial diseases

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
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.505	0.494	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.504	0.495	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.502	0.498	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.498	0.501	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.496	0.503	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.496	0.504	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.489	0.510	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.489	0.511	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.488	0.512	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.481	0.519	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.480	0.520	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.473	0.527	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.465	0.535	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.461	0.538	0.000
rs941823 lBF = `1.21705` Chr`13` : `41,013,977`	0.461	0.539	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.457	0.543	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.454	0.545	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.450	0.550	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.450	0.550	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.441	0.558	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.437	0.563	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.431	0.569	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.427	0.572	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.424	0.576	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.418	0.582	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.413	0.587	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.413	0.587	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.408	0.592	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.405	0.595	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.404	0.596	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.401	0.599	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.393	0.607	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.391	0.608	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.390	0.610	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.387	0.612	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.387	0.613	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.377	0.622	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.365	0.634	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.359	0.641	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.353	0.647	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
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.349	0.651	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.348	0.652	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.337	0.662	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.337	0.663	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.334	0.666	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.328	0.671	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.322	0.678	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.321	0.679	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.315	0.684	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.313	0.687	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.313	0.687	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.310	0.689	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.296	0.704	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.291	0.709	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.285	0.715	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.281	0.719	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.275	0.725	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.274	0.726	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.267	0.733	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.251	0.749	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.251	0.749	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.248	0.752	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.240	0.759	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.236	0.764	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.235	0.765	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.224	0.776	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.216	0.783	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.213	0.787	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.202	0.798	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.199	0.801	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.179	0.821	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.177	0.823	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.176	0.824	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.175	0.824	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.167	0.833	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.167	0.833	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.164	0.836	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.162	0.838	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.146	0.854	0.001
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.143	0.857	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.139	0.860	0.001
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.133	0.866	0.001
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.131	0.869	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.128	0.872	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.125	0.875	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.124	0.875	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.121	0.879	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.110	0.890	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.107	0.893	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.102	0.898	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.091	0.908	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.088	0.912	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.086	0.913	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.086	0.914	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.075	0.925	0.000
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	0.938	0.062
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.062	0.938	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.059	0.940	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.059	0.941	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.056	0.944	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.947	0.053
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.050	0.950	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.043	0.957	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.038	0.961	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.037	0.962	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.037	0.963	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.034	0.966	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.034	0.966	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.033	0.966	0.000
rs9599394 lBF = `0.0800155` Chr`13` : `69,659,760`	0.033	0.967	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.031	0.969	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.028	0.972	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.027	0.973	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.025	0.974	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.024	0.976	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.022	0.978	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.022	0.978	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.020	0.980	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.017	0.983	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.016	0.983	0.000
rs1323612 lBF = `0.12918` Chr`13` : `43,291,289`	0.000	0.984	0.015
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.015	0.985	0.000
rs17596685 lBF = `0.0331689` Chr`13` : `43,117,201`	0.014	0.986	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.014	0.986	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.014	0.986	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.013	0.986	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.013	0.987	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.011	0.989	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.011	0.989	0.000
rs1330598 lBF = `-0.0340981` Chr`13` : `61,933,131`	0.000	0.990	0.010
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.010	0.990	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.010	0.990	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.010	0.990	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.010	0.990	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.009	0.990	0.000
rs1021188 lBF = `0.0320154` Chr`13` : `43,116,133`	0.000	0.991	0.009
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.009	0.991	0.000
rs9525638 lBF = `-0.0984176` Chr`13` : `43,128,577`	0.000	0.991	0.009
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.009	0.991	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.008	0.991	0.000
rs17536328 lBF = `-0.101345` Chr`13` : `43,143,029`	0.000	0.992	0.008
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.008	0.992	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.007	0.992	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.007	0.993	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.007	0.993	0.000
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.993	0.007
rs12428035 lBF = `-0.0567497` Chr`13` : `96,300,872`	0.000	0.993	0.007
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.006	0.994	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.006	0.994	0.000
rs9599403 lBF = `0.032534` Chr`13` : `69,676,334`	0.005	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
rs7328278 lBF = `0.0487745` Chr`13` : `36,351,766`	0.000	0.995	0.005
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.005	0.995	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.005	0.995	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.000	0.995	0.004
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
rs969962 lBF = `-0.0325855` Chr`13` : `88,762,346`	0.004	0.996	0.000
rs17064136 lBF = `0.0807938` Chr`13` : `21,815,869`	0.003	0.997	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.003	0.997	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.003	0.997	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs2806971 lBF = `-0.121707` Chr`13` : `53,653,856`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.001	0.998	0.001
rs9554752 lBF = `0.111562` Chr`13` : `101,726,313`	0.002	0.998	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.001	0.998	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.001	0.998	0.000
rs1902272 lBF = `-0.0189901` Chr`13` : `32,125,315`	0.000	0.998	0.001
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
rs56084662 lBF = `0.0799177` Chr`13` : `32,869,864`	0.001	0.998	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.001	0.998	0.000
rs3095527 lBF = `8.71437` Chr`13` : `51,170,755`	0.001	0.998	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.001	0.998	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.001	0.998	0.000
rs2806974 lBF = `-0.122123` Chr`13` : `53,659,930`	0.001	0.999	0.000
rs12429545 lBF = `0.248866` Chr`13` : `54,102,206`	0.001	0.999	0.000
rs2246208 lBF = `-0.127081` Chr`13` : `53,652,128`	0.001	0.999	0.000
rs9531006 lBF = `0.00151083` Chr`13` : `80,551,563`	0.001	0.999	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.001	0.999	0.000
rs17649135 lBF = `0.00345178` Chr`13` : `57,994,710`	0.001	0.999	0.000
rs17051917 lBF = `-0.0654832` Chr`13` : `35,768,789`	0.001	0.999	0.000
rs9568867 lBF = `0.205963` Chr`13` : `54,107,352`	0.001	0.999	0.000
rs9568856 lBF = `0.0179436` Chr`13` : `54,064,981`	0.001	0.999	0.000
rs490049 lBF = `0.00106161` Chr`13` : `33,564,863`	0.000	0.999	0.001
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.001	0.999	0.000
rs7999075 lBF = `-0.0558227` Chr`13` : `22,620,207`	0.001	0.999	0.000
rs2806946 lBF = `-0.126033` Chr`13` : `53,645,933`	0.001	0.999	0.000
rs9561252 lBF = `-0.0321187` Chr`13` : `93,729,285`	0.001	0.999	0.000
rs200220 lBF = `0.172577` Chr`13` : `50,960,378`	0.001	0.999	0.000
rs4482178 lBF = `-0.053938` Chr`13` : `86,104,089`	0.000	0.999	0.001
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.001	0.999	0.000
rs1343607 lBF = `-0.135944` Chr`13` : `53,645,448`	0.001	0.999	0.000
rs1239954 lBF = `0.0002883` Chr`13` : `51,119,137`	0.001	0.999	0.000
rs2277425 lBF = `-0.0251482` Chr`13` : `111,522,258`	0.000	0.999	0.001
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rs11148252 lBF = `-0.0792541` Chr`13` : `53,009,048`	0.000	0.999	0.000
rs11070098 lBF = `-0.0890338` Chr`13` : `95,505,262`	0.000	0.999	0.000
rs2184180 lBF = `-0.0949211` Chr`13` : `79,380,816`	0.000	0.999	0.000
rs8000124 lBF = `-0.102821` Chr`13` : `53,605,235`	0.000	0.999	0.000
rs9314986 lBF = `2.19433` Chr`13` : `30,458,737`	0.000	0.999	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.000	0.999	0.000
rs573666 lBF = `0.247218` Chr`13` : `51,194,405`	0.000	0.999	0.000
rs9590974 lBF = `0.178302` Chr`13` : `47,238,717`	0.000	0.999	0.000
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.000	0.999	0.000
rs9556958 lBF = `0.0920075` Chr`13` : `99,100,046`	0.000	0.999	0.000
rs2391776 lBF = `0.0283931` Chr`13` : `110,243,425`	0.000	0.999	0.000
rs2997105 lBF = `0.00578687` Chr`13` : `56,378,424`	0.000	0.999	0.000
rs1324015 lBF = `0.00278836` Chr`13` : `43,727,849`	0.000	0.999	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.000	0.999	0.000
rs9508025 lBF = `-0.0065922` Chr`13` : `28,984,063`	0.000	0.999	0.000
rs7995618 lBF = `-0.0178469` Chr`13` : `90,014,489`	0.000	0.999	0.000
rs9316505 lBF = `-0.0208236` Chr`13` : `51,390,598`	0.000	0.999	0.000
rs12865097 lBF = `-0.0320758` Chr`13` : `45,477,410`	0.000	0.999	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	0.999	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	0.000	0.999	0.000
rs1923834 lBF = `-0.037854` Chr`13` : `28,360,487`	0.000	0.999	0.000
rs12853515 lBF = `-0.0382816` Chr`13` : `111,781,060`	0.000	0.999	0.000
rs9652236 lBF = `-0.0460187` Chr`13` : `72,688,774`	0.000	0.999	0.000
rs7322722 lBF = `-0.0599777` Chr`13` : `77,879,376`	0.000	0.999	0.000
rs9600079 lBF = `-0.0738818` Chr`13` : `73,728,139`	0.000	0.999	0.000
rs6491411 lBF = `-0.0811288` Chr`13` : `98,904,568`	0.000	0.999	0.000
rs4883955 lBF = `-0.0896667` Chr`13` : `74,433,807`	0.000	0.999	0.000
rs4771996 lBF = `-0.099928` Chr`13` : `98,053,792`	0.000	0.999	0.000
rs9315702 lBF = `-0.100282` Chr`13` : `40,118,068`	0.000	0.999	0.000
rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.000	0.999	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.000	0.999	0.000
rs9315632 lBF = `0.319659` Chr`13` : `39,516,627`	0.000	0.999	0.000
rs11838776 lBF = `0.272241` Chr`13` : `111,040,681`	0.000	0.999	0.000
rs9596270 lBF = `0.0849224` Chr`13` : `50,842,440`	0.000	0.999	0.000
rs10492604 lBF = `0.0831316` Chr`13` : `58,904,313`	0.000	0.999	0.000
rs9568281 lBF = `0.0326215` Chr`13` : `50,185,204`	0.000	0.999	0.000
rs2875517 lBF = `0.0316769` Chr`13` : `67,696,145`	0.000	0.999	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.000	0.999	0.000
rs2148072 lBF = `0.0194161` Chr`13` : `43,162,063`	0.000	0.999	0.000
rs79709413 lBF = `0.0165564` Chr`13` : `25,314,626`	0.000	0.999	0.000
rs9513373 lBF = `0.00904787` Chr`13` : `98,866,996`	0.000	0.999	0.000
rs1116255 lBF = `0.00049198` Chr`13` : `55,489,005`	0.000	0.999	0.000
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	0.999	0.000
rs2770228 lBF = `-0.00894791` Chr`13` : `98,200,572`	0.000	0.999	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	0.999	0.000
rs16945184 lBF = `-0.0114295` Chr`13` : `91,755,199`	0.000	0.999	0.000
rs171156 lBF = `-0.0117374` Chr`13` : `80,845,641`	0.000	0.999	0.000
rs9561428 lBF = `-0.0182564` Chr`13` : `94,341,096`	0.000	0.999	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	0.999	0.000
rs6563695 lBF = `-0.0430247` Chr`13` : `39,903,243`	0.000	0.999	0.000
rs9574199 lBF = `-0.0436702` Chr`13` : `78,808,914`	0.000	0.999	0.000
rs9535307 lBF = `-0.0456365` Chr`13` : `50,291,842`	0.000	0.999	0.000
rs9518810 lBF = `-0.0485096` Chr`13` : `103,343,428`	0.000	0.999	0.000
rs9919839 lBF = `-0.0581421` Chr`13` : `72,174,353`	0.000	0.999	0.000
rs2039553 lBF = `-0.0591265` Chr`13` : `80,299,722`	0.000	0.999	0.000
rs17511627 lBF = `-0.060438` Chr`13` : `26,724,328`	0.000	0.999	0.000
rs1973985 lBF = `-0.0644865` Chr`13` : `107,082,904`	0.000	0.999	0.000
rs1330950 lBF = `-0.0696998` Chr`13` : `107,338,801`	0.000	0.999	0.000
rs16854 lBF = `-0.0747142` Chr`13` : `110,755,832`	0.000	0.999	0.000
rs912294 lBF = `-0.077738` Chr`13` : `31,698,294`	0.000	0.999	0.000
rs9574309 lBF = `-0.0789092` Chr`13` : `79,382,101`	0.000	0.999	0.000
rs2892463 lBF = `-0.0864545` Chr`13` : `30,347,835`	0.000	0.999	0.000
rs9599848 lBF = `-0.0916314` Chr`13` : `72,048,096`	0.000	0.999	0.000
rs12873154 lBF = `5.39657` Chr`13` : `110,920,852`	0.000	0.999	0.000
rs3116602 lBF = `3.86436` Chr`13` : `51,111,355`	0.000	0.999	0.000
rs3118914 lBF = `3.81812` Chr`13` : `51,116,901`	0.000	0.999	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.000	0.999	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.000	0.999	0.000
rs2293941 lBF = `0.55605` Chr`13` : `28,491,198`	0.000	0.999	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.000	0.999	0.000
rs9510661 lBF = `0.353113` Chr`13` : `23,851,799`	0.000	0.999	0.000
rs7997462 lBF = `0.332208` Chr`13` : `58,257,165`	0.000	0.999	0.000
rs9512755 lBF = `0.281975` Chr`13` : `28,158,229`	0.000	0.999	0.000
rs2721051 lBF = `0.26454` Chr`13` : `41,110,884`	0.000	0.999	0.000
rs806321 lBF = `0.218217` Chr`13` : `50,841,323`	0.000	0.999	0.000
rs9525916 lBF = `0.17004` Chr`13` : `44,702,869`	0.000	0.999	0.000
rs9512637 lBF = `0.153392` Chr`13` : `27,920,611`	0.000	0.999	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.000	0.999	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	0.999	0.000
rs7981942 lBF = `0.0851262` Chr`13` : `80,623,346`	0.000	0.999	0.000
rs1155848 lBF = `0.0842416` Chr`13` : `79,888,476`	0.000	0.999	0.000
rs1928007 lBF = `0.0299463` Chr`13` : `70,810,223`	0.000	0.999	0.000
rs7986704 lBF = `0.0261308` Chr`13` : `60,279,546`	0.000	0.999	0.000
rs7987251 lBF = `0.0261308` Chr`13` : `60,279,818`	0.000	0.999	0.000
rs984300 lBF = `0.0139206` Chr`13` : `109,455,835`	0.000	0.999	0.000
rs1413191 lBF = `0.00657196` Chr`13` : `93,213,476`	0.000	0.999	0.000
rs9540294 lBF = `0.00420883` Chr`13` : `65,564,031`	0.000	0.999	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	0.999	0.000
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.000	0.999	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.000	0.999	0.000
rs4773054 lBF = `-0.00277264` Chr`13` : `110,154,028`	0.000	0.999	0.000
rs975739 lBF = `-0.00282109` Chr`13` : `78,381,146`	0.000	0.999	0.000
rs9599293 lBF = `-0.0073785` Chr`13` : `35,165,390`	0.000	0.999	0.000
rs2209852 lBF = `-0.00941689` Chr`13` : `95,517,622`	0.000	0.999	0.000
rs715921 lBF = `-0.0126854` Chr`13` : `24,795,489`	0.000	0.999	0.000
rs3790022 lBF = `-0.0147772` Chr`13` : `51,576,170`	0.000	0.999	0.000
rs9646096 lBF = `-0.0201529` Chr`13` : `38,065,446`	0.000	0.999	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	0.999	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

0.4358

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2744

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6837

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6378

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6165

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6145

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6084

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6051

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6033

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5901

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5864

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5670

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5669

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5564

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5455

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5372

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5140

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5140

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5140

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5140

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5140

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5140

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5140

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5140

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5140

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5140

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5140

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5140

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5140

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5140

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5140

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5140

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5140

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5140

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5140

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5140

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5139

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5139

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5139

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5139

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5139

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5139

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5138

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5138

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5137

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5137

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5137

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5137

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5136

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5136

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5135

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5133

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5132

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5132

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5131

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5129

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5129

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5128

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5127

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5127

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5126

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5125

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5119

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5119

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5115

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5101

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5094

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5090

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5089

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5068

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5059

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5059

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5050

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5023

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4989

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4916

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4915

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4909

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4890

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4886

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4878

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4850

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4769

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4763

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4710

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4618

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4576

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4575

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4556

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4540

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4509

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4434

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4385

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4245

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4231

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4159

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.4017

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3978

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3924

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3823

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3693

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3668

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3536

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3251

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3181

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2931

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2859

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2842

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2842

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2805

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2769

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2761

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2628

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.2562

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2502

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2460

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2453

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2410

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2363

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2362

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2300

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2212

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2189

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2088

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2034

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2019

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1930

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1761

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1600

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1542

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1375

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1368

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1348

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1337

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1321

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1267

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1247

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1175

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1153

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1074

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0928

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0863

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0773

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0566

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`)