TreeWAS – [N50.0] Atrophy of testis

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
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.666	0.334	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.662	0.338	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.627	0.373	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.558	0.441	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.546	0.454	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.542	0.458	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.541	0.459	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.512	0.488	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.510	0.490	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.501	0.499	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.484	0.516	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.471	0.529	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.454	0.546	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.449	0.551	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.446	0.554	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.445	0.555	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.436	0.564	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.424	0.576	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.423	0.577	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.416	0.584	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.415	0.585	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.393	0.607	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.381	0.619	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.380	0.619	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.378	0.622	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.363	0.636	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.362	0.638	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.361	0.639	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.333	0.666	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.328	0.672	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.319	0.681	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.287	0.713	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.278	0.721	0.000
rs3095527 lBF = `8.71437` Chr`13` : `51,170,755`	0.277	0.723	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.265	0.735	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.260	0.739	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.249	0.750	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.232	0.768	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.211	0.788	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.206	0.794	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.199	0.801	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.195	0.805	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.189	0.810	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.178	0.821	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.177	0.822	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.175	0.824	0.001
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.163	0.836	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.160	0.840	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.154	0.845	0.000
rs3118914 lBF = `3.81812` Chr`13` : `51,116,901`	0.140	0.860	0.000
rs3116602 lBF = `3.86436` Chr`13` : `51,111,355`	0.136	0.864	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.132	0.867	0.001
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.129	0.870	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.129	0.871	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.127	0.872	0.001
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.123	0.877	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.123	0.877	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.113	0.887	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.112	0.887	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.112	0.888	0.001
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.109	0.890	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.108	0.892	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.107	0.892	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.100	0.900	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.079	0.920	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.077	0.923	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.070	0.930	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.034	0.931	0.035
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.068	0.932	0.000
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	0.933	0.066
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.066	0.934	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.065	0.935	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.064	0.936	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.063	0.936	0.000
rs1262778 lBF = `2.84638` Chr`13` : `51,066,623`	0.000	0.937	0.062
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.051	0.949	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.050	0.950	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.049	0.951	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.045	0.954	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.045	0.954	0.000
rs1927745 lBF = `0.173043` Chr`13` : `107,780,316`	0.000	0.955	0.045
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.042	0.958	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.042	0.958	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.038	0.962	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.037	0.963	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.036	0.964	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.036	0.964	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.035	0.965	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.034	0.966	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.033	0.966	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.030	0.970	0.001
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.028	0.972	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.025	0.974	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.025	0.975	0.001
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.023	0.976	0.000
rs3118906 lBF = `0.120464` Chr`13` : `51,106,788`	0.023	0.977	0.000
rs17064136 lBF = `0.0807938` Chr`13` : `21,815,869`	0.023	0.977	0.000
rs2094900 lBF = `-0.07103` Chr`13` : `110,267,249`	0.000	0.978	0.022
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.021	0.979	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.020	0.979	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.020	0.980	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.020	0.980	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.020	0.980	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.019	0.980	0.001
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.019	0.980	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.019	0.981	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.000	0.981	0.019
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.019	0.981	0.000
rs11618202 lBF = `0.0119955` Chr`13` : `31,113,379`	0.000	0.981	0.019
rs3118905 lBF = `0.126346` Chr`13` : `51,105,334`	0.018	0.981	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.018	0.981	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.017	0.983	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.017	0.983	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.015	0.984	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.015	0.984	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.015	0.985	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.015	0.985	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.014	0.986	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.011	0.988	0.001
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.012	0.988	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.011	0.988	0.000
rs1155848 lBF = `0.0842416` Chr`13` : `79,888,476`	0.011	0.988	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.011	0.989	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.011	0.989	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.990	0.010
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.009	0.990	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.009	0.991	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.008	0.992	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.007	0.993	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.005	0.993	0.002
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.006	0.994	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.006	0.994	0.000
rs12431204 lBF = `-0.0507637` Chr`13` : `38,450,235`	0.000	0.994	0.006
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.006	0.994	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.006	0.994	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.006	0.994	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.005	0.994	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.994	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.005	0.995	0.001
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.005	0.995	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.004	0.995	0.001
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.004	0.995	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.004	0.995	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.004	0.996	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.003	0.996	0.001
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.003	0.997	0.000
rs2755237 lBF = `0.206837` Chr`13` : `41,109,429`	0.003	0.997	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.003	0.997	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.003	0.997	0.000
rs17648246 lBF = `-0.00487677` Chr`13` : `45,493,881`	0.000	0.997	0.003
rs11839514 lBF = `0.105267` Chr`13` : `93,938,706`	0.000	0.997	0.003
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.002	0.997	0.000
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.998	0.002
rs1923834 lBF = `-0.037854` Chr`13` : `28,360,487`	0.000	0.998	0.002
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs7328278 lBF = `0.0487745` Chr`13` : `36,351,766`	0.000	0.998	0.002
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.002	0.998	0.000
rs2036707 lBF = `-0.021407` Chr`13` : `108,484,454`	0.002	0.998	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.002	0.998	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.001	0.998	0.001
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.001	0.998	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.001	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.002	0.998	0.000
rs9646096 lBF = `-0.0201529` Chr`13` : `38,065,446`	0.001	0.998	0.000
rs735539 lBF = `-0.0591338` Chr`13` : `21,280,034`	0.000	0.998	0.001
rs3783006 lBF = `0.110519` Chr`13` : `99,111,209`	0.001	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.998	0.000
rs534870 lBF = `-0.0283121` Chr`13` : `80,959,207`	0.000	0.999	0.001
rs1323612 lBF = `0.12918` Chr`13` : `43,291,289`	0.000	0.999	0.001
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.000	0.999	0.001
rs693839 lBF = `-0.013975` Chr`13` : `80,958,288`	0.000	0.999	0.001
rs573666 lBF = `0.247218` Chr`13` : `51,194,405`	0.001	0.999	0.000
rs11619878 lBF = `-0.0616792` Chr`13` : `66,212,020`	0.000	0.999	0.001
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	0.999	0.001
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.000	0.999	0.001
rs1529276 lBF = `0.0221971` Chr`13` : `103,928,007`	0.001	0.999	0.000
rs181987887 lBF = `-0.00474037` Chr`13` : `77,246,519`	0.001	0.999	0.000
rs56084662 lBF = `0.0799177` Chr`13` : `32,869,864`	0.001	0.999	0.000
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs2051090 lBF = `-0.0900072` Chr`13` : `36,454,193`	0.000	0.999	0.001
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.001	0.999	0.000
rs490049 lBF = `0.00106161` Chr`13` : `33,564,863`	0.000	0.999	0.001
rs1370053 lBF = `0.00250351` Chr`13` : `58,514,665`	0.000	0.999	0.001
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.000	0.999	0.001
rs1239954 lBF = `0.0002883` Chr`13` : `51,119,137`	0.001	0.999	0.000
rs191275341 lBF = `0.00047124` Chr`13` : `95,067,121`	0.001	0.999	0.000
rs627871 lBF = `-0.00007697` Chr`13` : `34,906,055`	0.001	0.999	0.000
rs9552416 lBF = `0.11584` Chr`13` : `19,311,241`	0.000	0.999	0.001
rs9302001 lBF = `-0.0565217` Chr`13` : `95,463,392`	0.000	0.999	0.001
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.001	0.999	0.000
rs146346907 lBF = `0.00013263` Chr`13` : `109,033,271`	0.001	0.999	0.000
rs148342344 lBF = `0.00005062` Chr`13` : `68,263,279`	0.001	0.999	0.000
rs11843309 lBF = `0.00003701` Chr`13` : `70,454,960`	0.001	0.999	0.000
rs641862 lBF = `0.00003313` Chr`13` : `110,790,232`	0.001	0.999	0.000
rs141008343 lBF = `0.00000448` Chr`13` : `68,309,045`	0.001	0.999	0.000
rs9577381 lBF = `0` Chr`13` : `112,575,604`	0.001	0.999	0.001
rs9604153 lBF = `0` Chr`13` : `114,214,125`	0.001	0.999	0.001
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rs9517320 lBF = `-0.0794561` Chr`13` : `99,126,303`	0.000	1.000	0.000
rs4304924 lBF = `-0.0987476` Chr`13` : `79,238,925`	0.000	1.000	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.000	1.000	0.000
rs3885907 lBF = `0.241518` Chr`13` : `31,314,455`	0.000	1.000	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.000	1.000	0.000
rs814141 lBF = `-0.0324034` Chr`13` : `109,511,059`	0.000	1.000	0.000
rs6563695 lBF = `-0.0430247` Chr`13` : `39,903,243`	0.000	1.000	0.000
rs9557704 lBF = `-0.0664365` Chr`13` : `102,227,495`	0.000	1.000	0.000
rs7319311 lBF = `-0.0698168` Chr`13` : `111,030,578`	0.000	1.000	0.000
rs9567307 lBF = `4.38886` Chr`13` : `44,471,877`	0.000	1.000	0.000
rs3764147 lBF = `4.36031` Chr`13` : `44,457,925`	0.000	1.000	0.000
rs7335046 lBF = `3.79919` Chr`13` : `100,041,738`	0.000	1.000	0.000
rs17798800 lBF = `1.16738` Chr`13` : `34,950,527`	0.000	1.000	0.000
rs11838776 lBF = `0.272241` Chr`13` : `111,040,681`	0.000	1.000	0.000
rs9557635 lBF = `0.205787` Chr`13` : `102,051,090`	0.000	1.000	0.000
rs35058679 lBF = `0.103442` Chr`13` : `96,145,379`	0.000	1.000	0.000
rs1509091 lBF = `0.0291212` Chr`13` : `108,491,592`	0.000	1.000	0.000
rs9568856 lBF = `0.0179436` Chr`13` : `54,064,981`	0.000	1.000	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	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
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.000	1.000	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	1.000	0.000
rs7339349 lBF = `-0.0199355` Chr`13` : `74,556,225`	0.000	1.000	0.000
rs17718828 lBF = `-0.0215309` Chr`13` : `75,128,114`	0.000	1.000	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	1.000	0.000
rs12853515 lBF = `-0.0382816` Chr`13` : `111,781,060`	0.000	1.000	0.000
rs7999075 lBF = `-0.0558227` Chr`13` : `22,620,207`	0.000	1.000	0.000
rs9510795 lBF = `-0.119953` Chr`13` : `24,216,012`	0.000	1.000	0.000
rs9521632 lBF = `13.7226` Chr`13` : `110,832,918`	0.000	1.000	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.000	1.000	0.000
rs55940034 lBF = `0.737182` Chr`13` : `111,043,309`	0.000	1.000	0.000
rs2038823 lBF = `0.716143` Chr`13` : `96,951,433`	0.000	1.000	0.000
rs9599394 lBF = `0.0800155` Chr`13` : `69,659,760`	0.000	1.000	0.000
rs7989336 lBF = `0.0612583` Chr`13` : `97,017,548`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs9545740 lBF = `0.0516254` Chr`13` : `82,075,592`	0.000	1.000	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.000	1.000	0.000
rs2997105 lBF = `0.00578687` Chr`13` : `56,378,424`	0.000	1.000	0.000
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	1.000	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.000	1.000	0.000
rs9565309 lBF = `-0.0108052` Chr`13` : `77,577,027`	0.000	1.000	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.000	1.000	0.000
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.000	1.000	0.000
rs732949 lBF = `-0.0237753` Chr`13` : `53,517,884`	0.000	1.000	0.000
rs9594221 lBF = `-0.0274964` Chr`13` : `38,118,531`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs9547929 lBF = `-0.0303327` Chr`13` : `38,116,392`	0.000	1.000	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.000	1.000	0.000
rs969962 lBF = `-0.0325855` Chr`13` : `88,762,346`	0.000	1.000	0.000
rs2352028 lBF = `-0.0510522` Chr`13` : `92,445,229`	0.000	1.000	0.000
rs4886088 lBF = `-0.0643618` Chr`13` : `59,128,526`	0.000	1.000	0.000
rs7995215 lBF = `-0.0819467` Chr`13` : `94,408,506`	0.000	1.000	0.000
rs8000124 lBF = `-0.102821` Chr`13` : `53,605,235`	0.000	1.000	0.000
rs6561151 lBF = `3.55934` Chr`13` : `44,484,706`	0.000	1.000	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.000	1.000	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.000	1.000	0.000
rs9515201 lBF = `0.872004` Chr`13` : `111,040,798`	0.000	1.000	0.000
rs68151129 lBF = `0.438048` Chr`13` : `94,983,445`	0.000	1.000	0.000
rs6563199 lBF = `0.299279` Chr`13` : `81,550,449`	0.000	1.000	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	1.000	0.000
rs7335631 lBF = `0.0897623` Chr`13` : `30,957,688`	0.000	1.000	0.000
rs9596270 lBF = `0.0849224` Chr`13` : `50,842,440`	0.000	1.000	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	1.000	0.000
rs1926657 lBF = `0.0582323` Chr`13` : `95,874,956`	0.000	1.000	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.000	1.000	0.000
rs9526114 lBF = `0.0297745` Chr`13` : `46,408,037`	0.000	1.000	0.000
rs17649135 lBF = `0.00345178` Chr`13` : `57,994,710`	0.000	1.000	0.000
rs4773054 lBF = `-0.00277264` Chr`13` : `110,154,028`	0.000	1.000	0.000
rs3790022 lBF = `-0.0147772` Chr`13` : `51,576,170`	0.000	1.000	0.000
rs1590305 lBF = `-0.0249349` Chr`13` : `38,035,189`	0.000	1.000	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	1.000	0.000
rs16946160 lBF = `-0.0293461` Chr`13` : `92,203,813`	0.000	1.000	0.000
rs9573194 lBF = `-0.0377602` Chr`13` : `74,004,376`	0.000	1.000	0.000
rs9535307 lBF = `-0.0456365` Chr`13` : `50,291,842`	0.000	1.000	0.000
rs3106598 lBF = `-0.0639725` Chr`13` : `61,678,912`	0.000	1.000	0.000
rs9517132 lBF = `-0.0720512` Chr`13` : `98,575,843`	0.000	1.000	0.000
rs9531686 lBF = `-0.0895328` Chr`13` : `85,549,736`	0.000	1.000	0.000
rs9556893 lBF = `-0.107316` Chr`13` : `98,831,595`	0.000	1.000	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.000	1.000	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.000	1.000	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.000	1.000	0.000
rs34065801 lBF = `0.422801` Chr`13` : `36,531,548`	0.000	1.000	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	1.000	0.000
rs188014 lBF = `0.290841` Chr`13` : `50,969,923`	0.000	1.000	0.000
rs9536463 lBF = `0.1609` Chr`13` : `54,132,247`	0.000	1.000	0.000
rs150841795 lBF = `0.142928` Chr`13` : `54,137,749`	0.000	1.000	0.000
rs9574565 lBF = `0.127341` Chr`13` : `80,668,874`	0.000	1.000	0.000
rs9596837 lBF = `0.0540929` Chr`13` : `54,258,063`	0.000	1.000	0.000
rs9559203 lBF = `0.025885` Chr`13` : `108,664,754`	0.000	1.000	0.000
rs79709413 lBF = `0.0165564` Chr`13` : `25,314,626`	0.000	1.000	0.000
rs9574246 lBF = `0.0015373` Chr`13` : `79,038,429`	0.000	1.000	0.000
rs1116255 lBF = `0.00049198` Chr`13` : `55,489,005`	0.000	1.000	0.000
rs7995618 lBF = `-0.0178469` Chr`13` : `90,014,489`	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 X0300

log Bayes Factor = 109.684

contains 3 variants

0.6424

Cluster X0202

log Bayes Factor = 106.378

contains 5 variants

0.3293

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.1566

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.0515

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0511

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9743

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8801

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8310

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8191

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7131

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7118

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7045

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6535

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6428

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6274

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5902

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.5458

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5395

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5310

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5292

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5269

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5129

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5018

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4905

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4853

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4773

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4488

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4361

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4325

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4166

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4070

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4054

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3795

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3655

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3583

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3476

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3457

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3315

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3286

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3279

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3154

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3036

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2983

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2891

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2833

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2775

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2694

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2631

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2614

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.2556

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2553

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2545

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2511

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2454

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2338

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2330

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2287

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2138

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2104

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2025

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1980

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1964

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1907

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1855

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1837

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1798

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1756

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1730

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1614

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1309

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1298

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1250

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1200

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1116

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0919

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0833

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0804

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0797

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0713

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0661

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0525

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0511

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`)