TreeWAS – [S01.3] Open wound of ear

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
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.863	0.137	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.805	0.195	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.797	0.203	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.771	0.229	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.732	0.268	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.717	0.283	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.715	0.285	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.709	0.291	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.704	0.295	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.701	0.299	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.700	0.300	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.690	0.310	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.680	0.320	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.666	0.334	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.660	0.340	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.655	0.345	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.647	0.353	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.635	0.365	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.632	0.368	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.628	0.372	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.627	0.373	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.625	0.375	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.619	0.381	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.618	0.382	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.603	0.397	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.598	0.402	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.596	0.403	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.584	0.416	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.578	0.422	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.575	0.425	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.562	0.438	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.557	0.443	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.554	0.446	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.533	0.467	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.530	0.470	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.529	0.471	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.519	0.481	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.518	0.482	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.503	0.497	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.500	0.499	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.489	0.511	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.489	0.511	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.488	0.512	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.487	0.512	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.483	0.517	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.482	0.518	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.481	0.519	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.476	0.524	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.475	0.525	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.469	0.531	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.465	0.535	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.461	0.539	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.458	0.542	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.438	0.562	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.428	0.572	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.424	0.576	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.423	0.577	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.420	0.580	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.419	0.580	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.409	0.591	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.404	0.596	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.397	0.603	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.389	0.610	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.389	0.611	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.379	0.621	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.374	0.625	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.370	0.630	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.368	0.632	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.366	0.634	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.362	0.637	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.362	0.638	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.353	0.647	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.349	0.651	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.347	0.653	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.342	0.658	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.334	0.666	0.000
rs12873154 lBF = `5.39657` Chr`13` : `110,920,852`	0.318	0.681	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.311	0.688	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.307	0.693	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.302	0.697	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.299	0.701	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.294	0.706	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.285	0.714	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.284	0.716	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.284	0.716	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.283	0.717	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.282	0.718	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.274	0.725	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.272	0.728	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.272	0.728	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.269	0.731	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.265	0.735	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.262	0.738	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.262	0.738	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.259	0.741	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.256	0.744	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.256	0.744	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.255	0.745	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.254	0.746	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.237	0.763	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.233	0.767	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.229	0.771	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.228	0.772	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.227	0.773	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.226	0.773	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.226	0.774	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.210	0.790	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.202	0.798	0.001
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.200	0.800	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.188	0.812	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.185	0.815	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.181	0.819	0.001
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.175	0.825	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.172	0.828	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.171	0.829	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.167	0.833	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.164	0.835	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.159	0.841	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.155	0.845	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.147	0.853	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.138	0.862	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.136	0.864	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.133	0.867	0.001
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.131	0.869	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.118	0.882	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.117	0.883	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.111	0.889	0.001
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.110	0.890	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.106	0.894	0.000
rs2148072 lBF = `0.0194161` Chr`13` : `43,162,063`	0.106	0.894	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.101	0.898	0.001
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.091	0.909	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.082	0.918	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.081	0.919	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.078	0.922	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.075	0.925	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.072	0.928	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.071	0.929	0.000
rs7986704 lBF = `0.0261308` Chr`13` : `60,279,546`	0.068	0.932	0.000
rs7987251 lBF = `0.0261308` Chr`13` : `60,279,818`	0.068	0.932	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.058	0.942	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.942	0.057
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.051	0.948	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.049	0.951	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.048	0.952	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.045	0.955	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.043	0.957	0.001
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.040	0.960	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.032	0.967	0.001
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.032	0.967	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.027	0.973	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.027	0.973	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.022	0.978	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.021	0.979	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.020	0.980	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.019	0.981	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.018	0.982	0.000
rs9568281 lBF = `0.0326215` Chr`13` : `50,185,204`	0.000	0.984	0.016
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.015	0.984	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.013	0.986	0.001
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.012	0.987	0.001
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.011	0.989	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.011	0.989	0.000
rs12868495 lBF = `0.0035367` Chr`13` : `34,641,562`	0.008	0.992	0.000
rs302010 lBF = `0.00837433` Chr`13` : `70,719,462`	0.008	0.992	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.007	0.992	0.001
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.007	0.993	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.007	0.993	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.006	0.994	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.006	0.994	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.006	0.994	0.000
rs2277425 lBF = `-0.0251482` Chr`13` : `111,522,258`	0.000	0.994	0.006
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.005	0.994	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.995	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.005	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.004	0.995	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.004	0.995	0.000
rs9584669 lBF = `0.111773` Chr`13` : `98,363,482`	0.004	0.996	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.997	0.000
rs1816752 lBF = `-0.0503246` Chr`13` : `24,980,949`	0.000	0.997	0.003
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.003	0.997	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.003	0.997	0.000
rs9573330 lBF = `-0.0480678` Chr`13` : `74,518,210`	0.003	0.997	0.000
rs728926 lBF = `-0.0254835` Chr`13` : `74,513,122`	0.003	0.997	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.002	0.997	0.000
rs9646096 lBF = `-0.0201529` Chr`13` : `38,065,446`	0.002	0.997	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	0.997	0.002
rs9557207 lBF = `0.114754` Chr`13` : `100,036,418`	0.000	0.998	0.002
rs1886512 lBF = `-0.0501158` Chr`13` : `74,520,186`	0.002	0.998	0.000
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.002	0.998	0.000
rs3742130 lBF = `0.312804` Chr`13` : `99,907,341`	0.000	0.998	0.002
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs56084662 lBF = `0.0799177` Chr`13` : `32,869,864`	0.002	0.998	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.002	0.998	0.000
rs9315632 lBF = `0.319659` Chr`13` : `39,516,627`	0.000	0.998	0.002
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs11149178 lBF = `0.0600419` Chr`13` : `81,357,671`	0.002	0.998	0.000
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	0.002	0.998	0.000
rs9557195 lBF = `0.122842` Chr`13` : `99,956,622`	0.000	0.998	0.002
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
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rs1218282 lBF = `-0.0182198` Chr`13` : `79,455,832`	0.000	1.000	0.000
rs1262778 lBF = `2.84638` Chr`13` : `51,066,623`	0.000	1.000	0.000
rs2293941 lBF = `0.55605` Chr`13` : `28,491,198`	0.000	1.000	0.000
rs1323612 lBF = `0.12918` Chr`13` : `43,291,289`	0.000	1.000	0.000
rs11839514 lBF = `0.105267` Chr`13` : `93,938,706`	0.000	1.000	0.000
rs2997105 lBF = `0.00578687` Chr`13` : `56,378,424`	0.000	1.000	0.000
rs571411 lBF = `0.0034058` Chr`13` : `34,903,092`	0.000	1.000	0.000
rs79490558 lBF = `-0.00311595` Chr`13` : `45,886,186`	0.000	1.000	0.000
rs9315204 lBF = `-0.0042702` Chr`13` : `33,693,837`	0.000	1.000	0.000
rs16945184 lBF = `-0.0114295` Chr`13` : `91,755,199`	0.000	1.000	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.000	1.000	0.000
rs9517302 lBF = `-0.0314608` Chr`13` : `99,096,034`	0.000	1.000	0.000
rs4482178 lBF = `-0.053938` Chr`13` : `86,104,089`	0.000	1.000	0.000
rs3809346 lBF = `-0.110285` Chr`13` : `110,960,943`	0.000	1.000	0.000
rs9603612 lBF = `1.25009` Chr`13` : `40,334,852`	0.000	1.000	0.000
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	1.000	0.000
rs4773054 lBF = `-0.00277264` Chr`13` : `110,154,028`	0.000	1.000	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	1.000	0.000
rs9578438 lBF = `-0.0319063` Chr`13` : `22,729,205`	0.000	1.000	0.000
rs2253017 lBF = `-0.0704988` Chr`13` : `21,300,909`	0.000	1.000	0.000
rs518590 lBF = `-0.0737026` Chr`13` : `22,305,099`	0.000	1.000	0.000
rs2440012 lBF = `0.0835384` Chr`13` : `19,440,123`	0.000	1.000	0.000
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.000	1.000	0.000
rs7339349 lBF = `-0.0199355` Chr`13` : `74,556,225`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs7097 lBF = `-0.0579812` Chr`13` : `28,197,436`	0.000	1.000	0.000
rs583464 lBF = `-0.0788608` Chr`13` : `104,091,545`	0.000	1.000	0.000
rs9548050 lBF = `-0.113698` Chr`13` : `38,363,450`	0.000	1.000	0.000
rs9510795 lBF = `-0.119953` Chr`13` : `24,216,012`	0.000	1.000	0.000
rs1000589 lBF = `-0.124758` Chr`13` : `64,141,913`	0.000	1.000	0.000
rs1109630 lBF = `5.363` Chr`13` : `114,820,990`	0.000	1.000	0.000
rs2062305 lBF = `2.53248` Chr`13` : `43,052,880`	0.000	1.000	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.000	1.000	0.000
rs2038823 lBF = `0.716143` Chr`13` : `96,951,433`	0.000	1.000	0.000
rs35669975 lBF = `0.321569` Chr`13` : `107,790,401`	0.000	1.000	0.000
rs9554752 lBF = `0.111562` Chr`13` : `101,726,313`	0.000	1.000	0.000
rs9599403 lBF = `0.032534` Chr`13` : `69,676,334`	0.000	1.000	0.000
rs7323507 lBF = `0.0323187` Chr`13` : `110,572,210`	0.000	1.000	0.000
rs2220327 lBF = `0.0141401` Chr`13` : `64,946,698`	0.000	1.000	0.000
rs1340319 lBF = `0.0124048` Chr`13` : `64,950,422`	0.000	1.000	0.000
rs111859823 lBF = `0.00503855` Chr`13` : `110,660,190`	0.000	1.000	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.000	1.000	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	1.000	0.000
rs9634489 lBF = `-0.018318` Chr`13` : `97,049,004`	0.000	1.000	0.000
rs3119939 lBF = `-0.0229906` Chr`13` : `63,638,329`	0.000	1.000	0.000
rs9579199 lBF = `-0.0532141` Chr`13` : `29,164,783`	0.000	1.000	0.000
rs957788 lBF = `-0.0559028` Chr`13` : `108,257,220`	0.000	1.000	0.000
rs2315885 lBF = `-0.0642407` Chr`13` : `55,984,996`	0.000	1.000	0.000
rs11616416 lBF = `-0.0855914` Chr`13` : `29,836,251`	0.000	1.000	0.000
rs6563199 lBF = `0.299279` Chr`13` : `81,550,449`	0.000	1.000	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.000	1.000	0.000
rs9599394 lBF = `0.0800155` Chr`13` : `69,659,760`	0.000	1.000	0.000
rs12018439 lBF = `0.028387` Chr`13` : `85,391,073`	0.000	1.000	0.000
rs9598783 lBF = `0.0134805` Chr`13` : `64,945,174`	0.000	1.000	0.000
rs9571178 lBF = `0.0104591` Chr`13` : `64,936,243`	0.000	1.000	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	1.000	0.000
rs11841001 lBF = `-0.019701` Chr`13` : `76,249,103`	0.000	1.000	0.000
rs2892463 lBF = `-0.0864545` Chr`13` : `30,347,835`	0.000	1.000	0.000
rs2184180 lBF = `-0.0949211` Chr`13` : `79,380,816`	0.000	1.000	0.000
rs1900442 lBF = `-0.0972085` Chr`13` : `42,505,674`	0.000	1.000	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.000	1.000	0.000
rs9603616 lBF = `1.47804` Chr`13` : `40,368,069`	0.000	1.000	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.000	1.000	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.000	1.000	0.000
rs2721051 lBF = `0.26454` Chr`13` : `41,110,884`	0.000	1.000	0.000
rs1192201 lBF = `0.25583` Chr`13` : `110,806,490`	0.000	1.000	0.000
rs200220 lBF = `0.172577` Chr`13` : `50,960,378`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs79709413 lBF = `0.0165564` Chr`13` : `25,314,626`	0.000	1.000	0.000
rs10492664 lBF = `0.00816758` Chr`13` : `108,816,225`	0.000	1.000	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	1.000	0.000
rs17594362 lBF = `-0.0211249` Chr`13` : `42,139,245`	0.000	1.000	0.000
rs732949 lBF = `-0.0237753` Chr`13` : `53,517,884`	0.000	1.000	0.000
rs753955 lBF = `-0.027618` Chr`13` : `24,293,859`	0.000	1.000	0.000
rs4770837 lBF = `-0.0577583` Chr`13` : `26,037,960`	0.000	1.000	0.000
rs1973985 lBF = `-0.0644865` Chr`13` : `107,082,904`	0.000	1.000	0.000
rs17079928 lBF = `-0.071019` Chr`13` : `24,654,228`	0.000	1.000	0.000
rs155076 lBF = `-0.0755439` Chr`13` : `21,870,114`	0.000	1.000	0.000
rs4318070 lBF = `-0.0888159` Chr`13` : `98,960,762`	0.000	1.000	0.000
rs9525625 lBF = `2.29591` Chr`13` : `43,018,030`	0.000	1.000	0.000
rs9594759 lBF = `1.98815` Chr`13` : `43,032,593`	0.000	1.000	0.000
rs7332115 lBF = `0.86443` Chr`13` : `33,147,548`	0.000	1.000	0.000
rs9545740 lBF = `0.0516254` Chr`13` : `82,075,592`	0.000	1.000	0.000
rs9594293 lBF = `0.0381137` Chr`13` : `39,370,595`	0.000	1.000	0.000
rs1021188 lBF = `0.0320154` Chr`13` : `43,116,133`	0.000	1.000	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.000	1.000	0.000
rs4886238 lBF = `0.00560033` Chr`13` : `61,113,739`	0.000	1.000	0.000
rs584480 lBF = `-0.0158913` Chr`13` : `72,345,505`	0.000	1.000	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs16946160 lBF = `-0.0293461` Chr`13` : `92,203,813`	0.000	1.000	0.000
rs9543976 lBF = `-0.0429371` Chr`13` : `76,136,648`	0.000	1.000	0.000
rs9561329 lBF = `-0.052235` Chr`13` : `94,011,169`	0.000	1.000	0.000
rs915286 lBF = `-0.085443` Chr`13` : `40,695,992`	0.000	1.000	0.000
rs2119480 lBF = `-0.101061` Chr`13` : `111,343,888`	0.000	1.000	0.000
rs1335587 lBF = `1.93357` Chr`13` : `102,145,560`	0.000	1.000	0.000
rs12429889 lBF = `0.314078` Chr`13` : `74,742,322`	0.000	1.000	0.000
rs188014 lBF = `0.290841` Chr`13` : `50,969,923`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4897

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2836

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9877

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9837

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9819

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9804

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9740

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9677

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9654

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9634

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9571

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9569

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9539

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9516

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9486

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9465

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9431

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9423

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9388

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9379

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9354

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9335

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9290

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9270

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9143

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9083

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9021

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8804

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8777

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8763

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8729

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8664

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8627

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8588

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8545

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8526

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8483

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8280

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8236

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8136

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8106

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8076

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8036

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8035

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8013

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7983

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7904

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7846

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7815

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7796

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7783

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7596

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7513

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7495

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7440

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7318

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7288

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7265

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7210

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7128

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7093

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6663

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6657

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6652

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6579

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6337

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6332

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6261

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6240

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6185

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6022

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5995

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5989

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5752

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5695

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5559

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5547

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5529

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5474

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5474

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5473

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5400

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5347

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5347

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5336

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5322

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5276

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5240

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5199

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5145

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5056

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5031

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4892

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4889

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4692

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4649

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4441

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4366

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4324

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4311

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4251

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4178

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4111

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4089

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3478

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3446

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3376

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3213

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3085

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3035

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3012

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2890

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2850

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2444

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2376

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2304

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2283

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2260

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2246

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2148

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2076

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1949

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1942

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1913

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1781

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1778

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1726

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1655

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1652

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1282

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1242

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1210

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1121

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0965

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0932

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0928

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0871

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0790

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0783

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0778

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0777

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0750

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0722

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0654

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0593

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0571

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0524

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0517

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`)