TreeWAS – [C18.4] Transverse colon

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
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.830	0.170	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.777	0.223	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.774	0.226	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.747	0.252	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.739	0.261	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.669	0.331	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.665	0.335	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.662	0.338	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.654	0.346	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.645	0.355	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.619	0.381	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.618	0.382	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.617	0.383	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.608	0.391	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.602	0.397	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.600	0.399	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.597	0.403	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.593	0.407	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.588	0.412	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.579	0.421	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.576	0.424	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.572	0.428	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.567	0.433	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.552	0.448	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.551	0.449	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.535	0.465	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.532	0.468	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.531	0.469	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.520	0.480	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.516	0.484	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.514	0.486	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.513	0.487	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.497	0.503	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.492	0.508	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.467	0.533	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.465	0.535	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.448	0.552	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.445	0.555	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.440	0.560	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.437	0.563	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.429	0.571	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.415	0.585	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.411	0.589	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.410	0.590	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.401	0.599	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.396	0.604	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.395	0.605	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.393	0.607	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.389	0.611	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.386	0.613	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.376	0.624	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.374	0.626	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.368	0.632	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.363	0.637	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.363	0.637	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.362	0.638	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.360	0.640	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.323	0.677	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.298	0.702	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.293	0.707	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.270	0.729	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.251	0.749	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.244	0.756	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.243	0.756	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.243	0.757	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.237	0.762	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.225	0.775	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.220	0.779	0.001
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.213	0.787	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.210	0.790	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.204	0.796	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.201	0.799	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.187	0.813	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.182	0.817	0.001
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.175	0.824	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.825	0.175
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.172	0.827	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.164	0.835	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.164	0.836	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.163	0.837	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.162	0.838	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.162	0.838	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.154	0.846	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.153	0.847	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.153	0.847	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.151	0.849	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.141	0.859	0.000
rs1886449 lBF = `0.135937` Chr`13` : `73,932,114`	0.141	0.859	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.139	0.861	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.133	0.867	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.126	0.874	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.125	0.874	0.001
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.119	0.881	0.001
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.115	0.885	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.108	0.892	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.108	0.892	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.106	0.893	0.001
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.098	0.901	0.001
rs2721051 lBF = `0.26454` Chr`13` : `41,110,884`	0.098	0.902	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.095	0.904	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.081	0.919	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.080	0.920	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.080	0.920	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.080	0.920	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.071	0.928	0.001
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.072	0.928	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.071	0.929	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.067	0.932	0.000
rs56084662 lBF = `0.0799177` Chr`13` : `32,869,864`	0.060	0.940	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.056	0.943	0.001
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.056	0.944	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.054	0.945	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.049	0.951	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.048	0.952	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.041	0.959	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.040	0.959	0.001
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.037	0.963	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.035	0.965	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.033	0.966	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	0.969	0.031
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.028	0.970	0.002
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.027	0.973	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.023	0.977	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.022	0.978	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.021	0.978	0.001
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.020	0.980	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.018	0.982	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.016	0.983	0.000
rs79972364 lBF = `-0.0282665` Chr`13` : `101,831,748`	0.015	0.985	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.014	0.985	0.001
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.014	0.986	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.013	0.987	0.000
rs12585963 lBF = `-0.0233729` Chr`13` : `59,953,466`	0.000	0.988	0.012
rs2148072 lBF = `0.0194161` Chr`13` : `43,162,063`	0.012	0.988	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.011	0.989	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.011	0.989	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.010	0.990	0.000
rs11841001 lBF = `-0.019701` Chr`13` : `76,249,103`	0.000	0.991	0.009
rs7335046 lBF = `3.79919` Chr`13` : `100,041,738`	0.009	0.991	0.000
rs7999075 lBF = `-0.0558227` Chr`13` : `22,620,207`	0.000	0.991	0.009
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.009	0.991	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.008	0.991	0.000
rs9315702 lBF = `-0.100282` Chr`13` : `40,118,068`	0.008	0.992	0.000
rs10507380 lBF = `-0.030208` Chr`13` : `27,879,526`	0.008	0.992	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.008	0.992	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.007	0.992	0.000
rs9581094 lBF = `-0.0257043` Chr`13` : `25,082,630`	0.000	0.992	0.008
rs7336332 lBF = `-0.0157861` Chr`13` : `28,058,404`	0.007	0.993	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.007	0.993	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.007	0.993	0.000
rs4318070 lBF = `-0.0888159` Chr`13` : `98,960,762`	0.000	0.993	0.007
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.006	0.993	0.000
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	0.993	0.007
rs17085007 lBF = `1.29436` Chr`13` : `27,531,267`	0.006	0.994	0.000
rs9603616 lBF = `1.47804` Chr`13` : `40,368,069`	0.000	0.994	0.006
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.006	0.994	0.000
rs17649135 lBF = `0.00345178` Chr`13` : `57,994,710`	0.006	0.994	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.006	0.994	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.006	0.994	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.005	0.994	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.005	0.994	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.005	0.995	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.995	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.005	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.005	0.995	0.000
rs7333607 lBF = `5.77738` Chr`13` : `37,462,010`	0.004	0.996	0.000
rs34394770 lBF = `0.964353` Chr`13` : `40,333,369`	0.000	0.996	0.004
rs9603612 lBF = `1.25009` Chr`13` : `40,334,852`	0.000	0.996	0.004
rs7993214 lBF = `1.09418` Chr`13` : `40,350,912`	0.004	0.996	0.000
rs2062305 lBF = `2.53248` Chr`13` : `43,052,880`	0.000	0.996	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`	0.003	0.996	0.000
rs6563739 lBF = `0.0802017` Chr`13` : `40,239,785`	0.004	0.996	0.000
rs9525625 lBF = `2.29591` Chr`13` : `43,018,030`	0.000	0.997	0.003
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.003	0.997	0.000
rs9596837 lBF = `0.0540929` Chr`13` : `54,258,063`	0.003	0.997	0.000
rs7328464 lBF = `0.182186` Chr`13` : `92,501,664`	0.000	0.997	0.003
rs2991396 lBF = `-0.0667686` Chr`13` : `67,889,386`	0.000	0.998	0.002
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs9540493 lBF = `0.203441` Chr`13` : `66,205,704`	0.000	0.998	0.002
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.002	0.998	0.000
rs9788333 lBF = `-0.0119888` Chr`13` : `21,876,096`	0.002	0.998	0.000
rs958546 lBF = `-0.0707991` Chr`13` : `46,833,717`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.002	0.998	0.000
rs4942486 lBF = `0.543847` Chr`13` : `32,953,388`	0.000	0.998	0.002
rs7984522 lBF = `-0.0297294` Chr`13` : `109,347,659`	0.000	0.998	0.002
rs12853515 lBF = `-0.0382816` Chr`13` : `111,781,060`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.002	0.998	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.002	0.998	0.000
rs16945184 lBF = `-0.0114295` Chr`13` : `91,755,199`	0.002	0.998	0.000
rs2785946 lBF = `-0.0938217` Chr`13` : `54,929,198`	0.002	0.998	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.002	0.998	0.000
rs9594759 lBF = `1.98815` Chr`13` : `43,032,593`	0.000	0.998	0.002
rs17057285 lBF = `-0.00026026` Chr`13` : `38,737,821`	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
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.000	0.998	0.001
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.001	0.998	0.000
rs35540212 lBF = `-0.0279034` Chr`13` : `36,768,682`	0.001	0.998	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.001	0.999	0.000
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rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs1326116 lBF = `-0.0573124` Chr`13` : `26,375,046`	0.000	1.000	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.000	1.000	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.000	1.000	0.000
rs17594362 lBF = `-0.0211249` Chr`13` : `42,139,245`	0.000	1.000	0.000
rs9534578 lBF = `-0.0245164` Chr`13` : `47,843,377`	0.000	1.000	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.000	1.000	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.000	1.000	0.000
rs1323612 lBF = `0.12918` Chr`13` : `43,291,289`	0.000	1.000	0.000
rs8002014 lBF = `0.0552479` Chr`13` : `58,358,159`	0.000	1.000	0.000
rs7987251 lBF = `0.0261308` Chr`13` : `60,279,818`	0.000	1.000	0.000
rs7986704 lBF = `0.0261308` Chr`13` : `60,279,546`	0.000	1.000	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	1.000	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	1.000	0.000
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	0.000	1.000	0.000
rs4771450 lBF = `-0.0844009` Chr`13` : `103,969,491`	0.000	1.000	0.000
rs17079247 lBF = `-0.0203209` Chr`13` : `85,665,879`	0.000	1.000	0.000
rs4773460 lBF = `-0.0614274` Chr`13` : `87,242,857`	0.000	1.000	0.000
rs7327673 lBF = `-0.0810812` Chr`13` : `106,439,366`	0.000	1.000	0.000
rs9531686 lBF = `-0.0895328` Chr`13` : `85,549,736`	0.000	1.000	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.000	1.000	0.000
rs9512755 lBF = `0.281975` Chr`13` : `28,158,229`	0.000	1.000	0.000
rs3118905 lBF = `0.126346` Chr`13` : `51,105,334`	0.000	1.000	0.000
rs3118906 lBF = `0.120464` Chr`13` : `51,106,788`	0.000	1.000	0.000
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.000	1.000	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.000	1.000	0.000
rs17718828 lBF = `-0.0215309` Chr`13` : `75,128,114`	0.000	1.000	0.000
rs1330598 lBF = `-0.0340981` Chr`13` : `61,933,131`	0.000	1.000	0.000
rs9542236 lBF = `-0.106427` Chr`13` : `31,819,325`	0.000	1.000	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.000	1.000	0.000
rs9596219 lBF = `0.31189` Chr`13` : `50,563,447`	0.000	1.000	0.000
rs9533962 lBF = `-0.0234044` Chr`13` : `45,334,194`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	1.000	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	0.000	1.000	0.000
rs2755237 lBF = `0.206837` Chr`13` : `41,109,429`	0.000	1.000	0.000
rs1155848 lBF = `0.0842416` Chr`13` : `79,888,476`	0.000	1.000	0.000
rs373767 lBF = `0.0146481` Chr`13` : `23,294,033`	0.000	1.000	0.000
rs11838472 lBF = `-0.0154451` Chr`13` : `73,741,149`	0.000	1.000	0.000
rs2036707 lBF = `-0.021407` Chr`13` : `108,484,454`	0.000	1.000	0.000
rs642899 lBF = `-0.0255755` Chr`13` : `33,680,854`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs17511627 lBF = `-0.060438` Chr`13` : `26,724,328`	0.000	1.000	0.000
rs4148546 lBF = `-0.095207` Chr`13` : `95,680,285`	0.000	1.000	0.000
rs2806946 lBF = `-0.126033` Chr`13` : `53,645,933`	0.000	1.000	0.000
rs12585310 lBF = `0.545178` Chr`13` : `27,528,347`	0.000	1.000	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.000	1.000	0.000
rs11149178 lBF = `0.0600419` Chr`13` : `81,357,671`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.000	1.000	0.000
rs9315204 lBF = `-0.0042702` Chr`13` : `33,693,837`	0.000	1.000	0.000
rs1218282 lBF = `-0.0182198` Chr`13` : `79,455,832`	0.000	1.000	0.000
rs72636617 lBF = `-0.0351031` Chr`13` : `95,075,219`	0.000	1.000	0.000
rs1923834 lBF = `-0.037854` Chr`13` : `28,360,487`	0.000	1.000	0.000
rs73197788 lBF = `-0.0401139` Chr`13` : `54,593,717`	0.000	1.000	0.000
rs6563695 lBF = `-0.0430247` Chr`13` : `39,903,243`	0.000	1.000	0.000
rs9919839 lBF = `-0.0581421` Chr`13` : `72,174,353`	0.000	1.000	0.000
rs1497062 lBF = `-0.062223` Chr`13` : `82,581,442`	0.000	1.000	0.000
rs8002861 lBF = `-0.0862864` Chr`13` : `44,474,517`	0.000	1.000	0.000
rs3116602 lBF = `3.86436` Chr`13` : `51,111,355`	0.000	1.000	0.000
rs3118914 lBF = `3.81812` Chr`13` : `51,116,901`	0.000	1.000	0.000
rs1262778 lBF = `2.84638` Chr`13` : `51,066,623`	0.000	1.000	0.000
rs9594738 lBF = `0.470652` Chr`13` : `42,952,145`	0.000	1.000	0.000
rs8001611 lBF = `0.358842` Chr`13` : `42,965,694`	0.000	1.000	0.000
rs2687950 lBF = `0.261575` Chr`13` : `50,718,468`	0.000	1.000	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.000	1.000	0.000
rs2483374 lBF = `-0.00709926` Chr`13` : `25,533,831`	0.000	1.000	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	1.000	0.000
rs319564 lBF = `-0.0148095` Chr`13` : `93,832,879`	0.000	1.000	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	1.000	0.000
rs9535307 lBF = `-0.0456365` Chr`13` : `50,291,842`	0.000	1.000	0.000
rs17051917 lBF = `-0.0654832` Chr`13` : `35,768,789`	0.000	1.000	0.000
rs7992643 lBF = `-0.0720002` Chr`13` : `100,555,038`	0.000	1.000	0.000
rs4771996 lBF = `-0.099928` Chr`13` : `98,053,792`	0.000	1.000	0.000
rs9548050 lBF = `-0.113698` Chr`13` : `38,363,450`	0.000	1.000	0.000
rs3095527 lBF = `8.71437` Chr`13` : `51,170,755`	0.000	1.000	0.000
rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.000	1.000	0.000
rs188014 lBF = `0.290841` Chr`13` : `50,969,923`	0.000	1.000	0.000
rs9525916 lBF = `0.17004` Chr`13` : `44,702,869`	0.000	1.000	0.000
rs9552416 lBF = `0.11584` Chr`13` : `19,311,241`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs7984966 lBF = `-0.0111934` Chr`13` : `47,429,446`	0.000	1.000	0.000
rs3790022 lBF = `-0.0147772` Chr`13` : `51,576,170`	0.000	1.000	0.000
rs9574199 lBF = `-0.0436702` Chr`13` : `78,808,914`	0.000	1.000	0.000
rs11619878 lBF = `-0.0616792` Chr`13` : `66,212,020`	0.000	1.000	0.000
rs9595066 lBF = `-0.0621154` Chr`13` : `44,706,268`	0.000	1.000	0.000
rs61970269 lBF = `-0.0695155` Chr`13` : `91,732,770`	0.000	1.000	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.000	1.000	0.000
rs2323266 lBF = `0.322191` Chr`13` : `61,965,303`	0.000	1.000	0.000
rs12429889 lBF = `0.314078` Chr`13` : `74,742,322`	0.000	1.000	0.000
rs10507577 lBF = `0.213039` Chr`13` : `53,968,091`	0.000	1.000	0.000
rs9301951 lBF = `0.0932238` Chr`13` : `94,952,832`	0.000	1.000	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.000	1.000	0.000
rs9512900 lBF = `-0.02378` Chr`13` : `28,429,738`	0.000	1.000	0.000
rs3736830 lBF = `-0.02483` Chr`13` : `50,306,221`	0.000	1.000	0.000
rs17065868 lBF = `-0.0279768` Chr`13` : `45,055,091`	0.000	1.000	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.000	1.000	0.000
rs17369571 lBF = `-0.0334698` Chr`13` : `22,487,625`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7049

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.4175

Cluster X0027

log Bayes Factor = 25.8087

contains 2 variants

0.4018

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2378

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9959

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9924

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9920

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9834

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9821

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9799

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9766

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9765

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9650

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9621

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9527

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9524

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9466

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9447

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9314

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9308

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9304

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9283

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9177

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9079

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9072

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8939

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8817

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8802

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8696

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8689

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8685

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8620

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8597

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8563

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8555

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8414

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8343

Cluster X0252

log Bayes Factor = 170.729

contains 6 variants

0.8277

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8254

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8219

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8159

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8140

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8120

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8037

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8013

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7961

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7933

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7889

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7717

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7664

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7638

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7616

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7602

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7512

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7486

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7459

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7410

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7322

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7259

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6925

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6908

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6683

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6623

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6623

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6588

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6543

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6497

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6127

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5845

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5496

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5208

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5039

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4931

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4861

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4734

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4639

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4554

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4522

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4482

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4055

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3985

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3963

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3830

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3597

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3422

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3289

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3259

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3230

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2964

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2887

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2880

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2836

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2804

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2794

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2785

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2753

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2632

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2620

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2450

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2389

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2280

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2231

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2226

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2217

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2162

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2129

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2068

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2066

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1824

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1803

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1774

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1614

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1426

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1324

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1308

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1227

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1210

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1116

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1111

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1021

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0968

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0968

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0922

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0787

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0775

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0715

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0700

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0648

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0608

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0561

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0559

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0531

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`)