TreeWAS – [K43.5] Parastomal hernia without obstruction or gangrene

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
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.707	0.293	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.693	0.306	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.688	0.312	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.681	0.319	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.658	0.341	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.645	0.354	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.554	0.446	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.541	0.459	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.533	0.467	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.517	0.483	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.512	0.488	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.490	0.510	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.459	0.541	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.456	0.543	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.446	0.554	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.418	0.582	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.407	0.593	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.407	0.593	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.403	0.597	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.403	0.597	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.400	0.600	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.392	0.608	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.367	0.633	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.353	0.647	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.332	0.668	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.330	0.669	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.325	0.675	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.323	0.677	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.307	0.693	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.307	0.693	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.300	0.700	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.287	0.713	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.279	0.721	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.277	0.723	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.269	0.731	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.260	0.740	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.258	0.742	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.242	0.757	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.231	0.769	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.225	0.775	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.222	0.777	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.222	0.778	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.222	0.778	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.206	0.793	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.199	0.801	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.190	0.810	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.177	0.823	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.172	0.827	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.170	0.830	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.166	0.834	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.166	0.834	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.160	0.840	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.158	0.842	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.138	0.862	0.000
rs7325799 lBF = `0.132576` Chr`13` : `47,128,601`	0.137	0.863	0.000
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.136	0.863	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.131	0.869	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.131	0.869	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.124	0.876	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.119	0.880	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.117	0.883	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.113	0.886	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.109	0.891	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.109	0.891	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.106	0.894	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.100	0.899	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.097	0.903	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.094	0.906	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.091	0.909	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.090	0.910	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.089	0.911	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.084	0.916	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.083	0.917	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.078	0.921	0.001
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.072	0.928	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.070	0.930	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.069	0.931	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.060	0.939	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.046	0.954	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.046	0.954	0.000
rs1324913 lBF = `0.00875858` Chr`13` : `74,635,588`	0.046	0.954	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.043	0.956	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.042	0.957	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.040	0.960	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.040	0.960	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.039	0.961	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.035	0.964	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.031	0.969	0.000
rs9531006 lBF = `0.00151083` Chr`13` : `80,551,563`	0.000	0.970	0.030
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.029	0.971	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.027	0.973	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.025	0.975	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.025	0.975	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.023	0.976	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.023	0.977	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.022	0.977	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.021	0.978	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.021	0.979	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.019	0.980	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.016	0.984	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.014	0.986	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.010	0.986	0.004
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.013	0.987	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.012	0.988	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.011	0.988	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.011	0.989	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.008	0.992	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.008	0.992	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.008	0.992	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.008	0.992	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.008	0.992	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.007	0.992	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.007	0.993	0.000
rs9599403 lBF = `0.032534` Chr`13` : `69,676,334`	0.007	0.993	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.007	0.993	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.006	0.994	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.006	0.994	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`	0.005	0.995	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.005	0.995	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.004	0.995	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.004	0.995	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.004	0.995	0.001
rs573666 lBF = `0.247218` Chr`13` : `51,194,405`	0.004	0.995	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.004	0.996	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.004	0.996	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.004	0.996	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.004	0.996	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.996	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.000	0.996	0.003
rs9599394 lBF = `0.0800155` Chr`13` : `69,659,760`	0.003	0.996	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.003	0.997	0.000
rs9513675 lBF = `-0.0960263` Chr`13` : `100,493,160`	0.000	0.997	0.003
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.003	0.997	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.003	0.997	0.000
rs7328278 lBF = `0.0487745` Chr`13` : `36,351,766`	0.003	0.997	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.003	0.997	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.003	0.997	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.003	0.997	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.997	0.003
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.003	0.997	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.003	0.997	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.003	0.997	0.000
rs17065868 lBF = `-0.0279768` Chr`13` : `45,055,091`	0.002	0.998	0.000
rs4773054 lBF = `-0.00277264` Chr`13` : `110,154,028`	0.002	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.002	0.998	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.002	0.998	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.002	0.998	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.001	0.998	0.001
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.002	0.998	0.000
rs9316500 lBF = `1.74026` Chr`13` : `51,094,114`	0.000	0.998	0.002
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.002	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs4771859 lBF = `-0.071821` Chr`13` : `93,088,651`	0.000	0.998	0.002
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.001	0.998	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.001	0.998	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.001	0.998	0.000
rs6561750 lBF = `0.123951` Chr`13` : `54,435,237`	0.000	0.998	0.001
rs915286 lBF = `-0.085443` Chr`13` : `40,695,992`	0.000	0.999	0.001
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs9512637 lBF = `0.153392` Chr`13` : `27,920,611`	0.001	0.999	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.001	0.999	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.001	0.999	0.000
rs2762051 lBF = `-0.0685734` Chr`13` : `50,835,715`	0.001	0.999	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.001	0.999	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.001	0.999	0.000
rs2798269 lBF = `-0.0379506` Chr`13` : `22,131,897`	0.001	0.999	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.001	0.999	0.000
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
rs641862 lBF = `0.00003313` Chr`13` : `110,790,232`	0.001	0.999	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.001	0.999	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	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
rs141008343 lBF = `0.00000448` Chr`13` : `68,309,045`	0.001	0.999	0.000
rs9324268 lBF = `0` Chr`13` : `112,836,655`	0.001	0.999	0.001
rs7140110 lBF = `0` Chr`13` : `114,544,024`	0.001	0.999	0.001
rs182426545 lBF = `0` Chr`13` : `64,093,345`	0.001	0.999	0.001
rs555212 lBF = `0` Chr`13` : `113,756,540`	0.001	0.999	0.001
rs187785117 lBF = `0` Chr`13` : `49,149,871`	0.001	0.999	0.001
rs141318698 lBF = `0` Chr`13` : `68,234,959`	0.001	0.999	0.001
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
rs1012053 lBF = `0` Chr`13` : `42,653,437`	0.001	0.999	0.001
rs10665 lBF = `0` Chr`13` : `113,752,831`	0.001	0.999	0.001
rs11838918 lBF = `0` Chr`13` : `79,410,574`	0.001	0.999	0.001
rs9522267 lBF = `0` Chr`13` : `112,196,367`	0.001	0.999	0.001
rs146168866 lBF = `0` Chr`13` : `113,966,989`	0.001	0.999	0.001
rs148788110 lBF = `0` Chr`13` : `68,366,201`	0.001	0.999	0.001
rs4907479 lBF = `0` Chr`13` : `113,659,108`	0.001	0.999	0.001
rs9555810 lBF = `0` Chr`13` : `112,181,437`	0.001	0.999	0.001
rs6041 lBF = `0` Chr`13` : `113,772,707`	0.001	0.999	0.001
rs141455065 lBF = `0` Chr`13` : `68,285,492`	0.001	0.999	0.001
rs138128600 lBF = `0` Chr`13` : `73,764,625`	0.001	0.999	0.001
rs9577729 lBF = `0` Chr`13` : `113,020,757`	0.001	0.999	0.001
rs9604529 lBF = `0` Chr`13` : `114,622,597`	0.001	0.999	0.001
rs190312121 lBF = `0` Chr`13` : `19,731,544`	0.001	0.999	0.001
rs561241 lBF = `0` Chr`13` : `113,760,034`	0.001	0.999	0.001
rs944899 lBF = `0` Chr`13` : `112,750,961`	0.001	0.999	0.001
rs9329350 lBF = `0` Chr`13` : `114,507,239`	0.001	0.999	0.001
rs1340490 lBF = `0` Chr`13` : `64,064,588`	0.001	0.999	0.001
rs2181540 lBF = `0` Chr`13` : `113,753,164`	0.001	0.999	0.001
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rs10507577 lBF = `0.213039` Chr`13` : `53,968,091`	0.000	1.000	0.000
rs9525916 lBF = `0.17004` Chr`13` : `44,702,869`	0.000	1.000	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.000	1.000	0.000
rs349114 lBF = `0.104381` Chr`13` : `98,203,727`	0.000	1.000	0.000
rs7335631 lBF = `0.0897623` Chr`13` : `30,957,688`	0.000	1.000	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs1928007 lBF = `0.0299463` Chr`13` : `70,810,223`	0.000	1.000	0.000
rs2148072 lBF = `0.0194161` Chr`13` : `43,162,063`	0.000	1.000	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.000	1.000	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.000	1.000	0.000
rs17649135 lBF = `0.00345178` Chr`13` : `57,994,710`	0.000	1.000	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	1.000	0.000
rs7338174 lBF = `-0.00061928` Chr`13` : `51,924,375`	0.000	1.000	0.000
rs1006064 lBF = `-0.00100883` Chr`13` : `51,846,605`	0.000	1.000	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.000	1.000	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.000	1.000	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	1.000	0.000
rs7324845 lBF = `-0.0123017` Chr`13` : `46,703,142`	0.000	1.000	0.000
rs1218282 lBF = `-0.0182198` Chr`13` : `79,455,832`	0.000	1.000	0.000
rs2036707 lBF = `-0.021407` Chr`13` : `108,484,454`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs79972364 lBF = `-0.0282665` Chr`13` : `101,831,748`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs741668 lBF = `-0.0512415` Chr`13` : `46,516,468`	0.000	1.000	0.000
rs3106598 lBF = `-0.0639725` Chr`13` : `61,678,912`	0.000	1.000	0.000
rs1550546 lBF = `-0.0725951` Chr`13` : `70,658,404`	0.000	1.000	0.000
rs1441264 lBF = `-0.100188` Chr`13` : `79,580,919`	0.000	1.000	0.000
rs11616947 lBF = `8.69216` Chr`13` : `107,900,049`	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
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
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	1.000	0.000
rs7332115 lBF = `0.86443` Chr`13` : `33,147,548`	0.000	1.000	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.000	1.000	0.000
rs9595908 lBF = `0.339609` Chr`13` : `33,184,288`	0.000	1.000	0.000
rs9533090 lBF = `0.311508` Chr`13` : `42,951,449`	0.000	1.000	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.000	1.000	0.000
rs12429545 lBF = `0.248866` Chr`13` : `54,102,206`	0.000	1.000	0.000
rs9568867 lBF = `0.205963` Chr`13` : `54,107,352`	0.000	1.000	0.000
rs7328464 lBF = `0.182186` Chr`13` : `92,501,664`	0.000	1.000	0.000
rs718444 lBF = `0.179442` Chr`13` : `33,147,052`	0.000	1.000	0.000
rs35058679 lBF = `0.103442` Chr`13` : `96,145,379`	0.000	1.000	0.000
rs17070284 lBF = `0.0707246` Chr`13` : `79,359,424`	0.000	1.000	0.000
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.000	1.000	0.000
rs9510787 lBF = `0.0167471` Chr`13` : `24,205,195`	0.000	1.000	0.000
rs9596863 lBF = `-0.00138453` Chr`13` : `54,434,647`	0.000	1.000	0.000
rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.000	1.000	0.000
rs7324021 lBF = `-0.00440337` Chr`13` : `20,637,140`	0.000	1.000	0.000
rs17648246 lBF = `-0.00487677` Chr`13` : `45,493,881`	0.000	1.000	0.000
rs9599293 lBF = `-0.0073785` Chr`13` : `35,165,390`	0.000	1.000	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	1.000	0.000
rs9634489 lBF = `-0.018318` Chr`13` : `97,049,004`	0.000	1.000	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	1.000	0.000
rs1239947 lBF = `-0.0197112` Chr`13` : `51,106,555`	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
rs732949 lBF = `-0.0237753` Chr`13` : `53,517,884`	0.000	1.000	0.000
rs8001976 lBF = `-0.0239032` Chr`13` : `48,387,722`	0.000	1.000	0.000
rs9581094 lBF = `-0.0257043` Chr`13` : `25,082,630`	0.000	1.000	0.000
rs1161463 lBF = `-0.0261927` Chr`13` : `29,431,338`	0.000	1.000	0.000
rs9317284 lBF = `-0.0274082` Chr`13` : `63,634,350`	0.000	1.000	0.000
rs16946160 lBF = `-0.0293461` Chr`13` : `92,203,813`	0.000	1.000	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	1.000	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	0.000	1.000	0.000
rs71440053 lBF = `-0.0369171` Chr`13` : `110,829,882`	0.000	1.000	0.000
rs1923834 lBF = `-0.037854` Chr`13` : `28,360,487`	0.000	1.000	0.000
rs8000245 lBF = `-0.0460945` Chr`13` : `74,730,392`	0.000	1.000	0.000
rs1497062 lBF = `-0.062223` Chr`13` : `82,581,442`	0.000	1.000	0.000
rs185694 lBF = `-0.071821` Chr`13` : `30,885,223`	0.000	1.000	0.000
rs609418 lBF = `-0.0817155` Chr`13` : `37,417,427`	0.000	1.000	0.000
rs9506942 lBF = `-0.0916619` Chr`13` : `23,412,589`	0.000	1.000	0.000
rs4773144 lBF = `-0.099209` Chr`13` : `110,960,712`	0.000	1.000	0.000
rs7984869 lBF = `-0.10427` Chr`13` : `86,690,527`	0.000	1.000	0.000
rs3809346 lBF = `-0.110285` Chr`13` : `110,960,943`	0.000	1.000	0.000
rs2806971 lBF = `-0.121707` Chr`13` : `53,653,856`	0.000	1.000	0.000
rs2806974 lBF = `-0.122123` Chr`13` : `53,659,930`	0.000	1.000	0.000
rs2246208 lBF = `-0.127081` Chr`13` : `53,652,128`	0.000	1.000	0.000
rs1343607 lBF = `-0.135944` Chr`13` : `53,645,448`	0.000	1.000	0.000
rs2806949 lBF = `-0.136219` Chr`13` : `53,646,138`	0.000	1.000	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	1.000	0.000
rs12873154 lBF = `5.39657` Chr`13` : `110,920,852`	0.000	1.000	0.000
rs7335046 lBF = `3.79919` Chr`13` : `100,041,738`	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
rs1549059 lBF = `1.68901` Chr`13` : `106,249,309`	0.000	1.000	0.000
rs941823 lBF = `1.21705` Chr`13` : `41,013,977`	0.000	1.000	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	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
rs2293941 lBF = `0.55605` Chr`13` : `28,491,198`	0.000	1.000	0.000
rs9594738 lBF = `0.470652` Chr`13` : `42,952,145`	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
rs9510661 lBF = `0.353113` Chr`13` : `23,851,799`	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 X0207

log Bayes Factor = 94.6548

contains 2 variants

0.7169

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1154

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7021

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7014

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7012

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6989

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6926

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6900

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6866

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6824

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6766

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.6647

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6585

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6517

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6469

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6423

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6318

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6202

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6176

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6067

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5988

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5857

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5722

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5609

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5405

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5368

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5307

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4948

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4793

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4789

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4569

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4527

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4500

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4383

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4063

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3961

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3958

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3887

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3863

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3781

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3482

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3445

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3113

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3104

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2775

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2754

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2746

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2621

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2551

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2535

Cluster X0285

log Bayes Factor = 52.7353

contains 4 variants

0.2519

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2457

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2396

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2354

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2344

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2301

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2079

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2011

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1934

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1768

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1751

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1734

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1724

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1682

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1669

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1624

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1609

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1546

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1520

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1515

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1487

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1410

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1337

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1327

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1288

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1278

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1222

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1214

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1200

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1122

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1097

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1083

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1010

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0976

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0950

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0937

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0916

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0909

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0751

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0743

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0717

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0711

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0701

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0698

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0679

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0663

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0653

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0627

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0627

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0614

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0609

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0559

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0510

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`)