TreeWAS – [I45.2] Bifascicular block

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
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.795	0.205	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.738	0.262	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.710	0.290	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.643	0.357	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.635	0.365	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.630	0.370	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.627	0.373	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.609	0.391	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.600	0.400	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.591	0.409	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.591	0.409	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.587	0.413	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.567	0.433	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.562	0.437	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.440	0.560
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.545	0.455	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.533	0.466	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.528	0.472	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.524	0.476	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.519	0.481	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.516	0.484	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.515	0.485	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.511	0.489	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.504	0.496	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.503	0.497	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.499	0.501	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.499	0.501	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.496	0.504	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.493	0.507	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.489	0.510	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.488	0.512	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.485	0.515	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.481	0.519	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.478	0.521	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.478	0.522	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.476	0.524	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.474	0.526	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.471	0.529	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.470	0.529	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.467	0.532	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.464	0.536	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.457	0.543	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.454	0.546	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.449	0.550	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.448	0.551	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.444	0.556	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.440	0.560	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.434	0.566	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.420	0.580	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.414	0.586	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.403	0.597	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.402	0.598	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.400	0.600	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.393	0.607	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.391	0.608	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.391	0.609	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.389	0.611	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.388	0.611	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.388	0.611	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.388	0.612	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.383	0.617	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.381	0.619	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.377	0.623	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.374	0.626	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.370	0.630	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.364	0.636	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	0.651	0.349
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.341	0.659	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.338	0.662	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.332	0.668	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.329	0.671	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.328	0.672	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.315	0.685	0.000
rs9510661 lBF = `0.353113` Chr`13` : `23,851,799`	0.309	0.691	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.298	0.701	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.285	0.715	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.284	0.716	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.282	0.717	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.278	0.722	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.255	0.745	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.249	0.751	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.242	0.757	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.238	0.761	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.235	0.765	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.214	0.785	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.209	0.791	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.207	0.793	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.203	0.797	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.201	0.798	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.182	0.818	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.170	0.830	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.143	0.857	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.116	0.883	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.106	0.894	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.093	0.906	0.001
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.086	0.914	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.074	0.925	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.070	0.930	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.057	0.942	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.052	0.948	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.050	0.950	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.043	0.956	0.001
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.036	0.964	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.031	0.968	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.029	0.971	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.023	0.977	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.020	0.979	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.018	0.982	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.017	0.982	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.015	0.985	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.013	0.987	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.012	0.988	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.012	0.988	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.009	0.989	0.002
rs17065868 lBF = `-0.0279768` Chr`13` : `45,055,091`	0.011	0.989	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.011	0.989	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.010	0.989	0.000
rs56404467 lBF = `0.0153721` Chr`13` : `32,839,990`	0.010	0.989	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.010	0.990	0.000
rs1549059 lBF = `1.68901` Chr`13` : `106,249,309`	0.010	0.990	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.009	0.991	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.008	0.992	0.000
rs9584669 lBF = `0.111773` Chr`13` : `98,363,482`	0.007	0.993	0.000
rs7331540 lBF = `-0.0154477` Chr`13` : `32,710,520`	0.007	0.993	0.000
rs7984606 lBF = `0.00767471` Chr`13` : `70,455,661`	0.006	0.994	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.006	0.994	0.000
rs2027099 lBF = `0.0452098` Chr`13` : `67,043,092`	0.000	0.994	0.006
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.006	0.994	0.000
rs7325799 lBF = `0.132576` Chr`13` : `47,128,601`	0.006	0.994	0.000
rs9301951 lBF = `0.0932238` Chr`13` : `94,952,832`	0.000	0.994	0.005
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.004	0.994	0.001
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.995	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.005	0.995	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.005	0.995	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.005	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.005	0.995	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.004	0.995	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.004	0.996	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.004	0.996	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.004	0.996	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.003	0.996	0.000
rs2798269 lBF = `-0.0379506` Chr`13` : `22,131,897`	0.004	0.996	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.000	0.997	0.003
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.003	0.997	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.003	0.997	0.000
rs11618202 lBF = `0.0119955` Chr`13` : `31,113,379`	0.003	0.997	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.001	0.997	0.002
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.002	0.997	0.000
rs2555603 lBF = `-0.0119412` Chr`13` : `33,798,262`	0.000	0.998	0.002
rs2036707 lBF = `-0.021407` Chr`13` : `108,484,454`	0.002	0.998	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.002	0.998	0.000
rs79709413 lBF = `0.0165564` Chr`13` : `25,314,626`	0.000	0.998	0.002
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.002	0.998	0.000
rs1370053 lBF = `0.00250351` Chr`13` : `58,514,665`	0.000	0.998	0.002
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.002	0.998	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.002	0.998	0.000
rs1441264 lBF = `-0.100188` Chr`13` : `79,580,919`	0.000	0.998	0.002
rs17718828 lBF = `-0.0215309` Chr`13` : `75,128,114`	0.002	0.998	0.000
rs4770394 lBF = `0.00588362` Chr`13` : `23,692,978`	0.002	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.002	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.998	0.000
rs17648246 lBF = `-0.00487677` Chr`13` : `45,493,881`	0.001	0.998	0.000
rs17534004 lBF = `-0.0236867` Chr`13` : `31,469,665`	0.001	0.998	0.000
rs3809346 lBF = `-0.110285` Chr`13` : `110,960,943`	0.001	0.999	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.001	0.999	0.000
rs12585963 lBF = `-0.0233729` Chr`13` : `59,953,466`	0.001	0.999	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.001	0.999	0.000
rs4773144 lBF = `-0.099209` Chr`13` : `110,960,712`	0.001	0.999	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	0.999	0.001
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.001	0.999	0.000
rs7331194 lBF = `-0.0736022` Chr`13` : `106,100,393`	0.000	0.999	0.001
rs9538439 lBF = `-0.0463927` Chr`13` : `60,066,560`	0.001	0.999	0.000
rs4771122 lBF = `0.0536677` Chr`13` : `28,020,180`	0.000	0.999	0.001
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.001	0.999	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.000	0.999	0.001
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.001	0.999	0.000
rs4886088 lBF = `-0.0643618` Chr`13` : `59,128,526`	0.001	0.999	0.000
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	0.999	0.001
rs17649135 lBF = `0.00345178` Chr`13` : `57,994,710`	0.001	0.999	0.000
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.001	0.999	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.001	0.999	0.000
rs1239954 lBF = `0.0002883` Chr`13` : `51,119,137`	0.001	0.999	0.000
rs9536591 lBF = `-0.0990323` Chr`13` : `54,581,087`	0.000	0.999	0.001
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.999	0.001
rs17371334 lBF = `0.0660533` Chr`13` : `85,032,327`	0.001	0.999	0.000
rs146346907 lBF = `0.00013263` Chr`13` : `109,033,271`	0.001	0.999	0.001
rs148342344 lBF = `0.00005062` Chr`13` : `68,263,279`	0.001	0.999	0.000
rs141008343 lBF = `0.00000448` Chr`13` : `68,309,045`	0.001	0.999	0.000
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
rs182426545 lBF = `0` Chr`13` : `64,093,345`	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
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
rs10665 lBF = `0` Chr`13` : `113,752,831`	0.001	0.999	0.001
rs146168866 lBF = `0` Chr`13` : `113,966,989`	0.001	0.999	0.001
rs11838918 lBF = `0` Chr`13` : `79,410,574`	0.001	0.999	0.001
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rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	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
rs571411 lBF = `0.0034058` Chr`13` : `34,903,092`	0.000	1.000	0.000
rs9315204 lBF = `-0.0042702` Chr`13` : `33,693,837`	0.000	1.000	0.000
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.000	1.000	0.000
rs11838472 lBF = `-0.0154451` Chr`13` : `73,741,149`	0.000	1.000	0.000
rs12583965 lBF = `-0.0157985` Chr`13` : `78,808,813`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	1.000	0.000
rs814141 lBF = `-0.0324034` Chr`13` : `109,511,059`	0.000	1.000	0.000
rs71440053 lBF = `-0.0369171` Chr`13` : `110,829,882`	0.000	1.000	0.000
rs9584805 lBF = `-0.0405176` Chr`13` : `98,994,030`	0.000	1.000	0.000
rs7327673 lBF = `-0.0810812` Chr`13` : `106,439,366`	0.000	1.000	0.000
rs4148546 lBF = `-0.095207` Chr`13` : `95,680,285`	0.000	1.000	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.000	1.000	0.000
rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.000	1.000	0.000
rs9568867 lBF = `0.205963` Chr`13` : `54,107,352`	0.000	1.000	0.000
rs9536463 lBF = `0.1609` Chr`13` : `54,132,247`	0.000	1.000	0.000
rs10492494 lBF = `0.136868` Chr`13` : `74,920,186`	0.000	1.000	0.000
rs17064136 lBF = `0.0807938` Chr`13` : `21,815,869`	0.000	1.000	0.000
rs6563739 lBF = `0.0802017` Chr`13` : `40,239,785`	0.000	1.000	0.000
rs9599293 lBF = `-0.0073785` Chr`13` : `35,165,390`	0.000	1.000	0.000
rs319564 lBF = `-0.0148095` Chr`13` : `93,832,879`	0.000	1.000	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	1.000	0.000
rs11841001 lBF = `-0.019701` Chr`13` : `76,249,103`	0.000	1.000	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs1590305 lBF = `-0.0249349` Chr`13` : `38,035,189`	0.000	1.000	0.000
rs17538444 lBF = `-0.0368705` Chr`13` : `43,834,270`	0.000	1.000	0.000
rs7322916 lBF = `-0.0656561` Chr`13` : `26,007,977`	0.000	1.000	0.000
rs7336933 lBF = `-0.0666056` Chr`13` : `42,559,076`	0.000	1.000	0.000
rs2149423 lBF = `-0.0696858` Chr`13` : `36,772,381`	0.000	1.000	0.000
rs185694 lBF = `-0.071821` Chr`13` : `30,885,223`	0.000	1.000	0.000
rs9314986 lBF = `2.19433` Chr`13` : `30,458,737`	0.000	1.000	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.000	1.000	0.000
rs9595908 lBF = `0.339609` Chr`13` : `33,184,288`	0.000	1.000	0.000
rs718444 lBF = `0.179442` Chr`13` : `33,147,052`	0.000	1.000	0.000
rs9316337 lBF = `0.164751` Chr`13` : `21,962,207`	0.000	1.000	0.000
rs150841795 lBF = `0.142928` Chr`13` : `54,137,749`	0.000	1.000	0.000
rs1335882 lBF = `0.0445703` Chr`13` : `56,832,272`	0.000	1.000	0.000
rs2875517 lBF = `0.0316769` Chr`13` : `67,696,145`	0.000	1.000	0.000
rs1347190 lBF = `0.0223604` Chr`13` : `100,648,099`	0.000	1.000	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	1.000	0.000
rs9580312 lBF = `0.00270428` Chr`13` : `22,754,093`	0.000	1.000	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.000	1.000	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.000	1.000	0.000
rs9581094 lBF = `-0.0257043` Chr`13` : `25,082,630`	0.000	1.000	0.000
rs6563353 lBF = `-0.0259769` Chr`13` : `84,130,232`	0.000	1.000	0.000
rs7317940 lBF = `-0.0305334` Chr`13` : `78,021,218`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs1886512 lBF = `-0.0501158` Chr`13` : `74,520,186`	0.000	1.000	0.000
rs1497062 lBF = `-0.062223` Chr`13` : `82,581,442`	0.000	1.000	0.000
rs2044117 lBF = `-0.0720176` Chr`13` : `101,708,310`	0.000	1.000	0.000
rs9533799 lBF = `-0.117337` Chr`13` : `44,808,174`	0.000	1.000	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.000	1.000	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.000	1.000	0.000
rs1927745 lBF = `0.173043` Chr`13` : `107,780,316`	0.000	1.000	0.000
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.000	1.000	0.000
rs7989336 lBF = `0.0612583` Chr`13` : `97,017,548`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs1928007 lBF = `0.0299463` Chr`13` : `70,810,223`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs984300 lBF = `0.0139206` Chr`13` : `109,455,835`	0.000	1.000	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.000	1.000	0.000
rs2483374 lBF = `-0.00709926` Chr`13` : `25,533,831`	0.000	1.000	0.000
rs59876823 lBF = `-0.00911228` Chr`13` : `100,734,524`	0.000	1.000	0.000
rs4148441 lBF = `-0.00913378` Chr`13` : `95,898,207`	0.000	1.000	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs728926 lBF = `-0.0254835` Chr`13` : `74,513,122`	0.000	1.000	0.000
rs79972364 lBF = `-0.0282665` Chr`13` : `101,831,748`	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
rs2812197 lBF = `-0.0321749` Chr`13` : `50,817,826`	0.000	1.000	0.000
rs12853515 lBF = `-0.0382816` Chr`13` : `111,781,060`	0.000	1.000	0.000
rs9573330 lBF = `-0.0480678` Chr`13` : `74,518,210`	0.000	1.000	0.000
rs9525562 lBF = `-0.0535594` Chr`13` : `42,611,667`	0.000	1.000	0.000
rs7097 lBF = `-0.0579812` Chr`13` : `28,197,436`	0.000	1.000	0.000
rs17490056 lBF = `-0.0918619` Chr`13` : `66,726,903`	0.000	1.000	0.000
rs9521597 lBF = `-0.0939181` Chr`13` : `110,754,667`	0.000	1.000	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.000	1.000	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.000	1.000	0.000
rs7333607 lBF = `5.77738` Chr`13` : `37,462,010`	0.000	1.000	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.000	1.000	0.000
rs7332115 lBF = `0.86443` Chr`13` : `33,147,548`	0.000	1.000	0.000
rs188014 lBF = `0.290841` Chr`13` : `50,969,923`	0.000	1.000	0.000
rs6561750 lBF = `0.123951` Chr`13` : `54,435,237`	0.000	1.000	0.000
rs9554752 lBF = `0.111562` Chr`13` : `101,726,313`	0.000	1.000	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.000	1.000	0.000
rs9556958 lBF = `0.0920075` Chr`13` : `99,100,046`	0.000	1.000	0.000
rs2440012 lBF = `0.0835384` Chr`13` : `19,440,123`	0.000	1.000	0.000
rs1926657 lBF = `0.0582323` Chr`13` : `95,874,956`	0.000	1.000	0.000
rs12018439 lBF = `0.028387` Chr`13` : `85,391,073`	0.000	1.000	0.000
rs975739 lBF = `-0.00282109` Chr`13` : `78,381,146`	0.000	1.000	0.000
rs688872 lBF = `-0.00713596` Chr`13` : `98,966,317`	0.000	1.000	0.000
rs9546312 lBF = `-0.0136508` Chr`13` : `83,746,951`	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.5722

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2674

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0871

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.0870

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9829

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9764

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9563

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9504

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9485

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9463

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9389

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9350

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9281

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9252

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9218

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9144

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9083

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9056

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8977

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8972

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8949

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8932

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8932

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8920

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8853

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8796

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8785

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8742

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8716

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8620

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8611

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8606

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8591

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8552

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8534

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8476

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8439

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8436

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8427

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8424

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8415

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8334

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8278

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8238

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8227

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8199

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8189

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8141

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8133

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8054

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7983

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7965

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7945

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7929

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7782

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7667

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7655

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7602

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7584

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7527

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7487

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7447

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7352

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7342

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7339

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.7277

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7242

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7227

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7164

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7156

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7154

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7149

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7107

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7099

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7083

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7025

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7024

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7021

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7003

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6985

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6973

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6967

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6934

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6885

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6817

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6766

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6748

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6732

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6698

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6599

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6373

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6366

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6364

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6231

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6195

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6168

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6127

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6127

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6099

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6077

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.6034

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5994

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5901

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5892

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5825

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5801

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5796

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5751

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5548

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5459

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.5351

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5347

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5140

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4930

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4876

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4746

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4736

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4660

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4542

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4458

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4437

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4276

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4214

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4106

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4100

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3860

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3776

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3630

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3051

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3042

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3007

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2923

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2923

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2807

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2654

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2617

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2604

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2567

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2489

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2456

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2257

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2090

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1967

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1962

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1866

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1791

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.1441

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1421

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1342

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0912

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0786

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0534

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`)