TreeWAS – [I71.4] Abdominal aortic aneurysm, without mention of rupture

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
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.852	0.148	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.851	0.149	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.842	0.158	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.730	0.270	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.687	0.313	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.682	0.318	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.670	0.330	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.657	0.343	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.654	0.346	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.648	0.352	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.635	0.365	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.621	0.379	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.619	0.381	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.607	0.393	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.598	0.402	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.597	0.403	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.591	0.409	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.590	0.410	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.575	0.425	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.563	0.437	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.558	0.442	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.549	0.451	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.544	0.455	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.542	0.458	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.530	0.470	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.527	0.472	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.520	0.480	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.501	0.499	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.493	0.507	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.482	0.518	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.470	0.530	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.454	0.545	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.446	0.554	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.434	0.566	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.433	0.567	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.433	0.567	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.423	0.577	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.422	0.577	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.415	0.585	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.408	0.592	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.401	0.599	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.395	0.605	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.388	0.611	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.388	0.612	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.385	0.615	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.385	0.615	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.383	0.617	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.373	0.627	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.369	0.631	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.369	0.631	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.364	0.636	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.360	0.640	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.352	0.648	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.349	0.650	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.348	0.652	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.347	0.653	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.342	0.658	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.336	0.664	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.335	0.665	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.330	0.669	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.328	0.671	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.327	0.673	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.318	0.682	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.310	0.689	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.306	0.693	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.303	0.696	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.299	0.701	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.293	0.707	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.292	0.707	0.001
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.290	0.710	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.285	0.715	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.283	0.717	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.273	0.727	0.001
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.268	0.732	0.001
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.268	0.732	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.267	0.733	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.263	0.736	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.263	0.737	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.738	0.261
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.260	0.739	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.253	0.747	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.246	0.754	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.224	0.776	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.207	0.792	0.001
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.202	0.798	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.188	0.812	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.182	0.818	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	0.819	0.181
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.180	0.820	0.001
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.180	0.820	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.174	0.825	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.169	0.830	0.001
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.163	0.836	0.001
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.163	0.837	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.160	0.840	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.158	0.842	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.149	0.851	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.139	0.860	0.001
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.138	0.862	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.133	0.867	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.132	0.868	0.001
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.121	0.878	0.001
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.119	0.880	0.001
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.108	0.892	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.107	0.893	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.106	0.894	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.104	0.896	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.101	0.899	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.099	0.901	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.094	0.903	0.003
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.084	0.916	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.083	0.917	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.082	0.917	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.074	0.925	0.000
rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.000	0.927	0.073
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.068	0.932	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.066	0.933	0.001
rs2027099 lBF = `0.0452098` Chr`13` : `67,043,092`	0.000	0.951	0.049
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.048	0.952	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.045	0.955	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.036	0.964	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.035	0.965	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.034	0.965	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.034	0.966	0.000
rs11840092 lBF = `-0.00062898` Chr`13` : `58,114,748`	0.033	0.967	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.031	0.968	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.028	0.972	0.000
rs9510661 lBF = `0.353113` Chr`13` : `23,851,799`	0.027	0.973	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.025	0.974	0.001
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.022	0.978	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.019	0.980	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.019	0.981	0.000
rs9557321 lBF = `0.0184571` Chr`13` : `100,521,101`	0.018	0.982	0.000
rs2293941 lBF = `0.55605` Chr`13` : `28,491,198`	0.018	0.982	0.000
rs9301951 lBF = `0.0932238` Chr`13` : `94,952,832`	0.000	0.985	0.015
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.015	0.985	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.014	0.986	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.013	0.987	0.000
rs1926657 lBF = `0.0582323` Chr`13` : `95,874,956`	0.000	0.987	0.013
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.013	0.987	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.012	0.988	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.012	0.988	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.011	0.989	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.010	0.990	0.001
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.010	0.990	0.000
rs2812197 lBF = `-0.0321749` Chr`13` : `50,817,826`	0.010	0.990	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.008	0.991	0.001
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.008	0.992	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.008	0.992	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.007	0.992	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.005	0.993	0.002
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.007	0.993	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.006	0.993	0.000
rs9521632 lBF = `13.7226` Chr`13` : `110,832,918`	0.007	0.993	0.000
rs741668 lBF = `-0.0512415` Chr`13` : `46,516,468`	0.006	0.994	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.005	0.994	0.001
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.006	0.994	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.006	0.994	0.000
rs1886449 lBF = `0.135937` Chr`13` : `73,932,114`	0.006	0.994	0.000
rs11617058 lBF = `-0.0292611` Chr`13` : `85,293,112`	0.006	0.994	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.995	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.005	0.995	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.005	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.005	0.995	0.000
rs9314986 lBF = `2.19433` Chr`13` : `30,458,737`	0.005	0.995	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.004	0.996	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.004	0.996	0.000
rs1816752 lBF = `-0.0503246` Chr`13` : `24,980,949`	0.000	0.996	0.004
rs4148546 lBF = `-0.095207` Chr`13` : `95,680,285`	0.003	0.997	0.000
rs12583965 lBF = `-0.0157985` Chr`13` : `78,808,813`	0.003	0.997	0.000
rs1372791 lBF = `-0.0148722` Chr`13` : `106,785,265`	0.003	0.997	0.000
rs1323612 lBF = `0.12918` Chr`13` : `43,291,289`	0.000	0.997	0.003
rs7336109 lBF = `-0.0350337` Chr`13` : `106,589,141`	0.003	0.997	0.000
rs12877581 lBF = `-0.0581033` Chr`13` : `74,325,499`	0.003	0.997	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.000	0.997	0.003
rs7984606 lBF = `0.00767471` Chr`13` : `70,455,661`	0.003	0.997	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.997	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.003	0.997	0.000
rs17714988 lBF = `-0.00333833` Chr`13` : `74,995,660`	0.003	0.997	0.000
rs1370053 lBF = `0.00250351` Chr`13` : `58,514,665`	0.000	0.998	0.002
rs17648246 lBF = `-0.00487677` Chr`13` : `45,493,881`	0.000	0.998	0.002
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.002	0.998	0.000
rs11616416 lBF = `-0.0855914` Chr`13` : `29,836,251`	0.002	0.998	0.000
rs155076 lBF = `-0.0755439` Chr`13` : `21,870,114`	0.002	0.998	0.000
rs9525562 lBF = `-0.0535594` Chr`13` : `42,611,667`	0.000	0.998	0.002
rs17490056 lBF = `-0.0918619` Chr`13` : `66,726,903`	0.000	0.998	0.002
rs3095527 lBF = `8.71437` Chr`13` : `51,170,755`	0.000	0.998	0.002
rs2770228 lBF = `-0.00894791` Chr`13` : `98,200,572`	0.002	0.998	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	0.998	0.002
rs4773054 lBF = `-0.00277264` Chr`13` : `110,154,028`	0.002	0.998	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.000	0.998	0.002
rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.002	0.998	0.000
rs9552416 lBF = `0.11584` Chr`13` : `19,311,241`	0.000	0.998	0.002
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.000	0.998	0.002
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	0.998	0.002
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.002	0.998	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.002	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
rs9532969 lBF = `-0.0718052` Chr`13` : `42,591,839`	0.000	0.998	0.002
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.002	0.998	0.000
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rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.000	1.000	0.000
rs806321 lBF = `0.218217` Chr`13` : `50,841,323`	0.000	1.000	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	1.000	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.000	1.000	0.000
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	0.000	1.000	0.000
rs9600079 lBF = `-0.0738818` Chr`13` : `73,728,139`	0.000	1.000	0.000
rs2066219 lBF = `-0.0771924` Chr`13` : `69,530,664`	0.000	1.000	0.000
rs488248 lBF = `-0.097073` Chr`13` : `106,596,719`	0.000	1.000	0.000
rs9552733 lBF = `-0.0997026` Chr`13` : `23,412,923`	0.000	1.000	0.000
rs7323885 lBF = `10.2319` Chr`13` : `24,782,560`	0.000	1.000	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.000	1.000	0.000
rs2325244 lBF = `0.200622` Chr`13` : `70,430,093`	0.000	1.000	0.000
rs9601248 lBF = `0.0261008` Chr`13` : `80,169,004`	0.000	1.000	0.000
rs1413191 lBF = `0.00657196` Chr`13` : `93,213,476`	0.000	1.000	0.000
rs4886238 lBF = `0.00560033` Chr`13` : `61,113,739`	0.000	1.000	0.000
rs111859823 lBF = `0.00503855` Chr`13` : `110,660,190`	0.000	1.000	0.000
rs4148441 lBF = `-0.00913378` Chr`13` : `95,898,207`	0.000	1.000	0.000
rs1550546 lBF = `-0.0725951` Chr`13` : `70,658,404`	0.000	1.000	0.000
rs4769475 lBF = `-0.0851836` Chr`13` : `26,731,714`	0.000	1.000	0.000
rs9568281 lBF = `0.0326215` Chr`13` : `50,185,204`	0.000	1.000	0.000
rs1116255 lBF = `0.00049198` Chr`13` : `55,489,005`	0.000	1.000	0.000
rs12431307 lBF = `-0.0257713` Chr`13` : `80,644,618`	0.000	1.000	0.000
rs35540212 lBF = `-0.0279034` Chr`13` : `36,768,682`	0.000	1.000	0.000
rs3106598 lBF = `-0.0639725` Chr`13` : `61,678,912`	0.000	1.000	0.000
rs9603612 lBF = `1.25009` Chr`13` : `40,334,852`	0.000	1.000	0.000
rs55940034 lBF = `0.737182` Chr`13` : `111,043,309`	0.000	1.000	0.000
rs200220 lBF = `0.172577` Chr`13` : `50,960,378`	0.000	1.000	0.000
rs9596270 lBF = `0.0849224` Chr`13` : `50,842,440`	0.000	1.000	0.000
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.000	1.000	0.000
rs17596685 lBF = `0.0331689` Chr`13` : `43,117,201`	0.000	1.000	0.000
rs9568856 lBF = `0.0179436` Chr`13` : `54,064,981`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs9548119 lBF = `0.00251943` Chr`13` : `38,531,581`	0.000	1.000	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.000	1.000	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs1330598 lBF = `-0.0340981` Chr`13` : `61,933,131`	0.000	1.000	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.000	1.000	0.000
rs12585310 lBF = `0.545178` Chr`13` : `27,528,347`	0.000	1.000	0.000
rs11839514 lBF = `0.105267` Chr`13` : `93,938,706`	0.000	1.000	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	1.000	0.000
rs1572050 lBF = `0.0338794` Chr`13` : `94,870,765`	0.000	1.000	0.000
rs7323507 lBF = `0.0323187` Chr`13` : `110,572,210`	0.000	1.000	0.000
rs9571178 lBF = `0.0104591` Chr`13` : `64,936,243`	0.000	1.000	0.000
rs1324913 lBF = `0.00875858` Chr`13` : `74,635,588`	0.000	1.000	0.000
rs16945184 lBF = `-0.0114295` Chr`13` : `91,755,199`	0.000	1.000	0.000
rs732949 lBF = `-0.0237753` Chr`13` : `53,517,884`	0.000	1.000	0.000
rs17538444 lBF = `-0.0368705` Chr`13` : `43,834,270`	0.000	1.000	0.000
rs4773460 lBF = `-0.0614274` Chr`13` : `87,242,857`	0.000	1.000	0.000
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	1.000	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.000	1.000	0.000
rs34394770 lBF = `0.964353` Chr`13` : `40,333,369`	0.000	1.000	0.000
rs9515201 lBF = `0.872004` Chr`13` : `111,040,798`	0.000	1.000	0.000
rs9595908 lBF = `0.339609` Chr`13` : `33,184,288`	0.000	1.000	0.000
rs3118905 lBF = `0.126346` Chr`13` : `51,105,334`	0.000	1.000	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs9652236 lBF = `-0.0460187` Chr`13` : `72,688,774`	0.000	1.000	0.000
rs9603616 lBF = `1.47804` Chr`13` : `40,368,069`	0.000	1.000	0.000
rs7997462 lBF = `0.332208` Chr`13` : `58,257,165`	0.000	1.000	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.000	1.000	0.000
rs2755237 lBF = `0.206837` Chr`13` : `41,109,429`	0.000	1.000	0.000
rs3118906 lBF = `0.120464` Chr`13` : `51,106,788`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs9545740 lBF = `0.0516254` Chr`13` : `82,075,592`	0.000	1.000	0.000
rs9510787 lBF = `0.0167471` Chr`13` : `24,205,195`	0.000	1.000	0.000
rs79709413 lBF = `0.0165564` Chr`13` : `25,314,626`	0.000	1.000	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.000	1.000	0.000
rs59876823 lBF = `-0.00911228` Chr`13` : `100,734,524`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs12853515 lBF = `-0.0382816` Chr`13` : `111,781,060`	0.000	1.000	0.000
rs8000124 lBF = `-0.102821` Chr`13` : `53,605,235`	0.000	1.000	0.000
rs9315632 lBF = `0.319659` Chr`13` : `39,516,627`	0.000	1.000	0.000
rs1192201 lBF = `0.25583` Chr`13` : `110,806,490`	0.000	1.000	0.000
rs9584669 lBF = `0.111773` Chr`13` : `98,363,482`	0.000	1.000	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.000	1.000	0.000
rs1021188 lBF = `0.0320154` Chr`13` : `43,116,133`	0.000	1.000	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	1.000	0.000
rs1324015 lBF = `0.00278836` Chr`13` : `43,727,849`	0.000	1.000	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.000	1.000	0.000
rs9546312 lBF = `-0.0136508` Chr`13` : `83,746,951`	0.000	1.000	0.000
rs9594221 lBF = `-0.0274964` Chr`13` : `38,118,531`	0.000	1.000	0.000
rs11618212 lBF = `-0.0295391` Chr`13` : `106,096,812`	0.000	1.000	0.000
rs9547929 lBF = `-0.0303327` Chr`13` : `38,116,392`	0.000	1.000	0.000
rs61959448 lBF = `-0.0341645` Chr`13` : `42,910,319`	0.000	1.000	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	1.000	0.000
rs10508196 lBF = `-0.0462467` Chr`13` : `108,479,966`	0.000	1.000	0.000
rs9573163 lBF = `-0.0487735` Chr`13` : `73,908,846`	0.000	1.000	0.000
rs4770433 lBF = `-0.0670353` Chr`13` : `23,903,791`	0.000	1.000	0.000
rs61970269 lBF = `-0.0695155` Chr`13` : `91,732,770`	0.000	1.000	0.000
rs17079928 lBF = `-0.071019` Chr`13` : `24,654,228`	0.000	1.000	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.000	1.000	0.000
rs9540493 lBF = `0.203441` Chr`13` : `66,205,704`	0.000	1.000	0.000
rs9508025 lBF = `-0.0065922` Chr`13` : `28,984,063`	0.000	1.000	0.000
rs642899 lBF = `-0.0255755` Chr`13` : `33,680,854`	0.000	1.000	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	0.000	1.000	0.000
rs912330 lBF = `-0.0737766` Chr`13` : `99,131,294`	0.000	1.000	0.000
rs9513675 lBF = `-0.0960263` Chr`13` : `100,493,160`	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 X0034

log Bayes Factor = 665.104

contains 16 variants

0.9811

Cluster X0282

log Bayes Factor = 38.0098

contains 3 variants

0.6054

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3959

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3364

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.2219

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

1.0000

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9997

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9991

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9982

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9966

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9954

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9948

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9897

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.9867

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9813

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9809

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9774

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9705

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9673

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9383

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9380

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9307

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9301

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9092

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9040

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8954

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8808

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8694

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8677

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8611

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8193

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8113

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7994

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7894

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.7882

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7836

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7796

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7786

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7661

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7579

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7545

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7404

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7227

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7179

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7118

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.6919

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6868

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6846

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6818

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6672

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6660

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6544

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6409

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6316

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6147

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6085

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6052

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5965

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5923

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5879

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5865

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5729

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5609

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5321

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5233

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5097

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4831

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4667

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4567

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4472

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4395

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4356

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4314

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4298

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3859

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3804

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3717

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3650

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3586

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3326

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.3286

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3278

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3262

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3224

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3219

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3162

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3135

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2776

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2624

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2518

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2436

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2054

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2002

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1994

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1979

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1962

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1886

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1790

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1582

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1514

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1500

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1427

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1418

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1297

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1280

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1209

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1180

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1092

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1091

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1079

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1074

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1052

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1014

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0934

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0891

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0817

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0789

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0667

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0618

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0609

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0605

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0600

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0565

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0556

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`)