TreeWAS – [Y84.4] Aspiration of fluid

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
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.690	0.309	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.672	0.328	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.671	0.329	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.657	0.343	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.655	0.344	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.650	0.350	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.646	0.354	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.643	0.357	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.628	0.372	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.621	0.379	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.616	0.384	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.597	0.403	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.589	0.411	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.588	0.412	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.587	0.413	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.585	0.415	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.572	0.427	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.571	0.429	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.565	0.434	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.556	0.444	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.547	0.453	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.543	0.457	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.524	0.476	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.521	0.479	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.519	0.481	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.512	0.488	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.512	0.488	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.494	0.505	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.483	0.516	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.482	0.518	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.480	0.520	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.478	0.522	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.471	0.529	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.467	0.533	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.465	0.534	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.463	0.537	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.458	0.541	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.457	0.543	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.439	0.561	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.433	0.567	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.429	0.571	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.416	0.584	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.406	0.594	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.380	0.620	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.379	0.621	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.379	0.621	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.376	0.623	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.368	0.632	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.351	0.649	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.348	0.651	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.348	0.651	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.344	0.656	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.342	0.658	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.335	0.664	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.332	0.667	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.325	0.675	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.322	0.678	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.315	0.684	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.315	0.685	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.311	0.688	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.306	0.694	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.305	0.695	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.300	0.699	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.294	0.706	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.291	0.708	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.288	0.712	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.281	0.718	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.278	0.721	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.277	0.723	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.277	0.723	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.269	0.730	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.267	0.733	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.265	0.735	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.261	0.739	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.258	0.742	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.258	0.742	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.249	0.751	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.248	0.752	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.245	0.755	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.244	0.756	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.243	0.756	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.238	0.762	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.235	0.765	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.233	0.767	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.232	0.768	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.232	0.768	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.230	0.770	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.229	0.771	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.227	0.773	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.223	0.777	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.220	0.780	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.218	0.782	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.215	0.785	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.212	0.788	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.789	0.211
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.209	0.791	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.202	0.797	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.194	0.806	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.192	0.808	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.191	0.809	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.186	0.814	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.179	0.820	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.169	0.831	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.169	0.831	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.162	0.838	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.158	0.842	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.153	0.847	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.145	0.855	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.143	0.857	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.142	0.858	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.138	0.862	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.133	0.866	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.133	0.867	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.132	0.868	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.123	0.877	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.121	0.879	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.117	0.883	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.117	0.883	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.106	0.894	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.106	0.894	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.098	0.901	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.098	0.902	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.097	0.903	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.096	0.904	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.091	0.909	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.089	0.911	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.086	0.914	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.085	0.914	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.084	0.916	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.083	0.916	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.080	0.920	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.078	0.922	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.077	0.922	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.075	0.925	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.074	0.926	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.071	0.929	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.066	0.934	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.056	0.943	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.053	0.947	0.000
rs9603612 lBF = `1.25009` Chr`13` : `40,334,852`	0.000	0.950	0.050
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.049	0.951	0.000
rs7993214 lBF = `1.09418` Chr`13` : `40,350,912`	0.048	0.952	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.042	0.957	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.041	0.958	0.001
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.042	0.958	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.035	0.965	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.034	0.965	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.031	0.969	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.030	0.970	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.029	0.971	0.001
rs9603616 lBF = `1.47804` Chr`13` : `40,368,069`	0.000	0.973	0.027
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.026	0.974	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.023	0.977	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.020	0.979	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.021	0.979	0.000
rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.020	0.979	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.019	0.981	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.018	0.981	0.001
rs34394770 lBF = `0.964353` Chr`13` : `40,333,369`	0.000	0.982	0.018
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.017	0.983	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.013	0.987	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.012	0.988	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.011	0.988	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.007	0.993	0.000
rs11840092 lBF = `-0.00062898` Chr`13` : `58,114,748`	0.007	0.993	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.006	0.993	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.006	0.994	0.000
rs12429545 lBF = `0.248866` Chr`13` : `54,102,206`	0.006	0.994	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.995	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.005	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.004	0.996	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.004	0.996	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.004	0.996	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.997	0.000
rs913246 lBF = `0.46896` Chr`13` : `40,948,151`	0.003	0.997	0.000
rs6563739 lBF = `0.0802017` Chr`13` : `40,239,785`	0.002	0.998	0.000
rs6563569 lBF = `-0.0634367` Chr`13` : `38,260,408`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.002	0.998	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.002	0.998	0.000
rs56084662 lBF = `0.0799177` Chr`13` : `32,869,864`	0.002	0.998	0.000
rs9568867 lBF = `0.205963` Chr`13` : `54,107,352`	0.002	0.998	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs17065868 lBF = `-0.0279768` Chr`13` : `45,055,091`	0.002	0.998	0.000
rs9594293 lBF = `0.0381137` Chr`13` : `39,370,595`	0.002	0.998	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.002	0.998	0.000
rs7317940 lBF = `-0.0305334` Chr`13` : `78,021,218`	0.002	0.998	0.000
rs9554752 lBF = `0.111562` Chr`13` : `101,726,313`	0.002	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.002	0.998	0.000
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.000	0.998	0.002
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs16946160 lBF = `-0.0293461` Chr`13` : `92,203,813`	0.001	0.999	0.000
rs9528384 lBF = `0.00656869` Chr`13` : `62,302,565`	0.001	0.999	0.000
rs12583882 lBF = `-0.0542978` Chr`13` : `47,573,616`	0.000	0.999	0.001
rs319564 lBF = `-0.0148095` Chr`13` : `93,832,879`	0.001	0.999	0.000
rs155076 lBF = `-0.0755439` Chr`13` : `21,870,114`	0.001	0.999	0.000
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.001	0.999	0.000
rs8002014 lBF = `0.0552479` Chr`13` : `58,358,159`	0.001	0.999	0.000
rs7984606 lBF = `0.00767471` Chr`13` : `70,455,661`	0.000	0.999	0.001
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	0.999	0.001
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rs1927745 lBF = `0.173043` Chr`13` : `107,780,316`	0.000	1.000	0.000
rs603894 lBF = `0.0931995` Chr`13` : `103,355,327`	0.000	1.000	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.000	1.000	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	1.000	0.000
rs548097 lBF = `0.0503721` Chr`13` : `75,776,268`	0.000	1.000	0.000
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.000	1.000	0.000
rs7323507 lBF = `0.0323187` Chr`13` : `110,572,210`	0.000	1.000	0.000
rs1928007 lBF = `0.0299463` Chr`13` : `70,810,223`	0.000	1.000	0.000
rs9596863 lBF = `-0.00138453` Chr`13` : `54,434,647`	0.000	1.000	0.000
rs7336332 lBF = `-0.0157861` Chr`13` : `28,058,404`	0.000	1.000	0.000
rs9534578 lBF = `-0.0245164` Chr`13` : `47,843,377`	0.000	1.000	0.000
rs1359790 lBF = `7.18734` Chr`13` : `80,717,156`	0.000	1.000	0.000
rs200220 lBF = `0.172577` Chr`13` : `50,960,378`	0.000	1.000	0.000
rs1323612 lBF = `0.12918` Chr`13` : `43,291,289`	0.000	1.000	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.000	1.000	0.000
rs715921 lBF = `-0.0126854` Chr`13` : `24,795,489`	0.000	1.000	0.000
rs7995618 lBF = `-0.0178469` Chr`13` : `90,014,489`	0.000	1.000	0.000
rs3765535 lBF = `-0.0181042` Chr`13` : `95,815,535`	0.000	1.000	0.000
rs9634489 lBF = `-0.018318` Chr`13` : `97,049,004`	0.000	1.000	0.000
rs9572423 lBF = `-0.0204585` Chr`13` : `70,846,203`	0.000	1.000	0.000
rs17718828 lBF = `-0.0215309` Chr`13` : `75,128,114`	0.000	1.000	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	1.000	0.000
rs71440053 lBF = `-0.0369171` Chr`13` : `110,829,882`	0.000	1.000	0.000
rs4886088 lBF = `-0.0643618` Chr`13` : `59,128,526`	0.000	1.000	0.000
rs4318070 lBF = `-0.0888159` Chr`13` : `98,960,762`	0.000	1.000	0.000
rs806321 lBF = `0.218217` Chr`13` : `50,841,323`	0.000	1.000	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	1.000	0.000
rs1926657 lBF = `0.0582323` Chr`13` : `95,874,956`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs9513373 lBF = `0.00904787` Chr`13` : `98,866,996`	0.000	1.000	0.000
rs9565309 lBF = `-0.0108052` Chr`13` : `77,577,027`	0.000	1.000	0.000
rs11841001 lBF = `-0.019701` Chr`13` : `76,249,103`	0.000	1.000	0.000
rs2184971 lBF = `-0.0496243` Chr`13` : `100,818,092`	0.000	1.000	0.000
rs561437 lBF = `-0.0559522` Chr`13` : `110,936,227`	0.000	1.000	0.000
rs9567307 lBF = `4.38886` Chr`13` : `44,471,877`	0.000	1.000	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.000	1.000	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	1.000	0.000
rs2220327 lBF = `0.0141401` Chr`13` : `64,946,698`	0.000	1.000	0.000
rs9598783 lBF = `0.0134805` Chr`13` : `64,945,174`	0.000	1.000	0.000
rs1340319 lBF = `0.0124048` Chr`13` : `64,950,422`	0.000	1.000	0.000
rs9571178 lBF = `0.0104591` Chr`13` : `64,936,243`	0.000	1.000	0.000
rs1413191 lBF = `0.00657196` Chr`13` : `93,213,476`	0.000	1.000	0.000
rs1409173 lBF = `0.00207526` Chr`13` : `94,940,309`	0.000	1.000	0.000
rs1590305 lBF = `-0.0249349` Chr`13` : `38,035,189`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs9584805 lBF = `-0.0405176` Chr`13` : `98,994,030`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs9517132 lBF = `-0.0720512` Chr`13` : `98,575,843`	0.000	1.000	0.000
rs583464 lBF = `-0.0788608` Chr`13` : `104,091,545`	0.000	1.000	0.000
rs9594759 lBF = `1.98815` Chr`13` : `43,032,593`	0.000	1.000	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.000	1.000	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	1.000	0.000
rs984300 lBF = `0.0139206` Chr`13` : `109,455,835`	0.000	1.000	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	1.000	0.000
rs4773054 lBF = `-0.00277264` Chr`13` : `110,154,028`	0.000	1.000	0.000
rs1034200 lBF = `-0.0067708` Chr`13` : `23,228,691`	0.000	1.000	0.000
rs1340317 lBF = `-0.0100071` Chr`13` : `64,930,995`	0.000	1.000	0.000
rs2555603 lBF = `-0.0119412` Chr`13` : `33,798,262`	0.000	1.000	0.000
rs7324845 lBF = `-0.0123017` Chr`13` : `46,703,142`	0.000	1.000	0.000
rs9546312 lBF = `-0.0136508` Chr`13` : `83,746,951`	0.000	1.000	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	1.000	0.000
rs9646096 lBF = `-0.0201529` Chr`13` : `38,065,446`	0.000	1.000	0.000
rs732949 lBF = `-0.0237753` Chr`13` : `53,517,884`	0.000	1.000	0.000
rs9561252 lBF = `-0.0321187` Chr`13` : `93,729,285`	0.000	1.000	0.000
rs17538444 lBF = `-0.0368705` Chr`13` : `43,834,270`	0.000	1.000	0.000
rs2806731 lBF = `-0.0605772` Chr`13` : `54,290,333`	0.000	1.000	0.000
rs11619878 lBF = `-0.0616792` Chr`13` : `66,212,020`	0.000	1.000	0.000
rs1497062 lBF = `-0.062223` Chr`13` : `82,581,442`	0.000	1.000	0.000
rs17051917 lBF = `-0.0654832` Chr`13` : `35,768,789`	0.000	1.000	0.000
rs2991396 lBF = `-0.0667686` Chr`13` : `67,889,386`	0.000	1.000	0.000
rs4770433 lBF = `-0.0670353` Chr`13` : `23,903,791`	0.000	1.000	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.000	1.000	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.000	1.000	0.000
rs573666 lBF = `0.247218` Chr`13` : `51,194,405`	0.000	1.000	0.000
rs9596270 lBF = `0.0849224` Chr`13` : `50,842,440`	0.000	1.000	0.000
rs2391776 lBF = `0.0283931` Chr`13` : `110,243,425`	0.000	1.000	0.000
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.000	1.000	0.000
rs4886238 lBF = `0.00560033` Chr`13` : `61,113,739`	0.000	1.000	0.000
rs9580312 lBF = `0.00270428` Chr`13` : `22,754,093`	0.000	1.000	0.000
rs7324021 lBF = `-0.00440337` Chr`13` : `20,637,140`	0.000	1.000	0.000
rs12583965 lBF = `-0.0157985` Chr`13` : `78,808,813`	0.000	1.000	0.000
rs11148643 lBF = `-0.0161689` Chr`13` : `64,891,197`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs9581094 lBF = `-0.0257043` Chr`13` : `25,082,630`	0.000	1.000	0.000
rs9578438 lBF = `-0.0319063` Chr`13` : `22,729,205`	0.000	1.000	0.000
rs72636617 lBF = `-0.0351031` Chr`13` : `95,075,219`	0.000	1.000	0.000
rs8000245 lBF = `-0.0460945` Chr`13` : `74,730,392`	0.000	1.000	0.000
rs9573163 lBF = `-0.0487735` Chr`13` : `73,908,846`	0.000	1.000	0.000
rs4482178 lBF = `-0.053938` Chr`13` : `86,104,089`	0.000	1.000	0.000
rs1550546 lBF = `-0.0725951` Chr`13` : `70,658,404`	0.000	1.000	0.000
rs11617955 lBF = `16.8324` Chr`13` : `110,818,102`	0.000	1.000	0.000
rs17798800 lBF = `1.16738` Chr`13` : `34,950,527`	0.000	1.000	0.000
rs9557635 lBF = `0.205787` Chr`13` : `102,051,090`	0.000	1.000	0.000
rs7328464 lBF = `0.182186` Chr`13` : `92,501,664`	0.000	1.000	0.000
rs9536463 lBF = `0.1609` Chr`13` : `54,132,247`	0.000	1.000	0.000
rs150841795 lBF = `0.142928` Chr`13` : `54,137,749`	0.000	1.000	0.000
rs6561750 lBF = `0.123951` Chr`13` : `54,435,237`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6919

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1989

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9881

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9580

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9462

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9423

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9231

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9227

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9201

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9192

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9143

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9061

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9047

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8900

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8799

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8708

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8565

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8560

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8503

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8456

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8437

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8392

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8326

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8300

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8266

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8264

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8219

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8187

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8183

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8150

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8122

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8059

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7968

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7911

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7870

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7868

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7821

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7807

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7736

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7709

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7525

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7507

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7475

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7382

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7169

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7168

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7167

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7157

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7154

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7132

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7124

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7097

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7069

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7064

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7020

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6912

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6899

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6803

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6793

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6790

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6780

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6770

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6727

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6700

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6684

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6580

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6558

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6520

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6428

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6426

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6399

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.6340

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6237

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6178

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6172

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6164

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6023

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5965

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5856

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5852

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5745

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5705

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5677

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5640

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5632

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5546

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5528

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5468

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5353

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5349

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5319

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5277

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5273

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5270

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5151

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5045

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4842

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4835

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4800

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4723

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4643

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4364

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4307

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4292

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4251

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4170

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4157

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4154

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4079

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3955

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3955

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3944

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3822

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3654

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3510

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3366

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3258

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3243

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3188

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3184

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3137

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3009

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2919

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2796

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2768

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2697

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2692

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2550

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2520

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2422

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2287

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2238

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2236

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2235

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2233

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2221

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2102

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2061

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2059

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2044

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2035

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1994

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1756

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1744

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1736

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1664

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1573

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1535

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1428

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1399

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1374

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1357

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1245

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1218

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1193

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1147

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1100

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1051

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0887

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0883

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0857

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0847

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0842

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0831

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0815

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0807

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0799

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0769

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0755

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0660

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0658

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0619

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0608

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0590

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0564

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0554

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0545

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`)