TreeWAS – [T43.8] Other psychotropic drugs, not elsewhere classified

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
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.715	0.285	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.714	0.286	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.701	0.298	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.700	0.300	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.693	0.307	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.677	0.323	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.672	0.328	0.000
rs1335587 lBF = `1.93357` Chr`13` : `102,145,560`	0.665	0.335	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.663	0.336	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.655	0.345	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.652	0.348	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.649	0.351	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.645	0.355	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.636	0.364	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.633	0.367	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.633	0.367	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.630	0.369	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.623	0.377	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.610	0.390	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.601	0.399	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.597	0.402	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.597	0.403	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.590	0.409	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.583	0.417	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.582	0.418	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.572	0.428	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.568	0.432	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.562	0.437	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.559	0.441	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.550	0.450	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.548	0.452	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.547	0.453	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.545	0.455	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.544	0.455	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.540	0.460	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.530	0.470	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.530	0.470	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.510	0.490	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.509	0.491	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.495	0.504	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.495	0.505	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.490	0.510	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.483	0.517	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.482	0.518	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.479	0.521	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.478	0.522	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.477	0.523	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.476	0.524	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.476	0.524	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.471	0.529	0.000
rs2293941 lBF = `0.55605` Chr`13` : `28,491,198`	0.000	0.534	0.466
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.465	0.535	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.454	0.546	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.450	0.550	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.448	0.552	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.447	0.553	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.434	0.565	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.428	0.572	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.427	0.573	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.426	0.573	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.420	0.580	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.411	0.589	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.405	0.594	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.405	0.595	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.402	0.598	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.398	0.602	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.388	0.612	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.386	0.614	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.384	0.616	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.382	0.618	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.377	0.622	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.377	0.623	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.375	0.625	0.000
rs9581943 lBF = `0.236762` Chr`13` : `28,493,997`	0.374	0.626	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.370	0.629	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.363	0.637	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.363	0.637	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.359	0.641	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.356	0.644	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.354	0.646	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.350	0.650	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.347	0.653	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.344	0.656	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.343	0.656	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.342	0.657	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.342	0.657	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.332	0.668	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.327	0.673	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.325	0.675	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.324	0.676	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.324	0.676	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.316	0.684	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.310	0.689	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.307	0.692	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.303	0.697	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.301	0.699	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.297	0.703	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.296	0.704	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.289	0.710	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.280	0.720	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.274	0.725	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.272	0.728	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.255	0.745	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.250	0.749	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.247	0.752	0.000
rs9596219 lBF = `0.31189` Chr`13` : `50,563,447`	0.246	0.754	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.243	0.757	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.243	0.757	0.000
rs35058679 lBF = `0.103442` Chr`13` : `96,145,379`	0.236	0.763	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.234	0.765	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.232	0.768	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.225	0.775	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.223	0.777	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.221	0.779	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.220	0.779	0.001
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.218	0.782	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.217	0.783	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.215	0.785	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.212	0.787	0.000
rs2687950 lBF = `0.261575` Chr`13` : `50,718,468`	0.212	0.788	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.208	0.792	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.203	0.797	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.201	0.799	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.191	0.809	0.001
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.189	0.811	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.172	0.827	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.172	0.828	0.000
rs2323266 lBF = `0.322191` Chr`13` : `61,965,303`	0.172	0.828	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.170	0.830	0.001
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.170	0.830	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.165	0.834	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.162	0.838	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.158	0.841	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.154	0.846	0.000
rs7323507 lBF = `0.0323187` Chr`13` : `110,572,210`	0.154	0.846	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.151	0.849	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.146	0.853	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.144	0.855	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.138	0.862	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.136	0.863	0.001
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.133	0.865	0.002
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.132	0.868	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.120	0.879	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.116	0.882	0.001
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.114	0.885	0.001
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.112	0.887	0.001
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.105	0.894	0.001
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.087	0.910	0.003
rs9554348 lBF = `0.224776` Chr`13` : `97,012,355`	0.089	0.911	0.000
rs9584669 lBF = `0.111773` Chr`13` : `98,363,482`	0.081	0.919	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.072	0.927	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.072	0.928	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.071	0.929	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.071	0.929	0.000
rs9554197 lBF = `-0.0655451` Chr`13` : `28,476,978`	0.060	0.940	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.058	0.941	0.001
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.057	0.941	0.002
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.056	0.941	0.002
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.057	0.942	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.943	0.057
rs9316500 lBF = `1.74026` Chr`13` : `51,094,114`	0.053	0.947	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.040	0.947	0.013
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.048	0.952	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.045	0.952	0.003
rs9525625 lBF = `2.29591` Chr`13` : `43,018,030`	0.000	0.958	0.042
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.036	0.963	0.001
rs12873154 lBF = `5.39657` Chr`13` : `110,920,852`	0.036	0.964	0.000
rs957788 lBF = `-0.0559028` Chr`13` : `108,257,220`	0.034	0.966	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.033	0.966	0.001
rs2062305 lBF = `2.53248` Chr`13` : `43,052,880`	0.000	0.971	0.029
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.027	0.973	0.000
rs12429889 lBF = `0.314078` Chr`13` : `74,742,322`	0.026	0.974	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.024	0.975	0.000
rs573666 lBF = `0.247218` Chr`13` : `51,194,405`	0.000	0.977	0.023
rs9559203 lBF = `0.025885` Chr`13` : `108,664,754`	0.022	0.978	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.019	0.980	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.019	0.981	0.000
rs1847505 lBF = `0.0685003` Chr`13` : `61,532,597`	0.000	0.982	0.017
rs9540294 lBF = `0.00420883` Chr`13` : `65,564,031`	0.016	0.984	0.000
rs688872 lBF = `-0.00713596` Chr`13` : `98,966,317`	0.000	0.985	0.015
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.014	0.985	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.013	0.986	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.013	0.987	0.000
rs4526895 lBF = `0.06979` Chr`13` : `39,350,890`	0.000	0.988	0.012
rs9528384 lBF = `0.00656869` Chr`13` : `62,302,565`	0.011	0.989	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.010	0.989	0.000
rs1497062 lBF = `-0.062223` Chr`13` : `82,581,442`	0.010	0.990	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.010	0.990	0.000
rs7987251 lBF = `0.0261308` Chr`13` : `60,279,818`	0.009	0.990	0.001
rs7986704 lBF = `0.0261308` Chr`13` : `60,279,546`	0.009	0.990	0.001
rs17534004 lBF = `-0.0236867` Chr`13` : `31,469,665`	0.010	0.990	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.009	0.990	0.000
rs1262778 lBF = `2.84638` Chr`13` : `51,066,623`	0.009	0.991	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.009	0.991	0.001
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.007	0.993	0.000
rs589636 lBF = `-0.04866` Chr`13` : `77,516,576`	0.007	0.993	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.007	0.993	0.000
rs10507380 lBF = `-0.030208` Chr`13` : `27,879,526`	0.000	0.994	0.006
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.006	0.994	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.005	0.994	0.000
rs4942486 lBF = `0.543847` Chr`13` : `32,953,388`	0.005	0.994	0.000
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.000	0.995	0.005
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rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.000	0.999	0.000
rs7324845 lBF = `-0.0123017` Chr`13` : `46,703,142`	0.000	0.999	0.000
rs2036707 lBF = `-0.021407` Chr`13` : `108,484,454`	0.000	0.999	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.000	0.999	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.000	0.999	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	0.999	0.000
rs9559377 lBF = `-0.0172298` Chr`13` : `109,264,870`	0.000	0.999	0.000
rs9535307 lBF = `-0.0456365` Chr`13` : `50,291,842`	0.000	0.999	0.000
rs7322722 lBF = `-0.0599777` Chr`13` : `77,879,376`	0.000	0.999	0.000
rs2044117 lBF = `-0.0720176` Chr`13` : `101,708,310`	0.000	0.999	0.000
rs7989332 lBF = `-0.0789607` Chr`13` : `21,050,575`	0.000	0.999	0.000
rs1572591 lBF = `0.0442794` Chr`13` : `102,060,076`	0.000	0.999	0.000
rs7336332 lBF = `-0.0157861` Chr`13` : `28,058,404`	0.000	0.999	0.000
rs56404467 lBF = `0.0153721` Chr`13` : `32,839,990`	0.000	0.999	0.000
rs17714988 lBF = `-0.00333833` Chr`13` : `74,995,660`	0.000	0.999	0.000
rs1372791 lBF = `-0.0148722` Chr`13` : `106,785,265`	0.000	0.999	0.000
rs11619878 lBF = `-0.0616792` Chr`13` : `66,212,020`	0.000	0.999	0.000
rs9595066 lBF = `-0.0621154` Chr`13` : `44,706,268`	0.000	0.999	0.000
rs9568797 lBF = `-0.118854` Chr`13` : `53,613,559`	0.000	0.999	0.000
rs3742130 lBF = `0.312804` Chr`13` : `99,907,341`	0.000	0.999	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.000	0.999	0.000
rs9600103 lBF = `0.0750118` Chr`13` : `73,811,879`	0.000	0.999	0.000
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.000	0.999	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	0.999	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.000	0.999	0.000
rs9545047 lBF = `0.213006` Chr`13` : `79,859,456`	0.000	0.999	0.000
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	0.999	0.000
rs9557207 lBF = `0.114754` Chr`13` : `100,036,418`	0.000	0.999	0.000
rs4770394 lBF = `0.00588362` Chr`13` : `23,692,978`	0.000	0.999	0.000
rs7338174 lBF = `-0.00061928` Chr`13` : `51,924,375`	0.000	0.999	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.000	0.999	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.000	0.999	0.000
rs55940034 lBF = `0.737182` Chr`13` : `111,043,309`	0.000	0.999	0.000
rs2325244 lBF = `0.200622` Chr`13` : `70,430,093`	0.000	0.999	0.000
rs9634489 lBF = `-0.018318` Chr`13` : `97,049,004`	0.000	0.999	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	0.999	0.000
rs2038823 lBF = `0.716143` Chr`13` : `96,951,433`	0.000	0.999	0.000
rs10492494 lBF = `0.136868` Chr`13` : `74,920,186`	0.000	0.999	0.000
rs9526114 lBF = `0.0297745` Chr`13` : `46,408,037`	0.000	0.999	0.000
rs2997105 lBF = `0.00578687` Chr`13` : `56,378,424`	0.000	0.999	0.000
rs4773054 lBF = `-0.00277264` Chr`13` : `110,154,028`	0.000	0.999	0.000
rs11838472 lBF = `-0.0154451` Chr`13` : `73,741,149`	0.000	0.999	0.000
rs16946160 lBF = `-0.0293461` Chr`13` : `92,203,813`	0.000	0.999	0.000
rs71440053 lBF = `-0.0369171` Chr`13` : `110,829,882`	0.000	0.999	0.000
rs11616416 lBF = `-0.0855914` Chr`13` : `29,836,251`	0.000	0.999	0.000
rs1359790 lBF = `7.18734` Chr`13` : `80,717,156`	0.000	0.999	0.000
rs17085007 lBF = `1.29436` Chr`13` : `27,531,267`	0.000	0.999	0.000
rs9557195 lBF = `0.122842` Chr`13` : `99,956,622`	0.000	0.999	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	0.999	0.000
rs2184971 lBF = `-0.0496243` Chr`13` : `100,818,092`	0.000	0.999	0.000
rs12428035 lBF = `-0.0567497` Chr`13` : `96,300,872`	0.000	0.999	0.000
rs9600079 lBF = `-0.0738818` Chr`13` : `73,728,139`	0.000	0.999	0.000
rs1146942 lBF = `-0.080268` Chr`13` : `80,819,729`	0.000	0.999	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.000	1.000	0.000
rs913246 lBF = `0.46896` Chr`13` : `40,948,151`	0.000	1.000	0.000
rs9565309 lBF = `-0.0108052` Chr`13` : `77,577,027`	0.000	1.000	0.000
rs9558942 lBF = `-0.0605796` Chr`13` : `107,700,218`	0.000	1.000	0.000
rs7322916 lBF = `-0.0656561` Chr`13` : `26,007,977`	0.000	1.000	0.000
rs9542236 lBF = `-0.106427` Chr`13` : `31,819,325`	0.000	1.000	0.000
rs9318086 lBF = `-0.106645` Chr`13` : `24,432,467`	0.000	1.000	0.000
rs11616380 lBF = `7.50102` Chr`13` : `80,705,315`	0.000	1.000	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.000	1.000	0.000
rs9557635 lBF = `0.205787` Chr`13` : `102,051,090`	0.000	1.000	0.000
rs17596685 lBF = `0.0331689` Chr`13` : `43,117,201`	0.000	1.000	0.000
rs1021188 lBF = `0.0320154` Chr`13` : `43,116,133`	0.000	1.000	0.000
rs9568856 lBF = `0.0179436` Chr`13` : `54,064,981`	0.000	1.000	0.000
rs1006064 lBF = `-0.00100883` Chr`13` : `51,846,605`	0.000	1.000	0.000
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.000	1.000	0.000
rs7984522 lBF = `-0.0297294` Chr`13` : `109,347,659`	0.000	1.000	0.000
rs9578438 lBF = `-0.0319063` Chr`13` : `22,729,205`	0.000	1.000	0.000
rs4996815 lBF = `-0.0702216` Chr`13` : `106,651,661`	0.000	1.000	0.000
rs4771996 lBF = `-0.099928` Chr`13` : `98,053,792`	0.000	1.000	0.000
rs4142110 lBF = `3.4996` Chr`13` : `42,754,522`	0.000	1.000	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.000	1.000	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	0.000	1.000	0.000
rs2806971 lBF = `-0.121707` Chr`13` : `53,653,856`	0.000	1.000	0.000
rs2806974 lBF = `-0.122123` Chr`13` : `53,659,930`	0.000	1.000	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	1.000	0.000
rs9515201 lBF = `0.872004` Chr`13` : `111,040,798`	0.000	1.000	0.000
rs68151129 lBF = `0.438048` Chr`13` : `94,983,445`	0.000	1.000	0.000
rs9301951 lBF = `0.0932238` Chr`13` : `94,952,832`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs9596837 lBF = `0.0540929` Chr`13` : `54,258,063`	0.000	1.000	0.000
rs9596863 lBF = `-0.00138453` Chr`13` : `54,434,647`	0.000	1.000	0.000
rs6563210 lBF = `-0.0138058` Chr`13` : `36,476,447`	0.000	1.000	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.000	1.000	0.000
rs2812197 lBF = `-0.0321749` Chr`13` : `50,817,826`	0.000	1.000	0.000
rs9538439 lBF = `-0.0463927` Chr`13` : `60,066,560`	0.000	1.000	0.000
rs1550546 lBF = `-0.0725951` Chr`13` : `70,658,404`	0.000	1.000	0.000
rs16854 lBF = `-0.0747142` Chr`13` : `110,755,832`	0.000	1.000	0.000
rs9543325 lBF = `0.851222` Chr`13` : `73,916,628`	0.000	1.000	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	1.000	0.000
rs1512651 lBF = `0.296602` Chr`13` : `56,772,696`	0.000	1.000	0.000
rs9512637 lBF = `0.153392` Chr`13` : `27,920,611`	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
rs9572423 lBF = `-0.0204585` Chr`13` : `70,846,203`	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 X0286

log Bayes Factor = 30.6663

contains 3 variants

0.7169

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7164

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4241

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3878

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7169

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7169

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7169

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7169

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.7169

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7169

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7169

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7169

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7169

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7169

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7169

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7169

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7168

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7168

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7168

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7168

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7167

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7167

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7166

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7166

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7164

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7164

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7164

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7163

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7162

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7158

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7158

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7157

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7154

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7154

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7151

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7151

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7144

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7144

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7140

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7136

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7133

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7131

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7128

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7126

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7122

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7120

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7118

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7109

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7100

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7088

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7085

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7082

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7082

Cluster X0006

log Bayes Factor = 34.113

contains 4 variants

0.7079

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7077

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7075

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7071

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7068

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7066

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7065

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7055

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7044

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7037

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7030

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7019

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7017

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7015

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7008

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7001

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6987

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6948

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6946

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6938

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.6911

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6896

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6895

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6893

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6874

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6868

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6850

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6838

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6804

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6782

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6779

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6765

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6761

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6757

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6719

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6711

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6708

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6678

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.6644

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6638

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6628

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6594

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6590

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6584

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6575

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6548

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6543

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6473

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6472

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6403

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.6304

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6303

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6301

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6280

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6211

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6170

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6137

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6069

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5988

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5908

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5824

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5783

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5779

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5767

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5717

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.5699

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5668

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5605

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.5522

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5475

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5464

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5405

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5385

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5291

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5178

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5135

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5112

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5081

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5012

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4873

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4861

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4821

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4815

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.4802

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4737

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4568

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4486

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4476

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4397

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4376

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4285

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4267

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4224

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4133

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4007

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3959

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3932

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3916

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3785

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3753

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3699

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3651

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3271

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3072

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3061

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2997

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2870

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2846

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2813

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2807

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2800

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2775

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2673

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2453

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2313

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2194

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2112

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2035

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1680

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1672

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1429

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1316

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1287

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1278

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1199

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1190

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1151

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1132

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1104

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1100

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1050

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1047

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1008

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0918

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0828

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0827

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0824

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0814

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0683

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0557

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0547

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0527

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.0515

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0510

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)