TreeWAS – [A49.1] Streptococcal infection, unspecified

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
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.702	0.298	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.697	0.303	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.646	0.354	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.616	0.384	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.594	0.406	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.594	0.406	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.591	0.409	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.578	0.422	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.574	0.426	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.569	0.430	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.566	0.434	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.548	0.452	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.543	0.457	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.541	0.459	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.539	0.461	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.537	0.463	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.521	0.479	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.517	0.483	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.513	0.487	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.506	0.494	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.500	0.500	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.499	0.501	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.494	0.505	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.488	0.512	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.485	0.515	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.481	0.519	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.478	0.522	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.476	0.523	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.474	0.526	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.474	0.526	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.471	0.529	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.469	0.531	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.464	0.535	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.463	0.537	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.455	0.545	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.452	0.548	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.444	0.556	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.442	0.558	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.439	0.561	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.437	0.563	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.436	0.564	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.432	0.568	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.431	0.569	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.422	0.578	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.412	0.587	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.403	0.597	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.402	0.598	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.402	0.598	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.401	0.599	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.400	0.600	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.399	0.601	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.399	0.601	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.396	0.603	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.394	0.606	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.390	0.609	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.388	0.612	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.387	0.613	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.385	0.614	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.381	0.619	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.381	0.619	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.374	0.626	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.371	0.629	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.367	0.633	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.361	0.639	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.357	0.643	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.354	0.646	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.353	0.647	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.346	0.653	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.346	0.654	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.346	0.654	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.344	0.656	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.341	0.659	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.339	0.661	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.334	0.666	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.331	0.669	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.330	0.670	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.329	0.671	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.328	0.672	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.328	0.672	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.326	0.674	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.323	0.677	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.321	0.679	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.318	0.682	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.317	0.683	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.316	0.684	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.313	0.687	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.313	0.687	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.310	0.689	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.307	0.693	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.306	0.694	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.306	0.694	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.302	0.698	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.301	0.699	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.294	0.706	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.294	0.706	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.292	0.708	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.286	0.714	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.284	0.716	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.278	0.722	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.274	0.726	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.274	0.726	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.270	0.729	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.267	0.732	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.260	0.740	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.258	0.741	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.254	0.745	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.254	0.746	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.252	0.748	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.249	0.751	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.248	0.751	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.244	0.756	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.241	0.758	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.235	0.765	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.232	0.767	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.219	0.781	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.214	0.786	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.211	0.789	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.195	0.805	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.191	0.809	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.186	0.814	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.182	0.818	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.164	0.835	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.162	0.838	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.161	0.839	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.160	0.840	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.147	0.852	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.146	0.854	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.143	0.856	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.131	0.869	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.131	0.869	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.123	0.877	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.121	0.879	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.119	0.881	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.115	0.884	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.112	0.888	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.103	0.896	0.001
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.100	0.900	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.905	0.094
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.071	0.929	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.071	0.929	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.070	0.930	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.068	0.932	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.062	0.938	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.057	0.943	0.000
rs10507577 lBF = `0.213039` Chr`13` : `53,968,091`	0.038	0.962	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.030	0.970	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.028	0.971	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.027	0.973	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.022	0.975	0.003
rs9510795 lBF = `-0.119953` Chr`13` : `24,216,012`	0.019	0.981	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.016	0.983	0.001
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.016	0.983	0.000
rs4142110 lBF = `3.4996` Chr`13` : `42,754,522`	0.000	0.984	0.016
rs9316500 lBF = `1.74026` Chr`13` : `51,094,114`	0.000	0.986	0.014
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.013	0.986	0.001
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.014	0.986	0.000
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.989	0.011
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.010	0.990	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.009	0.990	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.009	0.991	0.000
rs9525916 lBF = `0.17004` Chr`13` : `44,702,869`	0.009	0.991	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.007	0.993	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.005	0.994	0.001
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.005	0.994	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.994	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.005	0.995	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.004	0.995	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.004	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.004	0.995	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.004	0.996	0.000
rs9536463 lBF = `0.1609` Chr`13` : `54,132,247`	0.000	0.996	0.004
rs150841795 lBF = `0.142928` Chr`13` : `54,137,749`	0.000	0.996	0.004
rs1900442 lBF = `-0.0972085` Chr`13` : `42,505,674`	0.004	0.996	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.997	0.000
rs561437 lBF = `-0.0559522` Chr`13` : `110,936,227`	0.003	0.997	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.003	0.997	0.000
rs1329313 lBF = `-0.0403026` Chr`13` : `35,194,022`	0.002	0.997	0.000
rs1262778 lBF = `2.84638` Chr`13` : `51,066,623`	0.000	0.998	0.002
rs7327673 lBF = `-0.0810812` Chr`13` : `106,439,366`	0.000	0.998	0.002
rs71440053 lBF = `-0.0369171` Chr`13` : `110,829,882`	0.002	0.998	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs9652236 lBF = `-0.0460187` Chr`13` : `72,688,774`	0.002	0.998	0.000
rs1585440 lBF = `-0.0775997` Chr`13` : `66,481,815`	0.000	0.998	0.002
rs9542236 lBF = `-0.106427` Chr`13` : `31,819,325`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.002	0.998	0.000
rs10507349 lBF = `-0.00102807` Chr`13` : `26,781,528`	0.002	0.998	0.000
rs9581943 lBF = `0.236762` Chr`13` : `28,493,997`	0.000	0.998	0.002
rs1335882 lBF = `0.0445703` Chr`13` : `56,832,272`	0.002	0.998	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.002	0.998	0.000
rs4883955 lBF = `-0.0896667` Chr`13` : `74,433,807`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs1816752 lBF = `-0.0503246` Chr`13` : `24,980,949`	0.000	0.998	0.002
rs1239947 lBF = `-0.0197112` Chr`13` : `51,106,555`	0.000	0.998	0.002
rs17534004 lBF = `-0.0236867` Chr`13` : `31,469,665`	0.002	0.998	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.002	0.998	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.002	0.998	0.000
rs9561252 lBF = `-0.0321187` Chr`13` : `93,729,285`	0.001	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
rs1006064 lBF = `-0.00100883` Chr`13` : `51,846,605`	0.001	0.998	0.000
rs12018439 lBF = `0.028387` Chr`13` : `85,391,073`	0.002	0.998	0.000
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rs9540294 lBF = `0.00420883` Chr`13` : `65,564,031`	0.000	0.999	0.000
rs143258881 lBF = `-0.0119224` Chr`13` : `93,945,858`	0.000	0.999	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	0.999	0.000
rs9543976 lBF = `-0.0429371` Chr`13` : `76,136,648`	0.000	0.999	0.000
rs17051917 lBF = `-0.0654832` Chr`13` : `35,768,789`	0.000	0.999	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.000	0.999	0.000
rs1509091 lBF = `0.0291212` Chr`13` : `108,491,592`	0.000	0.999	0.000
rs171156 lBF = `-0.0117374` Chr`13` : `80,845,641`	0.000	0.999	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	0.999	0.000
rs7339349 lBF = `-0.0199355` Chr`13` : `74,556,225`	0.000	0.999	0.000
rs732949 lBF = `-0.0237753` Chr`13` : `53,517,884`	0.000	0.999	0.000
rs3736830 lBF = `-0.02483` Chr`13` : `50,306,221`	0.000	0.999	0.000
rs35540212 lBF = `-0.0279034` Chr`13` : `36,768,682`	0.000	0.999	0.000
rs9578438 lBF = `-0.0319063` Chr`13` : `22,729,205`	0.000	0.999	0.000
rs1923834 lBF = `-0.037854` Chr`13` : `28,360,487`	0.000	0.999	0.000
rs9573163 lBF = `-0.0487735` Chr`13` : `73,908,846`	0.000	0.999	0.000
rs9590974 lBF = `0.178302` Chr`13` : `47,238,717`	0.000	0.999	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	0.999	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.000	0.999	0.000
rs9557321 lBF = `0.0184571` Chr`13` : `100,521,101`	0.000	0.999	0.000
rs373767 lBF = `0.0146481` Chr`13` : `23,294,033`	0.000	0.999	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.000	0.999	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	0.999	0.000
rs7984522 lBF = `-0.0297294` Chr`13` : `109,347,659`	0.000	0.999	0.000
rs4771996 lBF = `-0.099928` Chr`13` : `98,053,792`	0.000	0.999	0.000
rs9510661 lBF = `0.353113` Chr`13` : `23,851,799`	0.000	0.999	0.000
rs9595908 lBF = `0.339609` Chr`13` : `33,184,288`	0.000	0.999	0.000
rs9596219 lBF = `0.31189` Chr`13` : `50,563,447`	0.000	0.999	0.000
rs9315762 lBF = `0.100513` Chr`13` : `40,741,907`	0.000	0.999	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	0.999	0.000
rs7338174 lBF = `-0.00061928` Chr`13` : `51,924,375`	0.000	0.999	0.000
rs2770228 lBF = `-0.00894791` Chr`13` : `98,200,572`	0.000	0.999	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	0.999	0.000
rs7317940 lBF = `-0.0305334` Chr`13` : `78,021,218`	0.000	0.999	0.000
rs12865097 lBF = `-0.0320758` Chr`13` : `45,477,410`	0.000	0.999	0.000
rs9535307 lBF = `-0.0456365` Chr`13` : `50,291,842`	0.000	0.999	0.000
rs518590 lBF = `-0.0737026` Chr`13` : `22,305,099`	0.000	0.999	0.000
rs347412 lBF = `-0.0758012` Chr`13` : `42,786,680`	0.000	0.999	0.000
rs7325564 lBF = `-0.0969813` Chr`13` : `51,724,664`	0.000	0.999	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.000	0.999	0.000
rs7332115 lBF = `0.86443` Chr`13` : `33,147,548`	0.000	0.999	0.000
rs1192201 lBF = `0.25583` Chr`13` : `110,806,490`	0.000	0.999	0.000
rs9545047 lBF = `0.213006` Chr`13` : `79,859,456`	0.000	0.999	0.000
rs7335631 lBF = `0.0897623` Chr`13` : `30,957,688`	0.000	0.999	0.000
rs1926657 lBF = `0.0582323` Chr`13` : `95,874,956`	0.000	0.999	0.000
rs2875517 lBF = `0.0316769` Chr`13` : `67,696,145`	0.000	0.999	0.000
rs2148072 lBF = `0.0194161` Chr`13` : `43,162,063`	0.000	0.999	0.000
rs8002779 lBF = `-0.00518483` Chr`13` : `92,015,977`	0.000	0.999	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	0.999	0.000
rs17511627 lBF = `-0.060438` Chr`13` : `26,724,328`	0.000	0.999	0.000
rs958546 lBF = `-0.0707991` Chr`13` : `46,833,717`	0.000	0.999	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.000	1.000	0.000
rs9548988 lBF = `0.731953` Chr`13` : `40,505,510`	0.000	1.000	0.000
rs9315632 lBF = `0.319659` Chr`13` : `39,516,627`	0.000	1.000	0.000
rs2687950 lBF = `0.261575` Chr`13` : `50,718,468`	0.000	1.000	0.000
rs806321 lBF = `0.218217` Chr`13` : `50,841,323`	0.000	1.000	0.000
rs1413191 lBF = `0.00657196` Chr`13` : `93,213,476`	0.000	1.000	0.000
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.000	1.000	0.000
rs9565309 lBF = `-0.0108052` Chr`13` : `77,577,027`	0.000	1.000	0.000
rs9584154 lBF = `-0.0343349` Chr`13` : `94,426,353`	0.000	1.000	0.000
rs73197788 lBF = `-0.0401139` Chr`13` : `54,593,717`	0.000	1.000	0.000
rs6563695 lBF = `-0.0430247` Chr`13` : `39,903,243`	0.000	1.000	0.000
rs8000245 lBF = `-0.0460945` Chr`13` : `74,730,392`	0.000	1.000	0.000
rs1333026 lBF = `-0.0536107` Chr`13` : `66,120,784`	0.000	1.000	0.000
rs7992643 lBF = `-0.0720002` Chr`13` : `100,555,038`	0.000	1.000	0.000
rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.000	1.000	0.000
rs34065801 lBF = `0.422801` Chr`13` : `36,531,548`	0.000	1.000	0.000
rs1572050 lBF = `0.0338794` Chr`13` : `94,870,765`	0.000	1.000	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.000	1.000	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	1.000	0.000
rs7324845 lBF = `-0.0123017` Chr`13` : `46,703,142`	0.000	1.000	0.000
rs7995618 lBF = `-0.0178469` Chr`13` : `90,014,489`	0.000	1.000	0.000
rs9646096 lBF = `-0.0201529` Chr`13` : `38,065,446`	0.000	1.000	0.000
rs728926 lBF = `-0.0254835` Chr`13` : `74,513,122`	0.000	1.000	0.000
rs72636617 lBF = `-0.0351031` Chr`13` : `95,075,219`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.000	1.000	0.000
rs17085007 lBF = `1.29436` Chr`13` : `27,531,267`	0.000	1.000	0.000
rs2293941 lBF = `0.55605` Chr`13` : `28,491,198`	0.000	1.000	0.000
rs9512755 lBF = `0.281975` Chr`13` : `28,158,229`	0.000	1.000	0.000
rs1927745 lBF = `0.173043` Chr`13` : `107,780,316`	0.000	1.000	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	1.000	0.000
rs7986704 lBF = `0.0261308` Chr`13` : `60,279,546`	0.000	1.000	0.000
rs7987251 lBF = `0.0261308` Chr`13` : `60,279,818`	0.000	1.000	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.000	1.000	0.000
rs9563576 lBF = `0.00138443` Chr`13` : `58,670,147`	0.000	1.000	0.000
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	1.000	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.000	1.000	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.000	1.000	0.000
rs3790022 lBF = `-0.0147772` Chr`13` : `51,576,170`	0.000	1.000	0.000
rs1218282 lBF = `-0.0182198` Chr`13` : `79,455,832`	0.000	1.000	0.000
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.000	1.000	0.000
rs1590305 lBF = `-0.0249349` Chr`13` : `38,035,189`	0.000	1.000	0.000
rs2277425 lBF = `-0.0251482` Chr`13` : `111,522,258`	0.000	1.000	0.000
rs9579199 lBF = `-0.0532141` Chr`13` : `29,164,783`	0.000	1.000	0.000
rs9919839 lBF = `-0.0581421` Chr`13` : `72,174,353`	0.000	1.000	0.000
rs7318731 lBF = `-0.0971247` Chr`13` : `22,709,670`	0.000	1.000	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.3709

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3429

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2355

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9995

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9820

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9725

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9716

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9715

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9692

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9684

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9579

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9526

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9471

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9462

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9377

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9365

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9336

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9281

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9225

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9215

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9207

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9195

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9151

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9149

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9145

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9136

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9098

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9086

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9083

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9008

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9003

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8994

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8985

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8946

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8918

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8905

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8892

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8890

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8877

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8874

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8855

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8830

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8827

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8819

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8767

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8723

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8708

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8685

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8657

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8605

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8570

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8487

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8470

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8423

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8408

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8404

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8400

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8398

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8386

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8372

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8258

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8215

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8196

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8189

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8178

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8146

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8131

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.8127

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8003

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7963

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7930

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7929

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7856

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7842

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7831

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7820

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7808

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7776

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7776

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7771

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7707

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7667

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7644

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7636

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7627

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7623

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7609

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7592

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7546

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7449

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7442

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7433

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7433

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7432

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7426

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7412

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7409

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7403

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7373

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7310

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7301

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7205

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7174

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7166

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7163

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7093

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7088

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7053

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6987

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6983

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6980

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6963

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6911

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6893

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6866

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6832

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6827

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6802

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6790

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6787

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6724

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6660

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6648

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6626

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6520

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6520

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6473

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6365

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6349

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6346

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6342

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6320

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6279

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6089

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6085

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6066

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6006

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5957

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5940

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5876

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5846

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5842

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5812

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5751

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5660

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5558

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5517

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5514

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5427

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5379

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5298

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5273

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5190

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5045

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5033

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4971

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4931

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4927

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4882

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4835

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4766

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4726

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4663

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4620

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4537

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4184

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4114

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4083

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4082

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3841

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3795

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3722

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3675

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3666

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3604

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3593

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3583

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3269

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3217

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3005

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2969

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2927

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2846

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2820

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2693

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2683

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2164

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2149

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1879

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1847

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1817

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1755

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1722

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1543

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1463

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1435

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1349

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1287

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1225

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1109

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0900

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0852

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0689

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0660

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0612

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`)