TreeWAS – [J69] Pneumonitis due to solids and liquids

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

J69

Pneumonitis due to solids and liquids

Parent term	J60-J70 Lung diseases due to external agents
Nested terms	J69.0 Pneumonitis due to food and vomit J69.1 Pneumonitis due to oils and essences J69.8 Pneumonitis due to other solids and liquids

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Variant effects

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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
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.934	0.066	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.871	0.129	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.793	0.207	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.781	0.219	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.744	0.256	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.711	0.289	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.703	0.297	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.674	0.326	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.645	0.355	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.625	0.375	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.623	0.376	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.615	0.384	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.609	0.391	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.602	0.398	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.602	0.398	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.602	0.398	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.575	0.425	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.574	0.426	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.568	0.432	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.558	0.442	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.550	0.450	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.545	0.455	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.539	0.461	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.537	0.463	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.533	0.466	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.521	0.479	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.515	0.484	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.515	0.485	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.488	0.512
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.507	0.493	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.501	0.499	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.494	0.506	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.490	0.510	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.489	0.511	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.484	0.515	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.483	0.516	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.479	0.521	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.476	0.524	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.470	0.530	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.469	0.530	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.468	0.532	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.466	0.534	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.453	0.547	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.453	0.547	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.436	0.564	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.434	0.566	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.433	0.567	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.431	0.569	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.431	0.569	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.427	0.573	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.425	0.575	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.423	0.576	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.423	0.576	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.422	0.578	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.421	0.579	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.420	0.580	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.415	0.585	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.409	0.591	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.406	0.593	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.401	0.598	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.399	0.600	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.399	0.601	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.399	0.601	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.395	0.605	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.394	0.605	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.391	0.608	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.390	0.610	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.389	0.610	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.388	0.611	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.384	0.616	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.381	0.619	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.373	0.627	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.368	0.631	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.363	0.637	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.359	0.641	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.350	0.650	0.001
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.347	0.653	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.343	0.656	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.335	0.664	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.333	0.667	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.330	0.669	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.323	0.677	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.313	0.687	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.313	0.687	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.309	0.691	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.307	0.692	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.305	0.695	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.301	0.699	0.001
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.298	0.702	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.297	0.703	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.292	0.708	0.001
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.287	0.713	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.287	0.713	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.272	0.728	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.262	0.737	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.248	0.751	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.245	0.755	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.243	0.756	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.226	0.774	0.001
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.222	0.778	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.218	0.781	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.216	0.784	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.213	0.786	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.208	0.792	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.208	0.792	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.205	0.795	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.186	0.814	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.183	0.817	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.181	0.819	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.174	0.826	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.168	0.832	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.140	0.860	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.134	0.866	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.134	0.866	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.121	0.879	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.106	0.894	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.096	0.904	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.082	0.918	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.076	0.924	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.075	0.925	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.071	0.929	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.066	0.933	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.066	0.934	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.065	0.934	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.049	0.951	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.047	0.952	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.047	0.953	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.047	0.953	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.046	0.954	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.044	0.955	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.042	0.958	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.039	0.961	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.038	0.961	0.000
rs548097 lBF = `0.0503721` Chr`13` : `75,776,268`	0.000	0.962	0.038
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.033	0.967	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.032	0.967	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.030	0.970	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.028	0.972	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.025	0.974	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.024	0.976	0.001
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.023	0.977	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.021	0.978	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.021	0.979	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.021	0.979	0.000
rs7993214 lBF = `1.09418` Chr`13` : `40,350,912`	0.020	0.980	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.018	0.982	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.018	0.982	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.017	0.983	0.000
rs9603616 lBF = `1.47804` Chr`13` : `40,368,069`	0.000	0.985	0.015
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.014	0.986	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.014	0.986	0.000
rs9603612 lBF = `1.25009` Chr`13` : `40,334,852`	0.000	0.986	0.014
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.012	0.988	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.011	0.988	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.011	0.988	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.011	0.988	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.010	0.989	0.001
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.011	0.989	0.000
rs1000589 lBF = `-0.124758` Chr`13` : `64,141,913`	0.010	0.990	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.008	0.992	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.008	0.992	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.008	0.992	0.000
rs34394770 lBF = `0.964353` Chr`13` : `40,333,369`	0.000	0.992	0.008
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.007	0.992	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.007	0.993	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.006	0.993	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.006	0.994	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.004	0.995	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.004	0.996	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.004	0.996	0.000
rs10492681 lBF = `-0.0716346` Chr`13` : `40,807,483`	0.000	0.996	0.004
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.004	0.996	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.003	0.996	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.003	0.997	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.003	0.997	0.000
rs4304924 lBF = `-0.0987476` Chr`13` : `79,238,925`	0.003	0.997	0.000
rs1900442 lBF = `-0.0972085` Chr`13` : `42,505,674`	0.003	0.997	0.000
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.003	0.997	0.000
rs2770228 lBF = `-0.00894791` Chr`13` : `98,200,572`	0.003	0.997	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	0.997	0.003
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs56084662 lBF = `0.0799177` Chr`13` : `32,869,864`	0.002	0.998	0.000
rs3736830 lBF = `-0.02483` Chr`13` : `50,306,221`	0.000	0.998	0.002
rs79972364 lBF = `-0.0282665` Chr`13` : `101,831,748`	0.002	0.998	0.000
rs4771122 lBF = `0.0536677` Chr`13` : `28,020,180`	0.002	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.002	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.002	0.998	0.000
rs9534578 lBF = `-0.0245164` Chr`13` : `47,843,377`	0.000	0.998	0.002
rs9318086 lBF = `-0.106645` Chr`13` : `24,432,467`	0.000	0.998	0.002
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.998	0.002
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.002	0.998	0.000
rs7335046 lBF = `3.79919` Chr`13` : `100,041,738`	0.000	0.998	0.001
rs9535307 lBF = `-0.0456365` Chr`13` : `50,291,842`	0.000	0.998	0.002
rs4148546 lBF = `-0.095207` Chr`13` : `95,680,285`	0.001	0.998	0.000
rs17086609 lBF = `-0.0970323` Chr`13` : `28,929,711`	0.002	0.998	0.000
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rs1323612 lBF = `0.12918` Chr`13` : `43,291,289`	0.000	1.000	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	1.000	0.000
rs9556958 lBF = `0.0920075` Chr`13` : `99,100,046`	0.000	1.000	0.000
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.000	1.000	0.000
rs9563576 lBF = `0.00138443` Chr`13` : `58,670,147`	0.000	1.000	0.000
rs9508025 lBF = `-0.0065922` Chr`13` : `28,984,063`	0.000	1.000	0.000
rs9517302 lBF = `-0.0314608` Chr`13` : `99,096,034`	0.000	1.000	0.000
rs17051917 lBF = `-0.0654832` Chr`13` : `35,768,789`	0.000	1.000	0.000
rs347412 lBF = `-0.0758012` Chr`13` : `42,786,680`	0.000	1.000	0.000
rs3742207 lBF = `-0.0989003` Chr`13` : `110,818,598`	0.000	1.000	0.000
rs3885907 lBF = `0.241518` Chr`13` : `31,314,455`	0.000	1.000	0.000
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs7336109 lBF = `-0.0350337` Chr`13` : `106,589,141`	0.000	1.000	0.000
rs71440053 lBF = `-0.0369171` Chr`13` : `110,829,882`	0.000	1.000	0.000
rs4083578 lBF = `-0.0385411` Chr`13` : `72,768,709`	0.000	1.000	0.000
rs6563695 lBF = `-0.0430247` Chr`13` : `39,903,243`	0.000	1.000	0.000
rs188014 lBF = `0.290841` Chr`13` : `50,969,923`	0.000	1.000	0.000
rs11838776 lBF = `0.272241` Chr`13` : `111,040,681`	0.000	1.000	0.000
rs12429545 lBF = `0.248866` Chr`13` : `54,102,206`	0.000	1.000	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.000	1.000	0.000
rs1926657 lBF = `0.0582323` Chr`13` : `95,874,956`	0.000	1.000	0.000
rs2875517 lBF = `0.0316769` Chr`13` : `67,696,145`	0.000	1.000	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.000	1.000	0.000
rs12868495 lBF = `0.0035367` Chr`13` : `34,641,562`	0.000	1.000	0.000
rs59876823 lBF = `-0.00911228` Chr`13` : `100,734,524`	0.000	1.000	0.000
rs9594221 lBF = `-0.0274964` Chr`13` : `38,118,531`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs8000245 lBF = `-0.0460945` Chr`13` : `74,730,392`	0.000	1.000	0.000
rs7999075 lBF = `-0.0558227` Chr`13` : `22,620,207`	0.000	1.000	0.000
rs11616947 lBF = `8.69216` Chr`13` : `107,900,049`	0.000	1.000	0.000
rs9594759 lBF = `1.98815` Chr`13` : `43,032,593`	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
rs10492604 lBF = `0.0831316` Chr`13` : `58,904,313`	0.000	1.000	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	1.000	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	1.000	0.000
rs1590305 lBF = `-0.0249349` Chr`13` : `38,035,189`	0.000	1.000	0.000
rs12865097 lBF = `-0.0320758` Chr`13` : `45,477,410`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	1.000	0.000
rs561437 lBF = `-0.0559522` Chr`13` : `110,936,227`	0.000	1.000	0.000
rs185694 lBF = `-0.071821` Chr`13` : `30,885,223`	0.000	1.000	0.000
rs9531686 lBF = `-0.0895328` Chr`13` : `85,549,736`	0.000	1.000	0.000
rs1155848 lBF = `0.0842416` Chr`13` : `79,888,476`	0.000	1.000	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.000	1.000	0.000
rs17267292 lBF = `0.0220614` Chr`13` : `93,323,146`	0.000	1.000	0.000
rs9565309 lBF = `-0.0108052` Chr`13` : `77,577,027`	0.000	1.000	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs9581094 lBF = `-0.0257043` Chr`13` : `25,082,630`	0.000	1.000	0.000
rs72636617 lBF = `-0.0351031` Chr`13` : `95,075,219`	0.000	1.000	0.000
rs9919839 lBF = `-0.0581421` Chr`13` : `72,174,353`	0.000	1.000	0.000
rs17511627 lBF = `-0.060438` Chr`13` : `26,724,328`	0.000	1.000	0.000
rs9536591 lBF = `-0.0990323` Chr`13` : `54,581,087`	0.000	1.000	0.000
rs7323885 lBF = `10.2319` Chr`13` : `24,782,560`	0.000	1.000	0.000
rs9525916 lBF = `0.17004` Chr`13` : `44,702,869`	0.000	1.000	0.000
rs9316337 lBF = `0.164751` Chr`13` : `21,962,207`	0.000	1.000	0.000
rs9574565 lBF = `0.127341` Chr`13` : `80,668,874`	0.000	1.000	0.000
rs7327064 lBF = `0.110379` Chr`13` : `36,771,017`	0.000	1.000	0.000
rs17596685 lBF = `0.0331689` Chr`13` : `43,117,201`	0.000	1.000	0.000
rs9568856 lBF = `0.0179436` Chr`13` : `54,064,981`	0.000	1.000	0.000
rs7324021 lBF = `-0.00440337` Chr`13` : `20,637,140`	0.000	1.000	0.000
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.000	1.000	0.000
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.000	1.000	0.000
rs16946160 lBF = `-0.0293461` Chr`13` : `92,203,813`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	1.000	0.000
rs4770837 lBF = `-0.0577583` Chr`13` : `26,037,960`	0.000	1.000	0.000
rs2253017 lBF = `-0.0704988` Chr`13` : `21,300,909`	0.000	1.000	0.000
rs6491411 lBF = `-0.0811288` Chr`13` : `98,904,568`	0.000	1.000	0.000
rs2785946 lBF = `-0.0938217` Chr`13` : `54,929,198`	0.000	1.000	0.000
rs4773144 lBF = `-0.099209` Chr`13` : `110,960,712`	0.000	1.000	0.000
rs9533799 lBF = `-0.117337` Chr`13` : `44,808,174`	0.000	1.000	0.000
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	1.000	0.000
rs35058679 lBF = `0.103442` Chr`13` : `96,145,379`	0.000	1.000	0.000
rs603894 lBF = `0.0931995` Chr`13` : `103,355,327`	0.000	1.000	0.000
rs17070284 lBF = `0.0707246` Chr`13` : `79,359,424`	0.000	1.000	0.000
rs79709413 lBF = `0.0165564` Chr`13` : `25,314,626`	0.000	1.000	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.000	1.000	0.000
rs17714988 lBF = `-0.00333833` Chr`13` : `74,995,660`	0.000	1.000	0.000
rs1902272 lBF = `-0.0189901` Chr`13` : `32,125,315`	0.000	1.000	0.000
rs17594362 lBF = `-0.0211249` Chr`13` : `42,139,245`	0.000	1.000	0.000
rs17534004 lBF = `-0.0236867` Chr`13` : `31,469,665`	0.000	1.000	0.000
rs1536407 lBF = `-0.0247314` Chr`13` : `75,095,567`	0.000	1.000	0.000
rs35540212 lBF = `-0.0279034` Chr`13` : `36,768,682`	0.000	1.000	0.000
rs9547929 lBF = `-0.0303327` Chr`13` : `38,116,392`	0.000	1.000	0.000
rs589636 lBF = `-0.04866` Chr`13` : `77,516,576`	0.000	1.000	0.000
rs9561329 lBF = `-0.052235` Chr`13` : `94,011,169`	0.000	1.000	0.000
rs1550546 lBF = `-0.0725951` Chr`13` : `70,658,404`	0.000	1.000	0.000
rs9552733 lBF = `-0.0997026` Chr`13` : `23,412,923`	0.000	1.000	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	1.000	0.000
rs9568867 lBF = `0.205963` Chr`13` : `54,107,352`	0.000	1.000	0.000
rs9536463 lBF = `0.1609` Chr`13` : `54,132,247`	0.000	1.000	0.000
rs150841795 lBF = `0.142928` Chr`13` : `54,137,749`	0.000	1.000	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.000	1.000	0.000
rs9315762 lBF = `0.100513` Chr`13` : `40,741,907`	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
rs9315385 lBF = `0.00077407` Chr`13` : `36,663,302`	0.000	1.000	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.000	1.000	0.000
rs17079247 lBF = `-0.0203209` Chr`13` : `85,665,879`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6284

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0646

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9998

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9996

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9982

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9977

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9970

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9916

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9888

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9880

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9860

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9845

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9828

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9825

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9705

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9671

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9632

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.9604

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9561

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9536

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9527

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9490

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9461

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9456

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9411

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9408

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9339

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9274

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9256

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9224

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9215

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9204

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9062

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9060

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9043

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8972

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8871

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8716

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8715

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8703

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8673

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8661

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8651

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8435

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8422

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8347

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8119

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8107

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8103

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8089

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8079

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7951

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7912

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7908

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7760

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7681

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6889

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6884

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6785

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6783

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6732

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6730

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6704

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6635

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6548

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6407

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6315

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6314

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6297

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6255

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6254

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6217

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6154

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6146

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6075

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6022

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6007

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5861

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5782

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.5769

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5766

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5765

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5738

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5556

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5540

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5448

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5382

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5354

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5352

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5305

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5261

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5241

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5224

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5207

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5182

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5141

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5103

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5010

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4965

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4927

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4896

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4888

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4864

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4847

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4822

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4819

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4796

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4749

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4742

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4664

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4589

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4583

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4518

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4487

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4385

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4377

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4280

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4213

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4168

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4161

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4152

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4068

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4061

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4059

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4007

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3988

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3967

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3952

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3951

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3940

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3874

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3872

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3843

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3804

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3797

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3792

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3695

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3693

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3677

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3638

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3623

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3598

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3597

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3548

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3547

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3537

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3516

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3481

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3481

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3456

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3437

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3416

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3407

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3395

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3391

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3343

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3327

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3309

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3292

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3285

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3269

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3217

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3191

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3178

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2987

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2957

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2913

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2910

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2860

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2835

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2833

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2803

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2801

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2790

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2786

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2753

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2750

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2727

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2727

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2638

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.2473

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2424

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2384

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2321

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2219

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2209

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2196

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2171

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2149

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2133

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2129

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2097

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1865

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1818

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1799

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1615

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1601

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1560

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1379

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1116

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1090

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.0761

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0568

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)

Hospitalization Episode Statistics (`HES`)