TreeWAS – [J63] Pneumoconiosis due to other inorganic dusts

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

J63

Pneumoconiosis due to other inorganic dusts

Parent term	J60-J70 Lung diseases due to external agents
Nested terms	J63.0 Aluminosis (of lung) J63.1 Bauxite fibrosis (of lung) J63.2 Berylliosis J63.3 Graphite fibrosis (of lung) J63.4 Siderosis J63.5 Stannosis J63.8 Pneumoconiosis due to other specified inorganic dusts

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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
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.664	0.336	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.657	0.343	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.649	0.351	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.637	0.363	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.636	0.364	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.631	0.369	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.630	0.370	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.626	0.374	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.611	0.389	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.604	0.395	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.596	0.403	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.595	0.405	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.584	0.416	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.566	0.434	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.562	0.438	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.554	0.445	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.542	0.458	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.540	0.459	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.539	0.461	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.535	0.464	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.528	0.472	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.522	0.478	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.521	0.479	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.498	0.502	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.498	0.502	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.492	0.508	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.491	0.509	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.489	0.511	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.489	0.511	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.487	0.513	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.485	0.515	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.485	0.515	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.481	0.518	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.480	0.520	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.473	0.527	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.473	0.527	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.473	0.527	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.469	0.530	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.464	0.536	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.453	0.547	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.447	0.552	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.430	0.570	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.419	0.580	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.416	0.584	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.388	0.611	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.388	0.612	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.380	0.620	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.350	0.650	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.347	0.652	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.344	0.655	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.339	0.661	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.323	0.677	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.292	0.708	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.284	0.716	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.283	0.716	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.236	0.764	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.225	0.775	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.217	0.782	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.202	0.798	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.176	0.824	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.168	0.831	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.153	0.847	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.133	0.867	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.129	0.871	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.119	0.880	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.119	0.881	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.111	0.889	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.098	0.901	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.092	0.907	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.091	0.909	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.082	0.918	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.081	0.919	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.076	0.923	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.073	0.927	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.071	0.929	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.063	0.937	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.056	0.944	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.054	0.945	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.054	0.946	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.053	0.947	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.041	0.959	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.039	0.960	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.034	0.965	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.031	0.968	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	0.975	0.025
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.024	0.976	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.024	0.976	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.016	0.983	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.015	0.985	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.014	0.986	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.014	0.986	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	0.986	0.014
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.010	0.990	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.008	0.991	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.006	0.994	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.995	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.004	0.996	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.004	0.996	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	0.996	0.003
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.997	0.003
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.997	0.001
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	0.997	0.003
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.002	0.998	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.002	0.998	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.001	0.998	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	0.998	0.001
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.001	0.999	0.000
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	0.999	0.001
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.001	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.001	0.999	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	0.999	0.001
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.001	0.999	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.001	0.999	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.001	0.999	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	0.999	0.001
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	0.999	0.001
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.001	0.999	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.001	0.999	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.001	0.999	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	0.999	0.001
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	0.999	0.001
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.001	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.999	0.001
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.001	0.999	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.001	0.999	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.001	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.001	0.999	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	0.999	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	0.999	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	0.999	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	0.999	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	0.999	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	0.999	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	0.999	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	0.999	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	0.999	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	0.999	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.999	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	0.999	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.000	0.999	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	0.999	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	0.999	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	0.999	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.000	0.999	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	0.999	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.999	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
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rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000

This table lists the top 491 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

0.5463

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0523

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7167

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7165

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7165

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7164

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7162

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7156

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7155

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7135

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7135

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7135

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7131

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7116

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7114

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7107

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7107

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7104

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7098

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7095

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7083

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7081

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7074

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7071

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.7069

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7045

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7040

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7029

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7006

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7003

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7000

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6999

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6997

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6992

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6992

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6971

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6964

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6963

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6954

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6937

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6928

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6924

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6900

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6898

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6890

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6877

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6864

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6859

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6847

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6829

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6829

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6822

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6814

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6803

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6781

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6774

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6766

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6759

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6752

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6713

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6706

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6691

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6684

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6682

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6669

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6665

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6633

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6631

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6605

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6598

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6550

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6516

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6507

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6505

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6491

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6472

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6471

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6439

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6431

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6413

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6385

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6366

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6347

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6335

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6303

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6302

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6291

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6232

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6216

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6171

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6146

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6140

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6105

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6103

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6079

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6037

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5963

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5912

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5882

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5879

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5850

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5822

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5789

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5785

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5780

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5758

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5712

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5641

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5637

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5633

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5599

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5598

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5580

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5577

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5574

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5557

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5557

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5531

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5524

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5522

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5497

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5492

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5481

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.5477

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5418

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5413

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5403

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5387

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5379

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5377

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5327

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5229

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5184

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5150

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5141

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5035

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4967

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4958

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4941

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4938

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4926

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4920

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4882

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4877

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4871

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4842

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4826

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4815

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4785

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4745

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4727

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4724

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4721

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4710

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4691

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4660

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4650

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4633

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4521

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4482

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4470

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4424

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4403

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4400

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4397

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4278

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4275

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4264

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4165

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4102

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4087

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4066

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4030

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3853

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3829

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3792

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3723

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3689

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3638

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3527

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3526

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3423

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3357

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3254

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3126

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3109

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3020

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2983

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2818

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2730

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2702

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2675

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2650

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2603

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2372

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2203

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1968

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1808

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1579

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.1476

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1424

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0917

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0700

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.0676

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0545

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

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

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

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)