TreeWAS – [Z13.8] Special screening examination for other specified diseases and disorders

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

Z13.8

Special screening examination for other specified diseases and disorders

Parent term	Z13 Special screening examination for other diseases and disorders
Nested terms	Z13.82 Encounter for screening for musculoskeletal disorder Z13.83 Encounter for screening for respiratory disorder NEC

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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
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.690	0.310	0.000
rs114925849 lBF = `15.4352` Chr`5` : `108,554,590`	0.684	0.316	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.679	0.321	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.668	0.332	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.659	0.341	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.651	0.348	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.644	0.356	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.643	0.357	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.636	0.363	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.628	0.372	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.626	0.374	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.625	0.375	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.624	0.376	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.605	0.395	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.604	0.396	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.596	0.404	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.596	0.404	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.593	0.407	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.592	0.408	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.582	0.418	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.522	0.478	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.515	0.485	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.510	0.490	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.507	0.492	0.000
rs2255280 lBF = `1.07296` Chr`5` : `39,394,989`	0.000	0.499	0.501
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.495	0.504	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.473	0.527	0.000
rs77780208 lBF = `5.21025` Chr`5` : `104,879,134`	0.471	0.529	0.000
rs6862844 lBF = `5.17727` Chr`5` : `124,365,967`	0.469	0.530	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.444	0.556	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.442	0.558	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.440	0.560	0.000
rs80228232 lBF = `25.8823` Chr`5` : `131,388,213`	0.438	0.562	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.437	0.563	0.000
rs189845032 lBF = `4.6421` Chr`5` : `66,373,884`	0.424	0.576	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.389	0.610	0.000
rs12109285 lBF = `4.39094` Chr`5` : `21,749,348`	0.388	0.611	0.000
rs7733624 lBF = `1.60888` Chr`5` : `104,467,115`	0.382	0.618	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.382	0.618	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.378	0.622	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.373	0.627	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.360	0.640	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.355	0.645	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.350	0.650	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.336	0.664	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.334	0.666	0.000
rs193141495 lBF = `1.83175` Chr`5` : `15,802,238`	0.320	0.680	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.315	0.685	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.308	0.691	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.299	0.701	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.296	0.704	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.283	0.717	0.000
rs116394723 lBF = `5.07504` Chr`5` : `39,341,009`	0.281	0.718	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.281	0.719	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.280	0.720	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.277	0.723	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.277	0.723	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.274	0.726	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.269	0.731	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.264	0.736	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.260	0.740	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.255	0.745	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.244	0.756	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.242	0.758	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.225	0.775	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.212	0.788	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.203	0.797	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.202	0.798	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.199	0.800	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.195	0.805	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.194	0.806	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.189	0.810	0.001
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.175	0.825	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.173	0.826	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.171	0.829	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.169	0.830	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.164	0.835	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.150	0.850	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.148	0.852	0.000
rs117041666 lBF = `0.22595` Chr`5` : `75,349,502`	0.145	0.855	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.142	0.858	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.135	0.865	0.000
rs72813183 lBF = `0.972903` Chr`5` : `176,734,648`	0.132	0.867	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.132	0.868	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.131	0.868	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.129	0.871	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.124	0.876	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.123	0.877	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.120	0.880	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.116	0.884	0.000
rs115525301 lBF = `14.6439` Chr`5` : `176,932,440`	0.114	0.886	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.108	0.892	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.107	0.893	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.107	0.893	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.105	0.895	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.104	0.896	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.102	0.897	0.001
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.102	0.897	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.102	0.898	0.000
rs10440708 lBF = `1.90063` Chr`5` : `172,650,487`	0.101	0.899	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.100	0.900	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.099	0.900	0.000
rs7725038 lBF = `8.19793` Chr`5` : `145,388,180`	0.092	0.908	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.090	0.909	0.001
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.085	0.915	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.084	0.916	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.083	0.917	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.078	0.922	0.000
rs77885874 lBF = `3.45781` Chr`5` : `125,848,356`	0.077	0.923	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.076	0.924	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.073	0.927	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.072	0.928	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.068	0.931	0.001
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.068	0.931	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.067	0.932	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.064	0.936	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.062	0.938	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.062	0.938	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.059	0.941	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.058	0.942	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.050	0.950	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.050	0.950	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.048	0.952	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.048	0.952	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.047	0.953	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.047	0.953	0.000
rs76550486 lBF = `0.0837928` Chr`5` : `45,479,895`	0.046	0.954	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.044	0.956	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.043	0.957	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.040	0.960	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.040	0.960	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.039	0.961	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.038	0.962	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.038	0.962	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.037	0.963	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.036	0.964	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.036	0.964	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.035	0.964	0.000
rs115467216 lBF = `17.4437` Chr`5` : `121,359,965`	0.031	0.968	0.001
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.031	0.968	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.030	0.969	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.030	0.970	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.030	0.970	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.028	0.971	0.002
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.029	0.971	0.000
rs185894886 lBF = `0.986587` Chr`5` : `133,129,951`	0.029	0.971	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.029	0.971	0.000
rs116348108 lBF = `0.0161325` Chr`5` : `118,435,127`	0.029	0.971	0.000
rs7726354 lBF = `16.6785` Chr`5` : `56,256,483`	0.028	0.972	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.027	0.973	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.027	0.973	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.027	0.973	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.026	0.974	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.026	0.974	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.025	0.974	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.025	0.975	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.025	0.975	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.024	0.975	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.023	0.976	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.020	0.979	0.001
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.020	0.979	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.020	0.980	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.019	0.981	0.000
rs75002042 lBF = `0.149004` Chr`5` : `15,669,967`	0.019	0.981	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.018	0.981	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.018	0.982	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.017	0.982	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.017	0.983	0.000
rs74935252 lBF = `0.0234557` Chr`5` : `79,029,311`	0.017	0.983	0.000
rs7722425 lBF = `0.0856015` Chr`5` : `127,125,762`	0.017	0.983	0.000
rs188951355 lBF = `0.267959` Chr`5` : `142,933,351`	0.016	0.983	0.000
rs10463833 lBF = `0.0826456` Chr`5` : `127,122,312`	0.016	0.984	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.016	0.984	0.000
rs7726414 lBF = `7.38602` Chr`5` : `133,431,834`	0.015	0.985	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.015	0.985	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.014	0.985	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.014	0.986	0.001
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.014	0.986	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.014	0.986	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.014	0.986	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.013	0.986	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.013	0.987	0.000
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.013	0.987	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.013	0.987	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.012	0.988	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.012	0.988	0.000
rs9637932 lBF = `5.60237` Chr`5` : `178,403,949`	0.012	0.988	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.011	0.988	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.011	0.988	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.011	0.989	0.000
rs2973662 lBF = `0.0124314` Chr`5` : `167,210,472`	0.011	0.989	0.000
rs185237819 lBF = `0.0140932` Chr`5` : `78,044,910`	0.010	0.990	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.010	0.990	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.010	0.990	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.010	0.990	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.010	0.990	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.009	0.991	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.009	0.991	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.009	0.991	0.000
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rs191814357 lBF = `-0.00001531` Chr`5` : `43,745,422`	0.001	0.999	0.000
rs192558570 lBF = `-0.00001531` Chr`5` : `43,792,527`	0.001	0.999	0.000
rs75386498 lBF = `-0.00001531` Chr`5` : `43,426,418`	0.001	0.999	0.000
rs115378923 lBF = `-0.00001531` Chr`5` : `43,548,688`	0.001	0.999	0.000
rs115760645 lBF = `-0.00001531` Chr`5` : `43,643,225`	0.001	0.999	0.000
rs144969515 lBF = `-0.00001531` Chr`5` : `43,756,930`	0.001	0.999	0.000
rs75617866 lBF = `-0.00001531` Chr`5` : `43,858,674`	0.001	0.999	0.000
rs186211928 lBF = `-0.00001531` Chr`5` : `43,741,553`	0.001	0.999	0.000
rs115955109 lBF = `-0.00001531` Chr`5` : `43,774,112`	0.001	0.999	0.000
rs115681743 lBF = `-0.00001531` Chr`5` : `43,420,142`	0.001	0.999	0.000
rs77333560 lBF = `-0.00001531` Chr`5` : `43,596,346`	0.001	0.999	0.000
rs138936180 lBF = `-0.00001531` Chr`5` : `43,818,796`	0.001	0.999	0.000
rs150379724 lBF = `-0.00001531` Chr`5` : `43,722,555`	0.001	0.999	0.000
rs116599402 lBF = `-0.00001531` Chr`5` : `43,765,675`	0.001	0.999	0.000
rs75401687 lBF = `-0.00001811` Chr`5` : `43,515,173`	0.001	0.999	0.000
rs147861254 lBF = `-0.0000194` Chr`5` : `43,814,323`	0.001	0.999	0.000
rs186263310 lBF = `-0.00002455` Chr`5` : `127,875,736`	0.000	0.999	0.001
rs7734448 lBF = `-0.0000668` Chr`5` : `135,214,677`	0.001	0.999	0.000
rs10067755 lBF = `0.00001117` Chr`5` : `67,307,462`	0.001	0.999	0.000
rs192225282 lBF = `-0.00009013` Chr`5` : `43,672,963`	0.001	0.999	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.001	0.999	0.000
rs180824717 lBF = `0.135366` Chr`5` : `146,456,873`	0.000	0.999	0.001
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.001	0.999	0.000
rs830884 lBF = `0.0159547` Chr`5` : `52,020,396`	0.000	0.999	0.001
rs17504301 lBF = `5.6678` Chr`5` : `123,705,763`	0.001	0.999	0.000
rs146641304 lBF = `-0.00502539` Chr`5` : `178,920,202`	0.000	0.999	0.001
rs41270301 lBF = `0.0135385` Chr`5` : `52,780,143`	0.001	0.999	0.000
rs1491921 lBF = `0.09389` Chr`5` : `21,259,138`	0.001	0.999	0.000
rs112724034 lBF = `-0.00927031` Chr`5` : `109,221,026`	0.001	0.999	0.000
rs186292051 lBF = `0.010775` Chr`5` : `88,325,830`	0.000	0.999	0.001
rs10515260 lBF = `-0.00494051` Chr`5` : `97,076,548`	0.001	0.999	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.000	0.999	0.001
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.001	0.999	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.001	0.999	0.000
rs35391 lBF = `10.1345` Chr`5` : `33,955,673`	0.001	0.999	0.000
rs62378245 lBF = `0.0143797` Chr`5` : `88,743,962`	0.001	0.999	0.000
rs11951068 lBF = `0.013514` Chr`5` : `78,304,314`	0.000	0.999	0.001
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.001	0.999	0.000
rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.001	0.999	0.000
rs7446359 lBF = `1.46394` Chr`5` : `127,890,720`	0.001	0.999	0.000
rs9293513 lBF = `0.0145875` Chr`5` : `88,633,784`	0.000	0.999	0.000
rs4865875 lBF = `-0.0291405` Chr`5` : `54,117,443`	0.000	0.999	0.001
rs251130 lBF = `-0.0875652` Chr`5` : `110,859,797`	0.001	0.999	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.001	0.999	0.000
rs6890783 lBF = `0.00693409` Chr`5` : `172,292,306`	0.000	0.999	0.000
rs396045 lBF = `-0.133943` Chr`5` : `25,841,613`	0.001	0.999	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.001	0.999	0.000
rs57917647 lBF = `0.00861701` Chr`5` : `152,503,938`	0.001	0.999	0.000
rs6895539 lBF = `-0.00288397` Chr`5` : `56,843,185`	0.000	0.999	0.000
rs35390 lBF = `9.53908` Chr`5` : `33,955,326`	0.000	0.999	0.000
rs12109307 lBF = `0.328099` Chr`5` : `120,906,482`	0.000	0.999	0.001
rs13183791 lBF = `0.00431391` Chr`5` : `64,534,641`	0.000	0.999	0.001
rs11748684 lBF = `-0.00237167` Chr`5` : `42,288,593`	0.001	0.999	0.000
rs10037055 lBF = `0.295212` Chr`5` : `176,691,279`	0.000	0.999	0.001
rs1588265 lBF = `0.0229204` Chr`5` : `59,369,794`	0.000	0.999	0.000
rs111942351 lBF = `-0.0151146` Chr`5` : `143,073,550`	0.000	0.999	0.000
rs1353747 lBF = `-0.0561023` Chr`5` : `58,337,481`	0.000	0.999	0.000
rs1438673 lBF = `16.4296` Chr`5` : `110,467,499`	0.000	0.999	0.000
rs186147679 lBF = `0.00723702` Chr`5` : `93,709,122`	0.000	0.999	0.000
rs114403726 lBF = `-0.00106192` Chr`5` : `154,056,080`	0.000	0.999	0.000
rs2962370 lBF = `-0.074034` Chr`5` : `17,215,444`	0.001	0.999	0.000
rs152784 lBF = `14.4221` Chr`5` : `132,772,431`	0.000	0.999	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.000	0.999	0.000
rs76138999 lBF = `6.4088` Chr`5` : `102,029,219`	0.000	0.999	0.000
rs116688600 lBF = `0.0471552` Chr`5` : `26,746,383`	0.000	0.999	0.000
rs78392994 lBF = `0.0460488` Chr`5` : `108,288,903`	0.000	0.999	0.000
rs16871023 lBF = `0.0355348` Chr`5` : `73,215,237`	0.000	0.999	0.000
rs59920395 lBF = `0.00344072` Chr`5` : `3,650,343`	0.000	0.999	0.000
rs575018 lBF = `-0.0268846` Chr`5` : `100,379,393`	0.000	0.999	0.000
rs6897932 lBF = `0.289437` Chr`5` : `35,874,575`	0.000	0.999	0.000
rs17161553 lBF = `-0.00697234` Chr`5` : `100,301,806`	0.000	0.999	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.000	0.999	0.000
rs58873874 lBF = `0.0624033` Chr`5` : `156,945,148`	0.000	0.999	0.000
rs112730887 lBF = `0.0344009` Chr`5` : `62,240,926`	0.000	0.999	0.000
rs7705924 lBF = `0.00027709` Chr`5` : `101,946,798`	0.000	0.999	0.000
rs17504622 lBF = `-0.00395668` Chr`5` : `152,654,479`	0.000	0.999	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.000	0.999	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.000	0.999	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.000	0.999	0.000
rs114461222 lBF = `0.151805` Chr`5` : `112,212,914`	0.000	0.999	0.000
rs75094680 lBF = `-0.00521636` Chr`5` : `30,558,137`	0.000	0.999	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.000	0.999	0.000
rs7735563 lBF = `0.124872` Chr`5` : `130,764,936`	0.000	0.999	0.000
rs2548621 lBF = `0.0603001` Chr`5` : `53,902,339`	0.000	0.999	0.000
rs76314368 lBF = `-0.00009115` Chr`5` : `116,492,833`	0.000	0.999	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.000	0.999	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.000	0.999	0.000
rs7712641 lBF = `0.0836131` Chr`5` : `88,902,964`	0.000	0.999	0.000
rs9313296 lBF = `0.0323376` Chr`5` : `165,377,699`	0.000	0.999	0.000
rs138833221 lBF = `0.0100462` Chr`5` : `93,696,299`	0.000	0.999	0.000
rs16867528 lBF = `0.00413596` Chr`5` : `15,607,448`	0.000	0.999	0.000
rs186127414 lBF = `-0.00147716` Chr`5` : `151,181,386`	0.000	0.999	0.000
rs17428704 lBF = `-0.0134889` Chr`5` : `14,434,264`	0.000	0.999	0.000
rs147346874 lBF = `-0.0633965` Chr`5` : `7,296,723`	0.000	0.999	0.000
rs6556301 lBF = `-0.0722448` Chr`5` : `176,527,577`	0.000	0.999	0.000
rs146579248 lBF = `0.0597844` Chr`5` : `127,382,302`	0.000	0.999	0.000
rs705415 lBF = `0.042648` Chr`5` : `78,291,960`	0.000	0.999	0.000
rs77655443 lBF = `0.0263194` Chr`5` : `46,117,611`	0.000	0.999	0.000
rs146002062 lBF = `0.0106673` Chr`5` : `66,286,149`	0.000	0.999	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

0.0825

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0642

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7167

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7166

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7156

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7154

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7151

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7144

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7106

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7067

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6986

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6967

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6904

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6861

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6830

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6821

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6776

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6749

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6710

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6687

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6680

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6663

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6639

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6601

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6583

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6576

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6522

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6293

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6289

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6282

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6281

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6237

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6215

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6069

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6043

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6027

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6004

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5847

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5821

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5778

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5770

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5734

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5635

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5625

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5622

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5461

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5457

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5435

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5430

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5410

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5363

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5355

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5211

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5174

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4875

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4742

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4540

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4362

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4093

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4051

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3822

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3767

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3462

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3275

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2991

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2776

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2733

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2662

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2526

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2519

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2491

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2357

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2340

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2273

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2273

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2234

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2182

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2181

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1909

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1875

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1826

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1619

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1418

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1383

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1329

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1320

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1241

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1138

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1124

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1103

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1052

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1033

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0958

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0956

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0917

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0858

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0845

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0843

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0815

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0755

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0717

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0664

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0620

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0614

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0580

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0573

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0559

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0527

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`)