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
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.716	0.284	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.709	0.291	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.694	0.306	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.676	0.324	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.670	0.330	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.656	0.344	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.649	0.351	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.638	0.362	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.617	0.383	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.600	0.400	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.589	0.411	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.588	0.412	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.572	0.428	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.567	0.433	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.559	0.440	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.559	0.441	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.555	0.445	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.554	0.446	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.551	0.449	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.548	0.452	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.545	0.455	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.543	0.457	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.542	0.458	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.538	0.461	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.527	0.473	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.515	0.485	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.513	0.487	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.512	0.488	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.510	0.489	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.505	0.494	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.501	0.499	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.492	0.507	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.491	0.509	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.477	0.523	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.464	0.536	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.456	0.544	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.451	0.548	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.447	0.552	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.441	0.558	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.412	0.588	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.406	0.594	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.403	0.597	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.403	0.597	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.376	0.624	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.369	0.631	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.369	0.631	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.360	0.639	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.337	0.663	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.334	0.666	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.319	0.681	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.318	0.682	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.314	0.686	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.299	0.700	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.298	0.702	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.298	0.702	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.292	0.708	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.275	0.725	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.271	0.729	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.268	0.732	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.267	0.733	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.001	0.733	0.266
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.249	0.751	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.245	0.755	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.237	0.763	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.236	0.764	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.234	0.766	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.232	0.768	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.231	0.769	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.230	0.770	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.207	0.793	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.202	0.798	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.199	0.801	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.198	0.801	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.195	0.805	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.192	0.808	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.190	0.810	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.184	0.816	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.159	0.841	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.154	0.846	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.152	0.848	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.143	0.856	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.143	0.857	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.142	0.857	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.142	0.858	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.136	0.864	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.122	0.877	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.120	0.880	0.000
rs2025875 lBF = `0.0783149` Chr`9` : `112,596,911`	0.000	0.882	0.118
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.109	0.891	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.102	0.897	0.001
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.101	0.899	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.098	0.902	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.088	0.912	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.085	0.914	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.085	0.915	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.081	0.919	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.077	0.923	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.076	0.923	0.001
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.075	0.925	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.073	0.927	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.073	0.927	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.072	0.928	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.072	0.928	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.070	0.929	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.066	0.933	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.065	0.935	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.064	0.936	0.001
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.061	0.939	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.059	0.941	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.054	0.946	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.051	0.947	0.002
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.047	0.953	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.047	0.953	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.046	0.953	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.043	0.957	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.041	0.958	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.039	0.961	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.033	0.967	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.032	0.968	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.031	0.969	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.028	0.972	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.026	0.973	0.001
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.026	0.973	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.024	0.976	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.023	0.977	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.020	0.979	0.001
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.019	0.981	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.019	0.981	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.017	0.982	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.017	0.983	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.016	0.984	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.015	0.985	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.015	0.985	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.014	0.986	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.012	0.988	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.012	0.988	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.012	0.988	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.011	0.989	0.000
rs1327796 lBF = `-0.0416522` Chr`9` : `112,526,289`	0.000	0.990	0.010
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.009	0.990	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.008	0.992	0.000
rs138901640 lBF = `-0.00500691` Chr`9` : `120,793,765`	0.008	0.992	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.008	0.992	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.007	0.992	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.007	0.993	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.007	0.993	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.007	0.993	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.007	0.993	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.007	0.993	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.006	0.993	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.006	0.994	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.006	0.994	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.006	0.994	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.005	0.995	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.004	0.996	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.004	0.996	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.004	0.996	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.003	0.996	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.003	0.996	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.003	0.997	0.000
rs10867921 lBF = `-0.0173266` Chr`9` : `85,609,781`	0.000	0.997	0.003
rs142965926 lBF = `0.0469266` Chr`9` : `136,618,128`	0.003	0.997	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.003	0.997	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.003	0.997	0.000
rs143639284 lBF = `0.00187276` Chr`9` : `5,140,958`	0.003	0.997	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.003	0.997	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.002	0.998	0.000
rs364477 lBF = `-0.0522908` Chr`9` : `955,794`	0.000	0.998	0.002
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.002	0.998	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.002	0.998	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.000	0.998	0.002
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.001	0.998	0.001
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.002	0.998	0.000
rs118043898 lBF = `0.0258933` Chr`9` : `24,431,792`	0.002	0.998	0.000
rs117000167 lBF = `0.00350061` Chr`9` : `124,678,821`	0.002	0.998	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.001	0.998	0.000
rs10988802 lBF = `0.126426` Chr`9` : `98,376,699`	0.000	0.998	0.002
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.001	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.998	0.000
rs1333040 lBF = `229.258` Chr`9` : `22,083,404`	0.000	0.998	0.001
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.001	0.998	0.001
rs3731217 lBF = `0.0725148` Chr`9` : `21,984,661`	0.001	0.998	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.001	0.998	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.001	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.001	0.999	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.001	0.999	0.000
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.001	0.999	0.000
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.001	0.999	0.000
rs12346945 lBF = `0.0003603` Chr`9` : `98,844,059`	0.001	0.999	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.001	0.999	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.001	0.999	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.001	0.999	0.000
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs13292136 lBF = `0.235448` Chr`9` : `81,952,128`	0.000	0.999	0.001
rs17791513 lBF = `0.363098` Chr`9` : `81,905,590`	0.000	0.999	0.001
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
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rs17425819 lBF = `15.7716` Chr`9` : `5,114,773`	0.000	1.000	0.000
rs3824433 lBF = `15.607` Chr`9` : `5,113,577`	0.000	1.000	0.000
rs3780381 lBF = `14.9163` Chr`9` : `5,114,523`	0.000	1.000	0.000
rs10118930 lBF = `12.6461` Chr`9` : `5,148,278`	0.000	1.000	0.000
rs10975003 lBF = `8.89331` Chr`9` : `5,213,687`	0.000	1.000	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.000	1.000	0.000
rs10975740 lBF = `5.23448` Chr`9` : `676,741`	0.000	1.000	0.000
rs11792861 lBF = `0.771754` Chr`9` : `111,809,295`	0.000	1.000	0.000
rs2210430 lBF = `0.0966713` Chr`9` : `25,501,297`	0.000	1.000	0.000
rs17481720 lBF = `0.0076358` Chr`9` : `131,889,294`	0.000	1.000	0.000
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.000	1.000	0.000
rs11243676 lBF = `-0.0131403` Chr`9` : `135,096,767`	0.000	1.000	0.000
rs12554707 lBF = `-0.0688935` Chr`9` : `22,842,202`	0.000	1.000	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.000	1.000	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.000	1.000	0.000
rs13288988 lBF = `0.636504` Chr`9` : `11,114,858`	0.000	1.000	0.000
rs16924016 lBF = `0.0976692` Chr`9` : `100,511,331`	0.000	1.000	0.000
rs16910061 lBF = `0.067114` Chr`9` : `97,314,741`	0.000	1.000	0.000
rs7031417 lBF = `0.023482` Chr`9` : `90,826,253`	0.000	1.000	0.000
rs141215807 lBF = `0.0193868` Chr`9` : `19,213,634`	0.000	1.000	0.000
rs13300284 lBF = `0.0100083` Chr`9` : `25,452,812`	0.000	1.000	0.000
rs669484 lBF = `-0.0102665` Chr`9` : `10,433,023`	0.000	1.000	0.000
rs16929097 lBF = `-0.0324599` Chr`9` : `12,521,826`	0.000	1.000	0.000
rs4400445 lBF = `-0.0537297` Chr`9` : `7,558,261`	0.000	1.000	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.000	1.000	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.000	1.000	0.000
rs512770 lBF = `8.25329` Chr`9` : `136,133,506`	0.000	1.000	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	1.000	0.000
rs1536895 lBF = `0.41227` Chr`9` : `106,793,726`	0.000	1.000	0.000
rs77922938 lBF = `0.314697` Chr`9` : `111,060,196`	0.000	1.000	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	1.000	0.000
rs11144781 lBF = `0.229588` Chr`9` : `78,793,421`	0.000	1.000	0.000
rs1324183 lBF = `0.14879` Chr`9` : `13,557,491`	0.000	1.000	0.000
rs10993625 lBF = `0.0844397` Chr`9` : `93,442,205`	0.000	1.000	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	1.000	0.000
rs113290458 lBF = `0.0418686` Chr`9` : `128,456,000`	0.000	1.000	0.000
rs649891 lBF = `0.0337293` Chr`9` : `10,430,602`	0.000	1.000	0.000
rs817826 lBF = `0.0306243` Chr`9` : `110,156,300`	0.000	1.000	0.000
rs7874142 lBF = `0.0135613` Chr`9` : `137,704,782`	0.000	1.000	0.000
rs10969106 lBF = `0.00960723` Chr`9` : `29,364,327`	0.000	1.000	0.000
rs10739221 lBF = `-0.0385021` Chr`9` : `109,060,830`	0.000	1.000	0.000
rs523340 lBF = `-0.046508` Chr`9` : `111,854,246`	0.000	1.000	0.000
rs16934284 lBF = `-0.0651474` Chr`9` : `119,839,328`	0.000	1.000	0.000
rs62556547 lBF = `41.6654` Chr`9` : `22,019,156`	0.000	1.000	0.000
rs10975479 lBF = `35.199` Chr`9` : `6,197,377`	0.000	1.000	0.000
rs686030 lBF = `17.631` Chr`9` : `15,304,782`	0.000	1.000	0.000
rs10965243 lBF = `6.81858` Chr`9` : `22,130,065`	0.000	1.000	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.000	1.000	0.000
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.000	1.000	0.000
rs10817758 lBF = `1.33282` Chr`9` : `118,143,933`	0.000	1.000	0.000
rs7852296 lBF = `1.12641` Chr`9` : `126,352,218`	0.000	1.000	0.000
rs4132699 lBF = `1.06078` Chr`9` : `92,036,427`	0.000	1.000	0.000
rs867559 lBF = `0.642133` Chr`9` : `129,465,325`	0.000	1.000	0.000
rs7867456 lBF = `0.199375` Chr`9` : `21,035,307`	0.000	1.000	0.000
rs2891316 lBF = `0.131552` Chr`9` : `28,587,994`	0.000	1.000	0.000
rs12342373 lBF = `0.0855483` Chr`9` : `129,402,567`	0.000	1.000	0.000
rs79156074 lBF = `0.076147` Chr`9` : `16,000,235`	0.000	1.000	0.000
rs2210327 lBF = `0.00985079` Chr`9` : `18,109,235`	0.000	1.000	0.000
rs148359873 lBF = `0.00976771` Chr`9` : `31,450,666`	0.000	1.000	0.000
rs10962181 lBF = `0.00482127` Chr`9` : `1,595,160`	0.000	1.000	0.000
rs643410 lBF = `0.00153414` Chr`9` : `111,799,563`	0.000	1.000	0.000
rs10989661 lBF = `-0.0175431` Chr`9` : `104,622,868`	0.000	1.000	0.000
rs7045881 lBF = `-0.026197` Chr`9` : `26,935,996`	0.000	1.000	0.000
rs11789898 lBF = `-0.0291362` Chr`9` : `136,925,663`	0.000	1.000	0.000
rs1360382 lBF = `-0.0298418` Chr`9` : `23,379,719`	0.000	1.000	0.000
rs13287980 lBF = `-0.0393366` Chr`9` : `107,324,200`	0.000	1.000	0.000
rs2007126 lBF = `-0.0611801` Chr`9` : `132,684,007`	0.000	1.000	0.000
rs7035284 lBF = `-0.0671117` Chr`9` : `21,678,973`	0.000	1.000	0.000
rs149951341 lBF = `-0.0694151` Chr`9` : `81,268,149`	0.000	1.000	0.000
rs4877691 lBF = `-0.0770265` Chr`9` : `84,982,398`	0.000	1.000	0.000
rs1342899 lBF = `-0.0953982` Chr`9` : `105,735,195`	0.000	1.000	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	1.000	0.000
rs61271866 lBF = `80.5256` Chr`9` : `21,997,015`	0.000	1.000	0.000
rs1075654 lBF = `23.1554` Chr`9` : `136,928,276`	0.000	1.000	0.000
rs76962799 lBF = `11.1339` Chr`9` : `6,187,132`	0.000	1.000	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.000	1.000	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.000	1.000	0.000
rs10974900 lBF = `5.18231` Chr`9` : `4,987,958`	0.000	1.000	0.000
rs3780181 lBF = `3.15919` Chr`9` : `2,640,759`	0.000	1.000	0.000
rs3842979 lBF = `3.15581` Chr`9` : `28,359,979`	0.000	1.000	0.000
rs4366152 lBF = `1.24374` Chr`9` : `117,564,875`	0.000	1.000	0.000
rs4263839 lBF = `1.24218` Chr`9` : `117,566,440`	0.000	1.000	0.000
rs1535454 lBF = `0.810124` Chr`9` : `5,410,723`	0.000	1.000	0.000
rs10988542 lBF = `0.542065` Chr`9` : `132,657,264`	0.000	1.000	0.000
rs12380424 lBF = `0.099035` Chr`9` : `131,403,221`	0.000	1.000	0.000
rs17060946 lBF = `0.036201` Chr`9` : `77,808,519`	0.000	1.000	0.000
rs71321217 lBF = `0.03113` Chr`9` : `10,036,568`	0.000	1.000	0.000
rs117347249 lBF = `0.0164813` Chr`9` : `81,368,654`	0.000	1.000	0.000
rs3802457 lBF = `0.0160534` Chr`9` : `97,741,336`	0.000	1.000	0.000
rs4879926 lBF = `0.0141498` Chr`9` : `35,700,837`	0.000	1.000	0.000
rs12350534 lBF = `-0.0110918` Chr`9` : `89,558,064`	0.000	1.000	0.000
rs767770 lBF = `-0.0116695` Chr`9` : `124,098,535`	0.000	1.000	0.000
rs57994353 lBF = `-0.0119348` Chr`9` : `139,356,987`	0.000	1.000	0.000
rs10958998 lBF = `-0.0155727` Chr`9` : `10,275,798`	0.000	1.000	0.000
rs10990268 lBF = `-0.0285931` Chr`9` : `105,502,498`	0.000	1.000	0.000
rs12344488 lBF = `-0.0338799` Chr`9` : `78,425,925`	0.000	1.000	0.000
rs10512049 lBF = `-0.0571178` Chr`9` : `78,276,675`	0.000	1.000	0.000
rs756777 lBF = `-0.0573363` Chr`9` : `136,679,080`	0.000	1.000	0.000
rs7021663 lBF = `-0.0602114` Chr`9` : `136,676,014`	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

0.0825

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`)