TreeWAS – [K23] Disorders of oesophagus in diseases classified elsewhere

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K23

Disorders of oesophagus in diseases classified elsewhere

Parent term	K20-K31 Diseases of oesophagus, stomach and duodenum
Nested terms	K23.0 Tuberculous oesophagitis K23.1 Megaoesophagus in Chagas' disease K23.8 Disorders of oesophagus in other diseases classified elsewhere

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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
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.717	0.283	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.717	0.283	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.716	0.284	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.715	0.285	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.715	0.285	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.715	0.285	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.714	0.285	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.714	0.286	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.706	0.294	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.703	0.297	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.697	0.302	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.660	0.340	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.639	0.361	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.637	0.363	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.634	0.366	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.588	0.412	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.577	0.422	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.478	0.522	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.443	0.557	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.409	0.591	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.388	0.612	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.380	0.620	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.332	0.668	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.326	0.673	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.315	0.685	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.289	0.711	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.286	0.714	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.273	0.727	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.262	0.738	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.240	0.760	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.228	0.772	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.224	0.776	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.222	0.777	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.207	0.793	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.187	0.813	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.186	0.814	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.184	0.816	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.170	0.829	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.158	0.842	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.138	0.862	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.131	0.869	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.117	0.883	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.116	0.884	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.113	0.887	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.112	0.888	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.100	0.900	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.098	0.902	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.098	0.902	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.098	0.902	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.078	0.922	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.078	0.922	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.075	0.924	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.069	0.931	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.066	0.934	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.065	0.935	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.058	0.942	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.050	0.950	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.045	0.955	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.045	0.955	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.041	0.958	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.038	0.962	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.038	0.962	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.035	0.965	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.033	0.967	0.000
rs62578126 lBF = `4.4764` Chr`9` : `129,375,338`	0.031	0.969	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.029	0.971	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.000	0.971	0.029
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.027	0.973	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.027	0.973	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.026	0.973	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.026	0.974	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.025	0.974	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.024	0.976	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.023	0.977	0.000
rs10760442 lBF = `5.00715` Chr`9` : `129,383,900`	0.023	0.977	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.022	0.977	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.022	0.977	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.021	0.979	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.020	0.979	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.020	0.980	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.019	0.981	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.019	0.981	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.017	0.983	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.017	0.983	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.016	0.984	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.015	0.985	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.015	0.985	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.014	0.986	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.014	0.986	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.013	0.987	0.000
rs12380424 lBF = `0.099035` Chr`9` : `131,403,221`	0.000	0.988	0.012
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.011	0.988	0.000
rs3829849 lBF = `3.6952` Chr`9` : `129,390,800`	0.011	0.989	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.011	0.989	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.011	0.989	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.010	0.990	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.010	0.990	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.003	0.991	0.007
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.009	0.991	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.008	0.991	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.008	0.992	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.007	0.992	0.001
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.007	0.992	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.007	0.992	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.007	0.993	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.007	0.993	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.006	0.994	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.006	0.994	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.006	0.994	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.006	0.994	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.006	0.994	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.005	0.994	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.005	0.994	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.005	0.994	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.000	0.995	0.005
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	0.995	0.005
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.005	0.995	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.004	0.995	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.004	0.996	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.001	0.996	0.004
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.004	0.996	0.000
rs291272 lBF = `0.0890106` Chr`9` : `10,043,014`	0.004	0.996	0.000
rs514659 lBF = `140.82` Chr`9` : `136,142,203`	0.000	0.996	0.004
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.003	0.996	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.003	0.996	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.003	0.997	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.003	0.997	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.003	0.997	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.003	0.997	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.003	0.997	0.000
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.003	0.997	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.003	0.997	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.003	0.997	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.003	0.997	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.002	0.997	0.000
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	0.998	0.002
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.002	0.998	0.000
rs687621 lBF = `157.152` Chr`9` : `136,137,065`	0.000	0.998	0.002
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.002	0.998	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.002	0.998	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.002	0.998	0.000
rs8176741 lBF = `13.4069` Chr`9` : `136,131,461`	0.000	0.998	0.002
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.002	0.998	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.000	0.998	0.002
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.998	0.000
rs12346945 lBF = `0.0003603` Chr`9` : `98,844,059`	0.001	0.998	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.001	0.998	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.000	0.998	0.001
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.998	0.000
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.998	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.001	0.998	0.000
rs61732491 lBF = `0.00003` Chr`9` : `131,186,783`	0.001	0.998	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.001	0.999	0.000
rs505922 lBF = `162.562` Chr`9` : `136,149,229`	0.000	0.999	0.001
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.001	0.999	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.001	0.999	0.000
rs12338076 lBF = `0.00017178` Chr`9` : `139,121,740`	0.001	0.999	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.001	0.999	0.000
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
rs10961577 lBF = `0.0718727` Chr`9` : `14,562,314`	0.000	0.999	0.001
rs76695314 lBF = `0.00021739` Chr`9` : `30,912,925`	0.001	0.999	0.000
rs114241027 lBF = `0.00030213` Chr`9` : `12,802,823`	0.001	0.999	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.001	0.999	0.000
rs60634637 lBF = `0.00003216` Chr`9` : `110,873,780`	0.001	0.999	0.000
rs17785420 lBF = `0.00018714` Chr`9` : `30,920,638`	0.001	0.999	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.001	0.999	0.000
rs11144781 lBF = `0.229588` Chr`9` : `78,793,421`	0.001	0.999	0.000
rs148861184 lBF = `0.00012183` Chr`9` : `30,975,637`	0.001	0.999	0.000
rs186132788 lBF = `0.00025167` Chr`9` : `79,082,712`	0.000	0.999	0.001
rs564816 lBF = `0.00012888` Chr`9` : `4,015,370`	0.001	0.999	0.000
rs145505122 lBF = `0.00005931` Chr`9` : `30,975,566`	0.001	0.999	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.000	0.999	0.001
rs138792676 lBF = `0.0000724` Chr`9` : `30,973,698`	0.001	0.999	0.000
rs143976741 lBF = `0.0000724` Chr`9` : `30,966,395`	0.001	0.999	0.000
rs138746541 lBF = `0.00004011` Chr`9` : `30,904,471`	0.001	0.999	0.000
rs189970609 lBF = `0.00004011` Chr`9` : `30,898,161`	0.001	0.999	0.000
rs139528199 lBF = `0.00004011` Chr`9` : `30,905,405`	0.001	0.999	0.000
rs139088314 lBF = `0.00004011` Chr`9` : `30,902,950`	0.001	0.999	0.000
rs149406381 lBF = `0.00003907` Chr`9` : `30,915,159`	0.001	0.999	0.000
rs147368481 lBF = `0.00003907` Chr`9` : `30,912,421`	0.001	0.999	0.000
rs145444918 lBF = `0.00003907` Chr`9` : `30,934,829`	0.001	0.999	0.000
rs149450639 lBF = `0.00003907` Chr`9` : `30,907,835`	0.001	0.999	0.000
rs17785414 lBF = `0.00003907` Chr`9` : `30,916,630`	0.001	0.999	0.000
rs80324951 lBF = `0.00003907` Chr`9` : `30,910,159`	0.001	0.999	0.000
rs138549889 lBF = `0.00003907` Chr`9` : `30,928,039`	0.001	0.999	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.000	0.999	0.001
rs75214736 lBF = `0.0000136` Chr`9` : `30,953,851`	0.001	0.999	0.000
rs184676284 lBF = `0.0000136` Chr`9` : `30,972,355`	0.001	0.999	0.000
rs151101851 lBF = `0.0000136` Chr`9` : `30,955,024`	0.001	0.999	0.000
rs184557780 lBF = `0.0000136` Chr`9` : `30,953,076`	0.001	0.999	0.000
rs141510725 lBF = `0.0000136` Chr`9` : `30,973,107`	0.001	0.999	0.000
rs74838144 lBF = `0.0000136` Chr`9` : `30,971,369`	0.001	0.999	0.000
rs151321188 lBF = `0.0000136` Chr`9` : `30,957,905`	0.001	0.999	0.000
rs10125337 lBF = `0.00010193` Chr`9` : `97,444,038`	0.001	0.999	0.000
rs16912725 lBF = `0.00005562` Chr`9` : `28,359,782`	0.001	0.999	0.001
rs115855507 lBF = `0.00004153` Chr`9` : `76,113,818`	0.001	0.999	0.000
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rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.000	1.000	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.000	1.000	0.000
Affx-33350288 lBF = `7.64136` Chr`9` : `136,350,150`	0.000	1.000	0.000
rs2501559 lBF = `6.41319` Chr`9` : `140,565,196`	0.000	1.000	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.000	1.000	0.000
rs2487032 lBF = `4.05395` Chr`9` : `107,703,934`	0.000	1.000	0.000
rs10814916 lBF = `1.50567` Chr`9` : `4,293,150`	0.000	1.000	0.000
rs17806457 lBF = `1.18049` Chr`9` : `112,891,635`	0.000	1.000	0.000
rs12000445 lBF = `0.912959` Chr`9` : `23,426,271`	0.000	1.000	0.000
rs3118867 lBF = `0.578601` Chr`9` : `90,261,695`	0.000	1.000	0.000
rs60589809 lBF = `0.550744` Chr`9` : `92,937,726`	0.000	1.000	0.000
rs2006996 lBF = `0.374558` Chr`9` : `117,592,638`	0.000	1.000	0.000
rs77922938 lBF = `0.314697` Chr`9` : `111,060,196`	0.000	1.000	0.000
rs28377268 lBF = `0.300067` Chr`9` : `98,225,056`	0.000	1.000	0.000
rs13295552 lBF = `0.233886` Chr`9` : `84,522,749`	0.000	1.000	0.000
rs16909898 lBF = `0.147538` Chr`9` : `98,231,008`	0.000	1.000	0.000
rs2472386 lBF = `0.104768` Chr`9` : `107,601,541`	0.000	1.000	0.000
rs36206051 lBF = `0.102509` Chr`9` : `90,207,626`	0.000	1.000	0.000
rs10858250 lBF = `0.0786668` Chr`9` : `139,119,215`	0.000	1.000	0.000
rs77362122 lBF = `0.0738843` Chr`9` : `87,380,673`	0.000	1.000	0.000
rs1332366 lBF = `0.068304` Chr`9` : `77,832,575`	0.000	1.000	0.000
rs9650682 lBF = `0.0434435` Chr`9` : `15,457,777`	0.000	1.000	0.000
rs10858396 lBF = `0.0428561` Chr`9` : `138,275,776`	0.000	1.000	0.000
rs3818638 lBF = `0.0405775` Chr`9` : `124,906,723`	0.000	1.000	0.000
rs13301469 lBF = `0.0342446` Chr`9` : `3,911,353`	0.000	1.000	0.000
rs294845 lBF = `0.0295763` Chr`9` : `10,139,580`	0.000	1.000	0.000
rs7866350 lBF = `0.0266558` Chr`9` : `100,983,826`	0.000	1.000	0.000
rs6478282 lBF = `0.0259314` Chr`9` : `119,925,095`	0.000	1.000	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.000	1.000	0.000
rs2210327 lBF = `0.00985079` Chr`9` : `18,109,235`	0.000	1.000	0.000
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.000	1.000	0.000
rs3861882 lBF = `-0.0015436` Chr`9` : `132,465,304`	0.000	1.000	0.000
rs10979182 lBF = `-0.00918733` Chr`9` : `110,817,020`	0.000	1.000	0.000
rs842304 lBF = `-0.0144229` Chr`9` : `7,682,601`	0.000	1.000	0.000
rs2515629 lBF = `-0.0149636` Chr`9` : `107,594,364`	0.000	1.000	0.000
rs4576506 lBF = `-0.0228237` Chr`9` : `31,546,472`	0.000	1.000	0.000
rs7027071 lBF = `-0.0325208` Chr`9` : `126,305,042`	0.000	1.000	0.000
rs334353 lBF = `-0.0332456` Chr`9` : `101,908,365`	0.000	1.000	0.000
rs11790388 lBF = `-0.0353163` Chr`9` : `129,740,283`	0.000	1.000	0.000
rs1771792 lBF = `-0.042262` Chr`9` : `125,221,224`	0.000	1.000	0.000
rs1927702 lBF = `-0.0491377` Chr`9` : `15,986,716`	0.000	1.000	0.000
rs10760187 lBF = `-0.053406` Chr`9` : `124,565,820`	0.000	1.000	0.000
rs1805313 lBF = `-0.0581064` Chr`9` : `116,151,191`	0.000	1.000	0.000
rs7870753 lBF = `-0.0581608` Chr`9` : `99,201,585`	0.000	1.000	0.000
rs489332 lBF = `-0.0662992` Chr`9` : `78,028,346`	0.000	1.000	0.000
rs10819861 lBF = `-0.0675875` Chr`9` : `98,867,813`	0.000	1.000	0.000
rs476155 lBF = `-0.0676434` Chr`9` : `3,940,759`	0.000	1.000	0.000
rs7849585 lBF = `-0.0720115` Chr`9` : `139,111,870`	0.000	1.000	0.000
rs10733682 lBF = `-0.0752751` Chr`9` : `129,460,914`	0.000	1.000	0.000
rs4877691 lBF = `-0.0770265` Chr`9` : `84,982,398`	0.000	1.000	0.000
rs12339094 lBF = `-0.0771213` Chr`9` : `90,410,222`	0.000	1.000	0.000
rs4879901 lBF = `-0.0799172` Chr`9` : `35,518,997`	0.000	1.000	0.000
rs11793049 lBF = `-0.0808728` Chr`9` : `116,773,869`	0.000	1.000	0.000
rs2839874 lBF = `-0.0886796` Chr`9` : `116,890,163`	0.000	1.000	0.000
rs10812641 lBF = `-0.0903935` Chr`9` : `2,777,384`	0.000	1.000	0.000
rs1342899 lBF = `-0.0953982` Chr`9` : `105,735,195`	0.000	1.000	0.000
rs2071520 lBF = `-0.0996788` Chr`9` : `117,880,792`	0.000	1.000	0.000
rs9792548 lBF = `-0.0997067` Chr`9` : `89,573,083`	0.000	1.000	0.000
rs4961511 lBF = `-0.106588` Chr`9` : `16,970,809`	0.000	1.000	0.000
rs4745062 lBF = `-0.11873` Chr`9` : `73,784,264`	0.000	1.000	0.000
rs1063192 lBF = `160.304` Chr`9` : `22,003,367`	0.000	1.000	0.000
rs615552 lBF = `132.45` Chr`9` : `22,026,077`	0.000	1.000	0.000
rs523096 lBF = `126.227` Chr`9` : `22,019,129`	0.000	1.000	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.000	1.000	0.000
rs2383208 lBF = `28.0247` Chr`9` : `22,132,076`	0.000	1.000	0.000
rs10965250 lBF = `27.0523` Chr`9` : `22,133,284`	0.000	1.000	0.000
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.000	1.000	0.000
rs1075654 lBF = `23.1554` Chr`9` : `136,928,276`	0.000	1.000	0.000
rs11244084 lBF = `22.0558` Chr`9` : `136,191,010`	0.000	1.000	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.000	1.000	0.000
rs12339666 lBF = `17.2427` Chr`9` : `5,063,296`	0.000	1.000	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.000	1.000	0.000
rs914605 lBF = `14.0956` Chr`9` : `20,742,963`	0.000	1.000	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.000	1.000	0.000
rs4246850 lBF = `12.9549` Chr`9` : `20,928,037`	0.000	1.000	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.000	1.000	0.000
rs78757963 lBF = `12.3274` Chr`9` : `6,282,511`	0.000	1.000	0.000
rs471364 lBF = `12.2964` Chr`9` : `15,289,578`	0.000	1.000	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.000	1.000	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.000	1.000	0.000
rs643531 lBF = `11.8826` Chr`9` : `15,296,034`	0.000	1.000	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.000	1.000	0.000
rs76962799 lBF = `11.1339` Chr`9` : `6,187,132`	0.000	1.000	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.000	1.000	0.000
rs340928 lBF = `9.63219` Chr`9` : `6,086,913`	0.000	1.000	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.000	1.000	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.000	1.000	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.000	1.000	0.000
rs41306063 lBF = `7.97243` Chr`9` : `6,415,643`	0.000	1.000	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.000	1.000	0.000
rs117134689 lBF = `7.85157` Chr`9` : `5,936,490`	0.000	1.000	0.000
rs7028759 lBF = `7.73393` Chr`9` : `100,677,883`	0.000	1.000	0.000
rs12378800 lBF = `7.72266` Chr`9` : `100,631,820`	0.000	1.000	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.000	1.000	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.000	1.000	0.000
rs7853989 lBF = `7.17616` Chr`9` : `136,131,592`	0.000	1.000	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.000	1.000	0.000
rs10965243 lBF = `6.81858` Chr`9` : `22,130,065`	0.000	1.000	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.7806

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.6146

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7169

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7169

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7169

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7169

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7169

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7167

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7167

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7164

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7164

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7160

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7156

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7153

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7144

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7127

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7123

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7109

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7035

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7017

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6799

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6557

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.6522

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6404

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6306

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6240

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6031

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5948

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5894

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5714

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5575

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5126

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4735

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3840

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3634

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3514

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3472

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3037

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2676

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2550

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2436

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2366

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2343

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2284

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2277

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2275

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1925

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1620

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1478

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1057

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0983

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0981

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0765

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0737

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0731

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0689

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0668

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0593

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0509

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`)