TreeWAS – [C17] Malignant neoplasm of small intestine

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

C17

Malignant neoplasm of small intestine

Parent term	C15-C26 Malignant neoplasms of digestive organs
Nested terms	C17.0 Duodenum C17.1 Jejunum C17.2 Ileum C17.3 Meckel's diverticulum C17.8 Overlapping lesion of small intestine C17.9 Small intestine, unspecified

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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
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.942	0.058	0.000
rs1063192 lBF = `160.304` Chr`9` : `22,003,367`	0.933	0.067	0.000
rs7865618 lBF = `166.125` Chr`9` : `22,031,005`	0.928	0.072	0.000
rs2157719 lBF = `171.627` Chr`9` : `22,033,366`	0.926	0.074	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.919	0.081	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.913	0.087	0.000
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.000	0.087	0.913
rs62556547 lBF = `41.6654` Chr`9` : `22,019,156`	0.912	0.088	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.901	0.099	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.899	0.101	0.000
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	0.892	0.108	0.000
rs2151280 lBF = `148.877` Chr`9` : `22,034,719`	0.000	0.108	0.892
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.883	0.117	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.883	0.117	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.882	0.118	0.000
rs17411949 lBF = `4.20269` Chr`3` : `140,099,693`	0.880	0.120	0.000
rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.872	0.128	0.000
rs10965215 lBF = `149.273` Chr`9` : `22,029,445`	0.000	0.128	0.872
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.870	0.130	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.869	0.131	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.869	0.131	0.000
rs77644898 lBF = `5.78522` Chr`1` : `234,899,258`	0.868	0.132	0.000
rs61901649 lBF = `7.32545` Chr`11` : `59,340,013`	0.866	0.134	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.862	0.138	0.000
rs12328732 lBF = `9.34731` Chr`2` : `54,724,992`	0.862	0.138	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.860	0.140	0.000
rs1158656 lBF = `5.87082` Chr`5` : `173,213,637`	0.858	0.142	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.857	0.143	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.854	0.146	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.852	0.148	0.000
rs11601321 lBF = `4.40566` Chr`11` : `125,193,596`	0.849	0.151	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.848	0.152	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.847	0.152	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.844	0.156	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.844	0.156	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.840	0.160	0.000
rs1633096 lBF = `97.5333` Chr`6` : `29,707,267`	0.840	0.160	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.838	0.162	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.836	0.164	0.000
rs12069336 lBF = `13.4724` Chr`1` : `162,129,334`	0.834	0.166	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.833	0.167	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.833	0.167	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.831	0.169	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.829	0.171	0.000
rs78442748 lBF = `5.95674` Chr`2` : `62,105,986`	0.829	0.171	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.829	0.171	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.828	0.172	0.000
rs17211510 lBF = `186.894` Chr`6` : `32,602,430`	0.000	0.174	0.826
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.826	0.174	0.000
rs564398 lBF = `152.203` Chr`9` : `22,029,547`	0.823	0.177	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.822	0.178	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.821	0.179	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.821	0.179	0.000
rs56308049 lBF = `5.33128` Chr`18` : `27,976,836`	0.818	0.182	0.000
rs2273565 lBF = `6.83534` Chr`6` : `27,222,974`	0.818	0.182	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.817	0.182	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.817	0.183	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.817	0.183	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.817	0.183	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.816	0.184	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.816	0.184	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.814	0.186	0.000
rs111834747 lBF = `248.946` Chr`6` : `32,492,866`	0.814	0.186	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.812	0.188	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.812	0.188	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.811	0.189	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.811	0.189	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.811	0.189	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.811	0.189	0.000
rs7874604 lBF = `150.563` Chr`9` : `22,054,690`	0.000	0.190	0.810
rs1474055 lBF = `2.74414` Chr`2` : `169,110,394`	0.810	0.190	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.810	0.190	0.000
rs77923412 lBF = `11.2716` Chr`3` : `101,886,745`	0.810	0.190	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.809	0.191	0.000
rs2102808 lBF = `2.65746` Chr`2` : `169,117,025`	0.809	0.191	0.000
rs9257182 lBF = `117.786` Chr`6` : `28,754,817`	0.808	0.192	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.807	0.193	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.807	0.193	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.807	0.193	0.000
rs35242582 lBF = `194.11` Chr`6` : `32,600,057`	0.000	0.193	0.807
rs1038903 lBF = `0.900745` Chr`4` : `28,752,054`	0.806	0.194	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.806	0.194	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.805	0.195	0.000
rs9468508 lBF = `23.4669` Chr`6` : `29,253,756`	0.804	0.196	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.804	0.196	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.804	0.196	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.804	0.196	0.000
rs3766823 lBF = `11.995` Chr`1` : `32,197,257`	0.803	0.197	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.803	0.197	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.802	0.198	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.802	0.198	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	0.802	0.198	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.801	0.199	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.801	0.199	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.801	0.199	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.801	0.199	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.801	0.199	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.800	0.199	0.000
rs5030965 lBF = `7.66452` Chr`6` : `27,216,699`	0.800	0.200	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.800	0.200	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.800	0.200	0.000
rs7946859 lBF = `7.10019` Chr`11` : `60,640,227`	0.000	0.201	0.799
rs7742654 lBF = `78.9886` Chr`6` : `32,271,443`	0.799	0.201	0.000
rs1412829 lBF = `154.353` Chr`9` : `22,043,926`	0.798	0.202	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.798	0.202	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.798	0.202	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.798	0.202	0.000
rs72948168 lBF = `6.34748` Chr`2` : `159,761,508`	0.798	0.202	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.797	0.203	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.796	0.204	0.000
rs116485796 lBF = `8.88422` Chr`3` : `133,612,103`	0.796	0.204	0.000
rs523096 lBF = `126.227` Chr`9` : `22,019,129`	0.796	0.204	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.796	0.204	0.000
rs28732201 lBF = `63.8841` Chr`6` : `32,350,454`	0.796	0.204	0.000
rs116394723 lBF = `5.07504` Chr`5` : `39,341,009`	0.796	0.204	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.795	0.205	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.795	0.205	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.795	0.205	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.795	0.205	0.000
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	0.000	0.205	0.795
rs57142672 lBF = `2.05332` Chr`1` : `17,744,536`	0.794	0.206	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.794	0.206	0.000
rs28895243 lBF = `68.4375` Chr`6` : `32,443,799`	0.794	0.206	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.794	0.206	0.000
rs28732236 lBF = `68.0491` Chr`6` : `32,430,976`	0.793	0.207	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.793	0.207	0.000
rs11758636 lBF = `6.63593` Chr`6` : `27,229,561`	0.793	0.207	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.792	0.208	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.792	0.208	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.792	0.208	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.792	0.208	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.792	0.208	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.790	0.210	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.790	0.210	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.790	0.210	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.789	0.211	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.789	0.211	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.789	0.211	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.789	0.211	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.789	0.211	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.788	0.212	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.788	0.212	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.787	0.213	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.787	0.213	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.787	0.213	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.786	0.214	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.786	0.214	0.000
rs2469887 lBF = `8.43759` Chr`11` : `60,704,213`	0.000	0.214	0.786
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.786	0.214	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.786	0.214	0.000
rs28732233 lBF = `67.2768` Chr`6` : `32,427,699`	0.785	0.214	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.785	0.215	0.000
rs3769823 lBF = `35.8804` Chr`2` : `202,122,995`	0.785	0.215	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.785	0.215	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.785	0.215	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.785	0.215	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.784	0.216	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.784	0.216	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.783	0.217	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.783	0.217	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.782	0.218	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.781	0.219	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.781	0.219	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.781	0.219	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.780	0.220	0.000
rs12180820 lBF = `81.2043` Chr`6` : `28,316,478`	0.780	0.220	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.779	0.221	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.779	0.221	0.000
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	0.779	0.221	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.779	0.221	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.778	0.222	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.778	0.222	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.778	0.222	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.778	0.222	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.776	0.224	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.776	0.224	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.775	0.225	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.774	0.226	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.773	0.227	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.773	0.227	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.773	0.227	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.773	0.227	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.772	0.228	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.772	0.228	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.772	0.228	0.000
rs6453218 lBF = `11.8766` Chr`5` : `75,712,103`	0.771	0.229	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.771	0.229	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.770	0.229	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.770	0.230	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.770	0.230	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.770	0.230	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.769	0.230	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.769	0.231	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.769	0.231	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.769	0.231	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.768	0.232	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.768	0.232	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.768	0.232	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.767	0.233	0.000
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rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.717	0.283	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.717	0.283	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.717	0.283	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.717	0.283	0.000
rs6909790 lBF = `83.6247` Chr`6` : `32,282,979`	0.717	0.283	0.000
rs76086850 lBF = `17.5203` Chr`6` : `152,508,097`	0.717	0.283	0.000
rs3129937 lBF = `115.647` Chr`6` : `32,336,364`	0.717	0.283	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.717	0.283	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.717	0.283	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.717	0.283	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.717	0.283	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.716	0.283	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.716	0.283	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.716	0.283	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.716	0.283	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.716	0.284	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.716	0.284	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.716	0.284	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.716	0.284	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.716	0.284	0.000
rs13211507 lBF = `197.103` Chr`6` : `28,257,377`	0.716	0.284	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.716	0.284	0.000
rs7545047 lBF = `5.30446` Chr`1` : `162,191,103`	0.716	0.284	0.000
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.716	0.284	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.716	0.284	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.716	0.284	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.716	0.284	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.716	0.284	0.000
rs443198 lBF = `204.432` Chr`6` : `32,190,406`	0.716	0.284	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.716	0.284	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.716	0.284	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.716	0.284	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.716	0.284	0.000
rs72960692 lBF = `13.056` Chr`1` : `43,467,276`	0.716	0.284	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.716	0.284	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.716	0.284	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.716	0.284	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.715	0.284	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.715	0.284	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.715	0.284	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.715	0.284	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.715	0.284	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.715	0.284	0.000
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.715	0.285	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.715	0.285	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.715	0.285	0.000
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	0.000	0.285	0.715
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.715	0.285	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.715	0.285	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.715	0.285	0.000
rs77885874 lBF = `3.45781` Chr`5` : `125,848,356`	0.715	0.285	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.715	0.285	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.715	0.285	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.715	0.285	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.715	0.285	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.715	0.285	0.000
rs9393929 lBF = `195.915` Chr`6` : `28,696,063`	0.715	0.285	0.000
rs9268167 lBF = `87.3034` Chr`6` : `32,272,437`	0.715	0.285	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.715	0.285	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.715	0.285	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.715	0.285	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.715	0.285	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.714	0.285	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.714	0.285	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.714	0.285	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.714	0.286	0.000
rs3129926 lBF = `114.929` Chr`6` : `32,333,480`	0.714	0.286	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.714	0.286	0.000
rs17665462 lBF = `11.2129` Chr`3` : `117,325,769`	0.714	0.286	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.714	0.286	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.714	0.286	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.714	0.286	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.714	0.286	0.000
rs3094072 lBF = `229.1` Chr`6` : `30,231,755`	0.713	0.286	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.713	0.287	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.713	0.287	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.713	0.287	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.713	0.287	0.000
rs67340775 lBF = `199.939` Chr`6` : `28,304,384`	0.713	0.287	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.713	0.287	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.713	0.287	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.713	0.287	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.713	0.287	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.713	0.287	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.713	0.287	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.713	0.287	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.713	0.287	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.713	0.287	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.713	0.287	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.713	0.287	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.713	0.287	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.713	0.287	0.000
rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	0.712	0.287	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.712	0.287	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.712	0.287	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.712	0.287	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.712	0.287	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.712	0.288	0.000
rs7634487 lBF = `11.5118` Chr`3` : `21,580,556`	0.712	0.288	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 X0027

log Bayes Factor = 25.8087

contains 2 variants

0.8309

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6873

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.3411

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3381

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.1937

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9998

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9998

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9997

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9997

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9995

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9992

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9988

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9988

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9987

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9980

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9979

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9959

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9948

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9931

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9922

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9913

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9901

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9887

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9842

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9840

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9836

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9804

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9795

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9774

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9751

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9748

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9731

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9727

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9722

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9629

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9622

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9600

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9596

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9572

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9566

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9555

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9553

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9512

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9482

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9458

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9401

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9351

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9327

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9325

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9315

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.9294

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9267

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9258

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9186

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9164

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9158

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9155

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9151

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9120

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9118

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9108

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9095

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9088

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9080

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8969

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8966

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8844

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8837

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8829

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8827

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8812

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8764

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8755

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8751

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8744

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8696

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8679

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8670

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8660

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8653

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8642

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8639

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8606

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8599

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8585

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8569

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8555

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8520

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8499

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8461

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8455

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8452

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8357

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8352

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8294

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8226

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8207

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8169

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8167

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8160

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.8142

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8099

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8085

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8079

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8053

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8037

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8029

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7955

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7947

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7943

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7902

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7875

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7871

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7864

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7814

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7732

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7655

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7636

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7498

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7246

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7169

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7168

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7167

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7166

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7166

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7165

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7162

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7159

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7153

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7147

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7132

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7117

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7101

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7080

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7074

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7052

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6972

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6878

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6829

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6773

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6762

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6727

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6575

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6468

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6350

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6299

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6233

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6045

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5958

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5874

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.5845

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5775

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5644

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5617

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5606

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5555

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5432

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5320

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5313

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5218

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5098

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5073

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5068

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5050

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4871

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4618

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4598

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4144

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4109

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4075

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3994

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3802

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.3635

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.3466

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3350

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2833

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2412

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2271

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2244

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1874

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1569

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1343

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.1287

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0664

Cluster X0252

log Bayes Factor = 170.729

contains 6 variants

0.0574

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0558

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0550

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0522

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`)