TreeWAS – [I05] Rheumatic mitral valve diseases

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I05

Rheumatic mitral valve diseases

Parent term	I05-I09 Chronic rheumatic heart diseases
Nested terms	I05.0 Mitral stenosis I05.1 Rheumatic mitral insufficiency I05.2 Mitral stenosis with insufficiency I05.8 Other mitral valve diseases I05.9 Mitral valve disease, 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
rs79215950 lBF = `8.20907` Chr`7` : `35,277,067`	0.000	0.016	0.984
rs2215614 lBF = `7.56312` Chr`7` : `35,277,093`	0.000	0.032	0.968
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.968	0.032	0.000
rs73099187 lBF = `9.66779` Chr`7` : `35,291,491`	0.000	0.033	0.967
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.967	0.033	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.962	0.038	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.956	0.044	0.000
rs13141190 lBF = `36.6768` Chr`4` : `111,728,614`	0.955	0.045	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.942	0.058	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.940	0.060	0.000
rs10490871 lBF = `6.36422` Chr`3` : `35,667,761`	0.936	0.064	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.929	0.071	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.926	0.074	0.000
rs2200733 lBF = `66.0925` Chr`4` : `111,710,169`	0.920	0.080	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.918	0.082	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.917	0.083	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.916	0.084	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.915	0.085	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.913	0.087	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.912	0.088	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.912	0.088	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.911	0.089	0.000
rs6817105 lBF = `64.6903` Chr`4` : `111,705,768`	0.910	0.090	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.907	0.093	0.000
rs75021220 lBF = `47.1082` Chr`4` : `111,658,394`	0.905	0.095	0.000
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.903	0.097	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.903	0.097	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.900	0.100	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.900	0.100	0.000
rs17042081 lBF = `59.9223` Chr`4` : `111,653,211`	0.900	0.100	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.899	0.101	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.893	0.107	0.000
rs9637932 lBF = `5.60237` Chr`5` : `178,403,949`	0.892	0.108	0.000
rs113173951 lBF = `6.15041` Chr`1` : `27,877,418`	0.000	0.110	0.890
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.889	0.111	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.888	0.112	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.885	0.115	0.000
rs17162040 lBF = `6.74453` Chr`1` : `27,883,227`	0.000	0.115	0.885
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.882	0.118	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.882	0.118	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.880	0.120	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.880	0.120	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.873	0.127	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.871	0.129	0.000
rs11066301 lBF = `73.3256` Chr`12` : `112,871,372`	0.871	0.129	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.868	0.132	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.867	0.133	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.866	0.134	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.866	0.134	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.866	0.134	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.866	0.134	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.865	0.135	0.000
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.865	0.135	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.862	0.138	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.859	0.141	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.857	0.143	0.000
rs56158183 lBF = `4.44665` Chr`2` : `60,632,924`	0.000	0.143	0.857
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.856	0.144	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.854	0.146	0.000
rs4845953 lBF = `14.7832` Chr`1` : `10,801,989`	0.854	0.146	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.853	0.147	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.848	0.152	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.847	0.153	0.000
rs1024065 lBF = `10.3744` Chr`1` : `222,761,601`	0.000	0.153	0.847
rs11964561 lBF = `3.6893` Chr`6` : `8,169,800`	0.846	0.154	0.000
rs76412020 lBF = `5.96467` Chr`6` : `34,149,938`	0.845	0.155	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.845	0.155	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.844	0.156	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.840	0.160	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.840	0.160	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.839	0.161	0.000
rs17696736 lBF = `77.5307` Chr`12` : `112,486,818`	0.837	0.163	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.835	0.165	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.833	0.167	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	0.167	0.833
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.832	0.168	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.831	0.169	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.830	0.170	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.830	0.170	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.829	0.171	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.829	0.171	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.829	0.171	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.829	0.171	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.827	0.173	0.000
rs9313772 lBF = `18.9638` Chr`5` : `157,804,457`	0.000	0.174	0.826
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.825	0.175	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.824	0.176	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.824	0.176	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.824	0.176	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.822	0.178	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.822	0.178	0.000
rs112556867 lBF = `13.232` Chr`6` : `92,572,325`	0.821	0.179	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.820	0.180	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.819	0.180	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.819	0.181	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.818	0.182	0.000
Affx-21291542 lBF = `12.1623` Chr`3` : `141,344,672`	0.817	0.183	0.000
rs3002141 lBF = `11.4412` Chr`1` : `222,787,302`	0.000	0.183	0.816
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.816	0.184	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.816	0.184	0.000
rs80123541 lBF = `17.2266` Chr`6` : `110,354,662`	0.816	0.184	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.816	0.184	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.816	0.184	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.815	0.185	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.814	0.186	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.813	0.187	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.812	0.188	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.812	0.188	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.812	0.188	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.811	0.189	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.811	0.189	0.000
rs17630235 lBF = `80.0182` Chr`12` : `112,591,686`	0.811	0.189	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.811	0.189	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.811	0.189	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.810	0.190	0.000
rs4766897 lBF = `64.6713` Chr`12` : `112,179,471`	0.809	0.191	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.808	0.192	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.808	0.192	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.807	0.193	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.807	0.193	0.000
rs11244084 lBF = `22.0558` Chr`9` : `136,191,010`	0.807	0.193	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.807	0.193	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.804	0.196	0.000
rs17032011 lBF = `40.5088` Chr`1` : `114,475,350`	0.803	0.197	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.803	0.197	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.803	0.197	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.801	0.199	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.800	0.200	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.799	0.201	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.798	0.202	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.797	0.203	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.797	0.203	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.796	0.204	0.000
rs514659 lBF = `140.82` Chr`9` : `136,142,203`	0.796	0.204	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.796	0.204	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.795	0.205	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.794	0.206	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.793	0.207	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.793	0.207	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.792	0.208	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.792	0.208	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.792	0.208	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.791	0.209	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.791	0.209	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.789	0.210	0.000
rs2844520 lBF = `24.6949` Chr`6` : `31,407,758`	0.000	0.212	0.788
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.788	0.212	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.787	0.213	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.787	0.213	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.786	0.214	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.786	0.214	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.786	0.214	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.786	0.214	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.786	0.214	0.000
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.000	0.215	0.785
rs11205277 lBF = `2.49265` Chr`1` : `149,892,872`	0.785	0.215	0.000
rs4374681 lBF = `5.49218` Chr`4` : `1,566,164`	0.785	0.215	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.784	0.216	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.784	0.216	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.784	0.216	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.783	0.217	0.000
rs11102516 lBF = `10.1081` Chr`1` : `113,161,350`	0.783	0.217	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.782	0.218	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.782	0.218	0.000
rs2936052 lBF = `14.2487` Chr`1` : `222,802,376`	0.000	0.218	0.782
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.782	0.218	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.782	0.218	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.781	0.219	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.781	0.219	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.780	0.220	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.780	0.220	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.779	0.221	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.778	0.222	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.778	0.222	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.778	0.222	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.777	0.223	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.776	0.224	0.000
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.000	0.224	0.776
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.774	0.226	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.773	0.227	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.772	0.227	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.772	0.227	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.772	0.228	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.772	0.228	0.000
rs6457617 lBF = `192.394` Chr`6` : `32,663,851`	0.771	0.229	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.771	0.229	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.771	0.229	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.770	0.230	0.000
rs2936051 lBF = `12.3071` Chr`1` : `222,803,204`	0.000	0.230	0.770
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.768	0.232	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.768	0.232	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.768	0.232	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.768	0.232	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.767	0.233	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.767	0.233	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.765	0.234	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.765	0.235	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.765	0.235	0.000
rs10514718 lBF = `1.82647` Chr`3` : `61,413,814`	0.765	0.235	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.765	0.235	0.000
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rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.703	0.297	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.703	0.297	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.702	0.298	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.701	0.299	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.701	0.299	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.701	0.299	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.701	0.299	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.701	0.299	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.701	0.299	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.700	0.299	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.700	0.300	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.700	0.300	0.000
rs12209307 lBF = `5.28684` Chr`6` : `95,418,039`	0.700	0.300	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.700	0.300	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.700	0.300	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.700	0.300	0.000
rs10044242 lBF = `7.21462` Chr`5` : `148,706,299`	0.700	0.300	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.700	0.300	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.700	0.300	0.000
rs2394251 lBF = `47.8031` Chr`6` : `29,943,688`	0.700	0.300	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.699	0.300	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.699	0.301	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.699	0.301	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.699	0.301	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.698	0.302	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.698	0.302	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.698	0.302	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.698	0.302	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.697	0.303	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.697	0.303	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.697	0.303	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.696	0.304	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.696	0.304	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.696	0.304	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.696	0.304	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.696	0.304	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.695	0.305	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.695	0.305	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.695	0.305	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.695	0.305	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.695	0.305	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.695	0.305	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.695	0.305	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.694	0.306	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.694	0.306	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.693	0.306	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.693	0.306	0.000
rs9320598 lBF = `0.930012` Chr`6` : `98,019,080`	0.693	0.307	0.000
rs629001 lBF = `14.3666` Chr`1` : `109,838,918`	0.000	0.307	0.693
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.693	0.307	0.000
rs10774625 lBF = `134.733` Chr`12` : `111,910,219`	0.693	0.307	0.000
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.692	0.308	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.692	0.308	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.691	0.309	0.000
rs17665462 lBF = `11.2129` Chr`3` : `117,325,769`	0.691	0.309	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.691	0.309	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.690	0.309	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.690	0.310	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.690	0.310	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.690	0.310	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.689	0.311	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.689	0.311	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.689	0.311	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.689	0.311	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.689	0.311	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.688	0.311	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.688	0.312	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.688	0.312	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.688	0.312	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.688	0.312	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.688	0.312	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.688	0.312	0.000
rs8176719 lBF = `148.272` Chr`9` : `136,132,908`	0.688	0.312	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.688	0.312	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.687	0.313	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.687	0.313	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.687	0.313	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.687	0.313	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.687	0.313	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.687	0.313	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.687	0.313	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.686	0.314	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.686	0.314	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.686	0.314	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.685	0.314	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.685	0.315	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.685	0.315	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.685	0.315	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.685	0.315	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.685	0.315	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.685	0.315	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.685	0.315	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.685	0.315	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.684	0.315	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.684	0.316	0.000
rs55927656 lBF = `6.59531` Chr`1` : `72,392,635`	0.684	0.316	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.684	0.316	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.684	0.316	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.684	0.316	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 X0112

log Bayes Factor = 98.8923

contains 7 variants

0.9980

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4044

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2041

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0760

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9999

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9999

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9998

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9995

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9995

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9993

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9989

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9986

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9981

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9979

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9978

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9977

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9977

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9977

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9975

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9966

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9964

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9954

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9926

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9925

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9908

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9902

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9893

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9893

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9892

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9888

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9884

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9879

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9867

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9849

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9836

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9809

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9795

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9772

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9766

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9753

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9745

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9724

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9717

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9708

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9707

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9704

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9682

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9669

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9653

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9628

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9624

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9603

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9597

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9590

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9589

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9578

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9569

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9565

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9563

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9545

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9514

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9507

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9507

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9458

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9448

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9431

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9431

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9409

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9368

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9358

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9342

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9333

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9331

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9320

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9274

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9270

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9250

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9241

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9241

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9228

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9217

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9161

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9156

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9149

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9120

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9093

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9083

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9082

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9042

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9035

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9003

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8968

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8957

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8918

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8916

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8873

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8859

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8848

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.8848

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8844

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8807

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8805

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.8775

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8748

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8744

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8737

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8668

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8636

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8620

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8618

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8544

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8512

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8507

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8500

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8493

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8431

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8361

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8360

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8293

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8289

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.8257

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8186

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8184

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.8088

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7945

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7935

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7901

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7799

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7733

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7720

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7709

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7625

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.7622

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7620

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7620

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7610

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7601

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.7540

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7529

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7487

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7461

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7324

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7298

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7200

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7142

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7134

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7101

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7012

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6987

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6966

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6944

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6885

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6881

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6825

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6766

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6670

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6641

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6627

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6577

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6471

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6311

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6132

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5884

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5785

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5777

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5749

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5698

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5563

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5538

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5186

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5066

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5046

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4993

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4987

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4804

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4795

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4762

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4702

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4549

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4383

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4350

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4321

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4318

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4173

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4154

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4112

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4098

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.3966

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3845

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3763

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.3632

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3604

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3492

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3104

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2624

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2421

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2363

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1743

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1687

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1440

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1376

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0864

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0667

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0593

Cluster X0127

log Bayes Factor = 276.004

contains 14 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`)