TreeWAS – [K12] Stomatitis and related lesions

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K12

Stomatitis and related lesions

Parent term	K00-K14 Diseases of oral cavity, salivary glands and jaws
Nested terms	K12.0 Recurrent oral aphthae K12.1 Other forms of stomatitis K12.2 Cellulitis and abscess of mouth K12.3 Oral mucositis (ulcerative)

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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
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.991	0.009	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.976	0.024	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.961	0.039	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.956	0.044	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.939	0.061	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.930	0.070	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.929	0.071	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.928	0.072	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.927	0.073	0.000
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.922	0.078	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.079	0.921
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.901	0.099	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.898	0.102	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.897	0.103	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.897	0.103	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.896	0.104	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.892	0.108	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.892	0.108	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.890	0.110	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.887	0.113	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.887	0.113	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.886	0.114	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.884	0.116	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.884	0.116	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.880	0.120	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.878	0.122	0.000
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.873	0.127	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.869	0.131	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.864	0.136	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.864	0.136	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.862	0.138	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.861	0.139	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.860	0.140	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.855	0.145	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.855	0.145	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.854	0.146	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.854	0.146	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.851	0.149	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.850	0.150	0.000
rs9310385 lBF = `12.836` Chr`3` : `11,611,146`	0.848	0.152	0.000
rs72944217 lBF = `9.75405` Chr`6` : `112,168,187`	0.846	0.154	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.846	0.154	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.846	0.154	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.846	0.154	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.845	0.155	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.844	0.156	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.844	0.156	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.844	0.156	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.843	0.157	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.840	0.160	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.839	0.161	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.839	0.161	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.838	0.162	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.838	0.162	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.836	0.164	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.836	0.164	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.835	0.165	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.835	0.165	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.835	0.165	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.833	0.167	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.832	0.168	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.832	0.168	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.832	0.168	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.832	0.168	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.831	0.169	0.000
rs2857708 lBF = `35.3833` Chr`6` : `31,533,606`	0.831	0.169	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.829	0.171	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.828	0.172	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.826	0.174	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.826	0.174	0.000
rs6922431 lBF = `22.0345` Chr`6` : `31,465,030`	0.000	0.174	0.826
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.824	0.176	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.824	0.176	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.821	0.179	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.820	0.180	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.819	0.181	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.818	0.181	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.818	0.182	0.000
rs1893217 lBF = `16.5233` Chr`18` : `12,809,340`	0.818	0.182	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.818	0.182	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.818	0.182	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.816	0.184	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.814	0.186	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.814	0.186	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.813	0.187	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.812	0.188	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.812	0.188	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.812	0.188	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.811	0.189	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.811	0.189	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.810	0.190	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.809	0.191	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.808	0.191	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.808	0.192	0.000
rs2542151 lBF = `13.7217` Chr`18` : `12,779,947`	0.808	0.192	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.807	0.193	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.806	0.194	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.806	0.194	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.805	0.195	0.000
rs116097603 lBF = `14.706` Chr`1` : `228,888,217`	0.803	0.197	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.802	0.198	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.802	0.198	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.801	0.199	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.801	0.199	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.800	0.200	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.798	0.202	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.797	0.203	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.797	0.203	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.797	0.203	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.796	0.204	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.796	0.204	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.796	0.204	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.794	0.206	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.793	0.207	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.793	0.207	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.793	0.207	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.791	0.209	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.791	0.209	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.791	0.209	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.791	0.209	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.790	0.210	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.790	0.210	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.788	0.212	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.788	0.212	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.788	0.212	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.786	0.214	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.785	0.215	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.784	0.216	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.783	0.217	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.783	0.217	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.781	0.219	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.780	0.220	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.778	0.222	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.776	0.224	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.776	0.224	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.776	0.224	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.776	0.224	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.775	0.225	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.774	0.226	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.773	0.227	0.000
rs7521578 lBF = `17.1428` Chr`1` : `158,736,201`	0.771	0.228	0.000
rs74122470 lBF = `16.4357` Chr`1` : `158,740,990`	0.771	0.229	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.771	0.229	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.770	0.229	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.770	0.230	0.000
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.770	0.230	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.770	0.230	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.768	0.232	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.767	0.233	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.767	0.233	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.766	0.234	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.765	0.235	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.765	0.235	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.764	0.236	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.764	0.236	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.764	0.236	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.763	0.237	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.763	0.237	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.763	0.237	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.763	0.237	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.763	0.237	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.763	0.237	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.762	0.238	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.761	0.239	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.761	0.239	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.761	0.239	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.760	0.240	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.760	0.240	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.760	0.240	0.000
rs2255798 lBF = `34.8832` Chr`6` : `31,521,302`	0.760	0.240	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.759	0.241	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.759	0.241	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.758	0.242	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.758	0.242	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.758	0.242	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.758	0.242	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.757	0.242	0.000
rs75239648 lBF = `14.3267` Chr`1` : `244,855,509`	0.757	0.242	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.757	0.243	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.757	0.243	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.757	0.243	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.756	0.244	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.756	0.244	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.756	0.244	0.000
rs115023769 lBF = `14.1062` Chr`3` : `153,241,084`	0.755	0.245	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.755	0.245	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.755	0.245	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.755	0.245	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.754	0.246	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.754	0.246	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.754	0.246	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.753	0.247	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.753	0.247	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.753	0.247	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.752	0.248	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.752	0.248	0.000
rs114341818 lBF = `20.4453` Chr`6` : `30,844,081`	0.751	0.248	0.000
rs79143957 lBF = `12.6617` Chr`3` : `23,125,989`	0.751	0.249	0.000
rs6933271 lBF = `20.7519` Chr`6` : `30,867,830`	0.750	0.250	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.750	0.250	0.000
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rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.739	0.261	0.000
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Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.730	0.270	0.000
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rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.723	0.277	0.000
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rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.688	0.312	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.688	0.312	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.688	0.312	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.687	0.313	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.687	0.313	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.687	0.313	0.000
rs2009658 lBF = `34.5004` Chr`6` : `31,538,244`	0.686	0.314	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.686	0.314	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.686	0.314	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.686	0.314	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.685	0.315	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.685	0.315	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.685	0.315	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.685	0.315	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.685	0.315	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.684	0.316	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.683	0.316	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.683	0.317	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.683	0.317	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.683	0.317	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.683	0.317	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.683	0.317	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.682	0.318	0.000
rs1602084 lBF = `1.34728` Chr`4` : `128,843,480`	0.682	0.318	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.681	0.319	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.681	0.319	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.680	0.320	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.680	0.320	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.680	0.320	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.680	0.320	0.000
rs77386029 lBF = `19.4286` Chr`6` : `24,998,665`	0.680	0.320	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.679	0.320	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.678	0.321	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.678	0.322	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.678	0.322	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.677	0.323	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.677	0.323	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.677	0.323	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.677	0.323	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.677	0.323	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.677	0.323	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.676	0.323	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.676	0.324	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.676	0.324	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.676	0.324	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.676	0.324	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.675	0.325	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.675	0.325	0.000
rs75621054 lBF = `15.8715` Chr`1` : `242,378,718`	0.675	0.325	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.675	0.325	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.674	0.326	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.674	0.326	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.674	0.326	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.674	0.326	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.673	0.326	0.000
rs2844482 lBF = `34.6959` Chr`6` : `31,539,767`	0.673	0.327	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.673	0.327	0.000
rs76574709 lBF = `17.264` Chr`1` : `12,743,326`	0.673	0.327	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.672	0.327	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.672	0.328	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.672	0.328	0.000
rs138325697 lBF = `2.99756` Chr`1` : `194,689,514`	0.671	0.329	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.671	0.329	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.671	0.329	0.000
rs185275068 lBF = `3.56551` Chr`1` : `239,607,289`	0.671	0.329	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.670	0.330	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.670	0.330	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.670	0.330	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.669	0.331	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.668	0.332	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.668	0.332	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.668	0.332	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.668	0.332	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.668	0.332	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.667	0.333	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.667	0.333	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.667	0.333	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.666	0.334	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.666	0.334	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.666	0.334	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.666	0.334	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.666	0.334	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.666	0.334	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.666	0.334	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.665	0.335	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.665	0.335	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.664	0.336	0.000
rs145433814 lBF = `4.12345` Chr`2` : `60,126,311`	0.664	0.336	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.664	0.336	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.664	0.336	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.663	0.337	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.663	0.337	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.663	0.337	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.663	0.337	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.662	0.337	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.662	0.338	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.662	0.338	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.662	0.338	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.662	0.338	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9999

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9999

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9998

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9998

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9992

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9988

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9985

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9985

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9981

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9980

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9980

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9980

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9976

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9975

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9972

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9970

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9962

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9955

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9939

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9932

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9930

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9929

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9924

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9922

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9916

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9912

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9908

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9907

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9894

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9883

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9873

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9868

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9865

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9861

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9851

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9834

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9829

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9827

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9816

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9807

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9802

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9788

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9784

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9744

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9730

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9720

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9714

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9710

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9686

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9656

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9634

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9633

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9583

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9560

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9559

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9556

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9527

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9526

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9521

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9503

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9485

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9432

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9359

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9355

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9350

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9330

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9304

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9256

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9242

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9232

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9211

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9187

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9171

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9152

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9102

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9100

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9060

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9037

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9023

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9018

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8933

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8924

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8865

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8805

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8754

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8737

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8728

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8562

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8551

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8429

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8340

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8220

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8186

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7944

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7933

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7922

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7904

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7689

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7657

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7489

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7405

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7405

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7259

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7155

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7118

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7075

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7069

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7038

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6931

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6844

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6721

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6635

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6242

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6242

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6176

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6137

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5435

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5425

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5048

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4972

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4969

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4867

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4795

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4427

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4277

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4172

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3516

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3250

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3079

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2767

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2636

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2351

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2308

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1926

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1805

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1673

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1575

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1234

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0873

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0799

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0642

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0622

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0550

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0529

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`)