TreeWAS – [D33] Benign neoplasm of brain and other parts of central nervous system

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

D33

Benign neoplasm of brain and other parts of central nervous system

Parent term	D10-D36 Benign neoplasms
Nested terms	D33.0 Brain, supratentorial D33.1 Brain, infratentorial D33.2 Brain, unspecified D33.3 Cranial nerves D33.4 Spinal cord D33.7 Other specified parts of central nervous system D33.9 Central nervous system, 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
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.980	0.020	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.978	0.022	0.000
Affx-4168886 lBF = `6.07706` Chr`11` : `108,345,515`	0.949	0.051	0.000
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.000	0.074	0.926
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.924	0.076	0.000
rs2853676 lBF = `19.1781` Chr`5` : `1,288,547`	0.914	0.086	0.000
rs76485124 lBF = `10.1523` Chr`5` : `56,060,400`	0.912	0.088	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.907	0.093	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.903	0.097	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.903	0.097	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.893	0.107	0.000
rs78686102 lBF = `9.9163` Chr`5` : `56,152,795`	0.890	0.110	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.888	0.112	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.884	0.116	0.000
rs7726354 lBF = `16.6785` Chr`5` : `56,256,483`	0.883	0.117	0.000
rs3822625 lBF = `12.3692` Chr`5` : `56,178,111`	0.873	0.127	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.872	0.128	0.000
rs16886448 lBF = `12.3207` Chr`5` : `56,170,813`	0.870	0.130	0.000
rs1017226 lBF = `12.4091` Chr`5` : `56,153,392`	0.868	0.132	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.866	0.134	0.000
rs2229882 lBF = `21.8948` Chr`5` : `56,168,712`	0.865	0.135	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.864	0.136	0.000
rs16886397 lBF = `12.2035` Chr`5` : `56,134,276`	0.864	0.136	0.000
rs16886364 lBF = `12.9739` Chr`5` : `56,122,344`	0.862	0.138	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.856	0.144	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.852	0.148	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.850	0.150	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.849	0.151	0.000
rs10890839 lBF = `6.35047` Chr`11` : `108,306,236`	0.849	0.151	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.848	0.151	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.848	0.152	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.847	0.153	0.000
rs12655019 lBF = `5.66192` Chr`5` : `56,195,790`	0.847	0.153	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.845	0.155	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.845	0.155	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.844	0.156	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.843	0.157	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.839	0.161	0.000
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	0.162	0.838
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.838	0.162	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.837	0.163	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.834	0.166	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.830	0.170	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.826	0.174	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.824	0.176	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.820	0.180	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.818	0.182	0.000
rs2280543 lBF = `7.77563` Chr`11` : `203,788`	0.000	0.183	0.817
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.816	0.184	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.816	0.184	0.000
rs1800057 lBF = `17.8656` Chr`11` : `108,143,456`	0.814	0.186	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.813	0.187	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.813	0.187	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.809	0.191	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.808	0.191	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.807	0.193	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.806	0.194	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.806	0.194	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.805	0.195	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.804	0.196	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.802	0.198	0.000
Affx-31406520 lBF = `9.74408` Chr`8` : `117,783,975`	0.800	0.200	0.000
rs7545047 lBF = `5.30446` Chr`1` : `162,191,103`	0.800	0.200	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.799	0.201	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.799	0.201	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.798	0.201	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.795	0.205	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.795	0.205	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.794	0.206	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.794	0.206	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.792	0.207	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.791	0.208	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.791	0.209	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.791	0.209	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.790	0.210	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.788	0.212	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.787	0.213	0.000
rs3827760 lBF = `5.71339` Chr`2` : `109,513,601`	0.787	0.213	0.000
rs7828067 lBF = `8.85726` Chr`8` : `117,796,195`	0.785	0.215	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.784	0.216	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.784	0.216	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.783	0.217	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.782	0.218	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.777	0.223	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.776	0.224	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.776	0.224	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.776	0.224	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.773	0.227	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.770	0.229	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.769	0.231	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.769	0.231	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.768	0.232	0.000
rs17246404 lBF = `1.39279` Chr`7` : `124,462,661`	0.000	0.235	0.765
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.764	0.236	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.760	0.240	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.760	0.240	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.760	0.240	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.760	0.240	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.760	0.240	0.000
rs72709458 lBF = `44.6062` Chr`5` : `1,283,755`	0.759	0.241	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.758	0.242	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.758	0.242	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.757	0.243	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.754	0.246	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.754	0.246	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.753	0.246	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.753	0.247	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.753	0.247	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.753	0.247	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.753	0.247	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.752	0.248	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.751	0.249	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.751	0.249	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.750	0.249	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.750	0.250	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.749	0.251	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.748	0.252	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.747	0.253	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.744	0.255	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.744	0.255	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.744	0.256	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.743	0.257	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.743	0.257	0.000
rs16886113 lBF = `13.5424` Chr`5` : `55,995,035`	0.743	0.257	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.742	0.258	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.741	0.259	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.741	0.259	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.741	0.259	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.740	0.260	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.740	0.260	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.740	0.260	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.740	0.260	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.740	0.260	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.738	0.261	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.738	0.261	0.000
rs727505 lBF = `1.29474` Chr`7` : `124,462,081`	0.000	0.262	0.738
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.738	0.262	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.737	0.263	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.737	0.263	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.737	0.263	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.737	0.263	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.736	0.263	0.000
rs61129840 lBF = `17.9422` Chr`3` : `16,363,529`	0.736	0.264	0.000
rs2242652 lBF = `35.8732` Chr`5` : `1,280,028`	0.734	0.266	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.734	0.266	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.733	0.267	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.733	0.267	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.732	0.268	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.731	0.269	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.730	0.270	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.730	0.270	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.730	0.270	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.729	0.271	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.729	0.271	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.729	0.271	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.729	0.271	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.728	0.271	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.728	0.271	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.728	0.272	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.725	0.275	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.724	0.275	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.724	0.276	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.723	0.277	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.723	0.277	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.723	0.277	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.722	0.278	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.722	0.278	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.722	0.278	0.000
rs116146467 lBF = `8.72874` Chr`6` : `169,558,013`	0.721	0.279	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.721	0.279	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.721	0.279	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.721	0.279	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.721	0.279	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.720	0.279	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.720	0.280	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.719	0.281	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.719	0.281	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.717	0.283	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.717	0.283	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.717	0.283	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.717	0.283	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.717	0.283	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.716	0.283	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.716	0.283	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.716	0.284	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.716	0.284	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.716	0.284	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.716	0.284	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.716	0.284	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.716	0.284	0.000
rs114249449 lBF = `15.308` Chr`1` : `39,257,678`	0.716	0.284	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.715	0.285	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.715	0.285	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.715	0.285	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.715	0.285	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.715	0.285	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.715	0.285	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.715	0.285	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.715	0.285	0.000
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rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.668	0.332	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.668	0.332	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.668	0.332	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.667	0.332	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.667	0.333	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.667	0.333	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.666	0.334	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.666	0.334	0.000
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.666	0.334	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.666	0.334	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.666	0.334	0.000
rs76570619 lBF = `1.1837` Chr`1` : `113,246,730`	0.665	0.335	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.665	0.335	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.665	0.335	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.665	0.335	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.664	0.335	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.664	0.336	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.664	0.336	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.664	0.336	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.663	0.337	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.662	0.338	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.662	0.338	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.662	0.338	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.662	0.338	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.661	0.339	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.661	0.339	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.661	0.339	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.661	0.339	0.000
rs186507655 lBF = `20.9052` Chr`1` : `1,287,055`	0.661	0.339	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.660	0.339	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.660	0.340	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.660	0.340	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.660	0.340	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.660	0.340	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.659	0.340	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.659	0.341	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.659	0.341	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.658	0.341	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.658	0.341	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.658	0.341	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.658	0.342	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.658	0.342	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.658	0.342	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.658	0.342	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.657	0.343	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.657	0.343	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.656	0.344	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.656	0.344	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.656	0.344	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.656	0.344	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.655	0.344	0.000
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.654	0.346	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.654	0.346	0.000
rs139961185 lBF = `5.63342` Chr`11` : `116,807,343`	0.653	0.347	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.653	0.347	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.653	0.347	0.000
rs116065238 lBF = `1.13019` Chr`1` : `171,451,422`	0.652	0.348	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.652	0.348	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.652	0.348	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.652	0.348	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.652	0.348	0.000
rs1317082 lBF = `18.6518` Chr`3` : `169,497,585`	0.000	0.348	0.652
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.652	0.348	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.652	0.348	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.651	0.349	0.000
rs10936599 lBF = `19.9134` Chr`3` : `169,492,101`	0.000	0.350	0.650
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.650	0.350	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.650	0.350	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.650	0.350	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.650	0.350	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.650	0.350	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.649	0.350	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.649	0.350	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.649	0.350	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.649	0.351	0.000
rs114685215 lBF = `1.06238` Chr`1` : `113,068,722`	0.649	0.351	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.649	0.351	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.649	0.351	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.649	0.351	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.649	0.351	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.648	0.352	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.648	0.352	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.648	0.352	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.648	0.352	0.000
rs2823752 lBF = `12.8636` Chr`21` : `17,717,125`	0.648	0.352	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.647	0.353	0.000
rs4754317 lBF = `11.7391` Chr`11` : `108,359,161`	0.000	0.353	0.647
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.646	0.354	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.646	0.354	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.646	0.354	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.646	0.354	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.646	0.354	0.000
rs181424343 lBF = `5.27138` Chr`1` : `218,594,484`	0.645	0.354	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.645	0.355	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.645	0.355	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.645	0.355	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.645	0.355	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.645	0.355	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.645	0.355	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.5567

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1553

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9971

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9936

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9838

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9830

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9678

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9646

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9572

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.9527

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9486

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9465

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9407

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9385

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9370

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9362

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9342

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9287

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9126

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9075

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8948

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8914

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8905

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8897

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8874

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8790

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8769

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8769

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8769

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8734

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8723

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8654

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8596

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8539

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8483

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8449

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8437

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8397

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8369

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8361

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8181

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7991

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7977

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7896

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7741

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7707

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7692

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7566

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7519

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7513

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7476

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7457

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7421

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7368

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7310

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7107

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7071

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7062

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7003

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6944

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6928

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6927

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6799

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6794

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6785

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6780

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6740

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6677

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6652

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6612

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6604

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6505

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6413

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6410

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6383

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6144

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6129

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6093

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.6091

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6044

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6034

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6026

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5906

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5897

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5879

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5847

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5801

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5764

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5751

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5698

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5650

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5566

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5400

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5341

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5338

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5311

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5197

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5138

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4987

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4983

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4967

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4845

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4828

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4723

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4665

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4661

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4627

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4597

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4589

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4534

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4477

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4428

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4414

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4402

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4328

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4208

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4169

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4014

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3994

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3907

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3798

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3757

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3742

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3673

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3267

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3153

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2994

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2810

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2467

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2438

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2252

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2095

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2060

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1954

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1953

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1680

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1483

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1364

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1325

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0988

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0897

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0897

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0822

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0799

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0781

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0780

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0656

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0626

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0572

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0554

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0537

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`)