TreeWAS – [E04] Other non-toxic goitre

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

E04

Other non-toxic goitre

Parent term	E00-E07 Disorders of thyroid gland
Nested terms	E04.0 Non-toxic diffuse goitre E04.1 Non-toxic single thyroid nodule E04.2 Non-toxic multinodular goitre E04.8 Other specified non-toxic goitre E04.9 Non-toxic goitre, 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
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.971	0.029	0.000
rs1948390 lBF = `10.3593` Chr`3` : `161,624,890`	0.907	0.093	0.000
rs9813389 lBF = `7.33298` Chr`3` : `131,837,290`	0.829	0.171	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.802	0.198	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.796	0.204	0.000
rs115684255 lBF = `12.9903` Chr`3` : `84,304,714`	0.774	0.226	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.763	0.237	0.000
rs17033506 lBF = `6.61563` Chr`3` : `35,639,826`	0.742	0.258	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.741	0.259	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.733	0.267	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.733	0.267	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.730	0.270	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.720	0.280	0.000
rs114239030 lBF = `16.2356` Chr`3` : `84,228,854`	0.710	0.290	0.000
rs77583790 lBF = `5.04409` Chr`3` : `159,694,053`	0.706	0.294	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.694	0.306	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.690	0.310	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.689	0.311	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.684	0.316	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.684	0.316	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.675	0.325	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.638	0.362	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.000	0.363	0.637
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.626	0.374	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.000	0.380	0.620
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.601	0.399	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.599	0.401	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.595	0.405	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.584	0.416	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.582	0.418	0.000
rs113934085 lBF = `13.4975` Chr`3` : `151,627,433`	0.580	0.420	0.000
rs79223353 lBF = `0.90905` Chr`3` : `123,139,863`	0.580	0.420	0.000
rs115020061 lBF = `13.9152` Chr`3` : `13,548,716`	0.577	0.423	0.000
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.574	0.426	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.571	0.429	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.567	0.433	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.566	0.434	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.563	0.437	0.000
rs6764132 lBF = `1.60069` Chr`3` : `39,788,891`	0.563	0.437	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.559	0.441	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.558	0.442	0.000
rs55968350 lBF = `15.4456` Chr`3` : `126,904,733`	0.557	0.443	0.000
rs78857545 lBF = `9.68973` Chr`3` : `150,863,573`	0.553	0.447	0.000
rs116660070 lBF = `17.3726` Chr`3` : `19,939,758`	0.545	0.454	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.540	0.460	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.535	0.465	0.000
rs74427637 lBF = `7.16635` Chr`3` : `792,827`	0.532	0.468	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.529	0.471	0.000
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.528	0.472	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.522	0.477	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.507	0.493	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.507	0.493	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.498	0.502	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.496	0.504	0.000
rs147786325 lBF = `1.81622` Chr`3` : `70,725,902`	0.495	0.505	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.478	0.522	0.000
rs73023170 lBF = `12.1533` Chr`3` : `11,630,099`	0.467	0.533	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.461	0.539	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.459	0.541	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.458	0.542	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.457	0.543	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.456	0.544	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.455	0.545	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.454	0.546	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.445	0.555	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.443	0.556	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.441	0.559	0.000
rs62262721 lBF = `9.29228` Chr`3` : `49,768,927`	0.436	0.564	0.000
rs12632235 lBF = `6.76759` Chr`3` : `100,536,284`	0.433	0.567	0.000
rs73137637 lBF = `6.05154` Chr`3` : `85,006,865`	0.431	0.569	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.431	0.569	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.428	0.572	0.000
rs28582745 lBF = `2.00824` Chr`3` : `169,459,325`	0.424	0.575	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.424	0.576	0.000
rs79019069 lBF = `4.63997` Chr`3` : `148,481,023`	0.422	0.578	0.000
rs4685943 lBF = `1.3179` Chr`3` : `5,535,277`	0.422	0.578	0.000
rs62262682 lBF = `6.14122` Chr`3` : `49,722,761`	0.421	0.579	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.411	0.589	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.407	0.593	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.407	0.593	0.000
rs147686985 lBF = `6.61696` Chr`3` : `166,728,917`	0.405	0.595	0.000
rs73130739 lBF = `7.84824` Chr`3` : `85,287,296`	0.405	0.595	0.000
rs7634487 lBF = `11.5118` Chr`3` : `21,580,556`	0.397	0.603	0.000
rs138869894 lBF = `0.628894` Chr`3` : `158,844,941`	0.393	0.607	0.000
rs112458845 lBF = `1.1883` Chr`3` : `138,675,741`	0.391	0.608	0.000
rs143244591 lBF = `0.893723` Chr`3` : `149,013,935`	0.391	0.609	0.000
rs73125111 lBF = `7.02008` Chr`3` : `85,110,971`	0.391	0.609	0.000
rs62263033 lBF = `4.70416` Chr`3` : `48,370,424`	0.390	0.610	0.000
rs116155186 lBF = `6.15229` Chr`3` : `85,368,819`	0.388	0.611	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.367	0.633	0.000
rs114946066 lBF = `5.04818` Chr`3` : `185,653,097`	0.365	0.635	0.000
rs185934952 lBF = `1.00439` Chr`3` : `6,811,321`	0.365	0.635	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.365	0.635	0.000
rs17791975 lBF = `7.13706` Chr`3` : `85,118,035`	0.364	0.636	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.362	0.638	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.360	0.640	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.360	0.640	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.358	0.642	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.356	0.644	0.000
rs9846232 lBF = `0.991521` Chr`3` : `13,743,132`	0.345	0.655	0.000
rs73134752 lBF = `11.2492` Chr`3` : `85,437,738`	0.343	0.657	0.001
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.342	0.658	0.000
rs73138705 lBF = `14.0343` Chr`3` : `85,470,361`	0.341	0.658	0.000
rs73050577 lBF = `29.1953` Chr`3` : `23,853,409`	0.341	0.659	0.000
rs74765593 lBF = `18.3408` Chr`3` : `182,339,787`	0.341	0.659	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.340	0.660	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.333	0.667	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.332	0.668	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.331	0.669	0.000
rs75430906 lBF = `0.726655` Chr`3` : `20,717,929`	0.329	0.671	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.328	0.672	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.326	0.674	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.324	0.676	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.324	0.676	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.320	0.680	0.000
rs74703823 lBF = `12.1497` Chr`3` : `3,162,708`	0.318	0.682	0.000
rs79349737 lBF = `15.1686` Chr`3` : `190,888,250`	0.316	0.684	0.000
rs73176713 lBF = `14.4642` Chr`3` : `174,685,918`	0.313	0.687	0.000
rs17665462 lBF = `11.2129` Chr`3` : `117,325,769`	0.313	0.687	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.305	0.694	0.001
rs145669774 lBF = `5.67804` Chr`3` : `185,545,502`	0.302	0.698	0.000
rs71323034 lBF = `16.6347` Chr`3` : `31,072,353`	0.300	0.700	0.000
rs115860471 lBF = `16.459` Chr`3` : `4,063,676`	0.299	0.701	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.297	0.703	0.000
Affx-21291542 lBF = `12.1623` Chr`3` : `141,344,672`	0.296	0.704	0.000
rs10511052 lBF = `1.92327` Chr`3` : `76,725,903`	0.293	0.707	0.000
rs114679905 lBF = `9.02093` Chr`3` : `135,418,841`	0.292	0.707	0.000
rs1374910 lBF = `3.98113` Chr`3` : `185,531,661`	0.292	0.708	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.291	0.709	0.000
rs72955118 lBF = `14.2942` Chr`3` : `71,869,056`	0.290	0.710	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.286	0.713	0.001
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.286	0.714	0.000
rs2290161 lBF = `15.2998` Chr`3` : `12,633,168`	0.285	0.715	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.283	0.717	0.000
rs114101798 lBF = `17.9738` Chr`3` : `135,286,950`	0.279	0.721	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.275	0.725	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.271	0.728	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.270	0.730	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.270	0.730	0.000
rs118068306 lBF = `14.8013` Chr`3` : `14,273,131`	0.268	0.732	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.266	0.733	0.000
rs190500289 lBF = `0.587391` Chr`3` : `133,430,895`	0.253	0.746	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.250	0.750	0.000
rs188135659 lBF = `15.5868` Chr`3` : `19,839,062`	0.249	0.750	0.001
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.246	0.753	0.001
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.246	0.754	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.245	0.755	0.000
rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.243	0.757	0.000
rs9310385 lBF = `12.836` Chr`3` : `11,611,146`	0.242	0.758	0.000
rs149049329 lBF = `6.27065` Chr`3` : `187,597,927`	0.238	0.762	0.000
rs78691034 lBF = `9.15803` Chr`3` : `47,911,121`	0.237	0.763	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.236	0.764	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.235	0.764	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.233	0.766	0.001
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.232	0.768	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.231	0.769	0.000
rs61129840 lBF = `17.9422` Chr`3` : `16,363,529`	0.229	0.770	0.000
rs17023661 lBF = `2.09285` Chr`3` : `86,968,509`	0.229	0.771	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.224	0.776	0.000
rs62243877 lBF = `8.18156` Chr`3` : `62,175,417`	0.222	0.777	0.000
rs12492992 lBF = `6.38992` Chr`3` : `196,883,562`	0.222	0.778	0.000
rs76010824 lBF = `0.505777` Chr`3` : `67,442,642`	0.220	0.780	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.218	0.781	0.000
rs112364629 lBF = `0.268743` Chr`3` : `39,992,223`	0.215	0.785	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.214	0.786	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.213	0.787	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.210	0.789	0.000
rs77923412 lBF = `11.2716` Chr`3` : `101,886,745`	0.207	0.793	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.206	0.793	0.000
rs17411949 lBF = `4.20269` Chr`3` : `140,099,693`	0.204	0.796	0.000
rs116367285 lBF = `12.3707` Chr`3` : `65,094,139`	0.201	0.798	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.199	0.801	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.197	0.803	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.194	0.805	0.000
rs181319480 lBF = `9.5655` Chr`3` : `58,793,057`	0.191	0.809	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.191	0.809	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.188	0.812	0.000
rs114097330 lBF = `13.9687` Chr`3` : `34,717,222`	0.188	0.812	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.186	0.814	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.184	0.816	0.000
rs62295986 lBF = `9.09224` Chr`3` : `169,354,710`	0.181	0.819	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.180	0.819	0.000
rs140130327 lBF = `0.732391` Chr`3` : `191,341,579`	0.180	0.820	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.175	0.824	0.000
rs112996116 lBF = `5.48142` Chr`3` : `132,260,187`	0.174	0.826	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.172	0.828	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.170	0.830	0.000
rs17036170 lBF = `4.42318` Chr`3` : `12,330,411`	0.169	0.830	0.001
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.169	0.831	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.168	0.832	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.166	0.833	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.164	0.836	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.161	0.839	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.161	0.839	0.000
rs4502542 lBF = `0.221376` Chr`3` : `59,921,020`	0.000	0.840	0.160
rs189757960 lBF = `0.187248` Chr`3` : `100,590,355`	0.158	0.842	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.157	0.842	0.000
rs41291189 lBF = `5.43607` Chr`3` : `69,074,878`	0.157	0.843	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.156	0.844	0.000
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rs7612463 lBF = `0.575196` Chr`3` : `23,336,450`	0.000	0.996	0.004
rs9825379 lBF = `0.205077` Chr`3` : `141,137,035`	0.004	0.996	0.000
rs345013 lBF = `-0.0123088` Chr`3` : `145,173,788`	0.000	0.996	0.004
rs71326918 lBF = `0.0642128` Chr`3` : `50,174,844`	0.000	0.996	0.004
rs112448655 lBF = `0.123616` Chr`3` : `139,811,629`	0.004	0.996	0.000
rs10049467 lBF = `0.0173753` Chr`3` : `197,075,743`	0.004	0.996	0.000
rs11924390 lBF = `-0.0446099` Chr`3` : `186,433,099`	0.004	0.996	0.000
rs6772209 lBF = `0.00420861` Chr`3` : `175,647,165`	0.004	0.996	0.000
rs17787940 lBF = `0.0520211` Chr`3` : `149,250,589`	0.000	0.996	0.004
rs13067650 lBF = `3.65004` Chr`3` : `127,889,542`	0.000	0.996	0.004
rs11706455 lBF = `3.64652` Chr`3` : `127,891,991`	0.000	0.996	0.004
rs11715394 lBF = `3.69608` Chr`3` : `127,893,564`	0.000	0.996	0.004
rs6794092 lBF = `0.0653983` Chr`3` : `171,558,344`	0.003	0.996	0.000
rs2999077 lBF = `3.3547` Chr`3` : `127,958,414`	0.004	0.996	0.000
rs2955077 lBF = `3.32726` Chr`3` : `127,958,869`	0.004	0.996	0.000
rs2999080 lBF = `3.32726` Chr`3` : `127,956,708`	0.004	0.996	0.000
rs2955078 lBF = `3.32726` Chr`3` : `127,959,186`	0.004	0.996	0.000
rs2955085 lBF = `3.32726` Chr`3` : `127,962,757`	0.004	0.996	0.000
rs2955081 lBF = `3.32726` Chr`3` : `127,960,299`	0.004	0.996	0.000
rs2955088 lBF = `3.23676` Chr`3` : `127,963,710`	0.004	0.996	0.000
rs2999083 lBF = `3.23676` Chr`3` : `127,954,434`	0.004	0.996	0.000
rs7429990 lBF = `0.0601282` Chr`3` : `47,901,803`	0.004	0.996	0.000
rs2955130 lBF = `3.33658` Chr`3` : `127,937,814`	0.004	0.996	0.000
rs2999089 lBF = `3.31102` Chr`3` : `127,935,159`	0.004	0.996	0.000
rs2955126 lBF = `3.34895` Chr`3` : `127,926,254`	0.004	0.996	0.000
rs2955129 lBF = `3.34529` Chr`3` : `127,929,207`	0.004	0.996	0.000
rs9820695 lBF = `0.0945188` Chr`3` : `103,331,483`	0.000	0.996	0.004
rs480409 lBF = `-0.0621722` Chr`3` : `7,010,081`	0.000	0.996	0.004
rs11927381 lBF = `22.5657` Chr`3` : `185,508,591`	0.004	0.996	0.000
rs2955083 lBF = `3.44886` Chr`3` : `127,961,178`	0.003	0.997	0.000
rs10934850 lBF = `3.66976` Chr`3` : `127,886,957`	0.000	0.997	0.003
rs34409786 lBF = `3.61396` Chr`3` : `127,888,175`	0.000	0.997	0.003
rs6767047 lBF = `0.00338094` Chr`3` : `134,609,876`	0.003	0.997	0.000
rs2811486 lBF = `3.43347` Chr`3` : `127,920,075`	0.000	0.997	0.003
rs2811511 lBF = `3.34124` Chr`3` : `127,912,988`	0.000	0.997	0.003
rs2687730 lBF = `3.34124` Chr`3` : `127,915,457`	0.000	0.997	0.003
rs1799852 lBF = `-0.0221909` Chr`3` : `133,475,722`	0.000	0.997	0.003
rs2999090 lBF = `3.37448` Chr`3` : `127,931,340`	0.003	0.997	0.000
rs17282209 lBF = `2.81398` Chr`3` : `127,715,196`	0.000	0.997	0.003
rs181840477 lBF = `0.00314987` Chr`3` : `152,493,489`	0.003	0.997	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.003	0.997	0.000
rs16829840 lBF = `0.0632695` Chr`3` : `119,147,958`	0.000	0.997	0.003
rs34709844 lBF = `3.14638` Chr`3` : `127,818,869`	0.000	0.997	0.003
rs6787614 lBF = `3.14638` Chr`3` : `127,817,478`	0.000	0.997	0.003
rs34228187 lBF = `3.14638` Chr`3` : `127,816,433`	0.000	0.997	0.003
rs11720239 lBF = `3.14638` Chr`3` : `127,817,955`	0.000	0.997	0.003
rs34562493 lBF = `3.14638` Chr`3` : `127,817,022`	0.000	0.997	0.003
rs36059338 lBF = `3.13652` Chr`3` : `127,815,927`	0.000	0.997	0.003
rs11715661 lBF = `3.13475` Chr`3` : `127,820,846`	0.000	0.997	0.003
rs147463808 lBF = `0.00495185` Chr`3` : `5,720,984`	0.003	0.997	0.000
rs35804055 lBF = `3.19688` Chr`3` : `127,826,579`	0.000	0.997	0.003
rs34403909 lBF = `3.16042` Chr`3` : `127,810,445`	0.000	0.997	0.003
rs13060453 lBF = `3.16042` Chr`3` : `127,810,738`	0.000	0.997	0.003
rs35724792 lBF = `3.16042` Chr`3` : `127,809,616`	0.000	0.997	0.003
rs13091198 lBF = `3.16013` Chr`3` : `127,812,037`	0.000	0.997	0.003
rs36069551 lBF = `3.16013` Chr`3` : `127,814,077`	0.000	0.997	0.003
rs55684215 lBF = `3.16013` Chr`3` : `127,812,792`	0.000	0.997	0.003
rs11714052 lBF = `3.14971` Chr`3` : `127,814,457`	0.000	0.997	0.003
rs35421223 lBF = `3.17023` Chr`3` : `127,829,879`	0.000	0.997	0.003
rs66987356 lBF = `3.17012` Chr`3` : `127,841,098`	0.000	0.997	0.003
rs34545799 lBF = `3.16678` Chr`3` : `127,837,508`	0.000	0.997	0.003
rs67940364 lBF = `3.16678` Chr`3` : `127,833,353`	0.000	0.997	0.003
rs34955225 lBF = `3.16678` Chr`3` : `127,825,078`	0.000	0.997	0.003
rs11719079 lBF = `3.16678` Chr`3` : `127,824,049`	0.000	0.997	0.003
rs6785535 lBF = `3.16678` Chr`3` : `127,834,695`	0.000	0.997	0.003
rs35437840 lBF = `3.16678` Chr`3` : `127,825,306`	0.000	0.997	0.003
rs35947214 lBF = `3.16678` Chr`3` : `127,833,231`	0.000	0.997	0.003
rs67674204 lBF = `3.16678` Chr`3` : `127,824,778`	0.000	0.997	0.003
rs138573550 lBF = `3.16678` Chr`3` : `127,840,025`	0.000	0.997	0.003
rs112434347 lBF = `3.16667` Chr`3` : `127,840,447`	0.000	0.997	0.003
rs34172752 lBF = `3.16667` Chr`3` : `127,841,744`	0.000	0.997	0.003
rs35531186 lBF = `3.16667` Chr`3` : `127,841,060`	0.000	0.997	0.003
rs35515217 lBF = `3.16357` Chr`3` : `127,813,811`	0.000	0.997	0.003
rs13062252 lBF = `3.16268` Chr`3` : `127,828,631`	0.000	0.997	0.003
rs33998546 lBF = `3.16268` Chr`3` : `127,831,038`	0.000	0.997	0.003
rs60387553 lBF = `3.16268` Chr`3` : `127,828,968`	0.000	0.997	0.003
rs11707462 lBF = `3.16268` Chr`3` : `127,838,630`	0.000	0.997	0.003
rs55777628 lBF = `3.16268` Chr`3` : `127,822,021`	0.000	0.997	0.003
rs60464856 lBF = `3.16257` Chr`3` : `127,842,220`	0.000	0.997	0.003
rs6784159 lBF = `3.16257` Chr`3` : `127,843,378`	0.000	0.997	0.003
rs2811381 lBF = `3.58357` Chr`3` : `127,997,912`	0.003	0.997	0.000
rs35347185 lBF = `3.18337` Chr`3` : `127,854,527`	0.000	0.997	0.003
rs11714619 lBF = `3.17993` Chr`3` : `127,850,076`	0.000	0.997	0.003
rs13059975 lBF = `3.17993` Chr`3` : `127,849,684`	0.000	0.997	0.003
rs6788497 lBF = `3.17993` Chr`3` : `127,848,388`	0.000	0.997	0.003
rs6783253 lBF = `3.17993` Chr`3` : `127,851,561`	0.000	0.997	0.003
rs34174370 lBF = `3.17993` Chr`3` : `127,849,744`	0.000	0.997	0.003
rs6439116 lBF = `3.17993` Chr`3` : `127,849,067`	0.000	0.997	0.003
rs13095660 lBF = `3.17993` Chr`3` : `127,848,156`	0.000	0.997	0.003
rs11709725 lBF = `3.17934` Chr`3` : `127,857,933`	0.000	0.997	0.003
rs6797834 lBF = `3.17934` Chr`3` : `127,856,400`	0.000	0.997	0.003
rs56050323 lBF = `3.17648` Chr`3` : `127,847,298`	0.000	0.997	0.003
rs35145572 lBF = `3.17648` Chr`3` : `127,847,418`	0.000	0.997	0.003
rs11177 lBF = `1.8711` Chr`3` : `52,721,305`	0.000	0.997	0.003
rs6765233 lBF = `3.59361` Chr`3` : `128,002,850`	0.003	0.997	0.000
rs2811387 lBF = `3.59624` Chr`3` : `128,015,178`	0.003	0.997	0.000
rs2811536 lBF = `3.49101` Chr`3` : `127,988,919`	0.003	0.997	0.000
rs2955098 lBF = `3.3996` Chr`3` : `127,979,501`	0.003	0.997	0.000
rs2811400 lBF = `3.488` Chr`3` : `127,987,867`	0.003	0.997	0.000
rs2811414 lBF = `3.52691` Chr`3` : `127,991,177`	0.003	0.997	0.000
rs2811528 lBF = `3.51436` Chr`3` : `127,994,436`	0.003	0.997	0.000
rs2955096 lBF = `3.40703` Chr`3` : `127,977,866`	0.003	0.997	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 X0108

log Bayes Factor = 155.083

contains 8 variants

0.9985

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6748

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.1181

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0910

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

1.0000

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9947

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9721

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9706

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9534

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9442

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9425

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9419

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9322

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9177

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9157

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9074

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9005

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8824

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8774

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7857

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7632

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7458

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7436

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7432

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7231

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6879

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6803

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6692

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6613

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6599

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6588

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6549

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6367

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6260

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6246

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6202

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5901

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5893

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5700

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5629

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5455

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5391

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5288

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5223

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5129

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5114

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4715

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4182

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4134

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4005

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3991

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3912

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3850

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3716

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3692

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3680

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3624

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3481

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3466

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3275

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3272

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3193

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3085

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2992

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2975

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2901

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2901

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2657

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2488

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2426

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2397

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2394

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2386

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2331

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2253

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2249

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2196

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2180

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2068

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2014

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1986

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1883

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1843

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1841

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1834

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1810

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1791

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1746

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1721

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1672

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1655

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1611

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1557

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1551

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1526

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1516

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1496

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1469

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1461

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1389

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1346

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1333

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1327

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1322

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1299

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1207

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1174

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1141

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1098

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1097

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1055

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1044

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1031

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1024

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1004

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0995

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0992

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0969

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0949

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0943

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0927

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0913

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0874

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0858

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0851

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0848

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0846

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0838

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0801

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0788

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0757

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0750

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0730

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0729

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0719

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0708

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0694

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0682

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0661

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0641

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0617

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0615

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0608

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0595

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0594

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0594

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0592

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.0571

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0544

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0522

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0520

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0511

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`)