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
rs57582212 lBF = `5.11979` Chr`10` : `6,079,035`	0.995	0.005	0.000
rs11598494 lBF = `8.70863` Chr`10` : `6,178,941`	0.000	0.024	0.976
rs706779 lBF = `18.2692` Chr`10` : `6,098,824`	0.000	0.035	0.965
rs7090530 lBF = `13.9535` Chr`10` : `6,110,875`	0.000	0.092	0.908
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.904	0.096	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.880	0.120	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.873	0.127	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.853	0.147	0.000
rs7090512 lBF = `3.16431` Chr`10` : `6,110,829`	0.830	0.170	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.812	0.188	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.786	0.214	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.774	0.226	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.768	0.232	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.760	0.240	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.751	0.249	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.744	0.256	0.000
rs3118470 lBF = `14.8132` Chr`10` : `6,101,713`	0.734	0.266	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.704	0.296	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.704	0.296	0.000
rs12722556 lBF = `0.799539` Chr`10` : `6,070,539`	0.668	0.332	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.663	0.337	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.658	0.342	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.654	0.346	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.647	0.353	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.640	0.360	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.612	0.388	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.610	0.390	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.606	0.394	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.601	0.398	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.597	0.403	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.573	0.427	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.573	0.427	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.558	0.442	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.554	0.446	0.000
rs147596965 lBF = `4.05083` Chr`10` : `10,116,874`	0.551	0.449	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.542	0.458	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.530	0.470	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.523	0.477	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.523	0.477	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.505	0.495	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.504	0.496	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.503	0.497	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.500	0.500	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.499	0.501	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.493	0.507	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.492	0.508	0.000
rs706778 lBF = `17.4563` Chr`10` : `6,098,949`	0.492	0.508	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.480	0.520	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.472	0.528	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.466	0.534	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.464	0.536	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.451	0.549	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.442	0.558	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.439	0.561	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.437	0.563	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.434	0.566	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.434	0.566	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.429	0.571	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.421	0.579	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.421	0.579	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.415	0.585	0.000
rs12722495 lBF = `2.89266` Chr`10` : `6,097,283`	0.000	0.587	0.413
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.405	0.595	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.401	0.599	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.390	0.609	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.390	0.609	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.390	0.610	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.390	0.610	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.383	0.617	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.380	0.620	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.376	0.624	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.373	0.627	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.369	0.631	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.366	0.634	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.360	0.640	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.357	0.642	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.355	0.645	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.354	0.646	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.350	0.649	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.350	0.650	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.349	0.651	0.000
rs10905716 lBF = `0.420621` Chr`10` : `6,114,010`	0.000	0.651	0.349
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.347	0.653	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.344	0.656	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.343	0.657	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.342	0.658	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.341	0.659	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.327	0.672	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.323	0.677	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.680	0.320
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.312	0.688	0.000
rs947474 lBF = `1.84287` Chr`10` : `6,390,450`	0.310	0.690	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.306	0.694	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.305	0.695	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.302	0.698	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.302	0.698	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.296	0.704	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.296	0.704	0.000
rs71508903 lBF = `11.3778` Chr`10` : `63,779,871`	0.295	0.705	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.293	0.706	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.291	0.709	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.290	0.710	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.286	0.714	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.285	0.715	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.282	0.717	0.001
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.281	0.718	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.278	0.721	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.275	0.725	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.275	0.725	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.267	0.733	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.266	0.734	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.263	0.736	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.254	0.746	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.253	0.747	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.253	0.747	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.253	0.747	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.252	0.748	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.243	0.756	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.242	0.758	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.241	0.759	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.238	0.762	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.237	0.763	0.000
rs61839660 lBF = `2.01175` Chr`10` : `6,094,697`	0.000	0.763	0.237
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.236	0.764	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.235	0.765	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.234	0.766	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.233	0.767	0.000
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.233	0.767	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.230	0.770	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.228	0.772	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.228	0.772	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.225	0.775	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.224	0.776	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.222	0.778	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.221	0.778	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.216	0.784	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.215	0.785	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.212	0.788	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.206	0.794	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.205	0.795	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.199	0.801	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.197	0.803	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.195	0.804	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.194	0.806	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.192	0.808	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.182	0.818	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.182	0.818	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.182	0.818	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.178	0.822	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.176	0.824	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.175	0.825	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.169	0.831	0.000
rs80312298 lBF = `0.33808` Chr`10` : `131,481,273`	0.167	0.833	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.166	0.833	0.001
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.166	0.834	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.165	0.835	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.161	0.839	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.158	0.841	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.157	0.843	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.155	0.845	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.155	0.845	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.151	0.849	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.149	0.851	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.147	0.852	0.001
rs494207 lBF = `27.0929` Chr`10` : `44,741,256`	0.000	0.853	0.147
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.144	0.856	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.143	0.856	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.141	0.858	0.001
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.142	0.858	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.141	0.858	0.000
rs680091 lBF = `28.1368` Chr`10` : `44,738,932`	0.000	0.859	0.141
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.139	0.861	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.132	0.867	0.001
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.131	0.869	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.129	0.871	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.129	0.871	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.129	0.871	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.127	0.872	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.126	0.873	0.001
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.126	0.874	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.125	0.875	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.124	0.875	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.123	0.877	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.122	0.878	0.000
rs117850870 lBF = `0.254485` Chr`10` : `50,523,748`	0.120	0.880	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.119	0.881	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.117	0.883	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.116	0.884	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.109	0.891	0.000
rs2624681 lBF = `25.5143` Chr`10` : `44,677,301`	0.000	0.891	0.109
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.104	0.896	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.102	0.897	0.001
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.101	0.899	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.099	0.901	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.098	0.902	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.097	0.903	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.096	0.903	0.001
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.096	0.904	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.094	0.906	0.000
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rs3135753 lBF = `0.0103539` Chr`10` : `123,280,658`	0.001	0.999	0.000
rs384627 lBF = `0.0004008` Chr`10` : `119,336,746`	0.001	0.999	0.000
rs7075195 lBF = `0.0971664` Chr`10` : `65,050,659`	0.000	0.999	0.001
rs4748185 lBF = `0.00118185` Chr`10` : `15,654,887`	0.001	0.999	0.001
rs9420790 lBF = `-0.00003385` Chr`10` : `102,256,197`	0.001	0.999	0.000
rs1746048 lBF = `14.2974` Chr`10` : `44,775,824`	0.000	0.999	0.001
rs4506565 lBF = `145.603` Chr`10` : `114,756,041`	0.001	0.999	0.000
rs7896518 lBF = `0.170345` Chr`10` : `65,104,500`	0.000	0.999	0.001
rs59824868 lBF = `-0.0182982` Chr`10` : `95,477,350`	0.001	0.999	0.000
rs113793030 lBF = `0.0882916` Chr`10` : `72,046,860`	0.001	0.999	0.000
rs10906233 lBF = `0.0196802` Chr`10` : `12,875,208`	0.001	0.999	0.000
rs9663362 lBF = `0.319215` Chr`10` : `95,895,177`	0.001	0.999	0.000
rs10826334 lBF = `-0.0192554` Chr`10` : `61,380,482`	0.001	0.999	0.000
rs10761731 lBF = `0.152737` Chr`10` : `65,027,610`	0.000	0.999	0.001
rs146091982 lBF = `0.00023091` Chr`10` : `95,659,958`	0.001	0.999	0.000
rs78084308 lBF = `9.59773` Chr`10` : `8,984,955`	0.000	0.999	0.001
rs7094310 lBF = `0.0891915` Chr`10` : `6,791,034`	0.000	0.999	0.001
rs35766269 lBF = `0.0588944` Chr`10` : `9,023,815`	0.001	0.999	0.000
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.001	0.999	0.000
rs1900004 lBF = `-0.0452064` Chr`10` : `70,000,881`	0.000	0.999	0.001
rs7476422 lBF = `-0.113678` Chr`10` : `56,204,291`	0.001	0.999	0.000
rs1561570 lBF = `-0.133466` Chr`10` : `13,155,726`	0.001	0.999	0.000
rs2484992 lBF = `0.0114568` Chr`10` : `31,512,098`	0.001	0.999	0.000
rs61458523 lBF = `0.00046382` Chr`10` : `60,668,571`	0.000	0.999	0.001
rs2165953 lBF = `-0.0585411` Chr`10` : `4,716,542`	0.001	0.999	0.000
rs4608000 lBF = `0.0297793` Chr`10` : `109,510,095`	0.000	0.999	0.001
rs7916697 lBF = `-0.0650501` Chr`10` : `69,991,853`	0.001	0.999	0.000
rs10994613 lBF = `0.0125815` Chr`10` : `62,780,127`	0.001	0.999	0.000
rs3750716 lBF = `0.00008779` Chr`10` : `101,816,863`	0.001	0.999	0.000
rs76409888 lBF = `0.00006188` Chr`10` : `73,723,956`	0.001	0.999	0.000
rs7895372 lBF = `0.00002095` Chr`10` : `15,719,621`	0.001	0.999	0.000
rs2393967 lBF = `-0.0403757` Chr`10` : `65,133,156`	0.000	0.999	0.001
rs143362648 lBF = `0.00007062` Chr`10` : `21,694,219`	0.000	0.999	0.001
rs190045766 lBF = `0` Chr`10` : `120,643,886`	0.001	0.999	0.001
rs182554582 lBF = `0` Chr`10` : `88,194,959`	0.001	0.999	0.001
rs182344828 lBF = `0` Chr`10` : `54,593,326`	0.001	0.999	0.001
rs77040403 lBF = `0` Chr`10` : `71,640,838`	0.001	0.999	0.001
rs185636671 lBF = `0` Chr`10` : `135,172,794`	0.001	0.999	0.001
rs10796051 lBF = `0` Chr`10` : `13,310,071`	0.001	0.999	0.001
rs143988467 lBF = `0` Chr`10` : `95,317,394`	0.001	0.999	0.001
rs185671464 lBF = `0` Chr`10` : `54,486,920`	0.001	0.999	0.001
rs144473309 lBF = `0` Chr`10` : `77,129,161`	0.001	0.999	0.001
rs140682412 lBF = `0` Chr`10` : `89,332,706`	0.001	0.999	0.001
rs180858466 lBF = `0` Chr`10` : `38,761,238`	0.001	0.999	0.001
rs188724679 lBF = `0` Chr`10` : `135,224,855`	0.001	0.999	0.001
rs183323229 lBF = `0` Chr`10` : `33,168,215`	0.001	0.999	0.001
rs114088342 lBF = `0` Chr`10` : `35,918,232`	0.001	0.999	0.001
rs78627331 lBF = `0` Chr`10` : `94,812,254`	0.001	0.999	0.001
rs181666690 lBF = `0` Chr`10` : `28,852,022`	0.001	0.999	0.001
rs76850691 lBF = `0` Chr`10` : `101,157,438`	0.001	0.999	0.001
rs4750829 lBF = `0` Chr`10` : `132,547,261`	0.001	0.999	0.001
rs12245299 lBF = `0` Chr`10` : `55,913,700`	0.001	0.999	0.001
rs190671939 lBF = `0` Chr`10` : `134,909,987`	0.001	0.999	0.001
rs142973438 lBF = `0` Chr`10` : `95,315,999`	0.001	0.999	0.001
rs7072776 lBF = `0` Chr`10` : `22,032,942`	0.001	0.999	0.001
rs117260820 lBF = `0` Chr`10` : `102,048,643`	0.001	0.999	0.001
rs79105493 lBF = `0` Chr`10` : `95,475,354`	0.001	0.999	0.001
rs12263766 lBF = `0` Chr`10` : `9,996,990`	0.001	0.999	0.001
rs184737911 lBF = `0` Chr`10` : `88,431,292`	0.001	0.999	0.001
rs115553536 lBF = `0` Chr`10` : `31,981,385`	0.001	0.999	0.001
rs58600253 lBF = `0` Chr`10` : `64,507,904`	0.001	0.999	0.001
rs2893923 lBF = `-0.0443434` Chr`10` : `65,261,184`	0.000	0.999	0.001
rs7087591 lBF = `13.617` Chr`10` : `94,473,629`	0.000	0.999	0.001
rs11189853 lBF = `0.0576624` Chr`10` : `100,646,181`	0.001	0.999	0.000
rs41322152 lBF = `0.00001398` Chr`10` : `72,040,805`	0.001	0.999	0.000
rs181778161 lBF = `-0.00000964` Chr`10` : `91,691,500`	0.000	0.999	0.001
rs2388328 lBF = `-0.00002686` Chr`10` : `131,234,372`	0.001	0.999	0.000
rs10508343 lBF = `-0.00003164` Chr`10` : `8,150,713`	0.001	0.999	0.000
rs114154155 lBF = `-0.00021094` Chr`10` : `63,185,662`	0.001	0.999	0.000
rs1900005 lBF = `-0.0343032` Chr`10` : `69,998,055`	0.001	0.999	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.001	0.999	0.000
rs10491003 lBF = `-0.0366848` Chr`10` : `9,328,651`	0.001	0.999	0.000
rs17771318 lBF = `0.0721` Chr`10` : `49,911,357`	0.001	0.999	0.000
rs12249434 lBF = `0.00510738` Chr`10` : `118,298,706`	0.000	0.999	0.000
rs138071473 lBF = `0.00077146` Chr`10` : `13,673,528`	0.001	0.999	0.000
rs11252394 lBF = `0.147192` Chr`10` : `4,240,870`	0.000	0.999	0.001
rs6585827 lBF = `2.81506` Chr`10` : `124,165,615`	0.000	0.999	0.001
rs1002442 lBF = `0.722416` Chr`10` : `61,803,062`	0.001	0.999	0.000
rs61862032 lBF = `0.0455064` Chr`10` : `124,887,125`	0.000	0.999	0.001
rs12356193 lBF = `0.125377` Chr`10` : `61,413,353`	0.000	0.999	0.001
rs16918253 lBF = `-0.0291484` Chr`10` : `19,405,531`	0.001	0.999	0.000
rs749141 lBF = `0.386351` Chr`10` : `130,369,490`	0.000	0.999	0.001
rs703974 lBF = `10.1529` Chr`10` : `80,948,593`	0.000	0.999	0.001
rs12768811 lBF = `0.0342091` Chr`10` : `33,474,751`	0.000	0.999	0.001
rs7070038 lBF = `-0.00056207` Chr`10` : `59,724,388`	0.001	0.999	0.000
rs2593149 lBF = `-0.0709324` Chr`10` : `80,390,267`	0.000	0.999	0.001
rs1746049 lBF = `13.6931` Chr`10` : `44,776,310`	0.000	0.999	0.001
rs10794720 lBF = `0.062675` Chr`10` : `1,156,165`	0.000	0.999	0.001
rs10508727 lBF = `-0.0402457` Chr`10` : `28,025,771`	0.001	0.999	0.000
rs9943451 lBF = `-0.00284123` Chr`10` : `7,070,570`	0.001	0.999	0.000
rs10510110 lBF = `3.34961` Chr`10` : `124,192,430`	0.000	0.999	0.001
rs788076 lBF = `0.0216288` Chr`10` : `29,336,849`	0.001	0.999	0.000
rs10824026 lBF = `0.0068493` Chr`10` : `75,421,208`	0.000	0.999	0.001
rs978571 lBF = `0.00178102` Chr`10` : `108,414,764`	0.000	0.999	0.001
rs768606 lBF = `0.0303909` Chr`10` : `9,277,525`	0.001	0.999	0.000
rs1555804 lBF = `0.00146244` Chr`10` : `23,393,066`	0.000	0.999	0.000
rs11196181 lBF = `6.91775` Chr`10` : `114,749,018`	0.000	0.999	0.001
rs1665650 lBF = `0.0303748` Chr`10` : `118,487,100`	0.000	0.999	0.001
rs2484990 lBF = `0.0117195` Chr`10` : `31,515,132`	0.001	0.999	0.000
rs577969 lBF = `-0.00850882` Chr`10` : `100,291,176`	0.001	0.999	0.000
rs2441727 lBF = `-0.0126322` Chr`10` : `68,224,886`	0.000	0.999	0.001
rs4086116 lBF = `-0.0455218` Chr`10` : `96,707,202`	0.000	0.999	0.001
rs7090871 lBF = `-0.0463331` Chr`10` : `63,830,286`	0.000	0.999	0.001

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`)