TreeWAS – [I30] Acute pericarditis

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I30

Acute pericarditis

Parent term	I30-I52 Other forms of heart disease
Nested terms	I30.0 Acute nonspecific idiopathic pericarditis I30.1 Infective pericarditis I30.8 Other forms of acute pericarditis I30.9 Acute pericarditis, unspecified

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Variant effects

Click on a variant to see its association results.

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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
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.862	0.138	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.854	0.146	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.767	0.233	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.763	0.237	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.763	0.237	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.738	0.262	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.735	0.265	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.730	0.270	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.724	0.276	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.717	0.283	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.717	0.283	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.717	0.283	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.717	0.283	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.717	0.283	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.717	0.283	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.716	0.283	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.716	0.284	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.716	0.284	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.716	0.284	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.712	0.288	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.710	0.290	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.709	0.291	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.706	0.294	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.705	0.295	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.698	0.302	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.695	0.305	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.694	0.306	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.693	0.307	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.693	0.307	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.688	0.312	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.687	0.313	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.686	0.314	0.000
rs192549394 lBF = `1.61666` Chr`14` : `52,293,779`	0.674	0.326	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.672	0.328	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.671	0.329	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.669	0.331	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.654	0.346	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.653	0.347	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.652	0.348	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.648	0.352	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.647	0.352	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.646	0.354	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.645	0.355	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.643	0.356	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.642	0.358	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.639	0.361	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.635	0.365	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.629	0.371	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.621	0.378	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.617	0.383	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.614	0.385	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.605	0.395	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.602	0.398	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.599	0.401	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.590	0.410	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.564	0.436	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.560	0.440	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.557	0.442	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.549	0.451	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.548	0.452	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.546	0.454	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.512	0.488	0.000
rs80221072 lBF = `0.96065` Chr`14` : `33,795,591`	0.489	0.511	0.000
rs10498345 lBF = `1.07994` Chr`14` : `39,020,505`	0.487	0.513	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.467	0.533	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.463	0.537	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.457	0.542	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.454	0.545	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.437	0.563	0.000
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.429	0.571	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.427	0.573	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.417	0.583	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.583	0.417
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.416	0.584	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.399	0.601	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.387	0.613	0.000
rs192692653 lBF = `2.44667` Chr`14` : `52,384,486`	0.355	0.645	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.320	0.679	0.000
rs11627967 lBF = `0.353752` Chr`14` : `33,769,912`	0.312	0.687	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.304	0.696	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.287	0.712	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.275	0.725	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.272	0.728	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.250	0.750	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.248	0.752	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.228	0.772	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.201	0.798	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.184	0.815	0.001
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.165	0.835	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.133	0.867	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.131	0.869	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.128	0.871	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.118	0.882	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.117	0.883	0.000
rs186152940 lBF = `0.126532` Chr`14` : `46,476,984`	0.116	0.884	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.105	0.894	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.087	0.913	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.081	0.919	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.081	0.919	0.000
rs150511909 lBF = `0.288513` Chr`14` : `97,908,686`	0.079	0.921	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.000	0.921	0.078
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.074	0.925	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.067	0.933	0.000
rs182491339 lBF = `0.10278` Chr`14` : `66,049,929`	0.066	0.934	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.065	0.935	0.000
rs17094983 lBF = `0.241374` Chr`14` : `59,189,361`	0.000	0.939	0.061
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.060	0.940	0.000
rs10151686 lBF = `0.169654` Chr`14` : `30,466,466`	0.056	0.944	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.000	0.944	0.055
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.054	0.946	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.052	0.948	0.000
rs12587252 lBF = `0.5067` Chr`14` : `81,405,922`	0.050	0.950	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.047	0.953	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.039	0.961	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.039	0.961	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.038	0.961	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.037	0.962	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.036	0.964	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.035	0.965	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.034	0.966	0.000
rs183755958 lBF = `0.0427294` Chr`14` : `52,307,478`	0.032	0.967	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.029	0.971	0.000
rs186116546 lBF = `0.0301833` Chr`14` : `65,986,176`	0.029	0.971	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.028	0.972	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.027	0.973	0.000
rs3783782 lBF = `0.0923372` Chr`14` : `61,940,675`	0.000	0.974	0.026
rs1092015 lBF = `1.59496` Chr`14` : `58,200,725`	0.000	0.974	0.026
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.025	0.974	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.024	0.976	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.020	0.980	0.000
rs117911949 lBF = `0.377711` Chr`14` : `72,016,789`	0.020	0.980	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.020	0.980	0.000
rs3811321 lBF = `-0.00354109` Chr`14` : `22,481,824`	0.020	0.980	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.019	0.981	0.000
rs58262369 lBF = `0.0229117` Chr`14` : `64,693,912`	0.018	0.981	0.000
rs117672662 lBF = `0.032178` Chr`14` : `69,425,467`	0.017	0.982	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.016	0.984	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.015	0.985	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.007	0.985	0.007
rs709400 lBF = `0.89509` Chr`14` : `104,149,475`	0.000	0.986	0.014
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.000	0.986	0.014
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.010	0.987	0.003
rs2582532 lBF = `0.0391405` Chr`14` : `105,392,837`	0.013	0.987	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.013	0.987	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.012	0.988	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.012	0.988	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.009	0.991	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.008	0.992	0.000
rs6576086 lBF = `0.00570964` Chr`14` : `105,873,144`	0.000	0.992	0.008
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.008	0.992	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.008	0.992	0.000
rs115102486 lBF = `0.0223896` Chr`14` : `95,764,564`	0.008	0.992	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.007	0.992	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.006	0.994	0.000
rs3783863 lBF = `0.0157879` Chr`14` : `89,776,745`	0.000	0.994	0.005
rs11625793 lBF = `-0.0864867` Chr`14` : `66,315,883`	0.005	0.995	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.004	0.996	0.000
rs185449237 lBF = `0.00377806` Chr`14` : `47,199,333`	0.003	0.997	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.003	0.997	0.000
rs76513344 lBF = `0.00295873` Chr`14` : `63,047,683`	0.003	0.997	0.000
rs8009420 lBF = `0.685846` Chr`14` : `54,263,851`	0.003	0.997	0.000
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.003	0.997	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.003	0.997	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.003	0.997	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.002	0.997	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.002	0.997	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.002	0.998	0.000
rs11847697 lBF = `0.027204` Chr`14` : `30,515,112`	0.002	0.998	0.000
rs4904670 lBF = `0.00098541` Chr`14` : `90,770,210`	0.000	0.998	0.002
rs2488856 lBF = `0.0435537` Chr`14` : `43,531,402`	0.002	0.998	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.002	0.998	0.000
rs4901977 lBF = `0.151587` Chr`14` : `60,789,176`	0.002	0.998	0.000
rs35955841 lBF = `-0.0337909` Chr`14` : `65,319,361`	0.002	0.998	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.001	0.998	0.000
rs8016982 lBF = `-0.100474` Chr`14` : `81,707,057`	0.002	0.998	0.000
rs1546939 lBF = `-0.072705` Chr`14` : `26,670,925`	0.000	0.998	0.002
rs8016620 lBF = `0.00254963` Chr`14` : `97,393,685`	0.001	0.998	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.001	0.998	0.000
rs10162376 lBF = `0.00098877` Chr`14` : `81,030,493`	0.001	0.998	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.000	0.999	0.001
rs144190017 lBF = `0.182292` Chr`14` : `25,893,032`	0.000	0.999	0.001
rs115169421 lBF = `0.00090948` Chr`14` : `96,093,847`	0.001	0.999	0.000
rs191926782 lBF = `0.00081724` Chr`14` : `85,956,171`	0.001	0.999	0.000
rs148071215 lBF = `0.123842` Chr`14` : `83,272,653`	0.001	0.999	0.000
rs7141238 lBF = `-0.0308401` Chr`14` : `61,734,640`	0.001	0.999	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.001	0.999	0.000
rs57602116 lBF = `0.0008998` Chr`14` : `95,283,220`	0.001	0.999	0.001
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.001	0.999	0.000
rs146750542 lBF = `0.00058545` Chr`14` : `32,500,171`	0.001	0.999	0.000
rs699363 lBF = `0.173027` Chr`14` : `72,692,493`	0.001	0.999	0.000
rs2143963 lBF = `0.00021584` Chr`14` : `54,723,923`	0.001	0.999	0.000
rs4144027 lBF = `1.9022` Chr`14` : `104,357,638`	0.001	0.999	0.000
rs74731421 lBF = `0.938135` Chr`14` : `38,210,286`	0.001	0.999	0.000
rs139134142 lBF = `0.00018876` Chr`14` : `92,069,489`	0.001	0.999	0.000
rs28489712 lBF = `0.00036831` Chr`14` : `55,483,786`	0.001	0.999	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.001	0.999	0.000
rs76745467 lBF = `0.113511` Chr`14` : `69,426,389`	0.000	0.999	0.001
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rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	1.000	0.000
rs116988415 lBF = `1.2421` Chr`14` : `65,292,145`	0.000	1.000	0.000
rs8010717 lBF = `0.425189` Chr`14` : `80,410,441`	0.000	1.000	0.000
rs2753462 lBF = `0.212884` Chr`14` : `60,850,703`	0.000	1.000	0.000
rs1508945 lBF = `0.0681269` Chr`14` : `58,034,570`	0.000	1.000	0.000
rs7147087 lBF = `0.00910278` Chr`14` : `59,236,307`	0.000	1.000	0.000
rs35209784 lBF = `0.00609035` Chr`14` : `59,751,830`	0.000	1.000	0.000
rs1958581 lBF = `0.0051135` Chr`14` : `34,801,599`	0.000	1.000	0.000
rs75575287 lBF = `0.00419909` Chr`14` : `73,222,829`	0.000	1.000	0.000
rs8015959 lBF = `0.00116327` Chr`14` : `33,480,922`	0.000	1.000	0.000
rs17111920 lBF = `-0.00597461` Chr`14` : `27,406,892`	0.000	1.000	0.000
rs80073712 lBF = `-0.0061084` Chr`14` : `21,207,775`	0.000	1.000	0.000
rs75987388 lBF = `-0.0128527` Chr`14` : `70,385,707`	0.000	1.000	0.000
rs11158907 lBF = `-0.0206365` Chr`14` : `71,987,065`	0.000	1.000	0.000
rs113317269 lBF = `-0.0256054` Chr`14` : `45,046,629`	0.000	1.000	0.000
rs7144481 lBF = `-0.0336444` Chr`14` : `81,610,942`	0.000	1.000	0.000
rs10136766 lBF = `-0.0497318` Chr`14` : `106,232,585`	0.000	1.000	0.000
rs12884468 lBF = `-0.0521086` Chr`14` : `35,852,486`	0.000	1.000	0.000
rs12885454 lBF = `-0.0550644` Chr`14` : `29,736,838`	0.000	1.000	0.000
rs2352904 lBF = `-0.0730186` Chr`14` : `49,372,801`	0.000	1.000	0.000
rs1115240 lBF = `-0.0958433` Chr`14` : `27,090,388`	0.000	1.000	0.000
rs1958023 lBF = `-0.0975792` Chr`14` : `33,677,203`	0.000	1.000	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.000	1.000	0.000
rs17093520 lBF = `7.13877` Chr`14` : `74,346,295`	0.000	1.000	0.000
rs78807545 lBF = `1.66568` Chr`14` : `97,541,630`	0.000	1.000	0.000
rs17807815 lBF = `0.567103` Chr`14` : `92,556,055`	0.000	1.000	0.000
rs8008270 lBF = `0.135649` Chr`14` : `53,372,330`	0.000	1.000	0.000
rs12589327 lBF = `0.0589132` Chr`14` : `82,299,173`	0.000	1.000	0.000
rs17127713 lBF = `0.0575476` Chr`14` : `55,122,918`	0.000	1.000	0.000
rs10498514 lBF = `0.0521203` Chr`14` : `64,899,055`	0.000	1.000	0.000
rs11627075 lBF = `0.0363587` Chr`14` : `94,972,242`	0.000	1.000	0.000
rs4902960 lBF = `0.0355215` Chr`14` : `72,432,149`	0.000	1.000	0.000
rs79110742 lBF = `0.0352416` Chr`14` : `83,347,928`	0.000	1.000	0.000
rs7144584 lBF = `0.00567901` Chr`14` : `64,275,812`	0.000	1.000	0.000
rs869834 lBF = `-0.0005937` Chr`14` : `63,177,144`	0.000	1.000	0.000
rs17796783 lBF = `-0.0150556` Chr`14` : `85,809,911`	0.000	1.000	0.000
rs2877649 lBF = `-0.0161482` Chr`14` : `24,954,002`	0.000	1.000	0.000
rs7152554 lBF = `-0.0187462` Chr`14` : `84,597,385`	0.000	1.000	0.000
rs10131728 lBF = `-0.0206612` Chr`14` : `81,635,323`	0.000	1.000	0.000
rs10484157 lBF = `-0.0207036` Chr`14` : `83,789,345`	0.000	1.000	0.000
rs7153027 lBF = `-0.0229922` Chr`14` : `92,427,222`	0.000	1.000	0.000
rs7154721 lBF = `-0.0233526` Chr`14` : `92,427,348`	0.000	1.000	0.000
rs4898641 lBF = `-0.0381064` Chr`14` : `38,013,787`	0.000	1.000	0.000
rs945270 lBF = `-0.0450119` Chr`14` : `56,200,473`	0.000	1.000	0.000
rs7151968 lBF = `-0.053489` Chr`14` : `48,601,436`	0.000	1.000	0.000
rs808225 lBF = `-0.0593509` Chr`14` : `58,397,916`	0.000	1.000	0.000
rs1152591 lBF = `-0.0732329` Chr`14` : `64,680,848`	0.000	1.000	0.000
rs8015016 lBF = `-0.0736639` Chr`14` : `96,122,408`	0.000	1.000	0.000
rs2332700 lBF = `-0.0793436` Chr`14` : `72,417,326`	0.000	1.000	0.000
rs8005962 lBF = `-0.091564` Chr`14` : `96,027,153`	0.000	1.000	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.000	1.000	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.000	1.000	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.000	1.000	0.000
rs11844632 lBF = `2.74782` Chr`14` : `69,026,379`	0.000	1.000	0.000
rs1612141 lBF = `2.4558` Chr`14` : `41,702,598`	0.000	1.000	0.000
rs8005161 lBF = `2.02207` Chr`14` : `88,472,595`	0.000	1.000	0.000
rs12590437 lBF = `0.314604` Chr`14` : `38,447,092`	0.000	1.000	0.000
rs2012796 lBF = `0.238873` Chr`14` : `81,810,945`	0.000	1.000	0.000
rs1263806 lBF = `0.120636` Chr`14` : `21,982,957`	0.000	1.000	0.000
rs2784505 lBF = `0.111834` Chr`14` : `62,432,013`	0.000	1.000	0.000
rs4904947 lBF = `0.107386` Chr`14` : `92,972,162`	0.000	1.000	0.000
rs10147992 lBF = `0.102132` Chr`14` : `25,503,799`	0.000	1.000	0.000
rs7153648 lBF = `0.0975812` Chr`14` : `61,122,526`	0.000	1.000	0.000
rs7144018 lBF = `0.0675374` Chr`14` : `57,607,067`	0.000	1.000	0.000
rs2093746 lBF = `0.0577197` Chr`14` : `90,227,251`	0.000	1.000	0.000
rs2300835 lBF = `0.0444221` Chr`14` : `33,207,522`	0.000	1.000	0.000
rs1756650 lBF = `0.0386228` Chr`14` : `87,741,025`	0.000	1.000	0.000
rs10143078 lBF = `0.0301057` Chr`14` : `70,881,489`	0.000	1.000	0.000
rs4454866 lBF = `0.0230011` Chr`14` : `40,676,918`	0.000	1.000	0.000
rs1187614 lBF = `0.0221494` Chr`14` : `95,671,871`	0.000	1.000	0.000
rs35099116 lBF = `0.0144685` Chr`14` : `98,897,384`	0.000	1.000	0.000
rs36032616 lBF = `0.00464787` Chr`14` : `72,484,156`	0.000	1.000	0.000
rs17280262 lBF = `0.00291272` Chr`14` : `97,053,924`	0.000	1.000	0.000
rs17176043 lBF = `0.00204714` Chr`14` : `36,994,802`	0.000	1.000	0.000
rs17104630 lBF = `-0.0016712` Chr`14` : `37,000,049`	0.000	1.000	0.000
rs12882679 lBF = `-0.0020203` Chr`14` : `79,847,238`	0.000	1.000	0.000
rs111803315 lBF = `-0.00872891` Chr`14` : `59,965,293`	0.000	1.000	0.000
rs10134944 lBF = `-0.0110375` Chr`14` : `58,119,196`	0.000	1.000	0.000
rs4902141 lBF = `-0.0170287` Chr`14` : `62,968,395`	0.000	1.000	0.000
rs79162905 lBF = `-0.0220043` Chr`14` : `89,796,072`	0.000	1.000	0.000
rs3811345 lBF = `-0.0386343` Chr`14` : `96,389,331`	0.000	1.000	0.000
rs8008716 lBF = `-0.0388744` Chr`14` : `27,125,765`	0.000	1.000	0.000
rs11845134 lBF = `-0.044764` Chr`14` : `22,782,377`	0.000	1.000	0.000
rs12435908 lBF = `-0.0513858` Chr`14` : `66,121,468`	0.000	1.000	0.000
rs915071 lBF = `-0.0609337` Chr`14` : `32,433,858`	0.000	1.000	0.000
rs12882718 lBF = `-0.0859102` Chr`14` : `86,902,054`	0.000	1.000	0.000
rs935334 lBF = `-0.0862584` Chr`14` : `76,613,678`	0.000	1.000	0.000
rs2121070 lBF = `-0.0889456` Chr`14` : `76,650,764`	0.000	1.000	0.000
rs1160351 lBF = `-0.102157` Chr`14` : `48,015,982`	0.000	1.000	0.000
rs12879264 lBF = `-0.109083` Chr`14` : `52,074,207`	0.000	1.000	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.000	1.000	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.000	1.000	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.000	1.000	0.000
rs7148147 lBF = `5.89661` Chr`14` : `50,074,520`	0.000	1.000	0.000
rs1537424 lBF = `2.49691` Chr`14` : `36,574,018`	0.000	1.000	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6039

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4764

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.4719

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.1963

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9890

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9878

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9869

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9807

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9806

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9754

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9662

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9662

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9650

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9626

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9591

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9506

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9503

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9451

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9438

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9428

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9402

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9390

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9380

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9374

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9370

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9348

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9325

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9266

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9263

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9248

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9189

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9131

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9114

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9099

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9048

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9030

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8999

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8955

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8955

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8954

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8911

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8909

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8882

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8877

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8867

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8864

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8847

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8839

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8827

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8795

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8777

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8717

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8700

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8692

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.8690

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8542

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8536

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8533

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8517

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8469

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8439

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8428

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8424

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8421

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8371

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8276

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8274

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8248

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8193

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8185

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8184

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8183

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8171

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8156

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8134

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.8115

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8054

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8044

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8043

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7959

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7949

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7921

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.7879

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7867

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7821

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7810

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7776

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7754

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7641

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7635

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7519

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7487

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7481

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7441

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7385

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7379

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7353

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7332

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7310

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7301

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7298

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7283

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7220

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7169

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7162

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7130

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7119

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6940

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6926

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6889

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6875

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6825

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6808

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6807

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6740

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6708

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6603

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6590

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6548

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6463

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6374

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6367

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6342

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6337

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6297

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6267

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6244

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6213

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6101

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6099

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6020

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5994

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5859

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5461

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5440

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5347

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5303

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5195

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4982

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4968

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4863

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4743

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4660

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4618

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4386

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4354

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4334

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3951

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3482

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3031

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.2894

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2362

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1572

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1258

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0855

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0848

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0741

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0516

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0507

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`)