TreeWAS – [I34] Nonrheumatic mitral valve disorders

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I34

Nonrheumatic mitral valve disorders

Parent term	I30-I52 Other forms of heart disease
Nested terms	I34.0 Mitral (valve) insufficiency I34.1 Mitral (valve) prolapse I34.2 Nonrheumatic mitral (valve) stenosis I34.8 Other nonrheumatic mitral valve disorders I34.9 Nonrheumatic mitral valve disorder, 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
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.988	0.012	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.952	0.048	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.948	0.052	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.936	0.064	0.000
rs3731257 lBF = `90.8856` Chr`9` : `21,966,221`	0.927	0.073	0.000
rs11244084 lBF = `22.0558` Chr`9` : `136,191,010`	0.909	0.091	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.908	0.092	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.907	0.093	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.887	0.113	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.883	0.117	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.866	0.134	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.863	0.137	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.835	0.165	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.834	0.166	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.827	0.173	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.813	0.187	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.790	0.210	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.763	0.236	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.759	0.241	0.000
rs687621 lBF = `157.152` Chr`9` : `136,137,065`	0.752	0.248	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.742	0.258	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.736	0.263	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.724	0.276	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.718	0.282	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.713	0.287	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.702	0.298	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.670	0.330	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.666	0.334	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.665	0.334	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.656	0.344	0.000
rs505922 lBF = `162.562` Chr`9` : `136,149,229`	0.656	0.344	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.651	0.348	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.646	0.354	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.634	0.366	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.630	0.369	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.629	0.371	0.000
rs2841498 lBF = `0.525019` Chr`9` : `87,930,045`	0.000	0.381	0.619
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.619	0.381	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.615	0.385	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.613	0.387	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.607	0.393	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.604	0.396	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.600	0.400	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.598	0.401	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.595	0.405	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.590	0.409	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.583	0.417	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.579	0.421	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.578	0.422	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.570	0.430	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.567	0.433	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.564	0.436	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.564	0.436	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.562	0.438	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.559	0.441	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.556	0.444	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.545	0.455	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.545	0.455	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.543	0.457	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.539	0.461	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.538	0.462	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.537	0.463	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.537	0.463	0.000
rs1537370 lBF = `339.752` Chr`9` : `22,084,310`	0.535	0.465	0.000
rs6475606 lBF = `331.139` Chr`9` : `22,081,850`	0.533	0.467	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.531	0.469	0.000
rs10757269 lBF = `323.969` Chr`9` : `22,072,264`	0.531	0.469	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.525	0.475	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.504	0.496	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.502	0.498	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.493	0.507	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.491	0.509	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.490	0.510	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.478	0.522	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.476	0.524	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.454	0.546	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.434	0.566	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.432	0.567	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.423	0.576	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.420	0.580	0.001
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.419	0.581	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.416	0.583	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.416	0.584	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.412	0.588	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.408	0.591	0.001
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.408	0.592	0.000
rs514659 lBF = `140.82` Chr`9` : `136,142,203`	0.401	0.599	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.392	0.608	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.390	0.609	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.611	0.389
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.389	0.611	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.389	0.611	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.383	0.616	0.001
rs657152 lBF = `149.847` Chr`9` : `136,139,265`	0.383	0.617	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.374	0.626	0.000
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	0.369	0.630	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.369	0.631	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.364	0.636	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.363	0.637	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.362	0.638	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.358	0.642	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.355	0.645	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.349	0.651	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.348	0.652	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.347	0.653	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.341	0.659	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.338	0.662	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.335	0.665	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.334	0.666	0.000
rs8176719 lBF = `148.272` Chr`9` : `136,132,908`	0.332	0.668	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.331	0.669	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.326	0.674	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.326	0.674	0.000
rs643434 lBF = `151.434` Chr`9` : `136,142,355`	0.326	0.674	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.318	0.682	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.315	0.685	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.305	0.694	0.001
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.305	0.695	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.290	0.709	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.286	0.713	0.001
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.279	0.720	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.276	0.724	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.266	0.734	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.266	0.734	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.264	0.736	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.264	0.736	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.261	0.739	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.256	0.740	0.003
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.256	0.744	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.245	0.755	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.243	0.757	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.236	0.764	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.233	0.767	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.223	0.776	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.223	0.777	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.221	0.779	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.219	0.780	0.001
rs78757963 lBF = `12.3274` Chr`9` : `6,282,511`	0.218	0.782	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.217	0.783	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.213	0.787	0.000
rs633862 lBF = `50.6568` Chr`9` : `136,155,444`	0.205	0.795	0.000
rs2006996 lBF = `0.374558` Chr`9` : `117,592,638`	0.202	0.798	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.194	0.806	0.000
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.185	0.814	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.183	0.817	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.179	0.820	0.000
rs10965243 lBF = `6.81858` Chr`9` : `22,130,065`	0.000	0.821	0.179
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.178	0.822	0.000
rs1333040 lBF = `229.258` Chr`9` : `22,083,404`	0.000	0.823	0.177
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.175	0.825	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.175	0.825	0.000
rs4838320 lBF = `0.163612` Chr`9` : `128,831,097`	0.170	0.830	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.169	0.831	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.169	0.831	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.168	0.832	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.159	0.841	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.157	0.843	0.000
rs4977756 lBF = `180.502` Chr`9` : `22,068,652`	0.000	0.843	0.157
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.155	0.845	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.151	0.848	0.001
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.145	0.854	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.142	0.858	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.140	0.860	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.138	0.862	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.137	0.863	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.125	0.875	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.121	0.878	0.001
rs62556547 lBF = `41.6654` Chr`9` : `22,019,156`	0.000	0.880	0.120
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.115	0.885	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.099	0.901	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.099	0.901	0.000
rs4246850 lBF = `12.9549` Chr`9` : `20,928,037`	0.000	0.909	0.090
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.088	0.911	0.001
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.079	0.921	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.075	0.925	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.074	0.926	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.066	0.933	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.066	0.934	0.000
rs10965219 lBF = `150.789` Chr`9` : `22,053,687`	0.063	0.937	0.000
rs7866070 lBF = `-0.0667158` Chr`9` : `132,444,099`	0.063	0.937	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.063	0.937	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.056	0.944	0.000
rs1412829 lBF = `154.353` Chr`9` : `22,043,926`	0.000	0.948	0.052
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.047	0.952	0.001
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.047	0.953	0.000
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.043	0.957	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.042	0.957	0.001
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	0.961	0.039
rs564398 lBF = `152.203` Chr`9` : `22,029,547`	0.000	0.968	0.032
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.030	0.970	0.000
rs12003180 lBF = `2.87978` Chr`9` : `15,283,097`	0.028	0.972	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.028	0.972	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.027	0.973	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.026	0.974	0.000
rs914605 lBF = `14.0956` Chr`9` : `20,742,963`	0.000	0.974	0.026
rs7865618 lBF = `166.125` Chr`9` : `22,031,005`	0.000	0.974	0.026
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.001	0.975	0.025
rs2157719 lBF = `171.627` Chr`9` : `22,033,366`	0.000	0.976	0.024
rs581107 lBF = `48.1134` Chr`9` : `136,147,702`	0.000	0.978	0.022
rs12344488 lBF = `-0.0338799` Chr`9` : `78,425,925`	0.000	0.978	0.022
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rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.001	0.999	0.000
rs77213524 lBF = `-0.00002607` Chr`9` : `30,975,832`	0.001	0.999	0.000
rs60634637 lBF = `0.00003216` Chr`9` : `110,873,780`	0.001	0.999	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.000	0.999	0.001
rs6476030 lBF = `0.00137645` Chr`9` : `289,061`	0.001	0.999	0.000
rs4074785 lBF = `6.03962` Chr`9` : `21,981,583`	0.000	0.999	0.001
rs4841895 lBF = `-0.0603263` Chr`9` : `137,424,042`	0.000	0.999	0.001
rs2270204 lBF = `-0.0466587` Chr`9` : `131,042,734`	0.001	0.999	0.000
rs872256 lBF = `-0.0466685` Chr`9` : `2,496,480`	0.001	0.999	0.000
rs3758354 lBF = `0.035668` Chr`9` : `75,764,565`	0.001	0.999	0.000
rs1011970 lBF = `9.65924` Chr`9` : `22,062,134`	0.000	0.999	0.001
rs4741343 lBF = `-0.0639454` Chr`9` : `14,075,095`	0.001	0.999	0.000
rs1342326 lBF = `36.626` Chr`9` : `6,190,076`	0.000	0.999	0.001
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.001	0.999	0.000
rs10975003 lBF = `8.89331` Chr`9` : `5,213,687`	0.001	0.999	0.000
rs4961511 lBF = `-0.106588` Chr`9` : `16,970,809`	0.001	0.999	0.000
rs187116366 lBF = `-0.00124602` Chr`9` : `73,915,452`	0.000	0.999	0.000
rs10123041 lBF = `-0.0444053` Chr`9` : `86,922,036`	0.001	0.999	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	0.999	0.001
rs10119066 lBF = `-0.0342854` Chr`9` : `7,509,895`	0.001	0.999	0.000
rs7849585 lBF = `-0.0720115` Chr`9` : `139,111,870`	0.001	0.999	0.000
rs1572299 lBF = `-0.0955674` Chr`9` : `121,346,417`	0.000	0.999	0.001
rs10965235 lBF = `-0.00159282` Chr`9` : `22,115,105`	0.000	0.999	0.000
rs10980921 lBF = `-0.0418995` Chr`9` : `114,279,912`	0.001	0.999	0.000
rs10776934 lBF = `-0.0877558` Chr`9` : `138,029,701`	0.001	0.999	0.000
rs9409154 lBF = `2.40589` Chr`9` : `118,202,716`	0.001	0.999	0.000
rs1875620 lBF = `-0.0260819` Chr`9` : `91,540,059`	0.001	0.999	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	0.999	0.001
rs10810657 lBF = `20.0354` Chr`9` : `16,884,586`	0.000	0.999	0.001
rs2472448 lBF = `0.142433` Chr`9` : `107,604,507`	0.000	0.999	0.001
rs10975479 lBF = `35.199` Chr`9` : `6,197,377`	0.000	0.999	0.001
rs17054265 lBF = `4.41443` Chr`9` : `91,260,562`	0.001	0.999	0.000
rs7873102 lBF = `0.289787` Chr`9` : `38,041,142`	0.001	0.999	0.000
rs881375 lBF = `-0.012193` Chr`9` : `123,652,898`	0.001	0.999	0.000
rs489332 lBF = `-0.0662992` Chr`9` : `78,028,346`	0.001	0.999	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.001	0.999	0.000
rs36206051 lBF = `0.102509` Chr`9` : `90,207,626`	0.001	0.999	0.000
rs78496360 lBF = `-0.00327034` Chr`9` : `31,499,713`	0.000	0.999	0.000
rs1463984 lBF = `0.220472` Chr`9` : `108,427,062`	0.000	0.999	0.001
rs7031417 lBF = `0.023482` Chr`9` : `90,826,253`	0.001	0.999	0.000
rs1953126 lBF = `0.00906134` Chr`9` : `123,640,500`	0.001	0.999	0.000
rs1771792 lBF = `-0.042262` Chr`9` : `125,221,224`	0.001	0.999	0.000
rs10758892 lBF = `-0.0103615` Chr`9` : `7,734,250`	0.001	0.999	0.000
rs7870753 lBF = `-0.0581608` Chr`9` : `99,201,585`	0.000	0.999	0.001
rs7032940 lBF = `-0.0818828` Chr`9` : `112,945,405`	0.000	0.999	0.001
rs10858250 lBF = `0.0786668` Chr`9` : `139,119,215`	0.000	0.999	0.000
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.999	0.000
rs2153271 lBF = `19.067` Chr`9` : `16,864,521`	0.000	1.000	0.000
rs10511598 lBF = `5.70461` Chr`9` : `14,841,633`	0.000	1.000	0.000
rs192256335 lBF = `-0.00420052` Chr`9` : `129,725,820`	0.000	1.000	0.000
rs1325154 lBF = `0.00855956` Chr`9` : `12,582,565`	0.000	1.000	0.000
rs11144688 lBF = `0.00352942` Chr`9` : `78,542,286`	0.000	1.000	0.000
rs7851693 lBF = `0.0180335` Chr`9` : `133,478,827`	0.000	1.000	0.000
rs4879628 lBF = `-0.0379256` Chr`9` : `32,888,520`	0.000	1.000	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.000	1.000	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.000	1.000	0.000
rs3736986 lBF = `-0.0063385` Chr`9` : `36,194,569`	0.000	1.000	0.000
rs10982156 lBF = `-0.012601` Chr`9` : `117,088,064`	0.000	1.000	0.000
rs7853970 lBF = `-0.0287689` Chr`9` : `86,715,566`	0.000	1.000	0.000
rs7856675 lBF = `0.0440273` Chr`9` : `4,555,305`	0.000	1.000	0.000
rs10814275 lBF = `0.043786` Chr`9` : `35,758,578`	0.000	1.000	0.000
rs3802458 lBF = `0.0294039` Chr`9` : `97,741,274`	0.000	1.000	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.000	1.000	0.000
rs7466269 lBF = `0.0293827` Chr`9` : `133,464,084`	0.000	1.000	0.000
rs7874142 lBF = `0.0135613` Chr`9` : `137,704,782`	0.000	1.000	0.000
rs10991437 lBF = `-0.0258699` Chr`9` : `107,735,920`	0.000	1.000	0.000
rs10988542 lBF = `0.542065` Chr`9` : `132,657,264`	0.000	1.000	0.000
rs112541862 lBF = `0.0130169` Chr`9` : `97,483,158`	0.000	1.000	0.000
rs150611042 lBF = `0.00705816` Chr`9` : `117,083,803`	0.000	1.000	0.000
rs2025151 lBF = `-0.0584531` Chr`9` : `99,161,512`	0.000	1.000	0.000
rs1475545 lBF = `-0.0732173` Chr`9` : `100,316,230`	0.000	1.000	0.000
rs523096 lBF = `126.227` Chr`9` : `22,019,129`	0.000	1.000	0.000
rs4879926 lBF = `0.0141498` Chr`9` : `35,700,837`	0.000	1.000	0.000
rs17806457 lBF = `1.18049` Chr`9` : `112,891,635`	0.000	1.000	0.000
rs7851437 lBF = `-0.00994799` Chr`9` : `28,395,332`	0.000	1.000	0.000
rs2275848 lBF = `-0.0177712` Chr`9` : `95,887,320`	0.000	1.000	0.000
rs11103429 lBF = `-0.0322924` Chr`9` : `137,506,578`	0.000	1.000	0.000
rs16929097 lBF = `-0.0324599` Chr`9` : `12,521,826`	0.000	1.000	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.000	1.000	0.000
rs10817758 lBF = `1.33282` Chr`9` : `118,143,933`	0.000	1.000	0.000
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.000	1.000	0.000
rs4978053 lBF = `0.235917` Chr`9` : `26,208,857`	0.000	1.000	0.000
rs10968457 lBF = `0.0650331` Chr`9` : `2,838,470`	0.000	1.000	0.000
rs62544064 lBF = `0.00328964` Chr`9` : `26,469,905`	0.000	1.000	0.000
rs912062 lBF = `-0.0103765` Chr`9` : `841,152`	0.000	1.000	0.000
rs2151145 lBF = `-0.0319378` Chr`9` : `82,345,881`	0.000	1.000	0.000
rs888219 lBF = `-0.0944461` Chr`9` : `128,929,023`	0.000	1.000	0.000
rs7864204 lBF = `-0.0949985` Chr`9` : `71,229,179`	0.000	1.000	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.000	1.000	0.000
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.000	1.000	0.000
rs2777777 lBF = `0.00854426` Chr`9` : `84,213,160`	0.000	1.000	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	1.000	0.000
rs10990032 lBF = `-0.0105511` Chr`9` : `105,116,201`	0.000	1.000	0.000
rs1535480 lBF = `-0.0655907` Chr`9` : `7,925,381`	0.000	1.000	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	1.000	0.000
rs1929412 lBF = `0.0143466` Chr`9` : `11,951,222`	0.000	1.000	0.000
rs10820447 lBF = `-0.0138771` Chr`9` : `99,132,044`	0.000	1.000	0.000
rs1774093 lBF = `-0.0286742` Chr`9` : `104,647,156`	0.000	1.000	0.000
rs10980854 lBF = `-0.0365583` Chr`9` : `114,050,357`	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.9997

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3590

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2847

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.0851

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

1.0000

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

1.0000

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9999

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9995

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9995

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9993

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9985

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9982

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9980

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9979

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9979

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9978

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9975

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9975

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9965

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9959

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9949

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9941

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9933

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9917

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.9902

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9867

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9862

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9824

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9750

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9746

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9727

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9707

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9622

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9604

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9591

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9519

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9420

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9229

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9186

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9139

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9000

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8956

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.8947

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.8946

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8941

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8848

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8807

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8716

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8703

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8690

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8681

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8599

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8596

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8551

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8390

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8381

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8246

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8105

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8057

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7821

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7561

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7502

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7388

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7339

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7320

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7188

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7019

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6997

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6963

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6681

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6663

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.6557

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6289

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6283

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6146

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6071

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5960

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5704

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5427

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5312

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5032

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4966

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4966

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4789

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4748

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4695

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4624

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4556

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4421

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4378

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4261

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4124

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4096

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4071

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4057

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4026

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3951

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3744

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3700

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3690

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3678

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3610

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3471

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3349

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3323

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3256

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3204

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3195

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3160

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3062

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3008

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2981

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2910

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2858

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2800

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2798

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2778

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2722

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2679

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2577

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2564

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2495

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2450

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2413

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2406

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2394

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2312

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.2271

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2265

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2249

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2169

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2167

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2147

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2138

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2104

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2026

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2007

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1808

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1805

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1781

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1772

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1748

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1741

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1730

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1720

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1707

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1695

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1581

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1558

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1446

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1376

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1014

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0947

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0615

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0595

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`)