TreeWAS – [I37] Pulmonary valve disorders

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I37

Pulmonary valve disorders

Parent term	I30-I52 Other forms of heart disease
Nested terms	I37.0 Pulmonary valve stenosis I37.1 Pulmonary valve insufficiency I37.2 Pulmonary valve stenosis with insufficiency I37.8 Other pulmonary valve disorders I37.9 Pulmonary 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
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.825	0.175	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.801	0.199	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.770	0.230	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.767	0.233	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.763	0.237	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.747	0.253	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.733	0.266	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.731	0.269	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.727	0.273	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.720	0.280	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.719	0.281	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.717	0.283	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.717	0.283	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.717	0.283	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.717	0.283	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.717	0.283	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.716	0.284	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.714	0.286	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.710	0.290	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.709	0.290	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.709	0.290	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.703	0.297	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.702	0.298	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.699	0.301	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.697	0.303	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.696	0.304	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.695	0.305	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.694	0.306	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.692	0.308	0.000
rs139806220 lBF = `1.3495` Chr`19` : `55,161,522`	0.000	0.317	0.683
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.683	0.317	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.678	0.321	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.678	0.322	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.670	0.330	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.664	0.336	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.662	0.338	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.643	0.357	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.643	0.357	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.000	0.379	0.621
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.613	0.387	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.611	0.389	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.610	0.389	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.608	0.392	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.608	0.392	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	0.405	0.595
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.574	0.426	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.000	0.439	0.561
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.549	0.451	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.544	0.456	0.000
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.000	0.482	0.518
rs34328549 lBF = `11.7329` Chr`19` : `7,253,184`	0.000	0.504	0.495
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.482	0.517	0.000
rs142130958 lBF = `78.6315` Chr`19` : `11,190,652`	0.000	0.522	0.478
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.473	0.526	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.463	0.537	0.000
rs112374545 lBF = `78.2181` Chr`19` : `11,188,899`	0.000	0.555	0.445
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.440	0.560	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.436	0.564	0.000
rs56289821 lBF = `77.2625` Chr`19` : `11,188,247`	0.000	0.608	0.392
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.392	0.608	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.389	0.611	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.350	0.650	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.334	0.666	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.308	0.691	0.000
rs6511720 lBF = `79.2472` Chr`19` : `11,202,306`	0.000	0.703	0.297
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.296	0.704	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.267	0.733	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.238	0.762	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.231	0.769	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.225	0.775	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.219	0.781	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.217	0.783	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.200	0.800	0.000
rs10411619 lBF = `0.26895` Chr`19` : `12,752,425`	0.000	0.804	0.196
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.181	0.818	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.179	0.821	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.173	0.827	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.152	0.848	0.000
rs157580 lBF = `46.2551` Chr`19` : `45,395,266`	0.000	0.849	0.151
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.150	0.850	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.145	0.855	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.135	0.864	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.117	0.883	0.000
rs8108707 lBF = `6.62886` Chr`19` : `11,474,335`	0.099	0.901	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.068	0.932	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.068	0.932	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.066	0.934	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.061	0.939	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.000	0.942	0.058
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	0.049	0.951	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.047	0.953	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.035	0.965	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.034	0.966	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.030	0.970	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.024	0.976	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.023	0.977	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.021	0.979	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.020	0.980	0.000
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.000	0.981	0.018
rs77866734 lBF = `0.0462773` Chr`19` : `1,637,052`	0.018	0.982	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.016	0.983	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.015	0.985	0.000
rs13343954 lBF = `1.72027` Chr`19` : `33,527,888`	0.011	0.989	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.011	0.989	0.000
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.011	0.989	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.011	0.989	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.010	0.990	0.000
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.009	0.990	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.008	0.991	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.008	0.992	0.000
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.008	0.992	0.000
rs2292342 lBF = `0.042879` Chr`19` : `49,118,371`	0.008	0.992	0.000
rs2228671 lBF = `38.6156` Chr`19` : `11,210,912`	0.000	0.993	0.007
rs8101143 lBF = `0.250278` Chr`19` : `21,956,136`	0.000	0.993	0.007
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.006	0.994	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.006	0.994	0.000
rs72986630 lBF = `0.00911748` Chr`19` : `11,849,736`	0.006	0.994	0.000
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.006	0.994	0.000
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.005	0.995	0.000
rs12608544 lBF = `0.00987206` Chr`19` : `49,136,651`	0.004	0.996	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.004	0.996	0.000
rs11880333 lBF = `0.0147017` Chr`19` : `49,144,790`	0.004	0.996	0.000
rs1529729 lBF = `12.5024` Chr`19` : `11,163,562`	0.004	0.996	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.003	0.997	0.000
rs73015720 lBF = `8.3101` Chr`19` : `17,860,775`	0.003	0.997	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.003	0.997	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.003	0.997	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.003	0.997	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.003	0.997	0.000
rs11672550 lBF = `1.00427` Chr`19` : `1,937,193`	0.002	0.998	0.000
rs73039434 lBF = `2.24288` Chr`19` : `33,524,919`	0.002	0.998	0.000
rs3786749 lBF = `0.12917` Chr`19` : `49,095,278`	0.000	0.998	0.002
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.002	0.998	0.000
rs67731056 lBF = `8.73421` Chr`19` : `7,264,549`	0.000	0.998	0.002
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.002	0.998	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.001	0.998	0.000
rs11668477 lBF = `39.7389` Chr`19` : `11,195,030`	0.000	0.998	0.001
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.001	0.998	0.000
rs8111998 lBF = `-0.00188112` Chr`19` : `22,741,675`	0.001	0.998	0.000
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.998	0.000
rs76137255 lBF = `0.0428155` Chr`19` : `40,783,832`	0.001	0.999	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.001	0.999	0.000
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs1984450 lBF = `0.311369` Chr`19` : `53,013,799`	0.001	0.999	0.000
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs2232063 lBF = `0.54636` Chr`19` : `10,196,350`	0.000	0.999	0.001
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.001	0.999	0.000
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs12721054 lBF = `0.00020901` Chr`19` : `45,422,587`	0.001	0.999	0.000
rs151060619 lBF = `0.00020631` Chr`19` : `47,213,311`	0.001	0.999	0.001
rs139399000 lBF = `0.00009949` Chr`19` : `47,204,441`	0.001	0.999	0.000
rs147565295 lBF = `0.00009949` Chr`19` : `47,195,255`	0.001	0.999	0.000
rs75185364 lBF = `0.00009949` Chr`19` : `47,192,941`	0.001	0.999	0.000
rs138814219 lBF = `0.00009949` Chr`19` : `47,196,646`	0.001	0.999	0.000
rs114855972 lBF = `0.00009949` Chr`19` : `47,194,886`	0.001	0.999	0.000
rs1047781 lBF = `0.00008525` Chr`19` : `49,206,631`	0.001	0.999	0.000
rs115824942 lBF = `0.00008384` Chr`19` : `47,208,382`	0.001	0.999	0.000
rs189265675 lBF = `0` Chr`19` : `5,907,423`	0.001	0.999	0.001
rs76617915 lBF = `0` Chr`19` : `41,538,078`	0.001	0.999	0.001
rs144556038 lBF = `0` Chr`19` : `53,085,847`	0.001	0.999	0.001
rs58632700 lBF = `0` Chr`19` : `58,992,001`	0.001	0.999	0.001
rs111563375 lBF = `0` Chr`19` : `5,908,762`	0.001	0.999	0.001
rs117403524 lBF = `0` Chr`19` : `20,635,291`	0.001	0.999	0.001
rs147615524 lBF = `0` Chr`19` : `1,205,889`	0.001	0.999	0.001
rs142080098 lBF = `0` Chr`19` : `7,796,550`	0.001	0.999	0.001
rs142119409 lBF = `0` Chr`19` : `16,116,431`	0.001	0.999	0.001
rs10408126 lBF = `0` Chr`19` : `13,245,968`	0.001	0.999	0.001
rs184381023 lBF = `0` Chr`19` : `41,947,225`	0.001	0.999	0.001
rs10415749 lBF = `-0.00000079` Chr`19` : `11,652,720`	0.001	0.999	0.000
rs17249141 lBF = `-0.00002178` Chr`19` : `11,200,008`	0.001	0.999	0.000
rs3745618 lBF = `-0.00006132` Chr`19` : `47,575,716`	0.000	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs10424878 lBF = `2.01027` Chr`19` : `51,374,967`	0.000	0.999	0.001
rs2053079 lBF = `-0.0638174` Chr`19` : `30,987,423`	0.000	0.999	0.001
rs4081724 lBF = `-0.0510164` Chr`19` : `33,824,946`	0.001	0.999	0.000
rs2017698 lBF = `0.681448` Chr`19` : `50,338,236`	0.000	0.999	0.001
rs3786800 lBF = `-0.0668199` Chr`19` : `30,990,700`	0.000	0.999	0.001
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.001	0.999	0.000
rs3810265 lBF = `-0.0001881` Chr`19` : `50,223,266`	0.000	0.999	0.000
rs3745367 lBF = `-0.104677` Chr`19` : `7,734,511`	0.001	0.999	0.000
rs55655041 lBF = `0.0723711` Chr`19` : `30,995,200`	0.000	0.999	0.001
rs72480748 lBF = `0.426605` Chr`19` : `41,414,481`	0.000	0.999	0.001
rs3987765 lBF = `-0.00285578` Chr`19` : `51,713,743`	0.001	0.999	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.001	0.999	0.000
rs56052703 lBF = `-0.0402063` Chr`19` : `13,432,940`	0.000	0.999	0.001
rs2738446 lBF = `9.38276` Chr`19` : `11,227,326`	0.001	0.999	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.001	0.999	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.001	0.999	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.001	0.999	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.001	0.999	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.000	0.999	0.000
rs11668609 lBF = `0.00990234` Chr`19` : `24,355,493`	0.000	0.999	0.000
rs185308415 lBF = `0.00037617` Chr`19` : `41,317,179`	0.000	0.999	0.000
rs7245959 lBF = `-0.0552497` Chr`19` : `31,379,109`	0.001	0.999	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.000	0.999	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.000	0.999	0.000
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rs11878604 lBF = `-0.0230731` Chr`19` : `41,333,284`	0.000	1.000	0.000
rs2014572 lBF = `-0.0262769` Chr`19` : `57,760,018`	0.000	1.000	0.000
rs2278426 lBF = `-0.0285551` Chr`19` : `11,350,488`	0.000	1.000	0.000
rs10421328 lBF = `-0.0331018` Chr`19` : `19,776,814`	0.000	1.000	0.000
rs737337 lBF = `-0.0405924` Chr`19` : `11,347,493`	0.000	1.000	0.000
rs13181 lBF = `-0.0506137` Chr`19` : `45,854,919`	0.000	1.000	0.000
rs10414149 lBF = `-0.0903832` Chr`19` : `52,127,744`	0.000	1.000	0.000
rs398426 lBF = `-0.102157` Chr`19` : `34,321,258`	0.000	1.000	0.000
rs438811 lBF = `51.3098` Chr`19` : `45,416,741`	0.000	1.000	0.000
rs6859 lBF = `25.5207` Chr`19` : `45,382,034`	0.000	1.000	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.000	1.000	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.000	1.000	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.000	1.000	0.000
rs8106664 lBF = `7.5182` Chr`19` : `10,728,030`	0.000	1.000	0.000
rs10405693 lBF = `6.62801` Chr`19` : `45,326,664`	0.000	1.000	0.000
rs45446093 lBF = `6.24022` Chr`19` : `54,756,155`	0.000	1.000	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.000	1.000	0.000
rs2241718 lBF = `5.00712` Chr`19` : `41,829,606`	0.000	1.000	0.000
rs10425559 lBF = `4.50852` Chr`19` : `4,837,487`	0.000	1.000	0.000
rs8111071 lBF = `3.8254` Chr`19` : `46,307,406`	0.000	1.000	0.000
rs62131887 lBF = `2.68819` Chr`19` : `10,587,596`	0.000	1.000	0.000
rs8108269 lBF = `1.58458` Chr`19` : `46,158,513`	0.000	1.000	0.000
rs2905424 lBF = `1.1326` Chr`19` : `19,473,445`	0.000	1.000	0.000
rs73510898 lBF = `0.622392` Chr`19` : `10,416,444`	0.000	1.000	0.000
rs11669133 lBF = `0.390843` Chr`19` : `11,092,139`	0.000	1.000	0.000
rs3745516 lBF = `0.185966` Chr`19` : `50,926,742`	0.000	1.000	0.000
rs1654260 lBF = `0.1714` Chr`19` : `20,329,111`	0.000	1.000	0.000
rs62110082 lBF = `0.123822` Chr`19` : `52,338,641`	0.000	1.000	0.000
rs4807927 lBF = `0.108342` Chr`19` : `1,423,199`	0.000	1.000	0.000
rs3764618 lBF = `0.106329` Chr`19` : `49,497,155`	0.000	1.000	0.000
rs1688043 lBF = `0.0619284` Chr`19` : `35,553,341`	0.000	1.000	0.000
rs17764205 lBF = `0.0609106` Chr`19` : `3,251,219`	0.000	1.000	0.000
rs2043599 lBF = `0.0545247` Chr`19` : `56,451,049`	0.000	1.000	0.000
rs3764628 lBF = `0.0321825` Chr`19` : `18,747,605`	0.000	1.000	0.000
rs73058052 lBF = `0.0309746` Chr`19` : `50,099,422`	0.000	1.000	0.000
rs1661178 lBF = `0.0280686` Chr`19` : `45,046,352`	0.000	1.000	0.000
rs2434422 lBF = `0.0195573` Chr`19` : `52,787,471`	0.000	1.000	0.000
rs34705275 lBF = `0.0162844` Chr`19` : `43,933,725`	0.000	1.000	0.000
rs4142248 lBF = `0.0155676` Chr`19` : `44,888,276`	0.000	1.000	0.000
rs1382358 lBF = `0.010017` Chr`19` : `13,171,424`	0.000	1.000	0.000
rs2195987 lBF = `-0.00098138` Chr`19` : `24,149,545`	0.000	1.000	0.000
rs7253363 lBF = `-0.00743829` Chr`19` : `11,682,495`	0.000	1.000	0.000
rs11671010 lBF = `-0.0129902` Chr`19` : `35,559,474`	0.000	1.000	0.000
rs4804155 lBF = `-0.0216183` Chr`19` : `11,334,295`	0.000	1.000	0.000
rs1529711 lBF = `-0.0232612` Chr`19` : `11,023,434`	0.000	1.000	0.000
rs7248888 lBF = `-0.0234267` Chr`19` : `46,974,003`	0.000	1.000	0.000
rs17699030 lBF = `-0.025464` Chr`19` : `11,330,942`	0.000	1.000	0.000
rs1654584 lBF = `-0.0255223` Chr`19` : `3,970,683`	0.000	1.000	0.000
rs2108622 lBF = `-0.0334891` Chr`19` : `15,990,431`	0.000	1.000	0.000
rs263063 lBF = `-0.0338228` Chr`19` : `5,022,604`	0.000	1.000	0.000
rs7247903 lBF = `-0.036218` Chr`19` : `41,372,475`	0.000	1.000	0.000
rs2233152 lBF = `-0.0399253` Chr`19` : `41,281,016`	0.000	1.000	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.000	1.000	0.000
rs17638629 lBF = `-0.0434049` Chr`19` : `12,225,372`	0.000	1.000	0.000
rs12986207 lBF = `-0.049548` Chr`19` : `29,903,677`	0.000	1.000	0.000
rs2163813 lBF = `-0.0532197` Chr`19` : `19,829,101`	0.000	1.000	0.000
rs7255126 lBF = `-0.0578649` Chr`19` : `56,551,608`	0.000	1.000	0.000
rs4803480 lBF = `-0.0591784` Chr`19` : `42,066,279`	0.000	1.000	0.000
rs2191566 lBF = `-0.0610774` Chr`19` : `44,511,389`	0.000	1.000	0.000
rs6509701 lBF = `-0.0618617` Chr`19` : `53,384,185`	0.000	1.000	0.000
rs6510489 lBF = `-0.0629226` Chr`19` : `35,973,289`	0.000	1.000	0.000
rs11673509 lBF = `-0.0641991` Chr`19` : `5,080,647`	0.000	1.000	0.000
rs2302063 lBF = `-0.0678337` Chr`19` : `3,150,418`	0.000	1.000	0.000
rs7260329 lBF = `-0.0683905` Chr`19` : `41,521,638`	0.000	1.000	0.000
rs10425935 lBF = `-0.076983` Chr`19` : `29,908,107`	0.000	1.000	0.000
rs1078373 lBF = `-0.0908628` Chr`19` : `31,801,130`	0.000	1.000	0.000
rs62120679 lBF = `-0.094695` Chr`19` : `2,363,319`	0.000	1.000	0.000
rs2100944 lBF = `-0.101007` Chr`19` : `8,281,635`	0.000	1.000	0.000
rs2262909 lBF = `-0.110434` Chr`19` : `22,135,270`	0.000	1.000	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.000	1.000	0.000
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.000	1.000	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.000	1.000	0.000
rs10119 lBF = `49.8817` Chr`19` : `45,406,673`	0.000	1.000	0.000
rs2287921 lBF = `22.4626` Chr`19` : `49,228,272`	0.000	1.000	0.000
rs1058205 lBF = `13.3893` Chr`19` : `51,363,398`	0.000	1.000	0.000
rs12052058 lBF = `10.6082` Chr`19` : `11,159,525`	0.000	1.000	0.000
rs1122608 lBF = `10.0379` Chr`19` : `11,163,601`	0.000	1.000	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.000	1.000	0.000
rs4804833 lBF = `8.86511` Chr`19` : `7,970,635`	0.000	1.000	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.000	1.000	0.000
rs9797861 lBF = `7.3882` Chr`19` : `10,743,126`	0.000	1.000	0.000
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.000	1.000	0.000
rs2659051 lBF = `4.31235` Chr`19` : `51,345,568`	0.000	1.000	0.000
rs10401193 lBF = `4.24901` Chr`19` : `19,591,066`	0.000	1.000	0.000
rs11671664 lBF = `3.73026` Chr`19` : `46,172,278`	0.000	1.000	0.000
rs7507912 lBF = `3.60129` Chr`19` : `46,157,916`	0.000	1.000	0.000
rs12720356 lBF = `1.81492` Chr`19` : `10,469,975`	0.000	1.000	0.000
rs10411210 lBF = `1.24033` Chr`19` : `33,532,300`	0.000	1.000	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.000	1.000	0.000
rs16986856 lBF = `0.891232` Chr`19` : `56,497,960`	0.000	1.000	0.000
rs6508941 lBF = `0.664334` Chr`19` : `41,015,965`	0.000	1.000	0.000
rs7258015 lBF = `0.420742` Chr`19` : `10,449,358`	0.000	1.000	0.000
rs7246967 lBF = `0.367199` Chr`19` : `23,056,346`	0.000	1.000	0.000
rs17695224 lBF = `0.258766` Chr`19` : `52,324,216`	0.000	1.000	0.000
rs2164983 lBF = `0.168329` Chr`19` : `8,789,381`	0.000	1.000	0.000
rs2116940 lBF = `0.15479` Chr`19` : `10,310,392`	0.000	1.000	0.000
rs2918307 lBF = `0.147061` Chr`19` : `8,789,722`	0.000	1.000	0.000
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	1.000	0.000
rs4808260 lBF = `0.0927022` Chr`19` : `20,846,271`	0.000	1.000	0.000
rs4806073 lBF = `0.0778706` Chr`19` : `35,555,190`	0.000	1.000	0.000
rs3764650 lBF = `0.0623183` Chr`19` : `1,046,520`	0.000	1.000	0.000
rs11880706 lBF = `0.0617685` Chr`19` : `6,080,482`	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

0.6996

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5616

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.5608

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5347

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9906

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9658

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9645

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9633

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9608

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9582

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9566

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9557

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9444

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9384

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9265

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9207

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9108

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9030

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9018

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8999

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8983

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8860

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8853

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8843

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8834

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8730

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8722

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8702

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8702

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8699

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8696

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8695

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8638

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8601

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8511

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8509

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8501

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8450

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8420

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8419

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8376

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8370

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8348

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8320

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8290

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8269

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8268

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8266

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8236

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8193

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8126

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8120

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8075

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8057

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8049

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8028

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8012

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7988

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7949

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7948

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7946

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7940

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7908

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7883

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7874

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7870

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7854

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7827

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7826

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7809

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7780

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7762

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7759

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7749

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7732

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7726

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7718

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7693

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7687

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7671

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7665

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7645

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7634

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7627

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7624

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7617

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7616

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7556

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7552

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7536

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7498

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7489

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7409

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7393

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7379

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7347

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7334

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7293

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7237

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7217

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7169

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7169

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7169

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7169

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7169

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7166

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7165

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7149

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7131

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7123

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7093

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7083

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7062

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7026

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6958

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.6938

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6801

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6677

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6622

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.6553

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6533

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.6420

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6352

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6161

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.6089

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6010

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.5803

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5528

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5190

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4918

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4817

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4574

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4260

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3962

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3816

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3715

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3324

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3240

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3153

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1518

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1365

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0976

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0909

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0798

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0786

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`)