TreeWAS – [I35] Nonrheumatic aortic valve disorders

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I35

Nonrheumatic aortic valve disorders

Parent term	I30-I52 Other forms of heart disease
Nested terms	I35.0 Aortic (valve) stenosis I35.1 Aortic (valve) insufficiency I35.2 Aortic (valve) stenosis with insufficiency I35.8 Other aortic valve disorders I35.9 Aortic 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
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	1.000	0.000	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	1.000	0.000	0.000
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	1.000	0.000	0.000
rs2315065 lBF = `275.304` Chr`6` : `161,108,144`	1.000	0.000	0.000
rs4252185 lBF = `259.415` Chr`6` : `161,123,451`	1.000	0.000	0.000
rs10490871 lBF = `6.36422` Chr`3` : `35,667,761`	1.000	0.000	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	1.000	0.000	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	1.000	0.000	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	1.000	0.000	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	1.000	0.000	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	1.000	0.000	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	1.000	0.000	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.999	0.001	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	0.001	0.999
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.999	0.001	0.000
rs7543130 lBF = `8.06962` Chr`1` : `100,049,785`	0.000	0.001	0.999
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.999	0.001	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.998	0.002	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	0.002	0.998
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.998	0.002	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.998	0.002	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.997	0.003	0.000
rs3134603 lBF = `147.34` Chr`6` : `32,126,002`	0.000	0.003	0.997
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.996	0.004	0.000
rs73099187 lBF = `9.66779` Chr`7` : `35,291,491`	0.000	0.004	0.996
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.996	0.004	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.996	0.004	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.996	0.004	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.995	0.005	0.000
rs3130279 lBF = `158.281` Chr`6` : `32,112,626`	0.000	0.005	0.995
rs3117182 lBF = `136.187` Chr`6` : `32,066,819`	0.000	0.005	0.995
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.994	0.006	0.000
rs3117181 lBF = `157.029` Chr`6` : `32,071,017`	0.994	0.006	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.994	0.006	0.000
rs3134954 lBF = `147.413` Chr`6` : `32,071,893`	0.000	0.006	0.994
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.994	0.006	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.993	0.007	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.993	0.007	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.993	0.007	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.993	0.007	0.000
rs3130342 lBF = `152.971` Chr`6` : `32,080,146`	0.000	0.008	0.992
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.992	0.008	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.992	0.008	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.991	0.009	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.991	0.009	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.991	0.009	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.991	0.009	0.000
rs3130283 lBF = `157.559` Chr`6` : `32,138,545`	0.000	0.009	0.991
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.990	0.010	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.990	0.010	0.000
rs112049532 lBF = `8.33656` Chr`18` : `11,234,574`	0.000	0.010	0.990
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.990	0.010	0.000
rs3134604 lBF = `138.673` Chr`6` : `32,122,386`	0.000	0.010	0.990
rs79215950 lBF = `8.20907` Chr`7` : `35,277,067`	0.000	0.010	0.990
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.989	0.011	0.000
rs77009508 lBF = `13.9319` Chr`6` : `161,004,972`	0.000	0.011	0.989
rs602633 lBF = `124.913` Chr`1` : `109,821,511`	0.000	0.012	0.988
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.988	0.012	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.988	0.012	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.988	0.012	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.988	0.012	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.987	0.013	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.986	0.014	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.986	0.014	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.985	0.015	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.985	0.015	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.984	0.016	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.984	0.016	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.984	0.016	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.984	0.016	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.984	0.016	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.984	0.016	0.000
rs3130287 lBF = `140.271` Chr`6` : `32,050,544`	0.000	0.017	0.983
rs2215614 lBF = `7.56312` Chr`7` : `35,277,093`	0.000	0.017	0.983
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.983	0.017	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.983	0.017	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.983	0.017	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.983	0.017	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.982	0.018	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.982	0.018	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.982	0.018	0.000
rs4450776 lBF = `1.99273` Chr`3` : `111,423,129`	0.981	0.019	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.981	0.019	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.980	0.020	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.980	0.020	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.980	0.020	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.980	0.020	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.980	0.020	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.979	0.021	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.979	0.021	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.978	0.022	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.978	0.022	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.978	0.022	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.978	0.022	0.000
rs3131283 lBF = `148.813` Chr`6` : `32,119,898`	0.000	0.022	0.978
rs3120139 lBF = `45.6848` Chr`6` : `160,741,622`	0.978	0.022	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.977	0.023	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.976	0.024	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.976	0.024	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.976	0.024	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.976	0.024	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.976	0.024	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.975	0.025	0.000
rs17628203 lBF = `26.8212` Chr`6` : `161,682,569`	0.974	0.026	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.974	0.026	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.974	0.026	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.974	0.026	0.000
rs41265930 lBF = `11.9369` Chr`6` : `160,964,135`	0.000	0.026	0.974
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.973	0.027	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.973	0.027	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.973	0.027	0.000
rs55754459 lBF = `43.0914` Chr`6` : `161,551,176`	0.973	0.027	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.972	0.028	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.972	0.028	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.972	0.028	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.971	0.029	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.971	0.029	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.970	0.030	0.000
rs6693017 lBF = `1.88725` Chr`1` : `220,977,333`	0.970	0.030	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.969	0.031	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.969	0.031	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.969	0.031	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.968	0.032	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.968	0.032	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.968	0.032	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.967	0.033	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.967	0.033	0.000
rs61129840 lBF = `17.9422` Chr`3` : `16,363,529`	0.967	0.033	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.966	0.034	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.966	0.034	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.966	0.034	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.965	0.035	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.965	0.035	0.000
rs1044506 lBF = `157.763` Chr`6` : `32,172,065`	0.000	0.036	0.964
rs116152102 lBF = `12.5496` Chr`1` : `72,896,151`	0.964	0.036	0.000
rs3132940 lBF = `160.057` Chr`6` : `32,161,396`	0.000	0.036	0.964
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.963	0.037	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.963	0.037	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.962	0.038	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.962	0.038	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.962	0.038	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.962	0.038	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.961	0.039	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.960	0.040	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.960	0.040	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.960	0.040	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.960	0.040	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.960	0.040	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.959	0.041	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.959	0.041	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.959	0.041	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.959	0.041	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.959	0.041	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.959	0.041	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.958	0.042	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.958	0.042	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.957	0.043	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.957	0.043	0.000
rs629001 lBF = `14.3666` Chr`1` : `109,838,918`	0.000	0.043	0.957
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.957	0.043	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.956	0.044	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.956	0.044	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.956	0.044	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.956	0.044	0.000
rs3134943 lBF = `147.398` Chr`6` : `32,147,761`	0.000	0.044	0.956
rs3132946 lBF = `156.439` Chr`6` : `32,190,028`	0.000	0.045	0.955
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.954	0.046	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.954	0.046	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.954	0.046	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.954	0.046	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.954	0.046	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.954	0.046	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.954	0.046	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.953	0.047	0.000
rs3103933 lBF = `1.66865` Chr`3` : `195,485,440`	0.000	0.047	0.953
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.951	0.049	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.951	0.049	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.950	0.050	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.950	0.050	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.950	0.050	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.950	0.050	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.950	0.050	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.950	0.050	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.950	0.050	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.950	0.050	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.949	0.051	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.949	0.051	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.949	0.051	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.949	0.051	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.948	0.052	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.948	0.052	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.948	0.052	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.947	0.053	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.946	0.054	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.946	0.054	0.000
rs72753808 lBF = `20.4495` Chr`1` : `204,517,487`	0.946	0.054	0.000
rs1800684 lBF = `146.577` Chr`6` : `32,151,994`	0.000	0.055	0.945
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.944	0.056	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.943	0.057	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.942	0.058	0.000
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rs12069385 lBF = `5.15863` Chr`1` : `35,779,988`	0.877	0.123	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.877	0.123	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.877	0.123	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.877	0.123	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.876	0.124	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.876	0.124	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.875	0.125	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.875	0.125	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.875	0.125	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.875	0.125	0.000
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.874	0.126	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.873	0.127	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.873	0.127	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.873	0.127	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.871	0.128	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.871	0.129	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.871	0.129	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.870	0.130	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.869	0.131	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.868	0.132	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.868	0.132	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.868	0.132	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.868	0.132	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.867	0.133	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.867	0.133	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.867	0.133	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.867	0.133	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.867	0.133	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.867	0.133	0.000
rs115445154 lBF = `14.8843` Chr`1` : `81,921,812`	0.867	0.133	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.867	0.133	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.866	0.134	0.000
rs2857709 lBF = `104.056` Chr`6` : `31,532,814`	0.000	0.134	0.866
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.865	0.135	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.865	0.135	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.865	0.135	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.865	0.135	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.864	0.136	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.864	0.136	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.864	0.136	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.864	0.136	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.863	0.137	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.863	0.137	0.000
rs4374681 lBF = `5.49218` Chr`4` : `1,566,164`	0.863	0.137	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.863	0.137	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.862	0.138	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.862	0.138	0.000
rs4709408 lBF = `84.0955` Chr`6` : `160,625,231`	0.862	0.138	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.861	0.139	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.860	0.140	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.860	0.140	0.000
rs2736177 lBF = `114.154` Chr`6` : `31,586,094`	0.000	0.140	0.860
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.860	0.140	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.859	0.141	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.858	0.142	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.857	0.143	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.857	0.143	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.857	0.143	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.856	0.144	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.856	0.144	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.856	0.144	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.855	0.145	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.855	0.145	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.855	0.145	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.855	0.145	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.854	0.146	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.854	0.146	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.854	0.146	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.853	0.147	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.853	0.147	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.853	0.147	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.853	0.147	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.852	0.148	0.000
rs76681384 lBF = `14.081` Chr`1` : `231,134,798`	0.852	0.148	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.852	0.148	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.852	0.148	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.852	0.148	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	0.148	0.852
rs35556400 lBF = `5.60225` Chr`1` : `95,916,885`	0.000	0.148	0.852
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.851	0.149	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.851	0.149	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.851	0.149	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.851	0.149	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.850	0.150	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.850	0.150	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.849	0.151	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.849	0.151	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.849	0.151	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.849	0.151	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.849	0.151	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.848	0.152	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.848	0.152	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.848	0.152	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.847	0.153	0.000
rs2071288 lBF = `1.86709` Chr`6` : `32,149,260`	0.846	0.154	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.846	0.154	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.846	0.154	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.846	0.154	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.846	0.154	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.845	0.155	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 X0112

log Bayes Factor = 98.8923

contains 7 variants

1.0000

Cluster X0096

log Bayes Factor = 8.06962

contains 1 variants

0.9989

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.6725

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1630

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1367

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

1.0000

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

1.0000

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

1.0000

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

1.0000

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

1.0000

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

1.0000

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

1.0000

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9999

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9997

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9997

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9997

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9996

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9996

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9996

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9994

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9992

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9986

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9986

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9984

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9984

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9984

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9978

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9977

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9977

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9972

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9971

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9970

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9968

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9955

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9948

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9942

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9928

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9919

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9894

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9861

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9856

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9830

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9817

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9809

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9783

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9767

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9767

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9639

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9596

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9523

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9508

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9491

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9485

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9402

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9346

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9304

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9218

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9194

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9174

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9153

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9054

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9050

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8998

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8944

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8878

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8873

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8696

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8665

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8606

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8604

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8531

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8484

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8178

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8109

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7969

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7855

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7835

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7757

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7664

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7660

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7649

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7490

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7346

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7295

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7225

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7215

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6977

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6956

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6806

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6790

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6417

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6285

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6273

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6167

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6038

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5994

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5887

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5516

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5312

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5136

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5025

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4987

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4875

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4746

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4720

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4681

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4669

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4646

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4520

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4422

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4255

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4211

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4079

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3850

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.3751

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3697

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3315

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3102

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2941

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2924

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2763

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2307

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2281

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2198

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2173

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2166

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1726

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1708

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.1611

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1511

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1379

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1341

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1292

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1241

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1123

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1061

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1038

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0988

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.0968

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0963

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0958

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0893

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0733

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0725

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0708

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0617

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`)