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
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.923	0.077	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.913	0.087	0.000
rs4374681 lBF = `5.49218` Chr`4` : `1,566,164`	0.899	0.101	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	0.113	0.887
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.886	0.114	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.884	0.116	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.863	0.137	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.856	0.144	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.854	0.146	0.000
rs12570824 lBF = `7.11255` Chr`10` : `65,730,654`	0.853	0.147	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.852	0.148	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.851	0.149	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.848	0.152	0.000
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.845	0.155	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.838	0.162	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.835	0.165	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.830	0.170	0.000
rs6693017 lBF = `1.88725` Chr`1` : `220,977,333`	0.830	0.170	0.000
rs13210382 lBF = `7.7697` Chr`6` : `18,326,873`	0.828	0.171	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.827	0.173	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.825	0.175	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.825	0.175	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.824	0.176	0.000
rs35835288 lBF = `5.23314` Chr`1` : `222,982,059`	0.823	0.177	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.822	0.178	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.819	0.181	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.819	0.181	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.818	0.182	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.818	0.182	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.817	0.183	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.817	0.183	0.000
rs77170649 lBF = `7.49398` Chr`6` : `135,010,546`	0.816	0.184	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.816	0.184	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.816	0.184	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.816	0.184	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.815	0.185	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.814	0.186	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.813	0.187	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.812	0.188	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.811	0.189	0.000
rs17162040 lBF = `6.74453` Chr`1` : `27,883,227`	0.000	0.189	0.811
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.807	0.193	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.805	0.194	0.000
rs116989098 lBF = `17.9744` Chr`6` : `161,777,500`	0.805	0.195	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.804	0.196	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.803	0.197	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.803	0.197	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.803	0.197	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.802	0.197	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.802	0.198	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.801	0.199	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.799	0.201	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.797	0.202	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.797	0.203	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.797	0.203	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.796	0.204	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.796	0.204	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.796	0.204	0.000
rs2238151 lBF = `27.2496` Chr`12` : `112,211,833`	0.000	0.205	0.795
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.794	0.206	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.794	0.206	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.794	0.206	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.794	0.206	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.793	0.207	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.793	0.207	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.791	0.209	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.791	0.209	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.791	0.209	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.791	0.209	0.000
rs113173951 lBF = `6.15041` Chr`1` : `27,877,418`	0.000	0.209	0.791
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.789	0.211	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.788	0.212	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.788	0.212	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.787	0.213	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.787	0.213	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.787	0.213	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.786	0.213	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.786	0.214	0.000
rs62445717 lBF = `5.47231` Chr`7` : `52,371,416`	0.786	0.214	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.784	0.216	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.784	0.216	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.782	0.218	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.782	0.218	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.782	0.218	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.782	0.218	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.782	0.218	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.781	0.219	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.781	0.219	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.781	0.219	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.780	0.220	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.780	0.220	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.780	0.220	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.780	0.220	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.780	0.220	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.780	0.220	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.780	0.220	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.779	0.221	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.779	0.221	0.000
rs62242686 lBF = `11.9408` Chr`3` : `38,349,391`	0.778	0.222	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.778	0.222	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.778	0.222	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.778	0.222	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.777	0.223	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.777	0.223	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.777	0.223	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.777	0.223	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.777	0.223	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.776	0.224	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.776	0.224	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.775	0.225	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.775	0.225	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.774	0.226	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.774	0.226	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.773	0.227	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.773	0.227	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.772	0.228	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.772	0.228	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.772	0.228	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.772	0.228	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.771	0.229	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.770	0.230	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.770	0.230	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.769	0.231	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.769	0.231	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.769	0.231	0.000
rs13185878 lBF = `9.20221` Chr`5` : `127,962,298`	0.768	0.231	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.768	0.232	0.000
rs294914 lBF = `3.44115` Chr`6` : `159,629,045`	0.000	0.232	0.768
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.768	0.232	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.767	0.233	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.767	0.233	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.767	0.233	0.000
rs17744121 lBF = `5.69352` Chr`21` : `30,713,598`	0.767	0.233	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.767	0.233	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.766	0.234	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.766	0.234	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.766	0.234	0.000
rs17650401 lBF = `1.7716` Chr`4` : `24,375,833`	0.000	0.234	0.766
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.765	0.235	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.765	0.235	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.764	0.236	0.000
rs73008782 lBF = `8.48892` Chr`6` : `145,689,914`	0.764	0.236	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.764	0.236	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.763	0.236	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.763	0.237	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.763	0.237	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.763	0.237	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.763	0.237	0.000
rs112556867 lBF = `13.232` Chr`6` : `92,572,325`	0.763	0.237	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.763	0.237	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.238	0.762
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.760	0.240	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.760	0.240	0.000
rs368331 lBF = `1.10684` Chr`7` : `21,742,974`	0.759	0.241	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.759	0.241	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.758	0.241	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.758	0.242	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.758	0.242	0.000
rs13141190 lBF = `36.6768` Chr`4` : `111,728,614`	0.758	0.242	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.758	0.242	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.757	0.243	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.757	0.243	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.757	0.243	0.000
rs182946095 lBF = `14.8151` Chr`6` : `167,730,166`	0.757	0.243	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.757	0.243	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.757	0.243	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.756	0.244	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.756	0.244	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.756	0.244	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.756	0.244	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.756	0.244	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.755	0.245	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.754	0.246	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.754	0.246	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.754	0.246	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.754	0.246	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.753	0.247	0.000
rs79215950 lBF = `8.20907` Chr`7` : `35,277,067`	0.000	0.247	0.753
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.752	0.248	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.751	0.249	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.751	0.249	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.751	0.249	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.751	0.249	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.750	0.250	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.750	0.250	0.000
rs6900627 lBF = `6.58124` Chr`6` : `22,570,245`	0.750	0.250	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.750	0.250	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.750	0.250	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.750	0.250	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.748	0.252	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.748	0.252	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.747	0.253	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.747	0.253	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.747	0.253	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.746	0.254	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.746	0.254	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.745	0.255	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.745	0.255	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.745	0.255	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.745	0.255	0.000
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rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.717	0.283	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.717	0.283	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.717	0.283	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.717	0.283	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.717	0.283	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.717	0.283	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.717	0.283	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.717	0.283	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.717	0.283	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.717	0.283	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.717	0.283	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.717	0.283	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.717	0.283	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.717	0.283	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.717	0.283	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.717	0.283	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.717	0.283	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.717	0.283	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.717	0.283	0.000
rs1081575 lBF = `12.1523` Chr`3` : `101,624,854`	0.717	0.283	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.717	0.283	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.717	0.283	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.717	0.283	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.717	0.283	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.717	0.283	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.717	0.283	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.717	0.283	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.717	0.283	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.717	0.283	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.717	0.283	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.717	0.283	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.717	0.283	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.717	0.283	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.717	0.283	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.717	0.283	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.717	0.283	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.717	0.283	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.717	0.283	0.000
rs6934690 lBF = `14.5953` Chr`6` : `54,054,686`	0.717	0.283	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.717	0.283	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.717	0.283	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.717	0.283	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.717	0.283	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.717	0.283	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.717	0.283	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.717	0.283	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.717	0.283	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.717	0.283	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.717	0.283	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.717	0.283	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.717	0.283	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.717	0.283	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.717	0.283	0.000
rs74582590 lBF = `11.9581` Chr`1` : `240,137,386`	0.717	0.283	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.717	0.283	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.717	0.283	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.717	0.283	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.717	0.283	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.717	0.283	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.717	0.283	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.717	0.283	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.717	0.283	0.000
rs188135659 lBF = `15.5868` Chr`3` : `19,839,062`	0.717	0.283	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.717	0.283	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.717	0.283	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.717	0.283	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.717	0.283	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.717	0.283	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.717	0.283	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.717	0.283	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.717	0.283	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.717	0.283	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.717	0.283	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.717	0.283	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.717	0.283	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.717	0.283	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.717	0.283	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.717	0.283	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.717	0.283	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.717	0.283	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.717	0.283	0.000
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.717	0.283	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.717	0.283	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.717	0.283	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.717	0.283	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.717	0.283	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.716	0.283	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.716	0.283	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.716	0.283	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.716	0.283	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.716	0.283	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.716	0.283	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.716	0.283	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.716	0.283	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.716	0.283	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.716	0.283	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.716	0.283	0.000
rs55927656 lBF = `6.59531` Chr`1` : `72,392,635`	0.716	0.283	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.716	0.283	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 X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0109

log Bayes Factor = 257.685

contains 11 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 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 X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 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`)