TreeWAS – [I08.3] Combined disorders of mitral, aortic and tricuspid valves

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs2039631 lBF = `5.35076` Chr`1` : `9,068,020`	0.987	0.013	0.000
rs3002141 lBF = `11.4412` Chr`1` : `222,787,302`	0.000	0.023	0.977
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.967	0.033	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.957	0.043	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.941	0.059	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.938	0.062	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.931	0.069	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.931	0.069	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.929	0.071	0.000
rs6843082 lBF = `86.0876` Chr`4` : `111,718,067`	0.927	0.073	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.918	0.082	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.914	0.086	0.000
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	0.903	0.097	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.903	0.097	0.000
rs2200733 lBF = `66.0925` Chr`4` : `111,710,169`	0.902	0.098	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.901	0.099	0.000
rs6817105 lBF = `64.6903` Chr`4` : `111,705,768`	0.900	0.100	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.897	0.103	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.896	0.104	0.000
rs2634074 lBF = `82.5116` Chr`4` : `111,677,041`	0.000	0.104	0.896
rs17162040 lBF = `6.74453` Chr`1` : `27,883,227`	0.000	0.105	0.895
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.893	0.107	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.892	0.108	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.887	0.113	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.886	0.114	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.884	0.116	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.883	0.117	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.877	0.123	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.877	0.123	0.000
rs10490871 lBF = `6.36422` Chr`3` : `35,667,761`	0.876	0.124	0.000
rs4374681 lBF = `5.49218` Chr`4` : `1,566,164`	0.872	0.128	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.868	0.132	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.867	0.133	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.862	0.138	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.859	0.141	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.855	0.145	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.854	0.146	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.853	0.147	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.853	0.147	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.846	0.154	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.843	0.157	0.000
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.000	0.157	0.843
rs17042081 lBF = `59.9223` Chr`4` : `111,653,211`	0.843	0.157	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.841	0.159	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.840	0.160	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.839	0.161	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.838	0.162	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.835	0.165	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.834	0.166	0.000
rs1333040 lBF = `229.258` Chr`9` : `22,083,404`	0.000	0.167	0.833
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.832	0.168	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.831	0.169	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.831	0.169	0.000
rs142130958 lBF = `78.6315` Chr`19` : `11,190,652`	0.000	0.169	0.831
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.830	0.170	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.829	0.171	0.000
rs12614 lBF = `9.06097` Chr`6` : `31,914,179`	0.000	0.173	0.827
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.824	0.176	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.823	0.177	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.822	0.178	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.822	0.178	0.000
rs9313772 lBF = `18.9638` Chr`5` : `157,804,457`	0.000	0.179	0.821
rs113173951 lBF = `6.15041` Chr`1` : `27,877,418`	0.000	0.180	0.820
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.820	0.180	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.819	0.181	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.819	0.181	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.818	0.182	0.000
rs112374545 lBF = `78.2181` Chr`19` : `11,188,899`	0.000	0.187	0.813
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.813	0.187	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.812	0.188	0.000
rs12209307 lBF = `5.28684` Chr`6` : `95,418,039`	0.810	0.190	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.807	0.193	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.806	0.194	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.803	0.197	0.000
rs6511720 lBF = `79.2472` Chr`19` : `11,202,306`	0.000	0.199	0.801
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.799	0.201	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.796	0.204	0.000
rs56289821 lBF = `77.2625` Chr`19` : `11,188,247`	0.000	0.204	0.796
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.795	0.205	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.794	0.206	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.793	0.207	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.792	0.208	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.791	0.209	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.789	0.211	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.788	0.212	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.785	0.215	0.000
rs11205277 lBF = `2.49265` Chr`1` : `149,892,872`	0.784	0.216	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.782	0.218	0.000
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.782	0.218	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.781	0.219	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.781	0.219	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.781	0.219	0.000
rs181319480 lBF = `9.5655` Chr`3` : `58,793,057`	0.779	0.221	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.779	0.221	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.779	0.221	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.779	0.221	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.779	0.221	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.778	0.222	0.000
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.777	0.223	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.776	0.224	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.775	0.225	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.775	0.225	0.000
rs2936051 lBF = `12.3071` Chr`1` : `222,803,204`	0.000	0.225	0.775
rs4845953 lBF = `14.7832` Chr`1` : `10,801,989`	0.773	0.227	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.773	0.227	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.772	0.228	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.771	0.229	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.771	0.229	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.771	0.229	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.770	0.229	0.000
rs2936052 lBF = `14.2487` Chr`1` : `222,802,376`	0.000	0.231	0.769
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.769	0.231	0.000
rs72648438 lBF = `7.6831` Chr`1` : `17,923,847`	0.769	0.231	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.768	0.232	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.768	0.232	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.766	0.234	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.766	0.234	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.766	0.234	0.000
rs73405966 lBF = `1.11508` Chr`7` : `101,675,299`	0.763	0.237	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.237	0.763
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.762	0.238	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.759	0.241	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.756	0.244	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.755	0.245	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.755	0.245	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.755	0.245	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.754	0.246	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.750	0.250	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.749	0.251	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.748	0.252	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.747	0.253	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.747	0.253	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.746	0.254	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.745	0.255	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.744	0.256	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.743	0.257	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.743	0.257	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.742	0.258	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.741	0.259	0.000
rs75021220 lBF = `47.1082` Chr`4` : `111,658,394`	0.741	0.259	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.741	0.259	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.740	0.260	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.739	0.261	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.739	0.261	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.739	0.261	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.738	0.262	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.736	0.264	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.735	0.265	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.734	0.266	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.734	0.266	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.734	0.266	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.733	0.267	0.000
rs17032011 lBF = `40.5088` Chr`1` : `114,475,350`	0.732	0.268	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.730	0.270	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.729	0.271	0.000
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.728	0.272	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.727	0.273	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.725	0.275	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.725	0.275	0.000
rs2854050 lBF = `78.2612` Chr`6` : `32,185,605`	0.725	0.275	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.725	0.275	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.724	0.275	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.724	0.276	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.724	0.276	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.724	0.276	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.723	0.277	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.723	0.277	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.723	0.277	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.722	0.278	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.720	0.280	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.719	0.281	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.719	0.281	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.718	0.282	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.717	0.283	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.717	0.283	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.717	0.283	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.716	0.284	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.716	0.284	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.714	0.286	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.713	0.287	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.713	0.287	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.713	0.287	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.712	0.288	0.000
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.712	0.288	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.711	0.289	0.000
rs188135659 lBF = `15.5868` Chr`3` : `19,839,062`	0.711	0.289	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.711	0.289	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.711	0.289	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	0.290	0.710
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.710	0.290	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.710	0.290	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.709	0.291	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.709	0.291	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.708	0.292	0.000
rs56158183 lBF = `4.44665` Chr`2` : `60,632,924`	0.000	0.293	0.707
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.707	0.293	0.000
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.706	0.294	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.705	0.295	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.704	0.296	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.704	0.296	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.704	0.296	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.703	0.297	0.000
rs1024065 lBF = `10.3744` Chr`1` : `222,761,601`	0.000	0.299	0.701
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rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.610	0.390	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.610	0.390	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.610	0.390	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.609	0.391	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.609	0.391	0.000
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	0.391	0.608
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.608	0.392	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.607	0.393	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.607	0.393	0.000
rs11102516 lBF = `10.1081` Chr`1` : `113,161,350`	0.606	0.394	0.000
rs16984718 lBF = `4.60309` Chr`2` : `18,509,254`	0.606	0.394	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.606	0.394	0.000
rs7007 lBF = `7.38981` Chr`1` : `151,735,576`	0.000	0.394	0.606
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.604	0.395	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.604	0.395	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.604	0.396	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.604	0.396	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.604	0.396	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.604	0.396	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.603	0.396	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.603	0.397	0.000
rs3130617 lBF = `167.756` Chr`6` : `31,627,523`	0.000	0.397	0.603
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.602	0.398	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.602	0.398	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.602	0.398	0.000
rs2272593 lBF = `170.088` Chr`6` : `31,601,344`	0.000	0.399	0.601
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.601	0.399	0.000
rs3094216 lBF = `239.383` Chr`6` : `31,084,048`	0.600	0.400	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.600	0.400	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.599	0.400	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.598	0.401	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.598	0.402	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.598	0.402	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.598	0.402	0.000
rs12563513 lBF = `19.0633` Chr`1` : `114,547,798`	0.598	0.402	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.598	0.402	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.598	0.402	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.597	0.403	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.596	0.404	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.596	0.404	0.000
rs116155186 lBF = `6.15229` Chr`3` : `85,368,819`	0.596	0.404	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.595	0.404	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.595	0.405	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.595	0.405	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.595	0.405	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.594	0.405	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.594	0.406	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.594	0.406	0.000
rs55927656 lBF = `6.59531` Chr`1` : `72,392,635`	0.594	0.406	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.594	0.406	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.594	0.406	0.000
rs3095298 lBF = `239.113` Chr`6` : `31,082,932`	0.593	0.407	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.593	0.407	0.000
rs181741409 lBF = `4.98731` Chr`6` : `45,157,786`	0.593	0.407	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.593	0.407	0.000
rs11088859 lBF = `14.6883` Chr`21` : `22,689,344`	0.593	0.407	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.592	0.407	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.592	0.408	0.000
rs6902257 lBF = `8.36538` Chr`6` : `81,481,354`	0.592	0.408	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.591	0.409	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.591	0.409	0.000
rs115445154 lBF = `14.8843` Chr`1` : `81,921,812`	0.591	0.409	0.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	0.591	0.409	0.000
rs3094220 lBF = `239.557` Chr`6` : `31,082,987`	0.591	0.409	0.000
rs204995 lBF = `73.8651` Chr`6` : `32,154,285`	0.590	0.410	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.590	0.410	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.590	0.410	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.589	0.411	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.589	0.411	0.000
rs9359466 lBF = `16.1014` Chr`6` : `81,935,652`	0.588	0.412	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.588	0.412	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.588	0.412	0.000
rs114357381 lBF = `13.4276` Chr`1` : `217,870,257`	0.588	0.412	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.588	0.412	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.587	0.413	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.587	0.413	0.000
rs78253958 lBF = `14.8213` Chr`2` : `51,204,750`	0.587	0.413	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.586	0.414	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.586	0.414	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.585	0.414	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.585	0.414	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.585	0.415	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.585	0.415	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.585	0.415	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.585	0.415	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.584	0.416	0.000
rs34182778 lBF = `229.887` Chr`6` : `31,084,942`	0.584	0.416	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.584	0.416	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.583	0.417	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.583	0.417	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.583	0.417	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.583	0.417	0.000
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.582	0.418	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.582	0.418	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

0.9712

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3436

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1049

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9990

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9988

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9967

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9931

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9924

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9859

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9837

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9816

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9754

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9733

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9690

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9583

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9402

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.9400

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9349

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9319

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9307

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.9273

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9218

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9103

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9048

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8995

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8965

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8943

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8933

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8893

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8858

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8791

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8777

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8711

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8623

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8611

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8606

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8570

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8563

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8516

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8490

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8444

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8389

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8348

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8172

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8138

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8128

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8098

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8033

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7945

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7891

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7881

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7774

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7640

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7633

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7628

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7480

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7375

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7266

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7223

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7182

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6959

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6826

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6810

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6769

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6726

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6711

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6610

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6518

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6472

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6157

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6138

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6115

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6058

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5930

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5817

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5774

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5767

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5762

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5641

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5572

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5539

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5498

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5478

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5447

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5365

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5354

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5286

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5277

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5254

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4856

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4817

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4800

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4643

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4468

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4398

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4369

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4264

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4226

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.3881

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3783

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3638

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3594

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3585

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3575

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3453

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3363

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3031

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2838

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2705

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2608

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2475

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2464

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2424

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2080

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2079

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1867

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1845

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1792

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.1728

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1684

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1680

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1593

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1502

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1496

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1489

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1489

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1405

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1398

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1368

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1319

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1294

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1270

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1241

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1212

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1164

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1118

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1115

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1087

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1086

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1084

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1069

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1061

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0982

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0981

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0972

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0879

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0848

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0828

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0780

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0700

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0692

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0534

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0505

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)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)