TreeWAS – [I08.0] Disorders of both mitral and aortic 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
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.989	0.011	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.986	0.014	0.000
rs4845953 lBF = `14.7832` Chr`1` : `10,801,989`	0.984	0.016	0.000
rs35211576 lBF = `16.5907` Chr`6` : `127,116,727`	0.963	0.037	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.960	0.040	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.959	0.041	0.000
rs6843082 lBF = `86.0876` Chr`4` : `111,718,067`	0.958	0.042	0.000
rs13141190 lBF = `36.6768` Chr`4` : `111,728,614`	0.956	0.044	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.953	0.047	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.950	0.050	0.000
rs181319480 lBF = `9.5655` Chr`3` : `58,793,057`	0.948	0.052	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.943	0.057	0.000
rs2634074 lBF = `82.5116` Chr`4` : `111,677,041`	0.000	0.058	0.942
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.932	0.068	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.929	0.071	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.927	0.073	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.923	0.077	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.918	0.082	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.917	0.083	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.911	0.089	0.000
rs4709408 lBF = `84.0955` Chr`6` : `160,625,231`	0.911	0.089	0.000
rs2039631 lBF = `5.35076` Chr`1` : `9,068,020`	0.911	0.089	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.908	0.092	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.897	0.103	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.895	0.105	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.892	0.108	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	0.110	0.890
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.888	0.112	0.000
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.886	0.114	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.884	0.116	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.884	0.116	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.883	0.117	0.000
rs188135659 lBF = `15.5868` Chr`3` : `19,839,062`	0.882	0.118	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.881	0.119	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.880	0.120	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.878	0.122	0.000
rs17162040 lBF = `6.74453` Chr`1` : `27,883,227`	0.000	0.122	0.878
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	0.875	0.125	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.872	0.128	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.872	0.128	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.870	0.130	0.000
rs35772466 lBF = `14.85` Chr`6` : `127,141,068`	0.869	0.131	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.868	0.132	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.868	0.132	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.867	0.133	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.865	0.135	0.000
rs204993 lBF = `249.805` Chr`6` : `32,155,581`	0.865	0.135	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.865	0.135	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.865	0.135	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.862	0.138	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.861	0.139	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.861	0.139	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.860	0.140	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.859	0.141	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.859	0.141	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.857	0.143	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.857	0.143	0.000
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.857	0.143	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.857	0.143	0.000
rs17042081 lBF = `59.9223` Chr`4` : `111,653,211`	0.856	0.144	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.854	0.146	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.854	0.146	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.853	0.147	0.000
rs10490871 lBF = `6.36422` Chr`3` : `35,667,761`	0.852	0.148	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.850	0.150	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.849	0.151	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.847	0.153	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.846	0.154	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.844	0.156	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.843	0.157	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.842	0.158	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.840	0.160	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.839	0.161	0.000
rs2200733 lBF = `66.0925` Chr`4` : `111,710,169`	0.839	0.161	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.838	0.162	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.837	0.163	0.000
rs6817105 lBF = `64.6903` Chr`4` : `111,705,768`	0.837	0.163	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.837	0.163	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.836	0.164	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.836	0.164	0.000
rs75021220 lBF = `47.1082` Chr`4` : `111,658,394`	0.836	0.164	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.833	0.167	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.829	0.171	0.000
rs12614 lBF = `9.06097` Chr`6` : `31,914,179`	0.000	0.172	0.828
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.825	0.175	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.822	0.178	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.821	0.179	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.818	0.182	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.817	0.183	0.000
rs2854050 lBF = `78.2612` Chr`6` : `32,185,605`	0.815	0.185	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.812	0.188	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.812	0.188	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.810	0.190	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.807	0.193	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.807	0.193	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.807	0.193	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.806	0.194	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.806	0.194	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.804	0.196	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.804	0.196	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.804	0.196	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.804	0.196	0.000
rs9313772 lBF = `18.9638` Chr`5` : `157,804,457`	0.000	0.197	0.803
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.803	0.197	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.801	0.199	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.800	0.199	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.800	0.200	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.799	0.201	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.798	0.202	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.798	0.202	0.000
Affx-28459705 lBF = `94.4448` Chr`6` : `31,555,130`	0.000	0.203	0.797
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.796	0.204	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.795	0.205	0.000
rs505922 lBF = `162.562` Chr`9` : `136,149,229`	0.794	0.206	0.000
rs10514718 lBF = `1.82647` Chr`3` : `61,413,814`	0.794	0.206	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.793	0.207	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.791	0.209	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.790	0.209	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.790	0.210	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.789	0.211	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.789	0.211	0.000
rs41272114 lBF = `9.8013` Chr`6` : `161,006,077`	0.000	0.212	0.788
rs4252185 lBF = `259.415` Chr`6` : `161,123,451`	0.787	0.213	0.000
rs1333040 lBF = `229.258` Chr`9` : `22,083,404`	0.000	0.213	0.787
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.785	0.215	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.784	0.216	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.784	0.216	0.000
rs2936051 lBF = `12.3071` Chr`1` : `222,803,204`	0.000	0.216	0.784
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.783	0.217	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.782	0.218	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.782	0.218	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.781	0.219	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.780	0.220	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.780	0.220	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.780	0.220	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.776	0.224	0.000
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.776	0.224	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.776	0.224	0.000
rs73405966 lBF = `1.11508` Chr`7` : `101,675,299`	0.775	0.225	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.775	0.225	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.774	0.226	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.773	0.227	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.772	0.228	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.771	0.229	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.770	0.230	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.766	0.234	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.765	0.235	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.765	0.235	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.762	0.238	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.762	0.238	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.761	0.238	0.000
rs2936052 lBF = `14.2487` Chr`1` : `222,802,376`	0.000	0.239	0.761
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.761	0.239	0.000
rs114712131 lBF = `14.8334` Chr`1` : `73,192,263`	0.761	0.239	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.761	0.239	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.760	0.240	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.759	0.241	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.759	0.241	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.758	0.242	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.757	0.243	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.757	0.243	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.756	0.244	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.755	0.245	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.755	0.245	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.754	0.246	0.000
rs12209307 lBF = `5.28684` Chr`6` : `95,418,039`	0.753	0.247	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.752	0.248	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.752	0.248	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.751	0.249	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.749	0.251	0.000
rs514659 lBF = `140.82` Chr`9` : `136,142,203`	0.749	0.251	0.000
rs8192575 lBF = `77.0171` Chr`6` : `32,166,384`	0.749	0.251	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.748	0.252	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.747	0.253	0.000
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.746	0.254	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.746	0.254	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.745	0.254	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.745	0.255	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.745	0.255	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.745	0.255	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.744	0.256	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.744	0.256	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.744	0.256	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.744	0.256	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.743	0.257	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.743	0.257	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.742	0.258	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.742	0.258	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.742	0.258	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.741	0.259	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.741	0.259	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.741	0.259	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.740	0.260	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.740	0.260	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.740	0.260	0.000
rs113173951 lBF = `6.15041` Chr`1` : `27,877,418`	0.000	0.260	0.740
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.739	0.261	0.000
rs16984718 lBF = `4.60309` Chr`2` : `18,509,254`	0.739	0.261	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.738	0.262	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.736	0.264	0.000
rs2555469 lBF = `76.5082` Chr`6` : `32,179,494`	0.735	0.265	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.734	0.266	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.734	0.266	0.000
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Affx-21291542 lBF = `12.1623` Chr`3` : `141,344,672`	0.729	0.271	0.000
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rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.727	0.273	0.000
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rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.627	0.373	0.000
rs114995475 lBF = `14.7357` Chr`6` : `52,453,912`	0.626	0.373	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.626	0.373	0.000
rs72753808 lBF = `20.4495` Chr`1` : `204,517,487`	0.626	0.374	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.626	0.374	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.625	0.375	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.625	0.375	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.623	0.377	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.623	0.377	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.622	0.378	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.622	0.378	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.622	0.378	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.622	0.378	0.000
rs3130542 lBF = `49.3182` Chr`6` : `31,232,111`	0.000	0.378	0.622
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.622	0.378	0.000
rs1046080 lBF = `173.349` Chr`6` : `31,595,882`	0.000	0.378	0.622
rs657152 lBF = `149.847` Chr`9` : `136,139,265`	0.622	0.378	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.621	0.379	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.621	0.379	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.621	0.379	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.620	0.380	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.620	0.380	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.620	0.380	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.620	0.380	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.620	0.380	0.000
rs6511720 lBF = `79.2472` Chr`19` : `11,202,306`	0.000	0.380	0.620
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.620	0.380	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.619	0.381	0.000
rs2272593 lBF = `170.088` Chr`6` : `31,601,344`	0.000	0.381	0.619
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.619	0.381	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.618	0.382	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.618	0.382	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.618	0.382	0.000
rs2844520 lBF = `24.6949` Chr`6` : `31,407,758`	0.000	0.383	0.617
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.616	0.384	0.000
rs73045695 lBF = `7.26665` Chr`3` : `177,547,836`	0.616	0.384	0.000
rs56158183 lBF = `4.44665` Chr`2` : `60,632,924`	0.000	0.384	0.615
rs75672964 lBF = `11.0036` Chr`7` : `131,321,010`	0.615	0.385	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.614	0.386	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.614	0.386	0.000
rs7275212 lBF = `2.94756` Chr`21` : `39,852,551`	0.614	0.386	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.613	0.387	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.613	0.387	0.000
rs17750460 lBF = `8.95898` Chr`21` : `30,745,615`	0.613	0.387	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.612	0.388	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.612	0.388	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.611	0.389	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.610	0.390	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.610	0.390	0.000
rs114164869 lBF = `6.47754` Chr`2` : `22,613,679`	0.610	0.390	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.610	0.390	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.609	0.391	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.609	0.391	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.608	0.392	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.608	0.392	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.608	0.392	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.608	0.392	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.608	0.392	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.607	0.393	0.000
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.607	0.393	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.606	0.394	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.606	0.394	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.606	0.394	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.606	0.394	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.605	0.395	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.605	0.395	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.605	0.395	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.604	0.396	0.000
rs17791975 lBF = `7.13706` Chr`3` : `85,118,035`	0.604	0.396	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.604	0.396	0.000
rs204994 lBF = `75.1027` Chr`6` : `32,154,998`	0.603	0.397	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.603	0.397	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.602	0.398	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.602	0.398	0.000
rs181741409 lBF = `4.98731` Chr`6` : `45,157,786`	0.601	0.399	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.601	0.399	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.600	0.399	0.000
rs11102516 lBF = `10.1081` Chr`1` : `113,161,350`	0.600	0.400	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.600	0.400	0.000
rs13210382 lBF = `7.7697` Chr`6` : `18,326,873`	0.600	0.400	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.600	0.400	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.599	0.401	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.599	0.401	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.599	0.401	0.000
rs12563513 lBF = `19.0633` Chr`1` : `114,547,798`	0.599	0.401	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.598	0.401	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.598	0.402	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.598	0.402	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.598	0.402	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.598	0.402	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.598	0.402	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.597	0.403	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.596	0.404	0.000
rs1109771 lBF = `113.955` Chr`6` : `32,187,605`	0.000	0.404	0.596
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.595	0.405	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

0.9573

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4300

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0548

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9993

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9953

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9910

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9883

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9867

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9811

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9713

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9699

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9696

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.9677

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9626

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9616

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9593

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.9578

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9578

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9546

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9541

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9529

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9473

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9461

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9439

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9214

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9162

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9139

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8983

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8872

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8868

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8796

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8774

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8721

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8678

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8666

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8653

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8620

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8544

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8454

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8423

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8379

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8371

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.8312

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8306

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8298

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8264

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8180

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8030

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7985

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7951

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7939

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7713

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7598

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7535

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7526

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7505

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7446

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7396

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7355

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7282

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7274

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6988

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6950

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6912

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6867

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6785

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6776

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6768

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6705

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6662

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6630

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6546

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6498

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6449

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6348

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6303

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6282

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6267

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6264

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5993

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5886

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.5834

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5799

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5695

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5642

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5097

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5075

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5062

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4680

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4647

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4573

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4541

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4244

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4160

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4073

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3806

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3603

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3359

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3290

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3145

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2929

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2856

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2790

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2782

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2606

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2468

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2430

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2399

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2351

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2311

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2195

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2083

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2063

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2013

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1958

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1934

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1885

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1813

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1809

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1642

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1641

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1480

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1461

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1370

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1305

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1278

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1253

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1079

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1009

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0963

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0940

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0846

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0831

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0782

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0760

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0737

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0689

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0681

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0679

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0534

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0522

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0508

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`)