TreeWAS – [I46] Cardiac arrest

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
rs10757269 lBF = `323.969` Chr`9` : `22,072,264`	0.995	0.005	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.991	0.009	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.985	0.015	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.985	0.015	0.000
rs1537370 lBF = `339.752` Chr`9` : `22,084,310`	0.975	0.025	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.974	0.026	0.000
rs4953030 lBF = `13.2993` Chr`2` : `44,112,075`	0.000	0.027	0.973
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.972	0.028	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.972	0.028	0.000
rs6475606 lBF = `331.139` Chr`9` : `22,081,850`	0.972	0.028	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.971	0.029	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.971	0.029	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.971	0.029	0.000
rs17744121 lBF = `5.69352` Chr`21` : `30,713,598`	0.969	0.031	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.968	0.032	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.967	0.033	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.966	0.034	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.966	0.034	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.963	0.037	0.000
rs7550711 lBF = `14.669` Chr`1` : `110,082,886`	0.962	0.038	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.961	0.039	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.961	0.039	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.961	0.039	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.960	0.040	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.960	0.040	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.960	0.040	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.959	0.041	0.000
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.958	0.042	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.957	0.043	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.957	0.043	0.000
rs72687906 lBF = `23.6881` Chr`1` : `113,922,269`	0.957	0.043	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.956	0.044	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.955	0.045	0.000
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	0.954	0.046	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.953	0.047	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.953	0.047	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.952	0.048	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.952	0.048	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.952	0.048	0.000
rs17024393 lBF = `12.9062` Chr`1` : `110,154,688`	0.950	0.050	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.950	0.050	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.949	0.051	0.000
rs17024258 lBF = `12.5991` Chr`1` : `110,147,321`	0.949	0.051	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.949	0.051	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.949	0.051	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.949	0.051	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.945	0.055	0.000
rs17750460 lBF = `8.95898` Chr`21` : `30,745,615`	0.944	0.056	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.943	0.057	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.943	0.057	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.943	0.057	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.941	0.059	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.941	0.059	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.940	0.060	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.939	0.061	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.938	0.062	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.938	0.062	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.937	0.063	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.936	0.064	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.936	0.064	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.935	0.065	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.934	0.066	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.933	0.067	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.933	0.067	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.932	0.068	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.932	0.068	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.931	0.069	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.931	0.069	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.931	0.069	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.931	0.069	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.930	0.070	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.930	0.070	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.929	0.071	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.929	0.071	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.929	0.071	0.000
rs2315065 lBF = `275.304` Chr`6` : `161,108,144`	0.928	0.072	0.000
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.928	0.072	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.928	0.072	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.927	0.072	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.926	0.074	0.000
rs602633 lBF = `124.913` Chr`1` : `109,821,511`	0.000	0.075	0.925
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.925	0.075	0.000
rs3731257 lBF = `90.8856` Chr`9` : `21,966,221`	0.925	0.075	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.923	0.077	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.923	0.077	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.923	0.077	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.922	0.078	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.921	0.079	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.921	0.079	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.921	0.079	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.920	0.080	0.000
rs4252185 lBF = `259.415` Chr`6` : `161,123,451`	0.919	0.081	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.919	0.081	0.000
rs3132940 lBF = `160.057` Chr`6` : `32,161,396`	0.000	0.082	0.918
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.918	0.082	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.918	0.082	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.918	0.082	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.918	0.082	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.917	0.083	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.917	0.083	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.916	0.084	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.916	0.084	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.916	0.084	0.000
rs3134603 lBF = `147.34` Chr`6` : `32,126,002`	0.000	0.085	0.915
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.912	0.088	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.912	0.088	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.912	0.088	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.911	0.089	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.911	0.089	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	0.089	0.911
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.911	0.089	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.910	0.090	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.910	0.090	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.910	0.090	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.909	0.091	0.000
rs3130287 lBF = `140.271` Chr`6` : `32,050,544`	0.000	0.091	0.909
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.908	0.092	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.908	0.092	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.908	0.092	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.908	0.092	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.908	0.092	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.906	0.094	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.905	0.095	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.904	0.096	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.903	0.097	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.903	0.097	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.903	0.097	0.000
rs3134954 lBF = `147.413` Chr`6` : `32,071,893`	0.000	0.097	0.903
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.902	0.098	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.901	0.099	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.901	0.099	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.901	0.099	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.900	0.100	0.000
rs74048198 lBF = `5.94724` Chr`11` : `2,118,282`	0.900	0.100	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.899	0.101	0.000
rs3120139 lBF = `45.6848` Chr`6` : `160,741,622`	0.898	0.102	0.000
rs3117181 lBF = `157.029` Chr`6` : `32,071,017`	0.898	0.102	0.000
rs3130342 lBF = `152.971` Chr`6` : `32,080,146`	0.000	0.102	0.898
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.897	0.103	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.897	0.103	0.000
rs3130283 lBF = `157.559` Chr`6` : `32,138,545`	0.000	0.103	0.897
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.897	0.103	0.000
rs55754459 lBF = `43.0914` Chr`6` : `161,551,176`	0.896	0.104	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.896	0.104	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.896	0.104	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.895	0.105	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.895	0.105	0.000
rs1044506 lBF = `157.763` Chr`6` : `32,172,065`	0.000	0.106	0.894
rs3134943 lBF = `147.398` Chr`6` : `32,147,761`	0.000	0.107	0.893
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.893	0.107	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.893	0.107	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.892	0.108	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.890	0.110	0.000
rs3134604 lBF = `138.673` Chr`6` : `32,122,386`	0.000	0.111	0.889
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.889	0.111	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.889	0.111	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.888	0.112	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.887	0.113	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.887	0.113	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.887	0.113	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.887	0.113	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.886	0.114	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.886	0.114	0.000
rs3130279 lBF = `158.281` Chr`6` : `32,112,626`	0.000	0.115	0.885
rs3132946 lBF = `156.439` Chr`6` : `32,190,028`	0.000	0.115	0.885
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.885	0.115	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.884	0.116	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.884	0.116	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.884	0.116	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.884	0.116	0.000
rs3117182 lBF = `136.187` Chr`6` : `32,066,819`	0.000	0.116	0.884
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.883	0.117	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.883	0.117	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.881	0.118	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.880	0.120	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.880	0.120	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.879	0.121	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.879	0.121	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.879	0.121	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.879	0.121	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.878	0.122	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.878	0.122	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.878	0.122	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.878	0.122	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.877	0.123	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.876	0.124	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.876	0.124	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.876	0.124	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.875	0.125	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.875	0.125	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.874	0.126	0.000
rs75672964 lBF = `11.0036` Chr`7` : `131,321,010`	0.874	0.126	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.874	0.126	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.874	0.126	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.874	0.126	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.874	0.126	0.000
rs117593948 lBF = `12.1272` Chr`6` : `110,245,200`	0.873	0.127	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.873	0.127	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.873	0.127	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.872	0.128	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.872	0.128	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.872	0.128	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.872	0.128	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.872	0.128	0.000
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rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.808	0.192	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.808	0.192	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.808	0.192	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.808	0.192	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.807	0.193	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.807	0.193	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.807	0.193	0.000
rs12214416 lBF = `11.1563` Chr`6` : `160,910,517`	0.000	0.193	0.807
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.806	0.194	0.000
rs11088859 lBF = `14.6883` Chr`21` : `22,689,344`	0.806	0.194	0.000
rs115244944 lBF = `18.0031` Chr`1` : `5,826,134`	0.806	0.194	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.806	0.194	0.000
rs72677908 lBF = `12.809` Chr`1` : `62,462,325`	0.806	0.194	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.806	0.194	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.805	0.195	0.000
rs2476601 lBF = `151.016` Chr`1` : `114,377,568`	0.805	0.195	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.805	0.195	0.000
rs145669774 lBF = `5.67804` Chr`3` : `185,545,502`	0.805	0.195	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.804	0.196	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.804	0.196	0.000
rs932925 lBF = `46.5123` Chr`6` : `160,719,741`	0.804	0.196	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.804	0.196	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.803	0.197	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.803	0.197	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.802	0.198	0.000
rs55927656 lBF = `6.59531` Chr`1` : `72,392,635`	0.802	0.198	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.802	0.198	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.802	0.198	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.802	0.198	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.801	0.198	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.801	0.199	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.800	0.200	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.799	0.201	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.799	0.201	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.799	0.201	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.797	0.203	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.797	0.203	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.797	0.203	0.000
rs113512172 lBF = `16.4938` Chr`21` : `32,718,685`	0.797	0.203	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.797	0.203	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.796	0.204	0.000
rs72687965 lBF = `17.5275` Chr`1` : `114,073,152`	0.795	0.205	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.794	0.206	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.794	0.206	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.794	0.206	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.793	0.207	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.793	0.207	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.793	0.207	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.793	0.207	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.793	0.207	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.792	0.208	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.792	0.208	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.792	0.208	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.790	0.210	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.790	0.210	0.000
rs74853015 lBF = `6.29916` Chr`2` : `36,865,755`	0.789	0.211	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.789	0.211	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.787	0.213	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.787	0.213	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.787	0.213	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.787	0.213	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.787	0.213	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.786	0.214	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.786	0.214	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.786	0.214	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.786	0.214	0.000
rs116152102 lBF = `12.5496` Chr`1` : `72,896,151`	0.786	0.214	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.786	0.214	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.786	0.214	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.786	0.214	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.786	0.214	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.785	0.215	0.000
rs188135659 lBF = `15.5868` Chr`3` : `19,839,062`	0.785	0.215	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.785	0.215	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.785	0.215	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.785	0.215	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.784	0.215	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.784	0.216	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.784	0.216	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.784	0.216	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.784	0.216	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.784	0.216	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.783	0.217	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.783	0.217	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.783	0.217	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.783	0.217	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.782	0.218	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.781	0.219	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.781	0.219	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.781	0.219	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.781	0.219	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.781	0.219	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.780	0.220	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.779	0.220	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.779	0.221	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.779	0.221	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6270

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5455

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.2175

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.1720

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9997

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9996

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9994

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9990

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9976

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9957

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9926

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9888

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9885

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9844

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9844

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9841

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9777

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9691

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9668

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9625

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9565

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9527

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9472

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9462

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9453

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9415

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9384

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9380

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9357

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9352

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9320

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9272

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9270

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9248

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9239

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9135

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9006

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8985

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8984

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8956

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8916

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8890

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8874

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8871

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8823

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8786

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8760

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8736

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8726

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8708

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8701

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8555

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8455

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8349

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8305

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8281

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.8180

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.8052

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8033

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7998

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7967

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7880

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7845

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7835

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7824

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7802

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7794

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7604

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7588

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7470

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7465

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7211

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7062

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6892

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6713

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6706

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6621

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6472

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.6407

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6289

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6283

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6268

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6244

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6209

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6072

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5800

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5780

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5765

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5746

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5622

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5478

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5280

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5132

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5091

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5084

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4869

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4795

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4706

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4618

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4537

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4527

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4356

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4244

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4227

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4210

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4175

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4094

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4023

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3851

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.3799

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3796

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3747

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3586

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3529

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3435

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3373

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3357

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3189

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3171

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3127

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3094

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.2944

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2914

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2892

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2791

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2758

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2743

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2625

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2553

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2489

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2483

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2481

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2443

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2442

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2315

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2309

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2278

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2264

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2202

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.2179

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2148

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2100

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1978

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1783

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1696

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1687

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1603

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1572

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1517

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1478

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1348

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1256

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0740

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0689

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0635

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.

Parent term	I30-I52 Other forms of heart disease
Nested terms	I46.0 Cardiac arrest with successful resuscitation I46.1 Sudden cardiac death, so described I46.9 Cardiac arrest, unspecified

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`)