TreeWAS – [R01] Cardiac murmurs and other cardiac sounds

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R01

Cardiac murmurs and other cardiac sounds

Parent term	R00-R09 Symptoms and signs involving the circulatory and respiratory systems
Nested terms	R01.0 Benign and innocent cardiac murmurs R01.1 Cardiac murmur, unspecified R01.2 Other cardiac sounds

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Variant effects

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

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.884	0.116	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.843	0.157	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.836	0.164	0.000
rs77436432 lBF = `9.8446` Chr`11` : `46,958,250`	0.815	0.185	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.808	0.192	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.780	0.219	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.777	0.223	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.775	0.225	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.765	0.235	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.758	0.242	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.755	0.245	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.746	0.254	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.736	0.264	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.726	0.274	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.718	0.282	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.717	0.283	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.715	0.285	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.690	0.310	0.000
rs74899442 lBF = `9.66177` Chr`11` : `115,890,279`	0.675	0.325	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.664	0.336	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.649	0.351	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.636	0.364	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.635	0.365	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.634	0.366	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.617	0.382	0.000
rs1938679 lBF = `5.35321` Chr`11` : `69,272,096`	0.599	0.401	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.599	0.401	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.593	0.407	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.589	0.411	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.587	0.413	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.576	0.424	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.575	0.424	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.575	0.425	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.574	0.425	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.574	0.426	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.574	0.426	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.570	0.430	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.569	0.430	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.566	0.434	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.565	0.434	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.563	0.437	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.555	0.445	0.000
rs34454471 lBF = `18.9993` Chr`11` : `64,607,670`	0.553	0.447	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.534	0.466	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.531	0.469	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.531	0.469	0.000
rs139961185 lBF = `5.63342` Chr`11` : `116,807,343`	0.528	0.472	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.521	0.479	0.000
rs78760219 lBF = `17.3142` Chr`11` : `76,981,122`	0.515	0.485	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.514	0.485	0.000
rs12807873 lBF = `2.43861` Chr`11` : `105,626,622`	0.502	0.497	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.491	0.509	0.000
rs72981516 lBF = `0.884191` Chr`11` : `72,670,900`	0.479	0.521	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.475	0.525	0.000
rs12222221 lBF = `8.0928` Chr`11` : `49,488,707`	0.468	0.531	0.000
rs1784499 lBF = `0.557653` Chr`11` : `73,359,236`	0.466	0.534	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.460	0.540	0.000
rs188954228 lBF = `4.76675` Chr`11` : `64,682,925`	0.441	0.558	0.000
rs1514092 lBF = `0.826939` Chr`11` : `22,525,354`	0.431	0.568	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.427	0.573	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.426	0.573	0.001
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.397	0.603	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.396	0.603	0.000
rs4757833 lBF = `0.739549` Chr`11` : `19,663,278`	0.395	0.604	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.375	0.625	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.364	0.636	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.363	0.637	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.354	0.646	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.350	0.650	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.342	0.658	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.330	0.670	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.323	0.677	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.322	0.678	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.315	0.685	0.001
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.264	0.735	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.264	0.736	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.257	0.743	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.256	0.744	0.000
rs11216131 lBF = `3.37882` Chr`11` : `116,633,580`	0.224	0.776	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.217	0.783	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.216	0.784	0.000
rs372091 lBF = `0.370055` Chr`11` : `5,518,156`	0.000	0.788	0.212
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.194	0.806	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.193	0.807	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.188	0.812	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.175	0.825	0.000
rs139659694 lBF = `6.68133` Chr`11` : `51,108,240`	0.173	0.827	0.000
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.163	0.837	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.162	0.838	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.156	0.844	0.000
rs117907111 lBF = `10.1965` Chr`11` : `85,235,298`	0.152	0.847	0.000
rs58603829 lBF = `0.164339` Chr`11` : `117,851,052`	0.137	0.863	0.000
rs190164515 lBF = `1.50429` Chr`11` : `71,524,177`	0.130	0.870	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.127	0.873	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.121	0.879	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.118	0.882	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.115	0.885	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.112	0.888	0.000
rs188188267 lBF = `0.126367` Chr`11` : `10,972,850`	0.111	0.888	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.106	0.894	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.101	0.899	0.000
rs16932455 lBF = `11.1027` Chr`11` : `16,040,175`	0.098	0.902	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.083	0.917	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.076	0.924	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.074	0.926	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.071	0.929	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.070	0.930	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.069	0.931	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.062	0.938	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.061	0.939	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.056	0.944	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.056	0.944	0.000
rs114332009 lBF = `0.0542517` Chr`11` : `12,091,007`	0.055	0.944	0.000
rs72850953 lBF = `8.10331` Chr`11` : `1,771,871`	0.053	0.947	0.000
rs10501157 lBF = `0.0662914` Chr`11` : `36,506,869`	0.052	0.948	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.048	0.952	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.046	0.954	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.045	0.954	0.000
rs77622929 lBF = `6.08434` Chr`11` : `50,634,946`	0.045	0.955	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.044	0.956	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.044	0.956	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.044	0.956	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.042	0.958	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.041	0.958	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.041	0.959	0.000
rs11019935 lBF = `2.26067` Chr`11` : `88,174,968`	0.039	0.961	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.038	0.961	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.038	0.962	0.000
rs174574 lBF = `5.04789` Chr`11` : `61,600,342`	0.037	0.963	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.036	0.964	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.036	0.964	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.035	0.965	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.035	0.965	0.000
rs102275 lBF = `5.13532` Chr`11` : `61,557,803`	0.000	0.968	0.032
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.031	0.968	0.000
rs66714249 lBF = `0.0490168` Chr`11` : `7,400,566`	0.031	0.968	0.000
rs7940423 lBF = `2.47688` Chr`11` : `11,504,228`	0.031	0.969	0.001
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.031	0.969	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.030	0.970	0.000
rs4246215 lBF = `3.48466` Chr`11` : `61,564,299`	0.000	0.971	0.029
rs174575 lBF = `2.06497` Chr`11` : `61,602,003`	0.000	0.972	0.028
rs174541 lBF = `3.76991` Chr`11` : `61,565,908`	0.000	0.973	0.027
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.027	0.973	0.000
rs2213169 lBF = `0.0216854` Chr`11` : `5,303,063`	0.026	0.974	0.000
rs1945213 lBF = `0.0407849` Chr`11` : `56,175,671`	0.026	0.974	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.025	0.975	0.000
rs174578 lBF = `4.34393` Chr`11` : `61,605,499`	0.000	0.975	0.025
rs191110399 lBF = `1.08712` Chr`11` : `127,347,811`	0.024	0.976	0.000
rs174577 lBF = `4.1944` Chr`11` : `61,604,814`	0.000	0.976	0.024
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.023	0.977	0.000
rs117250828 lBF = `5.12033` Chr`11` : `12,193,257`	0.023	0.977	0.000
rs174535 lBF = `5.01621` Chr`11` : `61,551,356`	0.000	0.977	0.023
rs174547 lBF = `4.82307` Chr`11` : `61,570,783`	0.000	0.978	0.022
rs187327935 lBF = `0.525467` Chr`11` : `127,343,881`	0.021	0.979	0.000
rs174545 lBF = `4.79333` Chr`11` : `61,569,306`	0.000	0.979	0.021
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.021	0.979	0.000
rs174550 lBF = `4.79425` Chr`11` : `61,571,478`	0.000	0.979	0.021
rs174551 lBF = `4.79116` Chr`11` : `61,573,684`	0.000	0.979	0.021
rs1535 lBF = `5.20177` Chr`11` : `61,597,972`	0.000	0.980	0.020
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.019	0.981	0.000
rs174546 lBF = `4.61335` Chr`11` : `61,569,830`	0.000	0.981	0.019
rs174528 lBF = `2.74158` Chr`11` : `61,543,499`	0.000	0.981	0.019
rs141752671 lBF = `4.05608` Chr`11` : `103,616,565`	0.018	0.981	0.000
rs174576 lBF = `4.5783` Chr`11` : `61,603,510`	0.000	0.983	0.017
rs174554 lBF = `4.57936` Chr`11` : `61,579,463`	0.000	0.983	0.017
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.017	0.983	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.017	0.983	0.000
rs174536 lBF = `4.93289` Chr`11` : `61,551,927`	0.000	0.984	0.016
rs174537 lBF = `4.70984` Chr`11` : `61,552,680`	0.000	0.984	0.016
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.015	0.985	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.015	0.985	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.014	0.985	0.000
rs12285658 lBF = `0.0147089` Chr`11` : `94,723,623`	0.014	0.986	0.000
rs174529 lBF = `2.55834` Chr`11` : `61,543,961`	0.000	0.987	0.013
rs77689730 lBF = `5.04085` Chr`11` : `51,515,912`	0.012	0.988	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.012	0.988	0.000
rs34507830 lBF = `17.4268` Chr`11` : `69,461,686`	0.012	0.988	0.000
rs10160713 lBF = `0.761312` Chr`11` : `96,898,237`	0.012	0.988	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.012	0.988	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.011	0.989	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.011	0.989	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.010	0.989	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.010	0.990	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.010	0.990	0.000
rs174583 lBF = `5.17451` Chr`11` : `61,609,750`	0.000	0.991	0.009
rs115514216 lBF = `0.00747607` Chr`11` : `25,892,582`	0.009	0.991	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.008	0.992	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.008	0.992	0.000
rs4076943 lBF = `-0.0907156` Chr`11` : `11,261,400`	0.008	0.992	0.000
rs174601 lBF = `3.59859` Chr`11` : `61,623,140`	0.000	0.992	0.008
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.007	0.993	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.007	0.993	0.000
rs12804815 lBF = `1.71775` Chr`11` : `27,453,729`	0.006	0.993	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.006	0.994	0.000
rs190588926 lBF = `0.0101642` Chr`11` : `46,243,540`	0.006	0.994	0.000
rs10500856 lBF = `0.00542608` Chr`11` : `19,584,502`	0.006	0.994	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.005	0.994	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.005	0.994	0.000
rs174548 lBF = `3.39692` Chr`11` : `61,571,348`	0.000	0.994	0.006
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rs650258 lBF = `-0.0315288` Chr`11` : `60,832,282`	0.000	0.999	0.001
rs4148613 lBF = `0.00146786` Chr`11` : `17,476,460`	0.001	0.999	0.000
rs144572046 lBF = `0.00003126` Chr`11` : `45,059,131`	0.000	0.999	0.000
rs77301713 lBF = `0.0111437` Chr`11` : `76,832,446`	0.000	0.999	0.001
rs11024102 lBF = `0.261614` Chr`11` : `17,008,605`	0.000	0.999	0.001
rs525304 lBF = `0.20634` Chr`11` : `70,506,206`	0.000	0.999	0.001
rs2237886 lBF = `0.0620385` Chr`11` : `2,810,731`	0.001	0.999	0.000
rs524281 lBF = `0.0794196` Chr`11` : `65,886,662`	0.001	0.999	0.000
rs10765792 lBF = `-0.0088881` Chr`11` : `95,866,700`	0.001	0.999	0.000
rs7948661 lBF = `0.0354698` Chr`11` : `118,341,649`	0.001	0.999	0.000
rs10160399 lBF = `-0.0325215` Chr`11` : `4,516,576`	0.000	0.999	0.001
rs7481584 lBF = `0.027298` Chr`11` : `3,029,089`	0.000	0.999	0.001
rs1870323 lBF = `1.20012` Chr`11` : `86,188,152`	0.001	0.999	0.000
rs174449 lBF = `0.51785` Chr`11` : `61,640,379`	0.001	0.999	0.000
rs11605924 lBF = `-0.0664562` Chr`11` : `45,873,091`	0.000	0.999	0.001
rs17146964 lBF = `0.662694` Chr`11` : `65,249,145`	0.000	0.999	0.001
rs2851682 lBF = `1.07476` Chr`11` : `61,616,012`	0.000	0.999	0.001
rs7105056 lBF = `1.0249` Chr`11` : `112,064,431`	0.000	0.999	0.001
rs391317 lBF = `0.199741` Chr`11` : `37,012,537`	0.001	0.999	0.000
rs750338 lBF = `0.50138` Chr`11` : `125,172,593`	0.001	0.999	0.000
rs10831734 lBF = `-0.0998148` Chr`11` : `12,123,221`	0.000	0.999	0.001
rs17439299 lBF = `0.0288217` Chr`11` : `15,620,586`	0.000	0.999	0.001
rs12296050 lBF = `-0.0672472` Chr`11` : `2,489,342`	0.000	0.999	0.001
rs16928297 lBF = `-0.0686346` Chr`11` : `2,486,120`	0.000	0.999	0.001
rs74048198 lBF = `5.94724` Chr`11` : `2,118,282`	0.001	0.999	0.000
rs2078454 lBF = `0.00016355` Chr`11` : `133,120,937`	0.000	0.999	0.000
rs2421770 lBF = `-0.024353` Chr`11` : `35,320,880`	0.000	0.999	0.001
rs7122937 lBF = `-0.0647954` Chr`11` : `2,486,550`	0.000	0.999	0.001
rs11039571 lBF = `3.58346` Chr`11` : `48,207,259`	0.001	0.999	0.000
rs2924679 lBF = `0.515629` Chr`11` : `68,556,782`	0.001	0.999	0.000
rs1004446 lBF = `11.6939` Chr`11` : `2,170,143`	0.000	0.999	0.001
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.000	0.999	0.000
rs544368 lBF = `0.0101347` Chr`11` : `124,537,995`	0.000	0.999	0.001
Affx-4739950 lBF = `11.7936` Chr`11` : `2,170,143`	0.000	0.999	0.001
rs17602038 lBF = `5.28663` Chr`11` : `113,364,691`	0.001	0.999	0.000
rs12418204 lBF = `-0.00384698` Chr`11` : `72,250,123`	0.001	0.999	0.000
rs7128311 lBF = `0.00968936` Chr`11` : `20,562,519`	0.000	0.999	0.000
rs11216435 lBF = `-0.0840038` Chr`11` : `117,388,932`	0.000	0.999	0.001
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.001	0.999	0.000
rs10899489 lBF = `1.43621` Chr`11` : `78,095,373`	0.000	0.999	0.001
rs12576239 lBF = `-0.0443245` Chr`11` : `2,502,319`	0.000	0.999	0.001
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.000	0.999	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.001	0.999	0.000
rs694739 lBF = `1.06125` Chr`11` : `64,097,233`	0.000	0.999	0.001
rs2727271 lBF = `0.597241` Chr`11` : `61,603,358`	0.000	0.999	0.001
rs2727270 lBF = `0.597241` Chr`11` : `61,603,237`	0.000	0.999	0.001
rs286913 lBF = `0.135445` Chr`11` : `34,655,363`	0.000	0.999	0.001
rs234886 lBF = `0.0403784` Chr`11` : `2,802,090`	0.000	0.999	0.001
rs12807809 lBF = `0.00674689` Chr`11` : `124,606,285`	0.000	0.999	0.001
rs139675748 lBF = `0.00416191` Chr`11` : `43,633,208`	0.000	0.999	0.000
rs3017493 lBF = `-0.00015544` Chr`11` : `70,665,521`	0.000	0.999	0.001
rs11032423 lBF = `-0.00027425` Chr`11` : `33,868,607`	0.000	0.999	0.000
rs2845885 lBF = `4.30722` Chr`11` : `63,869,062`	0.000	0.999	0.001
rs2373115 lBF = `1.47489` Chr`11` : `78,091,150`	0.000	0.999	0.001
rs746463 lBF = `0.372536` Chr`11` : `109,995,944`	0.000	0.999	0.001
rs7948471 lBF = `-0.0581001` Chr`11` : `5,471,746`	0.001	0.999	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.000	0.999	0.000
rs2027760 lBF = `0.210215` Chr`11` : `73,036,481`	0.000	0.999	0.000
rs538147 lBF = `0.0738517` Chr`11` : `64,129,722`	0.000	0.999	0.001
rs35897606 lBF = `0.0552943` Chr`11` : `33,457,857`	0.000	0.999	0.000
rs10892151 lBF = `0.00700115` Chr`11` : `117,531,731`	0.000	0.999	0.000
rs1346220 lBF = `-0.00088597` Chr`11` : `12,480,087`	0.000	0.999	0.000
rs145803288 lBF = `-0.00159251` Chr`11` : `122,490,659`	0.000	0.999	0.000
rs1791933 lBF = `-0.0335508` Chr`11` : `72,894,848`	0.000	0.999	0.000
rs7125940 lBF = `-0.0674765` Chr`11` : `80,932,427`	0.001	0.999	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.000	0.999	0.000
rs2057178 lBF = `6.20736` Chr`11` : `32,364,187`	0.000	0.999	0.000
rs4758132 lBF = `0.146857` Chr`11` : `6,783,401`	0.000	0.999	0.000
rs35295995 lBF = `0.0896418` Chr`11` : `21,046,427`	0.000	0.999	0.000
rs10160242 lBF = `0.0580343` Chr`11` : `108,498,885`	0.000	0.999	0.000
rs1800057 lBF = `17.8656` Chr`11` : `108,143,456`	0.000	1.000	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.000	1.000	0.000
rs2071348 lBF = `0.143414` Chr`11` : `5,264,146`	0.000	1.000	0.000
rs2524299 lBF = `1.00252` Chr`11` : `61,604,782`	0.000	1.000	0.000
rs10896794 lBF = `0.995896` Chr`11` : `58,339,124`	0.000	1.000	0.000
rs2063730 lBF = `0.470533` Chr`11` : `78,048,524`	0.000	1.000	0.000
rs7947981 lBF = `-0.00475743` Chr`11` : `2,626,334`	0.000	1.000	0.000
rs11031492 lBF = `-0.0468209` Chr`11` : `31,884,919`	0.000	1.000	0.000
rs1448938 lBF = `-0.064623` Chr`11` : `30,892,824`	0.000	1.000	0.000
rs78015633 lBF = `-0.0203305` Chr`11` : `40,876,586`	0.000	1.000	0.000
rs7927370 lBF = `-0.0333124` Chr`11` : `55,136,219`	0.000	1.000	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.000	1.000	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.000	1.000	0.000
rs150829342 lBF = `0.101576` Chr`11` : `83,818,329`	0.000	1.000	0.000
rs474951 lBF = `0.0957292` Chr`11` : `59,838,621`	0.000	1.000	0.000
rs2785173 lBF = `0.00382064` Chr`11` : `35,155,732`	0.000	1.000	0.000
rs12800752 lBF = `-0.00288427` Chr`11` : `100,406,640`	0.000	1.000	0.000
rs61903125 lBF = `-0.0507974` Chr`11` : `106,490,782`	0.000	1.000	0.000
rs7129220 lBF = `-0.0591923` Chr`11` : `10,350,538`	0.000	1.000	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.000	1.000	0.000
rs1351696 lBF = `3.88078` Chr`11` : `48,382,471`	0.000	1.000	0.000
rs968567 lBF = `1.13674` Chr`11` : `61,595,564`	0.000	1.000	0.000
rs4561213 lBF = `-0.0125993` Chr`11` : `24,678,819`	0.000	1.000	0.000
rs10791824 lBF = `2.44651` Chr`11` : `65,559,266`	0.000	1.000	0.000
rs4936891 lBF = `0.0269677` Chr`11` : `123,920,645`	0.000	1.000	0.000
rs4938534 lBF = `-0.00193398` Chr`11` : `111,275,133`	0.000	1.000	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

0.6676

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9994

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9876

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9853

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9841

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9794

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9792

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9724

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9722

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9687

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9661

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9643

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9624

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9566

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9385

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9254

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9177

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9140

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9004

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8991

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8971

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8883

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8755

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8694

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8656

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8428

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8293

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8292

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8091

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7963

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7916

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7722

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7691

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7662

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7531

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7465

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7452

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7347

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7272

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7192

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6962

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6916

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6656

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6156

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6072

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6068

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6041

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6020

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6017

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5980

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5931

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5770

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5559

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5507

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5434

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5321

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5304

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5169

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4886

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4758

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4596

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4521

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4459

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4456

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4403

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4397

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4011

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3725

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3711

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3535

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2943

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2756

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2570

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2539

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2478

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2431

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2374

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1889

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1830

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1806

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1745

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1647

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1388

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1332

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1266

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1263

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1137

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1119

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1059

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0923

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0910

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0779

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0611

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0551

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0541

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)