TreeWAS – [K45] Other abdominal hernia

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K45

Other abdominal hernia

Parent term	K40-K46 Hernia
Nested terms	K45.0 Other specified abdominal hernia with obstruction, without gangrene K45.1 Other specified abdominal hernia with gangrene K45.8 Other specified abdominal hernia without obstruction or gangrene

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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
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.724	0.276	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.707	0.293	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.675	0.325	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.644	0.356	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.629	0.371	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.591	0.409	0.000
rs192692653 lBF = `2.44667` Chr`14` : `52,384,486`	0.557	0.443	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.539	0.461	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.534	0.466	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.510	0.490	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.508	0.492	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.504	0.496	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.497	0.503	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.485	0.515	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.480	0.520	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.474	0.526	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.460	0.540	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.457	0.542	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.448	0.552	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.441	0.559	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.441	0.559	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.434	0.566	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.428	0.572	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.415	0.584	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.407	0.593	0.000
rs11627967 lBF = `0.353752` Chr`14` : `33,769,912`	0.384	0.615	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.378	0.622	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.375	0.625	0.000
rs10498345 lBF = `1.07994` Chr`14` : `39,020,505`	0.373	0.627	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.356	0.644	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.352	0.648	0.000
rs150511909 lBF = `0.288513` Chr`14` : `97,908,686`	0.321	0.679	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.310	0.690	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.309	0.691	0.000
rs192549394 lBF = `1.61666` Chr`14` : `52,293,779`	0.274	0.726	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.273	0.727	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.264	0.736	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.262	0.738	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.262	0.738	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.259	0.741	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.246	0.754	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.240	0.760	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.240	0.760	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.237	0.763	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.236	0.764	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.226	0.774	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.224	0.775	0.000
rs117911949 lBF = `0.377711` Chr`14` : `72,016,789`	0.220	0.780	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.219	0.781	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.214	0.785	0.000
rs80221072 lBF = `0.96065` Chr`14` : `33,795,591`	0.213	0.787	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.212	0.788	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.199	0.801	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.188	0.812	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.163	0.837	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.160	0.840	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.154	0.845	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.153	0.847	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.141	0.859	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.137	0.863	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.132	0.868	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.128	0.872	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.114	0.885	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.113	0.886	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.113	0.887	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.112	0.888	0.000
rs186152940 lBF = `0.126532` Chr`14` : `46,476,984`	0.106	0.894	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.103	0.897	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.098	0.902	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.096	0.903	0.000
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.096	0.904	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.095	0.905	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.095	0.905	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.090	0.910	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.086	0.914	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.083	0.917	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.076	0.923	0.000
rs182491339 lBF = `0.10278` Chr`14` : `66,049,929`	0.072	0.927	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.072	0.928	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.071	0.929	0.000
rs12587252 lBF = `0.5067` Chr`14` : `81,405,922`	0.070	0.930	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.070	0.930	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.067	0.933	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.065	0.935	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.064	0.935	0.000
rs183755958 lBF = `0.0427294` Chr`14` : `52,307,478`	0.055	0.945	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.054	0.945	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.053	0.947	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.000	0.948	0.052
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.051	0.949	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.050	0.950	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.049	0.951	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.048	0.952	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.043	0.957	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.039	0.961	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.038	0.962	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.034	0.966	0.000
rs17093520 lBF = `7.13877` Chr`14` : `74,346,295`	0.032	0.968	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.028	0.972	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.027	0.973	0.000
rs148071215 lBF = `0.123842` Chr`14` : `83,272,653`	0.026	0.973	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.026	0.974	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.026	0.974	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.025	0.974	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.024	0.976	0.000
rs58262369 lBF = `0.0229117` Chr`14` : `64,693,912`	0.023	0.977	0.000
rs186116546 lBF = `0.0301833` Chr`14` : `65,986,176`	0.022	0.977	0.000
rs1998848 lBF = `0.0282524` Chr`14` : `21,492,229`	0.021	0.979	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.020	0.979	0.000
rs11623713 lBF = `0.147314` Chr`14` : `99,240,316`	0.018	0.982	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.017	0.983	0.000
rs74731421 lBF = `0.938135` Chr`14` : `38,210,286`	0.017	0.983	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.017	0.983	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.013	0.986	0.001
rs17175227 lBF = `0.0727778` Chr`14` : `70,502,050`	0.013	0.986	0.000
rs144190017 lBF = `0.182292` Chr`14` : `25,893,032`	0.012	0.988	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.012	0.988	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.011	0.989	0.000
rs11622475 lBF = `0.212488` Chr`14` : `104,509,076`	0.010	0.990	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.010	0.990	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.000	0.991	0.009
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.009	0.991	0.000
rs6576086 lBF = `0.00570964` Chr`14` : `105,873,144`	0.000	0.992	0.008
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.007	0.992	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.007	0.993	0.000
rs398652 lBF = `0.167566` Chr`14` : `56,525,569`	0.007	0.993	0.000
rs4983559 lBF = `-0.00667382` Chr`14` : `105,277,209`	0.007	0.993	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.005	0.995	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.995	0.005
rs117672662 lBF = `0.032178` Chr`14` : `69,425,467`	0.005	0.995	0.000
rs45490496 lBF = `-0.0601836` Chr`14` : `105,272,678`	0.005	0.995	0.000
rs1092015 lBF = `1.59496` Chr`14` : `58,200,725`	0.000	0.996	0.004
rs76513344 lBF = `0.00295873` Chr`14` : `63,047,683`	0.004	0.996	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.004	0.996	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.003	0.996	0.000
rs185449237 lBF = `0.00377806` Chr`14` : `47,199,333`	0.003	0.996	0.000
rs7151526 lBF = `4.71892` Chr`14` : `94,863,636`	0.003	0.997	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.003	0.997	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.003	0.997	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.002	0.997	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.002	0.998	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.002	0.998	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.002	0.998	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.002	0.998	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.002	0.998	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.002	0.998	0.000
rs191926782 lBF = `0.00081724` Chr`14` : `85,956,171`	0.001	0.998	0.000
rs10162376 lBF = `0.00098877` Chr`14` : `81,030,493`	0.001	0.998	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.001	0.998	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.001	0.998	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.001	0.998	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.001	0.998	0.000
rs8016620 lBF = `0.00254963` Chr`14` : `97,393,685`	0.001	0.998	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.001	0.998	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.001	0.999	0.000
rs2841277 lBF = `-0.0657539` Chr`14` : `105,391,005`	0.001	0.999	0.000
rs115169421 lBF = `0.00090948` Chr`14` : `96,093,847`	0.001	0.999	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.001	0.999	0.000
rs999737 lBF = `3.00904` Chr`14` : `69,034,682`	0.001	0.999	0.000
rs57602116 lBF = `0.0008998` Chr`14` : `95,283,220`	0.001	0.999	0.000
rs10132280 lBF = `0.150928` Chr`14` : `25,928,179`	0.001	0.999	0.001
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.001	0.999	0.000
rs11624164 lBF = `6.6423` Chr`14` : `68,986,157`	0.001	0.999	0.000
rs4144027 lBF = `1.9022` Chr`14` : `104,357,638`	0.000	0.999	0.001
rs2370983 lBF = `0.0704102` Chr`14` : `79,903,376`	0.000	0.999	0.001
rs146750542 lBF = `0.00058545` Chr`14` : `32,500,171`	0.001	0.999	0.000
rs2143963 lBF = `0.00021584` Chr`14` : `54,723,923`	0.001	0.999	0.000
rs28489712 lBF = `0.00036831` Chr`14` : `55,483,786`	0.001	0.999	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.001	0.999	0.000
rs35862341 lBF = `-0.0081052` Chr`14` : `56,361,738`	0.001	0.999	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.001	0.999	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.001	0.999	0.000
rs2582532 lBF = `0.0391405` Chr`14` : `105,392,837`	0.000	0.999	0.001
rs4904947 lBF = `0.107386` Chr`14` : `92,972,162`	0.001	0.999	0.000
rs1508945 lBF = `0.0681269` Chr`14` : `58,034,570`	0.001	0.999	0.000
rs8014671 lBF = `0.0324273` Chr`14` : `71,092,256`	0.001	0.999	0.000
rs11844632 lBF = `2.74782` Chr`14` : `69,026,379`	0.001	0.999	0.000
rs139134142 lBF = `0.00018876` Chr`14` : `92,069,489`	0.001	0.999	0.000
rs1741439 lBF = `0.00003122` Chr`14` : `92,702,596`	0.001	0.999	0.000
rs58694847 lBF = `0.101556` Chr`14` : `84,916,511`	0.001	0.999	0.000
rs4904670 lBF = `0.00098541` Chr`14` : `90,770,210`	0.000	0.999	0.001
rs185677526 lBF = `0` Chr`14` : `85,942,061`	0.001	0.999	0.001
rs116590076 lBF = `0` Chr`14` : `28,538,991`	0.001	0.999	0.001
rs2614463 lBF = `0` Chr`14` : `99,746,274`	0.001	0.999	0.001
rs2180386 lBF = `0` Chr`14` : `101,365,265`	0.001	0.999	0.001
rs191739273 lBF = `0` Chr`14` : `46,412,713`	0.001	0.999	0.001
rs17718580 lBF = `0` Chr`14` : `50,973,632`	0.001	0.999	0.001
rs188838161 lBF = `0` Chr`14` : `52,288,108`	0.001	0.999	0.001
rs10144321 lBF = `0` Chr`14` : `100,882,405`	0.001	0.999	0.001
rs7142002 lBF = `0` Chr`14` : `102,360,745`	0.001	0.999	0.001
rs7142143 lBF = `0` Chr`14` : `51,403,531`	0.001	0.999	0.001
rs79797842 lBF = `0` Chr`14` : `94,436,739`	0.001	0.999	0.001
rs1884537 lBF = `0` Chr`14` : `101,251,989`	0.001	0.999	0.001
rs3783412 lBF = `0` Chr`14` : `50,856,641`	0.001	0.999	0.001
rs78242550 lBF = `0` Chr`14` : `28,605,686`	0.001	0.999	0.001
rs941898 lBF = `0` Chr`14` : `100,599,437`	0.001	0.999	0.001
rs6575836 lBF = `0` Chr`14` : `101,679,255`	0.001	0.999	0.001
rs192383543 lBF = `0` Chr`14` : `47,200,862`	0.001	0.999	0.001
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rs11625034 lBF = `-0.0953113` Chr`14` : `54,349,976`	0.000	1.000	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.000	1.000	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.000	1.000	0.000
rs118036572 lBF = `5.2328` Chr`14` : `69,715,870`	0.000	1.000	0.000
rs11624512 lBF = `2.09711` Chr`14` : `93,111,120`	0.000	1.000	0.000
rs8005161 lBF = `2.02207` Chr`14` : `88,472,595`	0.000	1.000	0.000
rs732765 lBF = `0.165511` Chr`14` : `75,365,729`	0.000	1.000	0.000
rs3783782 lBF = `0.0923372` Chr`14` : `61,940,675`	0.000	1.000	0.000
rs2093746 lBF = `0.0577197` Chr`14` : `90,227,251`	0.000	1.000	0.000
rs10498514 lBF = `0.0521203` Chr`14` : `64,899,055`	0.000	1.000	0.000
rs1959122 lBF = `0.0516474` Chr`14` : `82,337,665`	0.000	1.000	0.000
rs11625461 lBF = `0.040507` Chr`14` : `52,403,684`	0.000	1.000	0.000
rs7144584 lBF = `0.00567901` Chr`14` : `64,275,812`	0.000	1.000	0.000
rs17832777 lBF = `0.00143952` Chr`14` : `56,886,686`	0.000	1.000	0.000
rs869834 lBF = `-0.0005937` Chr`14` : `63,177,144`	0.000	1.000	0.000
rs118166657 lBF = `-0.00663862` Chr`14` : `64,047,262`	0.000	1.000	0.000
rs55995849 lBF = `-0.00697345` Chr`14` : `37,783,090`	0.000	1.000	0.000
rs117097805 lBF = `-0.0216567` Chr`14` : `43,529,765`	0.000	1.000	0.000
rs12887386 lBF = `-0.0281423` Chr`14` : `85,565,927`	0.000	1.000	0.000
rs12895389 lBF = `-0.0407842` Chr`14` : `95,892,274`	0.000	1.000	0.000
rs2273905 lBF = `-0.0415244` Chr`14` : `102,974,999`	0.000	1.000	0.000
rs11624056 lBF = `-0.0677856` Chr`14` : `87,506,248`	0.000	1.000	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.000	1.000	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.000	1.000	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.000	1.000	0.000
rs78807545 lBF = `1.66568` Chr`14` : `97,541,630`	0.000	1.000	0.000
rs116909374 lBF = `0.909579` Chr`14` : `36,738,361`	0.000	1.000	0.000
rs7140285 lBF = `0.872006` Chr`14` : `88,462,988`	0.000	1.000	0.000
rs227425 lBF = `0.505785` Chr`14` : `70,456,699`	0.000	1.000	0.000
rs4906172 lBF = `0.141726` Chr`14` : `102,454,933`	0.000	1.000	0.000
rs55951657 lBF = `0.0422951` Chr`14` : `74,074,732`	0.000	1.000	0.000
rs1243704 lBF = `0.00923184` Chr`14` : `21,005,062`	0.000	1.000	0.000
rs17176043 lBF = `0.00204714` Chr`14` : `36,994,802`	0.000	1.000	0.000
rs4900022 lBF = `-0.00005395` Chr`14` : `90,615,513`	0.000	1.000	0.000
rs2877832 lBF = `-0.0013712` Chr`14` : `27,800,177`	0.000	1.000	0.000
rs11622412 lBF = `-0.012084` Chr`14` : `38,683,261`	0.000	1.000	0.000
rs61227778 lBF = `-0.021244` Chr`14` : `24,578,916`	0.000	1.000	0.000
rs1256531 lBF = `-0.02696` Chr`14` : `65,747,759`	0.000	1.000	0.000
rs7494379 lBF = `-0.0329853` Chr`14` : `53,411,391`	0.000	1.000	0.000
rs4898641 lBF = `-0.0381064` Chr`14` : `38,013,787`	0.000	1.000	0.000
rs1958560 lBF = `-0.0533853` Chr`14` : `66,036,795`	0.000	1.000	0.000
rs12879264 lBF = `-0.109083` Chr`14` : `52,074,207`	0.000	1.000	0.000
rs2239633 lBF = `-0.114551` Chr`14` : `23,589,057`	0.000	1.000	0.000
rs72678071 lBF = `6.2551` Chr`14` : `50,071,603`	0.000	1.000	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.000	1.000	0.000
rs1537424 lBF = `2.49691` Chr`14` : `36,574,018`	0.000	1.000	0.000
rs11159086 lBF = `2.46915` Chr`14` : `74,962,275`	0.000	1.000	0.000
rs8020941 lBF = `1.5323` Chr`14` : `97,533,362`	0.000	1.000	0.000
rs148114321 lBF = `0.639906` Chr`14` : `36,213,442`	0.000	1.000	0.000
rs17108533 lBF = `0.245552` Chr`14` : `71,249,802`	0.000	1.000	0.000
rs11158820 lBF = `0.203723` Chr`14` : `70,347,348`	0.000	1.000	0.000
rs699363 lBF = `0.173027` Chr`14` : `72,692,493`	0.000	1.000	0.000
rs76745467 lBF = `0.113511` Chr`14` : `69,426,389`	0.000	1.000	0.000
rs1957894 lBF = `0.0672292` Chr`14` : `61,908,111`	0.000	1.000	0.000
rs17127713 lBF = `0.0575476` Chr`14` : `55,122,918`	0.000	1.000	0.000
rs3783938 lBF = `0.0404748` Chr`14` : `81,594,380`	0.000	1.000	0.000
rs1303 lBF = `0.0132239` Chr`14` : `94,844,843`	0.000	1.000	0.000
rs1958581 lBF = `0.0051135` Chr`14` : `34,801,599`	0.000	1.000	0.000
rs17111920 lBF = `-0.00597461` Chr`14` : `27,406,892`	0.000	1.000	0.000
rs1569328 lBF = `-0.0145158` Chr`14` : `75,741,751`	0.000	1.000	0.000
rs2877649 lBF = `-0.0161482` Chr`14` : `24,954,002`	0.000	1.000	0.000
rs1474476 lBF = `-0.0162756` Chr`14` : `22,607,502`	0.000	1.000	0.000
rs17101773 lBF = `-0.021977` Chr`14` : `34,190,982`	0.000	1.000	0.000
rs7141238 lBF = `-0.0308401` Chr`14` : `61,734,640`	0.000	1.000	0.000
rs3811345 lBF = `-0.0386343` Chr`14` : `96,389,331`	0.000	1.000	0.000
rs12436689 lBF = `-0.039969` Chr`14` : `85,654,019`	0.000	1.000	0.000
rs12146962 lBF = `-0.0708266` Chr`14` : `33,381,098`	0.000	1.000	0.000
rs7144383 lBF = `-0.0726046` Chr`14` : `48,040,375`	0.000	1.000	0.000
rs227869 lBF = `-0.0748106` Chr`14` : `22,956,710`	0.000	1.000	0.000
rs4905138 lBF = `-0.0789265` Chr`14` : `94,466,357`	0.000	1.000	0.000
rs11624776 lBF = `-0.0828282` Chr`14` : `93,595,591`	0.000	1.000	0.000
rs7144649 lBF = `-0.0837811` Chr`14` : `57,822,216`	0.000	1.000	0.000
rs3000073 lBF = `-0.0908643` Chr`14` : `105,729,792`	0.000	1.000	0.000
rs7140150 lBF = `-0.109488` Chr`14` : `52,010,799`	0.000	1.000	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.000	1.000	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	1.000	0.000
rs116988415 lBF = `1.2421` Chr`14` : `65,292,145`	0.000	1.000	0.000
rs1254337 lBF = `1.05396` Chr`14` : `60,920,525`	0.000	1.000	0.000
rs11158559 lBF = `0.349606` Chr`14` : `65,240,949`	0.000	1.000	0.000
rs73276024 lBF = `0.11509` Chr`14` : `56,356,921`	0.000	1.000	0.000
rs10147992 lBF = `0.102132` Chr`14` : `25,503,799`	0.000	1.000	0.000
rs1957895 lBF = `0.0985856` Chr`14` : `61,908,332`	0.000	1.000	0.000
rs12891047 lBF = `0.0838441` Chr`14` : `68,243,075`	0.000	1.000	0.000
rs12436663 lBF = `0.0452172` Chr`14` : `35,639,120`	0.000	1.000	0.000
rs1756650 lBF = `0.0386228` Chr`14` : `87,741,025`	0.000	1.000	0.000
rs17106852 lBF = `0.0377967` Chr`14` : `38,038,468`	0.000	1.000	0.000
rs11627075 lBF = `0.0363587` Chr`14` : `94,972,242`	0.000	1.000	0.000
rs4902960 lBF = `0.0355215` Chr`14` : `72,432,149`	0.000	1.000	0.000
rs10143078 lBF = `0.0301057` Chr`14` : `70,881,489`	0.000	1.000	0.000
rs146647518 lBF = `0.0130713` Chr`14` : `67,529,620`	0.000	1.000	0.000
rs117137044 lBF = `0.0118479` Chr`14` : `37,660,202`	0.000	1.000	0.000
rs7147087 lBF = `0.00910278` Chr`14` : `59,236,307`	0.000	1.000	0.000
rs79578553 lBF = `0.00155831` Chr`14` : `61,595,747`	0.000	1.000	0.000
rs75987388 lBF = `-0.0128527` Chr`14` : `70,385,707`	0.000	1.000	0.000
rs4902141 lBF = `-0.0170287` Chr`14` : `62,968,395`	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 X0207

log Bayes Factor = 94.6548

contains 2 variants

0.7337

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1194

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9878

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9600

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9308

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9296

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9128

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.8854

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8808

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8732

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8722

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8707

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8608

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8597

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8549

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8526

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8360

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8358

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8216

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8195

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8093

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8092

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7941

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7934

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7913

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7854

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7798

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7624

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7605

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7557

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7463

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7460

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7216

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7183

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7168

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7158

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7113

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7096

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7071

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7010

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6965

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6894

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6883

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6881

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6870

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6753

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6636

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6483

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6483

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6398

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6393

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6153

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.5723

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5629

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5381

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5216

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5082

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5037

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4826

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4683

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4393

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4363

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4297

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4259

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4255

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4054

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4035

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3714

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3378

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3341

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3258

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3162

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3117

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2951

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2895

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2851

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2831

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2814

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2784

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2724

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2713

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2711

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2699

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2678

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2564

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2554

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2544

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2509

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2436

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2356

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2199

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2194

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2177

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2118

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2107

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2094

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2091

Cluster X0285

log Bayes Factor = 52.7353

contains 4 variants

0.2090

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2074

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2056

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2012

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2006

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1866

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1801

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1642

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1611

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1595

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1502

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1407

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1342

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1298

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1274

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1274

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1268

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1259

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1249

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1168

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1079

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1010

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.1009

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0993

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0971

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0939

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0938

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0929

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0916

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0911

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0892

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0759

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0739

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0728

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0722

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0683

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0679

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0650

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0636

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0627

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0557

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0544

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0536

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0535

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0531

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0523

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`)