TreeWAS – [I44.5] Left posterior fascicular block

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
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.710	0.290	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.708	0.291	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.690	0.310	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.684	0.316	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.673	0.326	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.623	0.377	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.600	0.400	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.599	0.401	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.597	0.403	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.586	0.414	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.571	0.429	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.569	0.431	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.563	0.437	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.562	0.437	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.554	0.446	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.551	0.449	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.540	0.460	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.531	0.469	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.523	0.477	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.522	0.478	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.522	0.478	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.496	0.504	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.492	0.508	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.491	0.509	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.483	0.517	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.480	0.520	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.479	0.521	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.478	0.521	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.476	0.523	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.470	0.530	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.449	0.550	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.443	0.557	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.438	0.562	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.433	0.567	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.426	0.574	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.423	0.577	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.415	0.584	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.403	0.597	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.400	0.600	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.394	0.605	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.386	0.614	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.382	0.618	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.372	0.628	0.000
rs192549394 lBF = `1.61666` Chr`14` : `52,293,779`	0.370	0.630	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.361	0.639	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.360	0.640	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.355	0.645	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.354	0.646	0.000
rs80221072 lBF = `0.96065` Chr`14` : `33,795,591`	0.350	0.649	0.000
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.350	0.650	0.000
rs10498345 lBF = `1.07994` Chr`14` : `39,020,505`	0.349	0.650	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.656	0.344
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.338	0.661	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.322	0.678	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.321	0.678	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.317	0.683	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.311	0.689	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.301	0.699	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.298	0.702	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.294	0.706	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.291	0.709	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.284	0.716	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.278	0.722	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.265	0.735	0.000
rs11627967 lBF = `0.353752` Chr`14` : `33,769,912`	0.262	0.738	0.000
rs192692653 lBF = `2.44667` Chr`14` : `52,384,486`	0.259	0.741	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.253	0.747	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.250	0.749	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.246	0.754	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.242	0.757	0.001
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.231	0.768	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.219	0.780	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.217	0.783	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.214	0.786	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.211	0.788	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.207	0.793	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.186	0.814	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.177	0.823	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.150	0.850	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.144	0.852	0.003
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.145	0.855	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.143	0.856	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.140	0.860	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.132	0.867	0.001
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.132	0.868	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.130	0.870	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.110	0.890	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.106	0.894	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.090	0.910	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.085	0.915	0.000
rs186152940 lBF = `0.126532` Chr`14` : `46,476,984`	0.083	0.917	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.000	0.922	0.078
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.072	0.928	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.059	0.941	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.058	0.942	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.058	0.942	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.055	0.945	0.000
rs150511909 lBF = `0.288513` Chr`14` : `97,908,686`	0.055	0.945	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.055	0.945	0.000
rs182491339 lBF = `0.10278` Chr`14` : `66,049,929`	0.047	0.952	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.042	0.957	0.001
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.035	0.965	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.032	0.967	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.032	0.968	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.032	0.968	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.031	0.969	0.000
rs12587252 lBF = `0.5067` Chr`14` : `81,405,922`	0.030	0.970	0.000
rs7159300 lBF = `0.0388465` Chr`14` : `72,883,874`	0.000	0.971	0.029
rs10151686 lBF = `0.169654` Chr`14` : `30,466,466`	0.028	0.971	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.028	0.972	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.028	0.972	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.000	0.973	0.026
rs3783782 lBF = `0.0923372` Chr`14` : `61,940,675`	0.000	0.974	0.026
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.025	0.975	0.000
rs183755958 lBF = `0.0427294` Chr`14` : `52,307,478`	0.023	0.976	0.000
rs186116546 lBF = `0.0301833` Chr`14` : `65,986,176`	0.021	0.979	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.020	0.979	0.000
rs17094983 lBF = `0.241374` Chr`14` : `59,189,361`	0.000	0.980	0.020
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.019	0.981	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.019	0.981	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.017	0.983	0.001
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.016	0.984	0.000
rs117911949 lBF = `0.377711` Chr`14` : `72,016,789`	0.015	0.984	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.015	0.985	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.014	0.985	0.000
rs58262369 lBF = `0.0229117` Chr`14` : `64,693,912`	0.013	0.986	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.013	0.986	0.000
rs117672662 lBF = `0.032178` Chr`14` : `69,425,467`	0.013	0.987	0.000
rs1092015 lBF = `1.59496` Chr`14` : `58,200,725`	0.000	0.987	0.013
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.013	0.987	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.013	0.987	0.000
rs1380131 lBF = `-0.0355436` Chr`14` : `54,072,858`	0.012	0.988	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.012	0.988	0.000
rs3811321 lBF = `-0.00354109` Chr`14` : `22,481,824`	0.011	0.988	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.011	0.988	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.009	0.991	0.000
rs1958589 lBF = `0.240004` Chr`14` : `34,844,376`	0.009	0.991	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.009	0.991	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.002	0.991	0.007
rs2582532 lBF = `0.0391405` Chr`14` : `105,392,837`	0.008	0.992	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.007	0.992	0.000
rs115102486 lBF = `0.0223896` Chr`14` : `95,764,564`	0.007	0.993	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.006	0.993	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.006	0.993	0.000
rs3783863 lBF = `0.0157879` Chr`14` : `89,776,745`	0.000	0.994	0.006
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.005	0.994	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.005	0.994	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.003	0.994	0.003
rs6576086 lBF = `0.00570964` Chr`14` : `105,873,144`	0.000	0.994	0.005
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.005	0.995	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.005	0.995	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.004	0.996	0.000
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.000	0.996	0.004
rs17094273 lBF = `-0.0178062` Chr`14` : `97,103,807`	0.004	0.996	0.000
rs4898878 lBF = `-0.0339318` Chr`14` : `56,393,106`	0.000	0.996	0.003
rs2028414 lBF = `-0.0591199` Chr`14` : `105,349,388`	0.003	0.997	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.003	0.997	0.000
rs185449237 lBF = `0.00377806` Chr`14` : `47,199,333`	0.002	0.997	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.002	0.997	0.000
rs709400 lBF = `0.89509` Chr`14` : `104,149,475`	0.000	0.997	0.002
rs58694847 lBF = `0.101556` Chr`14` : `84,916,511`	0.002	0.997	0.000
rs76513344 lBF = `0.00295873` Chr`14` : `63,047,683`	0.002	0.998	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.002	0.998	0.000
rs8009420 lBF = `0.685846` Chr`14` : `54,263,851`	0.002	0.998	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.002	0.998	0.001
rs2841233 lBF = `-0.0360185` Chr`14` : `105,346,907`	0.002	0.998	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.002	0.998	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.002	0.998	0.000
rs2681735 lBF = `0.066513` Chr`14` : `72,812,525`	0.000	0.998	0.002
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.002	0.998	0.000
rs17563 lBF = `0.830959` Chr`14` : `54,417,522`	0.000	0.998	0.002
rs4904670 lBF = `0.00098541` Chr`14` : `90,770,210`	0.000	0.998	0.002
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.002	0.998	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.002	0.998	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.001	0.998	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.001	0.998	0.000
rs862946 lBF = `-0.0100431` Chr`14` : `26,488,467`	0.000	0.999	0.001
rs10162376 lBF = `0.00098877` Chr`14` : `81,030,493`	0.001	0.999	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.000	0.999	0.001
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.001	0.999	0.000
rs8016620 lBF = `0.00254963` Chr`14` : `97,393,685`	0.001	0.999	0.000
rs2071047 lBF = `0.498389` Chr`14` : `54,418,411`	0.001	0.999	0.000
rs115169421 lBF = `0.00090948` Chr`14` : `96,093,847`	0.001	0.999	0.000
rs191926782 lBF = `0.00081724` Chr`14` : `85,956,171`	0.001	0.999	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.001	0.999	0.000
rs144190017 lBF = `0.182292` Chr`14` : `25,893,032`	0.000	0.999	0.001
rs57602116 lBF = `0.0008998` Chr`14` : `95,283,220`	0.001	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
rs79110742 lBF = `0.0352416` Chr`14` : `83,347,928`	0.000	0.999	0.001
rs28489712 lBF = `0.00036831` Chr`14` : `55,483,786`	0.001	0.999	0.000
rs139134142 lBF = `0.00018876` Chr`14` : `92,069,489`	0.001	0.999	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.001	0.999	0.000
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.001	0.999	0.000
rs2053831 lBF = `0.0908873` Chr`14` : `84,980,036`	0.001	0.999	0.000
rs2488856 lBF = `0.0435537` Chr`14` : `43,531,402`	0.001	0.999	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.001	0.999	0.000
rs149065551 lBF = `0` Chr`14` : `89,542,621`	0.001	0.999	0.001
rs6575793 lBF = `0` Chr`14` : `101,032,217`	0.001	0.999	0.001
rs1530947 lBF = `0` Chr`14` : `49,951,350`	0.001	0.999	0.001
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rs12896399 lBF = `-0.06867` Chr`14` : `92,773,663`	0.000	1.000	0.000
rs7148147 lBF = `5.89661` Chr`14` : `50,074,520`	0.000	1.000	0.000
rs8005161 lBF = `2.02207` Chr`14` : `88,472,595`	0.000	1.000	0.000
rs1254337 lBF = `1.05396` Chr`14` : `60,920,525`	0.000	1.000	0.000
rs11157317 lBF = `0.949374` Chr`14` : `43,403,459`	0.000	1.000	0.000
rs17124581 lBF = `0.0823776` Chr`14` : `88,826,682`	0.000	1.000	0.000
rs10498514 lBF = `0.0521203` Chr`14` : `64,899,055`	0.000	1.000	0.000
rs4902960 lBF = `0.0355215` Chr`14` : `72,432,149`	0.000	1.000	0.000
rs35209784 lBF = `0.00609035` Chr`14` : `59,751,830`	0.000	1.000	0.000
rs7148498 lBF = `-0.0201924` Chr`14` : `96,107,955`	0.000	1.000	0.000
rs3811273 lBF = `-0.026019` Chr`14` : `22,715,158`	0.000	1.000	0.000
rs2029614 lBF = `-0.030753` Chr`14` : `99,547,267`	0.000	1.000	0.000
rs11844114 lBF = `-0.106364` Chr`14` : `94,460,529`	0.000	1.000	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.000	1.000	0.000
rs7151526 lBF = `4.71892` Chr`14` : `94,863,636`	0.000	1.000	0.000
rs11623869 lBF = `3.20759` Chr`14` : `103,883,633`	0.000	1.000	0.000
rs77503186 lBF = `2.07551` Chr`14` : `93,071,536`	0.000	1.000	0.000
rs75070309 lBF = `2.01163` Chr`14` : `93,072,476`	0.000	1.000	0.000
rs72699804 lBF = `2.00844` Chr`14` : `93,071,806`	0.000	1.000	0.000
rs75662783 lBF = `2.00372` Chr`14` : `93,072,152`	0.000	1.000	0.000
rs72699818 lBF = `1.91398` Chr`14` : `93,077,611`	0.000	1.000	0.000
rs8010344 lBF = `1.67175` Chr`14` : `93,086,918`	0.000	1.000	0.000
rs7146198 lBF = `0.0436678` Chr`14` : `70,644,169`	0.000	1.000	0.000
rs7147087 lBF = `0.00910278` Chr`14` : `59,236,307`	0.000	1.000	0.000
rs1958581 lBF = `0.0051135` Chr`14` : `34,801,599`	0.000	1.000	0.000
rs36032616 lBF = `0.00464787` Chr`14` : `72,484,156`	0.000	1.000	0.000
rs17280262 lBF = `0.00291272` Chr`14` : `97,053,924`	0.000	1.000	0.000
rs79578553 lBF = `0.00155831` Chr`14` : `61,595,747`	0.000	1.000	0.000
rs7147624 lBF = `-0.0173765` Chr`14` : `65,865,625`	0.000	1.000	0.000
rs7152554 lBF = `-0.0187462` Chr`14` : `84,597,385`	0.000	1.000	0.000
rs36563 lBF = `-0.0187868` Chr`14` : `71,352,648`	0.000	1.000	0.000
rs12895275 lBF = `-0.0366563` Chr`14` : `72,716,515`	0.000	1.000	0.000
rs1570106 lBF = `-0.0460184` Chr`14` : `68,813,115`	0.000	1.000	0.000
rs12146962 lBF = `-0.0708266` Chr`14` : `33,381,098`	0.000	1.000	0.000
rs4903604 lBF = `-0.0709336` Chr`14` : `78,028,378`	0.000	1.000	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.000	1.000	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.000	1.000	0.000
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.000	1.000	0.000
rs118036572 lBF = `5.2328` Chr`14` : `69,715,870`	0.000	1.000	0.000
rs72697297 lBF = `2.03751` Chr`14` : `93,069,989`	0.000	1.000	0.000
rs72697295 lBF = `2.03153` Chr`14` : `93,069,980`	0.000	1.000	0.000
rs11621587 lBF = `1.98468` Chr`14` : `93,098,339`	0.000	1.000	0.000
rs35629566 lBF = `1.97563` Chr`14` : `93,072,317`	0.000	1.000	0.000
rs11627441 lBF = `1.94777` Chr`14` : `93,099,234`	0.000	1.000	0.000
rs79596128 lBF = `1.94747` Chr`14` : `93,074,447`	0.000	1.000	0.000
rs7146689 lBF = `1.94395` Chr`14` : `93,100,024`	0.000	1.000	0.000
rs11623779 lBF = `1.89781` Chr`14` : `93,096,391`	0.000	1.000	0.000
rs112370326 lBF = `1.89405` Chr`14` : `93,078,333`	0.000	1.000	0.000
rs10498635 lBF = `1.83542` Chr`14` : `93,103,309`	0.000	1.000	0.000
rs72699846 lBF = `1.82583` Chr`14` : `93,098,617`	0.000	1.000	0.000
rs7141996 lBF = `1.81526` Chr`14` : `93,094,298`	0.000	1.000	0.000
rs7143806 lBF = `1.77255` Chr`14` : `93,103,729`	0.000	1.000	0.000
rs17184313 lBF = `1.72318` Chr`14` : `93,102,251`	0.000	1.000	0.000
rs17807815 lBF = `0.567103` Chr`14` : `92,556,055`	0.000	1.000	0.000
rs67366981 lBF = `0.400552` Chr`14` : `77,703,964`	0.000	1.000	0.000
rs8020095 lBF = `0.367851` Chr`14` : `67,453,858`	0.000	1.000	0.000
rs11158559 lBF = `0.349606` Chr`14` : `65,240,949`	0.000	1.000	0.000
rs12893597 lBF = `0.192252` Chr`14` : `76,812,695`	0.000	1.000	0.000
rs12898179 lBF = `0.150949` Chr`14` : `67,964,171`	0.000	1.000	0.000
rs4906172 lBF = `0.141726` Chr`14` : `102,454,933`	0.000	1.000	0.000
rs7140601 lBF = `0.140692` Chr`14` : `98,463,157`	0.000	1.000	0.000
rs1508945 lBF = `0.0681269` Chr`14` : `58,034,570`	0.000	1.000	0.000
rs17657012 lBF = `0.0512296` Chr`14` : `55,176,344`	0.000	1.000	0.000
rs8021963 lBF = `0.0406131` Chr`14` : `90,298,275`	0.000	1.000	0.000
rs1756650 lBF = `0.0386228` Chr`14` : `87,741,025`	0.000	1.000	0.000
rs117297873 lBF = `0.00850646` Chr`14` : `91,870,330`	0.000	1.000	0.000
rs6575353 lBF = `-0.00059455` Chr`14` : `94,205,345`	0.000	1.000	0.000
rs11622412 lBF = `-0.012084` Chr`14` : `38,683,261`	0.000	1.000	0.000
rs4902141 lBF = `-0.0170287` Chr`14` : `62,968,395`	0.000	1.000	0.000
rs1951681 lBF = `-0.0266056` Chr`14` : `32,851,025`	0.000	1.000	0.000
rs7141874 lBF = `-0.0353107` Chr`14` : `65,821,994`	0.000	1.000	0.000
rs10132493 lBF = `-0.0668903` Chr`14` : `83,577,467`	0.000	1.000	0.000
rs8014204 lBF = `-0.068306` Chr`14` : `75,322,794`	0.000	1.000	0.000
rs12100561 lBF = `-0.0760769` Chr`14` : `90,301,035`	0.000	1.000	0.000
rs4322600 lBF = `-0.0801717` Chr`14` : `88,295,600`	0.000	1.000	0.000
rs17098356 lBF = `-0.0821594` Chr`14` : `61,898,839`	0.000	1.000	0.000
rs10146615 lBF = `-0.0909665` Chr`14` : `62,732,664`	0.000	1.000	0.000
rs12434047 lBF = `-0.0916543` Chr`14` : `53,837,485`	0.000	1.000	0.000
rs1160351 lBF = `-0.102157` Chr`14` : `48,015,982`	0.000	1.000	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.000	1.000	0.000
rs17564083 lBF = `5.59903` Chr`14` : `29,967,193`	0.000	1.000	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.000	1.000	0.000
rs35107139 lBF = `4.94188` Chr`14` : `54,419,106`	0.000	1.000	0.000
rs72699855 lBF = `2.52398` Chr`14` : `93,105,953`	0.000	1.000	0.000
rs754388 lBF = `2.27045` Chr`14` : `93,115,410`	0.000	1.000	0.000
rs117068593 lBF = `1.3339` Chr`14` : `93,118,229`	0.000	1.000	0.000
rs7140285 lBF = `0.872006` Chr`14` : `88,462,988`	0.000	1.000	0.000
rs1077989 lBF = `0.318625` Chr`14` : `67,975,822`	0.000	1.000	0.000
rs2842339 lBF = `0.299744` Chr`14` : `68,986,999`	0.000	1.000	0.000
rs183266 lBF = `0.280647` Chr`14` : `77,497,975`	0.000	1.000	0.000
rs12590995 lBF = `0.204061` Chr`14` : `44,682,864`	0.000	1.000	0.000
rs4901977 lBF = `0.151587` Chr`14` : `60,789,176`	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

0.5435

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3952

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7169

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7168

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7166

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7166

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7166

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7162

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7159

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7155

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7150

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7143

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7142

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7140

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7140

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.7130

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7129

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7128

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7120

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7119

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7118

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.7107

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7095

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7083

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7063

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7061

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7061

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7052

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7042

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7031

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7016

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6992

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6986

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6967

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6880

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6860

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6820

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6819

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6813

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6756

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6722

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6708

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6538

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6441

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6425

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6401

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6382

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6245

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6198

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6177

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6062

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6027

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6000

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5975

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5868

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5857

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5851

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5803

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5677

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5383

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5244

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5231

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5150

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5128

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5012

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4974

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4956

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4931

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4652

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4327

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3922

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3729

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3696

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3686

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3681

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3658

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3397

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3392

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3384

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3368

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3259

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3009

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2987

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2969

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2960

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2934

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2895

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2767

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2741

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2684

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2668

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2660

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2605

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2597

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2596

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2533

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2278

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.2253

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2196

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2094

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1989

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1986

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1932

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1858

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1857

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1755

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1737

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1729

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1631

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1565

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1507

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1459

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1348

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1334

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1311

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1309

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1082

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1078

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1006

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1003

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0968

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0947

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0876

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0846

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0840

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0753

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0717

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0696

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0650

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0629

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0625

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0568

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0546

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0502

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

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

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

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)