TreeWAS – [K07.3] Anomalies of tooth position

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
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.555	0.444	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.544	0.456	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.539	0.461	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.537	0.463	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.533	0.467	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.525	0.475	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.518	0.482	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.508	0.492	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.492	0.508	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.482	0.517	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.480	0.520	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.471	0.529	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.470	0.530	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.455	0.545	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.438	0.562	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.434	0.566	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.431	0.569	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.430	0.570	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.420	0.580	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.414	0.586	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.413	0.587	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.413	0.587	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.410	0.590	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.409	0.591	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.408	0.592	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.400	0.600	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.397	0.603	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.393	0.607	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.384	0.616	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.373	0.627	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.362	0.637	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.361	0.639	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.352	0.647	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.348	0.652	0.000
rs192692653 lBF = `2.44667` Chr`14` : `52,384,486`	0.344	0.655	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.340	0.660	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.338	0.662	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.330	0.670	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.328	0.672	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.315	0.685	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.308	0.691	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.304	0.696	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.302	0.698	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.281	0.719	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.279	0.720	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.277	0.723	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.269	0.730	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.266	0.733	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.263	0.737	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.263	0.737	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.244	0.755	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.243	0.756	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.242	0.758	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.238	0.762	0.000
rs10498345 lBF = `1.07994` Chr`14` : `39,020,505`	0.234	0.765	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.232	0.767	0.000
rs11627967 lBF = `0.353752` Chr`14` : `33,769,912`	0.224	0.775	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.222	0.778	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.221	0.779	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.221	0.779	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.220	0.779	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.217	0.783	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.216	0.784	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.212	0.788	0.000
rs117911949 lBF = `0.377711` Chr`14` : `72,016,789`	0.200	0.800	0.000
rs150511909 lBF = `0.288513` Chr`14` : `97,908,686`	0.197	0.803	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.197	0.803	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.193	0.807	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.185	0.815	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.180	0.820	0.000
rs80221072 lBF = `0.96065` Chr`14` : `33,795,591`	0.169	0.830	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.165	0.835	0.000
rs12587252 lBF = `0.5067` Chr`14` : `81,405,922`	0.162	0.838	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.136	0.863	0.000
rs74731421 lBF = `0.938135` Chr`14` : `38,210,286`	0.135	0.865	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.128	0.871	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.125	0.874	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.113	0.887	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.113	0.887	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.111	0.889	0.000
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.109	0.891	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.096	0.904	0.000
rs186152940 lBF = `0.126532` Chr`14` : `46,476,984`	0.085	0.915	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.083	0.916	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.082	0.917	0.001
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.078	0.922	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.074	0.925	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.072	0.928	0.000
rs192549394 lBF = `1.61666` Chr`14` : `52,293,779`	0.070	0.929	0.000
rs182491339 lBF = `0.10278` Chr`14` : `66,049,929`	0.058	0.942	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.057	0.942	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.052	0.947	0.001
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.041	0.959	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.038	0.961	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.034	0.965	0.000
rs11623713 lBF = `0.147314` Chr`14` : `99,240,316`	0.034	0.966	0.000
rs183755958 lBF = `0.0427294` Chr`14` : `52,307,478`	0.031	0.969	0.000
rs17093520 lBF = `7.13877` Chr`14` : `74,346,295`	0.024	0.976	0.000
rs148071215 lBF = `0.123842` Chr`14` : `83,272,653`	0.023	0.977	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.021	0.978	0.000
rs1998848 lBF = `0.0282524` Chr`14` : `21,492,229`	0.020	0.979	0.000
rs56193103 lBF = `0.00283725` Chr`14` : `71,673,152`	0.000	0.981	0.019
rs186116546 lBF = `0.0301833` Chr`14` : `65,986,176`	0.017	0.982	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.018	0.982	0.000
rs58262369 lBF = `0.0229117` Chr`14` : `64,693,912`	0.016	0.983	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.016	0.984	0.000
rs144190017 lBF = `0.182292` Chr`14` : `25,893,032`	0.015	0.984	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.015	0.985	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.014	0.986	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.014	0.986	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.014	0.986	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.012	0.988	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.000	0.990	0.010
rs17175227 lBF = `0.0727778` Chr`14` : `70,502,050`	0.009	0.991	0.000
rs7147996 lBF = `-0.0850978` Chr`14` : `90,396,574`	0.009	0.991	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.008	0.991	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.008	0.992	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.008	0.992	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.007	0.993	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.006	0.994	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.006	0.994	0.000
rs6576086 lBF = `0.00570964` Chr`14` : `105,873,144`	0.000	0.994	0.006
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.994	0.005
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.005	0.994	0.001
rs11624704 lBF = `0.132674` Chr`14` : `78,786,077`	0.006	0.994	0.000
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.005	0.995	0.000
rs1092015 lBF = `1.59496` Chr`14` : `58,200,725`	0.000	0.995	0.005
rs4575 lBF = `-0.057997` Chr`14` : `24,615,435`	0.000	0.995	0.005
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.004	0.995	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.004	0.995	0.000
rs7152554 lBF = `-0.0187462` Chr`14` : `84,597,385`	0.000	0.995	0.004
rs1303 lBF = `0.0132239` Chr`14` : `94,844,843`	0.004	0.996	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.004	0.996	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.004	0.996	0.000
rs11158559 lBF = `0.349606` Chr`14` : `65,240,949`	0.004	0.996	0.000
rs8010715 lBF = `0.095558` Chr`14` : `24,609,147`	0.000	0.996	0.004
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.004	0.996	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.004	0.996	0.000
rs117672662 lBF = `0.032178` Chr`14` : `69,425,467`	0.004	0.996	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.004	0.996	0.000
rs10483554 lBF = `-0.0612243` Chr`14` : `49,831,095`	0.004	0.996	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.003	0.997	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.003	0.997	0.000
rs4901869 lBF = `-0.10412` Chr`14` : `59,334,128`	0.003	0.997	0.000
rs12147450 lBF = `-0.0339275` Chr`14` : `20,957,433`	0.003	0.997	0.000
rs7151526 lBF = `4.71892` Chr`14` : `94,863,636`	0.003	0.997	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.003	0.997	0.000
rs1508945 lBF = `0.0681269` Chr`14` : `58,034,570`	0.003	0.997	0.000
rs17176043 lBF = `0.00204714` Chr`14` : `36,994,802`	0.003	0.997	0.000
rs76513344 lBF = `0.00295873` Chr`14` : `63,047,683`	0.003	0.997	0.000
rs185449237 lBF = `0.00377806` Chr`14` : `47,199,333`	0.003	0.997	0.000
rs11845134 lBF = `-0.044764` Chr`14` : `22,782,377`	0.002	0.998	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.002	0.998	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.002	0.998	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.002	0.998	0.000
rs17807815 lBF = `0.567103` Chr`14` : `92,556,055`	0.002	0.998	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.002	0.998	0.000
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.002	0.998	0.000
rs7160685 lBF = `0.219288` Chr`14` : `93,223,990`	0.000	0.998	0.002
rs4251631 lBF = `-0.0777794` Chr`14` : `54,876,184`	0.000	0.998	0.002
rs10129255 lBF = `-0.0772725` Chr`14` : `107,176,213`	0.000	0.998	0.002
rs2282032 lBF = `-0.0369543` Chr`14` : `90,758,891`	0.002	0.998	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.001	0.998	0.000
rs8010717 lBF = `0.425189` Chr`14` : `80,410,441`	0.002	0.998	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.002	0.998	0.000
rs7147705 lBF = `-0.0446667` Chr`14` : `80,002,096`	0.002	0.998	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.001	0.998	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.001	0.998	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.002	0.998	0.000
rs11157317 lBF = `0.949374` Chr`14` : `43,403,459`	0.001	0.998	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.001	0.998	0.000
rs6574433 lBF = `0.0702025` Chr`14` : `78,786,159`	0.001	0.999	0.000
rs2582532 lBF = `0.0391405` Chr`14` : `105,392,837`	0.001	0.999	0.000
rs191926782 lBF = `0.00081724` Chr`14` : `85,956,171`	0.001	0.999	0.000
rs10162376 lBF = `0.00098877` Chr`14` : `81,030,493`	0.001	0.999	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.001	0.999	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.000	0.999	0.001
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.001	0.999	0.000
rs8016620 lBF = `0.00254963` Chr`14` : `97,393,685`	0.001	0.999	0.000
rs2498796 lBF = `-0.0393447` Chr`14` : `105,243,220`	0.000	0.999	0.001
rs57602116 lBF = `0.0008998` Chr`14` : `95,283,220`	0.001	0.999	0.000
rs75575287 lBF = `0.00419909` Chr`14` : `73,222,829`	0.001	0.999	0.000
rs115169421 lBF = `0.00090948` Chr`14` : `96,093,847`	0.001	0.999	0.000
rs1998359 lBF = `-0.0514601` Chr`14` : `38,077,148`	0.000	0.999	0.001
rs1958589 lBF = `0.240004` Chr`14` : `34,844,376`	0.001	0.999	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.001	0.999	0.000
rs2119704 lBF = `0.00363505` Chr`14` : `88,487,689`	0.001	0.999	0.000
rs7141529 lBF = `-0.0808317` Chr`14` : `69,126,744`	0.000	0.999	0.001
rs2239557 lBF = `-0.0940763` Chr`14` : `74,551,970`	0.001	0.999	0.000
rs7159300 lBF = `0.0388465` Chr`14` : `72,883,874`	0.000	0.999	0.001
rs146750542 lBF = `0.00058545` Chr`14` : `32,500,171`	0.001	0.999	0.000
rs1263806 lBF = `0.120636` Chr`14` : `21,982,957`	0.001	0.999	0.000
rs12127 lBF = `1.53499` Chr`14` : `71,956,270`	0.001	0.999	0.000
rs17106852 lBF = `0.0377967` Chr`14` : `38,038,468`	0.001	0.999	0.000
rs10131728 lBF = `-0.0206612` Chr`14` : `81,635,323`	0.001	0.999	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.001	0.999	0.000
rs117137044 lBF = `0.0118479` Chr`14` : `37,660,202`	0.001	0.999	0.000
rs7148498 lBF = `-0.0201924` Chr`14` : `96,107,955`	0.001	0.999	0.000
rs2143963 lBF = `0.00021584` Chr`14` : `54,723,923`	0.001	0.999	0.000
rs11626056 lBF = `-0.0289369` Chr`14` : `52,233,276`	0.001	0.999	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.001	0.999	0.000
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rs79578553 lBF = `0.00155831` Chr`14` : `61,595,747`	0.000	0.999	0.000
rs17111920 lBF = `-0.00597461` Chr`14` : `27,406,892`	0.000	0.999	0.000
rs1475010 lBF = `-0.0462433` Chr`14` : `26,136,611`	0.000	0.999	0.000
rs11621145 lBF = `-0.0686413` Chr`14` : `106,172,880`	0.000	0.999	0.000
rs745080 lBF = `-0.0854216` Chr`14` : `52,989,228`	0.001	0.999	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.000	0.999	0.000
rs3783890 lBF = `0.465268` Chr`14` : `93,790,276`	0.000	0.999	0.000
rs10498514 lBF = `0.0521203` Chr`14` : `64,899,055`	0.000	0.999	0.000
rs11627075 lBF = `0.0363587` Chr`14` : `94,972,242`	0.000	0.999	0.000
rs17118552 lBF = `0.0295303` Chr`14` : `47,874,557`	0.000	0.999	0.000
rs117167774 lBF = `-0.00757823` Chr`14` : `48,823,885`	0.000	0.999	0.000
rs1009170 lBF = `-0.0324702` Chr`14` : `92,636,713`	0.000	0.999	0.000
rs2526932 lBF = `-0.0759756` Chr`14` : `73,081,068`	0.000	0.999	0.001
rs8014907 lBF = `-0.0870486` Chr`14` : `92,800,004`	0.000	0.999	0.000
rs7157940 lBF = `-0.0924861` Chr`14` : `94,563,193`	0.000	0.999	0.000
rs1115240 lBF = `-0.0958433` Chr`14` : `27,090,388`	0.000	0.999	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.000	0.999	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.000	0.999	0.000
rs118036572 lBF = `5.2328` Chr`14` : `69,715,870`	0.000	0.999	0.000
rs11623869 lBF = `3.20759` Chr`14` : `103,883,633`	0.000	0.999	0.000
rs55808324 lBF = `0.930699` Chr`14` : `88,444,752`	0.000	0.999	0.000
rs148114321 lBF = `0.639906` Chr`14` : `36,213,442`	0.000	0.999	0.000
rs17108533 lBF = `0.245552` Chr`14` : `71,249,802`	0.000	0.999	0.000
rs17127713 lBF = `0.0575476` Chr`14` : `55,122,918`	0.000	0.999	0.000
rs10143078 lBF = `0.0301057` Chr`14` : `70,881,489`	0.000	0.999	0.000
rs7143963 lBF = `0.0204879` Chr`14` : `103,304,425`	0.000	0.999	0.000
rs116002988 lBF = `0.00796389` Chr`14` : `99,457,437`	0.000	0.999	0.000
rs10136766 lBF = `-0.0497318` Chr`14` : `106,232,585`	0.000	0.999	0.000
rs12050161 lBF = `-0.0594686` Chr`14` : `69,360,631`	0.000	0.999	0.000
rs10142203 lBF = `-0.10264` Chr`14` : `51,704,790`	0.000	0.999	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.000	1.000	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.000	1.000	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.000	1.000	0.000
rs8005161 lBF = `2.02207` Chr`14` : `88,472,595`	0.000	1.000	0.000
rs2144051 lBF = `-0.00137135` Chr`14` : `97,544,573`	0.000	1.000	0.000
rs17197037 lBF = `-0.107735` Chr`14` : `21,725,654`	0.000	1.000	0.000
rs1314913 lBF = `2.73209` Chr`14` : `68,699,594`	0.000	1.000	0.000
rs11159086 lBF = `2.46915` Chr`14` : `74,962,275`	0.000	1.000	0.000
rs8020095 lBF = `0.367851` Chr`14` : `67,453,858`	0.000	1.000	0.000
rs2842339 lBF = `0.299744` Chr`14` : `68,986,999`	0.000	1.000	0.000
rs17799178 lBF = `0.057419` Chr`14` : `90,605,436`	0.000	1.000	0.000
rs117297873 lBF = `0.00850646` Chr`14` : `91,870,330`	0.000	1.000	0.000
rs61985136 lBF = `-0.0305226` Chr`14` : `68,769,199`	0.000	1.000	0.000
rs210359 lBF = `-0.0326598` Chr`14` : `54,167,472`	0.000	1.000	0.000
rs7144481 lBF = `-0.0336444` Chr`14` : `81,610,942`	0.000	1.000	0.000
rs77092939 lBF = `-0.0520716` Chr`14` : `27,048,465`	0.000	1.000	0.000
rs12882406 lBF = `-0.0662645` Chr`14` : `23,812,237`	0.000	1.000	0.000
rs8007846 lBF = `-0.0864345` Chr`14` : `66,262,963`	0.000	1.000	0.000
rs11625034 lBF = `-0.0953113` Chr`14` : `54,349,976`	0.000	1.000	0.000
rs116988415 lBF = `1.2421` Chr`14` : `65,292,145`	0.000	1.000	0.000
rs17111530 lBF = `0.778096` Chr`14` : `81,598,912`	0.000	1.000	0.000
rs12590437 lBF = `0.314604` Chr`14` : `38,447,092`	0.000	1.000	0.000
rs1957894 lBF = `0.0672292` Chr`14` : `61,908,111`	0.000	1.000	0.000
rs55951657 lBF = `0.0422951` Chr`14` : `74,074,732`	0.000	1.000	0.000
rs115102486 lBF = `0.0223896` Chr`14` : `95,764,564`	0.000	1.000	0.000
rs36405 lBF = `0.00308779` Chr`14` : `72,357,937`	0.000	1.000	0.000
rs79162905 lBF = `-0.0220043` Chr`14` : `89,796,072`	0.000	1.000	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.000	1.000	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.000	1.000	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.000	1.000	0.000
rs2039485 lBF = `0.250338` Chr`14` : `32,353,250`	0.000	1.000	0.000
rs1268843 lBF = `0.242755` Chr`14` : `93,644,379`	0.000	1.000	0.000
rs4904947 lBF = `0.107386` Chr`14` : `92,972,162`	0.000	1.000	0.000
rs1957895 lBF = `0.0985856` Chr`14` : `61,908,332`	0.000	1.000	0.000
rs4982029 lBF = `0.00185534` Chr`14` : `33,476,266`	0.000	1.000	0.000
rs8015959 lBF = `0.00116327` Chr`14` : `33,480,922`	0.000	1.000	0.000
rs10484157 lBF = `-0.0207036` Chr`14` : `83,789,345`	0.000	1.000	0.000
rs61227778 lBF = `-0.021244` Chr`14` : `24,578,916`	0.000	1.000	0.000
rs17616316 lBF = `-0.0294953` Chr`14` : `103,822,762`	0.000	1.000	0.000
rs2352908 lBF = `-0.0318376` Chr`14` : `49,437,931`	0.000	1.000	0.000
rs12435908 lBF = `-0.0513858` Chr`14` : `66,121,468`	0.000	1.000	0.000
rs7158872 lBF = `-0.061895` Chr`14` : `49,426,842`	0.000	1.000	0.000
rs405460 lBF = `-0.0701818` Chr`14` : `59,366,315`	0.000	1.000	0.000
rs10147992 lBF = `0.102132` Chr`14` : `25,503,799`	0.000	1.000	0.000
rs7144018 lBF = `0.0675374` Chr`14` : `57,607,067`	0.000	1.000	0.000
rs2488856 lBF = `0.0435537` Chr`14` : `43,531,402`	0.000	1.000	0.000
rs36032616 lBF = `0.00464787` Chr`14` : `72,484,156`	0.000	1.000	0.000
rs111803315 lBF = `-0.00872891` Chr`14` : `59,965,293`	0.000	1.000	0.000
rs1168987 lBF = `-0.0455425` Chr`14` : `36,397,680`	0.000	1.000	0.000
rs367677 lBF = `-0.0506718` Chr`14` : `69,273,090`	0.000	1.000	0.000
rs2360997 lBF = `-0.072538` Chr`14` : `76,812,491`	0.000	1.000	0.000
rs10137082 lBF = `-0.0824696` Chr`14` : `23,840,033`	0.000	1.000	0.000
rs17102423 lBF = `1.06595` Chr`14` : `65,604,728`	0.000	1.000	0.000
rs116909374 lBF = `0.909579` Chr`14` : `36,738,361`	0.000	1.000	0.000
rs2012796 lBF = `0.238873` Chr`14` : `81,810,945`	0.000	1.000	0.000
rs17657012 lBF = `0.0512296` Chr`14` : `55,176,344`	0.000	1.000	0.000
rs1956529 lBF = `0.0214888` Chr`14` : `68,788,924`	0.000	1.000	0.000
rs12897644 lBF = `0.0206732` Chr`14` : `95,838,401`	0.000	1.000	0.000
rs1005224 lBF = `0.0148537` Chr`14` : `76,173,860`	0.000	1.000	0.000
rs2899832 lBF = `0.0137671` Chr`14` : `35,740,941`	0.000	1.000	0.000
rs809 lBF = `0.00554496` Chr`14` : `78,556,464`	0.000	1.000	0.000
rs8005745 lBF = `-0.00505689` Chr`14` : `62,185,295`	0.000	1.000	0.000
rs8017304 lBF = `-0.00927861` Chr`14` : `68,785,077`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9883

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9700

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9667

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9491

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9392

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9337

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9315

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9178

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9123

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9070

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9022

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8978

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8961

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8927

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8862

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8862

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8851

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8768

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8673

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8652

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.8558

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8556

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8540

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8527

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8461

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8374

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8218

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8138

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8101

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7926

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7925

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7831

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7714

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7714

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7659

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7646

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7612

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7545

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7530

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7529

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7453

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7215

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7200

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7104

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7055

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6979

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6882

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6877

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6852

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6839

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6787

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6779

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6777

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6676

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6654

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6643

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6615

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6476

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6403

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6364

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6352

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6340

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6298

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6236

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6157

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6081

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6072

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5908

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5828

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5757

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5694

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5454

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5328

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5169

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5012

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4965

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4795

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4739

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4728

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4690

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4667

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4382

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4233

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4140

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4113

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4098

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4042

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3901

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3842

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3825

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3802

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3801

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3538

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3476

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3370

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3342

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3325

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3154

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3125

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3088

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2972

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2886

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2862

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2727

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2715

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2665

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2600

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2430

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2409

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2362

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2323

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2217

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2047

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2026

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1956

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1906

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1747

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1660

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1540

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1540

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1390

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1354

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1299

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1285

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1280

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1274

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1227

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0862

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0822

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0787

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0771

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0705

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0539

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0537

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`)