TreeWAS – [S02.50] Fracture of tooth (closed)

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
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.885	0.115	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.564	0.436	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.552	0.448	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.542	0.458	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.533	0.467	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.522	0.478	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.521	0.479	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.515	0.485	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.499	0.500	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.498	0.502	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.489	0.511	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.488	0.512	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.472	0.528	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.466	0.534	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.465	0.535	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.463	0.536	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.457	0.543	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.452	0.548	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.445	0.555	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.439	0.561	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.437	0.562	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.433	0.567	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.432	0.568	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.428	0.571	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.426	0.573	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.424	0.576	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.424	0.576	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.424	0.576	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.417	0.583	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.415	0.585	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.411	0.589	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.407	0.593	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.407	0.593	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.401	0.598	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.400	0.599	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.392	0.608	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.382	0.618	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.381	0.619	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.380	0.619	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.380	0.620	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.379	0.621	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.377	0.623	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.360	0.640	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.360	0.640	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.352	0.647	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.344	0.656	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.342	0.658	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.339	0.660	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.337	0.663	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.331	0.669	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.330	0.670	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.326	0.674	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.325	0.675	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.324	0.676	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.324	0.676	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.323	0.676	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.323	0.677	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.319	0.680	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.317	0.682	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.316	0.684	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.316	0.684	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.315	0.685	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.314	0.686	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.308	0.692	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.306	0.694	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.302	0.698	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.300	0.700	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.300	0.700	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.294	0.706	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.288	0.712	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.280	0.720	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.280	0.720	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.276	0.723	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.270	0.730	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.269	0.730	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.268	0.732	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.256	0.743	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.253	0.747	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.251	0.749	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.248	0.752	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.247	0.753	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.247	0.753	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.244	0.755	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.242	0.758	0.001
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.239	0.761	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.235	0.765	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.230	0.770	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.225	0.775	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.221	0.779	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.220	0.780	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.218	0.782	0.000
rs12873154 lBF = `5.39657` Chr`13` : `110,920,852`	0.218	0.782	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.218	0.782	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.217	0.783	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.215	0.785	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.211	0.788	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.210	0.790	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.210	0.790	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.209	0.791	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.207	0.792	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.207	0.793	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.206	0.794	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.203	0.796	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.197	0.803	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.195	0.804	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.193	0.806	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.192	0.808	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.190	0.809	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.189	0.811	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.188	0.811	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.179	0.820	0.001
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.179	0.821	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.176	0.823	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.172	0.828	0.001
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.170	0.830	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.167	0.833	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.162	0.837	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.145	0.855	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.144	0.855	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.142	0.857	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.142	0.858	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.137	0.863	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.129	0.870	0.001
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.128	0.871	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.126	0.874	0.001
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.125	0.874	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.123	0.877	0.001
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.117	0.883	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.114	0.886	0.001
rs2148072 lBF = `0.0194161` Chr`13` : `43,162,063`	0.111	0.889	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.108	0.892	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.106	0.894	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.104	0.896	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.100	0.900	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.095	0.904	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.092	0.907	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.092	0.908	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.091	0.908	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.076	0.923	0.001
rs11149178 lBF = `0.0600419` Chr`13` : `81,357,671`	0.077	0.923	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.069	0.931	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.061	0.938	0.001
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.058	0.941	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.053	0.947	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.052	0.948	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.051	0.949	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.049	0.951	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.044	0.955	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.044	0.956	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.043	0.957	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.041	0.958	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.959	0.040
rs9584669 lBF = `0.111773` Chr`13` : `98,363,482`	0.032	0.968	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.030	0.969	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.028	0.971	0.001
rs7987251 lBF = `0.0261308` Chr`13` : `60,279,818`	0.027	0.972	0.001
rs7986704 lBF = `0.0261308` Chr`13` : `60,279,546`	0.027	0.972	0.001
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.024	0.976	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.023	0.976	0.001
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.021	0.979	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.020	0.980	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.016	0.983	0.001
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.016	0.984	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.013	0.987	0.000
rs2277425 lBF = `-0.0251482` Chr`13` : `111,522,258`	0.000	0.988	0.012
rs9319321 lBF = `0.0395264` Chr`13` : `27,415,673`	0.010	0.990	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.008	0.992	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.006	0.993	0.001
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.006	0.993	0.001
rs2991396 lBF = `-0.0667686` Chr`13` : `67,889,386`	0.007	0.993	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.005	0.994	0.000
rs12868495 lBF = `0.0035367` Chr`13` : `34,641,562`	0.005	0.995	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.004	0.995	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.004	0.995	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.004	0.996	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.004	0.996	0.000
rs9315385 lBF = `0.00077407` Chr`13` : `36,663,302`	0.000	0.996	0.004
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.004	0.996	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.004	0.996	0.000
rs11619878 lBF = `-0.0616792` Chr`13` : `66,212,020`	0.000	0.996	0.004
rs2687950 lBF = `0.261575` Chr`13` : `50,718,468`	0.004	0.996	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.003	0.996	0.000
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.003	0.996	0.000
rs9596219 lBF = `0.31189` Chr`13` : `50,563,447`	0.003	0.997	0.000
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.003	0.997	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.003	0.997	0.000
rs626277 lBF = `0.00642214` Chr`13` : `72,347,696`	0.003	0.997	0.000
rs716877 lBF = `-0.00736188` Chr`13` : `72,347,448`	0.000	0.997	0.003
rs285098 lBF = `-0.0731234` Chr`13` : `98,827,035`	0.000	0.997	0.003
rs1146942 lBF = `-0.080268` Chr`13` : `80,819,729`	0.003	0.997	0.000
rs1335587 lBF = `1.93357` Chr`13` : `102,145,560`	0.003	0.997	0.000
rs7097 lBF = `-0.0579812` Chr`13` : `28,197,436`	0.000	0.997	0.003
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.003	0.997	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.002	0.997	0.000
rs9600103 lBF = `0.0750118` Chr`13` : `73,811,879`	0.003	0.997	0.000
rs584480 lBF = `-0.0158913` Chr`13` : `72,345,505`	0.003	0.997	0.000
rs9517302 lBF = `-0.0314608` Chr`13` : `99,096,034`	0.000	0.997	0.003
rs957788 lBF = `-0.0559028` Chr`13` : `108,257,220`	0.003	0.997	0.000
rs9316500 lBF = `1.74026` Chr`13` : `51,094,114`	0.000	0.997	0.003
rs4886088 lBF = `-0.0643618` Chr`13` : `59,128,526`	0.002	0.997	0.000
rs2031532 lBF = `0.8144` Chr`13` : `50,080,847`	0.000	0.997	0.002
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.002	0.997	0.000
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rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.001	0.999	0.000
rs9513373 lBF = `0.00904787` Chr`13` : `98,866,996`	0.000	0.999	0.000
rs563538 lBF = `-0.00887784` Chr`13` : `37,433,721`	0.000	0.999	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.001	0.999	0.000
rs155076 lBF = `-0.0755439` Chr`13` : `21,870,114`	0.001	0.999	0.000
rs9533799 lBF = `-0.117337` Chr`13` : `44,808,174`	0.000	0.999	0.001
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	0.999	0.001
rs4770394 lBF = `0.00588362` Chr`13` : `23,692,978`	0.000	0.999	0.000
rs9559377 lBF = `-0.0172298` Chr`13` : `109,264,870`	0.000	0.999	0.000
rs1218282 lBF = `-0.0182198` Chr`13` : `79,455,832`	0.000	0.999	0.001
rs17667497 lBF = `-0.0685403` Chr`13` : `91,619,229`	0.000	0.999	0.001
rs9563960 lBF = `-0.101208` Chr`13` : `62,930,300`	0.000	0.999	0.001
rs9556958 lBF = `0.0920075` Chr`13` : `99,100,046`	0.000	0.999	0.001
rs9580312 lBF = `0.00270428` Chr`13` : `22,754,093`	0.000	0.999	0.001
rs13542 lBF = `-0.0202939` Chr`13` : `100,638,392`	0.000	0.999	0.001
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	0.999	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	0.999	0.001
rs9302065 lBF = `0.280585` Chr`13` : `95,971,016`	0.001	0.999	0.000
rs17064136 lBF = `0.0807938` Chr`13` : `21,815,869`	0.000	0.999	0.000
rs79709413 lBF = `0.0165564` Chr`13` : `25,314,626`	0.000	0.999	0.001
rs35540212 lBF = `-0.0279034` Chr`13` : `36,768,682`	0.001	0.999	0.000
rs10507380 lBF = `-0.030208` Chr`13` : `27,879,526`	0.000	0.999	0.001
rs2352028 lBF = `-0.0510522` Chr`13` : `92,445,229`	0.000	0.999	0.001
rs34065801 lBF = `0.422801` Chr`13` : `36,531,548`	0.000	0.999	0.001
rs11838776 lBF = `0.272241` Chr`13` : `111,040,681`	0.000	0.999	0.001
rs17649135 lBF = `0.00345178` Chr`13` : `57,994,710`	0.000	0.999	0.001
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.001	0.999	0.000
rs589636 lBF = `-0.04866` Chr`13` : `77,516,576`	0.001	0.999	0.000
rs9525916 lBF = `0.17004` Chr`13` : `44,702,869`	0.001	0.999	0.000
rs9301951 lBF = `0.0932238` Chr`13` : `94,952,832`	0.000	0.999	0.000
rs548097 lBF = `0.0503721` Chr`13` : `75,776,268`	0.000	0.999	0.000
rs7328278 lBF = `0.0487745` Chr`13` : `36,351,766`	0.000	0.999	0.000
rs56404467 lBF = `0.0153721` Chr`13` : `32,839,990`	0.000	0.999	0.000
rs9508025 lBF = `-0.0065922` Chr`13` : `28,984,063`	0.000	0.999	0.001
rs9634489 lBF = `-0.018318` Chr`13` : `97,049,004`	0.001	0.999	0.000
rs9513627 lBF = `-0.0264286` Chr`13` : `100,196,952`	0.000	0.999	0.000
rs9919839 lBF = `-0.0581421` Chr`13` : `72,174,353`	0.001	0.999	0.000
rs11149058 lBF = `-0.0762203` Chr`13` : `77,552,271`	0.000	0.999	0.001
rs4883955 lBF = `-0.0896667` Chr`13` : `74,433,807`	0.001	0.999	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.000	0.999	0.000
rs150841795 lBF = `0.142928` Chr`13` : `54,137,749`	0.001	0.999	0.000
rs9596837 lBF = `0.0540929` Chr`13` : `54,258,063`	0.001	0.999	0.000
rs302010 lBF = `0.00837433` Chr`13` : `70,719,462`	0.000	0.999	0.000
rs79490558 lBF = `-0.00311595` Chr`13` : `45,886,186`	0.000	0.999	0.000
rs9565309 lBF = `-0.0108052` Chr`13` : `77,577,027`	0.000	0.999	0.000
rs10508196 lBF = `-0.0462467` Chr`13` : `108,479,966`	0.000	0.999	0.001
rs10162002 lBF = `-0.0573758` Chr`13` : `24,042,510`	0.001	0.999	0.000
rs7322722 lBF = `-0.0599777` Chr`13` : `77,879,376`	0.000	0.999	0.001
rs9513675 lBF = `-0.0960263` Chr`13` : `100,493,160`	0.000	0.999	0.001
rs9572182 lBF = `-0.121281` Chr`13` : `70,086,330`	0.001	0.999	0.000
rs679805 lBF = `6.99103` Chr`13` : `80,747,701`	0.001	0.999	0.000
rs9540493 lBF = `0.203441` Chr`13` : `66,205,704`	0.001	0.999	0.000
rs9536463 lBF = `0.1609` Chr`13` : `54,132,247`	0.001	0.999	0.000
rs1323612 lBF = `0.12918` Chr`13` : `43,291,289`	0.000	0.999	0.000
rs1509091 lBF = `0.0291212` Chr`13` : `108,491,592`	0.000	0.999	0.000
rs11838472 lBF = `-0.0154451` Chr`13` : `73,741,149`	0.000	0.999	0.000
rs9578438 lBF = `-0.0319063` Chr`13` : `22,729,205`	0.000	0.999	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	0.000	0.999	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.001	0.999	0.000
rs7332115 lBF = `0.86443` Chr`13` : `33,147,548`	0.000	0.999	0.001
rs9595908 lBF = `0.339609` Chr`13` : `33,184,288`	0.000	0.999	0.001
rs201789 lBF = `0.287036` Chr`13` : `50,986,118`	0.000	0.999	0.001
rs718444 lBF = `0.179442` Chr`13` : `33,147,052`	0.000	0.999	0.001
rs2770228 lBF = `-0.00894791` Chr`13` : `98,200,572`	0.000	0.999	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	0.999	0.000
rs9534578 lBF = `-0.0245164` Chr`13` : `47,843,377`	0.000	0.999	0.001
rs1590305 lBF = `-0.0249349` Chr`13` : `38,035,189`	0.000	0.999	0.000
rs1326116 lBF = `-0.0573124` Chr`13` : `26,375,046`	0.001	0.999	0.000
rs7327673 lBF = `-0.0810812` Chr`13` : `106,439,366`	0.000	0.999	0.001
rs913246 lBF = `0.46896` Chr`13` : `40,948,151`	0.000	0.999	0.000
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	0.999	0.000
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.000	0.999	0.000
rs1155848 lBF = `0.0842416` Chr`13` : `79,888,476`	0.000	0.999	0.000
rs8001976 lBF = `-0.0239032` Chr`13` : `48,387,722`	0.001	0.999	0.000
rs9317284 lBF = `-0.0274082` Chr`13` : `63,634,350`	0.000	0.999	0.001
rs915286 lBF = `-0.085443` Chr`13` : `40,695,992`	0.000	0.999	0.000
rs9554348 lBF = `0.224776` Chr`13` : `97,012,355`	0.000	0.999	0.000
rs1335882 lBF = `0.0445703` Chr`13` : `56,832,272`	0.000	0.999	0.001
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.000	0.999	0.000
rs9557321 lBF = `0.0184571` Chr`13` : `100,521,101`	0.000	0.999	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.000	0.999	0.001
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	0.999	0.000
rs11840092 lBF = `-0.00062898` Chr`13` : `58,114,748`	0.000	0.999	0.000
rs1006064 lBF = `-0.00100883` Chr`13` : `51,846,605`	0.000	0.999	0.000
rs688872 lBF = `-0.00713596` Chr`13` : `98,966,317`	0.001	0.999	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	0.999	0.000
rs7326068 lBF = `-0.0194431` Chr`13` : `21,209,512`	0.000	0.999	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	0.999	0.000
rs1923834 lBF = `-0.037854` Chr`13` : `28,360,487`	0.000	0.999	0.000
rs12583882 lBF = `-0.0542978` Chr`13` : `47,573,616`	0.000	0.999	0.000
rs954108 lBF = `-0.0893071` Chr`13` : `29,368,706`	0.000	0.999	0.000
rs11617955 lBF = `16.8324` Chr`13` : `110,818,102`	0.000	0.999	0.000
rs1359790 lBF = `7.18734` Chr`13` : `80,717,156`	0.000	0.999	0.001
rs17085007 lBF = `1.29436` Chr`13` : `27,531,267`	0.000	0.999	0.000
rs9510787 lBF = `0.0167471` Chr`13` : `24,205,195`	0.000	0.999	0.001
rs2997105 lBF = `0.00578687` Chr`13` : `56,378,424`	0.000	0.999	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2738

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1676

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9667

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9510

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9374

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9354

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9300

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9270

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9124

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9123

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8909

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8875

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8860

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8804

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8788

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8680

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8636

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8570

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8485

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8430

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8317

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8193

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8184

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8120

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8110

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8027

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7964

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7946

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7892

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7872

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7785

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7743

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7706

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7662

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7657

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7656

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7645

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7588

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7549

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7498

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7494

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7486

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7399

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7395

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7279

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7230

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7191

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7131

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7109

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7046

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7029

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7021

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7007

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6974

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6929

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6884

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6853

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6848

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6769

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6696

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6673

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6636

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6625

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6606

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6584

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6560

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6514

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6419

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6363

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6352

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6322

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6259

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6258

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6258

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6242

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6199

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6176

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6138

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6001

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5998

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5978

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5929

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5867

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5853

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5781

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5774

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5759

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5753

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5728

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5725

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5656

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5635

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5611

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5570

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5493

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5470

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5395

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5287

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5276

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5185

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5176

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5154

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4992

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4990

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4982

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4949

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4949

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4874

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4856

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4849

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4818

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4795

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4792

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4759

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4691

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4645

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4531

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4518

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4440

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4426

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4384

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4335

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4266

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4256

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4222

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3986

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3968

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3959

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3652

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3571

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3410

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3405

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3384

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3349

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3333

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3280

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3263

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3219

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3115

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2987

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2946

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2887

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2838

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2835

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2601

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2580

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2531

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2482

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2338

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2329

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2309

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1946

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1716

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1672

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1654

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1584

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1573

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1563

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1553

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1513

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1480

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1420

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1348

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1333

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1276

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1249

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1170

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1080

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1079

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1012

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0965

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0853

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0845

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0755

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0738

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0677

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`)