TreeWAS – [M47.98] Spondylosis, unspecified (Sacral and sacrococcygeal region)

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
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.669	0.331	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.661	0.339	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.651	0.348	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.649	0.351	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.632	0.368	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.618	0.382	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.611	0.389	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.589	0.411	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.588	0.412	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.586	0.414	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.585	0.415	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.566	0.434	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.558	0.442	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.558	0.442	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.547	0.453	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.541	0.459	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.533	0.467	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.507	0.493	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.492	0.508	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.487	0.513	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.483	0.517	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.482	0.518	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.467	0.533	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.461	0.539	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.448	0.552	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.441	0.559	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.425	0.575	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.416	0.584	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.393	0.607	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.392	0.608	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.384	0.616	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.380	0.619	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.380	0.620	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.369	0.631	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.365	0.635	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.000	0.646	0.354
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.349	0.651	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.348	0.652	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.345	0.655	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.345	0.655	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.336	0.663	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.335	0.664	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.330	0.669	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.329	0.671	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.324	0.676	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.309	0.691	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.308	0.691	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.304	0.696	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.304	0.696	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.301	0.699	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.300	0.700	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.296	0.704	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.293	0.707	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.292	0.707	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.272	0.728	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.267	0.733	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.262	0.738	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.259	0.741	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.255	0.744	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.245	0.755	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.240	0.759	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.234	0.765	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.231	0.769	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.228	0.772	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.227	0.773	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.223	0.777	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.223	0.777	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.221	0.779	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.212	0.788	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.210	0.790	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.208	0.791	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.206	0.794	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.201	0.799	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.183	0.817	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.182	0.818	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.181	0.818	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.180	0.820	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.180	0.820	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.173	0.827	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.171	0.829	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.150	0.850	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.148	0.852	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.147	0.853	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.144	0.855	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.144	0.856	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.139	0.860	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.139	0.861	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.138	0.862	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.137	0.863	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.137	0.863	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.134	0.866	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.131	0.869	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.125	0.875	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.123	0.877	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.121	0.878	0.001
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.120	0.880	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.118	0.882	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.113	0.887	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.112	0.887	0.001
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.111	0.888	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.109	0.890	0.001
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.106	0.894	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.106	0.894	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.104	0.896	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.092	0.907	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.090	0.909	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.089	0.911	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.088	0.912	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.088	0.912	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.085	0.915	0.001
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.084	0.915	0.001
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.083	0.916	0.001
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.083	0.916	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.081	0.918	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.078	0.922	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.076	0.923	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.075	0.925	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.073	0.927	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.072	0.928	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.070	0.929	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.069	0.930	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.067	0.933	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.066	0.933	0.001
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.066	0.934	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.064	0.936	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.056	0.944	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.052	0.947	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.052	0.947	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.051	0.948	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.051	0.949	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.050	0.949	0.001
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.050	0.949	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	0.951	0.049
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.048	0.951	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.047	0.953	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.047	0.953	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.044	0.955	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.041	0.958	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.041	0.959	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.034	0.965	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.968	0.032
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.026	0.974	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.025	0.975	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.024	0.975	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.024	0.976	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.023	0.976	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.023	0.977	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.020	0.979	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.018	0.981	0.001
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.017	0.983	0.001
rs2770228 lBF = `-0.00894791` Chr`13` : `98,200,572`	0.014	0.986	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.009	0.990	0.002
rs913246 lBF = `0.46896` Chr`13` : `40,948,151`	0.010	0.990	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.010	0.990	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.010	0.990	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.009	0.991	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.009	0.991	0.000
rs1372791 lBF = `-0.0148722` Chr`13` : `106,785,265`	0.008	0.992	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.006	0.993	0.001
rs68151129 lBF = `0.438048` Chr`13` : `94,983,445`	0.007	0.993	0.000
rs9315632 lBF = `0.319659` Chr`13` : `39,516,627`	0.000	0.993	0.006
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.006	0.994	0.000
rs11616416 lBF = `-0.0855914` Chr`13` : `29,836,251`	0.000	0.994	0.006
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.005	0.994	0.000
rs319564 lBF = `-0.0148095` Chr`13` : `93,832,879`	0.005	0.994	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.005	0.995	0.000
rs9594293 lBF = `0.0381137` Chr`13` : `39,370,595`	0.000	0.995	0.005
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.004	0.995	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.004	0.996	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.004	0.996	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.004	0.996	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.003	0.996	0.001
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.004	0.996	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.003	0.997	0.000
rs7336332 lBF = `-0.0157861` Chr`13` : `28,058,404`	0.003	0.997	0.000
rs4942242 lBF = `-0.0187406` Chr`13` : `44,217,064`	0.003	0.997	0.000
rs143258881 lBF = `-0.0119224` Chr`13` : `93,945,858`	0.000	0.997	0.003
rs7995618 lBF = `-0.0178469` Chr`13` : `90,014,489`	0.000	0.997	0.003
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.002	0.997	0.000
rs34073438 lBF = `-0.0251837` Chr`13` : `84,131,396`	0.003	0.997	0.000
rs9561428 lBF = `-0.0182564` Chr`13` : `94,341,096`	0.000	0.998	0.002
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.002	0.998	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.002	0.998	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.002	0.998	0.000
rs9533962 lBF = `-0.0234044` Chr`13` : `45,334,194`	0.002	0.998	0.000
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.998	0.002
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.002	0.998	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.002	0.998	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs10508196 lBF = `-0.0462467` Chr`13` : `108,479,966`	0.002	0.998	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.002	0.998	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	0.998	0.002
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.001	0.998	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.998	0.000
rs17649135 lBF = `0.00345178` Chr`13` : `57,994,710`	0.001	0.998	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.002	0.998	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.001	0.998	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.001	0.998	0.000
rs1509091 lBF = `0.0291212` Chr`13` : `108,491,592`	0.000	0.998	0.001
rs518590 lBF = `-0.0737026` Chr`13` : `22,305,099`	0.000	0.998	0.001
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rs7322722 lBF = `-0.0599777` Chr`13` : `77,879,376`	0.000	1.000	0.000
rs201789 lBF = `0.287036` Chr`13` : `50,986,118`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs7323507 lBF = `0.0323187` Chr`13` : `110,572,210`	0.000	1.000	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.000	1.000	0.000
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.000	1.000	0.000
rs11838472 lBF = `-0.0154451` Chr`13` : `73,741,149`	0.000	1.000	0.000
rs1218282 lBF = `-0.0182198` Chr`13` : `79,455,832`	0.000	1.000	0.000
rs35540212 lBF = `-0.0279034` Chr`13` : `36,768,682`	0.000	1.000	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	1.000	0.000
rs9302001 lBF = `-0.0565217` Chr`13` : `95,463,392`	0.000	1.000	0.000
rs10162002 lBF = `-0.0573758` Chr`13` : `24,042,510`	0.000	1.000	0.000
rs3125719 lBF = `-0.0868272` Chr`13` : `29,990,966`	0.000	1.000	0.000
rs954108 lBF = `-0.0893071` Chr`13` : `29,368,706`	0.000	1.000	0.000
rs9556893 lBF = `-0.107316` Chr`13` : `98,831,595`	0.000	1.000	0.000
rs11069349 lBF = `0.275302` Chr`13` : `99,774,647`	0.000	1.000	0.000
rs9537938 lBF = `0.142886` Chr`13` : `58,653,695`	0.000	1.000	0.000
rs4526895 lBF = `0.06979` Chr`13` : `39,350,890`	0.000	1.000	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.000	1.000	0.000
rs9563576 lBF = `0.00138443` Chr`13` : `58,670,147`	0.000	1.000	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.000	1.000	0.000
rs4773054 lBF = `-0.00277264` Chr`13` : `110,154,028`	0.000	1.000	0.000
rs7324021 lBF = `-0.00440337` Chr`13` : `20,637,140`	0.000	1.000	0.000
rs728926 lBF = `-0.0254835` Chr`13` : `74,513,122`	0.000	1.000	0.000
rs11618212 lBF = `-0.0295391` Chr`13` : `106,096,812`	0.000	1.000	0.000
rs4083578 lBF = `-0.0385411` Chr`13` : `72,768,709`	0.000	1.000	0.000
rs73197788 lBF = `-0.0401139` Chr`13` : `54,593,717`	0.000	1.000	0.000
rs9573330 lBF = `-0.0480678` Chr`13` : `74,518,210`	0.000	1.000	0.000
rs2315885 lBF = `-0.0642407` Chr`13` : `55,984,996`	0.000	1.000	0.000
rs61970269 lBF = `-0.0695155` Chr`13` : `91,732,770`	0.000	1.000	0.000
rs2066219 lBF = `-0.0771924` Chr`13` : `69,530,664`	0.000	1.000	0.000
rs488248 lBF = `-0.097073` Chr`13` : `106,596,719`	0.000	1.000	0.000
rs7984869 lBF = `-0.10427` Chr`13` : `86,690,527`	0.000	1.000	0.000
rs9572182 lBF = `-0.121281` Chr`13` : `70,086,330`	0.000	1.000	0.000
rs12429889 lBF = `0.314078` Chr`13` : `74,742,322`	0.000	1.000	0.000
rs6561750 lBF = `0.123951` Chr`13` : `54,435,237`	0.000	1.000	0.000
rs9301951 lBF = `0.0932238` Chr`13` : `94,952,832`	0.000	1.000	0.000
rs1926657 lBF = `0.0582323` Chr`13` : `95,874,956`	0.000	1.000	0.000
rs9528384 lBF = `0.00656869` Chr`13` : `62,302,565`	0.000	1.000	0.000
rs2483374 lBF = `-0.00709926` Chr`13` : `25,533,831`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs814141 lBF = `-0.0324034` Chr`13` : `109,511,059`	0.000	1.000	0.000
rs1575891 lBF = `-0.049822` Chr`13` : `48,198,716`	0.000	1.000	0.000
rs2204037 lBF = `-0.0756867` Chr`13` : `63,436,800`	0.000	1.000	0.000
rs9533090 lBF = `0.311508` Chr`13` : `42,951,449`	0.000	1.000	0.000
rs1192201 lBF = `0.25583` Chr`13` : `110,806,490`	0.000	1.000	0.000
rs2325244 lBF = `0.200622` Chr`13` : `70,430,093`	0.000	1.000	0.000
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.000	1.000	0.000
rs9568281 lBF = `0.0326215` Chr`13` : `50,185,204`	0.000	1.000	0.000
rs9557321 lBF = `0.0184571` Chr`13` : `100,521,101`	0.000	1.000	0.000
rs11841001 lBF = `-0.019701` Chr`13` : `76,249,103`	0.000	1.000	0.000
rs2036707 lBF = `-0.021407` Chr`13` : `108,484,454`	0.000	1.000	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	0.000	1.000	0.000
rs17538444 lBF = `-0.0368705` Chr`13` : `43,834,270`	0.000	1.000	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.000	1.000	0.000
rs9526114 lBF = `0.0297745` Chr`13` : `46,408,037`	0.000	1.000	0.000
rs2391776 lBF = `0.0283931` Chr`13` : `110,243,425`	0.000	1.000	0.000
rs9540294 lBF = `0.00420883` Chr`13` : `65,564,031`	0.000	1.000	0.000
rs9548119 lBF = `0.00251943` Chr`13` : `38,531,581`	0.000	1.000	0.000
rs17714988 lBF = `-0.00333833` Chr`13` : `74,995,660`	0.000	1.000	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	1.000	0.000
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.000	1.000	0.000
rs9646096 lBF = `-0.0201529` Chr`13` : `38,065,446`	0.000	1.000	0.000
rs3736830 lBF = `-0.02483` Chr`13` : `50,306,221`	0.000	1.000	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	1.000	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.000	1.000	0.000
rs71440053 lBF = `-0.0369171` Chr`13` : `110,829,882`	0.000	1.000	0.000
rs6563695 lBF = `-0.0430247` Chr`13` : `39,903,243`	0.000	1.000	0.000
rs9535307 lBF = `-0.0456365` Chr`13` : `50,291,842`	0.000	1.000	0.000
rs4773460 lBF = `-0.0614274` Chr`13` : `87,242,857`	0.000	1.000	0.000
rs1550546 lBF = `-0.0725951` Chr`13` : `70,658,404`	0.000	1.000	0.000
rs11070098 lBF = `-0.0890338` Chr`13` : `95,505,262`	0.000	1.000	0.000
rs10492418 lBF = `-0.125478` Chr`13` : `109,380,726`	0.000	1.000	0.000
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	1.000	0.000
rs9594738 lBF = `0.470652` Chr`13` : `42,952,145`	0.000	1.000	0.000
rs9554348 lBF = `0.224776` Chr`13` : `97,012,355`	0.000	1.000	0.000
rs2755237 lBF = `0.206837` Chr`13` : `41,109,429`	0.000	1.000	0.000
rs718444 lBF = `0.179442` Chr`13` : `33,147,052`	0.000	1.000	0.000
rs10492604 lBF = `0.0831316` Chr`13` : `58,904,313`	0.000	1.000	0.000
rs4771122 lBF = `0.0536677` Chr`13` : `28,020,180`	0.000	1.000	0.000
rs2875517 lBF = `0.0316769` Chr`13` : `67,696,145`	0.000	1.000	0.000
rs9599293 lBF = `-0.0073785` Chr`13` : `35,165,390`	0.000	1.000	0.000
rs16945184 lBF = `-0.0114295` Chr`13` : `91,755,199`	0.000	1.000	0.000
rs1161463 lBF = `-0.0261927` Chr`13` : `29,431,338`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	1.000	0.000
rs9535020 lBF = `-0.0486569` Chr`13` : `48,923,808`	0.000	1.000	0.000
rs7999075 lBF = `-0.0558227` Chr`13` : `22,620,207`	0.000	1.000	0.000
rs12428035 lBF = `-0.0567497` Chr`13` : `96,300,872`	0.000	1.000	0.000
rs6563569 lBF = `-0.0634367` Chr`13` : `38,260,408`	0.000	1.000	0.000
rs155076 lBF = `-0.0755439` Chr`13` : `21,870,114`	0.000	1.000	0.000
rs1572072 lBF = `-0.0852048` Chr`13` : `24,127,210`	0.000	1.000	0.000
rs4148546 lBF = `-0.095207` Chr`13` : `95,680,285`	0.000	1.000	0.000
rs11617955 lBF = `16.8324` Chr`13` : `110,818,102`	0.000	1.000	0.000
rs7323885 lBF = `10.2319` Chr`13` : `24,782,560`	0.000	1.000	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.000	1.000	0.000
rs1262778 lBF = `2.84638` Chr`13` : `51,066,623`	0.000	1.000	0.000
rs17798800 lBF = `1.16738` Chr`13` : `34,950,527`	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 X0080

log Bayes Factor = 455.123

contains 21 variants

0.9417

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8935

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.8526

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8372

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8308

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8288

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8156

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.7842

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7479

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7169

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7169

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7169

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7169

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7167

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7166

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7166

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7166

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7164

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7163

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7160

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7157

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7157

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7154

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7132

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7131

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7131

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7129

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7124

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7121

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7120

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7113

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7099

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7099

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7097

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7092

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7056

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7036

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7027

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7026

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7001

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6987

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6984

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6954

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6900

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6888

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6835

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.6768

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6579

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6566

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6475

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6394

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6386

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6369

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6354

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6334

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6328

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6257

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6209

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6199

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6196

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6159

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6129

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6028

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6027

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5926

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5854

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5853

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5836

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5737

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5617

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5607

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5568

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5554

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5538

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5487

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5422

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5382

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5273

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5237

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4972

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4815

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4786

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4514

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4446

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4063

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4047

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3935

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3797

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3740

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3671

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3550

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3535

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3437

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3431

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3363

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3348

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3047

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3033

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2995

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2961

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2945

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.2892

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2860

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2838

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2818

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2807

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2803

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2672

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2553

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2522

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2451

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2417

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2332

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2297

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2200

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2195

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2143

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2126

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2051

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1841

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1831

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1830

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1770

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1762

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1738

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1721

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1630

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1627

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1445

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1438

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1315

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1307

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1220

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1186

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1163

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1146

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1128

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1008

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0943

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0909

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0907

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0793

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0782

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0698

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0690

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0686

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0672

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0638

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0586

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0516

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`)