TreeWAS – [M47.8] Other spondylosis

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
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.976	0.024	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.968	0.032	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.938	0.062	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.918	0.082	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.913	0.087	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.911	0.089	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.900	0.100	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.896	0.104	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.882	0.118	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.854	0.146	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.833	0.167	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.806	0.194	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.765	0.235	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.733	0.267	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.733	0.267	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.732	0.268	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.721	0.279	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.694	0.306	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.693	0.307	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.684	0.316	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.678	0.322	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.654	0.346	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.634	0.366	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.601	0.399	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.585	0.415	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.566	0.434	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.565	0.435	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.554	0.446	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.525	0.475	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.523	0.477	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.511	0.489	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.511	0.489	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.501	0.498	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.000	0.501	0.499
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.496	0.504	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.493	0.507	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.484	0.516	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.473	0.527	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.470	0.530	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.463	0.537	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.462	0.538	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.443	0.557	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.442	0.558	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.431	0.569	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.430	0.570	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.429	0.571	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.420	0.580	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.415	0.585	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.397	0.603	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.388	0.612	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.380	0.620	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.369	0.631	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.366	0.634	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.362	0.638	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.359	0.641	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.358	0.642	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.357	0.643	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.355	0.645	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.352	0.648	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.345	0.655	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.339	0.661	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.336	0.663	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.331	0.668	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.312	0.688	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.310	0.690	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.308	0.692	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.303	0.696	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.302	0.698	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.289	0.711	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.268	0.732	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.266	0.734	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.260	0.740	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.257	0.743	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.255	0.745	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.254	0.746	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.252	0.748	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.249	0.751	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.249	0.751	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.245	0.755	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.244	0.756	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.237	0.763	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.235	0.765	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.234	0.766	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.233	0.767	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.223	0.777	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.221	0.779	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.220	0.780	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.219	0.780	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.213	0.787	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.213	0.787	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.206	0.794	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.206	0.794	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.195	0.805	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.186	0.814	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.185	0.815	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.182	0.818	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.182	0.818	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.179	0.821	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.176	0.824	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.150	0.850	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.149	0.850	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.148	0.852	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.148	0.852	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.146	0.854	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.145	0.855	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.138	0.862	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.138	0.862	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.134	0.866	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.131	0.869	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.130	0.869	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.123	0.877	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.121	0.879	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.118	0.882	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.110	0.890	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.104	0.896	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.094	0.905	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.091	0.909	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.090	0.909	0.001
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.089	0.910	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.089	0.911	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.082	0.918	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.082	0.918	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.080	0.920	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.080	0.920	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.071	0.929	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.071	0.929	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.939	0.060
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.060	0.940	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.054	0.945	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.054	0.946	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.054	0.946	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.050	0.949	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.050	0.950	0.000
rs68151129 lBF = `0.438048` Chr`13` : `94,983,445`	0.050	0.950	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.046	0.954	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.046	0.954	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.044	0.956	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.042	0.958	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.039	0.961	0.000
rs319564 lBF = `-0.0148095` Chr`13` : `93,832,879`	0.037	0.963	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.036	0.964	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.035	0.965	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.031	0.969	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.030	0.970	0.000
rs2770228 lBF = `-0.00894791` Chr`13` : `98,200,572`	0.028	0.972	0.000
rs518590 lBF = `-0.0737026` Chr`13` : `22,305,099`	0.000	0.972	0.028
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.026	0.973	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.024	0.975	0.002
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.020	0.975	0.005
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.023	0.977	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.018	0.982	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.016	0.984	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.014	0.985	0.001
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.014	0.985	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.013	0.987	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.012	0.988	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.011	0.989	0.000
rs1372791 lBF = `-0.0148722` Chr`13` : `106,785,265`	0.011	0.989	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.011	0.989	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.008	0.990	0.002
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.008	0.992	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.008	0.992	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	0.992	0.008
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.007	0.993	0.000
rs7995618 lBF = `-0.0178469` Chr`13` : `90,014,489`	0.000	0.993	0.007
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.006	0.994	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.006	0.994	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.005	0.994	0.001
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.005	0.994	0.000
rs913246 lBF = `0.46896` Chr`13` : `40,948,151`	0.005	0.994	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.995	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.005	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.005	0.995	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.004	0.996	0.000
rs1006064 lBF = `-0.00100883` Chr`13` : `51,846,605`	0.003	0.997	0.000
rs285098 lBF = `-0.0731234` Chr`13` : `98,827,035`	0.003	0.997	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.997	0.000
rs9559203 lBF = `0.025885` Chr`13` : `108,664,754`	0.003	0.997	0.000
rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.000	0.997	0.003
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.003	0.997	0.000
rs4942242 lBF = `-0.0187406` Chr`13` : `44,217,064`	0.003	0.997	0.000
rs2027099 lBF = `0.0452098` Chr`13` : `67,043,092`	0.000	0.997	0.003
rs9561428 lBF = `-0.0182564` Chr`13` : `94,341,096`	0.000	0.997	0.003
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.003	0.997	0.000
rs143258881 lBF = `-0.0119224` Chr`13` : `93,945,858`	0.000	0.997	0.003
rs17649135 lBF = `0.00345178` Chr`13` : `57,994,710`	0.003	0.997	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.997	0.000
rs9513675 lBF = `-0.0960263` Chr`13` : `100,493,160`	0.002	0.998	0.000
rs7336332 lBF = `-0.0157861` Chr`13` : `28,058,404`	0.002	0.998	0.000
rs2391776 lBF = `0.0283931` Chr`13` : `110,243,425`	0.000	0.998	0.002
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs7325799 lBF = `0.132576` Chr`13` : `47,128,601`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.998	0.000
rs11618202 lBF = `0.0119955` Chr`13` : `31,113,379`	0.002	0.998	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.002	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs941823 lBF = `1.21705` Chr`13` : `41,013,977`	0.000	0.998	0.002
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.002	0.998	0.000
rs2066219 lBF = `-0.0771924` Chr`13` : `69,530,664`	0.000	0.998	0.002
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
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rs11617955 lBF = `16.8324` Chr`13` : `110,818,102`	0.000	1.000	0.000
rs2062305 lBF = `2.53248` Chr`13` : `43,052,880`	0.000	1.000	0.000
rs9595908 lBF = `0.339609` Chr`13` : `33,184,288`	0.000	1.000	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	1.000	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.000	1.000	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.000	1.000	0.000
rs9580312 lBF = `0.00270428` Chr`13` : `22,754,093`	0.000	1.000	0.000
rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.000	1.000	0.000
rs3790022 lBF = `-0.0147772` Chr`13` : `51,576,170`	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
rs11841001 lBF = `-0.019701` Chr`13` : `76,249,103`	0.000	1.000	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs9512900 lBF = `-0.02378` Chr`13` : `28,429,738`	0.000	1.000	0.000
rs17655948 lBF = `-0.0324613` Chr`13` : `106,067,920`	0.000	1.000	0.000
rs9652236 lBF = `-0.0460187` Chr`13` : `72,688,774`	0.000	1.000	0.000
rs1886512 lBF = `-0.0501158` Chr`13` : `74,520,186`	0.000	1.000	0.000
rs4773460 lBF = `-0.0614274` Chr`13` : `87,242,857`	0.000	1.000	0.000
rs1973985 lBF = `-0.0644865` Chr`13` : `107,082,904`	0.000	1.000	0.000
rs2094900 lBF = `-0.07103` Chr`13` : `110,267,249`	0.000	1.000	0.000
rs11148252 lBF = `-0.0792541` Chr`13` : `53,009,048`	0.000	1.000	0.000
rs1343607 lBF = `-0.135944` Chr`13` : `53,645,448`	0.000	1.000	0.000
rs9521632 lBF = `13.7226` Chr`13` : `110,832,918`	0.000	1.000	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.000	1.000	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.000	1.000	0.000
rs9603616 lBF = `1.47804` Chr`13` : `40,368,069`	0.000	1.000	0.000
rs9603612 lBF = `1.25009` Chr`13` : `40,334,852`	0.000	1.000	0.000
rs718444 lBF = `0.179442` Chr`13` : `33,147,052`	0.000	1.000	0.000
rs9536463 lBF = `0.1609` Chr`13` : `54,132,247`	0.000	1.000	0.000
rs150841795 lBF = `0.142928` Chr`13` : `54,137,749`	0.000	1.000	0.000
rs1886449 lBF = `0.135937` Chr`13` : `73,932,114`	0.000	1.000	0.000
rs9568281 lBF = `0.0326215` Chr`13` : `50,185,204`	0.000	1.000	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.000	1.000	0.000
rs9596863 lBF = `-0.00138453` Chr`13` : `54,434,647`	0.000	1.000	0.000
rs9788333 lBF = `-0.0119888` Chr`13` : `21,876,096`	0.000	1.000	0.000
rs9646096 lBF = `-0.0201529` Chr`13` : `38,065,446`	0.000	1.000	0.000
rs9513627 lBF = `-0.0264286` Chr`13` : `100,196,952`	0.000	1.000	0.000
rs35540212 lBF = `-0.0279034` Chr`13` : `36,768,682`	0.000	1.000	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	1.000	0.000
rs11617058 lBF = `-0.0292611` Chr`13` : `85,293,112`	0.000	1.000	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	0.000	1.000	0.000
rs9507041 lBF = `-0.0637433` Chr`13` : `23,744,379`	0.000	1.000	0.000
rs11148708 lBF = `-0.0690633` Chr`13` : `67,160,681`	0.000	1.000	0.000
rs10492681 lBF = `-0.0716346` Chr`13` : `40,807,483`	0.000	1.000	0.000
rs609418 lBF = `-0.0817155` Chr`13` : `37,417,427`	0.000	1.000	0.000
rs4769475 lBF = `-0.0851836` Chr`13` : `26,731,714`	0.000	1.000	0.000
rs4148546 lBF = `-0.095207` Chr`13` : `95,680,285`	0.000	1.000	0.000
rs2806974 lBF = `-0.122123` Chr`13` : `53,659,930`	0.000	1.000	0.000
rs2806949 lBF = `-0.136219` Chr`13` : `53,646,138`	0.000	1.000	0.000
rs2806933 lBF = `-0.142699` Chr`13` : `53,643,370`	0.000	1.000	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	1.000	0.000
rs4142110 lBF = `3.4996` Chr`13` : `42,754,522`	0.000	1.000	0.000
rs9525625 lBF = `2.29591` Chr`13` : `43,018,030`	0.000	1.000	0.000
rs2038823 lBF = `0.716143` Chr`13` : `96,951,433`	0.000	1.000	0.000
rs9557635 lBF = `0.205787` Chr`13` : `102,051,090`	0.000	1.000	0.000
rs9596270 lBF = `0.0849224` Chr`13` : `50,842,440`	0.000	1.000	0.000
rs9596837 lBF = `0.0540929` Chr`13` : `54,258,063`	0.000	1.000	0.000
rs9634489 lBF = `-0.018318` Chr`13` : `97,049,004`	0.000	1.000	0.000
rs1239947 lBF = `-0.0197112` Chr`13` : `51,106,555`	0.000	1.000	0.000
rs12585963 lBF = `-0.0233729` Chr`13` : `59,953,466`	0.000	1.000	0.000
rs10507380 lBF = `-0.030208` Chr`13` : `27,879,526`	0.000	1.000	0.000
rs9584154 lBF = `-0.0343349` Chr`13` : `94,426,353`	0.000	1.000	0.000
rs9573194 lBF = `-0.0377602` Chr`13` : `74,004,376`	0.000	1.000	0.000
rs7322722 lBF = `-0.0599777` Chr`13` : `77,879,376`	0.000	1.000	0.000
rs17511627 lBF = `-0.060438` Chr`13` : `26,724,328`	0.000	1.000	0.000
rs7335046 lBF = `3.79919` Chr`13` : `100,041,738`	0.000	1.000	0.000
rs34065801 lBF = `0.422801` Chr`13` : `36,531,548`	0.000	1.000	0.000
rs9510661 lBF = `0.353113` Chr`13` : `23,851,799`	0.000	1.000	0.000
rs3783006 lBF = `0.110519` Chr`13` : `99,111,209`	0.000	1.000	0.000
rs7327064 lBF = `0.110379` Chr`13` : `36,771,017`	0.000	1.000	0.000
rs1572591 lBF = `0.0442794` Chr`13` : `102,060,076`	0.000	1.000	0.000
rs1572050 lBF = `0.0338794` Chr`13` : `94,870,765`	0.000	1.000	0.000
rs9557321 lBF = `0.0184571` Chr`13` : `100,521,101`	0.000	1.000	0.000
rs648516 lBF = `0.00190169` Chr`13` : `38,829,622`	0.000	1.000	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.000	1.000	0.000
rs7339349 lBF = `-0.0199355` Chr`13` : `74,556,225`	0.000	1.000	0.000
rs73197788 lBF = `-0.0401139` Chr`13` : `54,593,717`	0.000	1.000	0.000
rs9538439 lBF = `-0.0463927` Chr`13` : `60,066,560`	0.000	1.000	0.000
rs4482178 lBF = `-0.053938` Chr`13` : `86,104,089`	0.000	1.000	0.000
rs7319311 lBF = `-0.0698168` Chr`13` : `111,030,578`	0.000	1.000	0.000
rs1572072 lBF = `-0.0852048` Chr`13` : `24,127,210`	0.000	1.000	0.000
rs11070098 lBF = `-0.0890338` Chr`13` : `95,505,262`	0.000	1.000	0.000
rs9572182 lBF = `-0.121281` Chr`13` : `70,086,330`	0.000	1.000	0.000
rs2806971 lBF = `-0.121707` Chr`13` : `53,653,856`	0.000	1.000	0.000
rs2806946 lBF = `-0.126033` Chr`13` : `53,645,933`	0.000	1.000	0.000
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	1.000	0.000
rs7332115 lBF = `0.86443` Chr`13` : `33,147,548`	0.000	1.000	0.000
rs201789 lBF = `0.287036` Chr`13` : `50,986,118`	0.000	1.000	0.000
rs9554348 lBF = `0.224776` Chr`13` : `97,012,355`	0.000	1.000	0.000
rs200220 lBF = `0.172577` Chr`13` : `50,960,378`	0.000	1.000	0.000
rs9574565 lBF = `0.127341` Chr`13` : `80,668,874`	0.000	1.000	0.000
rs6561750 lBF = `0.123951` Chr`13` : `54,435,237`	0.000	1.000	0.000
rs9584669 lBF = `0.111773` Chr`13` : `98,363,482`	0.000	1.000	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.000	1.000	0.000
rs11839514 lBF = `0.105267` Chr`13` : `93,938,706`	0.000	1.000	0.000
rs1928007 lBF = `0.0299463` Chr`13` : `70,810,223`	0.000	1.000	0.000
rs17714988 lBF = `-0.00333833` Chr`13` : `74,995,660`	0.000	1.000	0.000
rs9599293 lBF = `-0.0073785` Chr`13` : `35,165,390`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.0683

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

1.0000

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

1.0000

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

1.0000

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

1.0000

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9998

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9998

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9998

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9997

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9996

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9995

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9993

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9990

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9988

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9988

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9973

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9972

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9965

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9959

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9958

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9956

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9955

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9950

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9921

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9921

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9913

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9861

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9858

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9854

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9854

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9793

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9762

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9734

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9722

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9722

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9671

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9631

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9626

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9625

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9614

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9602

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9569

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9411

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9234

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9163

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9110

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9027

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8996

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8902

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8867

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8858

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8791

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8596

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8450

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8305

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8282

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8096

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8075

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7900

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7809

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7738

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7710

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7400

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7285

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7224

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6950

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6865

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6621

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6356

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6030

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5765

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5694

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5614

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5543

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5370

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5104

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5035

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4964

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4959

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4917

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4831

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4702

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4573

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4284

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4147

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.4076

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3822

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3785

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3736

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3662

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3572

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3418

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3184

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.3093

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2984

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2914

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2889

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2849

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2391

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2286

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1952

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1940

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1897

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1851

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1731

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1718

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1691

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1673

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1552

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1540

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1454

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1385

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1328

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1294

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1255

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1247

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1238

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1188

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1187

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1177

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1102

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1085

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0989

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0925

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0900

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0831

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0827

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0802

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0763

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0762

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0752

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0729

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0706

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0654

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0635

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0606

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0598

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0573

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0549

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0548

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0526

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`)