TreeWAS – [M54.91] Dorsalgia, unspecified (Occipito-atlanto-axial 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
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.717	0.283	0.000
rs9491891 lBF = `4.23462` Chr`6` : `128,277,151`	0.716	0.284	0.000
rs117907111 lBF = `10.1965` Chr`11` : `85,235,298`	0.714	0.285	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.714	0.286	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.713	0.287	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.712	0.287	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.711	0.289	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.711	0.289	0.000
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.711	0.289	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.711	0.289	0.000
rs10506458 lBF = `2.80462` Chr`12` : `63,445,092`	0.708	0.291	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.708	0.291	0.000
rs2814982 lBF = `11.8908` Chr`6` : `34,546,560`	0.708	0.292	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.708	0.292	0.000
rs72819068 lBF = `7.79831` Chr`2` : `78,414,284`	0.706	0.293	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.706	0.294	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.705	0.295	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.705	0.295	0.000
rs116485796 lBF = `8.88422` Chr`3` : `133,612,103`	0.704	0.296	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.703	0.297	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.703	0.297	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.702	0.298	0.000
rs3806175 lBF = `11.6012` Chr`1` : `87,793,730`	0.702	0.298	0.000
rs34026679 lBF = `10.6117` Chr`21` : `27,248,814`	0.701	0.299	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.701	0.299	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.700	0.300	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.700	0.300	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.699	0.301	0.000
rs7729458 lBF = `5.89518` Chr`5` : `2,799,100`	0.699	0.301	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.699	0.301	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.698	0.302	0.000
rs191655746 lBF = `3.59071` Chr`2` : `80,794,915`	0.698	0.302	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.698	0.302	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.697	0.303	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.697	0.303	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.697	0.303	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.696	0.303	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.696	0.304	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.696	0.304	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.696	0.304	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.696	0.304	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.696	0.304	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.696	0.304	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.695	0.304	0.000
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.695	0.305	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.694	0.306	0.000
rs62095459 lBF = `5.05503` Chr`18` : `44,621,382`	0.693	0.307	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.693	0.307	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.692	0.307	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.692	0.307	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.692	0.308	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.691	0.309	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.691	0.309	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.691	0.309	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.691	0.309	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.690	0.310	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.690	0.310	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.689	0.311	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.688	0.311	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.688	0.312	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.687	0.312	0.000
rs79436609 lBF = `1.9732` Chr`3` : `140,417,446`	0.686	0.313	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.686	0.314	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.686	0.314	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.685	0.315	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.685	0.315	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.685	0.315	0.000
rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	0.683	0.317	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.682	0.318	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.681	0.319	0.000
rs76138999 lBF = `6.4088` Chr`5` : `102,029,219`	0.681	0.319	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.680	0.320	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.677	0.323	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.677	0.323	0.000
rs10480 lBF = `12.2881` Chr`1` : `150,280,546`	0.675	0.324	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.675	0.325	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.675	0.325	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.674	0.326	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.674	0.326	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.674	0.326	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.673	0.327	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.672	0.328	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.672	0.328	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.671	0.329	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.671	0.329	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.671	0.329	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.671	0.329	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.671	0.329	0.000
rs62295986 lBF = `9.09224` Chr`3` : `169,354,710`	0.670	0.329	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.670	0.330	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.669	0.331	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.669	0.331	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.669	0.331	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.668	0.332	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.668	0.332	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.667	0.333	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.664	0.336	0.000
rs118136136 lBF = `2.24787` Chr`21` : `35,274,965`	0.664	0.336	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.663	0.337	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.662	0.337	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.662	0.338	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.662	0.338	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.661	0.338	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.660	0.340	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.659	0.341	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.659	0.341	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.658	0.341	0.000
rs2037723 lBF = `1.89195` Chr`2` : `78,539,666`	0.658	0.342	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.658	0.342	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.657	0.343	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.656	0.344	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.656	0.344	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.655	0.344	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.655	0.345	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.655	0.345	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.654	0.346	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.654	0.346	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.653	0.347	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.652	0.348	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.651	0.349	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.650	0.349	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.650	0.350	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.649	0.350	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.649	0.351	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.649	0.351	0.000
rs72819097 lBF = `6.00972` Chr`2` : `78,461,082`	0.649	0.351	0.000
rs74880545 lBF = `7.69301` Chr`21` : `29,997,493`	0.649	0.351	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.648	0.352	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.647	0.353	0.000
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.647	0.353	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.646	0.354	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.645	0.355	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.645	0.355	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.644	0.355	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.644	0.356	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.643	0.356	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.643	0.356	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.643	0.356	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.643	0.357	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.643	0.357	0.000
rs59104984 lBF = `9.35952` Chr`3` : `135,322,531`	0.642	0.357	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.642	0.358	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.642	0.358	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.641	0.358	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.641	0.359	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.641	0.359	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.641	0.359	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.641	0.359	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.641	0.359	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.640	0.360	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.640	0.360	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.640	0.360	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.640	0.360	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.639	0.361	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.639	0.361	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.638	0.361	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.638	0.362	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.638	0.362	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.637	0.363	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.636	0.364	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.636	0.364	0.000
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.636	0.364	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.636	0.364	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.634	0.366	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.634	0.366	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.633	0.366	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.633	0.367	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.632	0.367	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.632	0.368	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.631	0.368	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.631	0.369	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.631	0.369	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.630	0.370	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.630	0.370	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.629	0.371	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.629	0.371	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.628	0.371	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.628	0.372	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.627	0.373	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.627	0.373	0.000
rs61772626 lBF = `10.1601` Chr`1` : `57,015,668`	0.626	0.373	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.626	0.374	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.626	0.374	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.626	0.374	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.625	0.374	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.625	0.375	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.625	0.375	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.625	0.375	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.624	0.376	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.624	0.376	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.622	0.378	0.000
rs11755266 lBF = `10.3238` Chr`6` : `35,162,141`	0.622	0.378	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.621	0.378	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.621	0.379	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.620	0.380	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.619	0.380	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.619	0.381	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.618	0.382	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.618	0.382	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.617	0.382	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.617	0.382	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.617	0.383	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.616	0.383	0.000
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rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.555	0.445	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.555	0.445	0.000
rs11805526 lBF = `2.23564` Chr`1` : `239,635,249`	0.555	0.445	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.555	0.445	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.554	0.445	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.554	0.445	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.554	0.446	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.554	0.446	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.553	0.447	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.553	0.447	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.553	0.447	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.553	0.447	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.552	0.448	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.552	0.448	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.552	0.448	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.552	0.448	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.552	0.448	0.000
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.551	0.448	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.551	0.449	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.551	0.449	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.550	0.450	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.550	0.450	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.550	0.450	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.550	0.450	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.549	0.451	0.000
rs379440 lBF = `2.52889` Chr`5` : `111,693,371`	0.549	0.451	0.000
rs9880211 lBF = `1.53818` Chr`3` : `136,107,549`	0.549	0.451	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.549	0.451	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.549	0.451	0.000
rs9666585 lBF = `10.3192` Chr`11` : `9,235,473`	0.549	0.451	0.000
rs79237515 lBF = `4.93995` Chr`1` : `194,549,026`	0.549	0.451	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.548	0.451	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.548	0.452	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.548	0.452	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.547	0.453	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.547	0.453	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.547	0.453	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.546	0.454	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.546	0.454	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.545	0.454	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.545	0.454	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.545	0.454	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.545	0.454	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.545	0.455	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.545	0.455	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.545	0.455	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.545	0.455	0.000
rs138325697 lBF = `2.99756` Chr`1` : `194,689,514`	0.545	0.455	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.545	0.455	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.545	0.455	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.544	0.456	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.544	0.456	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.544	0.456	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.544	0.456	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.544	0.456	0.000
rs79223353 lBF = `0.90905` Chr`3` : `123,139,863`	0.543	0.457	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.543	0.457	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.543	0.457	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.542	0.458	0.000
rs73725220 lBF = `7.2576` Chr`6` : `16,700,060`	0.541	0.458	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.541	0.459	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.541	0.459	0.000
rs1805128 lBF = `7.21284` Chr`21` : `35,821,680`	0.541	0.459	0.000
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.540	0.460	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.540	0.460	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.540	0.460	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.540	0.460	0.000
rs10203166 lBF = `2.87971` Chr`2` : `59,789,705`	0.539	0.461	0.000
rs114987209 lBF = `12.4094` Chr`1` : `195,017,692`	0.539	0.461	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.539	0.461	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.539	0.461	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.539	0.461	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.538	0.462	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.538	0.462	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.538	0.462	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.537	0.463	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.537	0.463	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.537	0.463	0.000
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.537	0.463	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.537	0.463	0.000
rs77141874 lBF = `14.9976` Chr`6` : `55,438,094`	0.537	0.463	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.536	0.464	0.000
rs980952 lBF = `1.45621` Chr`11` : `41,225,954`	0.536	0.464	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.535	0.465	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.535	0.465	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.535	0.465	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.534	0.466	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.534	0.466	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.534	0.466	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.534	0.466	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.534	0.466	0.000
rs2862035 lBF = `1.4402` Chr`11` : `41,225,433`	0.534	0.466	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.533	0.467	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.533	0.467	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.532	0.468	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 X0083

log Bayes Factor = 351.917

contains 13 variants

0.7169

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7169

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7166

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7164

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7160

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7159

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7158

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7157

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7154

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7151

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7150

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7150

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7149

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7148

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7145

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7144

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7143

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7140

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7137

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7133

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7128

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7128

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7126

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7119

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7105

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7101

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7091

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7089

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7074

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7073

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7071

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7065

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7046

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7031

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7025

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7021

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7011

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7006

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7004

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7003

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6989

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6970

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6948

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6939

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6925

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6903

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6885

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6882

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6879

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6863

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6746

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6681

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6676

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.6655

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6647

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6626

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6583

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6581

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6530

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6493

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6470

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6457

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6456

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6425

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6383

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6363

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6332

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6255

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6230

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6166

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6146

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6133

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6129

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6066

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6045

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5954

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5927

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5909

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5890

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5878

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5874

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5785

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5755

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5738

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5731

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5722

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5674

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5500

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5358

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5350

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5333

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5317

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5264

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5214

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5194

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5127

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5009

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4989

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4958

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4953

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4903

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4899

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4827

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4702

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4686

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4662

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4655

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4592

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4525

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4524

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4436

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4406

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4387

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4310

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4216

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4112

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4102

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4065

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.4049

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3998

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3844

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3715

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3694

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.3608

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3603

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3542

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3494

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3484

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3458

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3401

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3400

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3370

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3349

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3286

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2891

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2886

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2879

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2841

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2829

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2738

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2548

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2468

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2436

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2407

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2390

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2384

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2316

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2308

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2196

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2136

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2128

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2119

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2056

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1918

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1855

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1687

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1652

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1640

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1511

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1411

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1374

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1317

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1296

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1287

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1253

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1225

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1116

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1112

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1062

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1046

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0997

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0897

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0839

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0826

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0811

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0770

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0746

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0701

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0600

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0506

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`)