TreeWAS – [M54.49] Lumbago with sciatica (Site unspecified)

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
rs9310385 lBF = `12.836` Chr`3` : `11,611,146`	0.831	0.169	0.000
rs12316797 lBF = `1.37316` Chr`12` : `43,160,744`	0.817	0.183	0.000
rs76138999 lBF = `6.4088` Chr`5` : `102,029,219`	0.805	0.195	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.796	0.204	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.778	0.222	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.777	0.223	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.754	0.246	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.750	0.249	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.737	0.263	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.729	0.271	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.729	0.271	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.725	0.275	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.725	0.275	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.722	0.278	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.719	0.281	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.716	0.284	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.716	0.284	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.714	0.286	0.000
rs62095459 lBF = `5.05503` Chr`18` : `44,621,382`	0.713	0.287	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.711	0.289	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.710	0.289	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.707	0.293	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.707	0.293	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.705	0.294	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.702	0.297	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.699	0.301	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.699	0.301	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.698	0.302	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.690	0.310	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.686	0.314	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.685	0.315	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.684	0.316	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.684	0.316	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.684	0.316	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.682	0.318	0.000
rs45531831 lBF = `17.5762` Chr`6` : `31,938,120`	0.680	0.320	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.679	0.321	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.676	0.323	0.000
rs10506458 lBF = `2.80462` Chr`12` : `63,445,092`	0.676	0.324	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.676	0.324	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.675	0.325	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.674	0.326	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.674	0.326	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.672	0.328	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.672	0.328	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.671	0.329	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.671	0.329	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.669	0.331	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.669	0.331	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.667	0.332	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.663	0.337	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.662	0.338	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.662	0.338	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.660	0.340	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.660	0.340	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.657	0.343	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.655	0.345	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.654	0.346	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.654	0.346	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.653	0.347	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.652	0.348	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.652	0.348	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.647	0.353	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.644	0.355	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.643	0.356	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.643	0.357	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.642	0.358	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.641	0.358	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.641	0.359	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.640	0.360	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.639	0.360	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.639	0.361	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.638	0.362	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.638	0.362	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.638	0.362	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.638	0.362	0.000
rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.637	0.363	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.636	0.363	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.636	0.364	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.636	0.364	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.634	0.365	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.634	0.366	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.633	0.367	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.633	0.367	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.632	0.367	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.632	0.368	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.631	0.369	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.631	0.369	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.631	0.369	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.630	0.370	0.000
rs72819068 lBF = `7.79831` Chr`2` : `78,414,284`	0.628	0.372	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.628	0.372	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.626	0.373	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.625	0.375	0.000
rs45451301 lBF = `16.4571` Chr`6` : `31,935,392`	0.623	0.376	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.623	0.377	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.619	0.381	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.618	0.382	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.617	0.383	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.617	0.383	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.616	0.384	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.615	0.385	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.614	0.386	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.613	0.387	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.612	0.387	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.612	0.388	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.611	0.389	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.610	0.390	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.608	0.392	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.607	0.393	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.607	0.393	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.605	0.395	0.000
rs17564083 lBF = `5.59903` Chr`14` : `29,967,193`	0.604	0.396	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.603	0.397	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.602	0.398	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.602	0.398	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.601	0.399	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.601	0.399	0.000
rs4903813 lBF = `7.75672` Chr`14` : `79,507,314`	0.600	0.400	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.599	0.401	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.598	0.402	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.597	0.402	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.596	0.404	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.595	0.405	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.592	0.408	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.592	0.408	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.592	0.408	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.592	0.408	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.592	0.408	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.591	0.408	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.591	0.408	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.591	0.408	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.591	0.409	0.000
rs2037723 lBF = `1.89195` Chr`2` : `78,539,666`	0.591	0.409	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.591	0.409	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.590	0.409	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.590	0.409	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.590	0.410	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.589	0.411	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.589	0.411	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.589	0.411	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.588	0.412	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.587	0.413	0.000
rs379440 lBF = `2.52889` Chr`5` : `111,693,371`	0.587	0.413	0.000
rs3806175 lBF = `11.6012` Chr`1` : `87,793,730`	0.587	0.413	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.586	0.414	0.000
rs707915 lBF = `5.32824` Chr`6` : `31,710,968`	0.586	0.414	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.584	0.416	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.584	0.416	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.584	0.416	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.584	0.416	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.584	0.416	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.583	0.417	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.583	0.417	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.582	0.418	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.581	0.419	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.581	0.419	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.581	0.419	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.579	0.421	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.579	0.421	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.578	0.422	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.578	0.422	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.578	0.422	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.578	0.422	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.577	0.423	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.577	0.423	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.577	0.423	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.576	0.424	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.576	0.424	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.575	0.424	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.575	0.425	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.575	0.425	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.575	0.425	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.574	0.426	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.574	0.426	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.573	0.427	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.572	0.428	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.571	0.429	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.571	0.429	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.571	0.429	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.571	0.429	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.570	0.430	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.570	0.430	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.569	0.431	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.569	0.431	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.568	0.432	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.568	0.432	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.568	0.432	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.567	0.432	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.567	0.433	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.567	0.433	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.567	0.433	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.567	0.433	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.566	0.434	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.566	0.434	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.566	0.434	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.565	0.435	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.565	0.435	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.565	0.435	0.000
rs78371551 lBF = `5.54553` Chr`2` : `12,631,328`	0.565	0.435	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.564	0.436	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.564	0.436	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.563	0.437	0.000
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rs62295986 lBF = `9.09224` Chr`3` : `169,354,710`	0.514	0.486	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.514	0.486	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.513	0.486	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.513	0.486	0.000
rs2826762 lBF = `7.61206` Chr`21` : `22,649,414`	0.513	0.487	0.000
rs9469913 lBF = `16.491` Chr`6` : `34,827,085`	0.513	0.487	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.512	0.487	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.512	0.488	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.512	0.488	0.000
rs28848172 lBF = `11.5033` Chr`6` : `32,603,277`	0.511	0.488	0.001
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.512	0.488	0.000
rs17018311 lBF = `1.08851` Chr`1` : `212,155,008`	0.512	0.488	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.512	0.488	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.511	0.488	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.511	0.488	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.511	0.489	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.511	0.489	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.511	0.489	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.511	0.489	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.511	0.489	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.510	0.489	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.510	0.490	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.510	0.490	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.490	0.510
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.510	0.490	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.510	0.490	0.000
rs17033506 lBF = `6.61563` Chr`3` : `35,639,826`	0.510	0.490	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.510	0.490	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.509	0.490	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.509	0.491	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.509	0.491	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.509	0.491	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.509	0.491	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.509	0.491	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.509	0.491	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.509	0.491	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.509	0.491	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.509	0.491	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.509	0.491	0.000
rs77292666 lBF = `7.58228` Chr`21` : `33,214,050`	0.508	0.492	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.508	0.492	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.508	0.492	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.508	0.492	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.508	0.492	0.000
rs2814982 lBF = `11.8908` Chr`6` : `34,546,560`	0.507	0.493	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.507	0.493	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.507	0.493	0.000
rs118136136 lBF = `2.24787` Chr`21` : `35,274,965`	0.507	0.493	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.507	0.493	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.506	0.493	0.000
rs115154880 lBF = `8.20092` Chr`5` : `43,883,949`	0.506	0.493	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.506	0.494	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.506	0.494	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.505	0.495	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.505	0.495	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.505	0.495	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.505	0.495	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.505	0.495	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.505	0.495	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.505	0.495	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.504	0.495	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.504	0.496	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.503	0.496	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.503	0.497	0.000
rs72765334 lBF = `5.63815` Chr`2` : `3,312,868`	0.503	0.497	0.000
rs56198862 lBF = `5.18995` Chr`1` : `41,172,312`	0.503	0.497	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.502	0.498	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.502	0.498	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.502	0.498	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.501	0.498	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.501	0.499	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.501	0.499	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.501	0.499	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.501	0.499	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.501	0.499	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.501	0.499	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.501	0.499	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.501	0.499	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.500	0.499	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.500	0.500	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.500	0.500	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.500	0.500	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.500	0.500	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.499	0.500	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.499	0.501	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.499	0.501	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.499	0.501	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.499	0.501	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.498	0.501	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.498	0.502	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.498	0.502	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.498	0.502	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.498	0.502	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.498	0.502	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.498	0.502	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 X0193

log Bayes Factor = 303.265

contains 16 variants

0.9918

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9904

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9894

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9766

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9425

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9303

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9259

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9207

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9202

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9122

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9085

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9012

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9002

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8990

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8926

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8889

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8854

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8846

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8821

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8759

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8746

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8670

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8599

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8543

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8512

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8496

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8464

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8395

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8289

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8237

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8209

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8179

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8175

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8073

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8036

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8018

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7965

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7954

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7904

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7784

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7770

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7753

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7731

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7708

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7621

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7611

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7602

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7585

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7548

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7537

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7510

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7475

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7452

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7452

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7426

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7395

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7385

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7375

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7264

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7247

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7239

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7219

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7195

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7109

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7049

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7041

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7023

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6984

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6968

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6946

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6922

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6849

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6834

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6789

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6759

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6755

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6728

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6716

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6705

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6672

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6626

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6604

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6515

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6433

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6417

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6397

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6374

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6362

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6350

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6284

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6187

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6052

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6042

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6011

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6006

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5995

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5959

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5892

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5861

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5848

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5801

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5775

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5747

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5703

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5565

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5514

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5509

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5418

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5341

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5339

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5336

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5332

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5292

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5250

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5245

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5220

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5199

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5191

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5139

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5122

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5107

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5064

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4973

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4972

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4930

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4863

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4829

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4759

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4754

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4585

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4499

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4488

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4326

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4267

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4248

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4161

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4089

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.4070

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3848

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3805

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3799

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3553

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3498

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3467

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3161

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3158

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3142

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3141

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3114

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3026

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3017

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2960

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2865

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2652

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2598

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.2346

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2183

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2141

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2090

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2089

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1927

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1882

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1807

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1728

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1706

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1673

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1666

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1663

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1525

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1512

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1459

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1420

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1308

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1170

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1080

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1067

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1002

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0954

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0861

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0841

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.0819

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0812

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0753

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0743

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0683

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0511

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`)