TreeWAS – [S52.10] Fracture of upper end of radius (closed)

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs9491696 lBF = `9.01264` Chr`6` : `127,452,639`	0.000	0.084	0.916
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.127	0.873
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.854	0.146	0.000
rs62392365 lBF = `46.9408` Chr`6` : `25,371,369`	0.850	0.150	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.848	0.152	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.167	0.833
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.824	0.176	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.821	0.179	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.820	0.180	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.818	0.182	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.804	0.196	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.804	0.196	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.803	0.197	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.788	0.212	0.000
rs1547959 lBF = `14.9559` Chr`7` : `120,945,328`	0.000	0.214	0.786
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.784	0.216	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.783	0.217	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.783	0.217	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.780	0.220	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.773	0.227	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.766	0.234	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.761	0.239	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.759	0.241	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.756	0.244	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.754	0.246	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.753	0.247	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.751	0.249	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.748	0.252	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.739	0.261	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.735	0.265	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.734	0.266	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.733	0.267	0.000
rs2908007 lBF = `30.0281` Chr`7` : `120,962,164`	0.000	0.275	0.725
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.723	0.277	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.719	0.281	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.719	0.281	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.711	0.289	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.710	0.290	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.701	0.299	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.698	0.302	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.696	0.304	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.693	0.307	0.000
rs2267644 lBF = `19.8415` Chr`6` : `32,192,560`	0.693	0.307	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.692	0.308	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.690	0.310	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.685	0.315	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.683	0.317	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.678	0.322	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.676	0.324	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.675	0.325	0.000
rs1936805 lBF = `5.78109` Chr`6` : `127,452,116`	0.000	0.325	0.675
rs114628044 lBF = `19.8572` Chr`6` : `32,133,639`	0.675	0.325	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.673	0.327	0.000
rs2745353 lBF = `6.81799` Chr`6` : `127,452,935`	0.673	0.327	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.669	0.331	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.664	0.336	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.663	0.337	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.663	0.337	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.659	0.341	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.658	0.342	0.000
rs205000 lBF = `21.2147` Chr`6` : `32,135,878`	0.654	0.346	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.653	0.347	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.652	0.348	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.650	0.350	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.650	0.350	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.649	0.351	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.649	0.351	0.000
rs17493811 lBF = `20.4967` Chr`6` : `32,145,399`	0.649	0.351	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.649	0.351	0.000
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.648	0.351	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.648	0.352	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.643	0.356	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.643	0.357	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.643	0.357	0.000
rs1603753 lBF = `5.92283` Chr`11` : `51,306,953`	0.639	0.361	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.637	0.363	0.000
rs77689730 lBF = `5.04085` Chr`11` : `51,515,912`	0.637	0.363	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.636	0.364	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.635	0.365	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.634	0.366	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.631	0.369	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.629	0.371	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.629	0.371	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.629	0.371	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.629	0.371	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.629	0.371	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.626	0.373	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.626	0.374	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.624	0.376	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.622	0.378	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.621	0.378	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.621	0.379	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.620	0.380	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.619	0.381	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.618	0.382	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.617	0.383	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.616	0.384	0.000
rs4977754 lBF = `7.24733` Chr`9` : `22,062,012`	0.616	0.384	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.616	0.384	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.615	0.385	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.613	0.387	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.613	0.387	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.612	0.388	0.000
rs139659694 lBF = `6.68133` Chr`11` : `51,108,240`	0.610	0.390	0.000
rs75296154 lBF = `15.1903` Chr`11` : `69,343,815`	0.610	0.390	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.609	0.391	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.607	0.393	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.606	0.394	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.604	0.395	0.000
rs1936801 lBF = `8.69095` Chr`6` : `127,436,313`	0.600	0.400	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.599	0.401	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.599	0.401	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.595	0.405	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.594	0.406	0.000
rs9267796 lBF = `16.2604` Chr`6` : `32,023,425`	0.593	0.407	0.000
rs11557308 lBF = `22.8654` Chr`6` : `31,431,403`	0.591	0.409	0.000
rs45451301 lBF = `16.4571` Chr`6` : `31,935,392`	0.591	0.409	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.590	0.410	0.000
rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.590	0.410	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.590	0.410	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.590	0.410	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.589	0.411	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.588	0.412	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.586	0.414	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.586	0.414	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.585	0.415	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.584	0.416	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.584	0.416	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.583	0.417	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.583	0.417	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.582	0.417	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.581	0.419	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.580	0.420	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.578	0.422	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.577	0.423	0.000
rs9267822 lBF = `25.4656` Chr`6` : `32,170,407`	0.576	0.424	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.576	0.424	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.575	0.425	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.575	0.425	0.000
rs2503322 lBF = `7.40397` Chr`6` : `127,457,260`	0.000	0.426	0.574
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.573	0.427	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.573	0.427	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.573	0.427	0.000
rs17201763 lBF = `16.7746` Chr`6` : `32,185,246`	0.572	0.428	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.569	0.431	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.568	0.432	0.000
rs115445154 lBF = `14.8843` Chr`1` : `81,921,812`	0.567	0.433	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.567	0.433	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.567	0.433	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.566	0.434	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.566	0.434	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.565	0.435	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.565	0.435	0.000
rs57740770 lBF = `14.7225` Chr`6` : `32,067,435`	0.564	0.436	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.563	0.437	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.561	0.439	0.000
rs45531831 lBF = `17.5762` Chr`6` : `31,938,120`	0.561	0.439	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.561	0.439	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.560	0.440	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.560	0.440	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.558	0.442	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.558	0.442	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.558	0.442	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.558	0.442	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.557	0.443	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.557	0.443	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.554	0.446	0.000
rs1936800 lBF = `6.04758` Chr`6` : `127,436,064`	0.000	0.448	0.552
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.552	0.448	0.000
rs7745274 lBF = `5.70603` Chr`6` : `127,509,157`	0.000	0.449	0.551
rs2707466 lBF = `6.3523` Chr`7` : `120,979,089`	0.000	0.450	0.550
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.550	0.450	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.548	0.452	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.548	0.452	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.547	0.452	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.546	0.454	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.545	0.455	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.544	0.456	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.544	0.456	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.543	0.457	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.543	0.457	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.543	0.457	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.543	0.457	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.543	0.457	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.541	0.459	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.541	0.459	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.540	0.460	0.000
rs2820651 lBF = `0.349566` Chr`10` : `1,471,765`	0.539	0.461	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.539	0.461	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.538	0.461	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.537	0.463	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.537	0.463	0.000
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.536	0.464	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.536	0.464	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.536	0.464	0.000
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.535	0.465	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.535	0.465	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.534	0.466	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.534	0.466	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.533	0.467	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.532	0.468	0.000
rs77622929 lBF = `6.08434` Chr`11` : `50,634,946`	0.532	0.468	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.531	0.469	0.000
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rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.442	0.558	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.442	0.558	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.442	0.558	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.441	0.559	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.440	0.559	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.440	0.559	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.440	0.559	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.440	0.560	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.439	0.561	0.000
rs11032483 lBF = `33.5508` Chr`11` : `4,515,024`	0.439	0.561	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.439	0.561	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.439	0.561	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.438	0.562	0.000
rs115361661 lBF = `16.3048` Chr`2` : `175,349,076`	0.438	0.562	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.437	0.563	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.436	0.563	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.436	0.564	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.436	0.564	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.436	0.564	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.435	0.565	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.435	0.565	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.435	0.565	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.435	0.565	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.435	0.565	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.435	0.565	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.434	0.566	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.434	0.566	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.434	0.566	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.433	0.567	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.433	0.567	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.433	0.567	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.433	0.567	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.433	0.567	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.432	0.568	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.431	0.569	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.430	0.570	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.430	0.570	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.429	0.570	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.429	0.571	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.429	0.571	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.428	0.571	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.428	0.571	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.428	0.572	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.428	0.572	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.428	0.572	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.427	0.572	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.427	0.572	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.427	0.572	0.000
rs2893857 lBF = `5.42702` Chr`6` : `26,474,061`	0.427	0.572	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.427	0.573	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.427	0.573	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.427	0.573	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.427	0.573	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.427	0.573	0.000
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.427	0.573	0.000
rs6698528 lBF = `13.1015` Chr`1` : `193,503,444`	0.426	0.573	0.000
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.426	0.574	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.425	0.575	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.425	0.575	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.424	0.575	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.424	0.576	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.424	0.576	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.423	0.577	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.423	0.577	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.422	0.577	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.423	0.577	0.000
rs11588060 lBF = `11.4172` Chr`1` : `24,583,035`	0.422	0.578	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.422	0.578	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.422	0.578	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.421	0.578	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.421	0.579	0.000
rs73002470 lBF = `12.3392` Chr`6` : `149,403,297`	0.421	0.579	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.421	0.579	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.420	0.579	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.420	0.580	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.420	0.580	0.000
rs2908004 lBF = `5.95575` Chr`7` : `120,969,769`	0.000	0.580	0.420
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.420	0.580	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.420	0.580	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.420	0.580	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.420	0.580	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.419	0.581	0.000
rs9267536 lBF = `15.2088` Chr`6` : `31,651,194`	0.419	0.581	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.419	0.581	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.418	0.581	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.418	0.582	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.418	0.582	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.418	0.582	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.418	0.582	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.418	0.582	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.417	0.583	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.417	0.583	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.417	0.583	0.000
rs7521578 lBF = `17.1428` Chr`1` : `158,736,201`	0.417	0.583	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.417	0.583	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 X0312

log Bayes Factor = 35.9944

contains 2 variants

0.6177

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0713

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9323

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9320

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9086

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8335

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.8243

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8238

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7774

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7462

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7373

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7124

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6795

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6664

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6606

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6602

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6360

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6063

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6041

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5941

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5926

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5852

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.5851

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5566

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5375

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5355

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5139

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5103

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4970

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4916

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4818

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4802

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4780

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4527

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4500

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4490

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4387

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4382

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4309

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4283

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4224

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4145

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4117

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4104

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3766

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3739

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3733

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3733

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3658

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3634

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3612

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3556

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3479

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3139

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3095

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3025

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2909

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2873

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2847

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2803

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2606

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2494

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2480

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2411

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2387

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2381

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2381

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2376

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2358

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2339

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2266

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2249

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2226

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2219

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2180

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2131

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2057

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2019

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1954

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1944

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1932

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1893

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1891

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1864

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1862

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1763

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1752

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1736

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1732

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1703

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1626

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1577

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1543

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1512

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1450

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1402

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1388

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1368

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1350

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1344

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1323

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1320

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1295

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1291

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1284

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1268

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1210

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1163

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1161

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1144

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1115

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1111

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1109

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1089

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1068

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1045

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1021

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1021

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0999

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0992

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0976

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0936

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0929

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0921

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0893

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0878

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0867

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0864

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0861

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0829

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0784

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0773

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0766

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0732

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0698

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0688

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0637

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0614

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0591

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0560

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0542

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0539

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0535

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0524

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0501

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`)