TreeWAS – [S80.9] Superficial injury of lower leg, 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
rs6569364 lBF = `7.02344` Chr`6` : `124,158,252`	0.975	0.025	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.961	0.039	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.954	0.046	0.000
rs17162990 lBF = `5.53349` Chr`1` : `28,523,238`	0.950	0.050	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.944	0.056	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.920	0.080	0.000
rs11217762 lBF = `6.40084` Chr`11` : `120,071,508`	0.920	0.080	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.918	0.082	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.912	0.088	0.000
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.905	0.095	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.898	0.102	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.892	0.108	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.886	0.114	0.000
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.886	0.114	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.878	0.122	0.000
rs114679905 lBF = `9.02093` Chr`3` : `135,418,841`	0.870	0.130	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.869	0.131	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.869	0.131	0.000
rs67199640 lBF = `6.01397` Chr`9` : `84,306,876`	0.868	0.132	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.863	0.137	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.862	0.138	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.860	0.140	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.853	0.147	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.851	0.149	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.849	0.151	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.843	0.157	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.839	0.161	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.839	0.161	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.837	0.163	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.831	0.169	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.831	0.169	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.829	0.171	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.828	0.172	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.828	0.172	0.000
rs115154880 lBF = `8.20092` Chr`5` : `43,883,949`	0.827	0.173	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.826	0.174	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.825	0.175	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.823	0.177	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.821	0.179	0.000
rs12189871 lBF = `142.293` Chr`6` : `31,251,924`	0.820	0.180	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.818	0.182	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.816	0.184	0.000
rs4406273 lBF = `144.316` Chr`6` : `31,266,090`	0.815	0.185	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.808	0.192	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.807	0.193	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.806	0.194	0.000
rs12199223 lBF = `141.245` Chr`6` : `31,242,731`	0.805	0.195	0.000
rs11579060 lBF = `5.78074` Chr`1` : `160,606,092`	0.804	0.196	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.804	0.196	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.802	0.198	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.801	0.199	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.200	0.800
rs28894993 lBF = `144.276` Chr`6` : `31,289,714`	0.797	0.203	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.794	0.206	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.794	0.206	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.794	0.206	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.790	0.210	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.789	0.211	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.788	0.212	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.787	0.213	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.787	0.213	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.786	0.214	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.786	0.214	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.785	0.215	0.000
rs77247306 lBF = `5.19454` Chr`4` : `55,682,981`	0.785	0.215	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.784	0.216	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.784	0.216	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.780	0.220	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.778	0.222	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.778	0.222	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.778	0.222	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.777	0.223	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.774	0.226	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.773	0.227	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.773	0.227	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.772	0.228	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.771	0.229	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.770	0.230	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.769	0.231	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.765	0.235	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.765	0.235	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.764	0.236	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.763	0.237	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.763	0.237	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.762	0.238	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.762	0.238	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.762	0.238	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.762	0.238	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.761	0.239	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.761	0.239	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.761	0.239	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.760	0.240	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.757	0.243	0.000
rs4679325 lBF = `5.12509` Chr`3` : `126,741,478`	0.757	0.243	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.757	0.243	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.757	0.243	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.757	0.243	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.756	0.244	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.755	0.245	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.754	0.246	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.753	0.247	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.753	0.247	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.752	0.248	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.752	0.248	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.752	0.248	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.751	0.249	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.751	0.249	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.750	0.250	0.000
rs2715502 lBF = `0.81263` Chr`4` : `179,447,733`	0.000	0.251	0.749
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.748	0.252	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.747	0.252	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.747	0.253	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.747	0.253	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.746	0.254	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.743	0.257	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.742	0.258	0.000
rs10908523 lBF = `11.6102` Chr`1` : `156,830,218`	0.742	0.258	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.741	0.259	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.740	0.260	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.739	0.261	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.737	0.263	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.737	0.263	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.737	0.263	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.737	0.263	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.736	0.264	0.000
rs17071124 lBF = `2.01665` Chr`6` : `142,033,726`	0.736	0.264	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.735	0.265	0.000
rs41273213 lBF = `12.0855` Chr`1` : `156,880,190`	0.735	0.265	0.000
rs28732138 lBF = `138.758` Chr`6` : `31,316,699`	0.734	0.266	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.734	0.266	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.731	0.269	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.731	0.269	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.729	0.271	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.727	0.273	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.727	0.273	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.726	0.274	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.722	0.278	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.721	0.278	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.721	0.279	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.721	0.279	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.719	0.281	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.717	0.283	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.717	0.283	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.716	0.284	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.716	0.284	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.715	0.285	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.714	0.286	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.713	0.287	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.713	0.287	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.713	0.287	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.712	0.288	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.712	0.288	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.712	0.288	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.712	0.288	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.712	0.288	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.711	0.288	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.711	0.289	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.710	0.290	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.710	0.290	0.000
rs41257954 lBF = `20.527` Chr`6` : `31,138,310`	0.710	0.290	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.710	0.290	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.709	0.291	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.709	0.291	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.708	0.292	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.706	0.294	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.705	0.295	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.705	0.295	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.703	0.297	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.703	0.297	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.702	0.298	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.701	0.299	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.700	0.300	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.700	0.300	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.699	0.301	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.699	0.301	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.698	0.302	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.697	0.303	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.697	0.303	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.697	0.303	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.696	0.304	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.695	0.304	0.000
rs12213831 lBF = `20.0798` Chr`6` : `31,380,601`	0.695	0.305	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.695	0.305	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.695	0.305	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.694	0.306	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.694	0.306	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.694	0.306	0.000
rs6930572 lBF = `17.9712` Chr`6` : `31,428,169`	0.694	0.306	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.694	0.306	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.693	0.307	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.692	0.308	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.691	0.309	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.691	0.309	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.690	0.310	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.690	0.310	0.000
rs13214487 lBF = `18.9923` Chr`6` : `31,322,706`	0.690	0.310	0.000
rs116738814 lBF = `21.0352` Chr`6` : `31,326,566`	0.689	0.311	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.689	0.311	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.689	0.311	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.688	0.312	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.687	0.312	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.686	0.314	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.686	0.314	0.000
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rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.603	0.397	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.602	0.398	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.601	0.399	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.601	0.399	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.601	0.399	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.600	0.400	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.600	0.400	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.600	0.400	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.600	0.400	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.599	0.401	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.599	0.401	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.599	0.401	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.599	0.401	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.599	0.401	0.000
rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.598	0.402	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.598	0.402	0.000
rs2791545 lBF = `12.1553` Chr`1` : `219,662,035`	0.598	0.402	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.597	0.403	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.597	0.403	0.000
rs1977 lBF = `133.04` Chr`6` : `26,377,546`	0.597	0.403	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.596	0.404	0.000
rs9393708 lBF = `137.887` Chr`6` : `26,362,643`	0.596	0.404	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.596	0.404	0.000
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.595	0.405	0.000
rs11088859 lBF = `14.6883` Chr`21` : `22,689,344`	0.595	0.405	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.595	0.405	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.595	0.405	0.000
rs7552393 lBF = `0.488308` Chr`1` : `84,254,551`	0.000	0.405	0.595
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.594	0.406	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.594	0.406	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.594	0.406	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.593	0.407	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.592	0.408	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.592	0.408	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.591	0.409	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.591	0.409	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.591	0.409	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.590	0.410	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.589	0.411	0.000
rs4294134 lBF = `0.553239` Chr`7` : `135,293,128`	0.589	0.411	0.000
rs9393714 lBF = `136.87` Chr`6` : `26,373,740`	0.589	0.411	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.588	0.412	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.588	0.412	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.588	0.412	0.000
rs9393713 lBF = `140.003` Chr`6` : `26,373,678`	0.588	0.412	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.587	0.412	0.000
rs34406675 lBF = `23.4153` Chr`2` : `144,301,488`	0.587	0.413	0.000
rs76151409 lBF = `20.9106` Chr`6` : `31,407,653`	0.587	0.413	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.587	0.413	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.587	0.413	0.000
rs9379858 lBF = `135.263` Chr`6` : `26,367,689`	0.587	0.413	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.587	0.413	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.586	0.414	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.586	0.414	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.585	0.415	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.584	0.415	0.000
rs72851111 lBF = `23.6522` Chr`6` : `31,414,673`	0.584	0.416	0.000
rs72847395 lBF = `22.7489` Chr`6` : `31,388,555`	0.584	0.416	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.584	0.416	0.000
rs9379855 lBF = `136.857` Chr`6` : `26,364,930`	0.584	0.416	0.000
rs114101798 lBF = `17.9738` Chr`3` : `135,286,950`	0.584	0.416	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.584	0.416	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.583	0.417	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.583	0.417	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.583	0.417	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.583	0.417	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.583	0.417	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.583	0.417	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.583	0.417	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.582	0.418	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.582	0.418	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.582	0.418	0.000
rs74703823 lBF = `12.1497` Chr`3` : `3,162,708`	0.582	0.418	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.582	0.418	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.582	0.418	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.581	0.419	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.581	0.419	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.581	0.419	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.581	0.419	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.581	0.419	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.581	0.419	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.581	0.419	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.580	0.420	0.000
rs12176317 lBF = `138.293` Chr`6` : `26,372,786`	0.580	0.420	0.000
rs112288323 lBF = `2.33034` Chr`2` : `26,228,207`	0.580	0.420	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.579	0.421	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.579	0.421	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.579	0.421	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.579	0.421	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.578	0.421	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.578	0.422	0.000
rs115470510 lBF = `39.0562` Chr`6` : `31,618,511`	0.578	0.422	0.000
rs191655746 lBF = `3.59071` Chr`2` : `80,794,915`	0.578	0.422	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.578	0.422	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.577	0.423	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.8001

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2392

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9988

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9973

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9903

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9850

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9848

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9838

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.9728

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9674

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9595

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9584

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9553

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9500

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9475

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9388

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9374

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9223

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9165

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9142

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8977

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8947

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8909

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8900

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8892

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8870

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8785

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8753

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8680

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8483

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8384

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8296

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8250

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8248

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8187

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8156

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8049

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8045

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8036

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7907

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7882

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7764

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7756

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7721

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7693

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7649

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7572

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7472

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7337

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7326

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7284

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7257

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7234

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7106

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7027

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6803

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6718

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6709

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6663

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6658

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6619

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6582

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6543

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6428

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6316

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6303

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6280

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6265

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6262

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6138

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6010

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5908

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5658

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5650

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5500

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5458

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5320

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5222

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5179

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5137

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5030

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4805

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4743

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4632

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4525

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4484

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4480

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4387

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4256

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4247

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4166

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4163

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3935

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3913

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3873

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3839

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3651

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3627

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3509

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3369

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3353

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3347

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3331

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3257

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3115

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2990

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2932

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2852

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2759

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2689

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2631

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2545

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2525

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2474

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2375

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2365

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2287

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2264

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2165

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2143

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2137

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2110

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2098

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2091

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1925

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1881

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1831

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1820

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1794

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1736

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1729

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1721

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1716

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1648

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1593

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1510

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1415

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1321

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1277

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1155

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1109

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1104

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1099

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1076

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1049

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1044

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1002

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0996

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0945

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0937

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0921

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0899

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0898

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0896

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0821

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0813

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0803

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0802

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0744

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0744

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0743

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0702

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0656

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0635

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0635

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0629

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0606

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0576

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0548

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0545

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0540

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0538

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0503

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`)