TreeWAS – [T84] Complications of internal orthopaedic prosthetic devices, implants and grafts

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
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	1.000	0.000	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.999	0.001	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.995	0.005	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.995	0.005	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.993	0.007	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.990	0.010	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.990	0.010	0.000
rs73002470 lBF = `12.3392` Chr`6` : `149,403,297`	0.988	0.012	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.982	0.018	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.979	0.021	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.978	0.022	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.977	0.023	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.976	0.024	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.973	0.027	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.972	0.028	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.972	0.028	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.971	0.029	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.971	0.029	0.000
rs36055487 lBF = `21.1592` Chr`6` : `31,327,481`	0.969	0.031	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.969	0.031	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.969	0.031	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.968	0.032	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.966	0.034	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.965	0.035	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.964	0.036	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.964	0.036	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.962	0.038	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.962	0.038	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.962	0.038	0.000
rs6907296 lBF = `14.4576` Chr`6` : `22,476,568`	0.961	0.039	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.961	0.039	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.959	0.041	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.959	0.041	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.956	0.044	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.952	0.048	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.950	0.050	0.000
rs13220896 lBF = `12.8209` Chr`6` : `31,369,662`	0.946	0.054	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.944	0.056	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.944	0.056	0.000
rs12213831 lBF = `20.0798` Chr`6` : `31,380,601`	0.941	0.059	0.000
rs13217108 lBF = `12.4741` Chr`6` : `31,795,140`	0.939	0.061	0.000
rs12215963 lBF = `20.8881` Chr`6` : `31,138,619`	0.938	0.062	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.937	0.063	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.937	0.063	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.933	0.067	0.000
rs116269252 lBF = `19.828` Chr`6` : `31,326,790`	0.933	0.067	0.000
rs13214487 lBF = `18.9923` Chr`6` : `31,322,706`	0.932	0.068	0.000
rs34441152 lBF = `19.4411` Chr`6` : `31,410,072`	0.931	0.069	0.000
rs116738814 lBF = `21.0352` Chr`6` : `31,326,566`	0.930	0.070	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.927	0.073	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.925	0.075	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.924	0.076	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.922	0.078	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.921	0.079	0.000
rs6930572 lBF = `17.9712` Chr`6` : `31,428,169`	0.919	0.081	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.917	0.083	0.000
rs12196211 lBF = `21.642` Chr`6` : `31,449,041`	0.917	0.083	0.000
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.916	0.084	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.911	0.089	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.911	0.089	0.000
rs9493873 lBF = `5.52086` Chr`6` : `134,576,511`	0.908	0.092	0.000
rs12202207 lBF = `21.8317` Chr`6` : `31,053,843`	0.906	0.094	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.905	0.095	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.902	0.098	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.900	0.100	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.900	0.100	0.000
rs13214791 lBF = `16.0998` Chr`6` : `31,322,762`	0.898	0.102	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.896	0.104	0.000
rs33941312 lBF = `22.8037` Chr`6` : `31,084,191`	0.894	0.106	0.000
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.893	0.107	0.000
rs2233940 lBF = `19.3841` Chr`6` : `31,107,922`	0.892	0.108	0.000
rs1473500 lBF = `1.94868` Chr`6` : `168,511,016`	0.891	0.109	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.888	0.112	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.888	0.112	0.000
rs41257954 lBF = `20.527` Chr`6` : `31,138,310`	0.886	0.114	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.883	0.117	0.000
rs71563311 lBF = `20.1258` Chr`6` : `31,136,994`	0.883	0.117	0.000
rs116146467 lBF = `8.72874` Chr`6` : `169,558,013`	0.873	0.127	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.871	0.129	0.000
rs7769061 lBF = `5.03821` Chr`6` : `111,926,909`	0.870	0.130	0.000
rs114570543 lBF = `14.2163` Chr`6` : `30,953,209`	0.868	0.132	0.000
rs12201301 lBF = `13.8108` Chr`6` : `31,007,557`	0.866	0.134	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.864	0.136	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.851	0.149	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.844	0.156	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.843	0.157	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.842	0.158	0.000
rs78896389 lBF = `12.8178` Chr`6` : `71,299,288`	0.831	0.169	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.831	0.169	0.000
rs72878039 lBF = `23.7565` Chr`6` : `31,340,795`	0.831	0.169	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.830	0.170	0.000
rs17881233 lBF = `16.4571` Chr`6` : `31,323,745`	0.828	0.172	0.000
rs12199223 lBF = `141.245` Chr`6` : `31,242,731`	0.826	0.174	0.000
rs4406273 lBF = `144.316` Chr`6` : `31,266,090`	0.826	0.174	0.000
rs12189871 lBF = `142.293` Chr`6` : `31,251,924`	0.824	0.176	0.000
rs4713467 lBF = `13.306` Chr`6` : `31,437,275`	0.815	0.185	0.000
rs80123541 lBF = `17.2266` Chr`6` : `110,354,662`	0.808	0.192	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.808	0.192	0.000
rs80349490 lBF = `12.4872` Chr`6` : `21,615,188`	0.807	0.193	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.802	0.198	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.801	0.199	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.792	0.208	0.000
rs201435717 lBF = `2.48587` Chr`6` : `122,793,700`	0.791	0.209	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.790	0.210	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.787	0.213	0.000
rs36001438 lBF = `20.6978` Chr`6` : `31,186,378`	0.786	0.214	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.786	0.214	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.784	0.216	0.000
rs9359466 lBF = `16.1014` Chr`6` : `81,935,652`	0.781	0.219	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.781	0.219	0.000
rs76151409 lBF = `20.9106` Chr`6` : `31,407,653`	0.777	0.223	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.777	0.223	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.776	0.224	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.771	0.229	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.766	0.234	0.000
rs28894993 lBF = `144.276` Chr`6` : `31,289,714`	0.765	0.235	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.764	0.236	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.764	0.236	0.000
rs2517490 lBF = `21.5202` Chr`6` : `31,038,756`	0.761	0.239	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.760	0.240	0.000
rs2517454 lBF = `19.8983` Chr`6` : `31,060,022`	0.759	0.241	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.757	0.243	0.000
rs12193701 lBF = `15.4612` Chr`6` : `31,331,617`	0.755	0.245	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.753	0.247	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.752	0.248	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.751	0.249	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.747	0.253	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.745	0.255	0.000
rs12197587 lBF = `13.4674` Chr`6` : `31,005,774`	0.744	0.256	0.000
rs28732138 lBF = `138.758` Chr`6` : `31,316,699`	0.741	0.259	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.737	0.263	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.734	0.266	0.000
rs16887604 lBF = `11.436` Chr`6` : `77,149,658`	0.732	0.268	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.725	0.275	0.000
rs72882965 lBF = `23.0387` Chr`6` : `31,353,285`	0.722	0.278	0.000
rs62402484 lBF = `15.7618` Chr`6` : `21,913,816`	0.721	0.279	0.000
rs114783056 lBF = `22.655` Chr`6` : `31,327,265`	0.719	0.281	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.717	0.283	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.716	0.283	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.714	0.286	0.000
rs9356786 lBF = `15.2486` Chr`6` : `21,914,212`	0.713	0.287	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.713	0.287	0.000
rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.709	0.291	0.000
rs72847395 lBF = `22.7489` Chr`6` : `31,388,555`	0.706	0.294	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.705	0.295	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.703	0.297	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.700	0.300	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.699	0.301	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.698	0.302	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.696	0.304	0.000
Affx-28439912 lBF = `12.8855` Chr`6` : `31,012,994`	0.690	0.310	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.690	0.310	0.000
rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.689	0.311	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.686	0.314	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.686	0.314	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.684	0.316	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.682	0.318	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.682	0.318	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.682	0.318	0.000
rs62402485 lBF = `14.4447` Chr`6` : `21,913,817`	0.680	0.320	0.000
rs1623026 lBF = `23.4509` Chr`6` : `31,188,312`	0.671	0.329	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.671	0.329	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.668	0.332	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.668	0.332	0.000
rs11966200 lBF = `9.36767` Chr`6` : `31,837,066`	0.666	0.334	0.000
rs72851111 lBF = `23.6522` Chr`6` : `31,414,673`	0.665	0.335	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.659	0.341	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.656	0.344	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.654	0.346	0.000
rs45627239 lBF = `18.4326` Chr`6` : `30,921,141`	0.649	0.351	0.000
rs68085422 lBF = `22.2032` Chr`6` : `31,327,326`	0.648	0.352	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.647	0.353	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.646	0.354	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.646	0.354	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.646	0.354	0.000
rs117293402 lBF = `14.7593` Chr`6` : `110,946,140`	0.643	0.357	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.641	0.359	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.638	0.362	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.638	0.362	0.000
rs72502573 lBF = `20.8514` Chr`6` : `31,327,446`	0.638	0.362	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.635	0.365	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.635	0.365	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.631	0.369	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.630	0.370	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.628	0.372	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.626	0.374	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.626	0.374	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.625	0.375	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.625	0.375	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.624	0.376	0.000
rs116399318 lBF = `12.9172` Chr`6` : `31,078,664`	0.624	0.376	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.622	0.378	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.618	0.382	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.616	0.384	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.616	0.384	0.000
rs114341818 lBF = `20.4453` Chr`6` : `30,844,081`	0.614	0.386	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.614	0.386	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.613	0.387	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.609	0.391	0.000
rs116009799 lBF = `21.8061` Chr`6` : `30,806,893`	0.606	0.394	0.000
rs113454287 lBF = `16.3293` Chr`6` : `30,999,657`	0.605	0.395	0.000
rs114466565 lBF = `19.7848` Chr`6` : `30,898,751`	0.600	0.400	0.000
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rs17200740 lBF = `15.7847` Chr`6` : `31,535,539`	0.251	0.749	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.251	0.749	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.250	0.750	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.244	0.755	0.000
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.244	0.756	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.244	0.756	0.000
rs115018313 lBF = `79.0344` Chr`6` : `32,710,407`	0.243	0.757	0.000
rs149747749 lBF = `0.424924` Chr`6` : `9,937,360`	0.242	0.758	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.241	0.758	0.001
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.241	0.759	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.240	0.759	0.002
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.241	0.759	0.000
rs77141874 lBF = `14.9976` Chr`6` : `55,438,094`	0.240	0.760	0.000
rs2255798 lBF = `34.8832` Chr`6` : `31,521,302`	0.239	0.761	0.000
rs144339868 lBF = `0.485001` Chr`6` : `112,239,810`	0.238	0.762	0.000
rs9461741 lBF = `0.79149` Chr`6` : `32,370,587`	0.235	0.765	0.000
rs115144339 lBF = `0.478153` Chr`6` : `8,383,484`	0.234	0.765	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.233	0.766	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.233	0.767	0.000
rs2009658 lBF = `34.5004` Chr`6` : `31,538,244`	0.232	0.768	0.000
rs1408272 lBF = `43.5505` Chr`6` : `25,842,951`	0.229	0.771	0.000
rs2071554 lBF = `38.7063` Chr`6` : `32,784,676`	0.228	0.772	0.000
rs114628044 lBF = `19.8572` Chr`6` : `32,133,639`	0.227	0.772	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.226	0.774	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.226	0.774	0.000
rs8192585 lBF = `18.7691` Chr`6` : `32,188,823`	0.226	0.774	0.000
rs116157207 lBF = `16.4805` Chr`6` : `31,518,764`	0.226	0.774	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.226	0.774	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.221	0.779	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.220	0.780	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.220	0.780	0.000
rs10947210 lBF = `10.1686` Chr`6` : `31,417,742`	0.220	0.780	0.000
rs4709408 lBF = `84.0955` Chr`6` : `160,625,231`	0.218	0.782	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.218	0.782	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.216	0.784	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.215	0.785	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.215	0.785	0.000
rs1342371 lBF = `0.577186` Chr`6` : `44,739,949`	0.000	0.786	0.214
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.214	0.786	0.000
rs181741409 lBF = `4.98731` Chr`6` : `45,157,786`	0.211	0.789	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.210	0.790	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.207	0.791	0.001
rs11751494 lBF = `31.4605` Chr`6` : `33,804,669`	0.208	0.791	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.208	0.792	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.206	0.794	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.205	0.795	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.202	0.798	0.000
rs17071124 lBF = `2.01665` Chr`6` : `142,033,726`	0.201	0.799	0.000
rs16891235 lBF = `94.1744` Chr`6` : `26,017,542`	0.199	0.801	0.000
rs9496398 lBF = `0.248197` Chr`6` : `142,822,217`	0.198	0.802	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.196	0.804	0.000
rs17207085 lBF = `16.5272` Chr`6` : `31,503,552`	0.196	0.804	0.000
rs3095245 lBF = `173.422` Chr`6` : `31,213,902`	0.195	0.805	0.000
rs9383153 lBF = `0.574339` Chr`6` : `16,343,056`	0.194	0.806	0.000
rs199055 lBF = `13.8929` Chr`6` : `23,490,117`	0.192	0.807	0.000
rs2857708 lBF = `35.3833` Chr`6` : `31,533,606`	0.191	0.809	0.000
rs17201248 lBF = `3.78395` Chr`6` : `31,803,130`	0.190	0.810	0.000
rs114355928 lBF = `63.2185` Chr`6` : `32,265,881`	0.188	0.812	0.000
rs9405098 lBF = `1.26456` Chr`6` : `32,379,736`	0.185	0.815	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.184	0.816	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.180	0.819	0.002
rs2395029 lBF = `87.593` Chr`6` : `31,431,780`	0.181	0.819	0.000
rs2844480 lBF = `73.2041` Chr`6` : `31,564,821`	0.177	0.823	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.176	0.824	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.175	0.825	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.175	0.825	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.175	0.825	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.172	0.828	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.170	0.828	0.002
rs117754643 lBF = `10.4271` Chr`6` : `134,436,451`	0.171	0.829	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.168	0.831	0.001
rs115272033 lBF = `11.1478` Chr`6` : `31,850,807`	0.166	0.834	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.165	0.835	0.000
rs115098315 lBF = `20.6403` Chr`6` : `32,100,225`	0.164	0.836	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.163	0.837	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.161	0.839	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.160	0.840	0.000
rs75617879 lBF = `7.44483` Chr`6` : `2,197,935`	0.160	0.840	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.160	0.840	0.000
rs77386029 lBF = `19.4286` Chr`6` : `24,998,665`	0.159	0.841	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.158	0.842	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.157	0.843	0.000
rs4151671 lBF = `17.276` Chr`6` : `31,918,903`	0.157	0.843	0.000
rs2071479 lBF = `48.4851` Chr`6` : `32,781,112`	0.156	0.844	0.000
rs77803816 lBF = `19.635` Chr`6` : `31,431,063`	0.155	0.844	0.001
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.154	0.845	0.000
rs12207186 lBF = `0.836971` Chr`6` : `162,314,921`	0.155	0.845	0.000
rs17069122 lBF = `7.67561` Chr`6` : `108,323,759`	0.154	0.846	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.151	0.847	0.002
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.153	0.847	0.000
rs9658108 lBF = `0.465598` Chr`6` : `35,363,757`	0.151	0.848	0.001
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.151	0.849	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.151	0.849	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.146	0.850	0.004
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.147	0.851	0.003
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.149	0.851	0.000
rs9267822 lBF = `25.4656` Chr`6` : `32,170,407`	0.146	0.852	0.002

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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.9994

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4336

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

1.0000

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

1.0000

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

1.0000

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

1.0000

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

1.0000

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

1.0000

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.9999

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9998

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9998

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9997

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9995

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9995

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9994

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9991

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9990

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9990

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9989

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9984

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9980

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9979

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9979

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9975

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9969

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9965

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9964

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9958

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9955

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9944

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9944

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9939

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9922

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9922

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9920

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9919

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9907

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9899

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9891

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9886

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9878

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9876

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9875

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9850

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9838

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9821

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9811

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9802

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9800

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9783

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9777

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9772

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9736

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9713

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9711

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9686

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9686

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9674

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9660

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9659

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9642

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9642

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9603

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9549

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9475

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9388

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9360

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9233

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9223

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9210

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9078

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9002

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8894

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8665

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8584

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8581

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8243

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8210

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8204

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8093

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7951

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7924

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7912

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7579

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7456

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7295

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6977

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6952

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6950

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6905

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6847

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6699

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6597

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6467

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6319

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6226

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5907

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5879

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5787

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5682

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5549

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5241

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5118

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4654

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4617

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4543

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4443

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4234

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4228

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3918

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3854

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3852

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3766

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3706

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3704

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.3412

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3405

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3398

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3337

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3184

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3143

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3071

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2741

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2436

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2404

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2334

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2246

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2059

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1799

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1765

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1688

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1668

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1616

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1597

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1416

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1284

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1256

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1237

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1192

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1168

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1164

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1124

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1017

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0722

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0717

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0672

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0644

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0559

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0540

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0536

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0522

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0516

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`)