TreeWAS – [S02.41] Fracture of malar and maxillary bones (open)

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
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.635	0.365	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.556	0.444	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.492	0.508	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.486	0.514	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.485	0.515	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.482	0.518	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.476	0.523	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.471	0.529	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.466	0.534	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.461	0.539	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.441	0.558	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.441	0.559	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.437	0.563	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.435	0.565	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.433	0.567	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.428	0.572	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.424	0.576	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.414	0.586	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.405	0.595	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.404	0.596	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.400	0.600	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.397	0.603	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.395	0.604	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.395	0.605	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.392	0.608	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.390	0.610	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.382	0.618	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.377	0.622	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.372	0.628	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.369	0.631	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.369	0.631	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.364	0.636	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.356	0.644	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.354	0.645	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.351	0.649	0.001
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.349	0.651	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.347	0.653	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.342	0.657	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.341	0.659	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.337	0.663	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.336	0.663	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.336	0.664	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.326	0.674	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.320	0.680	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.319	0.681	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.319	0.681	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.318	0.681	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.316	0.684	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.312	0.688	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.312	0.688	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.310	0.690	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.308	0.692	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.299	0.701	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.297	0.702	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.288	0.711	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.287	0.712	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.284	0.716	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.283	0.717	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.283	0.717	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.280	0.720	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.280	0.720	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.280	0.720	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.276	0.724	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.274	0.726	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.263	0.736	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.256	0.743	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.254	0.746	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.250	0.750	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.248	0.751	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.248	0.752	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.248	0.752	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.243	0.756	0.001
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.243	0.756	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.242	0.757	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.236	0.764	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.233	0.767	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.229	0.771	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.228	0.771	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.226	0.773	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.212	0.787	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.206	0.794	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.205	0.795	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.192	0.808	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.191	0.809	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.191	0.809	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.187	0.812	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.186	0.814	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.185	0.815	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.183	0.817	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.182	0.818	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.181	0.818	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.179	0.820	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.179	0.821	0.001
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.177	0.822	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.176	0.824	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.174	0.826	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.171	0.829	0.001
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.170	0.830	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.159	0.840	0.001
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.156	0.844	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.151	0.849	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.149	0.851	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.147	0.852	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.146	0.853	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.141	0.859	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.137	0.862	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.137	0.863	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.136	0.863	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.136	0.864	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.129	0.870	0.001
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.129	0.871	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.127	0.872	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.126	0.874	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.125	0.875	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.117	0.882	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.115	0.885	0.001
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.114	0.885	0.001
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.114	0.886	0.001
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.111	0.889	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.106	0.894	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.104	0.895	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.099	0.900	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.097	0.903	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.088	0.912	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.085	0.915	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.085	0.915	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.085	0.915	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.084	0.916	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.082	0.917	0.001
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.082	0.917	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.076	0.924	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.075	0.925	0.000
rs12602901 lBF = `0.123649` Chr`17` : `4,824,625`	0.000	0.934	0.066
rs9901225 lBF = `0.0666571` Chr`17` : `40,755,811`	0.000	0.938	0.061
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.058	0.942	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.056	0.944	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.055	0.945	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.050	0.950	0.001
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	0.952	0.047
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.046	0.953	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.043	0.957	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.042	0.958	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.041	0.958	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.037	0.962	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.035	0.965	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.031	0.969	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	0.969	0.031
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.029	0.970	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.029	0.971	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.024	0.975	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.024	0.976	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.020	0.980	0.000
rs12938078 lBF = `0.273225` Chr`17` : `55,743,277`	0.017	0.982	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.016	0.984	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.015	0.985	0.000
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.000	0.985	0.015
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.014	0.986	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	0.986	0.014
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.000	0.987	0.013
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.012	0.987	0.001
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.987	0.013
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.013	0.987	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.011	0.989	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.011	0.989	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.011	0.989	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.008	0.992	0.001
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.007	0.992	0.001
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.007	0.992	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	0.993	0.007
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.007	0.993	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.005	0.993	0.002
rs4987082 lBF = `9.49246` Chr`17` : `47,481,374`	0.000	0.993	0.006
rs1642764 lBF = `0.0051968` Chr`17` : `7,557,834`	0.006	0.994	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.006	0.994	0.001
rs2969180 lBF = `0.0546844` Chr`17` : `11,407,901`	0.006	0.994	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.005	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.005	0.995	0.000
rs8070473 lBF = `-0.0358532` Chr`17` : `33,843,512`	0.005	0.995	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.005	0.995	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.004	0.996	0.000
rs6504663 lBF = `-0.043126` Chr`17` : `48,591,209`	0.004	0.996	0.000
rs116908816 lBF = `0.615666` Chr`17` : `32,422,699`	0.004	0.996	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.004	0.996	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.003	0.996	0.000
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.000	0.997	0.003
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.003	0.997	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.003	0.997	0.000
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.000	0.997	0.003
rs6761 lBF = `0.117299` Chr`17` : `7,417,663`	0.003	0.997	0.000
rs1000940 lBF = `0.0375032` Chr`17` : `5,283,252`	0.000	0.997	0.003
rs3760318 lBF = `0.910229` Chr`17` : `29,247,715`	0.003	0.997	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	0.997	0.003
rs11079160 lBF = `-0.0751658` Chr`17` : `53,404,725`	0.000	0.997	0.003
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.002	0.997	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.002	0.997	0.000
rs8067165 lBF = `-0.0740107` Chr`17` : `8,031,936`	0.000	0.997	0.002
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs623323 lBF = `-0.0439502` Chr`17` : `700,020`	0.002	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.002	0.997	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.002	0.998	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.002	0.998	0.000
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rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.000	0.999	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	0.999	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	0.999	0.000
rs7224314 lBF = `0.00627329` Chr`17` : `65,386,214`	0.000	0.999	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	0.999	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	0.999	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	0.999	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	0.999	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	0.999	0.000
rs4793501 lBF = `-0.063154` Chr`17` : `68,718,734`	0.001	0.999	0.000
rs2060070 lBF = `-0.0718786` Chr`17` : `54,123,973`	0.000	0.999	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.001	0.999	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.000	0.999	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.999	0.000
rs9299 lBF = `0.0624181` Chr`17` : `46,669,430`	0.000	0.999	0.001
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	0.999	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	0.999	0.000
rs12185265 lBF = `0.0183091` Chr`17` : `35,274,282`	0.000	0.999	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	0.999	0.000
rs6501384 lBF = `-0.0418682` Chr`17` : `68,291,133`	0.000	0.999	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.000	0.999	0.000
rs6503905 lBF = `-0.0482082` Chr`17` : `57,287,454`	0.001	0.999	0.000
rs820218 lBF = `-0.0511756` Chr`17` : `73,687,495`	0.000	0.999	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	0.999	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	0.999	0.000
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.000	0.999	0.000
rs4792909 lBF = `0.822937` Chr`17` : `41,798,824`	0.000	0.999	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	0.999	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	0.999	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.000	0.999	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	0.999	0.000
rs9908102 lBF = `0.0664821` Chr`17` : `12,896,553`	0.001	0.999	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	0.999	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	0.999	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	0.999	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.000	0.999	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	0.999	0.000
rs3786094 lBF = `-0.0438178` Chr`17` : `9,875,205`	0.001	0.999	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.000	0.999	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	0.999	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	0.999	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.999	0.000
rs9915657 lBF = `1.06444` Chr`17` : `70,127,536`	0.000	0.999	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	0.999	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	0.999	0.000
rs7206961 lBF = `0.0336412` Chr`17` : `72,042,520`	0.000	0.999	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	0.999	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	0.999	0.000
rs7224610 lBF = `-0.0163906` Chr`17` : `53,364,788`	0.000	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	0.999	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	0.999	0.000
rs55714927 lBF = `-0.0253605` Chr`17` : `7,080,316`	0.000	0.999	0.000
rs17857135 lBF = `-0.0487206` Chr`17` : `78,262,161`	0.000	0.999	0.000
rs7213812 lBF = `-0.049552` Chr`17` : `31,448,649`	0.000	0.999	0.000
rs17780256 lBF = `-0.0818525` Chr`17` : `70,642,923`	0.000	0.999	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.000	0.999	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.000	0.999	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	0.999	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	0.999	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	0.999	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	0.999	0.000
rs2006933 lBF = `-0.0142823` Chr`17` : `26,601,133`	0.000	0.999	0.000
rs3785574 lBF = `-0.0197042` Chr`17` : `61,763,185`	0.000	0.999	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	0.999	0.000
rs2293152 lBF = `-0.0506452` Chr`17` : `40,481,529`	0.000	0.999	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	0.999	0.000
rs1513670 lBF = `-0.0762696` Chr`17` : `41,807,331`	0.000	0.999	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.999	0.000
rs7207400 lBF = `5.06352` Chr`17` : `43,824,360`	0.000	0.999	0.000
rs1316453 lBF = `0.222152` Chr`17` : `77,410,859`	0.000	0.999	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	0.999	0.000
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.000	0.999	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	0.999	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	0.999	0.000
rs3794742 lBF = `-0.0439897` Chr`17` : `76,165,548`	0.000	0.999	0.000
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	0.000	0.999	0.000
rs2079515 lBF = `-0.10604` Chr`17` : `68,913,506`	0.000	0.999	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	0.999	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.000	0.999	0.000
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.000	0.999	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	0.999	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	0.999	0.000
rs11654964 lBF = `0.0223935` Chr`17` : `32,989,538`	0.000	0.999	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	0.999	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	0.999	0.000
rs7206971 lBF = `-0.0210073` Chr`17` : `45,425,115`	0.000	0.999	0.000
rs11545787 lBF = `-0.0420883` Chr`17` : `17,398,278`	0.000	0.999	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	0.999	0.000
rs7207499 lBF = `-0.0518373` Chr`17` : `64,447,165`	0.000	0.999	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	0.999	0.000
rs7221059 lBF = `-0.092041` Chr`17` : `74,988,444`	0.000	0.999	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.000	0.999	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.000	0.999	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	0.999	0.000
rs236586 lBF = `0.563867` Chr`17` : `68,203,546`	0.000	0.999	0.000
rs6503659 lBF = `0.271348` Chr`17` : `39,897,264`	0.000	0.999	0.000
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.000	0.999	0.000
rs2138852 lBF = `0.0595363` Chr`17` : `27,703,349`	0.000	0.999	0.000
rs4792192 lBF = `0.0208944` Chr`17` : `11,803,461`	0.000	0.999	0.000
rs6502557 lBF = `0.0196252` Chr`17` : `16,960,978`	0.000	0.999	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.6360

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1807

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7168

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7166

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7086

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7068

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6976

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6911

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6894

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6817

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6753

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6626

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6532

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6493

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6454

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6249

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6239

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5864

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5772

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5750

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5689

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5675

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5644

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5540

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5498

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5377

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5350

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5292

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5281

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5216

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5207

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5154

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5146

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5061

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5045

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5042

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4993

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.4993

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4984

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4978

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4970

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4961

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4957

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4946

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4942

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4811

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4776

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4748

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4742

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4575

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4508

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4492

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4448

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4434

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4419

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4355

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4274

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4220

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4194

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4081

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4016

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3985

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3944

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3917

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3911

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3855

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3800

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3786

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3735

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3732

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3656

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3644

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3628

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3626

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3625

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3617

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3605

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3595

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3577

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3474

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3433

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3426

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3368

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3352

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3346

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3324

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3318

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3316

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3307

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3269

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.3250

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3225

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3215

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3186

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3183

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3175

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3136

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3133

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3128

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3125

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3089

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3089

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3083

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3080

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3064

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3060

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3057

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3056

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3053

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3046

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3044

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3039

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3023

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3017

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3013

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3011

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3002

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2989

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2984

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2975

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2974

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2937

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2936

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2920

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2902

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2884

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2867

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2817

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2783

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2737

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2700

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2692

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2676

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2661

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2654

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2642

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2642

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2497

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2422

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2412

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2408

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2280

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2265

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2250

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2240

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2232

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2212

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2210

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2202

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2157

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2153

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1909

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1854

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1833

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1793

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1756

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1746

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1720

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1659

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1631

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1528

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1522

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1514

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1509

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1503

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1468

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1445

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1432

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1286

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1257

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1186

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1070

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1061

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1051

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1046

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1036

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0967

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0931

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0909

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0871

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0868

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0835

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0833

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0807

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0761

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0730

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0700

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0599

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0557

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0538

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0529

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0508

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`)