TreeWAS – [M19.1] Posttraumatic arthrosis of other joints

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
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.775	0.225	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.757	0.243	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.715	0.285	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.671	0.329	0.000
rs17564083 lBF = `5.59903` Chr`14` : `29,967,193`	0.671	0.329	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.642	0.358	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.640	0.359	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.638	0.362	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.623	0.377	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.614	0.386	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.609	0.391	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.603	0.397	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.601	0.399	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.596	0.404	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.590	0.410	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.543	0.457	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.519	0.481	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.509	0.491	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.501	0.498	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.495	0.504	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.495	0.505	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.484	0.516	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.480	0.520	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.467	0.533	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.457	0.543	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.454	0.546	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.436	0.564	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.422	0.577	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.421	0.579	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.420	0.580	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.413	0.587	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.405	0.595	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.404	0.596	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.402	0.598	0.000
rs1092015 lBF = `1.59496` Chr`14` : `58,200,725`	0.000	0.602	0.398
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.396	0.604	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.391	0.609	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.379	0.621	0.000
rs12590437 lBF = `0.314604` Chr`14` : `38,447,092`	0.378	0.622	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.376	0.623	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.370	0.630	0.000
rs10498345 lBF = `1.07994` Chr`14` : `39,020,505`	0.368	0.631	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.358	0.641	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.352	0.648	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.349	0.651	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.343	0.657	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.341	0.659	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.338	0.662	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.324	0.676	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.317	0.683	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.308	0.692	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.300	0.700	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.298	0.702	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.292	0.707	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.291	0.709	0.000
rs12587252 lBF = `0.5067` Chr`14` : `81,405,922`	0.287	0.713	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.273	0.727	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.270	0.730	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.264	0.736	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.259	0.741	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.256	0.744	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.252	0.747	0.000
rs80221072 lBF = `0.96065` Chr`14` : `33,795,591`	0.236	0.764	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.216	0.784	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.211	0.789	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.200	0.800	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.195	0.805	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.192	0.808	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.184	0.816	0.000
rs192692653 lBF = `2.44667` Chr`14` : `52,384,486`	0.181	0.819	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.175	0.825	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.174	0.826	0.000
rs192549394 lBF = `1.61666` Chr`14` : `52,293,779`	0.173	0.827	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.169	0.831	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.150	0.850	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.148	0.852	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.144	0.856	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.144	0.856	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.143	0.857	0.000
rs150511909 lBF = `0.288513` Chr`14` : `97,908,686`	0.141	0.859	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.139	0.861	0.000
rs11627967 lBF = `0.353752` Chr`14` : `33,769,912`	0.139	0.861	0.000
rs117911949 lBF = `0.377711` Chr`14` : `72,016,789`	0.137	0.862	0.001
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.138	0.862	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.132	0.868	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.132	0.868	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.130	0.870	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.129	0.871	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.127	0.873	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.119	0.881	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.118	0.882	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.115	0.885	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.114	0.886	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.110	0.890	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.103	0.895	0.002
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.101	0.899	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.099	0.901	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.095	0.905	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.093	0.907	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.093	0.907	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.091	0.908	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.091	0.908	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.091	0.909	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.089	0.910	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.087	0.913	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.087	0.913	0.000
rs17093520 lBF = `7.13877` Chr`14` : `74,346,295`	0.086	0.914	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.085	0.915	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.081	0.919	0.000
rs182491339 lBF = `0.10278` Chr`14` : `66,049,929`	0.080	0.920	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.079	0.921	0.000
rs186152940 lBF = `0.126532` Chr`14` : `46,476,984`	0.078	0.921	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.078	0.921	0.000
rs144190017 lBF = `0.182292` Chr`14` : `25,893,032`	0.074	0.926	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.071	0.929	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.020	0.934	0.046
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.065	0.935	0.000
rs11623713 lBF = `0.147314` Chr`14` : `99,240,316`	0.060	0.940	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.059	0.941	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.059	0.941	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.057	0.943	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.001	0.944	0.056
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.055	0.945	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.055	0.945	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.053	0.947	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.053	0.947	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.050	0.950	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.048	0.952	0.000
rs79110742 lBF = `0.0352416` Chr`14` : `83,347,928`	0.047	0.953	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.029	0.956	0.015
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.041	0.959	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.040	0.960	0.000
rs6573333 lBF = `0.106706` Chr`14` : `61,308,337`	0.000	0.960	0.040
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.038	0.962	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.037	0.963	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.036	0.964	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.035	0.965	0.000
rs78171731 lBF = `9.24022` Chr`14` : `30,189,605`	0.033	0.967	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.033	0.967	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.031	0.969	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.030	0.969	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.029	0.971	0.000
rs17125944 lBF = `0.0176287` Chr`14` : `53,400,629`	0.028	0.972	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.026	0.974	0.001
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.025	0.975	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.025	0.975	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.023	0.976	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.024	0.976	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.023	0.977	0.000
rs183755958 lBF = `0.0427294` Chr`14` : `52,307,478`	0.023	0.977	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.022	0.978	0.000
rs186116546 lBF = `0.0301833` Chr`14` : `65,986,176`	0.021	0.979	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.020	0.979	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.020	0.980	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.018	0.982	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.017	0.983	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.016	0.984	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.016	0.984	0.000
rs1998848 lBF = `0.0282524` Chr`14` : `21,492,229`	0.016	0.984	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.016	0.984	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.015	0.985	0.000
rs1959122 lBF = `0.0516474` Chr`14` : `82,337,665`	0.015	0.985	0.000
rs58262369 lBF = `0.0229117` Chr`14` : `64,693,912`	0.013	0.986	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.012	0.987	0.000
rs8005334 lBF = `6.47865` Chr`14` : `79,563,654`	0.012	0.987	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.012	0.988	0.000
rs10498529 lBF = `6.78445` Chr`14` : `69,770,690`	0.012	0.988	0.000
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.011	0.989	0.000
rs4903813 lBF = `7.75672` Chr`14` : `79,507,314`	0.011	0.989	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.010	0.990	0.000
rs117672662 lBF = `0.032178` Chr`14` : `69,425,467`	0.008	0.991	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.008	0.992	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.008	0.992	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.008	0.992	0.000
rs2053831 lBF = `0.0908873` Chr`14` : `84,980,036`	0.007	0.992	0.000
rs8009420 lBF = `0.685846` Chr`14` : `54,263,851`	0.007	0.993	0.000
rs34310550 lBF = `0.169665` Chr`14` : `38,912,395`	0.005	0.995	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.005	0.995	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.005	0.995	0.000
rs4905138 lBF = `-0.0789265` Chr`14` : `94,466,357`	0.000	0.995	0.005
rs6576086 lBF = `0.00570964` Chr`14` : `105,873,144`	0.000	0.995	0.005
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.005	0.995	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.004	0.996	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.003	0.996	0.000
rs4902141 lBF = `-0.0170287` Chr`14` : `62,968,395`	0.003	0.997	0.000
rs17175227 lBF = `0.0727778` Chr`14` : `70,502,050`	0.003	0.997	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.003	0.997	0.000
rs148114321 lBF = `0.639906` Chr`14` : `36,213,442`	0.003	0.997	0.000
rs76745467 lBF = `0.113511` Chr`14` : `69,426,389`	0.003	0.997	0.000
rs185449237 lBF = `0.00377806` Chr`14` : `47,199,333`	0.002	0.997	0.000
rs35955841 lBF = `-0.0337909` Chr`14` : `65,319,361`	0.003	0.997	0.000
rs76513344 lBF = `0.00295873` Chr`14` : `63,047,683`	0.002	0.997	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.002	0.997	0.000
rs2076751 lBF = `0.0980318` Chr`14` : `36,989,419`	0.003	0.997	0.000
rs17101773 lBF = `-0.021977` Chr`14` : `34,190,982`	0.002	0.997	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.002	0.998	0.000
rs1998207 lBF = `-0.0766558` Chr`14` : `94,957,714`	0.002	0.998	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.002	0.998	0.000
rs7143963 lBF = `0.0204879` Chr`14` : `103,304,425`	0.002	0.998	0.000
rs17111396 lBF = `0.0897425` Chr`14` : `81,524,054`	0.002	0.998	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.002	0.998	0.000
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rs915071 lBF = `-0.0609337` Chr`14` : `32,433,858`	0.000	1.000	0.000
rs17772222 lBF = `0.689321` Chr`14` : `88,826,482`	0.000	1.000	0.000
rs12883384 lBF = `0.152023` Chr`14` : `47,403,684`	0.000	1.000	0.000
rs7142881 lBF = `0.0474088` Chr`14` : `32,093,548`	0.000	1.000	0.000
rs7144584 lBF = `0.00567901` Chr`14` : `64,275,812`	0.000	1.000	0.000
rs9323124 lBF = `0.00500737` Chr`14` : `47,466,177`	0.000	1.000	0.000
rs4982029 lBF = `0.00185534` Chr`14` : `33,476,266`	0.000	1.000	0.000
rs751837 lBF = `-0.00319414` Chr`14` : `103,484,825`	0.000	1.000	0.000
rs8005745 lBF = `-0.00505689` Chr`14` : `62,185,295`	0.000	1.000	0.000
rs17111920 lBF = `-0.00597461` Chr`14` : `27,406,892`	0.000	1.000	0.000
rs2154294 lBF = `-0.0147325` Chr`14` : `42,655,275`	0.000	1.000	0.000
rs2877649 lBF = `-0.0161482` Chr`14` : `24,954,002`	0.000	1.000	0.000
rs113317269 lBF = `-0.0256054` Chr`14` : `45,046,629`	0.000	1.000	0.000
rs7157940 lBF = `-0.0924861` Chr`14` : `94,563,193`	0.000	1.000	0.000
rs8012941 lBF = `0.934473` Chr`14` : `63,322,347`	0.000	1.000	0.000
rs17793829 lBF = `0.507042` Chr`14` : `91,022,185`	0.000	1.000	0.000
rs1508945 lBF = `0.0681269` Chr`14` : `58,034,570`	0.000	1.000	0.000
rs10143078 lBF = `0.0301057` Chr`14` : `70,881,489`	0.000	1.000	0.000
rs8015959 lBF = `0.00116327` Chr`14` : `33,480,922`	0.000	1.000	0.000
rs6575353 lBF = `-0.00059455` Chr`14` : `94,205,345`	0.000	1.000	0.000
rs10483349 lBF = `-0.0136446` Chr`14` : `29,629,456`	0.000	1.000	0.000
rs7155454 lBF = `-0.0431336` Chr`14` : `65,502,239`	0.000	1.000	0.000
rs12432904 lBF = `-0.0482379` Chr`14` : `103,812,320`	0.000	1.000	0.000
rs12436436 lBF = `-0.0517485` Chr`14` : `24,381,515`	0.000	1.000	0.000
rs7148590 lBF = `-0.0519013` Chr`14` : `65,473,196`	0.000	1.000	0.000
rs116988415 lBF = `1.2421` Chr`14` : `65,292,145`	0.000	1.000	0.000
rs8010717 lBF = `0.425189` Chr`14` : `80,410,441`	0.000	1.000	0.000
rs17094983 lBF = `0.241374` Chr`14` : `59,189,361`	0.000	1.000	0.000
rs699363 lBF = `0.173027` Chr`14` : `72,692,493`	0.000	1.000	0.000
rs2588809 lBF = `0.0455181` Chr`14` : `68,660,428`	0.000	1.000	0.000
rs17280262 lBF = `0.00291272` Chr`14` : `97,053,924`	0.000	1.000	0.000
rs2144051 lBF = `-0.00137135` Chr`14` : `97,544,573`	0.000	1.000	0.000
rs118166657 lBF = `-0.00663862` Chr`14` : `64,047,262`	0.000	1.000	0.000
rs10134944 lBF = `-0.0110375` Chr`14` : `58,119,196`	0.000	1.000	0.000
rs11622412 lBF = `-0.012084` Chr`14` : `38,683,261`	0.000	1.000	0.000
rs17796783 lBF = `-0.0150556` Chr`14` : `85,809,911`	0.000	1.000	0.000
rs4466998 lBF = `-0.0155592` Chr`14` : `65,475,540`	0.000	1.000	0.000
rs112973353 lBF = `-0.0293702` Chr`14` : `104,537,680`	0.000	1.000	0.000
rs8004664 lBF = `-0.0692791` Chr`14` : `90,034,972`	0.000	1.000	0.000
rs878889 lBF = `-0.0707437` Chr`14` : `57,221,139`	0.000	1.000	0.000
rs1152591 lBF = `-0.0732329` Chr`14` : `64,680,848`	0.000	1.000	0.000
rs12883884 lBF = `-0.0798155` Chr`14` : `70,517,183`	0.000	1.000	0.000
rs2239557 lBF = `-0.0940763` Chr`14` : `74,551,970`	0.000	1.000	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	1.000	0.000
rs61280460 lBF = `1.0785` Chr`14` : `94,796,184`	0.000	1.000	0.000
rs2488856 lBF = `0.0435537` Chr`14` : `43,531,402`	0.000	1.000	0.000
rs4902960 lBF = `0.0355215` Chr`14` : `72,432,149`	0.000	1.000	0.000
rs8014671 lBF = `0.0324273` Chr`14` : `71,092,256`	0.000	1.000	0.000
rs17118552 lBF = `0.0295303` Chr`14` : `47,874,557`	0.000	1.000	0.000
rs12587630 lBF = `0.00440685` Chr`14` : `38,066,575`	0.000	1.000	0.000
rs75575287 lBF = `0.00419909` Chr`14` : `73,222,829`	0.000	1.000	0.000
rs1569328 lBF = `-0.0145158` Chr`14` : `75,741,751`	0.000	1.000	0.000
rs56146971 lBF = `-0.0277407` Chr`14` : `91,920,101`	0.000	1.000	0.000
rs17460823 lBF = `-0.0444598` Chr`14` : `33,586,563`	0.000	1.000	0.000
rs746629 lBF = `-0.0538041` Chr`14` : `83,255,172`	0.000	1.000	0.000
rs12146962 lBF = `-0.0708266` Chr`14` : `33,381,098`	0.000	1.000	0.000
rs8020941 lBF = `1.5323` Chr`14` : `97,533,362`	0.000	1.000	0.000
rs216518 lBF = `0.101892` Chr`14` : `60,683,430`	0.000	1.000	0.000
rs58694847 lBF = `0.101556` Chr`14` : `84,916,511`	0.000	1.000	0.000
rs2300835 lBF = `0.0444221` Chr`14` : `33,207,522`	0.000	1.000	0.000
rs146647518 lBF = `0.0130713` Chr`14` : `67,529,620`	0.000	1.000	0.000
rs1955510 lBF = `-0.0135534` Chr`14` : `33,230,139`	0.000	1.000	0.000
rs7152554 lBF = `-0.0187462` Chr`14` : `84,597,385`	0.000	1.000	0.000
rs61227778 lBF = `-0.021244` Chr`14` : `24,578,916`	0.000	1.000	0.000
rs7494379 lBF = `-0.0329853` Chr`14` : `53,411,391`	0.000	1.000	0.000
rs7158872 lBF = `-0.061895` Chr`14` : `49,426,842`	0.000	1.000	0.000
rs1951082 lBF = `-0.079933` Chr`14` : `27,260,043`	0.000	1.000	0.000
rs1959947 lBF = `-0.0951594` Chr`14` : `41,523,462`	0.000	1.000	0.000
rs12898084 lBF = `1.78487` Chr`14` : `56,253,404`	0.000	1.000	0.000
rs17111530 lBF = `0.778096` Chr`14` : `81,598,912`	0.000	1.000	0.000
rs3783890 lBF = `0.465268` Chr`14` : `93,790,276`	0.000	1.000	0.000
rs17835706 lBF = `0.0760892` Chr`14` : `79,209,409`	0.000	1.000	0.000
rs11625461 lBF = `0.040507` Chr`14` : `52,403,684`	0.000	1.000	0.000
rs3783938 lBF = `0.0404748` Chr`14` : `81,594,380`	0.000	1.000	0.000
rs36032616 lBF = `0.00464787` Chr`14` : `72,484,156`	0.000	1.000	0.000
rs7148498 lBF = `-0.0201924` Chr`14` : `96,107,955`	0.000	1.000	0.000
rs117097805 lBF = `-0.0216567` Chr`14` : `43,529,765`	0.000	1.000	0.000
rs225848 lBF = `-0.0228291` Chr`14` : `30,594,657`	0.000	1.000	0.000
rs10130259 lBF = `-0.0260198` Chr`14` : `83,342,322`	0.000	1.000	0.000
rs8017455 lBF = `-0.0368176` Chr`14` : `81,575,454`	0.000	1.000	0.000
rs4280164 lBF = `-0.0396837` Chr`14` : `24,771,285`	0.000	1.000	0.000
rs7141276 lBF = `-0.121236` Chr`14` : `35,135,186`	0.000	1.000	0.000
rs7151526 lBF = `4.71892` Chr`14` : `94,863,636`	0.000	1.000	0.000
rs17108533 lBF = `0.245552` Chr`14` : `71,249,802`	0.000	1.000	0.000
rs7159841 lBF = `0.159177` Chr`14` : `47,863,835`	0.000	1.000	0.000
rs2337406 lBF = `0.149472` Chr`14` : `107,180,574`	0.000	1.000	0.000
rs73276024 lBF = `0.11509` Chr`14` : `56,356,921`	0.000	1.000	0.000
rs2784505 lBF = `0.111834` Chr`14` : `62,432,013`	0.000	1.000	0.000
rs55951657 lBF = `0.0422951` Chr`14` : `74,074,732`	0.000	1.000	0.000
rs11851015 lBF = `0.0263039` Chr`14` : `57,669,533`	0.000	1.000	0.000
rs35209784 lBF = `0.00609035` Chr`14` : `59,751,830`	0.000	1.000	0.000
rs36059107 lBF = `0.00553917` Chr`14` : `34,237,953`	0.000	1.000	0.000
rs718545 lBF = `-0.00884296` Chr`14` : `30,489,623`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9997

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9984

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9962

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9907

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9899

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9801

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9795

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9767

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9763

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9683

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9492

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9422

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9418

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9399

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9380

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9295

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9265

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9205

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9155

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9147

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9145

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9124

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9108

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9009

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9008

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8986

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8960

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8907

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8887

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8877

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8855

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8819

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8777

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8735

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8724

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8709

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8604

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8603

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8571

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8525

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8513

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8430

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8390

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8378

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8269

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8256

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.8223

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8177

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8171

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8112

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8033

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8023

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7978

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.7944

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7942

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7895

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7832

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7720

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7658

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7590

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7421

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7373

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7357

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7343

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7338

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7308

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7282

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7278

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7268

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7130

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7053

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7049

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7020

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7005

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6992

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6934

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6928

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6919

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6710

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6588

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6541

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6465

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6213

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6118

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6105

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5879

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5558

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5480

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5234

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5160

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5158

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5151

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4995

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4908

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4810

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4668

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4645

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4603

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4562

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4526

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4524

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4511

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4380

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4104

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4098

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.4054

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4021

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3961

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3949

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3830

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3781

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3748

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3743

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3722

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3557

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3504

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3500

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.3437

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3414

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3298

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3194

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3072

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3003

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2841

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2801

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2622

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2435

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2355

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2221

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2126

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2108

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1845

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1763

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1751

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.1661

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1649

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1606

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1578

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1572

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1570

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.1529

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1444

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1358

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1135

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1121

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1102

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1061

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1056

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0988

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0957

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0923

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0910

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0907

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0896

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0880

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0877

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0876

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0796

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0787

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0769

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0732

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0660

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0613

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.0595

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0569

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0566

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0562

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0543

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0534

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0527

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0527

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.0522

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0514

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0513

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`)