TreeWAS – [Z96.7] Presence of other bone and tendon implants

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
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.828	0.172	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.733	0.267	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.727	0.273	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.719	0.281	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.716	0.284	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.714	0.286	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.704	0.296	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.665	0.334	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.657	0.343	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.645	0.355	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.636	0.364	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.632	0.368	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.612	0.388	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.610	0.390	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.598	0.402	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.598	0.402	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.587	0.413	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.586	0.414	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.568	0.432	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.567	0.433	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.556	0.444	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.554	0.445	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.550	0.450	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.546	0.454	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.545	0.455	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.517	0.483	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.503	0.497	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.490	0.510	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.487	0.513	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.485	0.515	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.470	0.530	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.460	0.539	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.433	0.566	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.413	0.587	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.387	0.613	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.381	0.619	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.378	0.622	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.365	0.635	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.363	0.637	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.335	0.665	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.333	0.667	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.322	0.678	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.310	0.690	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.302	0.698	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.290	0.710	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.267	0.733	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.252	0.748	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.248	0.752	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.241	0.759	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.225	0.775	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.213	0.787	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.212	0.788	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.199	0.801	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.194	0.806	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.187	0.813	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.187	0.813	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.180	0.820	0.001
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.170	0.830	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.167	0.833	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.146	0.854	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.145	0.854	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.145	0.855	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.131	0.869	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.126	0.874	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.125	0.875	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.121	0.878	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.121	0.879	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.114	0.886	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.102	0.898	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.101	0.899	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.098	0.901	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.091	0.909	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.090	0.910	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.088	0.911	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.082	0.917	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.082	0.918	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.081	0.919	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.071	0.927	0.002
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.065	0.935	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.064	0.936	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.064	0.936	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.058	0.942	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.058	0.942	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.054	0.946	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.050	0.950	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.047	0.953	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.046	0.954	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.046	0.954	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.037	0.962	0.001
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.026	0.973	0.001
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.025	0.974	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.024	0.976	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.021	0.979	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.021	0.979	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.020	0.980	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.018	0.982	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.017	0.983	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.017	0.983	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.016	0.984	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.015	0.985	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.986	0.014
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.011	0.988	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.011	0.989	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.010	0.990	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.010	0.990	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.010	0.990	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.009	0.991	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.009	0.991	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.008	0.992	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.008	0.992	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.008	0.992	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.007	0.992	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.007	0.993	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.007	0.993	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.006	0.993	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.006	0.994	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.006	0.994	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.006	0.994	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.005	0.994	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.005	0.995	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.005	0.995	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.005	0.995	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.005	0.995	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.005	0.995	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.004	0.996	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.004	0.996	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.004	0.996	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.003	0.996	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.004	0.996	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.002	0.997	0.001
rs12339966 lBF = `-0.0664146` Chr`9` : `11,641,243`	0.003	0.997	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.003	0.997	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.003	0.997	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.003	0.997	0.000
rs10513249 lBF = `-0.0520206` Chr`9` : `117,303,911`	0.003	0.997	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.003	0.997	0.000
rs640850 lBF = `-0.0404403` Chr`9` : `29,536,618`	0.000	0.997	0.003
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	0.003	0.997	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.003	0.997	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.003	0.997	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.003	0.997	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.003	0.997	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.003	0.997	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.003	0.997	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.002	0.997	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.002	0.998	0.000
rs914715 lBF = `0.108219` Chr`9` : `82,310,898`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.002	0.998	0.000
rs9650682 lBF = `0.0434435` Chr`9` : `15,457,777`	0.002	0.998	0.000
rs10746953 lBF = `-0.0701752` Chr`9` : `76,917,840`	0.000	0.998	0.002
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.002	0.998	0.000
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.998	0.002
rs490234 lBF = `-0.0504254` Chr`9` : `128,303,734`	0.000	0.998	0.002
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.002	0.998	0.000
rs7043482 lBF = `-0.0991513` Chr`9` : `85,135,915`	0.000	0.998	0.002
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.998	0.000
rs3025343 lBF = `5.75082` Chr`9` : `136,478,355`	0.000	0.998	0.002
rs739447 lBF = `6.23807` Chr`9` : `136,477,511`	0.000	0.998	0.002
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.002	0.998	0.000
rs1535454 lBF = `0.810124` Chr`9` : `5,410,723`	0.000	0.998	0.002
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.998	0.000
rs113864525 lBF = `5.65687` Chr`9` : `136,473,053`	0.000	0.998	0.002
rs143639284 lBF = `0.00187276` Chr`9` : `5,140,958`	0.001	0.999	0.000
rs3008706 lBF = `-0.0415957` Chr`9` : `16,034,538`	0.000	0.999	0.001
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.001	0.999	0.000
rs3789868 lBF = `2.21391` Chr`9` : `117,875,681`	0.001	0.999	0.000
rs601162 lBF = `-0.026721` Chr`9` : `29,632,142`	0.001	0.999	0.000
rs17054265 lBF = `4.41443` Chr`9` : `91,260,562`	0.001	0.999	0.000
rs3789867 lBF = `2.17607` Chr`9` : `117,875,688`	0.001	0.999	0.000
rs7874142 lBF = `0.0135613` Chr`9` : `137,704,782`	0.000	0.999	0.001
rs6475448 lBF = `0.0720917` Chr`9` : `20,497,142`	0.000	0.999	0.001
rs62544064 lBF = `0.00328964` Chr`9` : `26,469,905`	0.000	0.999	0.001
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.000	0.999	0.001
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.001	0.999	0.000
rs10965235 lBF = `-0.00159282` Chr`9` : `22,115,105`	0.000	0.999	0.001
rs1780159 lBF = `-0.0111503` Chr`9` : `15,157,977`	0.001	0.999	0.000
rs17694493 lBF = `9.13598` Chr`9` : `22,041,998`	0.000	0.999	0.001
rs10809457 lBF = `-0.080016` Chr`9` : `11,402,319`	0.001	0.999	0.000
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
rs10982256 lBF = `-0.0253168` Chr`9` : `117,260,834`	0.000	0.999	0.001
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.001	0.999	0.000
rs76695314 lBF = `0.00021739` Chr`9` : `30,912,925`	0.001	0.999	0.000
rs148861184 lBF = `0.00012183` Chr`9` : `30,975,637`	0.001	0.999	0.000
rs114241027 lBF = `0.00030213` Chr`9` : `12,802,823`	0.001	0.999	0.000
rs17785420 lBF = `0.00018714` Chr`9` : `30,920,638`	0.001	0.999	0.000
rs143976741 lBF = `0.0000724` Chr`9` : `30,966,395`	0.001	0.999	0.000
rs138792676 lBF = `0.0000724` Chr`9` : `30,973,698`	0.001	0.999	0.000
rs145505122 lBF = `0.00005931` Chr`9` : `30,975,566`	0.001	0.999	0.000
rs7853989 lBF = `7.17616` Chr`9` : `136,131,592`	0.001	0.999	0.000
rs138746541 lBF = `0.00004011` Chr`9` : `30,904,471`	0.001	0.999	0.000
rs189970609 lBF = `0.00004011` Chr`9` : `30,898,161`	0.001	0.999	0.000
rs139528199 lBF = `0.00004011` Chr`9` : `30,905,405`	0.001	0.999	0.000
rs139088314 lBF = `0.00004011` Chr`9` : `30,902,950`	0.001	0.999	0.000
rs149450639 lBF = `0.00003907` Chr`9` : `30,907,835`	0.001	0.999	0.000
rs17785414 lBF = `0.00003907` Chr`9` : `30,916,630`	0.001	0.999	0.000
rs80324951 lBF = `0.00003907` Chr`9` : `30,910,159`	0.001	0.999	0.000
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rs17774966 lBF = `0.0438255` Chr`9` : `25,551,357`	0.000	1.000	0.000
rs10816533 lBF = `0.0260514` Chr`9` : `99,539,138`	0.000	1.000	0.000
rs6476030 lBF = `0.00137645` Chr`9` : `289,061`	0.000	1.000	0.000
rs75824829 lBF = `-0.0146663` Chr`9` : `138,268,602`	0.000	1.000	0.000
rs16938145 lBF = `-0.0162183` Chr`9` : `2,256,092`	0.000	1.000	0.000
rs13287980 lBF = `-0.0393366` Chr`9` : `107,324,200`	0.000	1.000	0.000
rs888219 lBF = `-0.0944461` Chr`9` : `128,929,023`	0.000	1.000	0.000
rs8176749 lBF = `14.8273` Chr`9` : `136,131,188`	0.000	1.000	0.000
rs8176743 lBF = `14.2128` Chr`9` : `136,131,415`	0.000	1.000	0.000
rs979203 lBF = `10.0324` Chr`9` : `13,730,665`	0.000	1.000	0.000
rs1414253 lBF = `9.4812` Chr`9` : `21,755,630`	0.000	1.000	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.000	1.000	0.000
rs10124550 lBF = `1.03279` Chr`9` : `16,512,748`	0.000	1.000	0.000
rs3731211 lBF = `0.570384` Chr`9` : `21,986,847`	0.000	1.000	0.000
rs3025387 lBF = `0.437517` Chr`9` : `136,502,987`	0.000	1.000	0.000
rs13284520 lBF = `0.430684` Chr`9` : `136,502,572`	0.000	1.000	0.000
rs3025388 lBF = `0.421546` Chr`9` : `136,503,256`	0.000	1.000	0.000
rs11143609 lBF = `0.140816` Chr`9` : `76,158,682`	0.000	1.000	0.000
rs2472386 lBF = `0.104768` Chr`9` : `107,601,541`	0.000	1.000	0.000
rs10958998 lBF = `-0.0155727` Chr`9` : `10,275,798`	0.000	1.000	0.000
rs9969804 lBF = `-0.081137` Chr`9` : `95,429,120`	0.000	1.000	0.000
rs8176746 lBF = `15.0421` Chr`9` : `136,131,322`	0.000	1.000	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.000	1.000	0.000
rs7872515 lBF = `0.93142` Chr`9` : `94,822,540`	0.000	1.000	0.000
rs11792861 lBF = `0.771754` Chr`9` : `111,809,295`	0.000	1.000	0.000
rs3025386 lBF = `0.417491` Chr`9` : `136,502,764`	0.000	1.000	0.000
rs3025385 lBF = `0.417089` Chr`9` : `136,502,739`	0.000	1.000	0.000
rs751543 lBF = `0.160043` Chr`9` : `119,122,342`	0.000	1.000	0.000
rs16925187 lBF = `0.00717` Chr`9` : `7,043,455`	0.000	1.000	0.000
rs3919995 lBF = `-0.00926313` Chr`9` : `109,437,968`	0.000	1.000	0.000
rs12552369 lBF = `-0.00950218` Chr`9` : `135,632,493`	0.000	1.000	0.000
rs16929097 lBF = `-0.0324599` Chr`9` : `12,521,826`	0.000	1.000	0.000
rs1535480 lBF = `-0.0655907` Chr`9` : `7,925,381`	0.000	1.000	0.000
rs7043114 lBF = `-0.0800226` Chr`9` : `95,387,983`	0.000	1.000	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.000	1.000	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.000	1.000	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.000	1.000	0.000
rs2905072 lBF = `1.38245` Chr`9` : `135,845,035`	0.000	1.000	0.000
rs28642252 lBF = `1.31769` Chr`9` : `139,245,289`	0.000	1.000	0.000
rs12345625 lBF = `0.0619719` Chr`9` : `31,479,005`	0.000	1.000	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.000	1.000	0.000
rs2779551 lBF = `0.00679964` Chr`9` : `101,253,226`	0.000	1.000	0.000
rs9785234 lBF = `-0.0285285` Chr`9` : `98,930,250`	0.000	1.000	0.000
rs10969375 lBF = `-0.0563838` Chr`9` : `29,783,989`	0.000	1.000	0.000
rs12345013 lBF = `-0.0667299` Chr`9` : `79,761,711`	0.000	1.000	0.000
rs10813960 lBF = `-0.0788014` Chr`9` : `33,180,362`	0.000	1.000	0.000
rs12342831 lBF = `-0.0888611` Chr`9` : `33,124,872`	0.000	1.000	0.000
rs943306 lBF = `-0.0978266` Chr`9` : `119,624,675`	0.000	1.000	0.000
rs10992211 lBF = `-0.108558` Chr`9` : `92,892,015`	0.000	1.000	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.000	1.000	0.000
rs4074785 lBF = `6.03962` Chr`9` : `21,981,583`	0.000	1.000	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.000	1.000	0.000
rs10969557 lBF = `2.49886` Chr`9` : `310,970`	0.000	1.000	0.000
rs3849942 lBF = `0.390597` Chr`9` : `27,543,281`	0.000	1.000	0.000
rs3849943 lBF = `0.388955` Chr`9` : `27,543,382`	0.000	1.000	0.000
rs290986 lBF = `0.261516` Chr`9` : `93,563,536`	0.000	1.000	0.000
rs12375901 lBF = `0.0451008` Chr`9` : `23,035,987`	0.000	1.000	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	1.000	0.000
rs180850064 lBF = `-0.00339267` Chr`9` : `33,995,446`	0.000	1.000	0.000
rs10991437 lBF = `-0.0258699` Chr`9` : `107,735,920`	0.000	1.000	0.000
rs1360382 lBF = `-0.0298418` Chr`9` : `23,379,719`	0.000	1.000	0.000
rs41313321 lBF = `-0.0398379` Chr`9` : `131,051,316`	0.000	1.000	0.000
rs11141915 lBF = `-0.0525759` Chr`9` : `90,235,794`	0.000	1.000	0.000
rs4841895 lBF = `-0.0603263` Chr`9` : `137,424,042`	0.000	1.000	0.000
rs951005 lBF = `-0.0778702` Chr`9` : `34,743,681`	0.000	1.000	0.000
rs1572299 lBF = `-0.0955674` Chr`9` : `121,346,417`	0.000	1.000	0.000
rs11789399 lBF = `-0.0980736` Chr`9` : `121,359,286`	0.000	1.000	0.000
rs657152 lBF = `149.847` Chr`9` : `136,139,265`	0.000	1.000	0.000
rs2151280 lBF = `148.877` Chr`9` : `22,034,719`	0.000	1.000	0.000
rs10965250 lBF = `27.0523` Chr`9` : `22,133,284`	0.000	1.000	0.000
rs10821415 lBF = `0.997759` Chr`9` : `97,713,459`	0.000	1.000	0.000
rs12349081 lBF = `0.551151` Chr`9` : `21,951,902`	0.000	1.000	0.000
rs17791513 lBF = `0.363098` Chr`9` : `81,905,590`	0.000	1.000	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.000	1.000	0.000
rs1463984 lBF = `0.220472` Chr`9` : `108,427,062`	0.000	1.000	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	1.000	0.000
rs112541862 lBF = `0.0130169` Chr`9` : `97,483,158`	0.000	1.000	0.000
rs7849530 lBF = `-0.0530194` Chr`9` : `94,927,735`	0.000	1.000	0.000
rs7021663 lBF = `-0.0602114` Chr`9` : `136,676,014`	0.000	1.000	0.000
rs1319535 lBF = `-0.076085` Chr`9` : `28,181,085`	0.000	1.000	0.000
rs62573974 lBF = `21.5749` Chr`9` : `100,536,542`	0.000	1.000	0.000
rs512770 lBF = `8.25329` Chr`9` : `136,133,506`	0.000	1.000	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.000	1.000	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.000	1.000	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.000	1.000	0.000
rs2472448 lBF = `0.142433` Chr`9` : `107,604,507`	0.000	1.000	0.000
rs3802458 lBF = `0.0294039` Chr`9` : `97,741,274`	0.000	1.000	0.000
rs2213920 lBF = `0.019707` Chr`9` : `118,271,584`	0.000	1.000	0.000
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.000	1.000	0.000
rs6477694 lBF = `-0.0432326` Chr`9` : `111,932,342`	0.000	1.000	0.000
rs2889829 lBF = `-0.06427` Chr`9` : `27,610,657`	0.000	1.000	0.000
rs12551906 lBF = `-0.0806597` Chr`9` : `102,119,090`	0.000	1.000	0.000
rs10813951 lBF = `-0.0908161` Chr`9` : `33,128,021`	0.000	1.000	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.000	1.000	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.000	1.000	0.000
rs10511598 lBF = `5.70461` Chr`9` : `14,841,633`	0.000	1.000	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	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)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6514

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2466

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0606

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9895

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9813

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9640

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9568

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9532

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9325

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9308

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9303

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9274

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9163

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9137

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9127

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9122

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9083

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9037

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8897

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8878

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8789

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8687

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8670

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8648

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8561

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8463

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8455

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8337

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8276

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8194

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8143

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8007

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7978

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7879

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7762

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7707

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7666

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7601

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7579

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7557

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7506

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7372

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7107

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7085

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7023

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6852

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6807

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6739

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6592

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6417

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6381

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6326

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6253

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6249

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6231

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6184

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6047

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6038

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5843

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5722

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5597

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5148

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5089

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4990

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4732

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4295

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4288

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4105

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3798

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3752

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3716

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3690

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3124

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2911

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2598

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2316

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2278

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2255

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2209

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2202

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2088

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2040

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2013

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1983

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1655

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1582

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1557

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1540

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1464

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1398

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1397

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1330

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1307

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1305

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1271

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1200

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1181

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1102

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1051

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1006

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0921

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0788

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0716

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0691

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0677

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0655

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0571

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0571

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0548

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0542

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.0521

Cluster X0237

log Bayes Factor = 123.902

contains 6 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`)