TreeWAS – [Z99.3] Dependence on wheelchair

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
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.900	0.100	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.808	0.192	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.772	0.228	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.750	0.250	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.733	0.267	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.729	0.271	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.705	0.295	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.701	0.299	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.674	0.325	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.643	0.357	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.635	0.365	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.623	0.377	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.596	0.404	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.593	0.407	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.588	0.412	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.579	0.421	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.572	0.428	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.568	0.432	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.566	0.434	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.556	0.444	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.535	0.464	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.523	0.477	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.518	0.482	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.513	0.487	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.511	0.489	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.504	0.496	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.504	0.496	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.504	0.496	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.503	0.497	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.495	0.505	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.493	0.507	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.484	0.515	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.473	0.527	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.450	0.550	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.437	0.563	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.437	0.563	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.435	0.565	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.432	0.568	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.430	0.570	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.426	0.574	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.421	0.578	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.421	0.579	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.411	0.589	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.408	0.592	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.407	0.593	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.399	0.600	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.396	0.603	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.375	0.625	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.372	0.628	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.361	0.639	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.360	0.640	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.349	0.650	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.343	0.657	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.342	0.658	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.338	0.662	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.336	0.664	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.326	0.673	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.322	0.677	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.310	0.689	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.310	0.690	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.295	0.705	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.288	0.712	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.284	0.716	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.264	0.735	0.001
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.260	0.740	0.001
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.236	0.763	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.224	0.775	0.001
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.224	0.776	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.197	0.803	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.194	0.805	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.187	0.812	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.186	0.814	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.173	0.827	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.173	0.827	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.131	0.869	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.125	0.875	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.123	0.877	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.120	0.880	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.117	0.883	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.110	0.890	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.093	0.907	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.091	0.909	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.089	0.911	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.085	0.914	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.084	0.916	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.082	0.918	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.077	0.921	0.002
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.071	0.929	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.059	0.940	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.055	0.945	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.047	0.953	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.038	0.962	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.037	0.963	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.035	0.965	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.034	0.966	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.032	0.967	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.027	0.973	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.027	0.973	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.022	0.978	0.001
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.979	0.021
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.021	0.979	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.020	0.980	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.020	0.980	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.019	0.981	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.019	0.981	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.019	0.981	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.018	0.981	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.018	0.982	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.016	0.984	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.013	0.987	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.012	0.987	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.011	0.988	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.011	0.989	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.010	0.990	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.010	0.990	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.009	0.991	0.000
rs4878497 lBF = `0.115916` Chr`9` : `32,432,974`	0.009	0.991	0.000
rs11795343 lBF = `0.82369` Chr`9` : `32,523,737`	0.000	0.991	0.009
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.009	0.991	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.008	0.992	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.008	0.992	0.000
rs7032871 lBF = `0.0124349` Chr`9` : `32,422,690`	0.000	0.992	0.008
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.007	0.992	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.007	0.993	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.007	0.993	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.007	0.993	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.993	0.007
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.007	0.993	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.007	0.993	0.000
rs13295552 lBF = `0.233886` Chr`9` : `84,522,749`	0.000	0.993	0.007
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.007	0.993	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.007	0.993	0.000
rs7860634 lBF = `-0.0425554` Chr`9` : `139,089,679`	0.007	0.993	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.007	0.993	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.006	0.994	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.006	0.994	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.006	0.994	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.006	0.994	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.005	0.994	0.001
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.005	0.994	0.001
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.006	0.994	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.006	0.994	0.000
rs7856367 lBF = `-0.0448927` Chr`9` : `124,942,544`	0.000	0.994	0.006
rs10970976 lBF = `-0.0932967` Chr`9` : `32,433,526`	0.000	0.995	0.005
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.004	0.995	0.001
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.005	0.995	0.000
rs9650682 lBF = `0.0434435` Chr`9` : `15,457,777`	0.005	0.995	0.000
rs10989692 lBF = `0.0578047` Chr`9` : `104,674,555`	0.000	0.996	0.004
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.004	0.996	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.004	0.996	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.004	0.996	0.000
rs3138493 lBF = `0.281358` Chr`9` : `92,219,260`	0.004	0.996	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.004	0.996	0.000
rs79156074 lBF = `0.076147` Chr`9` : `16,000,235`	0.004	0.996	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.003	0.996	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.004	0.996	0.000
rs11788518 lBF = `0.0996212` Chr`9` : `78,917,378`	0.000	0.997	0.003
rs10901212 lBF = `-0.0337652` Chr`9` : `135,647,021`	0.003	0.997	0.000
rs2839874 lBF = `-0.0886796` Chr`9` : `116,890,163`	0.000	0.997	0.003
rs10820447 lBF = `-0.0138771` Chr`9` : `99,132,044`	0.003	0.997	0.000
rs1327796 lBF = `-0.0416522` Chr`9` : `112,526,289`	0.000	0.997	0.003
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.003	0.997	0.000
rs12340987 lBF = `0.0655343` Chr`9` : `87,770,927`	0.003	0.997	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.003	0.997	0.000
rs3849942 lBF = `0.390597` Chr`9` : `27,543,281`	0.000	0.997	0.003
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.003	0.997	0.000
rs11144688 lBF = `0.00352942` Chr`9` : `78,542,286`	0.003	0.997	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.003	0.997	0.000
rs72700966 lBF = `-0.0322007` Chr`9` : `10,505,224`	0.000	0.997	0.003
rs2814707 lBF = `-0.043331` Chr`9` : `27,536,397`	0.003	0.997	0.000
rs17774966 lBF = `0.0438255` Chr`9` : `25,551,357`	0.000	0.997	0.003
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.002	0.997	0.000
rs669484 lBF = `-0.0102665` Chr`9` : `10,433,023`	0.000	0.997	0.003
rs13439915 lBF = `-0.06716` Chr`9` : `114,918,170`	0.000	0.997	0.003
rs2025151 lBF = `-0.0584531` Chr`9` : `99,161,512`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs3849943 lBF = `0.388955` Chr`9` : `27,543,382`	0.000	0.998	0.002
rs3736986 lBF = `-0.0063385` Chr`9` : `36,194,569`	0.000	0.998	0.002
rs7035284 lBF = `-0.0671117` Chr`9` : `21,678,973`	0.000	0.998	0.002
rs2273720 lBF = `-0.00037112` Chr`9` : `27,209,469`	0.000	0.998	0.002
rs1319535 lBF = `-0.076085` Chr`9` : `28,181,085`	0.002	0.998	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.002	0.998	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.002	0.998	0.000
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.998	0.002
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs10757269 lBF = `323.969` Chr`9` : `22,072,264`	0.002	0.998	0.000
rs10121009 lBF = `-0.084287` Chr`9` : `35,269,819`	0.000	0.998	0.002
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.001	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.998	0.000
rs7046653 lBF = `0.676225` Chr`9` : `27,490,967`	0.000	0.998	0.002
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.002	0.998	0.000
rs10984447 lBF = `0.157799` Chr`9` : `121,984,553`	0.000	0.998	0.002
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.002	0.998	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.000	0.998	0.002
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.001	0.998	0.000
rs17060946 lBF = `0.036201` Chr`9` : `77,808,519`	0.002	0.998	0.000
rs17637172 lBF = `0.0235876` Chr`9` : `122,223,958`	0.001	0.998	0.000
rs143639284 lBF = `0.00187276` Chr`9` : `5,140,958`	0.001	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs649891 lBF = `0.0337293` Chr`9` : `10,430,602`	0.000	0.999	0.001
rs10965235 lBF = `-0.00159282` Chr`9` : `22,115,105`	0.000	0.999	0.001
rs7025486 lBF = `-0.0535816` Chr`9` : `124,422,403`	0.000	0.999	0.001
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rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.001	0.999	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.000	0.999	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.000	0.999	0.000
rs10980800 lBF = `-0.0244319` Chr`9` : `113,915,905`	0.001	0.999	0.000
rs12341542 lBF = `5.44813` Chr`9` : `16,788,253`	0.000	0.999	0.001
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.000	0.999	0.001
rs11789898 lBF = `-0.0291362` Chr`9` : `136,925,663`	0.000	0.999	0.001
rs7870753 lBF = `-0.0581608` Chr`9` : `99,201,585`	0.001	0.999	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.001	0.999	0.000
rs10760442 lBF = `5.00715` Chr`9` : `129,383,900`	0.001	0.999	0.000
rs3802458 lBF = `0.0294039` Chr`9` : `97,741,274`	0.000	0.999	0.000
rs6479272 lBF = `-0.0980827` Chr`9` : `99,097,527`	0.001	0.999	0.000
rs1075654 lBF = `23.1554` Chr`9` : `136,928,276`	0.001	0.999	0.000
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	0.999	0.000
rs4742269 lBF = `-0.00745633` Chr`9` : `6,849,317`	0.000	0.999	0.000
rs2398893 lBF = `-0.0522915` Chr`9` : `96,758,342`	0.001	0.999	0.000
rs11145465 lBF = `-0.0591354` Chr`9` : `71,766,593`	0.001	0.999	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.000	0.999	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.000	0.999	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.000	0.999	0.000
rs139475366 lBF = `0.00703853` Chr`9` : `100,273,497`	0.000	0.999	0.000
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.000	0.999	0.000
rs2515629 lBF = `-0.0149636` Chr`9` : `107,594,364`	0.000	0.999	0.001
rs10785877 lBF = `-0.0647976` Chr`9` : `137,125,501`	0.001	0.999	0.000
rs7852872 lBF = `-0.0654586` Chr`9` : `119,249,339`	0.000	0.999	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.000	0.999	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.000	0.999	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	0.999	0.000
rs817300 lBF = `0.0661919` Chr`9` : `98,380,222`	0.000	0.999	0.000
rs16937883 lBF = `0.00563359` Chr`9` : `20,098,711`	0.000	0.999	0.000
rs180850064 lBF = `-0.00339267` Chr`9` : `33,995,446`	0.000	0.999	0.000
rs12378446 lBF = `-0.0440931` Chr`9` : `11,369,213`	0.000	0.999	0.001
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.000	1.000	0.000
rs4636294 lBF = `14.3539` Chr`9` : `21,747,803`	0.000	1.000	0.000
rs377310910 lBF = `0.0488873` Chr`9` : `1,940,937`	0.000	1.000	0.000
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.000	1.000	0.000
rs17481720 lBF = `0.0076358` Chr`9` : `131,889,294`	0.000	1.000	0.000
rs62544064 lBF = `0.00328964` Chr`9` : `26,469,905`	0.000	1.000	0.000
rs10985070 lBF = `-0.0216477` Chr`9` : `123,636,121`	0.000	1.000	0.000
rs3761847 lBF = `-0.0248901` Chr`9` : `123,690,239`	0.000	1.000	0.000
rs10739221 lBF = `-0.0385021` Chr`9` : `109,060,830`	0.000	1.000	0.000
rs10967505 lBF = `-0.0461572` Chr`9` : `26,737,656`	0.000	1.000	0.000
rs4741343 lBF = `-0.0639454` Chr`9` : `14,075,095`	0.000	1.000	0.000
rs12554707 lBF = `-0.0688935` Chr`9` : `22,842,202`	0.000	1.000	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.000	1.000	0.000
rs12378800 lBF = `7.72266` Chr`9` : `100,631,820`	0.000	1.000	0.000
rs383182 lBF = `4.20337` Chr`9` : `76,115,818`	0.000	1.000	0.000
rs10858396 lBF = `0.0428561` Chr`9` : `138,275,776`	0.000	1.000	0.000
rs3802344 lBF = `0.0328771` Chr`9` : `133,534,279`	0.000	1.000	0.000
rs10965890 lBF = `-0.0240333` Chr`9` : `23,516,288`	0.000	1.000	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.000	1.000	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.000	1.000	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.000	1.000	0.000
rs12380424 lBF = `0.099035` Chr`9` : `131,403,221`	0.000	1.000	0.000
rs2210430 lBF = `0.0966713` Chr`9` : `25,501,297`	0.000	1.000	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.000	1.000	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	1.000	0.000
rs57994353 lBF = `-0.0119348` Chr`9` : `139,356,987`	0.000	1.000	0.000
rs10982156 lBF = `-0.012601` Chr`9` : `117,088,064`	0.000	1.000	0.000
rs13287980 lBF = `-0.0393366` Chr`9` : `107,324,200`	0.000	1.000	0.000
rs3118515 lBF = `-0.0424838` Chr`9` : `137,436,314`	0.000	1.000	0.000
rs4879677 lBF = `-0.0852877` Chr`9` : `27,664,432`	0.000	1.000	0.000
rs10123671 lBF = `-0.085821` Chr`9` : `29,161,218`	0.000	1.000	0.000
rs10810657 lBF = `20.0354` Chr`9` : `16,884,586`	0.000	1.000	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.000	1.000	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.000	1.000	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.000	1.000	0.000
rs1257763 lBF = `0.0407256` Chr`9` : `96,893,945`	0.000	1.000	0.000
rs10969853 lBF = `-0.0427882` Chr`9` : `30,751,220`	0.000	1.000	0.000
rs3747547 lBF = `-0.045658` Chr`9` : `37,916,408`	0.000	1.000	0.000
rs7020651 lBF = `-0.060618` Chr`9` : `22,972,837`	0.000	1.000	0.000
rs4740829 lBF = `-0.0624501` Chr`9` : `5,881,364`	0.000	1.000	0.000
rs1360695 lBF = `-0.078645` Chr`9` : `122,549,086`	0.000	1.000	0.000
rs11793049 lBF = `-0.0808728` Chr`9` : `116,773,869`	0.000	1.000	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.000	1.000	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.000	1.000	0.000
rs117134689 lBF = `7.85157` Chr`9` : `5,936,490`	0.000	1.000	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.000	1.000	0.000
rs7872515 lBF = `0.93142` Chr`9` : `94,822,540`	0.000	1.000	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.000	1.000	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.000	1.000	0.000
rs148359873 lBF = `0.00976771` Chr`9` : `31,450,666`	0.000	1.000	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	1.000	0.000
rs150611042 lBF = `0.00705816` Chr`9` : `117,083,803`	0.000	1.000	0.000
rs35419961 lBF = `-0.031347` Chr`9` : `11,930,364`	0.000	1.000	0.000
rs1771792 lBF = `-0.042262` Chr`9` : `125,221,224`	0.000	1.000	0.000
rs2270204 lBF = `-0.0466587` Chr`9` : `131,042,734`	0.000	1.000	0.000
rs10760649 lBF = `-0.0501117` Chr`9` : `132,714,968`	0.000	1.000	0.000
rs569434 lBF = `-0.101952` Chr`9` : `135,344,407`	0.000	1.000	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.000	1.000	0.000
rs8176746 lBF = `15.0421` Chr`9` : `136,131,322`	0.000	1.000	0.000
rs78757963 lBF = `12.3274` Chr`9` : `6,282,511`	0.000	1.000	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.000	1.000	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.000	1.000	0.000
rs3829849 lBF = `3.6952` Chr`9` : `129,390,800`	0.000	1.000	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	1.000	0.000
rs3731211 lBF = `0.570384` Chr`9` : `21,986,847`	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

0.6998

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6259

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9999

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9985

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9979

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9977

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9974

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9968

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9963

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9957

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9939

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9937

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9912

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9878

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9876

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9849

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9849

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9826

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9814

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9806

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9788

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9788

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9785

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9713

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9707

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9650

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9578

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9575

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9574

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9505

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9500

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9459

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9433

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9428

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9308

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9220

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9168

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9129

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9129

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9099

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9032

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9028

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8971

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8937

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8924

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8831

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8734

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8703

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8678

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8508

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7988

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7980

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7902

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7802

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7521

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7244

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7236

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6977

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6920

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6868

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6792

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6732

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6662

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6640

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6564

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6336

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6326

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6150

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6108

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5737

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5707

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5597

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5591

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5555

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5332

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5226

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5106

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4627

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4591

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4578

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4554

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4482

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4480

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4478

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4468

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4009

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3886

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3786

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3696

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3590

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3325

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2807

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2795

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2371

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2347

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2281

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2260

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2160

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2021

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1962

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1910

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1600

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1567

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1545

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1425

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1409

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1408

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1381

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1331

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1252

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1091

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0829

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0771

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0762

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0749

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0711

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0637

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0616

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0568

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0527

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0511

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`)