TreeWAS – [K75.4] Autoimmune hepatitis

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
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.815	0.185	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.808	0.191	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.765	0.235	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.743	0.257	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.733	0.267	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.718	0.282	0.000
rs77719114 lBF = `7.9032` Chr`5` : `131,647,677`	0.691	0.309	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.669	0.331	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.639	0.360	0.000
rs185894886 lBF = `0.986587` Chr`5` : `133,129,951`	0.636	0.364	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.635	0.365	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.627	0.373	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.620	0.380	0.000
rs10073892 lBF = `0.550393` Chr`5` : `101,726,770`	0.618	0.382	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.611	0.389	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.609	0.391	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.595	0.405	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.587	0.413	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.584	0.416	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.577	0.423	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.573	0.427	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.567	0.433	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.563	0.437	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.557	0.443	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.554	0.446	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.545	0.455	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.541	0.459	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.538	0.462	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.535	0.465	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.531	0.469	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.528	0.472	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.520	0.480	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.516	0.483	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.514	0.486	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.512	0.487	0.000
rs2547917 lBF = `0.355799` Chr`5` : `58,713,680`	0.511	0.489	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.508	0.492	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.507	0.493	0.000
rs115467216 lBF = `17.4437` Chr`5` : `121,359,965`	0.493	0.507	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.485	0.515	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.480	0.520	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.479	0.521	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.470	0.530	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.466	0.534	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.452	0.548	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.446	0.554	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.443	0.556	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.425	0.575	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.418	0.581	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.413	0.587	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.412	0.588	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.411	0.589	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.410	0.590	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.407	0.593	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.401	0.599	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.397	0.603	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.388	0.612	0.000
rs6862844 lBF = `5.17727` Chr`5` : `124,365,967`	0.387	0.612	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.387	0.612	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.382	0.617	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.381	0.619	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.379	0.621	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.375	0.625	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.371	0.629	0.000
rs189845032 lBF = `4.6421` Chr`5` : `66,373,884`	0.370	0.630	0.000
rs77780208 lBF = `5.21025` Chr`5` : `104,879,134`	0.368	0.632	0.000
rs12109285 lBF = `4.39094` Chr`5` : `21,749,348`	0.360	0.640	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.356	0.644	0.000
rs7733624 lBF = `1.60888` Chr`5` : `104,467,115`	0.354	0.646	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.352	0.647	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.342	0.657	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.339	0.661	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.339	0.661	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.330	0.670	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.329	0.671	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.324	0.675	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.318	0.681	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.315	0.684	0.000
rs10440708 lBF = `1.90063` Chr`5` : `172,650,487`	0.313	0.687	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.300	0.700	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.296	0.703	0.000
rs40646 lBF = `10.6313` Chr`5` : `4,977,136`	0.295	0.705	0.000
rs72807343 lBF = `1.90438` Chr`5` : `179,238,261`	0.293	0.707	0.000
rs6867913 lBF = `0.33187` Chr`5` : `141,445,980`	0.293	0.707	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.289	0.711	0.000
rs78979090 lBF = `0.862664` Chr`5` : `119,679,448`	0.285	0.715	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.279	0.721	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.273	0.727	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.272	0.728	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.268	0.731	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.265	0.735	0.000
rs3091338 lBF = `3.71752` Chr`5` : `131,402,738`	0.260	0.740	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.246	0.754	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.243	0.757	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.240	0.759	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.231	0.769	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.229	0.771	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.227	0.772	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.215	0.785	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.213	0.786	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.214	0.786	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.212	0.787	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.212	0.788	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.211	0.788	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.208	0.792	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.207	0.792	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.207	0.793	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.207	0.793	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.202	0.797	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.198	0.802	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.196	0.804	0.000
rs17513600 lBF = `7.68406` Chr`5` : `110,152,701`	0.195	0.804	0.001
rs7725038 lBF = `8.19793` Chr`5` : `145,388,180`	0.191	0.808	0.000
rs73772260 lBF = `0.339117` Chr`5` : `79,446,904`	0.185	0.815	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.184	0.816	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.174	0.825	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.172	0.828	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.170	0.829	0.000
rs7730050 lBF = `10.742` Chr`5` : `157,746,633`	0.170	0.829	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.163	0.836	0.001
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.160	0.840	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.159	0.841	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.158	0.842	0.000
rs10044242 lBF = `7.21462` Chr`5` : `148,706,299`	0.155	0.845	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.155	0.845	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.148	0.852	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.146	0.853	0.000
rs11949055 lBF = `5.55169` Chr`5` : `131,576,737`	0.146	0.854	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.145	0.855	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.144	0.855	0.000
rs117041666 lBF = `0.22595` Chr`5` : `75,349,502`	0.143	0.856	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.143	0.857	0.000
rs193141495 lBF = `1.83175` Chr`5` : `15,802,238`	0.141	0.858	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.139	0.861	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.138	0.862	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.138	0.862	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.133	0.866	0.000
rs56183335 lBF = `6.66881` Chr`5` : `141,474,886`	0.132	0.868	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.131	0.868	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.131	0.869	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.124	0.876	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.123	0.877	0.000
rs188951355 lBF = `0.267959` Chr`5` : `142,933,351`	0.121	0.879	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.118	0.882	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.116	0.884	0.000
rs77885874 lBF = `3.45781` Chr`5` : `125,848,356`	0.111	0.888	0.000
rs72813183 lBF = `0.972903` Chr`5` : `176,734,648`	0.110	0.890	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.108	0.891	0.000
rs17622208 lBF = `8.49137` Chr`5` : `131,717,050`	0.108	0.892	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.106	0.894	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.105	0.895	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.104	0.896	0.000
rs10058074 lBF = `6.82637` Chr`5` : `131,686,146`	0.104	0.896	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.094	0.905	0.001
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.091	0.909	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.087	0.913	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.084	0.916	0.000
rs255414 lBF = `0.0722519` Chr`5` : `62,817,900`	0.083	0.917	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.083	0.917	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.082	0.918	0.000
rs12109307 lBF = `0.328099` Chr`5` : `120,906,482`	0.000	0.920	0.080
rs116775899 lBF = `12.2053` Chr`5` : `76,143,246`	0.074	0.926	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.073	0.927	0.000
rs7735563 lBF = `0.124872` Chr`5` : `130,764,936`	0.073	0.927	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.067	0.933	0.000
rs17716202 lBF = `0.0803736` Chr`5` : `55,904,898`	0.000	0.936	0.063
rs75002042 lBF = `0.149004` Chr`5` : `15,669,967`	0.063	0.937	0.000
rs1823068 lBF = `0.0273965` Chr`5` : `58,676,049`	0.061	0.938	0.000
rs11950562 lBF = `7.00079` Chr`5` : `131,652,529`	0.060	0.940	0.000
rs66833356 lBF = `6.86881` Chr`5` : `936,466`	0.059	0.940	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.059	0.941	0.000
rs7722425 lBF = `0.0856015` Chr`5` : `127,125,762`	0.057	0.943	0.000
rs76550486 lBF = `0.0837928` Chr`5` : `45,479,895`	0.056	0.944	0.000
rs10463833 lBF = `0.0826456` Chr`5` : `127,122,312`	0.054	0.945	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.053	0.947	0.000
rs27432 lBF = `0.0525706` Chr`5` : `96,119,273`	0.053	0.947	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.051	0.949	0.000
rs39841 lBF = `0.0492561` Chr`5` : `96,120,170`	0.051	0.949	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.049	0.951	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.048	0.952	0.000
rs4705938 lBF = `7.1472` Chr`5` : `131,694,077`	0.047	0.953	0.000
rs1050152 lBF = `8.11355` Chr`5` : `131,676,320`	0.045	0.955	0.000
rs80228232 lBF = `25.8823` Chr`5` : `131,388,213`	0.045	0.955	0.000
rs1498103 lBF = `-0.00762992` Chr`5` : `19,839,503`	0.041	0.959	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.041	0.959	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.040	0.960	0.000
rs2255280 lBF = `1.07296` Chr`5` : `39,394,989`	0.001	0.960	0.039
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.039	0.960	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.039	0.961	0.000
rs170020 lBF = `0.0335393` Chr`5` : `151,344,558`	0.039	0.961	0.000
rs114461222 lBF = `0.151805` Chr`5` : `112,212,914`	0.039	0.961	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.036	0.963	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.035	0.965	0.000
rs2549003 lBF = `2.19159` Chr`5` : `131,829,297`	0.035	0.965	0.000
rs56399423 lBF = `7.85737` Chr`5` : `131,672,657`	0.035	0.965	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.035	0.965	0.000
rs775326 lBF = `0.00215268` Chr`5` : `62,918,416`	0.034	0.966	0.000
rs78606339 lBF = `1.33923` Chr`5` : `165,428,979`	0.034	0.966	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.033	0.967	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.033	0.967	0.000
rs35407 lBF = `7.00446` Chr`5` : `33,946,571`	0.031	0.968	0.000
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rs37369 lBF = `-0.0685245` Chr`5` : `35,037,115`	0.002	0.998	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.002	0.998	0.000
rs191199264 lBF = `0.00127413` Chr`5` : `151,400,700`	0.001	0.998	0.000
rs2522056 lBF = `0.28994` Chr`5` : `131,801,726`	0.000	0.998	0.002
rs1062177 lBF = `0.134754` Chr`5` : `151,184,701`	0.000	0.998	0.002
rs11952583 lBF = `2.33169` Chr`5` : `73,309,105`	0.002	0.998	0.000
rs28305 lBF = `-0.0532483` Chr`5` : `35,044,298`	0.000	0.998	0.002
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.002	0.998	0.000
rs3763048 lBF = `-0.0691566` Chr`5` : `169,461,547`	0.002	0.998	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.001	0.998	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.001	0.998	0.000
rs646506 lBF = `8.10133` Chr`5` : `134,458,908`	0.000	0.998	0.002
rs682748 lBF = `-0.117721` Chr`5` : `17,148,911`	0.002	0.998	0.000
rs151121608 lBF = `0.00140406` Chr`5` : `62,135,994`	0.001	0.998	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.000	0.998	0.001
rs116688600 lBF = `0.0471552` Chr`5` : `26,746,383`	0.002	0.998	0.000
rs10053502 lBF = `0.180691` Chr`5` : `39,979,172`	0.001	0.998	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.002	0.998	0.000
rs78823151 lBF = `0.0304631` Chr`5` : `148,808,002`	0.001	0.998	0.000
rs116348108 lBF = `0.0161325` Chr`5` : `118,435,127`	0.000	0.998	0.001
rs6453218 lBF = `11.8766` Chr`5` : `75,712,103`	0.001	0.998	0.000
rs1027643 lBF = `0.313074` Chr`5` : `91,893,792`	0.001	0.998	0.000
rs2036402 lBF = `-0.0298617` Chr`5` : `156,464,242`	0.000	0.998	0.002
rs4702982 lBF = `-0.0380925` Chr`5` : `99,991,648`	0.000	0.998	0.002
rs1549309 lBF = `-0.00709516` Chr`5` : `167,226,979`	0.000	0.998	0.001
rs7726159 lBF = `37.189` Chr`5` : `1,282,319`	0.000	0.998	0.002
rs2057655 lBF = `0.382789` Chr`5` : `131,807,624`	0.000	0.998	0.001
rs606854 lBF = `0.00043378` Chr`5` : `134,572,229`	0.000	0.998	0.001
rs10078 lBF = `-0.0203252` Chr`5` : `438,102`	0.000	0.998	0.001
rs3749779 lBF = `0.00281781` Chr`5` : `140,682,891`	0.000	0.998	0.001
rs1353747 lBF = `-0.0561023` Chr`5` : `58,337,481`	0.000	0.998	0.001
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.001	0.999	0.000
rs17388425 lBF = `6.30555` Chr`5` : `158,824,174`	0.001	0.999	0.000
rs1366594 lBF = `-0.0593117` Chr`5` : `88,376,061`	0.000	0.999	0.001
rs10067427 lBF = `1.16493` Chr`5` : `99,342,047`	0.001	0.999	0.000
rs12332430 lBF = `0.165453` Chr`5` : `147,550,297`	0.001	0.999	0.000
rs10041935 lBF = `-0.00052582` Chr`5` : `57,214,817`	0.001	0.999	0.000
rs4432842 lBF = `-0.0329429` Chr`5` : `57,172,078`	0.001	0.999	0.000
rs11953630 lBF = `17.8225` Chr`5` : `157,845,402`	0.001	0.999	0.000
rs6892884 lBF = `-0.0582491` Chr`5` : `171,015,623`	0.001	0.999	0.000
rs2289278 lBF = `6.97583` Chr`5` : `110,409,148`	0.000	0.999	0.001
rs17614462 lBF = `-0.0246995` Chr`5` : `16,913,855`	0.001	0.999	0.000
rs142324060 lBF = `0.0191395` Chr`5` : `95,425,757`	0.001	0.999	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.001	0.999	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.001	0.999	0.000
rs251130 lBF = `-0.0875652` Chr`5` : `110,859,797`	0.001	0.999	0.000
rs11959975 lBF = `0.00074545` Chr`5` : `9,902,829`	0.001	0.999	0.000
rs6869841 lBF = `-0.0204342` Chr`5` : `172,939,426`	0.001	0.999	0.000
rs7715779 lBF = `5.36705` Chr`5` : `32,690,199`	0.000	0.999	0.001
rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.001	0.999	0.000
rs9285640 lBF = `0.00076912` Chr`5` : `149,142,067`	0.001	0.999	0.000
rs1864982 lBF = `-0.0266742` Chr`5` : `146,320,823`	0.001	0.999	0.000
rs6892230 lBF = `0.00651094` Chr`5` : `65,139,764`	0.001	0.999	0.000
rs185898158 lBF = `0.00080905` Chr`5` : `60,042,497`	0.001	0.999	0.000
rs11750092 lBF = `-0.0657458` Chr`5` : `159,367,971`	0.001	0.999	0.000
rs11135380 lBF = `0.231793` Chr`5` : `156,182,048`	0.001	0.999	0.000
rs17524553 lBF = `0.171058` Chr`5` : `146,460,691`	0.000	0.999	0.001
rs9325081 lBF = `0.150395` Chr`5` : `147,551,346`	0.001	0.999	0.000
rs3097847 lBF = `-0.0139824` Chr`5` : `170,897,208`	0.001	0.999	0.000
rs12188351 lBF = `0.905107` Chr`5` : `168,386,089`	0.001	0.999	0.000
rs10476890 lBF = `0.148001` Chr`5` : `147,548,263`	0.001	0.999	0.000
rs520865 lBF = `0.128182` Chr`5` : `80,337,457`	0.001	0.999	0.000
rs655601 lBF = `0.00277686` Chr`5` : `180,226,673`	0.000	0.999	0.001
rs12655917 lBF = `1.58029` Chr`5` : `77,291,940`	0.001	0.999	0.000
rs116454070 lBF = `9.0186` Chr`5` : `101,837,362`	0.000	0.999	0.001
rs492478 lBF = `3.43239` Chr`5` : `3,939,476`	0.001	0.999	0.000
rs7718928 lBF = `0.00059472` Chr`5` : `161,836,885`	0.001	0.999	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.000	0.999	0.001
rs331079 lBF = `0.733086` Chr`5` : `127,770,805`	0.001	0.999	0.000
rs186953828 lBF = `-0.082344` Chr`5` : `7,196,440`	0.001	0.999	0.000
rs7729447 lBF = `3.67832` Chr`5` : `32,689,773`	0.000	0.999	0.001
rs7714584 lBF = `0.0239452` Chr`5` : `150,270,420`	0.000	0.999	0.001
rs37370 lBF = `-0.0615859` Chr`5` : `35,039,486`	0.000	0.999	0.001
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.000	0.999	0.001
rs35658696 lBF = `12.0059` Chr`5` : `102,338,811`	0.000	0.999	0.001
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.000	0.999	0.001
rs1546498 lBF = `0.00045432` Chr`5` : `126,032,964`	0.001	0.999	0.000
rs78162670 lBF = `9.08078` Chr`5` : `101,662,386`	0.000	0.999	0.001
rs26232 lBF = `3.50598` Chr`5` : `102,596,720`	0.000	0.999	0.001
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.001	0.999	0.001
rs77460585 lBF = `3.72567` Chr`5` : `101,123,995`	0.000	0.999	0.001
rs2040704 lBF = `8.08487` Chr`5` : `131,973,177`	0.000	0.999	0.001
rs3091307 lBF = `7.57802` Chr`5` : `131,989,136`	0.000	0.999	0.001
rs9637932 lBF = `5.60237` Chr`5` : `178,403,949`	0.001	0.999	0.000
rs113524839 lBF = `-0.0477432` Chr`5` : `84,084,776`	0.001	0.999	0.000
rs40200 lBF = `-0.0629433` Chr`5` : `35,045,745`	0.000	0.999	0.001
rs1045241 lBF = `0.216135` Chr`5` : `118,729,286`	0.001	0.999	0.000
rs59920395 lBF = `0.00344072` Chr`5` : `3,650,343`	0.001	0.999	0.000
rs76933135 lBF = `0.00030942` Chr`5` : `100,456,944`	0.001	0.999	0.000
rs2244012 lBF = `8.5064` Chr`5` : `131,901,225`	0.000	0.999	0.001
rs6596086 lBF = `8.31506` Chr`5` : `131,952,222`	0.000	0.999	0.001
rs469339 lBF = `0.65354` Chr`5` : `94,148,538`	0.001	0.999	0.000
rs1001579 lBF = `0.0977609` Chr`5` : `107,731,958`	0.001	0.999	0.000
rs12518350 lBF = `0.0437879` Chr`5` : `130,096,260`	0.000	0.999	0.001
rs7705819 lBF = `-0.0689094` Chr`5` : `172,873,920`	0.001	0.999	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.001	0.999	0.000
rs1073203 lBF = `-0.0592428` Chr`5` : `125,319,456`	0.001	0.999	0.000
rs9313772 lBF = `18.9638` Chr`5` : `157,804,457`	0.001	0.999	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.001	0.999	0.000
Affx-26917190 lBF = `6.14668` Chr`5` : `71,081,960`	0.000	0.999	0.001
rs1898910 lBF = `-0.0521085` Chr`5` : `124,555,847`	0.001	0.999	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1080

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0671

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9921

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9885

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9883

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9863

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9855

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9821

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9816

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9784

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9782

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9747

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9738

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9674

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9664

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9626

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9606

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9594

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9571

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9534

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9534

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9477

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9476

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9387

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9368

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9364

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9362

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.9296

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9290

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9289

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9164

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9161

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.9159

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9156

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9144

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9067

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9044

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9031

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9009

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8956

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8943

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8941

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8899

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8879

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8860

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8851

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8846

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8804

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8799

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8786

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8768

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8737

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8733

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8730

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8722

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8680

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8626

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8586

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8584

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8548

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8502

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8409

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8331

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8236

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8197

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8110

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8102

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8094

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8041

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7978

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7743

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7633

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7591

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7579

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7492

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7469

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7368

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7334

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7318

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7313

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7149

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7128

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6946

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6924

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6911

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6729

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6717

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6705

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6704

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6698

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6682

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6654

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6617

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6584

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6510

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6407

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6052

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5906

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5886

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5800

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5795

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5732

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5631

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5531

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5456

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5396

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5253

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5231

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4947

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4862

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4755

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4587

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4520

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4219

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4046

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3980

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3966

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3901

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3869

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3794

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3769

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3689

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3671

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3506

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3390

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3120

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3049

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3008

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3004

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2904

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2521

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2434

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2408

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2342

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2120

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2035

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1976

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1828

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1770

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1710

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1432

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1400

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1341

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1310

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1301

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0998

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0988

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0886

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0883

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0781

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0654

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0632

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0630

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0624

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0565

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`)