TreeWAS – [K31.4] Gastric diverticulum

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
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.819	0.181	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.811	0.189	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.745	0.255	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.718	0.282	0.000
rs115467216 lBF = `17.4437` Chr`5` : `121,359,965`	0.702	0.298	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.696	0.304	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.668	0.332	0.000
rs6862844 lBF = `5.17727` Chr`5` : `124,365,967`	0.638	0.362	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.621	0.379	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.616	0.384	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.596	0.404	0.000
rs77780208 lBF = `5.21025` Chr`5` : `104,879,134`	0.571	0.429	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.551	0.449	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.515	0.485	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.513	0.487	0.000
rs12109285 lBF = `4.39094` Chr`5` : `21,749,348`	0.503	0.497	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.475	0.525	0.000
rs189845032 lBF = `4.6421` Chr`5` : `66,373,884`	0.459	0.541	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.453	0.547	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.443	0.557	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.421	0.579	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.420	0.579	0.000
rs7733624 lBF = `1.60888` Chr`5` : `104,467,115`	0.420	0.580	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.420	0.580	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.417	0.583	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.411	0.588	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.400	0.600	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.394	0.606	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.390	0.610	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.389	0.611	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.368	0.632	0.000
rs72807343 lBF = `1.90438` Chr`5` : `179,238,261`	0.350	0.650	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.337	0.663	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.291	0.709	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.291	0.709	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.290	0.710	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.286	0.714	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.272	0.728	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.270	0.730	0.001
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.259	0.741	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.241	0.759	0.000
rs77885874 lBF = `3.45781` Chr`5` : `125,848,356`	0.207	0.793	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.206	0.794	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.183	0.817	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.181	0.818	0.001
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.171	0.829	0.000
rs12109307 lBF = `0.328099` Chr`5` : `120,906,482`	0.000	0.843	0.157
rs117041666 lBF = `0.22595` Chr`5` : `75,349,502`	0.157	0.843	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.148	0.852	0.000
rs40646 lBF = `10.6313` Chr`5` : `4,977,136`	0.139	0.861	0.000
rs7735563 lBF = `0.124872` Chr`5` : `130,764,936`	0.139	0.861	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.138	0.862	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.134	0.866	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.131	0.869	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.130	0.870	0.000
rs75002042 lBF = `0.149004` Chr`5` : `15,669,967`	0.113	0.887	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.113	0.887	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.107	0.892	0.001
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.105	0.895	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.104	0.896	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.101	0.898	0.000
rs10440708 lBF = `1.90063` Chr`5` : `172,650,487`	0.095	0.905	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.093	0.907	0.001
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.075	0.925	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.075	0.925	0.000
rs193141495 lBF = `1.83175` Chr`5` : `15,802,238`	0.067	0.933	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.063	0.937	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.061	0.939	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.061	0.939	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.058	0.942	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.058	0.942	0.000
rs188951355 lBF = `0.267959` Chr`5` : `142,933,351`	0.056	0.944	0.000
rs76550486 lBF = `0.0837928` Chr`5` : `45,479,895`	0.051	0.948	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.045	0.955	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.044	0.956	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.043	0.957	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.041	0.959	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.041	0.959	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.041	0.959	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.038	0.962	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.037	0.963	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.033	0.966	0.000
rs72813183 lBF = `0.972903` Chr`5` : `176,734,648`	0.031	0.969	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.031	0.969	0.000
rs112730887 lBF = `0.0344009` Chr`5` : `62,240,926`	0.030	0.970	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.028	0.972	0.000
rs7722425 lBF = `0.0856015` Chr`5` : `127,125,762`	0.024	0.976	0.000
rs10463833 lBF = `0.0826456` Chr`5` : `127,122,312`	0.022	0.978	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.021	0.979	0.000
rs74935252 lBF = `0.0234557` Chr`5` : `79,029,311`	0.021	0.979	0.000
rs745978 lBF = `1.85683` Chr`5` : `15,285,414`	0.017	0.983	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.015	0.984	0.000
rs7725038 lBF = `8.19793` Chr`5` : `145,388,180`	0.013	0.986	0.001
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.014	0.986	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.013	0.987	0.000
rs267759 lBF = `0.0864647` Chr`5` : `36,137,620`	0.011	0.989	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.011	0.989	0.000
rs185237819 lBF = `0.0140932` Chr`5` : `78,044,910`	0.011	0.989	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.011	0.989	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.010	0.990	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.010	0.990	0.000
rs2973662 lBF = `0.0124314` Chr`5` : `167,210,472`	0.009	0.990	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.009	0.991	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.009	0.991	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.008	0.992	0.000
rs10463832 lBF = `0.0226073` Chr`5` : `127,110,486`	0.008	0.992	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.008	0.992	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.007	0.993	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.007	0.993	0.000
rs10044242 lBF = `7.21462` Chr`5` : `148,706,299`	0.007	0.993	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.007	0.993	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.007	0.993	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.007	0.993	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.006	0.993	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.007	0.993	0.000
rs344650 lBF = `0.0649083` Chr`5` : `77,860,608`	0.006	0.994	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.006	0.994	0.000
rs12513840 lBF = `0.0322513` Chr`5` : `127,059,942`	0.006	0.994	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.006	0.994	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.006	0.994	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.006	0.994	0.000
rs1515641 lBF = `0.0284563` Chr`5` : `127,139,616`	0.006	0.994	0.000
rs7715172 lBF = `0.0067921` Chr`5` : `38,452,894`	0.005	0.995	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.005	0.995	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.005	0.995	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.005	0.995	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.004	0.995	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.004	0.995	0.001
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.004	0.996	0.000
rs10067427 lBF = `1.16493` Chr`5` : `99,342,047`	0.004	0.996	0.000
rs187769864 lBF = `0.00460436` Chr`5` : `151,012,313`	0.004	0.996	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.004	0.996	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.004	0.996	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.004	0.996	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.004	0.996	0.000
rs2255280 lBF = `1.07296` Chr`5` : `39,394,989`	0.001	0.996	0.003
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.004	0.996	0.000
rs2973155 lBF = `-0.0642696` Chr`5` : `152,608,619`	0.000	0.996	0.004
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.003	0.996	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.003	0.996	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.003	0.996	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.003	0.997	0.000
rs12523164 lBF = `0.00909334` Chr`5` : `127,061,971`	0.003	0.997	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.003	0.997	0.001
rs2914276 lBF = `0.0133156` Chr`5` : `23,542,711`	0.003	0.997	0.000
rs78975256 lBF = `0.00291702` Chr`5` : `120,216,037`	0.003	0.997	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.003	0.997	0.000
rs4835929 lBF = `0.0248846` Chr`5` : `127,054,278`	0.003	0.997	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.002	0.997	0.000
rs17658229 lBF = `1.04603` Chr`5` : `172,191,052`	0.003	0.997	0.000
rs261967 lBF = `0.058149` Chr`5` : `95,850,250`	0.003	0.997	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.003	0.997	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.002	0.997	0.000
rs7720886 lBF = `0.0329535` Chr`5` : `111,071,625`	0.002	0.997	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.002	0.997	0.000
rs6889665 lBF = `0.0108151` Chr`5` : `23,532,643`	0.002	0.997	0.000
rs78979090 lBF = `0.862664` Chr`5` : `119,679,448`	0.002	0.998	0.000
rs141568462 lBF = `0.00176213` Chr`5` : `88,474,865`	0.002	0.998	0.000
rs1421746 lBF = `-0.0342007` Chr`5` : `127,151,976`	0.000	0.998	0.002
rs185894886 lBF = `0.986587` Chr`5` : `133,129,951`	0.002	0.998	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.002	0.998	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.000	0.998	0.002
rs10039217 lBF = `0.0122467` Chr`5` : `175,178,875`	0.002	0.998	0.000
rs35407 lBF = `7.00446` Chr`5` : `33,946,571`	0.002	0.998	0.000
rs114461222 lBF = `0.151805` Chr`5` : `112,212,914`	0.002	0.998	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.002	0.998	0.000
rs11135380 lBF = `0.231793` Chr`5` : `156,182,048`	0.002	0.998	0.000
rs2962508 lBF = `0.00203471` Chr`5` : `145,538,515`	0.002	0.998	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.001	0.998	0.001
rs3749779 lBF = `0.00281781` Chr`5` : `140,682,891`	0.000	0.998	0.002
rs11743851 lBF = `1.96034` Chr`5` : `130,613,600`	0.000	0.998	0.002
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.002	0.998	0.000
rs66833356 lBF = `6.86881` Chr`5` : `936,466`	0.002	0.998	0.000
rs61142792 lBF = `-0.022334` Chr`5` : `176,983,463`	0.000	0.998	0.002
rs17155315 lBF = `0.00284331` Chr`5` : `102,759,658`	0.002	0.998	0.000
rs191199264 lBF = `0.00127413` Chr`5` : `151,400,700`	0.002	0.998	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.002	0.998	0.000
rs151121608 lBF = `0.00140406` Chr`5` : `62,135,994`	0.001	0.998	0.000
rs34145453 lBF = `14.1199` Chr`5` : `127,347,013`	0.000	0.998	0.002
rs1003136 lBF = `14.948` Chr`5` : `127,347,815`	0.000	0.998	0.002
rs16886113 lBF = `13.5424` Chr`5` : `55,995,035`	0.000	0.998	0.002
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.002	0.998	0.000
rs80228232 lBF = `25.8823` Chr`5` : `131,388,213`	0.001	0.998	0.000
rs138833221 lBF = `0.0100462` Chr`5` : `93,696,299`	0.000	0.998	0.002
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.000	0.998	0.001
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.002	0.998	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.001	0.998	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.001	0.998	0.000
rs9885413 lBF = `0.00599782` Chr`5` : `110,176,128`	0.001	0.998	0.001
rs9765602 lBF = `0.00352735` Chr`5` : `35,426,631`	0.000	0.998	0.002
rs79643899 lBF = `0.0034936` Chr`5` : `35,429,449`	0.000	0.998	0.002
rs457717 lBF = `-0.0747163` Chr`5` : `75,920,972`	0.002	0.998	0.000
rs10070219 lBF = `0.959929` Chr`5` : `116,703,030`	0.000	0.998	0.001
rs13176547 lBF = `0.16608` Chr`5` : `36,370,296`	0.001	0.998	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.001	0.998	0.000
rs7379133 lBF = `0.534615` Chr`5` : `2,149,210`	0.001	0.998	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.001	0.999	0.000
rs4246774 lBF = `0.103007` Chr`5` : `67,492,112`	0.001	0.999	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.001	0.999	0.000
rs7726354 lBF = `16.6785` Chr`5` : `56,256,483`	0.000	0.999	0.001
rs17622656 lBF = `11.6928` Chr`5` : `131,820,997`	0.000	0.999	0.001
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rs10038470 lBF = `-0.0224524` Chr`5` : `38,767,812`	0.000	0.999	0.001
rs27323 lBF = `-0.023013` Chr`5` : `52,552,239`	0.000	0.999	0.001
rs2161300 lBF = `-0.0791079` Chr`5` : `167,661,162`	0.000	0.999	0.001
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.001	0.999	0.000
rs4705962 lBF = `0.42757` Chr`5` : `132,028,858`	0.000	0.999	0.001
rs10037670 lBF = `-0.0338555` Chr`5` : `153,811,490`	0.000	0.999	0.001
rs11960179 lBF = `-0.0573151` Chr`5` : `67,820,217`	0.001	0.999	0.000
rs1017226 lBF = `12.4091` Chr`5` : `56,153,392`	0.000	0.999	0.001
rs72703193 lBF = `5.14866` Chr`5` : `914,309`	0.001	0.999	0.000
rs79464052 lBF = `2.59355` Chr`5` : `141,035,174`	0.001	0.999	0.000
rs12520745 lBF = `-0.037849` Chr`5` : `124,588,390`	0.001	0.999	0.000
rs12653117 lBF = `-0.0547025` Chr`5` : `9,386,585`	0.000	0.999	0.001
rs10045504 lBF = `-0.109782` Chr`5` : `38,762,288`	0.001	0.999	0.000
rs16886448 lBF = `12.3207` Chr`5` : `56,170,813`	0.000	0.999	0.001
rs2548145 lBF = `0.33094` Chr`5` : `40,134,777`	0.001	0.999	0.000
rs186147679 lBF = `0.00723702` Chr`5` : `93,709,122`	0.000	0.999	0.001
rs1073203 lBF = `-0.0592428` Chr`5` : `125,319,456`	0.000	0.999	0.001
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.001	0.999	0.000
rs17152484 lBF = `-0.0344682` Chr`5` : `124,588,158`	0.001	0.999	0.000
rs282544 lBF = `-0.0910324` Chr`5` : `50,026,465`	0.001	0.999	0.000
rs116775899 lBF = `12.2053` Chr`5` : `76,143,246`	0.001	0.999	0.000
rs16886397 lBF = `12.2035` Chr`5` : `56,134,276`	0.000	0.999	0.001
rs12659622 lBF = `0.298408` Chr`5` : `15,618,181`	0.000	0.999	0.001
rs12652255 lBF = `-0.0423304` Chr`5` : `174,761,095`	0.001	0.999	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.001	0.999	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.000	0.999	0.000
rs17690965 lBF = `0.289719` Chr`5` : `132,030,667`	0.000	0.999	0.001
rs7711186 lBF = `0.171985` Chr`5` : `178,086,924`	0.001	0.999	0.000
rs11958034 lBF = `0.0458241` Chr`5` : `18,909,675`	0.000	0.999	0.001
rs7702905 lBF = `-0.00973911` Chr`5` : `2,788,906`	0.001	0.999	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.001	0.999	0.000
rs35391 lBF = `10.1345` Chr`5` : `33,955,673`	0.001	0.999	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.001	0.999	0.000
rs1366200 lBF = `-0.0792559` Chr`5` : `115,321,819`	0.001	0.999	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.001	0.999	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.000	0.999	0.001
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.001	0.999	0.000
rs702634 lBF = `-0.0735064` Chr`5` : `53,271,420`	0.001	0.999	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.001	0.999	0.000
rs3822625 lBF = `12.3692` Chr`5` : `56,178,111`	0.000	0.999	0.001
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.000	0.999	0.000
rs7733088 lBF = `0.124362` Chr`5` : `147,856,333`	0.001	0.999	0.000
rs17717876 lBF = `-0.0110706` Chr`5` : `158,473,367`	0.000	0.999	0.000
rs163818 lBF = `-0.0475409` Chr`5` : `14,072,057`	0.001	0.999	0.000
rs11738335 lBF = `-0.0838285` Chr`5` : `60,950,211`	0.001	0.999	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.000	0.999	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.000	0.999	0.000
rs12188351 lBF = `0.905107` Chr`5` : `168,386,089`	0.001	0.999	0.000
rs564885564 lBF = `0.0364071` Chr`5` : `25,438,388`	0.000	0.999	0.000
rs10058728 lBF = `-0.0587504` Chr`5` : `148,904,092`	0.001	0.999	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.000	0.999	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.000	0.999	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.000	0.999	0.000
rs35390 lBF = `9.53908` Chr`5` : `33,955,326`	0.001	0.999	0.000
rs17560407 lBF = `-0.0237421` Chr`5` : `88,183,651`	0.001	0.999	0.000
rs1010254 lBF = `-0.0631724` Chr`5` : `151,734,109`	0.001	0.999	0.000
rs16886364 lBF = `12.9739` Chr`5` : `56,122,344`	0.000	0.999	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.000	0.999	0.000
rs2070729 lBF = `7.39103` Chr`5` : `131,819,921`	0.001	0.999	0.000
rs73058713 lBF = `1.23719` Chr`5` : `20,374,213`	0.001	0.999	0.000
rs11739663 lBF = `0.742112` Chr`5` : `594,083`	0.000	0.999	0.000
rs12652364 lBF = `0.546793` Chr`5` : `30,836,079`	0.000	0.999	0.001
rs28669119 lBF = `0.0730755` Chr`5` : `88,204,853`	0.000	0.999	0.001
rs7732104 lBF = `-0.0184342` Chr`5` : `40,983,436`	0.001	0.999	0.000
rs10866682 lBF = `-0.0238871` Chr`5` : `174,036,233`	0.000	0.999	0.001
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.000	0.999	0.000
rs13170232 lBF = `0.162674` Chr`5` : `152,899,532`	0.001	0.999	0.000
rs59920395 lBF = `0.00344072` Chr`5` : `3,650,343`	0.000	0.999	0.000
rs77719114 lBF = `7.9032` Chr`5` : `131,647,677`	0.000	0.999	0.000
rs77460585 lBF = `3.72567` Chr`5` : `101,123,995`	0.000	0.999	0.000
rs6881280 lBF = `0.394381` Chr`5` : `122,615,524`	0.001	0.999	0.000
rs2897442 lBF = `0.347108` Chr`5` : `132,049,027`	0.000	0.999	0.001
rs62362510 lBF = `-0.0201564` Chr`5` : `76,712,907`	0.000	0.999	0.001
rs461409 lBF = `-0.105678` Chr`5` : `97,929,966`	0.001	0.999	0.000
rs7714832 lBF = `8.63638` Chr`5` : `149,675,169`	0.000	0.999	0.001
rs11746443 lBF = `7.30445` Chr`5` : `176,798,306`	0.001	0.999	0.000
rs4074995 lBF = `7.11226` Chr`5` : `176,797,343`	0.001	0.999	0.000
rs264746 lBF = `6.88461` Chr`5` : `64,370,718`	0.000	0.999	0.001
rs56183335 lBF = `6.66881` Chr`5` : `141,474,886`	0.000	0.999	0.000
rs2073643 lBF = `2.28902` Chr`5` : `131,723,288`	0.000	0.999	0.001
rs270601 lBF = `0.192327` Chr`5` : `131,656,997`	0.000	0.999	0.001
rs10491431 lBF = `0.085015` Chr`5` : `35,968,000`	0.001	0.999	0.000
rs146579248 lBF = `0.0597844` Chr`5` : `127,382,302`	0.000	0.999	0.000
rs180834883 lBF = `0.00356903` Chr`5` : `43,465,143`	0.000	0.999	0.000
rs78646877 lBF = `0.00329779` Chr`5` : `43,569,902`	0.000	0.999	0.000
rs141238427 lBF = `0.00329779` Chr`5` : `43,567,592`	0.000	0.999	0.000
rs115426610 lBF = `0.00329779` Chr`5` : `43,568,117`	0.000	0.999	0.000
rs61078164 lBF = `-0.00223364` Chr`5` : `179,056,111`	0.001	0.999	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.000	0.999	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.000	0.999	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.000	0.999	0.000
rs6650951 lBF = `7.35154` Chr`5` : `64,408,770`	0.000	0.999	0.001
rs28777 lBF = `6.09684` Chr`5` : `33,958,959`	0.000	0.999	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.000	0.999	0.000
rs116394723 lBF = `5.07504` Chr`5` : `39,341,009`	0.000	0.999	0.000
rs7729447 lBF = `3.67832` Chr`5` : `32,689,773`	0.000	0.999	0.001
rs78606339 lBF = `1.33923` Chr`5` : `165,428,979`	0.000	0.999	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.7307

Cluster X0116

log Bayes Factor = 12.7289

contains 3 variants

0.2754

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.0658

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9681

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9588

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9473

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9083

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9030

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8855

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8782

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8770

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8518

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8353

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8209

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8153

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8103

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7878

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7867

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7859

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7756

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7735

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7387

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7287

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7254

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7075

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7069

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6967

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6850

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6778

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6739

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6653

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6509

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5754

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5731

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5393

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5222

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4730

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4128

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3893

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3845

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3721

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3215

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3204

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3108

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3099

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3017

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3015

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2963

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2737

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2274

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2060

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2047

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1885

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1806

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1511

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1425

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1211

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1075

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1040

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1009

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0966

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0962

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0740

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0733

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0542

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.0514

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`)