TreeWAS – [K25.1] Acute with perforation

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
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.716	0.284	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.706	0.294	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.688	0.312	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.681	0.319	0.000
rs40646 lBF = `10.6313` Chr`5` : `4,977,136`	0.675	0.325	0.000
rs72807343 lBF = `1.90438` Chr`5` : `179,238,261`	0.664	0.336	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.654	0.346	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.647	0.353	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.638	0.362	0.000
rs6862844 lBF = `5.17727` Chr`5` : `124,365,967`	0.602	0.398	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.590	0.410	0.000
rs77780208 lBF = `5.21025` Chr`5` : `104,879,134`	0.563	0.437	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.561	0.439	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.558	0.442	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.544	0.456	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.529	0.471	0.000
rs12109285 lBF = `4.39094` Chr`5` : `21,749,348`	0.517	0.482	0.000
rs7733624 lBF = `1.60888` Chr`5` : `104,467,115`	0.503	0.497	0.000
rs189845032 lBF = `4.6421` Chr`5` : `66,373,884`	0.501	0.499	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.486	0.514	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.483	0.517	0.000
rs115467216 lBF = `17.4437` Chr`5` : `121,359,965`	0.472	0.527	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.467	0.533	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.458	0.542	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.439	0.561	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.421	0.579	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.382	0.617	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.371	0.629	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.357	0.643	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.343	0.656	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.325	0.675	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.321	0.679	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.321	0.679	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.319	0.681	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.314	0.686	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.305	0.694	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.297	0.703	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.285	0.715	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.282	0.718	0.000
rs77885874 lBF = `3.45781` Chr`5` : `125,848,356`	0.271	0.729	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.261	0.739	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.255	0.744	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.244	0.756	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.233	0.767	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.232	0.768	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.209	0.791	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.200	0.800	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.184	0.816	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.183	0.817	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.167	0.833	0.000
rs117041666 lBF = `0.22595` Chr`5` : `75,349,502`	0.157	0.843	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.155	0.844	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.145	0.855	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.136	0.864	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.125	0.875	0.000
rs75002042 lBF = `0.149004` Chr`5` : `15,669,967`	0.108	0.892	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.105	0.895	0.000
rs7735563 lBF = `0.124872` Chr`5` : `130,764,936`	0.103	0.897	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.093	0.907	0.000
rs188951355 lBF = `0.267959` Chr`5` : `142,933,351`	0.093	0.907	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.087	0.913	0.000
rs12109307 lBF = `0.328099` Chr`5` : `120,906,482`	0.000	0.926	0.073
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.073	0.927	0.000
rs10440708 lBF = `1.90063` Chr`5` : `172,650,487`	0.069	0.931	0.001
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.065	0.934	0.001
rs193141495 lBF = `1.83175` Chr`5` : `15,802,238`	0.064	0.936	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.060	0.940	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.060	0.940	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.057	0.943	0.001
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.055	0.945	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.055	0.945	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.052	0.948	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.048	0.952	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.044	0.955	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.044	0.956	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.044	0.956	0.000
rs76550486 lBF = `0.0837928` Chr`5` : `45,479,895`	0.043	0.957	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.040	0.960	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.037	0.962	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.034	0.966	0.000
rs7722425 lBF = `0.0856015` Chr`5` : `127,125,762`	0.033	0.967	0.000
rs10463833 lBF = `0.0826456` Chr`5` : `127,122,312`	0.030	0.970	0.000
rs112730887 lBF = `0.0344009` Chr`5` : `62,240,926`	0.030	0.970	0.000
rs72813183 lBF = `0.972903` Chr`5` : `176,734,648`	0.029	0.970	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.029	0.971	0.000
rs4074793 lBF = `0.138161` Chr`5` : `52,193,125`	0.000	0.974	0.026
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.023	0.977	0.000
rs7725038 lBF = `8.19793` Chr`5` : `145,388,180`	0.022	0.977	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.023	0.977	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.022	0.978	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.021	0.978	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`	0.018	0.982	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.017	0.983	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.017	0.983	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.017	0.983	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.016	0.983	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.016	0.984	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.015	0.985	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.013	0.987	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.013	0.987	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.012	0.988	0.000
rs267759 lBF = `0.0864647` Chr`5` : `36,137,620`	0.012	0.988	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.012	0.988	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.011	0.989	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.011	0.989	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.011	0.989	0.000
rs185237819 lBF = `0.0140932` Chr`5` : `78,044,910`	0.011	0.989	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.010	0.990	0.000
rs2973662 lBF = `0.0124314` Chr`5` : `167,210,472`	0.009	0.990	0.000
rs116348108 lBF = `0.0161325` Chr`5` : `118,435,127`	0.009	0.991	0.000
rs10463832 lBF = `0.0226073` Chr`5` : `127,110,486`	0.009	0.991	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.008	0.992	0.000
rs10044242 lBF = `7.21462` Chr`5` : `148,706,299`	0.007	0.992	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.007	0.992	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.007	0.992	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.007	0.993	0.000
rs1515641 lBF = `0.0284563` Chr`5` : `127,139,616`	0.007	0.993	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.007	0.993	0.000
rs185894886 lBF = `0.986587` Chr`5` : `133,129,951`	0.007	0.993	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.006	0.994	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.006	0.994	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.005	0.994	0.000
rs344650 lBF = `0.0649083` Chr`5` : `77,860,608`	0.005	0.994	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.005	0.995	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.005	0.995	0.000
rs12513840 lBF = `0.0322513` Chr`5` : `127,059,942`	0.005	0.995	0.000
rs7715172 lBF = `0.0067921` Chr`5` : `38,452,894`	0.005	0.995	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.005	0.995	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.005	0.995	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.005	0.995	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.005	0.995	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.005	0.995	0.000
rs2963826 lBF = `0.0569461` Chr`5` : `59,096,923`	0.000	0.995	0.005
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.005	0.995	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.005	0.995	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.004	0.995	0.001
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.004	0.995	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.004	0.995	0.000
rs187769864 lBF = `0.00460436` Chr`5` : `151,012,313`	0.004	0.996	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.004	0.996	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.004	0.996	0.000
rs2255280 lBF = `1.07296` Chr`5` : `39,394,989`	0.001	0.996	0.003
rs114461222 lBF = `0.151805` Chr`5` : `112,212,914`	0.004	0.996	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.004	0.996	0.000
rs3850579 lBF = `2.85178` Chr`5` : `141,864,373`	0.003	0.996	0.000
rs78979090 lBF = `0.862664` Chr`5` : `119,679,448`	0.003	0.996	0.000
rs56118546 lBF = `0.0164094` Chr`5` : `164,465,890`	0.003	0.997	0.000
rs61670327 lBF = `-0.0397283` Chr`5` : `3,276,696`	0.003	0.997	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.003	0.997	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.003	0.997	0.000
rs6863015 lBF = `1.02437` Chr`5` : `158,843,235`	0.003	0.997	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.003	0.997	0.000
rs2456203 lBF = `1.36276` Chr`5` : `52,179,790`	0.003	0.997	0.000
rs77655443 lBF = `0.0263194` Chr`5` : `46,117,611`	0.003	0.997	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.003	0.997	0.000
rs12523164 lBF = `0.00909334` Chr`5` : `127,061,971`	0.003	0.997	0.000
rs78975256 lBF = `0.00291702` Chr`5` : `120,216,037`	0.003	0.997	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.003	0.997	0.000
rs66833356 lBF = `6.86881` Chr`5` : `936,466`	0.003	0.997	0.000
rs4835929 lBF = `0.0248846` Chr`5` : `127,054,278`	0.003	0.997	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.002	0.997	0.001
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.003	0.997	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.000	0.997	0.002
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.003	0.997	0.000
rs138833221 lBF = `0.0100462` Chr`5` : `93,696,299`	0.000	0.997	0.002
rs141568462 lBF = `0.00176213` Chr`5` : `88,474,865`	0.002	0.998	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.002	0.998	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.002	0.998	0.000
rs10057405 lBF = `-0.0205564` Chr`5` : `127,653,022`	0.000	0.998	0.002
rs7730050 lBF = `10.742` Chr`5` : `157,746,633`	0.000	0.998	0.002
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.001	0.998	0.001
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.002	0.998	0.000
rs2962508 lBF = `0.00203471` Chr`5` : `145,538,515`	0.002	0.998	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.002	0.998	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.002	0.998	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.002	0.998	0.000
rs3749779 lBF = `0.00281781` Chr`5` : `140,682,891`	0.000	0.998	0.002
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.002	0.998	0.000
rs17155315 lBF = `0.00284331` Chr`5` : `102,759,658`	0.002	0.998	0.000
rs11241713 lBF = `0.0106786` Chr`5` : `123,119,565`	0.000	0.998	0.002
rs191199264 lBF = `0.00127413` Chr`5` : `151,400,700`	0.002	0.998	0.000
rs80228232 lBF = `25.8823` Chr`5` : `131,388,213`	0.002	0.998	0.000
rs151121608 lBF = `0.00140406` Chr`5` : `62,135,994`	0.001	0.998	0.000
rs146002062 lBF = `0.0106673` Chr`5` : `66,286,149`	0.002	0.998	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.002	0.998	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.001	0.998	0.001
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.002	0.998	0.000
rs2447820 lBF = `-0.0525306` Chr`5` : `122,264,736`	0.002	0.998	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.002	0.998	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.002	0.998	0.000
rs1279750 lBF = `0.4058` Chr`5` : `180,595,138`	0.000	0.998	0.002
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.001	0.998	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.001	0.998	0.000
rs918629 lBF = `1.30715` Chr`5` : `95,301,463`	0.000	0.998	0.001
rs1027643 lBF = `0.313074` Chr`5` : `91,893,792`	0.000	0.998	0.001
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.001	0.998	0.000
rs35407 lBF = `7.00446` Chr`5` : `33,946,571`	0.001	0.998	0.000
rs13176547 lBF = `0.16608` Chr`5` : `36,370,296`	0.001	0.998	0.000
rs11749990 lBF = `0.0646329` Chr`5` : `167,487,241`	0.001	0.999	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.001	0.999	0.000
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rs17632159 lBF = `0.382614` Chr`5` : `72,431,482`	0.000	0.999	0.001
rs7733195 lBF = `-0.0427694` Chr`5` : `172,994,624`	0.001	0.999	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.000	0.999	0.001
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.001	0.999	0.000
rs11739663 lBF = `0.742112` Chr`5` : `594,083`	0.001	0.999	0.000
rs13179048 lBF = `0.025173` Chr`5` : `95,542,726`	0.000	0.999	0.001
rs1588265 lBF = `0.0229204` Chr`5` : `59,369,794`	0.001	0.999	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.000	0.999	0.001
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.001	0.999	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.001	0.999	0.000
rs17716202 lBF = `0.0803736` Chr`5` : `55,904,898`	0.000	0.999	0.001
rs2921604 lBF = `-0.0781057` Chr`5` : `14,867,948`	0.001	0.999	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.000	0.999	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.001	0.999	0.000
rs13180087 lBF = `2.35122` Chr`5` : `45,265,768`	0.001	0.999	0.000
rs4866650 lBF = `-0.0146818` Chr`5` : `2,448,590`	0.001	0.999	0.000
rs960709 lBF = `-0.0870232` Chr`5` : `150,461,049`	0.001	0.999	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.001	0.999	0.000
rs116775899 lBF = `12.2053` Chr`5` : `76,143,246`	0.001	0.999	0.000
rs17428704 lBF = `-0.0134889` Chr`5` : `14,434,264`	0.000	0.999	0.001
rs10045413 lBF = `-0.0165153` Chr`5` : `134,901,156`	0.001	0.999	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.001	0.999	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.001	0.999	0.000
rs113902152 lBF = `-0.0445591` Chr`5` : `78,977,241`	0.001	0.999	0.000
rs12657392 lBF = `-0.0457109` Chr`5` : `78,963,323`	0.001	0.999	0.000
rs6894268 lBF = `-0.101065` Chr`5` : `179,032,488`	0.000	0.999	0.001
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.001	0.999	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.000	0.999	0.000
rs12652364 lBF = `0.546793` Chr`5` : `30,836,079`	0.000	0.999	0.001
rs13178541 lBF = `0.0491337` Chr`5` : `135,164,618`	0.000	0.999	0.001
rs72768826 lBF = `-0.0437531` Chr`5` : `78,956,072`	0.001	0.999	0.000
rs61212610 lBF = `-0.0443727` Chr`5` : `78,961,892`	0.001	0.999	0.000
rs72768824 lBF = `-0.0445466` Chr`5` : `78,954,839`	0.001	0.999	0.000
rs6889239 lBF = `-0.0848847` Chr`5` : `150,457,771`	0.001	0.999	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.000	0.999	0.000
rs890749 lBF = `0.290449` Chr`5` : `121,436,596`	0.000	0.999	0.001
rs6453204 lBF = `-0.0171687` Chr`5` : `75,439,200`	0.001	0.999	0.000
rs161857 lBF = `-0.0171801` Chr`5` : `118,856,271`	0.001	0.999	0.000
rs4432842 lBF = `-0.0329429` Chr`5` : `57,172,078`	0.000	0.999	0.001
rs6873793 lBF = `-0.0641432` Chr`5` : `3,092,192`	0.000	0.999	0.001
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.000	0.999	0.000
rs12188300 lBF = `9.20683` Chr`5` : `158,829,527`	0.000	0.999	0.000
rs115154880 lBF = `8.20092` Chr`5` : `43,883,949`	0.001	0.999	0.000
rs78277363 lBF = `0.668437` Chr`5` : `7,627,242`	0.000	0.999	0.000
rs72768842 lBF = `-0.0446963` Chr`5` : `78,974,466`	0.001	0.999	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.000	0.999	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.000	0.999	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.000	0.999	0.000
rs2561477 lBF = `3.11579` Chr`5` : `102,608,924`	0.000	0.999	0.000
rs78606339 lBF = `1.33923` Chr`5` : `165,428,979`	0.000	0.999	0.000
rs16880442 lBF = `-0.0311526` Chr`5` : `52,185,695`	0.000	0.999	0.000
rs72768835 lBF = `-0.0432572` Chr`5` : `78,968,607`	0.000	0.999	0.000
rs56064438 lBF = `-0.0437001` Chr`5` : `78,974,908`	0.000	0.999	0.000
rs72768817 lBF = `-0.0506518` Chr`5` : `78,944,371`	0.000	0.999	0.000
rs55687040 lBF = `-0.0515384` Chr`5` : `78,946,215`	0.000	0.999	0.000
rs4975616 lBF = `52.5674` Chr`5` : `1,315,660`	0.000	0.999	0.000
rs60449834 lBF = `-0.0495037` Chr`5` : `78,957,986`	0.000	0.999	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.000	0.999	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.000	0.999	0.000
rs7714832 lBF = `8.63638` Chr`5` : `149,675,169`	0.000	0.999	0.000
rs9325081 lBF = `0.150395` Chr`5` : `147,551,346`	0.000	0.999	0.000
rs10476890 lBF = `0.148001` Chr`5` : `147,548,263`	0.000	0.999	0.000
rs75094680 lBF = `-0.00521636` Chr`5` : `30,558,137`	0.000	0.999	0.000
rs72768807 lBF = `-0.0499513` Chr`5` : `78,933,644`	0.000	0.999	0.000
rs35391 lBF = `10.1345` Chr`5` : `33,955,673`	0.000	0.999	0.000
rs77719114 lBF = `7.9032` Chr`5` : `131,647,677`	0.000	0.999	0.000
rs4701523 lBF = `1.95629` Chr`5` : `26,139,138`	0.000	0.999	0.000
rs12519773 lBF = `0.15616` Chr`5` : `92,464,416`	0.000	0.999	0.000
rs11738945 lBF = `0.127357` Chr`5` : `95,262,513`	0.000	0.999	0.000
rs2055376 lBF = `-0.00428953` Chr`5` : `116,181,428`	0.000	0.999	0.000
rs74378198 lBF = `-0.0180364` Chr`5` : `38,870,908`	0.000	0.999	0.000
rs6556756 lBF = `-0.0524901` Chr`5` : `163,889,280`	0.000	0.999	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.000	0.999	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.000	0.999	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.000	0.999	0.000
rs12186641 lBF = `0.193322` Chr`5` : `51,164,115`	0.000	0.999	0.000
rs10063570 lBF = `0.0722039` Chr`5` : `177,963,857`	0.000	0.999	0.000
rs148992089 lBF = `0.00070684` Chr`5` : `158,379,842`	0.000	0.999	0.000
rs186127414 lBF = `-0.00147716` Chr`5` : `151,181,386`	0.000	0.999	0.000
rs17247181 lBF = `-0.0292426` Chr`5` : `65,255,672`	0.000	0.999	0.000
rs170741 lBF = `-0.0834229` Chr`5` : `56,952,654`	0.000	0.999	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.000	0.999	0.000
rs35390 lBF = `9.53908` Chr`5` : `33,955,326`	0.000	0.999	0.000
rs12332430 lBF = `0.165453` Chr`5` : `147,550,297`	0.000	0.999	0.000
rs11241130 lBF = `0.106151` Chr`5` : `110,958,782`	0.000	0.999	0.000
rs7702057 lBF = `0.0295166` Chr`5` : `115,727,838`	0.000	0.999	0.000
rs2472647 lBF = `-0.0144083` Chr`5` : `140,710,705`	0.000	0.999	0.000
rs17614462 lBF = `-0.0246995` Chr`5` : `16,913,855`	0.000	0.999	0.000
rs32579 lBF = `-0.0284086` Chr`5` : `149,210,848`	0.000	0.999	0.000
rs56163845 lBF = `-0.0439599` Chr`5` : `173,373,948`	0.000	0.999	0.000
rs3776331 lBF = `-0.0512124` Chr`5` : `142,441,794`	0.000	0.999	0.000
rs11750092 lBF = `-0.0657458` Chr`5` : `159,367,971`	0.000	0.999	0.000
rs11742761 lBF = `0.112075` Chr`5` : `44,301,167`	0.000	0.999	0.000
rs11955175 lBF = `0.0507722` Chr`5` : `40,626,753`	0.000	0.999	0.000
rs7717393 lBF = `0.0419203` Chr`5` : `155,753,914`	0.000	0.999	0.000
rs6453429 lBF = `0.0221717` Chr`5` : `78,371,861`	0.000	0.999	0.000
rs186292051 lBF = `0.010775` Chr`5` : `88,325,830`	0.000	0.999	0.000
rs2233287 lBF = `-0.0128749` Chr`5` : `150,440,097`	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 X0318

log Bayes Factor = 44.5459

contains 2 variants

0.4475

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.4413

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7168

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7168

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7165

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7153

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7135

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7133

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7133

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7124

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7109

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7101

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7090

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7086

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7011

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6995

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6938

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6861

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6719

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6581

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6500

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6401

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6344

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6333

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6273

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6094

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6063

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6024

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5946

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5935

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5715

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5516

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4909

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4812

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4803

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4694

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4504

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4503

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4502

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4394

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4284

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3860

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3801

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3591

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3407

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3344

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3329

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2781

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2741

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2723

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2381

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2353

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2328

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2042

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2029

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1904

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1686

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1347

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1319

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0963

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0717

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0687

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0627

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0606

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0542

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`)