TreeWAS – [K25.6] Chronic or unspecified with both haemorrhage and 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
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.712	0.288	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.702	0.297	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.698	0.302	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.698	0.302	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.684	0.315	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.681	0.319	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.620	0.379	0.000
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.607	0.393	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.603	0.397	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.592	0.408	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.583	0.416	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.572	0.428	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.571	0.429	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	0.449	0.551
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.548	0.451	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.542	0.458	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.534	0.466	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.525	0.474	0.000
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.525	0.475	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.514	0.486	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.507	0.492	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.499	0.501
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.500	0.499	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.496	0.503	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.000	0.514	0.485
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.478	0.521	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.000	0.526	0.474
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.471	0.528	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.462	0.537	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.000	0.540	0.460
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.450	0.550	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.448	0.551	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.436	0.564	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.420	0.580	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.411	0.589	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.410	0.589	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.404	0.596	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.394	0.606	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.389	0.611	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.379	0.621	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.310	0.690	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.308	0.692	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.293	0.706	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.280	0.719	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.244	0.756	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.241	0.759	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.240	0.760	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.233	0.767	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.219	0.780	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.203	0.797	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.198	0.802	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.187	0.813	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.185	0.815	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.181	0.819	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.181	0.819	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.167	0.833	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.159	0.840	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.157	0.843	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.147	0.853	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.132	0.868	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.122	0.878	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.114	0.886	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.109	0.891	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.103	0.897	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.097	0.903	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.088	0.911	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.081	0.919	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.079	0.920	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.078	0.922	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.068	0.932	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.065	0.935	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.061	0.938	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.058	0.941	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.056	0.944	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.951	0.049
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.048	0.951	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.043	0.957	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.037	0.962	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.036	0.964	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.033	0.967	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.032	0.968	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.031	0.969	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.030	0.969	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.026	0.973	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.022	0.978	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.021	0.979	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.018	0.982	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.017	0.982	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.017	0.983	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.013	0.986	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.013	0.987	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.012	0.987	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.988	0.012
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.012	0.988	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.012	0.988	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.011	0.989	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.011	0.989	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.989	0.011
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.010	0.990	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.010	0.990	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.010	0.990	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	0.992	0.008
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.007	0.993	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.007	0.993	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.006	0.993	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.006	0.994	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.006	0.994	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.006	0.994	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.005	0.994	0.000
rs1456315 lBF = `-0.0458556` Chr`8` : `128,103,937`	0.006	0.994	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.005	0.994	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.005	0.995	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.005	0.995	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.005	0.995	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.004	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.004	0.995	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.004	0.996	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.004	0.996	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.003	0.996	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.003	0.997	0.000
rs17428041 lBF = `-0.0669529` Chr`8` : `21,711,431`	0.000	0.997	0.003
rs2616984 lBF = `0.220998` Chr`8` : `4,483,141`	0.003	0.997	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.002	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.997	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.002	0.997	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.002	0.997	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.002	0.997	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.002	0.998	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.002	0.998	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.002	0.998	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.002	0.998	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.002	0.998	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.002	0.998	0.000
rs4871137 lBF = `-0.0990842` Chr`8` : `121,868,551`	0.000	0.998	0.002
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.002	0.998	0.000
rs4735738 lBF = `0.0576628` Chr`8` : `77,611,625`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.998	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.002	0.998	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.001	0.998	0.000
rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	0.000	0.998	0.002
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	0.998	0.002
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.001	0.998	0.000
rs13273088 lBF = `-0.0230254` Chr`8` : `70,493,974`	0.001	0.998	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.001	0.998	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.001	0.998	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.001	0.998	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.001
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.001	0.999	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.001	0.999	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.001	0.999	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.001	0.999	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.999	0.001
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.001	0.999	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.001	0.999	0.000
rs11787341 lBF = `0.0273871` Chr`8` : `19,102,564`	0.001	0.999	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.000	0.999	0.001
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.001	0.999	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.001	0.999	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.001	0.999	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	0.999	0.001
rs11135910 lBF = `0.678122` Chr`8` : `25,892,142`	0.000	0.999	0.001
rs218361 lBF = `-0.0958539` Chr`8` : `116,110,725`	0.000	0.999	0.001
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.999	0.000
rs959695 lBF = `-0.0580729` Chr`8` : `100,835,182`	0.001	0.999	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs151198427 lBF = `-0.00005693` Chr`8` : `68,351,787`	0.001	0.999	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	0.999	0.001
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.001	0.999	0.000
rs190951784 lBF = `0.00003382` Chr`8` : `25,131,523`	0.001	0.999	0.000
rs73318770 lBF = `0.00000446` Chr`8` : `74,362,915`	0.001	0.999	0.000
rs111754512 lBF = `0` Chr`8` : `24,400,648`	0.001	0.999	0.001
rs7460090 lBF = `0` Chr`8` : `57,194,163`	0.001	0.999	0.001
rs113660214 lBF = `0` Chr`8` : `977,436`	0.001	0.999	0.001
rs201734206 lBF = `0` Chr`8` : `73,984,100`	0.001	0.999	0.001
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rs7004633 lBF = `0.137936` Chr`8` : `89,760,311`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs881301 lBF = `-0.0216293` Chr`8` : `38,332,318`	0.000	1.000	0.000
rs1015213 lBF = `-0.0220378` Chr`8` : `52,887,541`	0.000	1.000	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.000	1.000	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	1.000	0.000
rs74834049 lBF = `-0.041421` Chr`8` : `13,029,877`	0.000	1.000	0.000
rs13257518 lBF = `-0.0487025` Chr`8` : `32,635,574`	0.000	1.000	0.000
rs3108919 lBF = `-0.0535203` Chr`8` : `101,841,546`	0.000	1.000	0.000
rs10090896 lBF = `-0.0659405` Chr`8` : `70,680,983`	0.000	1.000	0.000
rs9969524 lBF = `-0.0972992` Chr`8` : `88,746,846`	0.000	1.000	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	1.000	0.000
rs325 lBF = `5.51521` Chr`8` : `19,819,328`	0.000	1.000	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	1.000	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	1.000	0.000
rs36116061 lBF = `0.0224256` Chr`8` : `89,373,327`	0.000	1.000	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs11987678 lBF = `-0.0283536` Chr`8` : `81,228,826`	0.000	1.000	0.000
rs75200691 lBF = `-0.0532288` Chr`8` : `13,054,869`	0.000	1.000	0.000
rs13279799 lBF = `-0.0725572` Chr`8` : `117,541,607`	0.000	1.000	0.000
rs7000447 lBF = `-0.0862948` Chr`8` : `131,523,283`	0.000	1.000	0.000
rs42490 lBF = `-0.106832` Chr`8` : `90,778,513`	0.000	1.000	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.000	1.000	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.000	1.000	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.000	1.000	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.000	1.000	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.000	1.000	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.000	1.000	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.000	1.000	0.000
rs1059611 lBF = `3.30576` Chr`8` : `19,824,563`	0.000	1.000	0.000
rs17482753 lBF = `3.23105` Chr`8` : `19,832,646`	0.000	1.000	0.000
rs10105606 lBF = `2.71178` Chr`8` : `19,827,848`	0.000	1.000	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.000	1.000	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs2019960 lBF = `0.040114` Chr`8` : `129,192,271`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs1351356 lBF = `-0.0226904` Chr`8` : `118,600,122`	0.000	1.000	0.000
rs35820208 lBF = `-0.0322041` Chr`8` : `94,916,103`	0.000	1.000	0.000
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.000	1.000	0.000
rs40457 lBF = `-0.0964489` Chr`8` : `90,823,687`	0.000	1.000	0.000
rs9642880 lBF = `15.7288` Chr`8` : `128,718,068`	0.000	1.000	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.000	1.000	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.000	1.000	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	1.000	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.000	1.000	0.000
rs6993770 lBF = `2.81927` Chr`8` : `106,581,528`	0.000	1.000	0.000
rs79236614 lBF = `2.78621` Chr`8` : `19,860,460`	0.000	1.000	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.000	1.000	0.000
rs16902094 lBF = `2.51795` Chr`8` : `128,320,346`	0.000	1.000	0.000
rs4506170 lBF = `1.56706` Chr`8` : `128,323,891`	0.000	1.000	0.000
rs2169387 lBF = `1.29327` Chr`8` : `9,181,395`	0.000	1.000	0.000
rs6988636 lBF = `0.592889` Chr`8` : `124,185,970`	0.000	1.000	0.000
rs569214 lBF = `0.304049` Chr`8` : `27,487,790`	0.000	1.000	0.000
rs16872085 lBF = `0.197457` Chr`8` : `105,957,540`	0.000	1.000	0.000
rs11136645 lBF = `0.193906` Chr`8` : `3,498,171`	0.000	1.000	0.000
rs2945733 lBF = `0.110693` Chr`8` : `134,615,750`	0.000	1.000	0.000
rs7829759 lBF = `0.0147051` Chr`8` : `3,147,359`	0.000	1.000	0.000
rs3764796 lBF = `0.00828194` Chr`8` : `17,157,677`	0.000	1.000	0.000
rs2243407 lBF = `0.00350594` Chr`8` : `11,480,457`	0.000	1.000	0.000
rs1106634 lBF = `-0.0157477` Chr`8` : `20,066,049`	0.000	1.000	0.000
rs17217757 lBF = `-0.0403255` Chr`8` : `106,613,321`	0.000	1.000	0.000
rs7845127 lBF = `-0.0602147` Chr`8` : `18,067,395`	0.000	1.000	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.000	1.000	0.000
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.000	1.000	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.000	1.000	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	1.000	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.000	1.000	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.000	1.000	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.000	1.000	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.000	1.000	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.000	1.000	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.000	1.000	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	1.000	0.000
rs9987289 lBF = `1.05596` Chr`8` : `9,183,358`	0.000	1.000	0.000
rs6987004 lBF = `0.261503` Chr`8` : `34,524,003`	0.000	1.000	0.000
rs2122469 lBF = `0.150923` Chr`8` : `20,626,321`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs1484642 lBF = `-0.00808999` Chr`8` : `9,986,655`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs2002030 lBF = `-0.0219667` Chr`8` : `11,276,542`	0.000	1.000	0.000
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	1.000	0.000
rs9657451 lBF = `-0.0524017` Chr`8` : `138,905,296`	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 X0318

log Bayes Factor = 44.5459

contains 2 variants

0.4040

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.3412

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`)