TreeWAS – [K27.3] Acute without haemorrhage or 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
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.736	0.264	0.000
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.670	0.330	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.000	0.340	0.660
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	0.357	0.643
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.000	0.381	0.618
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.000	0.401	0.598
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.579	0.421	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.547	0.453	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.544	0.455	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.535	0.465	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.533	0.467	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.532	0.468	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.524	0.476	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.514	0.486	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.514	0.486	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.513	0.486	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.509	0.491	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.509	0.491	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.494	0.506	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.492	0.507	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.485	0.515	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.481	0.518	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.480	0.520	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.477	0.523	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.473	0.527	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.471	0.529	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.465	0.535	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.464	0.535	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.454	0.546	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.443	0.557	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.439	0.561	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.435	0.565	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.429	0.570	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.571	0.429
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.427	0.573	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.417	0.583	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.411	0.589	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.377	0.623	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.359	0.640	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.353	0.647	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.342	0.657	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.337	0.663	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.334	0.666	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.292	0.708	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.251	0.749	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.250	0.750	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.244	0.756	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.232	0.768	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.231	0.768	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.213	0.787	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.194	0.806	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.191	0.808	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.183	0.817	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.176	0.824	0.001
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.159	0.840	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.133	0.867	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.129	0.871	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.127	0.873	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.125	0.875	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.122	0.877	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.119	0.881	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.104	0.896	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.097	0.903	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.093	0.907	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.089	0.911	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.085	0.914	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`	0.077	0.923	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.074	0.926	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.070	0.929	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.062	0.938	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.057	0.943	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.054	0.946	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.950	0.049
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.048	0.951	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.047	0.953	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.046	0.954	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.038	0.961	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.038	0.962	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.034	0.965	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.033	0.967	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.032	0.968	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.030	0.970	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.028	0.972	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.027	0.972	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.027	0.973	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.026	0.973	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.022	0.978	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.021	0.979	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.016	0.984	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.015	0.984	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.015	0.984	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.985	0.015
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.014	0.986	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.014	0.986	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.013	0.987	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.012	0.987	0.000
rs7000447 lBF = `-0.0862948` Chr`8` : `131,523,283`	0.012	0.988	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.989	0.011
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.010	0.990	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.009	0.991	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.009	0.991	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.008	0.992	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.008	0.992	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.008	0.992	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.007	0.993	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.007	0.993	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.006	0.993	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.006	0.994	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.006	0.994	0.000
rs7000921 lBF = `-0.0634135` Chr`8` : `20,393,206`	0.006	0.994	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.006	0.994	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	0.994	0.006
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.006	0.994	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.005	0.994	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.005	0.995	0.000
rs2930491 lBF = `1.29978` Chr`8` : `107,842,294`	0.005	0.995	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.005	0.995	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.004	0.995	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.004	0.995	0.000
rs2981205 lBF = `1.43592` Chr`8` : `107,844,447`	0.004	0.996	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.004	0.996	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.004	0.996	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.004	0.996	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.004	0.996	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.003	0.996	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.003	0.997	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.003	0.997	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.003	0.997	0.000
rs2444896 lBF = `0.266119` Chr`8` : `99,022,009`	0.000	0.997	0.003
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
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.002	0.997	0.000
rs7814749 lBF = `-0.102908` Chr`8` : `87,721,349`	0.002	0.997	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.002	0.997	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.002	0.997	0.000
rs17405819 lBF = `-0.0363693` Chr`8` : `76,806,584`	0.000	0.997	0.002
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.002	0.997	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.002	0.997	0.000
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	0.998	0.002
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.002	0.998	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.002	0.998	0.000
rs73201717 lBF = `0.712049` Chr`8` : `16,682,746`	0.000	0.998	0.002
rs3824247 lBF = `7.70157` Chr`8` : `124,721,949`	0.000	0.998	0.002
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.002	0.998	0.000
rs2922763 lBF = `-0.0185582` Chr`8` : `76,573,711`	0.002	0.998	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.998	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.002	0.998	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.002	0.998	0.000
rs6981717 lBF = `-0.00626097` Chr`8` : `89,188,454`	0.000	0.998	0.001
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.000	0.998	0.001
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.001	0.998	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.001	0.998	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.001	0.998	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.001	0.999	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.999	0.001
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs7816032 lBF = `-0.0496174` Chr`8` : `19,786,891`	0.000	0.999	0.001
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs12543318 lBF = `-0.117623` Chr`8` : `88,868,340`	0.000	0.999	0.001
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.001	0.999	0.000
rs2514843 lBF = `6.52694` Chr`8` : `109,063,434`	0.001	0.999	0.000
rs4921799 lBF = `-0.0748329` Chr`8` : `17,507,964`	0.001	0.999	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.001	0.999	0.000
rs13266634 lBF = `14.9919` Chr`8` : `118,184,783`	0.001	0.999	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.001	0.999	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.001	0.999	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.001
rs4493873 lBF = `-0.0878362` Chr`8` : `92,075,643`	0.001	0.999	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.001	0.999	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs7845127 lBF = `-0.0602147` Chr`8` : `18,067,395`	0.001	0.999	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs12542166 lBF = `-0.03426` Chr`8` : `122,982,838`	0.001	0.999	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.001	0.999	0.000
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
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.001	0.999	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.001	0.999	0.000
rs7815909 lBF = `-0.0384843` Chr`8` : `57,200,362`	0.001	0.999	0.000
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	0.001	0.999	0.000
rs2511714 lBF = `-0.110272` Chr`8` : `103,578,874`	0.001	0.999	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.001	0.999	0.000
rs3802177 lBF = `15.0712` Chr`8` : `118,185,025`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
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rs42490 lBF = `-0.106832` Chr`8` : `90,778,513`	0.000	0.999	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.000	0.999	0.000
rs631031 lBF = `7.78806` Chr`8` : `109,190,032`	0.000	0.999	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	0.999	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.000	0.999	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	0.999	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	0.999	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.000	0.999	0.000
rs4642619 lBF = `1.51359` Chr`8` : `111,487,468`	0.000	0.999	0.000
rs36068923 lBF = `1.50278` Chr`8` : `111,485,761`	0.000	0.999	0.000
rs6469804 lBF = `0.816679` Chr`8` : `120,044,829`	0.000	0.999	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.999	0.000
rs1532423 lBF = `0.0695994` Chr`8` : `86,268,313`	0.000	0.999	0.000
rs17687067 lBF = `0.0484255` Chr`8` : `17,036,201`	0.000	0.999	0.000
rs263238 lBF = `0.00518041` Chr`8` : `131,812,033`	0.000	0.999	0.000
rs16937456 lBF = `-0.00258648` Chr`8` : `72,077,955`	0.000	0.999	0.000
rs12543592 lBF = `-0.0469522` Chr`8` : `123,511,652`	0.000	0.999	0.000
rs2741335 lBF = `-0.0522161` Chr`8` : `27,337,791`	0.000	0.999	0.000
rs2979481 lBF = `-0.0576421` Chr`8` : `30,262,786`	0.000	0.999	0.000
rs16910486 lBF = `-0.0606078` Chr`8` : `140,352,359`	0.000	0.999	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.000	0.999	0.000
rs10216564 lBF = `11.5477` Chr`8` : `77,475,130`	0.000	0.999	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.000	0.999	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.000	0.999	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.000	0.999	0.000
rs4360309 lBF = `7.7722` Chr`8` : `126,523,523`	0.000	0.999	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.000	0.999	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.000	0.999	0.000
rs16907751 lBF = `2.88109` Chr`8` : `81,375,457`	0.000	0.999	0.000
rs1495743 lBF = `1.21496` Chr`8` : `18,273,300`	0.000	0.999	0.000
rs7015657 lBF = `0.95006` Chr`8` : `20,967,551`	0.000	0.999	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.000	0.999	0.000
rs60461555 lBF = `0.511141` Chr`8` : `60,599,331`	0.000	0.999	0.000
rs17311976 lBF = `0.14103` Chr`8` : `131,637,337`	0.000	0.999	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.000	0.999	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	0.999	0.000
rs112537273 lBF = `0.100864` Chr`8` : `38,248,306`	0.000	0.999	0.000
rs17150703 lBF = `0.0696045` Chr`8` : `9,745,798`	0.000	0.999	0.000
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.000	0.999	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.999	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	0.999	0.000
rs4831760 lBF = `0.00033072` Chr`8` : `15,532,585`	0.000	0.999	0.000
rs332034 lBF = `-0.0244908` Chr`8` : `8,717,007`	0.000	0.999	0.000
rs2453452 lBF = `-0.0289907` Chr`8` : `87,879,043`	0.000	0.999	0.000
rs10503871 lBF = `-0.0315324` Chr`8` : `30,436,852`	0.000	0.999	0.000
rs28526159 lBF = `-0.0336001` Chr`8` : `19,891,227`	0.000	0.999	0.000
rs79076257 lBF = `-0.055238` Chr`8` : `110,244,623`	0.000	0.999	0.000
rs12676170 lBF = `-0.0817959` Chr`8` : `15,197,417`	0.000	0.999	0.000
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	0.999	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.000	0.999	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.000	0.999	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.000	0.999	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.000	0.999	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	0.999	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.000	0.999	0.000
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.000	0.999	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.000	0.999	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.000	0.999	0.000
rs6991347 lBF = `8.62128` Chr`8` : `25,756,681`	0.000	0.999	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.000	0.999	0.000
rs2071518 lBF = `4.45658` Chr`8` : `120,435,812`	0.000	0.999	0.000
rs330048 lBF = `2.7217` Chr`8` : `9,087,278`	0.000	0.999	0.000
rs4921914 lBF = `1.67362` Chr`8` : `18,272,438`	0.000	0.999	0.000
rs35246381 lBF = `0.953004` Chr`8` : `18,272,535`	0.000	0.999	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.000	0.999	0.000
rs298182 lBF = `0.432076` Chr`8` : `65,303,535`	0.000	0.999	0.000
rs2062377 lBF = `0.404128` Chr`8` : `120,007,420`	0.000	0.999	0.000
rs9298506 lBF = `0.291683` Chr`8` : `55,437,524`	0.000	0.999	0.000
rs10104997 lBF = `0.28902` Chr`8` : `55,440,068`	0.000	0.999	0.000
rs6472866 lBF = `0.248813` Chr`8` : `75,513,134`	0.000	0.999	0.000
rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	0.000	0.999	0.000
rs4876662 lBF = `0.186551` Chr`8` : `117,556,270`	0.000	0.999	0.000
rs1375785 lBF = `0.185641` Chr`8` : `83,991,231`	0.000	0.999	0.000
rs3104888 lBF = `0.105305` Chr`8` : `96,621,168`	0.000	0.999	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	0.999	0.000
rs7005606 lBF = `0.0301049` Chr`8` : `32,401,501`	0.000	0.999	0.000
rs2439302 lBF = `0.0218333` Chr`8` : `32,432,369`	0.000	0.999	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.999	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	0.999	0.000
rs10958409 lBF = `-0.00235757` Chr`8` : `55,327,091`	0.000	0.999	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	0.999	0.000
rs10110287 lBF = `-0.00831101` Chr`8` : `21,487,130`	0.000	0.999	0.000
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	0.999	0.000
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.000	0.999	0.000
rs859812 lBF = `-0.0141918` Chr`8` : `5,593,810`	0.000	0.999	0.000
rs7844919 lBF = `-0.0281267` Chr`8` : `2,226,153`	0.000	0.999	0.000
rs1094732 lBF = `-0.0322789` Chr`8` : `16,798,123`	0.000	0.999	0.000
rs804292 lBF = `-0.0513329` Chr`8` : `11,643,915`	0.000	0.999	0.000
rs7845056 lBF = `-0.0518936` Chr`8` : `143,020,731`	0.000	0.999	0.000
rs28834970 lBF = `-0.0720231` Chr`8` : `27,195,121`	0.000	0.999	0.000
rs10958369 lBF = `-0.0743503` Chr`8` : `54,410,208`	0.000	0.999	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.000	0.999	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.000	0.999	0.000
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.000	0.999	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	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

0.5570

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.3898

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6974

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6946

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6914

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6899

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6560

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6528

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6512

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6305

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6242

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6195

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6193

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.6193

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6083

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5811

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5745

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5658

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5562

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5486

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5445

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5375

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5277

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5256

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5093

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5056

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4986

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4985

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4914

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4747

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4675

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4549

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4423

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3917

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3884

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3773

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3522

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3479

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3430

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3241

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3095

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3059

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3026

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2833

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2821

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2723

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2569

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2431

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2430

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2381

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2181

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2039

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1563

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1544

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1455

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1418

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1350

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1329

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1226

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1199

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0889

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0768

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0690

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0631

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0606

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.0591

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0552

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0523

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`)