TreeWAS – [K31.5] Obstruction of duodenum

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
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	0.084	0.916
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.000	0.230	0.770
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.711	0.289	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.701	0.299	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.701	0.299	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.695	0.305	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.695	0.305	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.688	0.312	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.643	0.357	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.635	0.365	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.632	0.368	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.613	0.386	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.610	0.390	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.575	0.425	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.555	0.445	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.554	0.446	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.547	0.453	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.544	0.456	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.543	0.457	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.542	0.458	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.529	0.471	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.519	0.480	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.500	0.500	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.498	0.502	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.000	0.521	0.479
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.478	0.522	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.549	0.451
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.447	0.552	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.000	0.555	0.445
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.439	0.560	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.434	0.566	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.433	0.567	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.422	0.578	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.332	0.668	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.323	0.677	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.309	0.691	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.307	0.693	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.307	0.693	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.296	0.703	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.282	0.718	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.279	0.721	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.273	0.727	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.249	0.751	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.246	0.754	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.223	0.777	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.199	0.801	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.199	0.801	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.190	0.810	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.186	0.812	0.001
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.159	0.840	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.148	0.852	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.144	0.855	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.133	0.866	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.131	0.869	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.127	0.872	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.110	0.890	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.102	0.897	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.100	0.900	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.091	0.909	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.085	0.914	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.085	0.915	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.083	0.917	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.076	0.924	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.072	0.927	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.070	0.930	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.056	0.944	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.054	0.946	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.052	0.947	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.051	0.949	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.050	0.950	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.950	0.049
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.049	0.951	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.048	0.951	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.047	0.952	0.000
rs12682527 lBF = `-0.0265521` Chr`8` : `21,321,004`	0.000	0.956	0.044
rs11166827 lBF = `0.159375` Chr`8` : `139,504,270`	0.042	0.958	0.000
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.039	0.961	0.000
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.035	0.965	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.035	0.965	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.029	0.971	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.028	0.971	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.026	0.973	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.025	0.974	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.025	0.975	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.025	0.975	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.024	0.976	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.023	0.976	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.023	0.977	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.021	0.979	0.000
rs2121904 lBF = `5.84292` Chr`8` : `109,379,633`	0.018	0.982	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.983	0.017
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.015	0.984	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.013	0.986	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.012	0.987	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.012	0.988	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.011	0.989	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.011	0.989	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.010	0.990	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.010	0.990	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.990	0.009
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.009	0.990	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.008	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.008	0.992	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.008	0.992	0.000
rs2851394 lBF = `-0.0364814` Chr`8` : `107,579,392`	0.008	0.992	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.006	0.993	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.006	0.994	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.006	0.994	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.006	0.994	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.006	0.994	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.006	0.994	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.005	0.995	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.005	0.995	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.005	0.995	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs17658378 lBF = `0.180638` Chr`8` : `116,394,075`	0.004	0.995	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.004	0.996	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	0.996	0.004
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.004	0.996	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.004	0.996	0.000
rs7463166 lBF = `-0.0381616` Chr`8` : `4,833,790`	0.000	0.996	0.004
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.004	0.996	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.004	0.996	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.003	0.996	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.003	0.997	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.003	0.997	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.003	0.997	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.003	0.997	0.000
rs11776272 lBF = `-0.0067885` Chr`8` : `21,884,544`	0.003	0.997	0.000
rs11785400 lBF = `0.145866` Chr`8` : `143,730,456`	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
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.002	0.997	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.003	0.997	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.002	0.997	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.002	0.997	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.002	0.998	0.000
rs7000921 lBF = `-0.0634135` Chr`8` : `20,393,206`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.002	0.998	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.002	0.998	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.002	0.998	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.002	0.998	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.002	0.998	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.002	0.998	0.000
rs7823467 lBF = `-0.0945008` Chr`8` : `60,078,734`	0.000	0.998	0.002
rs4875598 lBF = `-0.0982412` Chr`8` : `5,461,753`	0.002	0.998	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.002	0.998	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.001	0.998	0.000
rs10098647 lBF = `-0.102468` Chr`8` : `61,105,199`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.001	0.998	0.000
rs17349258 lBF = `0.00084495` Chr`8` : `4,841,024`	0.000	0.998	0.002
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.998	0.001
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.001	0.998	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.001	0.998	0.000
rs2721173 lBF = `0.193726` Chr`8` : `145,744,429`	0.001	0.999	0.000
rs17405819 lBF = `-0.0363693` Chr`8` : `76,806,584`	0.001	0.999	0.000
rs17466684 lBF = `-0.0699541` Chr`8` : `27,452,847`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs13281609 lBF = `0.0126291` Chr`8` : `115,324,068`	0.001	0.999	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.001	0.999	0.000
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.000	0.999	0.001
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	0.999	0.001
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.001	0.999	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.001	0.999	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.000	0.999	0.001
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs10113215 lBF = `-0.0808529` Chr`8` : `60,132,194`	0.000	0.999	0.001
rs10105606 lBF = `2.71178` Chr`8` : `19,827,848`	0.001	0.999	0.000
rs978152 lBF = `-0.0405618` Chr`8` : `133,369,094`	0.001	0.999	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.001	0.999	0.000
rs13272623 lBF = `0.830413` Chr`8` : `71,544,748`	0.001	0.999	0.000
rs17394429 lBF = `0.751011` Chr`8` : `3,316,986`	0.001	0.999	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.001	0.999	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.001	0.999	0.000
rs1208 lBF = `-0.0928151` Chr`8` : `18,258,316`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.001
rs6981992 lBF = `-0.0112274` Chr`8` : `66,463,478`	0.000	0.999	0.001
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs7465272 lBF = `-0.0778937` Chr`8` : `143,691,838`	0.001	0.999	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.999	0.000
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	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
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rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	1.000	0.000
rs2062375 lBF = `0.412839` Chr`8` : `119,977,792`	0.000	1.000	0.000
rs10086568 lBF = `0.258841` Chr`8` : `6,900,336`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs189798 lBF = `-0.0122038` Chr`8` : `8,990,577`	0.000	1.000	0.000
rs12216812 lBF = `-0.0208649` Chr`8` : `82,151,747`	0.000	1.000	0.000
rs2453452 lBF = `-0.0289907` Chr`8` : `87,879,043`	0.000	1.000	0.000
rs1523643 lBF = `-0.0580598` Chr`8` : `16,789,235`	0.000	1.000	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	1.000	0.000
rs1909881 lBF = `-0.0599299` Chr`8` : `96,515,888`	0.000	1.000	0.000
rs16910486 lBF = `-0.0606078` Chr`8` : `140,352,359`	0.000	1.000	0.000
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	1.000	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.000	1.000	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.000	1.000	0.000
rs56005245 lBF = `9.35561` Chr`8` : `128,113,426`	0.000	1.000	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.000	1.000	0.000
rs13256366 lBF = `5.2471` Chr`8` : `23,502,660`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs7007970 lBF = `-0.0250041` Chr`8` : `120,647,929`	0.000	1.000	0.000
rs10089517 lBF = `-0.0568592` Chr`8` : `60,178,721`	0.000	1.000	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	1.000	0.000
rs9987353 lBF = `0.199776` Chr`8` : `9,116,349`	0.000	1.000	0.000
rs11778329 lBF = `0.077655` Chr`8` : `49,053,165`	0.000	1.000	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	1.000	0.000
rs10106298 lBF = `0.0627639` Chr`8` : `103,688,381`	0.000	1.000	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	1.000	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	1.000	0.000
rs9792269 lBF = `-0.0139359` Chr`8` : `129,264,589`	0.000	1.000	0.000
rs13272568 lBF = `-0.0313162` Chr`8` : `79,034,459`	0.000	1.000	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.000	1.000	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.000	1.000	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.000	1.000	0.000
rs7839059 lBF = `0.472635` Chr`8` : `119,976,542`	0.000	1.000	0.000
rs2737229 lBF = `0.177448` Chr`8` : `116,648,565`	0.000	1.000	0.000
rs7827290 lBF = `0.0731665` Chr`8` : `142,300,315`	0.000	1.000	0.000
rs2287654 lBF = `0.0468666` Chr`8` : `47,947,701`	0.000	1.000	0.000
rs77742018 lBF = `0.00312351` Chr`8` : `96,504,472`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs2163950 lBF = `-0.0149918` Chr`8` : `130,597,585`	0.000	1.000	0.000
rs7013415 lBF = `-0.0431174` Chr`8` : `73,038,451`	0.000	1.000	0.000
rs2943559 lBF = `-0.0440886` Chr`8` : `76,417,937`	0.000	1.000	0.000
rs6474412 lBF = `-0.0471785` Chr`8` : `42,550,498`	0.000	1.000	0.000
rs13279485 lBF = `-0.0737486` Chr`8` : `1,883,352`	0.000	1.000	0.000
rs3802177 lBF = `15.0712` Chr`8` : `118,185,025`	0.000	1.000	0.000
rs13266634 lBF = `14.9919` Chr`8` : `118,184,783`	0.000	1.000	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.000	1.000	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.000	1.000	0.000
rs330048 lBF = `2.7217` Chr`8` : `9,087,278`	0.000	1.000	0.000
rs298182 lBF = `0.432076` Chr`8` : `65,303,535`	0.000	1.000	0.000
rs6472155 lBF = `0.176679` Chr`8` : `65,730,207`	0.000	1.000	0.000
rs1480997 lBF = `0.111189` Chr`8` : `21,484,457`	0.000	1.000	0.000
rs4637816 lBF = `0.0835773` Chr`8` : `78,277,473`	0.000	1.000	0.000
rs16894459 lBF = `0.0605727` Chr`8` : `97,327,679`	0.000	1.000	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	1.000	0.000
rs2738058 lBF = `0.0417711` Chr`8` : `6,821,617`	0.000	1.000	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs1531590 lBF = `0.0152584` Chr`8` : `76,036,444`	0.000	1.000	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.000	1.000	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs1529316 lBF = `-0.0972332` Chr`8` : `3,828,138`	0.000	1.000	0.000
rs6991952 lBF = `35.6205` Chr`8` : `25,707,412`	0.000	1.000	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.000	1.000	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.000	1.000	0.000
rs76809594 lBF = `8.33722` Chr`8` : `25,639,271`	0.000	1.000	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	1.000	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.000	1.000	0.000
rs4602861 lBF = `3.8459` Chr`8` : `106,590,706`	0.000	1.000	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs569688 lBF = `0.00507678` Chr`8` : `60,961,821`	0.000	1.000	0.000
rs2460905 lBF = `-0.00438948` Chr`8` : `12,834,600`	0.000	1.000	0.000
rs10110287 lBF = `-0.00831101` Chr`8` : `21,487,130`	0.000	1.000	0.000
rs11249878 lBF = `-0.0198982` Chr`8` : `8,550,255`	0.000	1.000	0.000
rs11987678 lBF = `-0.0283536` Chr`8` : `81,228,826`	0.000	1.000	0.000
rs2290416 lBF = `-0.0455999` Chr`8` : `144,657,600`	0.000	1.000	0.000
rs7818382 lBF = `-0.0469083` Chr`8` : `96,054,000`	0.000	1.000	0.000
rs1349547 lBF = `-0.0562944` Chr`8` : `39,548,378`	0.000	1.000	0.000
rs7837791 lBF = `-0.0766176` Chr`8` : `60,179,086`	0.000	1.000	0.000
rs10113213 lBF = `-0.0835412` Chr`8` : `82,888,608`	0.000	1.000	0.000
rs7837688 lBF = `15.6076` Chr`8` : `128,539,360`	0.000	1.000	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.000	1.000	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.000	1.000	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.000	1.000	0.000
rs1016343 lBF = `7.41028` Chr`8` : `128,093,297`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.3952

Cluster X0116

log Bayes Factor = 12.7289

contains 3 variants

0.3003

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.1268

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9893

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9886

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9680

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9407

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9389

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9256

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9020

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8892

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8821

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8745

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8663

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8603

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8580

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8443

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7935

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7935

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7894

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7831

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7584

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7574

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7573

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7494

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6956

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6792

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6598

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6586

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6535

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6515

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6450

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5785

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5672

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5419

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5356

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5266

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4770

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4414

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3584

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3484

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3431

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3215

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3022

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2997

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2923

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2878

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2877

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2816

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2743

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2182

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2065

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1928

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1349

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.1346

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1314

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1224

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1219

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1212

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1146

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1036

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1008

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0959

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0939

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0556

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0547

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`)