TreeWAS – [K31.2] Hourglass stricture and stenosis of stomach

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
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.712	0.288	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.706	0.294	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.705	0.294	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
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.680	0.320	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	0.324	0.676
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.635	0.365	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.000	0.366	0.634
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.613	0.386	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.605	0.395	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.604	0.396	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.563	0.437	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
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
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.502	0.498	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
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.486	0.514	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.480	0.520	0.000
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
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.439	0.560	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.433	0.567	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.433	0.567	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.000	0.577	0.423
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.404	0.596	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.000	0.610	0.390
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
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.304	0.695	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.296	0.703	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.283	0.717	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`	0.226	0.774	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
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.186	0.812	0.001
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.181	0.819	0.000
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
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.127	0.872	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.126	0.874	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.104	0.896	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.092	0.908	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.091	0.909	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.089	0.911	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`	0.076	0.924	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.070	0.930	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.057	0.943	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.053	0.947	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.052	0.947	0.000
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.052	0.947	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.051	0.949	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.050	0.950	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.950	0.049
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.049	0.951	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.048	0.951	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.046	0.954	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.041	0.959	0.000
rs12682527 lBF = `-0.0265521` Chr`8` : `21,321,004`	0.000	0.963	0.037
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.037	0.963	0.000
rs11166827 lBF = `0.159375` Chr`8` : `139,504,270`	0.036	0.964	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.035	0.965	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.031	0.969	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`	0.024	0.976	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`	0.021	0.979	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
rs2121904 lBF = `5.84292` Chr`8` : `109,379,633`	0.012	0.988	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.011	0.989	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.011	0.989	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.010	0.990	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.010	0.990	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.009	0.991	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.991	0.009
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.009	0.991	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.008	0.992	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.007	0.993	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.006	0.993	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
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
rs17658378 lBF = `0.180638` Chr`8` : `116,394,075`	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
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.005	0.995	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	0.995	0.005
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.005	0.995	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.005	0.995	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.005	0.995	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.005	0.995	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	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`	0.004	0.996	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.003	0.996	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.004	0.996	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.003	0.997	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.003	0.997	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.003	0.997	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.003	0.997	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	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
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.002	0.997	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.002	0.998	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.002	0.998	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	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
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.002	0.998	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.002	0.998	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.002	0.998	0.000
rs7463166 lBF = `-0.0381616` Chr`8` : `4,833,790`	0.000	0.998	0.002
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.002	0.998	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	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
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.001	0.998	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.002	0.998	0.000
rs13281609 lBF = `0.0126291` Chr`8` : `115,324,068`	0.001	0.998	0.000
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	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.001	0.999	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.001	0.999	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.001	0.999	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	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
rs1208 lBF = `-0.0928151` Chr`8` : `18,258,316`	0.001	0.999	0.000
rs13272623 lBF = `0.830413` Chr`8` : `71,544,748`	0.001	0.999	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	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
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
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
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	0.999	0.001
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
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.999	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.001	0.999	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.001	0.999	0.000
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
rs75455452 lBF = `0` Chr`8` : `72,991,580`	0.001	0.999	0.001
rs144222594 lBF = `0` Chr`8` : `12,931,504`	0.001	0.999	0.001
rs141721054 lBF = `0` Chr`8` : `131,201,613`	0.001	0.999	0.001
rs188858915 lBF = `0` Chr`8` : `6,494,833`	0.001	0.999	0.001
rs76547188 lBF = `0` Chr`8` : `21,978,372`	0.001	0.999	0.001
rs191935895 lBF = `0` Chr`8` : `5,267,311`	0.001	0.999	0.001
rs189590409 lBF = `0` Chr`8` : `114,727,602`	0.001	0.999	0.001
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
rs147852159 lBF = `0` Chr`8` : `146,171,164`	0.001	0.999	0.001
rs201734206 lBF = `0` Chr`8` : `73,984,100`	0.001	0.999	0.001
rs192994403 lBF = `0` Chr`8` : `76,211,333`	0.001	0.999	0.001
rs79781504 lBF = `0` Chr`8` : `84,750,057`	0.001	0.999	0.001
rs116041037 lBF = `0` Chr`8` : `128,131,809`	0.001	0.999	0.001
rs183191361 lBF = `0` Chr`8` : `76,083,247`	0.001	0.999	0.001
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rs3108919 lBF = `-0.0535203` Chr`8` : `101,841,546`	0.000	1.000	0.000
rs2449202 lBF = `-0.111218` Chr`8` : `3,507,129`	0.000	1.000	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	1.000	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.000	1.000	0.000
rs2048656 lBF = `2.78992` Chr`8` : `9,644,659`	0.000	1.000	0.000
rs330048 lBF = `2.7217` Chr`8` : `9,087,278`	0.000	1.000	0.000
rs7000782 lBF = `2.68223` Chr`8` : `81,308,150`	0.000	1.000	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.000	1.000	0.000
rs6601327 lBF = `1.76624` Chr`8` : `9,395,532`	0.000	1.000	0.000
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.000	1.000	0.000
rs12546471 lBF = `0.253507` Chr`8` : `4,181,065`	0.000	1.000	0.000
rs7834018 lBF = `0.188881` Chr`8` : `72,561,742`	0.000	1.000	0.000
rs117933211 lBF = `0.115108` Chr`8` : `47,243,611`	0.000	1.000	0.000
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	1.000	0.000
rs11987235 lBF = `0.0831969` Chr`8` : `117,641,610`	0.000	1.000	0.000
rs7846606 lBF = `0.0546693` Chr`8` : `77,507,613`	0.000	1.000	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs11249878 lBF = `-0.0198982` Chr`8` : `8,550,255`	0.000	1.000	0.000
rs13277237 lBF = `-0.0240429` Chr`8` : `130,604,563`	0.000	1.000	0.000
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	1.000	0.000
rs1027730 lBF = `-0.0319836` Chr`8` : `94,085,539`	0.000	1.000	0.000
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.000	1.000	0.000
rs2916733 lBF = `-0.0629949` Chr`8` : `6,323,278`	0.000	1.000	0.000
rs11781622 lBF = `-0.0749637` Chr`8` : `24,378,741`	0.000	1.000	0.000
rs62531686 lBF = `-0.0768538` Chr`8` : `138,909,719`	0.000	1.000	0.000
rs2565065 lBF = `-0.0811412` Chr`8` : `27,328,021`	0.000	1.000	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.000	1.000	0.000
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.000	1.000	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.000	1.000	0.000
rs7009110 lBF = `4.68843` Chr`8` : `81,291,879`	0.000	1.000	0.000
rs13255292 lBF = `4.14008` Chr`8` : `129,076,573`	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
rs7006821 lBF = `0.750614` Chr`8` : `72,270,082`	0.000	1.000	0.000
rs975730 lBF = `0.41531` Chr`8` : `129,316,014`	0.000	1.000	0.000
rs1375785 lBF = `0.185641` Chr`8` : `83,991,231`	0.000	1.000	0.000
rs4922199 lBF = `0.0780121` Chr`8` : `20,301,437`	0.000	1.000	0.000
rs76794758 lBF = `0.0753432` Chr`8` : `47,052,818`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	1.000	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.000	1.000	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs263232 lBF = `-0.00009044` Chr`8` : `131,808,169`	0.000	1.000	0.000
rs201466262 lBF = `-0.00045314` Chr`8` : `52,407,936`	0.000	1.000	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	1.000	0.000
rs13340561 lBF = `-0.00345309` Chr`8` : `16,058,905`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	0.000	1.000	0.000
rs7831697 lBF = `-0.0486747` Chr`8` : `138,136,304`	0.000	1.000	0.000
rs75200691 lBF = `-0.0532288` Chr`8` : `13,054,869`	0.000	1.000	0.000
rs2294015 lBF = `-0.0667375` Chr`8` : `124,696,867`	0.000	1.000	0.000
rs3870371 lBF = `-0.0683153` Chr`8` : `122,697,132`	0.000	1.000	0.000
rs13279485 lBF = `-0.0737486` Chr`8` : `1,883,352`	0.000	1.000	0.000
rs2271920 lBF = `-0.0756172` Chr`8` : `27,316,117`	0.000	1.000	0.000
rs6471393 lBF = `-0.102355` Chr`8` : `94,715,291`	0.000	1.000	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.000	1.000	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.000	1.000	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.000	1.000	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	1.000	0.000
rs677330 lBF = `8.55621` Chr`8` : `109,177,572`	0.000	1.000	0.000
rs622856 lBF = `8.44713` Chr`8` : `128,333,180`	0.000	1.000	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	1.000	0.000
rs374810 lBF = `6.8979` Chr`8` : `109,096,029`	0.000	1.000	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.000	1.000	0.000
rs2514843 lBF = `6.52694` Chr`8` : `109,063,434`	0.000	1.000	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	1.000	0.000
rs4841452 lBF = `6.18226` Chr`8` : `10,687,121`	0.000	1.000	0.000
rs7014382 lBF = `6.1756` Chr`8` : `69,991,586`	0.000	1.000	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.000	1.000	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.000	1.000	0.000
rs6473227 lBF = `4.79247` Chr`8` : `81,285,892`	0.000	1.000	0.000
rs11786541 lBF = `3.50621` Chr`8` : `9,789,549`	0.000	1.000	0.000
rs643955 lBF = `3.05683` Chr`8` : `9,891,254`	0.000	1.000	0.000
rs2220321 lBF = `2.73724` Chr`8` : `127,911,596`	0.000	1.000	0.000
rs4625043 lBF = `0.912167` Chr`8` : `24,533,193`	0.000	1.000	0.000
rs2055729 lBF = `0.793112` Chr`8` : `9,792,662`	0.000	1.000	0.000
rs4295623 lBF = `0.788904` Chr`8` : `11,522,784`	0.000	1.000	0.000
rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.000	1.000	0.000
rs17766217 lBF = `0.572149` Chr`8` : `128,504,497`	0.000	1.000	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.000	1.000	0.000
rs7832232 lBF = `0.38776` Chr`8` : `38,469,303`	0.000	1.000	0.000
rs12549902 lBF = `0.251383` Chr`8` : `41,509,259`	0.000	1.000	0.000
rs6472155 lBF = `0.176679` Chr`8` : `65,730,207`	0.000	1.000	0.000
rs11785400 lBF = `0.145866` Chr`8` : `143,730,456`	0.000	1.000	0.000
rs17311976 lBF = `0.14103` Chr`8` : `131,637,337`	0.000	1.000	0.000
rs6469488 lBF = `0.121984` Chr`8` : `114,885,432`	0.000	1.000	0.000
rs1480997 lBF = `0.111189` Chr`8` : `21,484,457`	0.000	1.000	0.000
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.000	1.000	0.000
rs1532423 lBF = `0.0695994` Chr`8` : `86,268,313`	0.000	1.000	0.000
rs17362923 lBF = `0.0307391` Chr`8` : `5,546,824`	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

0.7103

Cluster X0116

log Bayes Factor = 12.7289

contains 3 variants

0.2280

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.0967

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7168

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7167

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7167

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7165

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7161

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7141

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7131

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7106

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7045

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6962

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6937

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6874

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6870

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6789

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6693

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6688

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6677

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6635

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6450

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6399

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6076

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6009

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5783

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5731

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5685

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5589

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5086

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4952

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4950

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4869

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4809

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4133

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4128

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3618

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3215

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3106

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2941

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2816

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2603

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2430

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2395

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2351

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2329

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2262

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2210

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2013

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1910

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1516

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1516

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1511

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1361

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.1205

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1170

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1092

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0944

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0867

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0777

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0754

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0733

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0683

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`)