TreeWAS – [Z93.1] Gastrostomy status

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
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.837	0.163	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.792	0.208	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.752	0.248	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.738	0.262	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.700	0.300	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.680	0.320	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.657	0.343	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.649	0.350	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.649	0.351	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.643	0.357	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.632	0.367	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.629	0.371	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.591	0.409	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.583	0.417	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.575	0.425	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.570	0.429	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.569	0.431	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.568	0.432	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.567	0.433	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.567	0.433	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.543	0.457	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.541	0.459	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.494	0.505	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.493	0.507	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.482	0.518	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.478	0.522	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.546	0.453
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.451	0.549	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.443	0.557	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.436	0.564	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.431	0.569	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.425	0.574	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.410	0.590	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.395	0.605	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.391	0.609	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.384	0.616	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.384	0.616	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.372	0.627	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.357	0.642	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.346	0.653	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.345	0.655	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.338	0.661	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.337	0.663	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.327	0.672	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.318	0.682	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.313	0.686	0.001
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.311	0.689	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.310	0.689	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.303	0.696	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.288	0.712	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.283	0.717	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.282	0.718	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.271	0.728	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.270	0.730	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.263	0.737	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.262	0.738	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.257	0.743	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.234	0.766	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.225	0.774	0.001
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.213	0.787	0.001
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.210	0.790	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.206	0.794	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.200	0.800	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.197	0.803	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.194	0.806	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.182	0.818	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.171	0.829	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.156	0.844	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.129	0.871	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.127	0.873	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.118	0.882	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.107	0.893	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.102	0.898	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.080	0.920	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.921	0.079
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.075	0.925	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.074	0.925	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.072	0.928	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.068	0.932	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.065	0.933	0.002
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.065	0.935	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.062	0.936	0.002
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.062	0.938	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.047	0.953	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.038	0.962	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.038	0.962	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.038	0.962	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.038	0.962	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.037	0.963	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.026	0.974	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.026	0.974	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.025	0.975	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.023	0.977	0.000
rs4732812 lBF = `0.155874` Chr`8` : `27,923,388`	0.000	0.979	0.021
rs6988229 lBF = `-0.0887463` Chr`8` : `139,884,509`	0.021	0.979	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.020	0.980	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.019	0.980	0.000
rs7844919 lBF = `-0.0281267` Chr`8` : `2,226,153`	0.018	0.982	0.000
rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.018	0.982	0.000
rs16907751 lBF = `2.88109` Chr`8` : `81,375,457`	0.017	0.983	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.017	0.983	0.000
rs7387468 lBF = `-0.0269339` Chr`8` : `94,358,098`	0.016	0.984	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.016	0.984	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.016	0.984	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.015	0.984	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.015	0.985	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.015	0.985	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.014	0.985	0.001
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.014	0.986	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.014	0.986	0.000
rs13273891 lBF = `-0.032508` Chr`8` : `58,986,459`	0.012	0.988	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	0.988	0.012
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.012	0.988	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.012	0.988	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.011	0.988	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.009	0.991	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.008	0.992	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.992	0.007
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs28455997 lBF = `0.0306551` Chr`8` : `3,076,959`	0.000	0.993	0.007
rs6471393 lBF = `-0.102355` Chr`8` : `94,715,291`	0.007	0.993	0.000
rs77210013 lBF = `9.66331` Chr`8` : `101,022,381`	0.000	0.993	0.007
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.006	0.993	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.006	0.994	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.006	0.994	0.000
rs2468677 lBF = `0.115259` Chr`8` : `140,519,517`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.006	0.994	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.005	0.994	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.005	0.995	0.000
rs1446682 lBF = `-0.0866074` Chr`8` : `27,076,598`	0.000	0.995	0.005
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.005	0.995	0.000
rs4242434 lBF = `0.0831786` Chr`8` : `22,501,830`	0.000	0.996	0.004
rs2977125 lBF = `0.159036` Chr`8` : `12,773,256`	0.000	0.996	0.004
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.004	0.996	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.004	0.996	0.000
rs13270892 lBF = `-0.0278743` Chr`8` : `20,497,183`	0.000	0.996	0.004
rs1460163 lBF = `-0.064761` Chr`8` : `80,227,448`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs1051920 lBF = `5.52554` Chr`8` : `81,438,420`	0.004	0.996	0.000
rs147305104 lBF = `5.74596` Chr`8` : `81,426,293`	0.003	0.997	0.000
rs1390943 lBF = `-0.0869074` Chr`8` : `20,081,890`	0.000	0.997	0.003
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs58810682 lBF = `-0.0694024` Chr`8` : `43,695,234`	0.003	0.997	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.003	0.997	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	0.997	0.003
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.003	0.997	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.003	0.997	0.000
rs17057051 lBF = `0.0233128` Chr`8` : `27,227,554`	0.000	0.997	0.003
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.002	0.997	0.001
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.003	0.997	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.003	0.997	0.000
rs7822058 lBF = `-0.0416773` Chr`8` : `53,684,861`	0.000	0.997	0.003
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	0.997	0.003
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.002	0.998	0.000
rs28834970 lBF = `-0.0720231` Chr`8` : `27,195,121`	0.000	0.998	0.002
rs7818948 lBF = `21.8594` Chr`8` : `101,062,888`	0.000	0.998	0.002
rs7006527 lBF = `21.6364` Chr`8` : `101,024,505`	0.000	0.998	0.002
rs630662 lBF = `-0.0952354` Chr`8` : `108,972,298`	0.002	0.998	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs1478898 lBF = `1.07653` Chr`8` : `11,395,079`	0.002	0.998	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.002	0.998	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.002	0.998	0.000
rs11993814 lBF = `5.99138` Chr`8` : `81,389,791`	0.002	0.998	0.000
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.000	0.998	0.002
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs11778693 lBF = `0.0184763` Chr`8` : `22,462,852`	0.000	0.998	0.002
rs6990042 lBF = `-0.077602` Chr`8` : `14,173,974`	0.002	0.998	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs7824557 lBF = `0.367127` Chr`8` : `11,104,111`	0.002	0.998	0.000
rs56677333 lBF = `-0.00016109` Chr`8` : `6,750,801`	0.000	0.998	0.002
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.001	0.998	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.002	0.998	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.002	0.998	0.000
rs2946505 lBF = `-0.0713648` Chr`8` : `12,811,152`	0.002	0.998	0.000
rs2936519 lBF = `0.0602152` Chr`8` : `6,639,240`	0.001	0.998	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.001	0.998	0.001
rs440837 lBF = `2.52151` Chr`8` : `81,461,974`	0.002	0.998	0.000
rs10108033 lBF = `0.0622048` Chr`8` : `132,330,716`	0.000	0.999	0.001
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.001	0.999	0.000
rs987525 lBF = `0.731115` Chr`8` : `129,946,154`	0.001	0.999	0.000
rs7002619 lBF = `-0.0428105` Chr`8` : `16,065,557`	0.000	0.999	0.001
rs2046315 lBF = `0.00340521` Chr`8` : `90,211,100`	0.000	0.999	0.001
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.001	0.999	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.999	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.001	0.999	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
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rs1478897 lBF = `0.0531578` Chr`8` : `11,395,232`	0.001	0.999	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.999	0.000
rs218361 lBF = `-0.0958539` Chr`8` : `116,110,725`	0.001	0.999	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.000	0.999	0.000
rs7837688 lBF = `15.6076` Chr`8` : `128,539,360`	0.001	0.999	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	0.999	0.000
rs12541063 lBF = `-0.00270779` Chr`8` : `135,869,976`	0.000	0.999	0.001
rs903614 lBF = `-0.0185564` Chr`8` : `119,830,680`	0.000	0.999	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.001	0.999	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	0.999	0.001
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.001	0.999	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	0.999	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	0.999	0.000
rs13267838 lBF = `0.00191318` Chr`8` : `25,196,710`	0.000	0.999	0.001
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.000
rs13256369 lBF = `-0.0319504` Chr`8` : `8,577,379`	0.001	0.999	0.000
rs10481151 lBF = `-0.0472283` Chr`8` : `124,831,834`	0.000	0.999	0.001
rs13253111 lBF = `-0.0521439` Chr`8` : `28,061,974`	0.001	0.999	0.000
rs1906493 lBF = `-0.0772123` Chr`8` : `127,092,882`	0.000	0.999	0.000
rs2279590 lBF = `-0.109202` Chr`8` : `27,456,253`	0.001	0.999	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.000	0.999	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	0.999	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	0.999	0.000
rs12545912 lBF = `0.193794` Chr`8` : `9,601,699`	0.001	0.999	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.999	0.000
rs11987758 lBF = `0.0136368` Chr`8` : `2,128,786`	0.000	0.999	0.001
rs2954793 lBF = `-0.0391283` Chr`8` : `29,106,059`	0.000	0.999	0.001
rs3923388 lBF = `-0.0711683` Chr`8` : `144,986,678`	0.001	0.999	0.000
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.001	0.999	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	0.999	0.000
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.000	0.999	0.001
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	0.999	0.000
rs240657 lBF = `-0.00636384` Chr`8` : `15,665,612`	0.000	0.999	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	0.999	0.000
rs6993449 lBF = `-0.0949468` Chr`8` : `108,281,427`	0.001	0.999	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs4625043 lBF = `0.912167` Chr`8` : `24,533,193`	0.000	1.000	0.000
rs11780156 lBF = `0.562409` Chr`8` : `129,194,641`	0.000	1.000	0.000
rs56077246 lBF = `0.0868122` Chr`8` : `144,983,493`	0.000	1.000	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.000	1.000	0.000
rs2347503 lBF = `0.00629633` Chr`8` : `32,232,827`	0.000	1.000	0.000
rs17786744 lBF = `-0.0575992` Chr`8` : `23,777,006`	0.000	1.000	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.000	1.000	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.000	1.000	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	1.000	0.000
rs400824 lBF = `3.72898` Chr`8` : `81,357,702`	0.000	1.000	0.000
rs11166827 lBF = `0.159375` Chr`8` : `139,504,270`	0.000	1.000	0.000
rs7816613 lBF = `0.0252555` Chr`8` : `102,729,475`	0.000	1.000	0.000
rs9650315 lBF = `0.0180583` Chr`8` : `57,155,598`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.000	1.000	0.000
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.000	1.000	0.000
rs9331896 lBF = `-0.0684502` Chr`8` : `27,467,686`	0.000	1.000	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs1375785 lBF = `0.185641` Chr`8` : `83,991,231`	0.000	1.000	0.000
rs4484658 lBF = `0.148601` Chr`8` : `96,208,726`	0.000	1.000	0.000
rs11783655 lBF = `0.0811694` Chr`8` : `145,037,573`	0.000	1.000	0.000
rs55646585 lBF = `0.0292761` Chr`8` : `144,999,621`	0.000	1.000	0.000
rs272594 lBF = `-0.0153296` Chr`8` : `81,470,120`	0.000	1.000	0.000
rs2447961 lBF = `-0.0167582` Chr`8` : `102,481,308`	0.000	1.000	0.000
rs2922763 lBF = `-0.0185582` Chr`8` : `76,573,711`	0.000	1.000	0.000
rs12682527 lBF = `-0.0265521` Chr`8` : `21,321,004`	0.000	1.000	0.000
rs80018415 lBF = `-0.0366853` Chr`8` : `133,916,799`	0.000	1.000	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.000	1.000	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	1.000	0.000
rs1962073 lBF = `1.72707` Chr`8` : `10,260,553`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	0.000	1.000	0.000
rs7816924 lBF = `0.0429764` Chr`8` : `19,539,638`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs4831837 lBF = `-0.0168165` Chr`8` : `12,711,863`	0.000	1.000	0.000
rs11249878 lBF = `-0.0198982` Chr`8` : `8,550,255`	0.000	1.000	0.000
rs3923387 lBF = `-0.03853` Chr`8` : `144,986,793`	0.000	1.000	0.000
rs55828312 lBF = `-0.0437374` Chr`8` : `42,589,602`	0.000	1.000	0.000
rs4389974 lBF = `-0.0696583` Chr`8` : `112,381,796`	0.000	1.000	0.000
rs10098647 lBF = `-0.102468` Chr`8` : `61,105,199`	0.000	1.000	0.000
rs4276643 lBF = `-0.119684` Chr`8` : `27,803,599`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	1.000	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs10104895 lBF = `0.0572234` Chr`8` : `61,876,044`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs2071598 lBF = `-0.0176702` Chr`8` : `99,129,507`	0.000	1.000	0.000
rs117880470 lBF = `-0.034689` Chr`8` : `6,933,373`	0.000	1.000	0.000
rs7008026 lBF = `-0.0355462` Chr`8` : `70,950,280`	0.000	1.000	0.000
rs6990361 lBF = `-0.0418494` Chr`8` : `144,987,221`	0.000	1.000	0.000
rs10109414 lBF = `-0.0599891` Chr`8` : `23,751,151`	0.000	1.000	0.000
rs1296028 lBF = `2.87067` Chr`8` : `11,698,747`	0.000	1.000	0.000
rs1018836 lBF = `1.5813` Chr`8` : `91,570,362`	0.000	1.000	0.000
rs16936455 lBF = `0.324153` Chr`8` : `70,724,754`	0.000	1.000	0.000
rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.8804

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3317

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9993

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9987

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9963

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9951

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9948

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9948

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9906

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9886

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9805

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9789

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9759

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9704

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9702

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9693

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9638

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9574

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9508

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9374

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9356

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9322

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9311

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9108

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9038

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8997

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8820

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8820

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8706

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8702

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8557

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.8470

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8402

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8226

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8213

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8200

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8135

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8122

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7851

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7810

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7523

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7513

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7390

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7389

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7377

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7372

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7334

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7334

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7329

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7257

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7000

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6873

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6805

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6717

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6590

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6538

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6393

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6296

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6261

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5966

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5780

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5642

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5412

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5174

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5171

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4882

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4859

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4793

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4759

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4574

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4563

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4466

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4397

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4209

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4095

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3919

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3845

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3819

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3375

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3332

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3303

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3164

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3116

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3072

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2999

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2979

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2855

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2779

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2729

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2691

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2669

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2470

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2447

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2311

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2016

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1801

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1624

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1399

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1329

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1265

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1256

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1143

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1129

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1109

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1042

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1033

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0990

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0982

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0916

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0898

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0888

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0888

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0874

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0749

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0728

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0601

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0553

Cluster X0046

log Bayes Factor = 387.972

contains 16 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`)