TreeWAS – [Z99.9] Dependence on unspecified enabling machine and device

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
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.695	0.305	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.695	0.305	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.666	0.334	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.621	0.378	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.617	0.383	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.601	0.399	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.589	0.411	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.571	0.429	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.570	0.430	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.560	0.440	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.550	0.450	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.546	0.453	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.537	0.462	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.537	0.463	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.537	0.463	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.535	0.465	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.533	0.467	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.530	0.470	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.527	0.473	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.520	0.479	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.511	0.489	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.493	0.506
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.499	0.500	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.494	0.505	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.494	0.506	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.489	0.511	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.485	0.515	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.472	0.527	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.471	0.529	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.464	0.535	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.453	0.547	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.448	0.552	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.441	0.558	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.411	0.588	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.405	0.595	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.405	0.595	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.397	0.603	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.396	0.604	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.391	0.609	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.381	0.619	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.379	0.621	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.368	0.632	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.361	0.639	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.356	0.644	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.355	0.645	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.348	0.652	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.332	0.668	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.318	0.682	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.315	0.685	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.312	0.688	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.303	0.696	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.300	0.700	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.297	0.703	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.296	0.704	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.293	0.707	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.289	0.711	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.271	0.729	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.264	0.736	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.235	0.765	0.001
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.226	0.774	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.216	0.784	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.213	0.787	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.210	0.790	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.209	0.791	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.201	0.799	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.178	0.821	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.162	0.838	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.151	0.848	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.148	0.852	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.134	0.866	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.131	0.869	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.125	0.875	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.124	0.876	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.108	0.892	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.107	0.893	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.105	0.894	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.102	0.898	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.920	0.080
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.070	0.930	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.068	0.932	0.000
rs1379326 lBF = `-0.0103528` Chr`8` : `4,617,810`	0.000	0.932	0.068
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.059	0.940	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.051	0.948	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.042	0.958	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.041	0.959	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
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.035	0.965	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.035	0.965	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.032	0.968	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.032	0.968	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.027	0.973	0.000
rs6999859 lBF = `-0.00609449` Chr`8` : `80,691,469`	0.025	0.975	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.024	0.976	0.000
rs7833787 lBF = `0.110086` Chr`8` : `18,707,871`	0.000	0.977	0.022
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.021	0.979	0.000
rs6984449 lBF = `-0.0801544` Chr`8` : `19,327,959`	0.000	0.980	0.020
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.019	0.981	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.018	0.982	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.017	0.983	0.000
rs11985561 lBF = `0.34567` Chr`8` : `3,452,262`	0.017	0.983	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.015	0.985	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.014	0.985	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.013	0.987	0.001
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.013	0.987	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.013	0.987	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.012	0.988	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.012	0.988	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.011	0.989	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.011	0.989	0.000
rs4735738 lBF = `0.0576628` Chr`8` : `77,611,625`	0.010	0.989	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.990	0.010
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs6558872 lBF = `0.0438285` Chr`8` : `4,238,139`	0.009	0.991	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.009	0.991	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.007	0.993	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.007	0.993	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.006	0.994	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.006	0.994	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.005	0.994	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.005	0.995	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.005	0.995	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.005	0.995	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.004	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.004	0.996	0.000
rs7846606 lBF = `0.0546693` Chr`8` : `77,507,613`	0.004	0.996	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.004	0.996	0.000
rs7014900 lBF = `-0.0607973` Chr`8` : `115,578,307`	0.004	0.996	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.004	0.996	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	0.996	0.004
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs7832232 lBF = `0.38776` Chr`8` : `38,469,303`	0.000	0.997	0.003
rs12679556 lBF = `0.196355` Chr`8` : `72,514,228`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs10492294 lBF = `0.192993` Chr`8` : `129,246,415`	0.003	0.997	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs10090117 lBF = `-0.0627887` Chr`8` : `18,381,235`	0.000	0.997	0.003
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.003	0.997	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.002	0.997	0.000
rs16886173 lBF = `-0.0385252` Chr`8` : `115,620,460`	0.002	0.997	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.997	0.002
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs2121904 lBF = `5.84292` Chr`8` : `109,379,633`	0.000	0.998	0.002
rs891835 lBF = `-0.0306317` Chr`8` : `130,491,752`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.002	0.998	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.002	0.998	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.002	0.998	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.002	0.998	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.002	0.998	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs2272651 lBF = `0.581321` Chr`8` : `134,270,548`	0.002	0.998	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.001	0.998	0.000
rs7844647 lBF = `1.14055` Chr`8` : `34,503,776`	0.000	0.998	0.001
rs12542759 lBF = `-0.0740763` Chr`8` : `133,034,837`	0.001	0.998	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.001	0.998	0.000
rs16894459 lBF = `0.0605727` Chr`8` : `97,327,679`	0.001	0.998	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.001	0.998	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.001	0.999	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.001	0.999	0.000
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.001	0.999	0.000
rs6473383 lBF = `-0.0244863` Chr`8` : `83,669,120`	0.001	0.999	0.000
rs7815720 lBF = `0.203389` Chr`8` : `118,089,513`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs13272623 lBF = `0.830413` Chr`8` : `71,544,748`	0.001	0.999	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs2517388 lBF = `0.210378` Chr`8` : `37,977,732`	0.000	0.999	0.001
rs10097215 lBF = `-0.0245582` Chr`8` : `2,506,899`	0.001	0.999	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.000	0.999	0.001
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
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
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.001	0.999	0.000
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	0.999	0.001
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
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
rs143335239 lBF = `0` Chr`8` : `6,500,809`	0.001	0.999	0.001
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rs2221894 lBF = `-0.0862574` Chr`8` : `28,791,159`	0.000	0.999	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.000	1.000	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.000	1.000	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	1.000	0.000
rs515071 lBF = `7.87657` Chr`8` : `41,519,462`	0.000	1.000	0.000
rs4921914 lBF = `1.67362` Chr`8` : `18,272,438`	0.000	1.000	0.000
rs1495741 lBF = `1.19235` Chr`8` : `18,272,881`	0.000	1.000	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs17091905 lBF = `0.274818` Chr`8` : `19,849,757`	0.000	1.000	0.000
rs11995854 lBF = `0.120065` Chr`8` : `129,220,073`	0.000	1.000	0.000
rs2575029 lBF = `0.0877916` Chr`8` : `31,174,830`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	1.000	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	1.000	0.000
rs201466262 lBF = `-0.00045314` Chr`8` : `52,407,936`	0.000	1.000	0.000
rs189798 lBF = `-0.0122038` Chr`8` : `8,990,577`	0.000	1.000	0.000
rs5029317 lBF = `-0.0208752` Chr`8` : `129,126,853`	0.000	1.000	0.000
rs16918254 lBF = `-0.0365552` Chr`8` : `53,769,213`	0.000	1.000	0.000
rs17737465 lBF = `-0.114243` Chr`8` : `98,154,441`	0.000	1.000	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.000	1.000	0.000
rs516946 lBF = `7.57641` Chr`8` : `41,519,248`	0.000	1.000	0.000
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.000	1.000	0.000
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.000	1.000	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	1.000	0.000
rs6985109 lBF = `5.33563` Chr`8` : `10,761,585`	0.000	1.000	0.000
rs10096633 lBF = `4.10153` Chr`8` : `19,830,921`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs17410962 lBF = `2.05556` Chr`8` : `19,848,080`	0.000	1.000	0.000
rs4295623 lBF = `0.788904` Chr`8` : `11,522,784`	0.000	1.000	0.000
rs17766217 lBF = `0.572149` Chr`8` : `128,504,497`	0.000	1.000	0.000
rs12545912 lBF = `0.193794` Chr`8` : `9,601,699`	0.000	1.000	0.000
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.000	1.000	0.000
rs7812879 lBF = `0.0541953` Chr`8` : `11,340,181`	0.000	1.000	0.000
rs2287654 lBF = `0.0468666` Chr`8` : `47,947,701`	0.000	1.000	0.000
rs2638663 lBF = `0.0226118` Chr`8` : `18,673,731`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs4590408 lBF = `0.0164474` Chr`8` : `96,106,037`	0.000	1.000	0.000
rs11136341 lBF = `0.0141972` Chr`8` : `145,043,543`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs16936870 lBF = `0.00222212` Chr`8` : `71,189,342`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	1.000	0.000
rs10955971 lBF = `-0.0698141` Chr`8` : `121,376,346`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.000	1.000	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	1.000	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.000	1.000	0.000
rs1059611 lBF = `3.30576` Chr`8` : `19,824,563`	0.000	1.000	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.000	1.000	0.000
rs4921915 lBF = `0.945068` Chr`8` : `18,272,466`	0.000	1.000	0.000
rs4921913 lBF = `0.911956` Chr`8` : `18,272,377`	0.000	1.000	0.000
rs4601292 lBF = `0.0604848` Chr`8` : `66,851,731`	0.000	1.000	0.000
rs55705857 lBF = `0.0449335` Chr`8` : `130,645,692`	0.000	1.000	0.000
rs7836436 lBF = `0.0421154` Chr`8` : `121,006,828`	0.000	1.000	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs2407103 lBF = `-0.00622844` Chr`8` : `36,951,914`	0.000	1.000	0.000
rs10110287 lBF = `-0.00831101` Chr`8` : `21,487,130`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.000	1.000	0.000
rs2218488 lBF = `-0.0211408` Chr`8` : `72,263,956`	0.000	1.000	0.000
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.000	1.000	0.000
rs11987678 lBF = `-0.0283536` Chr`8` : `81,228,826`	0.000	1.000	0.000
rs7008026 lBF = `-0.0355462` Chr`8` : `70,950,280`	0.000	1.000	0.000
rs2290416 lBF = `-0.0455999` Chr`8` : `144,657,600`	0.000	1.000	0.000
rs1487141 lBF = `-0.0502364` Chr`8` : `32,139,652`	0.000	1.000	0.000
rs1504749 lBF = `-0.055441` Chr`8` : `55,310,711`	0.000	1.000	0.000
rs62494762 lBF = `-0.0668579` Chr`8` : `5,373,540`	0.000	1.000	0.000
rs58810682 lBF = `-0.0694024` Chr`8` : `43,695,234`	0.000	1.000	0.000
rs1481757 lBF = `-0.0757042` Chr`8` : `31,967,958`	0.000	1.000	0.000
rs6998277 lBF = `-0.0997472` Chr`8` : `103,639,941`	0.000	1.000	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.000	1.000	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	1.000	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	1.000	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.000	1.000	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.000	1.000	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.000	1.000	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	1.000	0.000
rs7841189 lBF = `1.77779` Chr`8` : `19,845,376`	0.000	1.000	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.000	1.000	0.000
rs35246381 lBF = `0.953004` Chr`8` : `18,272,535`	0.000	1.000	0.000
rs7006821 lBF = `0.750614` Chr`8` : `72,270,082`	0.000	1.000	0.000
rs10503253 lBF = `0.605522` Chr`8` : `4,180,844`	0.000	1.000	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	1.000	0.000
rs4545046 lBF = `0.327938` Chr`8` : `27,556,526`	0.000	1.000	0.000
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.000	1.000	0.000
rs804280 lBF = `0.196526` Chr`8` : `11,612,698`	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

0.5840

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5009

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7168

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7167

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7167

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7166

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7166

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7166

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7165

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7165

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7164

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7164

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7163

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7163

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7163

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7162

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7162

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7159

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7159

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7151

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7133

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7116

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7112

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7110

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7093

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7090

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7086

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7077

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7076

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7070

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7062

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7056

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7047

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7036

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7027

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7025

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7022

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7010

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6995

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6990

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6969

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6960

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6958

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6941

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6932

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6890

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6887

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6886

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6859

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6801

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6762

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6755

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6728

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6678

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6662

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6650

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6616

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6613

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6613

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6600

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6587

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6564

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6543

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6382

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6332

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6315

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6253

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6210

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6210

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6167

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6081

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5967

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5884

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5630

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5601

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5586

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5471

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5440

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5407

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5285

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5123

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5106

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5104

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4846

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4562

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4342

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4217

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4205

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4107

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4037

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4030

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3924

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3732

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3652

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3075

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2911

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2558

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2138

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2099

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2069

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1968

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1901

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1832

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1813

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1794

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1748

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1700

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1585

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1554

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1446

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1400

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1310

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1308

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1179

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1104

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0957

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0900

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0821

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0722

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0633

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0610

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0574

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0534

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`)