TreeWAS – [Z90.2] Acquired absence of lung [part of]

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
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.850	0.150	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.790	0.210	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.750	0.250	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.749	0.251	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.744	0.256	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.741	0.259	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.735	0.265	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.714	0.286	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.694	0.306	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.677	0.323	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.665	0.335	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.662	0.338	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.634	0.366	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.610	0.390	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.606	0.394	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.602	0.398	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.432	0.568
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.559	0.441	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.556	0.444	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.516	0.483	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.501	0.498	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.498	0.501	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.485	0.515	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.471	0.529	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.461	0.538	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.456	0.544	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.455	0.545	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.418	0.582	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.411	0.589	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.396	0.603	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.382	0.618	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.335	0.665	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.326	0.673	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.319	0.681	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.318	0.682	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.307	0.693	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.301	0.699	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.704	0.296
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.294	0.706	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.290	0.710	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.290	0.710	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.276	0.724	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.274	0.726	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.248	0.751	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.247	0.753	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.246	0.754	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.245	0.755	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.223	0.777	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.219	0.781	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.212	0.787	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.212	0.788	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.188	0.812	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.188	0.812	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.182	0.818	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.175	0.825	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.174	0.826	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.173	0.827	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.163	0.837	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.141	0.858	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.141	0.859	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.137	0.863	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.134	0.866	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.120	0.880	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.120	0.880	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.120	0.880	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.119	0.881	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.118	0.882	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.117	0.883	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.105	0.895	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.098	0.902	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.093	0.907	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.091	0.909	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.088	0.912	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.082	0.918	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.918	0.082
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.081	0.919	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.072	0.928	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.069	0.931	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.068	0.932	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.065	0.935	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.059	0.941	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.053	0.947	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.053	0.947	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.046	0.954	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.044	0.956	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.038	0.962	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.036	0.964	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.035	0.965	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.031	0.969	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.029	0.971	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.025	0.975	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.024	0.976	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.022	0.978	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.019	0.981	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.014	0.986	0.000
rs10112481 lBF = `-0.0145767` Chr`8` : `4,875,172`	0.014	0.986	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.013	0.987	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	0.987	0.013
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.988	0.012
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.011	0.989	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.009	0.991	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.009	0.991	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.009	0.991	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.008	0.992	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs6472235 lBF = `0.00248626` Chr`8` : `66,822,030`	0.007	0.993	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.007	0.993	0.000
rs1154053 lBF = `-0.0856882` Chr`8` : `4,285,390`	0.006	0.994	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.005	0.995	0.000
rs2741335 lBF = `-0.0522161` Chr`8` : `27,337,791`	0.000	0.995	0.005
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs7837688 lBF = `15.6076` Chr`8` : `128,539,360`	0.000	0.995	0.005
rs13272623 lBF = `0.830413` Chr`8` : `71,544,748`	0.000	0.995	0.005
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs263238 lBF = `0.00518041` Chr`8` : `131,812,033`	0.004	0.996	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.004	0.996	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.004	0.996	0.000
rs13272236 lBF = `-0.0471007` Chr`8` : `51,384,987`	0.000	0.996	0.004
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.000	0.996	0.004
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.004	0.996	0.000
rs1454292 lBF = `0.028062` Chr`8` : `4,926,465`	0.000	0.996	0.004
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.003	0.997	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.003	0.997	0.000
rs980238 lBF = `-0.0774097` Chr`8` : `4,282,618`	0.003	0.997	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.003	0.997	0.000
rs1594829 lBF = `-0.00694046` Chr`8` : `26,206,077`	0.003	0.997	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.003	0.997	0.000
rs4256596 lBF = `10.5421` Chr`8` : `25,689,123`	0.003	0.997	0.000
rs10104895 lBF = `0.0572234` Chr`8` : `61,876,044`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.997	0.000
rs5003154 lBF = `1.76117` Chr`8` : `81,986,953`	0.003	0.997	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.997	0.000
rs4875102 lBF = `-0.06731` Chr`8` : `4,284,692`	0.002	0.998	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.998	0.000
rs2163950 lBF = `-0.0149918` Chr`8` : `130,597,585`	0.002	0.998	0.000
rs10097669 lBF = `0.53036` Chr`8` : `4,437,465`	0.000	0.998	0.002
rs10958605 lBF = `0.00350909` Chr`8` : `40,053,605`	0.000	0.998	0.002
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	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
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.002	0.998	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.002	0.998	0.000
rs2688325 lBF = `-0.0870791` Chr`8` : `3,767,210`	0.002	0.998	0.000
rs12542743 lBF = `0.281699` Chr`8` : `32,318,355`	0.000	0.998	0.002
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.002	0.998	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.001	0.998	0.001
rs17262815 lBF = `0.0121145` Chr`8` : `130,491,165`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs2977125 lBF = `0.159036` Chr`8` : `12,773,256`	0.000	0.998	0.002
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.002	0.998	0.000
rs11776272 lBF = `-0.0067885` Chr`8` : `21,884,544`	0.000	0.998	0.002
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.002	0.998	0.000
rs7845127 lBF = `-0.0602147` Chr`8` : `18,067,395`	0.002	0.998	0.000
rs11986220 lBF = `18.5256` Chr`8` : `128,531,689`	0.002	0.998	0.000
rs6471393 lBF = `-0.102355` Chr`8` : `94,715,291`	0.002	0.998	0.000
rs10503773 lBF = `5.9692` Chr`8` : `25,602,217`	0.002	0.998	0.000
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.000	0.998	0.002
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.000	0.998	0.002
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.001	0.999	0.000
rs4242384 lBF = `18.3481` Chr`8` : `128,518,554`	0.000	0.999	0.001
rs678347 lBF = `0.117746` Chr`8` : `102,463,602`	0.001	0.999	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.001	0.999	0.000
rs12677056 lBF = `-0.0748839` Chr`8` : `113,422,382`	0.001	0.999	0.000
rs13271465 lBF = `-0.00893756` Chr`8` : `17,282,411`	0.000	0.999	0.001
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs6469488 lBF = `0.121984` Chr`8` : `114,885,432`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs2638663 lBF = `0.0226118` Chr`8` : `18,673,731`	0.000	0.999	0.001
rs9942773 lBF = `0.0229848` Chr`8` : `115,121,027`	0.001	0.999	0.000
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.001	0.999	0.000
rs7831697 lBF = `-0.0486747` Chr`8` : `138,136,304`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs6474412 lBF = `-0.0471785` Chr`8` : `42,550,498`	0.000	0.999	0.001
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.999	0.001
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.001	0.999	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs55798256 lBF = `-0.0624198` Chr`8` : `94,303,801`	0.001	0.999	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	0.999	0.001
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
rs263232 lBF = `-0.00009044` Chr`8` : `131,808,169`	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
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs17217757 lBF = `-0.0403255` Chr`8` : `106,613,321`	0.001	0.999	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.001	0.999	0.000
rs13256366 lBF = `5.2471` Chr`8` : `23,502,660`	0.000	0.999	0.001
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rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
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rs11775334 lBF = `-0.0733365` Chr`8` : `10,071,620`	0.000	1.000	0.000
rs6469804 lBF = `0.816679` Chr`8` : `120,044,829`	0.000	1.000	0.000
rs500816 lBF = `0.296843` Chr`8` : `20,803,103`	0.000	1.000	0.000
rs11782819 lBF = `0.0491903` Chr`8` : `10,334,781`	0.000	1.000	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.000	1.000	0.000
rs17749211 lBF = `-0.00886405` Chr`8` : `119,391,409`	0.000	1.000	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs2453452 lBF = `-0.0289907` Chr`8` : `87,879,043`	0.000	1.000	0.000
rs3923387 lBF = `-0.03853` Chr`8` : `144,986,793`	0.000	1.000	0.000
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.000	1.000	0.000
rs6990361 lBF = `-0.0418494` Chr`8` : `144,987,221`	0.000	1.000	0.000
rs326 lBF = `15.1404` Chr`8` : `19,819,439`	0.000	1.000	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	1.000	0.000
rs2169387 lBF = `1.29327` Chr`8` : `9,181,395`	0.000	1.000	0.000
rs12547604 lBF = `0.0948587` Chr`8` : `4,860,491`	0.000	1.000	0.000
rs13278732 lBF = `0.0490226` Chr`8` : `99,088,581`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs2439312 lBF = `-0.0253318` Chr`8` : `32,412,359`	0.000	1.000	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	1.000	0.000
rs6468049 lBF = `-0.00898003` Chr`8` : `31,342,467`	0.000	1.000	0.000
rs2514805 lBF = `-0.0377243` Chr`8` : `95,167,247`	0.000	1.000	0.000
rs977396 lBF = `-0.0388677` Chr`8` : `105,992,696`	0.000	1.000	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	1.000	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.000	1.000	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.000	1.000	0.000
rs2121630 lBF = `7.89046` Chr`8` : `128,478,160`	0.000	1.000	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.000	1.000	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.000	1.000	0.000
rs10956445 lBF = `0.167391` Chr`8` : `129,787,976`	0.000	1.000	0.000
rs6993813 lBF = `0.151365` Chr`8` : `120,052,238`	0.000	1.000	0.000
rs4735738 lBF = `0.0576628` Chr`8` : `77,611,625`	0.000	1.000	0.000
rs16939046 lBF = `0.0561149` Chr`8` : `76,147,954`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	1.000	0.000
rs77742018 lBF = `0.00312351` Chr`8` : `96,504,472`	0.000	1.000	0.000
rs7822239 lBF = `-0.00253758` Chr`8` : `133,119,961`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs10503672 lBF = `-0.0327502` Chr`8` : `19,987,703`	0.000	1.000	0.000
rs2851394 lBF = `-0.0364814` Chr`8` : `107,579,392`	0.000	1.000	0.000
rs17641971 lBF = `-0.0739026` Chr`8` : `49,884,817`	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
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.000	1.000	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.000	1.000	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.000	1.000	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.000	1.000	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs7819412 lBF = `2.31897` Chr`8` : `11,045,161`	0.000	1.000	0.000
rs35246381 lBF = `0.953004` Chr`8` : `18,272,535`	0.000	1.000	0.000
rs117933211 lBF = `0.115108` Chr`8` : `47,243,611`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs7461753 lBF = `0.00463652` Chr`8` : `144,981,498`	0.000	1.000	0.000
rs7823896 lBF = `0.00330636` Chr`8` : `110,217,266`	0.000	1.000	0.000
rs9772881 lBF = `0.00326542` Chr`8` : `142,878,259`	0.000	1.000	0.000
rs4735692 lBF = `-0.00154777` Chr`8` : `76,615,663`	0.000	1.000	0.000
rs56117011 lBF = `-0.00211625` Chr`8` : `144,999,642`	0.000	1.000	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs1065837 lBF = `-0.0132925` Chr`8` : `144,990,335`	0.000	1.000	0.000
rs310558 lBF = `-0.0142371` Chr`8` : `51,412,591`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs4738393 lBF = `-0.0579748` Chr`8` : `56,599,777`	0.000	1.000	0.000
rs7006687 lBF = `-0.0965045` Chr`8` : `18,233,582`	0.000	1.000	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.000	1.000	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	1.000	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.000	1.000	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.000	1.000	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.000	1.000	0.000
rs2162460 lBF = `5.78382` Chr`8` : `59,331,781`	0.000	1.000	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.000	1.000	0.000
rs13255292 lBF = `4.14008` Chr`8` : `129,076,573`	0.000	1.000	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	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
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs2287654 lBF = `0.0468666` Chr`8` : `47,947,701`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs35916068 lBF = `-0.00226273` Chr`8` : `144,999,684`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs2466104 lBF = `-0.0301253` Chr`8` : `32,410,712`	0.000	1.000	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	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

0.7993

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.5409

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4904

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9998

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9966

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9955

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9921

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9868

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9851

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9787

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9742

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9714

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9702

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9537

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9490

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9395

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9350

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9334

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9308

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9256

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9068

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9009

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8928

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8682

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8658

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8276

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8067

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7943

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7723

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7347

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7317

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7291

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7212

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7085

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6887

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6552

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6551

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6356

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6337

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5766

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5556

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5500

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5210

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4932

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4730

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4633

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4415

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4149

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4098

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3832

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3499

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3385

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3236

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3102

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3007

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2897

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2875

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2814

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2522

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2458

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1998

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1863

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1778

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1765

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1732

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1540

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1477

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1402

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1292

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1108

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0976

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0887

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0812

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0700

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0596

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0560

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0554

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`)