TreeWAS – [Z90.0] Acquired absence of part of head and neck

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
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.855	0.145	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.782	0.218	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.744	0.256	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.730	0.270	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.715	0.285	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.713	0.287	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.707	0.293	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.706	0.294	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.680	0.320	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.672	0.328	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.662	0.338	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.660	0.340	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.648	0.352	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.630	0.370	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.615	0.385	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.604	0.396	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.432	0.568
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.559	0.441	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.555	0.445	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.555	0.445	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.511	0.489	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.494	0.506	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.481	0.519	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.455	0.545	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.452	0.548	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.562	0.437
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.433	0.567	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.426	0.573	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.407	0.592	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.382	0.618	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.382	0.618	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.380	0.620	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.374	0.626	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.358	0.642	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.347	0.653	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.319	0.681	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.309	0.691	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.294	0.706	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.291	0.709	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.291	0.709	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.287	0.713	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.272	0.728	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.265	0.735	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.256	0.744	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.245	0.755	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.240	0.759	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.232	0.768	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.232	0.768	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.229	0.771	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.228	0.772	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.217	0.783	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.213	0.786	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.197	0.803	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.189	0.811	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.188	0.812	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.185	0.815	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.182	0.818	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.180	0.820	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.175	0.825	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.172	0.828	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.163	0.837	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.148	0.852	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.147	0.853	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.146	0.854	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.133	0.867	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.123	0.876	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.123	0.877	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.119	0.881	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.112	0.888	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.100	0.900	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.095	0.905	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.087	0.912	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.918	0.082
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.081	0.919	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.081	0.919	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.074	0.926	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.072	0.928	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.068	0.932	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.063	0.937	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.061	0.938	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.061	0.939	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.057	0.943	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.055	0.944	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.049	0.951	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.044	0.956	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.039	0.961	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.038	0.962	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.036	0.964	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.035	0.965	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.028	0.971	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.026	0.974	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.025	0.975	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.020	0.980	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.986	0.014
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.014	0.986	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.013	0.987	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	0.988	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`	0.010	0.990	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.009	0.991	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.009	0.991	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	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
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.007	0.993	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.006	0.994	0.000
rs13272236 lBF = `-0.0471007` Chr`8` : `51,384,987`	0.000	0.995	0.005
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.005	0.995	0.000
rs515071 lBF = `7.87657` Chr`8` : `41,519,462`	0.000	0.995	0.005
rs516946 lBF = `7.57641` Chr`8` : `41,519,248`	0.000	0.995	0.005
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.004	0.995	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.004	0.996	0.000
rs959695 lBF = `-0.0580729` Chr`8` : `100,835,182`	0.004	0.996	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.004	0.996	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.003	0.997	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.003	0.997	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.000	0.997	0.003
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs13272568 lBF = `-0.0313162` Chr`8` : `79,034,459`	0.000	0.997	0.003
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.997	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.002	0.997	0.000
rs10104895 lBF = `0.0572234` Chr`8` : `61,876,044`	0.002	0.997	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.998	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.002	0.998	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.002	0.998	0.000
rs7845056 lBF = `-0.0518936` Chr`8` : `143,020,731`	0.002	0.998	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.002	0.998	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.002	0.998	0.000
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	0.001	0.998	0.000
rs17057051 lBF = `0.0233128` Chr`8` : `27,227,554`	0.000	0.998	0.002
rs11778329 lBF = `0.077655` Chr`8` : `49,053,165`	0.002	0.998	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.002	0.998	0.000
rs978152 lBF = `-0.0405618` Chr`8` : `133,369,094`	0.002	0.998	0.000
rs36116061 lBF = `0.0224256` Chr`8` : `89,373,327`	0.000	0.998	0.002
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.999	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.000	0.999	0.001
rs2511714 lBF = `-0.110272` Chr`8` : `103,578,874`	0.001	0.999	0.000
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
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs62494762 lBF = `-0.0668579` Chr`8` : `5,373,540`	0.000	0.999	0.001
rs13272623 lBF = `0.830413` Chr`8` : `71,544,748`	0.000	0.999	0.001
rs7837688 lBF = `15.6076` Chr`8` : `128,539,360`	0.000	0.999	0.001
rs4876662 lBF = `0.186551` Chr`8` : `117,556,270`	0.000	0.999	0.001
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.999	0.001
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs2129782 lBF = `-0.0095127` Chr`8` : `89,459,234`	0.000	0.999	0.001
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.001	0.999	0.000
rs1517114 lBF = `-0.11314` Chr`8` : `69,389,217`	0.000	0.999	0.001
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.001	0.999	0.000
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.001	0.999	0.000
rs2616984 lBF = `0.220998` Chr`8` : `4,483,141`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.001	0.999	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	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
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
rs7814403 lBF = `0.775744` Chr`8` : `36,459,454`	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
rs188858915 lBF = `0` Chr`8` : `6,494,833`	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
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
rs182115318 lBF = `0` Chr`8` : `25,128,723`	0.001	0.999	0.001
rs16902104 lBF = `0` Chr`8` : `128,340,908`	0.001	0.999	0.001
rs182302106 lBF = `0` Chr`8` : `1,455,175`	0.001	0.999	0.001
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rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs13340561 lBF = `-0.00345309` Chr`8` : `16,058,905`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs7818688 lBF = `-0.0221357` Chr`8` : `96,024,082`	0.000	1.000	0.000
rs10503672 lBF = `-0.0327502` Chr`8` : `19,987,703`	0.000	1.000	0.000
rs3134353 lBF = `-0.038683` Chr`8` : `101,947,453`	0.000	1.000	0.000
rs2840445 lBF = `-0.050982` Chr`8` : `5,764,942`	0.000	1.000	0.000
rs1442407 lBF = `-0.0522984` Chr`8` : `3,091,584`	0.000	1.000	0.000
rs2882926 lBF = `-0.0585463` Chr`8` : `63,621,569`	0.000	1.000	0.000
rs4534106 lBF = `-0.0730172` Chr`8` : `108,789,816`	0.000	1.000	0.000
rs12548021 lBF = `-0.0827183` Chr`8` : `29,344,462`	0.000	1.000	0.000
rs12541635 lBF = `-0.100957` Chr`8` : `107,090,000`	0.000	1.000	0.000
rs6991952 lBF = `35.6205` Chr`8` : `25,707,412`	0.000	1.000	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.000	1.000	0.000
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.000	1.000	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.000	1.000	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.000	1.000	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.000	1.000	0.000
rs2722425 lBF = `0.210439` Chr`8` : `40,484,239`	0.000	1.000	0.000
rs501344 lBF = `0.0780619` Chr`8` : `103,114,573`	0.000	1.000	0.000
rs4909801 lBF = `0.00751066` Chr`8` : `135,879,159`	0.000	1.000	0.000
rs1671400 lBF = `-0.00901045` Chr`8` : `13,176,407`	0.000	1.000	0.000
rs7823498 lBF = `-0.037933` Chr`8` : `32,403,573`	0.000	1.000	0.000
rs2926702 lBF = `-0.0508769` Chr`8` : `71,167,994`	0.000	1.000	0.000
rs3864663 lBF = `-0.0649529` Chr`8` : `78,680,349`	0.000	1.000	0.000
rs2954020 lBF = `28.9243` Chr`8` : `126,481,952`	0.000	1.000	0.000
rs4242384 lBF = `18.3481` Chr`8` : `128,518,554`	0.000	1.000	0.000
rs1447295 lBF = `15.7554` Chr`8` : `128,485,038`	0.000	1.000	0.000
rs320 lBF = `15.1988` Chr`8` : `19,819,077`	0.000	1.000	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs2683295 lBF = `0.469924` Chr`8` : `19,077,830`	0.000	1.000	0.000
rs4427170 lBF = `0.403292` Chr`8` : `14,853,781`	0.000	1.000	0.000
rs6984242 lBF = `0.160784` Chr`8` : `60,700,469`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs160451 lBF = `0.013616` Chr`8` : `90,662,941`	0.000	1.000	0.000
rs160441 lBF = `0.00901776` Chr`8` : `90,656,988`	0.000	1.000	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	1.000	0.000
rs73229090 lBF = `0.00150645` Chr`8` : `27,442,127`	0.000	1.000	0.000
rs11776272 lBF = `-0.0067885` Chr`8` : `21,884,544`	0.000	1.000	0.000
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	1.000	0.000
rs76070545 lBF = `-0.010697` Chr`8` : `104,371,447`	0.000	1.000	0.000
rs11782652 lBF = `-0.0242561` Chr`8` : `82,653,644`	0.000	1.000	0.000
rs36056951 lBF = `-0.0362417` Chr`8` : `139,965,798`	0.000	1.000	0.000
rs16918254 lBF = `-0.0365552` Chr`8` : `53,769,213`	0.000	1.000	0.000
rs977396 lBF = `-0.0388677` Chr`8` : `105,992,696`	0.000	1.000	0.000
rs2736871 lBF = `-0.0663409` Chr`8` : `134,475,077`	0.000	1.000	0.000
rs7840202 lBF = `-0.0841914` Chr`8` : `103,308,400`	0.000	1.000	0.000
rs6468852 lBF = `-0.0911449` Chr`8` : `103,975,989`	0.000	1.000	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	1.000	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.000	1.000	0.000
rs10503773 lBF = `5.9692` Chr`8` : `25,602,217`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs7461360 lBF = `1.91134` Chr`8` : `68,678,150`	0.000	1.000	0.000
rs4506170 lBF = `1.56706` Chr`8` : `128,323,891`	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
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.000	1.000	0.000
rs73201717 lBF = `0.712049` Chr`8` : `16,682,746`	0.000	1.000	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	1.000	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.000	1.000	0.000
rs6472866 lBF = `0.248813` Chr`8` : `75,513,134`	0.000	1.000	0.000
rs7834018 lBF = `0.188881` Chr`8` : `72,561,742`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs7005380 lBF = `0.0580762` Chr`8` : `120,953,873`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs16936870 lBF = `0.00222212` Chr`8` : `71,189,342`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs17749211 lBF = `-0.00886405` Chr`8` : `119,391,409`	0.000	1.000	0.000
rs6468049 lBF = `-0.00898003` Chr`8` : `31,342,467`	0.000	1.000	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	1.000	0.000
rs6992848 lBF = `-0.0418827` Chr`8` : `141,150,169`	0.000	1.000	0.000
rs10089517 lBF = `-0.0568592` Chr`8` : `60,178,721`	0.000	1.000	0.000
rs2163870 lBF = `-0.0891177` Chr`8` : `108,377,901`	0.000	1.000	0.000
rs4276643 lBF = `-0.119684` Chr`8` : `27,803,599`	0.000	1.000	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	1.000	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	1.000	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.000	1.000	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	1.000	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.000	1.000	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.000	1.000	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	1.000	0.000
rs12541491 lBF = `3.13816` Chr`8` : `10,250,048`	0.000	1.000	0.000
rs17666538 lBF = `0.3659` Chr`8` : `566,207`	0.000	1.000	0.000
rs2859998 lBF = `0.145979` Chr`8` : `59,324,162`	0.000	1.000	0.000
rs7004633 lBF = `0.137936` Chr`8` : `89,760,311`	0.000	1.000	0.000
rs13273073 lBF = `0.0632457` Chr`8` : `23,584,226`	0.000	1.000	0.000
rs75545078 lBF = `0.0217198` Chr`8` : `122,950,878`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	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

0.6728

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4747

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9960

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9950

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9849

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9799

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9798

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9730

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9702

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9661

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9526

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9490

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9349

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9336

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9266

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9226

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9183

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9145

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8973

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8972

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8777

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8729

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8688

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8513

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8479

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8338

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8337

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8210

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8195

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8165

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8094

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7844

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7690

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7612

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7573

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7460

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7436

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7393

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7380

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7374

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7232

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7001

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6806

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6742

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6730

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6688

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6622

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6498

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6324

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6289

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6281

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6231

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5546

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5321

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4870

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4819

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4810

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4575

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4508

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4469

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4449

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4391

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3458

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3335

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3198

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3168

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2862

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2841

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2804

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2675

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2627

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2418

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2373

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2349

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1854

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1568

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1438

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1346

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1283

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0969

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0739

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0710

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0680

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0677

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0671

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0650

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0626

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0611

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0555

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0519

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`)