TreeWAS – [Z85.9] Personal history of malignant neoplasm, unspecified

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
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.777	0.223	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.748	0.252	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.741	0.259	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.716	0.284	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.713	0.287	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.713	0.287	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.708	0.292	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.705	0.295	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.687	0.312	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.664	0.336	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.655	0.345	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.641	0.359	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.639	0.361	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.376	0.623
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.617	0.382	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.571	0.429	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.567	0.433	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.524	0.476	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.515	0.485	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.499	0.500	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.481	0.519	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.412	0.588	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.372	0.628	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.363	0.637	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.358	0.642	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.333	0.667	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.328	0.671	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.312	0.688	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.299	0.701	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.278	0.722	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.271	0.729	0.001
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.233	0.767	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.230	0.770	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.213	0.787	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.204	0.796	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.195	0.804	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.194	0.806	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.191	0.809	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.185	0.815	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.178	0.821	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.174	0.826	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.172	0.828	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.164	0.835	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.155	0.844	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.155	0.845	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.147	0.853	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.146	0.854	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.141	0.859	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.138	0.862	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.135	0.865	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.134	0.866	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.132	0.868	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.132	0.868	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.130	0.870	0.000
rs16902094 lBF = `2.51795` Chr`8` : `128,320,346`	0.130	0.870	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.117	0.882	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.114	0.886	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.108	0.892	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.108	0.892	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.093	0.907	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.091	0.909	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.085	0.915	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.082	0.918	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.919	0.080
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.065	0.935	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.059	0.941	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.059	0.941	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.057	0.943	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.054	0.945	0.000
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.000	0.947	0.053
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.051	0.949	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.049	0.951	0.001
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.048	0.952	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.047	0.953	0.000
rs4506170 lBF = `1.56706` Chr`8` : `128,323,891`	0.046	0.954	0.000
rs622856 lBF = `8.44713` Chr`8` : `128,333,180`	0.000	0.955	0.045
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.000	0.956	0.044
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.042	0.957	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.042	0.958	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.041	0.959	0.000
rs445114 lBF = `7.32631` Chr`8` : `128,323,181`	0.000	0.960	0.040
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.039	0.961	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.000	0.961	0.039
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.035	0.965	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.035	0.965	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.029	0.971	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.027	0.972	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.026	0.973	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.025	0.975	0.000
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.024	0.976	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.023	0.976	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.023	0.977	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.022	0.978	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.021	0.979	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.020	0.980	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.020	0.980	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.019	0.981	0.000
rs4242384 lBF = `18.3481` Chr`8` : `128,518,554`	0.018	0.982	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.015	0.985	0.000
rs11986220 lBF = `18.5256` Chr`8` : `128,531,689`	0.000	0.986	0.014
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.014	0.986	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.014	0.986	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.013	0.986	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.000	0.987	0.013
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.987	0.013
rs7837688 lBF = `15.6076` Chr`8` : `128,539,360`	0.012	0.987	0.000
rs1447295 lBF = `15.7554` Chr`8` : `128,485,038`	0.012	0.988	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.012	0.988	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.012	0.988	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.012	0.988	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.010	0.990	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.009	0.991	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.009	0.991	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.009	0.991	0.000
rs2169387 lBF = `1.29327` Chr`8` : `9,181,395`	0.009	0.991	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.008	0.991	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.007	0.993	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.993	0.000
rs13255292 lBF = `4.14008` Chr`8` : `129,076,573`	0.006	0.994	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.006	0.994	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.005	0.995	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.005	0.995	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.004	0.996	0.000
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.000	0.996	0.004
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.004	0.996	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.004	0.996	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.004	0.996	0.000
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
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.003	0.997	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.003	0.997	0.000
rs13254990 lBF = `3.78886` Chr`8` : `129,076,451`	0.003	0.997	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.003	0.997	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.002	0.997	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.002	0.998	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.998	0.000
rs501344 lBF = `0.0780619` Chr`8` : `103,114,573`	0.002	0.998	0.000
rs4625043 lBF = `0.912167` Chr`8` : `24,533,193`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs2622633 lBF = `-0.109404` Chr`8` : `106,509,975`	0.002	0.998	0.000
rs11992171 lBF = `9.07246` Chr`8` : `128,529,933`	0.001	0.998	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.001	0.998	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.001	0.998	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.001	0.998	0.000
rs4360309 lBF = `7.7722` Chr`8` : `126,523,523`	0.002	0.998	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.001	0.999	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.001	0.999	0.000
rs1604897 lBF = `-0.0224457` Chr`8` : `122,182,310`	0.000	0.999	0.001
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs12541437 lBF = `-0.072864` Chr`8` : `117,918,897`	0.001	0.999	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.001	0.999	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs7463256 lBF = `-0.098473` Chr`8` : `23,101,620`	0.001	0.999	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.000	0.999	0.001
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs2272651 lBF = `0.581321` Chr`8` : `134,270,548`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs4735692 lBF = `-0.00154777` Chr`8` : `76,615,663`	0.000	0.999	0.001
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	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
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
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
rs79781504 lBF = `0` Chr`8` : `84,750,057`	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
rs187636186 lBF = `0` Chr`8` : `73,002,468`	0.001	0.999	0.001
rs141395649 lBF = `0` Chr`8` : `6,498,690`	0.001	0.999	0.001
rs114258913 lBF = `0` Chr`8` : `93,525,403`	0.001	0.999	0.001
rs114252942 lBF = `0` Chr`8` : `6,202,964`	0.001	0.999	0.001
rs116129203 lBF = `0` Chr`8` : `6,779,323`	0.001	0.999	0.001
rs144424757 lBF = `0` Chr`8` : `12,929,793`	0.001	0.999	0.001
rs150435906 lBF = `0` Chr`8` : `66,864,338`	0.001	0.999	0.001
rs11989122 lBF = `0` Chr`8` : `118,827,839`	0.001	0.999	0.001
rs11986011 lBF = `0` Chr`8` : `127,332,657`	0.001	0.999	0.001
rs191631123 lBF = `0` Chr`8` : `32,443,704`	0.001	0.999	0.001
rs4128527 lBF = `0` Chr`8` : `72,682,693`	0.001	0.999	0.001
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rs10504543 lBF = `-0.105699` Chr`8` : `73,778,642`	0.000	1.000	0.000
rs1870805 lBF = `-0.10755` Chr`8` : `140,995,243`	0.000	1.000	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.000	1.000	0.000
rs7000782 lBF = `2.68223` Chr`8` : `81,308,150`	0.000	1.000	0.000
rs1478898 lBF = `1.07653` Chr`8` : `11,395,079`	0.000	1.000	0.000
rs2722425 lBF = `0.210439` Chr`8` : `40,484,239`	0.000	1.000	0.000
rs17150703 lBF = `0.0696045` Chr`8` : `9,745,798`	0.000	1.000	0.000
rs9987128 lBF = `0.0345873` Chr`8` : `2,980,123`	0.000	1.000	0.000
rs3104964 lBF = `0.0342882` Chr`8` : `96,595,736`	0.000	1.000	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs11778693 lBF = `0.0184763` Chr`8` : `22,462,852`	0.000	1.000	0.000
rs2347503 lBF = `0.00629633` Chr`8` : `32,232,827`	0.000	1.000	0.000
rs10958605 lBF = `0.00350909` Chr`8` : `40,053,605`	0.000	1.000	0.000
rs11991744 lBF = `0.00178314` Chr`8` : `124,659,329`	0.000	1.000	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs17068510 lBF = `-0.00515294` Chr`8` : `3,863,111`	0.000	1.000	0.000
rs10110287 lBF = `-0.00831101` Chr`8` : `21,487,130`	0.000	1.000	0.000
rs2720499 lBF = `-0.052573` Chr`8` : `17,392,357`	0.000	1.000	0.000
rs517811 lBF = `-0.0666965` Chr`8` : `102,944,863`	0.000	1.000	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.000	1.000	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.000	1.000	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.000	1.000	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.000	1.000	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.000	1.000	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.000	1.000	0.000
rs2220321 lBF = `2.73724` Chr`8` : `127,911,596`	0.000	1.000	0.000
rs16868941 lBF = `0.561921` Chr`8` : `103,052,377`	0.000	1.000	0.000
rs11985561 lBF = `0.34567` Chr`8` : `3,452,262`	0.000	1.000	0.000
rs10492294 lBF = `0.192993` Chr`8` : `129,246,415`	0.000	1.000	0.000
rs2741200 lBF = `0.163349` Chr`8` : `134,071,833`	0.000	1.000	0.000
rs2014357 lBF = `0.0898175` Chr`8` : `133,103,290`	0.000	1.000	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	1.000	0.000
rs984440 lBF = `-0.0265342` Chr`8` : `139,077,728`	0.000	1.000	0.000
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	1.000	0.000
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	0.000	1.000	0.000
rs7822058 lBF = `-0.0416773` Chr`8` : `53,684,861`	0.000	1.000	0.000
rs1600249 lBF = `-0.0589275` Chr`8` : `11,359,638`	0.000	1.000	0.000
rs13253073 lBF = `-0.0602241` Chr`8` : `100,897,383`	0.000	1.000	0.000
rs4295627 lBF = `-0.0634004` Chr`8` : `130,685,457`	0.000	1.000	0.000
rs10090896 lBF = `-0.0659405` Chr`8` : `70,680,983`	0.000	1.000	0.000
rs1714746 lBF = `-0.0900439` Chr`8` : `4,105,147`	0.000	1.000	0.000
rs4072286 lBF = `-0.0969006` Chr`8` : `142,736,531`	0.000	1.000	0.000
rs9969524 lBF = `-0.0972992` Chr`8` : `88,746,846`	0.000	1.000	0.000
rs1015003 lBF = `-0.102741` Chr`8` : `37,096,059`	0.000	1.000	0.000
rs12681288 lBF = `-0.123687` Chr`8` : `1,035,152`	0.000	1.000	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs1296028 lBF = `2.87067` Chr`8` : `11,698,747`	0.000	1.000	0.000
rs4921913 lBF = `0.911956` Chr`8` : `18,272,377`	0.000	1.000	0.000
rs11135910 lBF = `0.678122` Chr`8` : `25,892,142`	0.000	1.000	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.000	1.000	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs2449215 lBF = `0.0947357` Chr`8` : `3,488,338`	0.000	1.000	0.000
rs2116078 lBF = `0.0847208` Chr`8` : `73,363,989`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs3115775 lBF = `0.0195883` Chr`8` : `118,707,726`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs56156301 lBF = `0.00794506` Chr`8` : `104,147,804`	0.000	1.000	0.000
rs1462872 lBF = `0.00560054` Chr`8` : `31,794,109`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.000	1.000	0.000
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.000	1.000	0.000
rs1027730 lBF = `-0.0319836` Chr`8` : `94,085,539`	0.000	1.000	0.000
rs2860223 lBF = `-0.0335866` Chr`8` : `134,668,677`	0.000	1.000	0.000
rs2926702 lBF = `-0.0508769` Chr`8` : `71,167,994`	0.000	1.000	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	1.000	0.000
rs10503887 lBF = `-0.0590776` Chr`8` : `31,633,447`	0.000	1.000	0.000
rs1909881 lBF = `-0.0599299` Chr`8` : `96,515,888`	0.000	1.000	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	1.000	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	1.000	0.000
rs7832357 lBF = `8.58116` Chr`8` : `126,516,197`	0.000	1.000	0.000
rs1016343 lBF = `7.41028` Chr`8` : `128,093,297`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	1.000	0.000
rs4733724 lBF = `4.55679` Chr`8` : `130,723,728`	0.000	1.000	0.000
rs6470764 lBF = `4.32028` Chr`8` : `130,725,665`	0.000	1.000	0.000
rs2062078 lBF = `4.27827` Chr`8` : `130,734,461`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs6601327 lBF = `1.76624` Chr`8` : `9,395,532`	0.000	1.000	0.000
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.000	1.000	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	1.000	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	1.000	0.000
rs2468186 lBF = `0.0833698` Chr`8` : `120,200,702`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs1425053 lBF = `0.0382757` Chr`8` : `120,212,990`	0.000	1.000	0.000
rs2736337 lBF = `0.0321259` Chr`8` : `11,341,880`	0.000	1.000	0.000
rs11787341 lBF = `0.0273871` Chr`8` : `19,102,564`	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 X0105

log Bayes Factor = 23.0031

contains 2 variants

0.7553

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5396

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1266

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9782

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9564

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9291

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9197

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9099

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9040

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9027

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8945

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8856

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8796

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8582

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.8565

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8500

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8361

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8331

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8173

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8038

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7994

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7884

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7832

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7665

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7648

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7483

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7103

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7081

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6865

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6687

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6582

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6466

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6446

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6345

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5814

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5511

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.4238

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4010

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3163

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2573

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2519

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2334

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2154

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2152

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2047

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1918

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1623

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1531

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1308

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1235

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1233

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1049

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1032

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1022

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0970

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0744

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0730

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0714

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0685

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0647

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0614

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0546

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0529

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`)