TreeWAS – [Z85.7] Personal history of other malignant neoplasms of lymphoid, haematopoietic and related tissues

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`	0.947	0.053	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.830	0.170	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.816	0.184	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.790	0.210	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.774	0.226	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.728	0.272	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.722	0.278	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.707	0.293	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.650	0.350	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.632	0.368	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.623	0.377	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.612	0.388	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.604	0.396	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.413	0.586
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.530	0.470	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.511	0.489	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.499	0.501	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.474	0.525	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.435	0.565	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.426	0.573	0.001
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.423	0.576	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.419	0.581	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.409	0.591	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.392	0.608	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.384	0.616	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.337	0.663	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.334	0.666	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.333	0.667	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.305	0.695	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.271	0.729	0.001
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.241	0.759	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`	0.219	0.781	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.194	0.806	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.188	0.812	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.187	0.813	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.185	0.815	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.181	0.819	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.171	0.829	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.167	0.833	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.162	0.838	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.156	0.844	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.156	0.844	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.153	0.847	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.147	0.853	0.000
rs16902094 lBF = `2.51795` Chr`8` : `128,320,346`	0.147	0.853	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.143	0.857	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.124	0.876	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.124	0.876	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.121	0.879	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.111	0.889	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.107	0.893	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.104	0.895	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.102	0.897	0.001
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.098	0.902	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.095	0.905	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.091	0.909	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.085	0.915	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.917	0.083
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.083	0.917	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.082	0.917	0.001
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.058	0.942	0.000
rs4506170 lBF = `1.56706` Chr`8` : `128,323,891`	0.058	0.942	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.053	0.947	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.049	0.951	0.001
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.048	0.952	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.000	0.953	0.047
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.044	0.956	0.000
rs13255292 lBF = `4.14008` Chr`8` : `129,076,573`	0.044	0.956	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.042	0.957	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.042	0.958	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.042	0.958	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.041	0.959	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.039	0.961	0.000
rs13254990 lBF = `3.78886` Chr`8` : `129,076,451`	0.038	0.962	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.037	0.963	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.034	0.965	0.000
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.000	0.966	0.034
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.033	0.966	0.000
rs2860223 lBF = `-0.0335866` Chr`8` : `134,668,677`	0.000	0.967	0.033
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.032	0.968	0.000
rs2608053 lBF = `2.60427` Chr`8` : `129,075,832`	0.030	0.970	0.000
rs622856 lBF = `8.44713` Chr`8` : `128,333,180`	0.000	0.970	0.030
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.030	0.970	0.000
rs445114 lBF = `7.32631` Chr`8` : `128,323,181`	0.000	0.972	0.028
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.023	0.976	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.023	0.977	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.022	0.977	0.001
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.023	0.977	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.021	0.979	0.000
rs2169387 lBF = `1.29327` Chr`8` : `9,181,395`	0.021	0.979	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.020	0.980	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.019	0.981	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.019	0.981	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.018	0.982	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.014	0.986	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.014	0.986	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.013	0.987	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.987	0.013
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.012	0.988	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.011	0.989	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.011	0.989	0.000
rs1693575 lBF = `-0.087782` Chr`8` : `101,682,777`	0.010	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.010	0.990	0.000
rs1264202 lBF = `0.00009129` Chr`8` : `102,227,923`	0.000	0.990	0.010
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.009	0.991	0.001
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.009	0.991	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.009	0.991	0.000
rs2126259 lBF = `0.0711624` Chr`8` : `9,185,146`	0.009	0.991	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.008	0.992	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.008	0.992	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.007	0.992	0.001
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.007	0.993	0.001
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.007	0.993	0.000
rs10090896 lBF = `-0.0659405` Chr`8` : `70,680,983`	0.000	0.993	0.007
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.007	0.993	0.000
rs1461729 lBF = `0.0670221` Chr`8` : `9,187,242`	0.007	0.993	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.993	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.006	0.994	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.006	0.994	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.006	0.994	0.000
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.006	0.994	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.006	0.994	0.000
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.005	0.994	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.005	0.994	0.001
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.005	0.995	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.005	0.995	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.004	0.996	0.000
rs4242384 lBF = `18.3481` Chr`8` : `128,518,554`	0.004	0.996	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	0.996	0.004
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.003	0.997	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs11989782 lBF = `-0.0632344` Chr`8` : `121,694,650`	0.000	0.997	0.003
rs11986220 lBF = `18.5256` Chr`8` : `128,531,689`	0.000	0.997	0.003
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.003	0.997	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.000	0.997	0.003
rs501344 lBF = `0.0780619` Chr`8` : `103,114,573`	0.000	0.997	0.003
rs1447295 lBF = `15.7554` Chr`8` : `128,485,038`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs9987289 lBF = `1.05596` Chr`8` : `9,183,358`	0.003	0.997	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.002	0.998	0.000
rs1906493 lBF = `-0.0772123` Chr`8` : `127,092,882`	0.002	0.998	0.000
rs7837688 lBF = `15.6076` Chr`8` : `128,539,360`	0.002	0.998	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.998	0.000
rs6557600 lBF = `-0.0758497` Chr`8` : `22,763,248`	0.000	0.998	0.002
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.002	0.998	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.002	0.998	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.002	0.998	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.002	0.998	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.002	0.998	0.000
rs4493873 lBF = `-0.0878362` Chr`8` : `92,075,643`	0.002	0.998	0.000
rs4077341 lBF = `1.2878` Chr`8` : `22,962,348`	0.002	0.998	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.002	0.998	0.000
rs4733781 lBF = `-0.00271699` Chr`8` : `131,296,767`	0.002	0.998	0.000
rs16904191 lBF = `-0.0662403` Chr`8` : `131,033,496`	0.002	0.998	0.000
rs2444896 lBF = `0.266119` Chr`8` : `99,022,009`	0.002	0.998	0.000
rs1106761 lBF = `0.249121` Chr`8` : `142,619,234`	0.000	0.998	0.002
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.998	0.000
rs2616978 lBF = `-0.0674609` Chr`8` : `4,478,344`	0.002	0.998	0.000
rs12546767 lBF = `-0.0108878` Chr`8` : `126,082,565`	0.002	0.998	0.000
rs2720499 lBF = `-0.052573` Chr`8` : `17,392,357`	0.000	0.998	0.002
rs4733789 lBF = `-0.019309` Chr`8` : `128,834,403`	0.002	0.998	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.001	0.999	0.000
rs4360309 lBF = `7.7722` Chr`8` : `126,523,523`	0.001	0.999	0.000
rs4737395 lBF = `-0.0158619` Chr`8` : `56,599,548`	0.000	0.999	0.001
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.001	0.999	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.001	0.999	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.001	0.999	0.000
rs13268726 lBF = `-0.0085601` Chr`8` : `126,013,134`	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
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.001	0.999	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	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
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.999	0.001
rs2945733 lBF = `0.110693` Chr`8` : `134,615,750`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs17126232 lBF = `-0.0593424` Chr`8` : `17,977,650`	0.001	0.999	0.000
rs1296028 lBF = `2.87067` Chr`8` : `11,698,747`	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
rs881301 lBF = `-0.0216293` Chr`8` : `38,332,318`	0.000	0.999	0.001
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
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rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	1.000	0.000
rs11781525 lBF = `0.0341254` Chr`8` : `125,721,366`	0.000	1.000	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	1.000	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	1.000	0.000
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	1.000	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	1.000	0.000
rs13254738 lBF = `-0.0366046` Chr`8` : `128,104,343`	0.000	1.000	0.000
rs12680655 lBF = `-0.0634072` Chr`8` : `135,637,337`	0.000	1.000	0.000
rs10958369 lBF = `-0.0743503` Chr`8` : `54,410,208`	0.000	1.000	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	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
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.000	1.000	0.000
rs853308 lBF = `1.42537` Chr`8` : `133,929,917`	0.000	1.000	0.000
rs1495743 lBF = `1.21496` Chr`8` : `18,273,300`	0.000	1.000	0.000
rs4921913 lBF = `0.911956` Chr`8` : `18,272,377`	0.000	1.000	0.000
rs1375785 lBF = `0.185641` Chr`8` : `83,991,231`	0.000	1.000	0.000
rs2944755 lBF = `0.0852789` Chr`8` : `141,574,194`	0.000	1.000	0.000
rs11777116 lBF = `0.029769` Chr`8` : `24,044,301`	0.000	1.000	0.000
rs73229090 lBF = `0.00150645` Chr`8` : `27,442,127`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs35820208 lBF = `-0.0322041` Chr`8` : `94,916,103`	0.000	1.000	0.000
rs4527850 lBF = `-0.0922114` Chr`8` : `134,196,849`	0.000	1.000	0.000
rs40457 lBF = `-0.0964489` Chr`8` : `90,823,687`	0.000	1.000	0.000
rs13266634 lBF = `14.9919` Chr`8` : `118,184,783`	0.000	1.000	0.000
rs515071 lBF = `7.87657` Chr`8` : `41,519,462`	0.000	1.000	0.000
rs516946 lBF = `7.57641` Chr`8` : `41,519,248`	0.000	1.000	0.000
rs1495741 lBF = `1.19235` Chr`8` : `18,272,881`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs7004633 lBF = `0.137936` Chr`8` : `89,760,311`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs2622590 lBF = `-0.0395154` Chr`8` : `56,358,274`	0.000	1.000	0.000
rs3793427 lBF = `-0.0555615` Chr`8` : `17,143,830`	0.000	1.000	0.000
rs13279485 lBF = `-0.0737486` Chr`8` : `1,883,352`	0.000	1.000	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs4921914 lBF = `1.67362` Chr`8` : `18,272,438`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs7815720 lBF = `0.203389` Chr`8` : `118,089,513`	0.000	1.000	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs284491 lBF = `0.0426404` Chr`8` : `105,958,633`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	0.000	1.000	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.000	1.000	0.000
rs9918807 lBF = `-0.0613929` Chr`8` : `130,676,639`	0.000	1.000	0.000
rs12541335 lBF = `-0.0974774` Chr`8` : `22,088,432`	0.000	1.000	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	1.000	0.000
rs10503253 lBF = `0.605522` Chr`8` : `4,180,844`	0.000	1.000	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	1.000	0.000
rs58605417 lBF = `0.0597869` Chr`8` : `89,294,322`	0.000	1.000	0.000
rs2738058 lBF = `0.0417711` Chr`8` : `6,821,617`	0.000	1.000	0.000
rs4876199 lBF = `0.0206282` Chr`8` : `2,176,910`	0.000	1.000	0.000
rs3115775 lBF = `0.0195883` Chr`8` : `118,707,726`	0.000	1.000	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	1.000	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	1.000	0.000
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs7003257 lBF = `-0.0304051` Chr`8` : `68,613,390`	0.000	1.000	0.000
rs17685410 lBF = `-0.0559858` Chr`8` : `2,113,776`	0.000	1.000	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.000	1.000	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.000	1.000	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.000	1.000	0.000
rs2162460 lBF = `5.78382` Chr`8` : `59,331,781`	0.000	1.000	0.000
rs6469488 lBF = `0.121984` Chr`8` : `114,885,432`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs72663955 lBF = `-0.00745377` Chr`8` : `71,139,330`	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
rs733254 lBF = `-0.0377205` Chr`8` : `135,638,632`	0.000	1.000	0.000
rs7834588 lBF = `-0.055575` Chr`8` : `63,883,593`	0.000	1.000	0.000
rs1550582 lBF = `-0.0807562` Chr`8` : `135,542,084`	0.000	1.000	0.000
rs11779860 lBF = `-0.114845` Chr`8` : `98,850,330`	0.000	1.000	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.000	1.000	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.000	1.000	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	1.000	0.000
rs7821178 lBF = `1.10482` Chr`8` : `78,093,837`	0.000	1.000	0.000
rs7814403 lBF = `0.775744` Chr`8` : `36,459,454`	0.000	1.000	0.000
rs13259667 lBF = `0.487497` Chr`8` : `78,325,885`	0.000	1.000	0.000
rs117044419 lBF = `0.184407` Chr`8` : `47,406,616`	0.000	1.000	0.000
rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	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

0.9395

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6242

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0929

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0861

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0636

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9999

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9979

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9977

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9902

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9796

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9676

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9571

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9558

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9463

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.9451

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9439

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9426

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9362

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9001

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8865

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8744

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7935

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7785

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7371

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7290

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7115

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6996

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.5594

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4375

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3788

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3480

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3352

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2251

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2037

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1919

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1889

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1664

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1500

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1467

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1405

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1368

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1332

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1283

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0835

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0820

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0813

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0788

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0773

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0709

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0700

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0671

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0582

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0562

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`)