TreeWAS – [Z80.7] Family history of 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
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.715	0.285	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.692	0.308	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.651	0.349	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.645	0.355	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.640	0.360	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.623	0.377	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.620	0.379	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.603	0.396	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.590	0.409	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.574	0.426	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.571	0.429	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.561	0.439	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.556	0.444	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.516	0.484	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.490	0.510
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.500	0.500	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.481	0.518	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.470	0.529	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.470	0.530	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.461	0.539	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.448	0.552	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.442	0.558	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.441	0.558	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.437	0.562	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.427	0.573	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.412	0.587	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.408	0.592	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.366	0.633	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.365	0.635	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.341	0.659	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.340	0.660	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.316	0.683	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.310	0.690	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.297	0.703	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.295	0.705	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.288	0.711	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.287	0.712	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.286	0.714	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.286	0.714	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.284	0.716	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.273	0.727	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.259	0.741	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.250	0.750	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.249	0.751	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.244	0.756	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.243	0.756	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.214	0.785	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.203	0.797	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.201	0.799	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.200	0.799	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.179	0.820	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.177	0.823	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.160	0.840	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.160	0.840	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.148	0.852	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.146	0.853	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.144	0.856	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.111	0.889	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.110	0.890	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.105	0.895	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.101	0.898	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.100	0.900	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.092	0.908	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.087	0.912	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.087	0.913	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.086	0.913	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.083	0.916	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.923	0.077
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.070	0.930	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.064	0.935	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.062	0.938	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.052	0.947	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.051	0.949	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.046	0.954	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.045	0.955	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.044	0.956	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.044	0.956	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.042	0.957	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.039	0.960	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.035	0.963	0.002
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.033	0.967	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.032	0.968	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.030	0.969	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.027	0.973	0.000
rs2195588 lBF = `-0.0291008` Chr`8` : `40,356,700`	0.026	0.974	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.023	0.977	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.021	0.979	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.020	0.979	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.019	0.980	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.018	0.982	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.018	0.982	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.015	0.985	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.014	0.985	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.013	0.986	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.013	0.987	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.012	0.988	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.012	0.988	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.011	0.989	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.011	0.989	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.010	0.989	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.010	0.990	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.010	0.990	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.009	0.991	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.008	0.992	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.007	0.992	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.007	0.993	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.007	0.993	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.006	0.993	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.006	0.993	0.000
rs10957550 lBF = `-0.00048974` Chr`8` : `72,294,588`	0.006	0.994	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.994	0.006
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.994	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.005	0.995	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.005	0.995	0.000
rs7820074 lBF = `-0.0388993` Chr`8` : `82,928,598`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.004	0.996	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.004	0.996	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.004	0.996	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.002	0.997	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.002	0.997	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	0.998	0.002
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.002	0.998	0.000
rs2721173 lBF = `0.193726` Chr`8` : `145,744,429`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.002	0.998	0.000
rs2741200 lBF = `0.163349` Chr`8` : `134,071,833`	0.002	0.998	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	0.998	0.001
rs11774212 lBF = `-0.0467484` Chr`8` : `145,686,505`	0.000	0.998	0.002
rs2943559 lBF = `-0.0440886` Chr`8` : `76,417,937`	0.001	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.998	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.001	0.999	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.001	0.999	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.999	0.001
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.001	0.999	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.001	0.999	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.001	0.999	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	0.999	0.001
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs147305104 lBF = `5.74596` Chr`8` : `81,426,293`	0.001	0.999	0.000
rs218869 lBF = `-0.0912182` Chr`8` : `23,636,281`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.001	0.999	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.001	0.999	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.001	0.999	0.000
rs859812 lBF = `-0.0141918` Chr`8` : `5,593,810`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.001	0.999	0.000
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.000	0.999	0.001
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.001	0.999	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	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
rs141721054 lBF = `0` Chr`8` : `131,201,613`	0.001	0.999	0.001
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
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
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
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
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
rs116041037 lBF = `0` Chr`8` : `128,131,809`	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
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
rs141395649 lBF = `0` Chr`8` : `6,498,690`	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
rs114258913 lBF = `0` Chr`8` : `93,525,403`	0.001	0.999	0.001
rs150435906 lBF = `0` Chr`8` : `66,864,338`	0.001	0.999	0.001
rs144424757 lBF = `0` Chr`8` : `12,929,793`	0.001	0.999	0.001
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rs2360806 lBF = `0.00648987` Chr`8` : `53,125,734`	0.000	1.000	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs984440 lBF = `-0.0265342` Chr`8` : `139,077,728`	0.000	1.000	0.000
rs7817714 lBF = `-0.077801` Chr`8` : `103,048,810`	0.000	1.000	0.000
rs931812 lBF = `-0.0890979` Chr`8` : `101,919,321`	0.000	1.000	0.000
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.000	1.000	0.000
rs5003154 lBF = `1.76117` Chr`8` : `81,986,953`	0.000	1.000	0.000
rs10505648 lBF = `0.117186` Chr`8` : `137,156,450`	0.000	1.000	0.000
rs2466035 lBF = `0.0722241` Chr`8` : `128,211,229`	0.000	1.000	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.000	1.000	0.000
rs11787341 lBF = `0.0273871` Chr`8` : `19,102,564`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.000	1.000	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	1.000	0.000
rs10110287 lBF = `-0.00831101` Chr`8` : `21,487,130`	0.000	1.000	0.000
rs4921617 lBF = `-0.0100612` Chr`8` : `18,782,047`	0.000	1.000	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	1.000	0.000
rs112505062 lBF = `-0.0224138` Chr`8` : `96,293,103`	0.000	1.000	0.000
rs12676965 lBF = `-0.0503531` Chr`8` : `37,681,426`	0.000	1.000	0.000
rs1042992 lBF = `-0.0604619` Chr`8` : `26,269,191`	0.000	1.000	0.000
rs218361 lBF = `-0.0958539` Chr`8` : `116,110,725`	0.000	1.000	0.000
rs9886428 lBF = `-0.114257` Chr`8` : `14,113,816`	0.000	1.000	0.000
rs6982636 lBF = `31.1136` Chr`8` : `126,479,315`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	1.000	0.000
rs7006821 lBF = `0.750614` Chr`8` : `72,270,082`	0.000	1.000	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	1.000	0.000
rs6984305 lBF = `0.260009` Chr`8` : `9,178,268`	0.000	1.000	0.000
rs10492294 lBF = `0.192993` Chr`8` : `129,246,415`	0.000	1.000	0.000
rs1912816 lBF = `0.0607353` Chr`8` : `114,873,380`	0.000	1.000	0.000
rs11775199 lBF = `0.033404` Chr`8` : `129,280,949`	0.000	1.000	0.000
rs10958476 lBF = `0.00838987` Chr`8` : `57,095,808`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs1594829 lBF = `-0.00694046` Chr`8` : `26,206,077`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs4733789 lBF = `-0.019309` Chr`8` : `128,834,403`	0.000	1.000	0.000
rs2954793 lBF = `-0.0391283` Chr`8` : `29,106,059`	0.000	1.000	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.000	1.000	0.000
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	0.000	1.000	0.000
rs17126232 lBF = `-0.0593424` Chr`8` : `17,977,650`	0.000	1.000	0.000
rs1208 lBF = `-0.0928151` Chr`8` : `18,258,316`	0.000	1.000	0.000
rs2077212 lBF = `-0.0951277` Chr`8` : `5,982,272`	0.000	1.000	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	1.000	0.000
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.000	1.000	0.000
rs3824247 lBF = `7.70157` Chr`8` : `124,721,949`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	1.000	0.000
rs330071 lBF = `6.69881` Chr`8` : `9,159,895`	0.000	1.000	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.000	1.000	0.000
rs1512268 lBF = `5.83166` Chr`8` : `23,526,463`	0.000	1.000	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.000	1.000	0.000
rs2162460 lBF = `5.78382` Chr`8` : `59,331,781`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.000	1.000	0.000
rs2859998 lBF = `0.145979` Chr`8` : `59,324,162`	0.000	1.000	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.000	1.000	0.000
rs10504906 lBF = `0.0985992` Chr`8` : `92,418,628`	0.000	1.000	0.000
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	1.000	0.000
rs2449215 lBF = `0.0947357` Chr`8` : `3,488,338`	0.000	1.000	0.000
rs4410871 lBF = `0.0846442` Chr`8` : `128,815,029`	0.000	1.000	0.000
rs76794758 lBF = `0.0753432` Chr`8` : `47,052,818`	0.000	1.000	0.000
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs7822239 lBF = `-0.00253758` Chr`8` : `133,119,961`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs2609653 lBF = `-0.00331663` Chr`8` : `34,236,992`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs9792269 lBF = `-0.0139359` Chr`8` : `129,264,589`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs13263568 lBF = `-0.0180291` Chr`8` : `72,447,418`	0.000	1.000	0.000
rs2922763 lBF = `-0.0185582` Chr`8` : `76,573,711`	0.000	1.000	0.000
rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.000	1.000	0.000
rs7387468 lBF = `-0.0269339` Chr`8` : `94,358,098`	0.000	1.000	0.000
rs17301329 lBF = `-0.0705506` Chr`8` : `54,858,981`	0.000	1.000	0.000
rs6988229 lBF = `-0.0887463` Chr`8` : `139,884,509`	0.000	1.000	0.000
rs4875598 lBF = `-0.0982412` Chr`8` : `5,461,753`	0.000	1.000	0.000
rs13259853 lBF = `-0.100159` Chr`8` : `3,518,479`	0.000	1.000	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	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
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	1.000	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.000	1.000	0.000
rs622856 lBF = `8.44713` Chr`8` : `128,333,180`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs7844647 lBF = `1.14055` Chr`8` : `34,503,776`	0.000	1.000	0.000
rs7832552 lBF = `0.545151` Chr`8` : `110,115,676`	0.000	1.000	0.000
rs2278491 lBF = `0.182751` Chr`8` : `117,656,871`	0.000	1.000	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	1.000	0.000
rs117933211 lBF = `0.115108` Chr`8` : `47,243,611`	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

0.6256

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3587

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9699

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9676

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9549

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9297

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9091

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9020

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8994

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8982

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8958

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8954

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8947

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8829

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8708

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8635

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8451

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8401

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8284

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8123

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8116

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8105

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7879

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7733

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7613

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7554

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7433

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7339

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7166

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7165

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7163

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7163

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7137

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7117

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7008

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6910

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6868

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6797

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6742

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6606

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6571

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6552

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6412

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6353

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6302

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6147

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5829

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5665

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5568

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5548

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5428

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5370

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5314

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5232

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5133

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5022

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5002

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4985

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4768

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4748

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4707

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4628

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4588

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4547

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4374

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4320

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3604

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3501

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3375

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3338

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2982

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2980

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2918

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2914

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2775

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2742

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2631

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2454

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2116

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1995

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1957

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1911

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1861

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1838

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1740

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1685

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1571

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1428

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1424

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1106

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1033

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1028

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0994

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0947

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0944

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0904

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0902

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0792

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0703

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0673

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0657

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0629

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0591

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0564

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0545

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0538

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`)