TreeWAS – [Z86.2] Personal history of diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism

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
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.084	0.916
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.735	0.265	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.731	0.269	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.717	0.282	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.699	0.300	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.699	0.301	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.698	0.302	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.689	0.310	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.670	0.330	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.635	0.365	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.631	0.369	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.376	0.624
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.622	0.378	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.614	0.386	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.608	0.392	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.516	0.483	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.511	0.489	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.508	0.492	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.507	0.492	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.498	0.502	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.497	0.503	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.496	0.504	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.472	0.528	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.438	0.561	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.384	0.616	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.368	0.632	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.365	0.635	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.291	0.709	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.289	0.711	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.269	0.731	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.254	0.746	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.248	0.752	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.202	0.798	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.201	0.799	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.192	0.807	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.182	0.818	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.176	0.824	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.175	0.824	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.170	0.829	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.169	0.831	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.157	0.843	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.156	0.844	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.146	0.854	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.145	0.855	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.143	0.857	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.142	0.858	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.142	0.858	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.121	0.879	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.113	0.886	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.915	0.085
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.083	0.917	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.080	0.920	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.076	0.924	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.074	0.926	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.071	0.929	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.063	0.937	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.062	0.938	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.061	0.938	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.061	0.939	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.059	0.941	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.048	0.952	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.047	0.952	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.045	0.955	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.040	0.960	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.040	0.960	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.039	0.961	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.039	0.961	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.035	0.965	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.033	0.966	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.030	0.970	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.029	0.971	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.026	0.974	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.025	0.975	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.025	0.975	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.025	0.975	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.022	0.978	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.021	0.978	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.021	0.979	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.020	0.980	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.019	0.981	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.019	0.981	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.019	0.981	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.018	0.982	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.016	0.984	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.016	0.984	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.013	0.987	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.011	0.989	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.011	0.989	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.010	0.990	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.010	0.990	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.990	0.009
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.991	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.008	0.992	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.008	0.992	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.008	0.992	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.008	0.992	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.007	0.992	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.007	0.992	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.007	0.993	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.007	0.993	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.007	0.993	0.000
rs980238 lBF = `-0.0774097` Chr`8` : `4,282,618`	0.000	0.994	0.006
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.004	0.996	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.004	0.996	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.004	0.996	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.004	0.996	0.000
rs4875102 lBF = `-0.06731` Chr`8` : `4,284,692`	0.000	0.996	0.004
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.004	0.996	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.003	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.997	0.000
rs1512268 lBF = `5.83166` Chr`8` : `23,526,463`	0.003	0.997	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.003	0.997	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.003	0.997	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.003	0.997	0.000
rs13272623 lBF = `0.830413` Chr`8` : `71,544,748`	0.000	0.997	0.003
rs7819937 lBF = `0.532275` Chr`8` : `3,118,779`	0.003	0.997	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.003	0.997	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.003	0.997	0.000
rs6993270 lBF = `-0.0124426` Chr`8` : `120,941,716`	0.000	0.997	0.003
rs73229090 lBF = `0.00150645` Chr`8` : `27,442,127`	0.000	0.998	0.002
rs853308 lBF = `1.42537` Chr`8` : `133,929,917`	0.000	0.998	0.002
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.002	0.998	0.000
rs13256366 lBF = `5.2471` Chr`8` : `23,502,660`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.002	0.998	0.000
rs4601292 lBF = `0.0604848` Chr`8` : `66,851,731`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs17232789 lBF = `-0.0673264` Chr`8` : `122,622,500`	0.000	0.998	0.002
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.002	0.998	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.002	0.998	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.002	0.998	0.000
rs2736332 lBF = `0.12699` Chr`8` : `11,339,965`	0.002	0.998	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.002	0.998	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.002	0.998	0.000
rs7836436 lBF = `0.0421154` Chr`8` : `121,006,828`	0.000	0.998	0.002
rs10505648 lBF = `0.117186` Chr`8` : `137,156,450`	0.002	0.998	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.001	0.999	0.000
rs2736337 lBF = `0.0321259` Chr`8` : `11,341,880`	0.001	0.999	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs4917300 lBF = `0.249` Chr`8` : `143,121,671`	0.000	0.999	0.001
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
rs17301329 lBF = `-0.0705506` Chr`8` : `54,858,981`	0.001	0.999	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.001	0.999	0.000
rs13263568 lBF = `-0.0180291` Chr`8` : `72,447,418`	0.001	0.999	0.000
rs7846606 lBF = `0.0546693` Chr`8` : `77,507,613`	0.000	0.999	0.001
rs147410223 lBF = `-0.0317068` Chr`8` : `23,507,379`	0.000	0.999	0.001
rs7829987 lBF = `0.132573` Chr`8` : `17,462,222`	0.000	0.999	0.001
rs11987235 lBF = `0.0831969` Chr`8` : `117,641,610`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs10095849 lBF = `-0.0514005` Chr`8` : `39,408,586`	0.000	0.999	0.001
rs9297357 lBF = `-0.0403271` Chr`8` : `106,142,333`	0.001	0.999	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.001	0.999	0.000
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs13269021 lBF = `-0.031375` Chr`8` : `6,396,763`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs6577655 lBF = `-0.0824192` Chr`8` : `135,593,725`	0.000	0.999	0.001
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs6472235 lBF = `0.00248626` Chr`8` : `66,822,030`	0.000	0.999	0.001
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
rs1349547 lBF = `-0.0562944` Chr`8` : `39,548,378`	0.001	0.999	0.000
rs9693444 lBF = `-0.0637502` Chr`8` : `29,509,616`	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
rs16902104 lBF = `0` Chr`8` : `128,340,908`	0.001	0.999	0.001
rs79781504 lBF = `0` Chr`8` : `84,750,057`	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
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
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
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
rs114252942 lBF = `0` Chr`8` : `6,202,964`	0.001	0.999	0.001
rs144424757 lBF = `0` Chr`8` : `12,929,793`	0.001	0.999	0.001
rs1845529 lBF = `0` Chr`8` : `116,163,863`	0.001	0.999	0.001
rs150435906 lBF = `0` Chr`8` : `66,864,338`	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
rs73313124 lBF = `0` Chr`8` : `110,478,822`	0.001	0.999	0.001
rs188809019 lBF = `0` Chr`8` : `129,286,235`	0.001	0.999	0.001
rs113414285 lBF = `0` Chr`8` : `24,395,263`	0.001	0.999	0.001
rs182838111 lBF = `0` Chr`8` : `67,889,470`	0.001	0.999	0.001
rs182387400 lBF = `0` Chr`8` : `25,129,708`	0.001	0.999	0.001
rs192074192 lBF = `0` Chr`8` : `73,025,833`	0.001	0.999	0.001
rs143335239 lBF = `0` Chr`8` : `6,500,809`	0.001	0.999	0.001
rs141721054 lBF = `0` Chr`8` : `131,201,613`	0.001	0.999	0.001
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rs17410962 lBF = `2.05556` Chr`8` : `19,848,080`	0.000	1.000	0.000
rs7841189 lBF = `1.77779` Chr`8` : `19,845,376`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs16939046 lBF = `0.0561149` Chr`8` : `76,147,954`	0.000	1.000	0.000
rs7812879 lBF = `0.0541953` Chr`8` : `11,340,181`	0.000	1.000	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	1.000	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.000	1.000	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	1.000	0.000
rs11203649 lBF = `-0.0247623` Chr`8` : `14,517,294`	0.000	1.000	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	1.000	0.000
rs3870371 lBF = `-0.0683153` Chr`8` : `122,697,132`	0.000	1.000	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.000	1.000	0.000
rs11777747 lBF = `0.144313` Chr`8` : `142,466,821`	0.000	1.000	0.000
rs13273073 lBF = `0.0632457` Chr`8` : `23,584,226`	0.000	1.000	0.000
rs285406 lBF = `0.0521819` Chr`8` : `87,025,013`	0.000	1.000	0.000
rs11781525 lBF = `0.0341254` Chr`8` : `125,721,366`	0.000	1.000	0.000
rs9772881 lBF = `0.00326542` Chr`8` : `142,878,259`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs17669535 lBF = `-0.0535021` Chr`8` : `1,244,224`	0.000	1.000	0.000
rs12680546 lBF = `-0.0687005` Chr`8` : `136,871,739`	0.000	1.000	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.000	1.000	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.000	1.000	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.000	1.000	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	1.000	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.000	1.000	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.000	1.000	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.000	1.000	0.000
rs1296028 lBF = `2.87067` Chr`8` : `11,698,747`	0.000	1.000	0.000
rs10088218 lBF = `1.35488` Chr`8` : `129,543,949`	0.000	1.000	0.000
rs16936455 lBF = `0.324153` Chr`8` : `70,724,754`	0.000	1.000	0.000
rs17091905 lBF = `0.274818` Chr`8` : `19,849,757`	0.000	1.000	0.000
rs1106761 lBF = `0.249121` Chr`8` : `142,619,234`	0.000	1.000	0.000
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs9314308 lBF = `-0.0247094` Chr`8` : `25,544,679`	0.000	1.000	0.000
rs11987678 lBF = `-0.0283536` Chr`8` : `81,228,826`	0.000	1.000	0.000
rs2954793 lBF = `-0.0391283` Chr`8` : `29,106,059`	0.000	1.000	0.000
rs1600249 lBF = `-0.0589275` Chr`8` : `11,359,638`	0.000	1.000	0.000
rs7014900 lBF = `-0.0607973` Chr`8` : `115,578,307`	0.000	1.000	0.000
rs1395804 lBF = `-0.0661562` Chr`8` : `132,510,680`	0.000	1.000	0.000
rs12542759 lBF = `-0.0740763` Chr`8` : `133,034,837`	0.000	1.000	0.000
rs2565065 lBF = `-0.0811412` Chr`8` : `27,328,021`	0.000	1.000	0.000
rs2954038 lBF = `34.2663` Chr`8` : `126,507,389`	0.000	1.000	0.000
rs445114 lBF = `7.32631` Chr`8` : `128,323,181`	0.000	1.000	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	1.000	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.000	1.000	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.000	1.000	0.000
rs6473015 lBF = `0.093735` Chr`8` : `78,178,485`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs1540507 lBF = `0.0353765` Chr`8` : `3,088,763`	0.000	1.000	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	1.000	0.000
rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	1.000	0.000
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	1.000	0.000
rs12681963 lBF = `-0.0465827` Chr`8` : `29,982,518`	0.000	1.000	0.000
rs2702888 lBF = `-0.0766788` Chr`8` : `6,765,032`	0.000	1.000	0.000
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	1.000	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.000	1.000	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.000	1.000	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.000	1.000	0.000
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.000	1.000	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	1.000	0.000
rs1447295 lBF = `15.7554` Chr`8` : `128,485,038`	0.000	1.000	0.000
rs7837688 lBF = `15.6076` Chr`8` : `128,539,360`	0.000	1.000	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.000	1.000	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	1.000	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.000	1.000	0.000
rs77210013 lBF = `9.66331` Chr`8` : `101,022,381`	0.000	1.000	0.000
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.000	1.000	0.000
rs10096633 lBF = `4.10153` Chr`8` : `19,830,921`	0.000	1.000	0.000
rs1393902 lBF = `1.75937` Chr`8` : `68,421,565`	0.000	1.000	0.000
rs1516971 lBF = `1.4255` Chr`8` : `129,542,100`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs2278491 lBF = `0.182751` Chr`8` : `117,656,871`	0.000	1.000	0.000
rs1903595 lBF = `0.0891305` Chr`8` : `14,389,481`	0.000	1.000	0.000
rs722782 lBF = `0.0164778` Chr`8` : `516,479`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	1.000	0.000
rs12541063 lBF = `-0.00270779` Chr`8` : `135,869,976`	0.000	1.000	0.000
rs4875320 lBF = `-0.0133141` Chr`8` : `4,164,013`	0.000	1.000	0.000
rs6999452 lBF = `-0.0453161` Chr`8` : `106,397,116`	0.000	1.000	0.000
rs4705 lBF = `-0.0968574` Chr`8` : `17,500,223`	0.000	1.000	0.000
rs10109541 lBF = `-0.12609` Chr`8` : `523,920`	0.000	1.000	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.000	1.000	0.000
rs9297994 lBF = `15.9783` Chr`8` : `59,392,324`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.000	1.000	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.000	1.000	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.000	1.000	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.000	1.000	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.000	1.000	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.000	1.000	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.000	1.000	0.000
rs4642619 lBF = `1.51359` Chr`8` : `111,487,468`	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

0.7267

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1072

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9665

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9583

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9549

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9498

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9491

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9336

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9000

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8821

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8659

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8290

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8061

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7645

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7093

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7037

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6956

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6466

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6045

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5397

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5136

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3783

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2815

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2591

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2335

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2182

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2105

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2020

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1853

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1723

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1521

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1478

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1350

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1264

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1177

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1032

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0908

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0885

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0841

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0718

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0682

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`)