TreeWAS – [R07.1] Chest pain on breathing

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
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.753	0.247	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.734	0.266	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.725	0.275	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.714	0.286	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.712	0.288	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.711	0.289	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.704	0.296	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.677	0.323	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.664	0.336	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.651	0.348	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.636	0.364	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.636	0.364	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.634	0.365	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.611	0.389	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.608	0.392	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.592	0.408	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.579	0.421	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.545	0.455	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.530	0.470	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.521	0.479	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.482	0.518	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.481	0.519	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.437	0.562	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.424	0.576	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.338	0.661	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.319	0.681	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.314	0.686	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.309	0.690	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.293	0.707	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.286	0.713	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.277	0.723	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.277	0.723	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.261	0.739	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.253	0.747	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.747	0.252
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.233	0.767	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.230	0.770	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.230	0.770	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.221	0.779	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.182	0.818	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.171	0.828	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.168	0.831	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.168	0.832	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.167	0.833	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.155	0.845	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.153	0.847	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.152	0.848	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.147	0.853	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.146	0.853	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.137	0.862	0.001
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.130	0.870	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.128	0.872	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.126	0.874	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.114	0.886	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.114	0.886	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.107	0.893	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.106	0.894	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.102	0.897	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.086	0.914	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.082	0.917	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.081	0.919	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.078	0.922	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.076	0.924	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.074	0.926	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.073	0.927	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.072	0.928	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.071	0.929	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.070	0.929	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.067	0.932	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.064	0.935	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.062	0.938	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.058	0.941	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.942	0.058
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.058	0.942	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.056	0.944	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.053	0.947	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.049	0.951	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.045	0.954	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.046	0.954	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.039	0.961	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.039	0.961	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.036	0.964	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.033	0.967	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.032	0.968	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.027	0.972	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.027	0.973	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.027	0.973	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.026	0.974	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.025	0.974	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.020	0.976	0.005
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.024	0.976	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.022	0.978	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.022	0.978	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.021	0.979	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.018	0.982	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.016	0.984	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.015	0.985	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.012	0.988	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.012	0.988	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.012	0.988	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.011	0.989	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.010	0.989	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.010	0.990	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.009	0.991	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.008	0.992	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.007	0.993	0.001
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.007	0.993	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.006	0.993	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.006	0.994	0.001
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.005	0.995	0.000
rs17641971 lBF = `-0.0739026` Chr`8` : `49,884,817`	0.005	0.995	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.005	0.995	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.000	0.995	0.005
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.004	0.996	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.004	0.996	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.004	0.996	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.004	0.996	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.003	0.996	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.003	0.996	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.003	0.996	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.003	0.996	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.003	0.996	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.003	0.996	0.000
rs1963982 lBF = `-0.0393427` Chr`8` : `73,106,916`	0.000	0.997	0.003
rs6471393 lBF = `-0.102355` Chr`8` : `94,715,291`	0.000	0.997	0.003
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs231147 lBF = `0.00450035` Chr`8` : `116,417,563`	0.000	0.997	0.003
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.003	0.997	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.003	0.997	0.000
rs12541758 lBF = `-0.044173` Chr`8` : `73,142,382`	0.000	0.997	0.003
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.003	0.997	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.003	0.997	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.003	0.997	0.000
rs10101158 lBF = `-0.123915` Chr`8` : `142,881,966`	0.000	0.998	0.002
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.002	0.998	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.002	0.998	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.002	0.998	0.000
rs10089517 lBF = `-0.0568592` Chr`8` : `60,178,721`	0.000	0.998	0.002
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.998	0.002
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.998	0.000
rs7814749 lBF = `-0.102908` Chr`8` : `87,721,349`	0.002	0.998	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.002	0.998	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.998	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.002	0.998	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.002	0.998	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.002	0.998	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.998	0.000
rs1912816 lBF = `0.0607353` Chr`8` : `114,873,380`	0.000	0.998	0.002
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.002	0.998	0.000
rs6601530 lBF = `1.87772` Chr`8` : `10,671,272`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs10106540 lBF = `-0.0881243` Chr`8` : `134,461,851`	0.002	0.998	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.002	0.998	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.002	0.998	0.000
rs10113215 lBF = `-0.0808529` Chr`8` : `60,132,194`	0.000	0.998	0.002
rs4922265 lBF = `0.00141826` Chr`8` : `16,996,435`	0.000	0.998	0.002
rs2977125 lBF = `0.159036` Chr`8` : `12,773,256`	0.000	0.998	0.002
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.001	0.999	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.001	0.999	0.000
rs4841452 lBF = `6.18226` Chr`8` : `10,687,121`	0.001	0.999	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.001	0.999	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.001	0.999	0.000
rs73201717 lBF = `0.712049` Chr`8` : `16,682,746`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs4276643 lBF = `-0.119684` Chr`8` : `27,803,599`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.001
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.001	0.999	0.000
rs10108033 lBF = `0.0622048` Chr`8` : `132,330,716`	0.000	0.999	0.001
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs2978263 lBF = `-0.00965483` Chr`8` : `30,498,859`	0.000	0.999	0.001
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.001	0.999	0.000
rs6993270 lBF = `-0.0124426` Chr`8` : `120,941,716`	0.000	0.999	0.001
rs2882926 lBF = `-0.0585463` Chr`8` : `63,621,569`	0.001	0.999	0.000
rs11781622 lBF = `-0.0749637` Chr`8` : `24,378,741`	0.000	0.999	0.001
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs36068923 lBF = `1.50278` Chr`8` : `111,485,761`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs4072286 lBF = `-0.0969006` Chr`8` : `142,736,531`	0.001	0.999	0.000
rs4642619 lBF = `1.51359` Chr`8` : `111,487,468`	0.001	0.999	0.000
rs4917300 lBF = `0.249` Chr`8` : `143,121,671`	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
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs3019286 lBF = `0.0717552` Chr`8` : `99,895,405`	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
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rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	1.000	0.000
rs13273891 lBF = `-0.032508` Chr`8` : `58,986,459`	0.000	1.000	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.000	1.000	0.000
rs4295627 lBF = `-0.0634004` Chr`8` : `130,685,457`	0.000	1.000	0.000
rs1208 lBF = `-0.0928151` Chr`8` : `18,258,316`	0.000	1.000	0.000
rs11558471 lBF = `12.8635` Chr`8` : `118,185,733`	0.000	1.000	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.000	1.000	0.000
rs11250098 lBF = `9.99463` Chr`8` : `10,818,607`	0.000	1.000	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.000	1.000	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.000	1.000	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs2736332 lBF = `0.12699` Chr`8` : `11,339,965`	0.000	1.000	0.000
rs4922199 lBF = `0.0780121` Chr`8` : `20,301,437`	0.000	1.000	0.000
rs11998649 lBF = `0.0383106` Chr`8` : `22,619,551`	0.000	1.000	0.000
rs2648875 lBF = `0.0245957` Chr`8` : `129,072,161`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	1.000	0.000
rs76070545 lBF = `-0.010697` Chr`8` : `104,371,447`	0.000	1.000	0.000
rs2002030 lBF = `-0.0219667` Chr`8` : `11,276,542`	0.000	1.000	0.000
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	0.000	1.000	0.000
rs7825271 lBF = `-0.0345897` Chr`8` : `69,563,695`	0.000	1.000	0.000
rs10504073 lBF = `-0.066873` Chr`8` : `50,024,944`	0.000	1.000	0.000
rs11779860 lBF = `-0.114845` Chr`8` : `98,850,330`	0.000	1.000	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.000	1.000	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.000	1.000	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.000	1.000	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	1.000	0.000
rs10216564 lBF = `11.5477` Chr`8` : `77,475,130`	0.000	1.000	0.000
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.000	1.000	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.000	1.000	0.000
rs77210013 lBF = `9.66331` Chr`8` : `101,022,381`	0.000	1.000	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.000	1.000	0.000
rs2392780 lBF = `2.24613` Chr`8` : `128,388,025`	0.000	1.000	0.000
rs2981205 lBF = `1.43592` Chr`8` : `107,844,447`	0.000	1.000	0.000
rs2930491 lBF = `1.29978` Chr`8` : `107,842,294`	0.000	1.000	0.000
rs17667932 lBF = `0.20904` Chr`8` : `118,549,376`	0.000	1.000	0.000
rs10505648 lBF = `0.117186` Chr`8` : `137,156,450`	0.000	1.000	0.000
rs7833787 lBF = `0.110086` Chr`8` : `18,707,871`	0.000	1.000	0.000
rs2449215 lBF = `0.0947357` Chr`8` : `3,488,338`	0.000	1.000	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs2439312 lBF = `-0.0253318` Chr`8` : `32,412,359`	0.000	1.000	0.000
rs10503871 lBF = `-0.0315324` Chr`8` : `30,436,852`	0.000	1.000	0.000
rs12542166 lBF = `-0.03426` Chr`8` : `122,982,838`	0.000	1.000	0.000
rs2720499 lBF = `-0.052573` Chr`8` : `17,392,357`	0.000	1.000	0.000
rs17428041 lBF = `-0.0669529` Chr`8` : `21,711,431`	0.000	1.000	0.000
rs4389974 lBF = `-0.0696583` Chr`8` : `112,381,796`	0.000	1.000	0.000
rs2950160 lBF = `-0.0768393` Chr`8` : `4,420,188`	0.000	1.000	0.000
rs7017212 lBF = `-0.0777989` Chr`8` : `10,022,938`	0.000	1.000	0.000
rs6468852 lBF = `-0.0911449` Chr`8` : `103,975,989`	0.000	1.000	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.000	1.000	0.000
rs10216709 lBF = `6.56846` Chr`8` : `126,472,487`	0.000	1.000	0.000
rs11776767 lBF = `2.39336` Chr`8` : `10,683,929`	0.000	1.000	0.000
rs7834018 lBF = `0.188881` Chr`8` : `72,561,742`	0.000	1.000	0.000
rs4355801 lBF = `0.157347` Chr`8` : `119,923,873`	0.000	1.000	0.000
rs6993813 lBF = `0.151365` Chr`8` : `120,052,238`	0.000	1.000	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	1.000	0.000
rs4841398 lBF = `0.00282566` Chr`8` : `10,462,806`	0.000	1.000	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	1.000	0.000
rs2163950 lBF = `-0.0149918` Chr`8` : `130,597,585`	0.000	1.000	0.000
rs7844919 lBF = `-0.0281267` Chr`8` : `2,226,153`	0.000	1.000	0.000
rs7008026 lBF = `-0.0355462` Chr`8` : `70,950,280`	0.000	1.000	0.000
rs7823498 lBF = `-0.037933` Chr`8` : `32,403,573`	0.000	1.000	0.000
rs13278529 lBF = `-0.045506` Chr`8` : `40,333,321`	0.000	1.000	0.000
rs4737009 lBF = `-0.0512034` Chr`8` : `41,630,405`	0.000	1.000	0.000
rs10503887 lBF = `-0.0590776` Chr`8` : `31,633,447`	0.000	1.000	0.000
rs17126232 lBF = `-0.0593424` Chr`8` : `17,977,650`	0.000	1.000	0.000
rs7006290 lBF = `-0.0791238` Chr`8` : `41,615,138`	0.000	1.000	0.000
rs7823467 lBF = `-0.0945008` Chr`8` : `60,078,734`	0.000	1.000	0.000
rs2033562 lBF = `-0.108618` Chr`8` : `103,547,739`	0.000	1.000	0.000
rs7006527 lBF = `21.6364` Chr`8` : `101,024,505`	0.000	1.000	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	1.000	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.000	1.000	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.000	1.000	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.000	1.000	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs7832232 lBF = `0.38776` Chr`8` : `38,469,303`	0.000	1.000	0.000
rs4484658 lBF = `0.148601` Chr`8` : `96,208,726`	0.000	1.000	0.000
rs10958476 lBF = `0.00838987` Chr`8` : `57,095,808`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs2466104 lBF = `-0.0301253` Chr`8` : `32,410,712`	0.000	1.000	0.000
rs4236709 lBF = `-0.0309197` Chr`8` : `32,410,110`	0.000	1.000	0.000
rs7820838 lBF = `-0.03659` Chr`8` : `32,405,979`	0.000	1.000	0.000
rs9918807 lBF = `-0.0613929` Chr`8` : `130,676,639`	0.000	1.000	0.000
rs2702888 lBF = `-0.0766788` Chr`8` : `6,765,032`	0.000	1.000	0.000
rs6984449 lBF = `-0.0801544` Chr`8` : `19,327,959`	0.000	1.000	0.000
rs34746873 lBF = `-0.119938` Chr`8` : `62,898,949`	0.000	1.000	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1718

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9803

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9702

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9408

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9293

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9240

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8532

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8030

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8013

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7946

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7703

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7159

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7056

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6690

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6424

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6396

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6230

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5188

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5121

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5102

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5089

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4926

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4891

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4309

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4299

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4031

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3439

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3403

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3243

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3059

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2997

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2485

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2447

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2346

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1888

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1800

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1789

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1560

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1538

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1512

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1468

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1342

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1018

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0933

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0868

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0820

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0755

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0730

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0720

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0661

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0644

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0539

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`)