TreeWAS – [R00] Abnormalities of heart beat

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R00

Abnormalities of heart beat

Parent term	R00-R09 Symptoms and signs involving the circulatory and respiratory systems
Nested terms	R00.0 Tachycardia, unspecified R00.1 Bradycardia, unspecified R00.2 Palpitations R00.8 Other and unspecified abnormalities of heart beat

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Variant effects

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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
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.992	0.008	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.992	0.008	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.976	0.024	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.933	0.067	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.931	0.069	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.901	0.099	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.896	0.104	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.893	0.107	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.843	0.157	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.821	0.179	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.818	0.182	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.810	0.190	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.774	0.226	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.752	0.248	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.745	0.255	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.704	0.296	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.648	0.352	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.639	0.361	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.622	0.378	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.617	0.383	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.606	0.394	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.602	0.398	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.598	0.402	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.594	0.406	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.590	0.409	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.570	0.430	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.570	0.430	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.557	0.443	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.553	0.447	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.550	0.450	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.542	0.458	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.532	0.468	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.510	0.490	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.505	0.495	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.503	0.497	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.489	0.511	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.485	0.515	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.478	0.522	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.440	0.560	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.390	0.610	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.387	0.613	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.382	0.618	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.332	0.668	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.327	0.673	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.324	0.676	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.318	0.682	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.306	0.693	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.302	0.698	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.300	0.700	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.299	0.701	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.284	0.715	0.001
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.284	0.716	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.716	0.283
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.280	0.720	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.269	0.731	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.259	0.741	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.206	0.794	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.193	0.807	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.187	0.813	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.173	0.827	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.154	0.845	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.154	0.846	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.138	0.862	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.136	0.864	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.129	0.870	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.128	0.872	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.125	0.875	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.120	0.880	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.112	0.888	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.111	0.889	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.101	0.899	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.096	0.903	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.095	0.904	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.095	0.905	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.095	0.905	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.093	0.907	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.089	0.911	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.082	0.918	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.081	0.919	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.080	0.920	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.921	0.079
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.075	0.925	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.069	0.931	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.069	0.931	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.063	0.937	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.060	0.940	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.056	0.944	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.055	0.945	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.051	0.948	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.046	0.954	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.046	0.954	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.045	0.955	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.045	0.955	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.044	0.956	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.042	0.958	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.042	0.958	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.042	0.958	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.039	0.960	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.036	0.964	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.033	0.967	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.031	0.969	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.028	0.972	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.026	0.974	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.025	0.975	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.024	0.976	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.022	0.978	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.020	0.980	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.017	0.983	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.017	0.983	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.016	0.984	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.016	0.984	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.012	0.988	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.012	0.988	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.012	0.988	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.012	0.988	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.011	0.989	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.011	0.989	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.011	0.989	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.011	0.989	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.010	0.990	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.010	0.990	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.010	0.990	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.010	0.990	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.010	0.990	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.008	0.992	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.008	0.992	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.007	0.992	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.008	0.992	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.007	0.993	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.993	0.007
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.006	0.994	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.006	0.994	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.005	0.995	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.004	0.996	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.004	0.996	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.003	0.996	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.004	0.996	0.000
rs10102164 lBF = `0.173184` Chr`8` : `55,421,614`	0.003	0.997	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.002	0.997	0.001
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.003	0.997	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.003	0.997	0.000
rs16936455 lBF = `0.324153` Chr`8` : `70,724,754`	0.000	0.997	0.003
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.997	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.002	0.998	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.002	0.998	0.000
rs16939046 lBF = `0.0561149` Chr`8` : `76,147,954`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.002	0.998	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.998	0.002
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.002	0.998	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs201466262 lBF = `-0.00045314` Chr`8` : `52,407,936`	0.002	0.998	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.998	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.001	0.999	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.001	0.999	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.001	0.999	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs7007076 lBF = `-0.0491761` Chr`8` : `124,730,029`	0.000	0.999	0.001
rs17666538 lBF = `0.3659` Chr`8` : `566,207`	0.001	0.999	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.001	0.999	0.001
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.001	0.999	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.001	0.999	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.001	0.999	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs12543318 lBF = `-0.117623` Chr`8` : `88,868,340`	0.001	0.999	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.001	0.999	0.000
rs6988636 lBF = `0.592889` Chr`8` : `124,185,970`	0.001	0.999	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.001	0.999	0.000
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.001	0.999	0.000
rs2071598 lBF = `-0.0176702` Chr`8` : `99,129,507`	0.000	0.999	0.001
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.000	0.999	0.001
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.001	0.999	0.000
rs7825175 lBF = `0.161327` Chr`8` : `32,416,274`	0.001	0.999	0.000
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
rs190951784 lBF = `0.00003382` Chr`8` : `25,131,523`	0.001	0.999	0.000
rs73318770 lBF = `0.00000446` Chr`8` : `74,362,915`	0.001	0.999	0.000
rs191935895 lBF = `0` Chr`8` : `5,267,311`	0.001	0.999	0.001
rs189590409 lBF = `0` Chr`8` : `114,727,602`	0.001	0.999	0.001
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rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.000	1.000	0.000
rs569688 lBF = `0.00507678` Chr`8` : `60,961,821`	0.000	1.000	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs2460905 lBF = `-0.00438948` Chr`8` : `12,834,600`	0.000	1.000	0.000
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.000	1.000	0.000
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.000	1.000	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	1.000	0.000
rs117880470 lBF = `-0.034689` Chr`8` : `6,933,373`	0.000	1.000	0.000
rs10505574 lBF = `-0.0558895` Chr`8` : `132,472,102`	0.000	1.000	0.000
rs1523643 lBF = `-0.0580598` Chr`8` : `16,789,235`	0.000	1.000	0.000
rs4733770 lBF = `-0.0617633` Chr`8` : `131,152,665`	0.000	1.000	0.000
rs6557786 lBF = `-0.0632373` Chr`8` : `24,799,742`	0.000	1.000	0.000
rs2033562 lBF = `-0.108618` Chr`8` : `103,547,739`	0.000	1.000	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.000	1.000	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.000	1.000	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.000	1.000	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.000	1.000	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.000	1.000	0.000
rs4077341 lBF = `1.2878` Chr`8` : `22,962,348`	0.000	1.000	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.000	1.000	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.000	1.000	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	1.000	0.000
rs2126259 lBF = `0.0711624` Chr`8` : `9,185,146`	0.000	1.000	0.000
rs6986718 lBF = `0.0450829` Chr`8` : `121,635,396`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs3115775 lBF = `0.0195883` Chr`8` : `118,707,726`	0.000	1.000	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	1.000	0.000
rs13267838 lBF = `0.00191318` Chr`8` : `25,196,710`	0.000	1.000	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs4735692 lBF = `-0.00154777` Chr`8` : `76,615,663`	0.000	1.000	0.000
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs2003880 lBF = `-0.0164642` Chr`8` : `6,788,102`	0.000	1.000	0.000
rs2551043 lBF = `-0.0346339` Chr`8` : `3,189,896`	0.000	1.000	0.000
rs279612 lBF = `-0.0391292` Chr`8` : `122,706,291`	0.000	1.000	0.000
rs7822058 lBF = `-0.0416773` Chr`8` : `53,684,861`	0.000	1.000	0.000
rs7818382 lBF = `-0.0469083` Chr`8` : `96,054,000`	0.000	1.000	0.000
rs1487141 lBF = `-0.0502364` Chr`8` : `32,139,652`	0.000	1.000	0.000
rs17126232 lBF = `-0.0593424` Chr`8` : `17,977,650`	0.000	1.000	0.000
rs58810682 lBF = `-0.0694024` Chr`8` : `43,695,234`	0.000	1.000	0.000
rs6558578 lBF = `-0.0952741` Chr`8` : `1,969,726`	0.000	1.000	0.000
rs2511714 lBF = `-0.110272` Chr`8` : `103,578,874`	0.000	1.000	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.000	1.000	0.000
rs9642880 lBF = `15.7288` Chr`8` : `128,718,068`	0.000	1.000	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	1.000	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	1.000	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.000	1.000	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.000	1.000	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.000	1.000	0.000
rs2121630 lBF = `7.89046` Chr`8` : `128,478,160`	0.000	1.000	0.000
rs3824247 lBF = `7.70157` Chr`8` : `124,721,949`	0.000	1.000	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.000	1.000	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.000	1.000	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.000	1.000	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.000	1.000	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.000	1.000	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.000	1.000	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.000	1.000	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	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
rs10111661 lBF = `0.994666` Chr`8` : `20,336,573`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs7832552 lBF = `0.545151` Chr`8` : `110,115,676`	0.000	1.000	0.000
rs7845219 lBF = `0.375637` Chr`8` : `95,937,502`	0.000	1.000	0.000
rs896854 lBF = `0.188603` Chr`8` : `95,960,511`	0.000	1.000	0.000
rs6469488 lBF = `0.121984` Chr`8` : `114,885,432`	0.000	1.000	0.000
rs10505648 lBF = `0.117186` Chr`8` : `137,156,450`	0.000	1.000	0.000
rs11987235 lBF = `0.0831969` Chr`8` : `117,641,610`	0.000	1.000	0.000
rs11778329 lBF = `0.077655` Chr`8` : `49,053,165`	0.000	1.000	0.000
rs1461729 lBF = `0.0670221` Chr`8` : `9,187,242`	0.000	1.000	0.000
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs7836436 lBF = `0.0421154` Chr`8` : `121,006,828`	0.000	1.000	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.000	1.000	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.000	1.000	0.000
rs4734806 lBF = `0.0295291` Chr`8` : `105,700,680`	0.000	1.000	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	1.000	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.000	1.000	0.000
rs75545078 lBF = `0.0217198` Chr`8` : `122,950,878`	0.000	1.000	0.000
rs1531590 lBF = `0.0152584` Chr`8` : `76,036,444`	0.000	1.000	0.000
rs7011192 lBF = `0.0144292` Chr`8` : `10,535,377`	0.000	1.000	0.000
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.000	1.000	0.000
rs56156301 lBF = `0.00794506` Chr`8` : `104,147,804`	0.000	1.000	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	1.000	0.000
rs4733781 lBF = `-0.00271699` Chr`8` : `131,296,767`	0.000	1.000	0.000
rs2609653 lBF = `-0.00331663` Chr`8` : `34,236,992`	0.000	1.000	0.000
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	0.000	1.000	0.000
rs17749211 lBF = `-0.00886405` Chr`8` : `119,391,409`	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
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs16904179 lBF = `-0.0207368` Chr`8` : `130,958,951`	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

0.7836

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9998

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9997

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9993

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9986

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9978

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9976

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9973

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9967

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9965

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9944

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9928

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9664

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9643

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9620

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9543

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9539

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9461

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9192

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9070

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8940

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8852

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8826

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8596

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8576

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7967

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7304

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6889

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6744

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6466

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6284

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5869

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5280

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5024

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5021

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4928

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4848

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4223

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4115

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4050

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3925

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3590

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3518

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3190

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2499

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2493

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2268

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2257

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2210

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2203

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2135

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1461

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1254

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1232

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1130

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0968

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0962

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0903

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0894

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0769

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0651

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0632

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0626

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.0620

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0600

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0598

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)

Hospitalization Episode Statistics (`HES`)