TreeWAS – [R01] Cardiac murmurs and other cardiac sounds

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R01

Cardiac murmurs and other cardiac sounds

Parent term	R00-R09 Symptoms and signs involving the circulatory and respiratory systems
Nested terms	R01.0 Benign and innocent cardiac murmurs R01.1 Cardiac murmur, unspecified R01.2 Other cardiac sounds

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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
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.921	0.079	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.775	0.225	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.758	0.242	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.756	0.244	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.747	0.253	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.742	0.258	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.717	0.283	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.702	0.298	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.700	0.300	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.686	0.314	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.686	0.314	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.681	0.319	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.673	0.327	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.672	0.328	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.649	0.351	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.646	0.354	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.638	0.362	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.633	0.366	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.629	0.370	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.618	0.382	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.617	0.383	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.611	0.389	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.591	0.409	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.587	0.413	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.573	0.427	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.572	0.428	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.567	0.433	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.565	0.435	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.554	0.446	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.550	0.450	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.533	0.467	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.532	0.468	0.001
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.531	0.469	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.530	0.470	0.001
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.466	0.534	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.463	0.537	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.454	0.546	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.447	0.552	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.444	0.555	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.413	0.587	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.400	0.600	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.388	0.612	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.613	0.387
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.377	0.623	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.372	0.628	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.368	0.632	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.365	0.635	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.360	0.640	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.354	0.646	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.342	0.658	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.337	0.663	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.317	0.683	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.313	0.687	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.305	0.695	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.288	0.712	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.285	0.714	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`	0.267	0.733	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.250	0.749	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.249	0.751	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.219	0.781	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.211	0.789	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.198	0.802	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.198	0.802	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.187	0.813	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.173	0.827	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.170	0.830	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.167	0.833	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.165	0.835	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.164	0.836	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.161	0.839	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.159	0.841	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.150	0.850	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.132	0.868	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.129	0.871	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.127	0.873	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.124	0.876	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.117	0.883	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.106	0.894	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.106	0.894	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.103	0.897	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.102	0.898	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.102	0.898	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.100	0.900	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.099	0.901	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.098	0.901	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.098	0.902	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.097	0.903	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.092	0.907	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.088	0.912	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.085	0.915	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.085	0.915	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.084	0.916	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.083	0.917	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.082	0.917	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.918	0.081
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.080	0.920	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.068	0.932	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.060	0.940	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.060	0.940	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.053	0.947	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.051	0.949	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.050	0.950	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.042	0.958	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.039	0.961	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.035	0.964	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.034	0.965	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.031	0.969	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.031	0.969	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.028	0.972	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.027	0.973	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.027	0.973	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.027	0.973	0.000
rs7823896 lBF = `0.00330636` Chr`8` : `110,217,266`	0.025	0.975	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.020	0.979	0.001
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.021	0.979	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.019	0.981	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.018	0.982	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.017	0.982	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.016	0.984	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.016	0.984	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.016	0.984	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.015	0.985	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.015	0.985	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.014	0.986	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.012	0.988	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.012	0.988	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.011	0.989	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.011	0.989	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.009	0.990	0.001
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.010	0.990	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.008	0.992	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.008	0.992	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.008	0.992	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.008	0.992	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.006	0.993	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs12541902 lBF = `1.19166` Chr`8` : `60,623,348`	0.000	0.994	0.006
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.006	0.994	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.006	0.994	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.006	0.994	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.005	0.994	0.000
rs3104888 lBF = `0.105305` Chr`8` : `96,621,168`	0.000	0.995	0.005
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.005	0.995	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.004	0.995	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.004	0.996	0.000
rs76115211 lBF = `-0.0328686` Chr`8` : `66,134,454`	0.000	0.996	0.004
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.004	0.996	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.004	0.996	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.004	0.996	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.004	0.996	0.000
rs12541491 lBF = `3.13816` Chr`8` : `10,250,048`	0.004	0.996	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.004	0.996	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.003	0.996	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.003	0.996	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.003	0.997	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.002	0.997	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.002	0.997	0.000
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.003	0.997	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.002	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.997	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.002	0.998	0.000
rs12681420 lBF = `-0.0543937` Chr`8` : `71,593,198`	0.002	0.998	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.998	0.002
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	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
rs3793427 lBF = `-0.0555615` Chr`8` : `17,143,830`	0.002	0.998	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.002	0.998	0.000
rs2738048 lBF = `0.13195` Chr`8` : `6,822,785`	0.002	0.998	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.002	0.998	0.000
rs2702888 lBF = `-0.0766788` Chr`8` : `6,765,032`	0.002	0.998	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.998	0.000
rs10957125 lBF = `-0.0793354` Chr`8` : `61,194,170`	0.000	0.998	0.002
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.001	0.999	0.000
rs1027730 lBF = `-0.0319836` Chr`8` : `94,085,539`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs1018836 lBF = `1.5813` Chr`8` : `91,570,362`	0.000	0.999	0.001
rs7832552 lBF = `0.545151` Chr`8` : `110,115,676`	0.000	0.999	0.001
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs7816032 lBF = `-0.0496174` Chr`8` : `19,786,891`	0.001	0.999	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.001	0.999	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.001	0.999	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.001	0.999	0.001
rs9987128 lBF = `0.0345873` Chr`8` : `2,980,123`	0.000	0.999	0.001
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
rs12546471 lBF = `0.253507` Chr`8` : `4,181,065`	0.001	0.999	0.000
rs4737547 lBF = `0.194995` Chr`8` : `60,545,664`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.001	0.999	0.000
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rs1051920 lBF = `5.52554` Chr`8` : `81,438,420`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs9987353 lBF = `0.199776` Chr`8` : `9,116,349`	0.000	1.000	0.000
rs6984242 lBF = `0.160784` Chr`8` : `60,700,469`	0.000	1.000	0.000
rs13267838 lBF = `0.00191318` Chr`8` : `25,196,710`	0.000	1.000	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs4875320 lBF = `-0.0133141` Chr`8` : `4,164,013`	0.000	1.000	0.000
rs6473383 lBF = `-0.0244863` Chr`8` : `83,669,120`	0.000	1.000	0.000
rs3019885 lBF = `-0.0732499` Chr`8` : `118,025,645`	0.000	1.000	0.000
rs17737465 lBF = `-0.114243` Chr`8` : `98,154,441`	0.000	1.000	0.000
rs10094872 lBF = `19.7764` Chr`8` : `128,719,884`	0.000	1.000	0.000
rs3802177 lBF = `15.0712` Chr`8` : `118,185,025`	0.000	1.000	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.000	1.000	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.000	1.000	0.000
rs16907751 lBF = `2.88109` Chr`8` : `81,375,457`	0.000	1.000	0.000
rs4642619 lBF = `1.51359` Chr`8` : `111,487,468`	0.000	1.000	0.000
rs36068923 lBF = `1.50278` Chr`8` : `111,485,761`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs6472155 lBF = `0.176679` Chr`8` : `65,730,207`	0.000	1.000	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	1.000	0.000
rs117933211 lBF = `0.115108` Chr`8` : `47,243,611`	0.000	1.000	0.000
rs76794758 lBF = `0.0753432` Chr`8` : `47,052,818`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs75545078 lBF = `0.0217198` Chr`8` : `122,950,878`	0.000	1.000	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	1.000	0.000
rs2721937 lBF = `-0.0210665` Chr`8` : `116,633,699`	0.000	1.000	0.000
rs332034 lBF = `-0.0244908` Chr`8` : `8,717,007`	0.000	1.000	0.000
rs4500123 lBF = `-0.0406507` Chr`8` : `92,970,153`	0.000	1.000	0.000
rs6999452 lBF = `-0.0453161` Chr`8` : `106,397,116`	0.000	1.000	0.000
rs3892512 lBF = `-0.102026` Chr`8` : `53,010,163`	0.000	1.000	0.000
rs1895885 lBF = `-0.102059` Chr`8` : `53,010,530`	0.000	1.000	0.000
rs3849811 lBF = `-0.102385` Chr`8` : `53,010,152`	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
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	1.000	0.000
rs11993814 lBF = `5.99138` Chr`8` : `81,389,791`	0.000	1.000	0.000
rs4077341 lBF = `1.2878` Chr`8` : `22,962,348`	0.000	1.000	0.000
rs4295623 lBF = `0.788904` Chr`8` : `11,522,784`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs1532423 lBF = `0.0695994` Chr`8` : `86,268,313`	0.000	1.000	0.000
rs55705857 lBF = `0.0449335` Chr`8` : `130,645,692`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	1.000	0.000
rs2347503 lBF = `0.00629633` Chr`8` : `32,232,827`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	1.000	0.000
rs73229090 lBF = `0.00150645` Chr`8` : `27,442,127`	0.000	1.000	0.000
rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	1.000	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.000	1.000	0.000
rs13273088 lBF = `-0.0230254` Chr`8` : `70,493,974`	0.000	1.000	0.000
rs13270892 lBF = `-0.0278743` Chr`8` : `20,497,183`	0.000	1.000	0.000
rs7820074 lBF = `-0.0388993` Chr`8` : `82,928,598`	0.000	1.000	0.000
rs9297357 lBF = `-0.0403271` Chr`8` : `106,142,333`	0.000	1.000	0.000
rs73660619 lBF = `-0.042229` Chr`8` : `3,088,173`	0.000	1.000	0.000
rs2943559 lBF = `-0.0440886` Chr`8` : `76,417,937`	0.000	1.000	0.000
rs6468852 lBF = `-0.0911449` Chr`8` : `103,975,989`	0.000	1.000	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.000	1.000	0.000
rs13266634 lBF = `14.9919` Chr`8` : `118,184,783`	0.000	1.000	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.000	1.000	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.000	1.000	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	1.000	0.000
rs2048656 lBF = `2.78992` Chr`8` : `9,644,659`	0.000	1.000	0.000
rs804280 lBF = `0.196526` Chr`8` : `11,612,698`	0.000	1.000	0.000
rs17189216 lBF = `0.067456` Chr`8` : `120,448,932`	0.000	1.000	0.000
rs13256095 lBF = `0.0584389` Chr`8` : `17,461,421`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.000	1.000	0.000
rs11991744 lBF = `0.00178314` Chr`8` : `124,659,329`	0.000	1.000	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	1.000	0.000
rs984440 lBF = `-0.0265342` Chr`8` : `139,077,728`	0.000	1.000	0.000
rs6988306 lBF = `-0.0272986` Chr`8` : `102,596,210`	0.000	1.000	0.000
rs7009516 lBF = `-0.0314287` Chr`8` : `24,208,847`	0.000	1.000	0.000
rs117880470 lBF = `-0.034689` Chr`8` : `6,933,373`	0.000	1.000	0.000
rs36056951 lBF = `-0.0362417` Chr`8` : `139,965,798`	0.000	1.000	0.000
rs11786458 lBF = `-0.0542127` Chr`8` : `40,252,701`	0.000	1.000	0.000
rs517811 lBF = `-0.0666965` Chr`8` : `102,944,863`	0.000	1.000	0.000
rs9650199 lBF = `-0.0671861` Chr`8` : `61,346,197`	0.000	1.000	0.000
rs12541437 lBF = `-0.072864` Chr`8` : `117,918,897`	0.000	1.000	0.000
rs7017212 lBF = `-0.0777989` Chr`8` : `10,022,938`	0.000	1.000	0.000
rs10101158 lBF = `-0.123915` Chr`8` : `142,881,966`	0.000	1.000	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.000	1.000	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.000	1.000	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.000	1.000	0.000
rs17232730 lBF = `1.30095` Chr`8` : `129,537,746`	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

0.6676

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9994

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9876

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9853

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9841

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9794

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9792

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9724

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9722

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9687

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9661

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9643

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9624

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9566

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9385

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9254

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9177

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9140

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9004

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8991

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8971

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8883

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8755

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8694

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8656

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8428

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8293

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8292

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8091

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7963

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7916

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7722

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7691

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7662

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7531

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7465

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7452

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7347

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7272

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7192

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6962

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6916

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6656

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6156

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6072

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6068

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6041

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6020

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6017

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5980

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5931

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5770

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5559

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5507

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5434

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5321

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5304

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5169

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4886

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4758

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4596

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4521

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4459

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4456

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4403

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4397

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4011

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3725

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3711

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3535

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2943

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2756

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2570

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2539

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2478

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2431

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2374

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1889

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1830

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1806

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1745

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1647

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1388

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1332

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1266

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1263

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1137

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1119

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1059

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0923

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0910

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0779

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0611

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0551

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0541

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`)