TreeWAS – [Z95.2] Presence of prosthetic heart valve

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
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.906	0.094	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.848	0.152	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.770	0.230	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.770	0.230	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.764	0.236	0.000
rs7461360 lBF = `1.91134` Chr`8` : `68,678,150`	0.758	0.242	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.752	0.248	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.733	0.267	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.711	0.289	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.702	0.298	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.681	0.319	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.668	0.332	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.334	0.666
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.641	0.359	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.641	0.359	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.613	0.387	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.609	0.391	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.603	0.396	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.598	0.402	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.572	0.428	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.553	0.446	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.527	0.473	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.524	0.476	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.523	0.477	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.516	0.484	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.506	0.494	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.461	0.539	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.458	0.542	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.435	0.564	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.391	0.609	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.377	0.623	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.367	0.633	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.329	0.671	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.329	0.671	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.327	0.673	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.321	0.679	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.318	0.682	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.316	0.684	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.306	0.694	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.291	0.708	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.284	0.716	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.280	0.720	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.279	0.721	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.259	0.741	0.000
rs2083637 lBF = `18.8278` Chr`8` : `19,865,175`	0.000	0.747	0.253
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.244	0.756	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.242	0.758	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.225	0.775	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.221	0.779	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.203	0.797	0.000
rs526533 lBF = `8.02143` Chr`8` : `102,891,233`	0.000	0.812	0.188
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.181	0.819	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs331 lBF = `17.9407` Chr`8` : `19,820,405`	0.000	0.833	0.167
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.167	0.833	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.163	0.837	0.000
rs1441756 lBF = `18.4586` Chr`8` : `19,868,386`	0.000	0.841	0.159
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.155	0.845	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.138	0.862	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.135	0.865	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.133	0.867	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.127	0.873	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.127	0.873	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.123	0.876	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.121	0.878	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.121	0.879	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.117	0.883	0.000
rs320 lBF = `15.1988` Chr`8` : `19,819,077`	0.000	0.884	0.116
rs17489373 lBF = `16.1189` Chr`8` : `19,855,344`	0.000	0.895	0.105
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.101	0.898	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.094	0.906	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.085	0.914	0.001
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.920	0.079
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.078	0.922	0.000
rs15285 lBF = `20.0574` Chr`8` : `19,824,667`	0.000	0.923	0.077
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.076	0.924	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.073	0.927	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.067	0.933	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.065	0.935	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.063	0.937	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.062	0.938	0.000
rs13702 lBF = `18.3151` Chr`8` : `19,824,492`	0.000	0.945	0.055
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.049	0.951	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.048	0.952	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.047	0.952	0.000
rs7386474 lBF = `-0.0657204` Chr`8` : `142,359,550`	0.000	0.953	0.047
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.043	0.956	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.041	0.959	0.001
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.041	0.959	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.038	0.962	0.000
rs4360309 lBF = `7.7722` Chr`8` : `126,523,523`	0.036	0.964	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.035	0.965	0.000
rs16937456 lBF = `-0.00258648` Chr`8` : `72,077,955`	0.035	0.965	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.031	0.969	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.031	0.969	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.030	0.969	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.030	0.970	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.029	0.971	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.028	0.972	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.026	0.974	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.026	0.974	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.026	0.974	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.024	0.976	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.022	0.978	0.000
rs326 lBF = `15.1404` Chr`8` : `19,819,439`	0.000	0.980	0.020
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.019	0.981	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.018	0.982	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.017	0.983	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.017	0.983	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.016	0.983	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.015	0.985	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.014	0.986	0.001
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.014	0.986	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.013	0.987	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.987	0.013
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.013	0.987	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.012	0.988	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.010	0.989	0.000
rs8180991 lBF = `0.184613` Chr`8` : `126,500,350`	0.010	0.990	0.000
rs13271465 lBF = `-0.00893756` Chr`8` : `17,282,411`	0.010	0.990	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.009	0.990	0.001
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.000	0.990	0.010
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.009	0.991	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.009	0.991	0.000
rs9297357 lBF = `-0.0403271` Chr`8` : `106,142,333`	0.009	0.991	0.000
rs11985951 lBF = `-0.01452` Chr`8` : `20,592,509`	0.008	0.992	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.008	0.992	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.008	0.992	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.008	0.992	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.992	0.008
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs2954021 lBF = `31.369` Chr`8` : `126,482,077`	0.000	0.993	0.007
rs641525 lBF = `0.0234936` Chr`8` : `2,740,502`	0.006	0.994	0.000
rs201466262 lBF = `-0.00045314` Chr`8` : `52,407,936`	0.000	0.994	0.006
rs13281609 lBF = `0.0126291` Chr`8` : `115,324,068`	0.006	0.994	0.000
rs13267838 lBF = `0.00191318` Chr`8` : `25,196,710`	0.000	0.995	0.005
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.005	0.995	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.005	0.995	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.005	0.995	0.000
rs6468544 lBF = `0.0553341` Chr`8` : `98,329,765`	0.005	0.995	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.004	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.004	0.996	0.000
rs117025875 lBF = `-0.0256854` Chr`8` : `6,999,135`	0.004	0.996	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.004	0.996	0.000
rs2638663 lBF = `0.0226118` Chr`8` : `18,673,731`	0.000	0.996	0.004
rs2221894 lBF = `-0.0862574` Chr`8` : `28,791,159`	0.000	0.996	0.004
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.003	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.000	0.996	0.004
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.003	0.997	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.003	0.997	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	0.997	0.003
rs6982502 lBF = `30.0104` Chr`8` : `126,479,362`	0.003	0.997	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.997	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.000	0.998	0.002
rs10875469 lBF = `-0.0805386` Chr`8` : `142,333,425`	0.000	0.998	0.002
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.002	0.998	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.002	0.998	0.000
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	0.002	0.998	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.000	0.998	0.002
rs10448080 lBF = `-0.103552` Chr`8` : `28,604,791`	0.002	0.998	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.002	0.998	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.002	0.998	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs62505227 lBF = `0.222927` Chr`8` : `40,287,249`	0.002	0.998	0.000
rs11775199 lBF = `0.033404` Chr`8` : `129,280,949`	0.000	0.998	0.002
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.002	0.998	0.000
rs17189216 lBF = `0.067456` Chr`8` : `120,448,932`	0.000	0.998	0.002
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.002	0.998	0.000
rs10216709 lBF = `6.56846` Chr`8` : `126,472,487`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.998	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.998	0.000
rs7003257 lBF = `-0.0304051` Chr`8` : `68,613,390`	0.000	0.998	0.002
rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.002	0.998	0.000
rs2001846 lBF = `27.8908` Chr`8` : `126,478,450`	0.000	0.999	0.001
rs1462872 lBF = `0.00560054` Chr`8` : `31,794,109`	0.001	0.999	0.000
rs17126232 lBF = `-0.0593424` Chr`8` : `17,977,650`	0.000	0.999	0.001
rs2936519 lBF = `0.0602152` Chr`8` : `6,639,240`	0.000	0.999	0.001
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	0.999	0.001
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.001	0.999	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.001	0.999	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.000	0.999	0.001
rs310272 lBF = `-0.0279691` Chr`8` : `23,643,489`	0.000	0.999	0.001
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs2468677 lBF = `0.115259` Chr`8` : `140,519,517`	0.001	0.999	0.000
rs11776767 lBF = `2.39336` Chr`8` : `10,683,929`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs2001945 lBF = `27.7438` Chr`8` : `126,477,978`	0.001	0.999	0.000
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rs7829759 lBF = `0.0147051` Chr`8` : `3,147,359`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs7822058 lBF = `-0.0416773` Chr`8` : `53,684,861`	0.000	1.000	0.000
rs1442407 lBF = `-0.0522984` Chr`8` : `3,091,584`	0.000	1.000	0.000
rs956225 lBF = `-0.0659505` Chr`8` : `122,909,687`	0.000	1.000	0.000
rs62494762 lBF = `-0.0668579` Chr`8` : `5,373,540`	0.000	1.000	0.000
rs1551398 lBF = `-0.0695463` Chr`8` : `126,540,051`	0.000	1.000	0.000
rs4871611 lBF = `-0.0740677` Chr`8` : `126,537,570`	0.000	1.000	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	1.000	0.000
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.000	1.000	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.000	1.000	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.000	1.000	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	1.000	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.000	1.000	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.000	1.000	0.000
rs35820208 lBF = `-0.0322041` Chr`8` : `94,916,103`	0.000	1.000	0.000
rs13272236 lBF = `-0.0471007` Chr`8` : `51,384,987`	0.000	1.000	0.000
rs13279485 lBF = `-0.0737486` Chr`8` : `1,883,352`	0.000	1.000	0.000
rs2066940 lBF = `-0.101765` Chr`8` : `21,190,268`	0.000	1.000	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	1.000	0.000
rs2437772 lBF = `1.06798` Chr`8` : `97,512,977`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	1.000	0.000
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.000	1.000	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	1.000	0.000
rs2002030 lBF = `-0.0219667` Chr`8` : `11,276,542`	0.000	1.000	0.000
rs1351356 lBF = `-0.0226904` Chr`8` : `118,600,122`	0.000	1.000	0.000
rs11166629 lBF = `-0.0444364` Chr`8` : `135,636,964`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.000	1.000	0.000
rs7821178 lBF = `1.10482` Chr`8` : `78,093,837`	0.000	1.000	0.000
rs9987289 lBF = `1.05596` Chr`8` : `9,183,358`	0.000	1.000	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	1.000	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	1.000	0.000
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	1.000	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	1.000	0.000
rs7825271 lBF = `-0.0345897` Chr`8` : `69,563,695`	0.000	1.000	0.000
rs1036821 lBF = `-0.0350258` Chr`8` : `135,650,483`	0.000	1.000	0.000
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.000	1.000	0.000
rs1349547 lBF = `-0.0562944` Chr`8` : `39,548,378`	0.000	1.000	0.000
rs9969524 lBF = `-0.0972992` Chr`8` : `88,746,846`	0.000	1.000	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.000	1.000	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.000	1.000	0.000
rs7832357 lBF = `8.58116` Chr`8` : `126,516,197`	0.000	1.000	0.000
rs7006821 lBF = `0.750614` Chr`8` : `72,270,082`	0.000	1.000	0.000
rs643472 lBF = `0.195951` Chr`8` : `29,153,777`	0.000	1.000	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs16936870 lBF = `0.00222212` Chr`8` : `71,189,342`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs4500123 lBF = `-0.0406507` Chr`8` : `92,970,153`	0.000	1.000	0.000
rs17232789 lBF = `-0.0673264` Chr`8` : `122,622,500`	0.000	1.000	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.000	1.000	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.000	1.000	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs7009110 lBF = `4.68843` Chr`8` : `81,291,879`	0.000	1.000	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.000	1.000	0.000
rs7834018 lBF = `0.188881` Chr`8` : `72,561,742`	0.000	1.000	0.000
rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	0.000	1.000	0.000
rs11778329 lBF = `0.077655` Chr`8` : `49,053,165`	0.000	1.000	0.000
rs7822239 lBF = `-0.00253758` Chr`8` : `133,119,961`	0.000	1.000	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs10091374 lBF = `-0.0497464` Chr`8` : `71,386,904`	0.000	1.000	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.000	1.000	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.000	1.000	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	1.000	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.000	1.000	0.000
rs295 lBF = `5.95375` Chr`8` : `19,816,238`	0.000	1.000	0.000
rs301 lBF = `5.37678` Chr`8` : `19,816,934`	0.000	1.000	0.000
rs6473227 lBF = `4.79247` Chr`8` : `81,285,892`	0.000	1.000	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.000	1.000	0.000
rs10108033 lBF = `0.0622048` Chr`8` : `132,330,716`	0.000	1.000	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.000	1.000	0.000
rs4922265 lBF = `0.00141826` Chr`8` : `16,996,435`	0.000	1.000	0.000
rs4921617 lBF = `-0.0100612` Chr`8` : `18,782,047`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs2551043 lBF = `-0.0346339` Chr`8` : `3,189,896`	0.000	1.000	0.000
rs2844036 lBF = `-0.0370529` Chr`8` : `101,514,577`	0.000	1.000	0.000
rs591323 lBF = `-0.0377273` Chr`8` : `16,697,091`	0.000	1.000	0.000
rs73660619 lBF = `-0.042229` Chr`8` : `3,088,173`	0.000	1.000	0.000
rs12677663 lBF = `-0.054517` Chr`8` : `74,007,347`	0.000	1.000	0.000
rs1909881 lBF = `-0.0599299` Chr`8` : `96,515,888`	0.000	1.000	0.000
rs1446682 lBF = `-0.0866074` Chr`8` : `27,076,598`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	1.000	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	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 X0112

log Bayes Factor = 98.8923

contains 7 variants

0.9996

Cluster X0096

log Bayes Factor = 8.06962

contains 1 variants

0.9655

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.6885

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5436

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1399

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

1.0000

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9999

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9998

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9992

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9976

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9976

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9973

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9968

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9965

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9938

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9914

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9907

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9882

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9810

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9787

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9783

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9771

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9606

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9583

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9542

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9474

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9385

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9335

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9117

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9107

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.8835

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8718

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8377

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8284

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8148

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8144

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8065

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7986

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7941

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7503

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7410

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7318

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7239

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7183

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6754

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6586

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.6449

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6195

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5995

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5935

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5692

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5475

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5087

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4648

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4582

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.4075

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3991

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3946

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3456

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2876

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2419

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2382

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2080

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1971

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1844

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1711

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.1663

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1440

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1393

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1229

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1050

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0871

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0787

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0663

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0651

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0643

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0635

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0629

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0612

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0608

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0564

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0561

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`)