TreeWAS – [Z95.8] Presence of other cardiac and vascular implants and grafts

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
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.977	0.023	0.000
rs7461360 lBF = `1.91134` Chr`8` : `68,678,150`	0.934	0.066	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.910	0.090	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.823	0.177	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.806	0.194	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.765	0.235	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.764	0.236	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.744	0.256	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.730	0.270	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.722	0.278	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.691	0.309	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.677	0.323	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.334	0.666
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.653	0.347	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.644	0.356	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.638	0.362	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.616	0.384	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.608	0.392	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.594	0.406	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.591	0.409	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.565	0.435	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.542	0.458	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.510	0.490	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.510	0.490	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.498	0.502	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.481	0.519	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.467	0.533	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.459	0.541	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.457	0.543	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.373	0.626	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.355	0.645	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.352	0.648	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.332	0.668	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.330	0.670	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.319	0.681	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.304	0.695	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.284	0.716	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.272	0.728	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.271	0.729	0.000
rs2083637 lBF = `18.8278` Chr`8` : `19,865,175`	0.000	0.732	0.268
rs526533 lBF = `8.02143` Chr`8` : `102,891,233`	0.000	0.785	0.215
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.206	0.794	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.202	0.798	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.201	0.799	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.199	0.801	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.194	0.806	0.000
rs331 lBF = `17.9407` Chr`8` : `19,820,405`	0.000	0.812	0.188
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.185	0.815	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.182	0.818	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.179	0.820	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.168	0.832	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.165	0.835	0.000
rs1441756 lBF = `18.4586` Chr`8` : `19,868,386`	0.000	0.836	0.164
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.158	0.842	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.143	0.857	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.135	0.865	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.128	0.872	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.125	0.875	0.000
rs320 lBF = `15.1988` Chr`8` : `19,819,077`	0.000	0.876	0.124
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.116	0.884	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.114	0.886	0.000
rs17489373 lBF = `16.1189` Chr`8` : `19,855,344`	0.000	0.891	0.109
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.109	0.891	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.107	0.892	0.001
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.102	0.898	0.000
rs15285 lBF = `20.0574` Chr`8` : `19,824,667`	0.000	0.904	0.096
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.095	0.905	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.091	0.909	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.082	0.917	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.917	0.082
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.081	0.919	0.000
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.080	0.920	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.071	0.929	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.068	0.932	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.067	0.933	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.065	0.934	0.001
rs13702 lBF = `18.3151` Chr`8` : `19,824,492`	0.000	0.939	0.061
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.058	0.942	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.054	0.945	0.001
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.051	0.949	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.047	0.953	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.046	0.953	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.045	0.954	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.043	0.957	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.040	0.960	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.039	0.961	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.038	0.962	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.037	0.963	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.034	0.966	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.033	0.967	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.033	0.967	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.032	0.968	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.031	0.969	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.029	0.971	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.028	0.972	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.025	0.975	0.000
rs326 lBF = `15.1404` Chr`8` : `19,819,439`	0.000	0.978	0.022
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.021	0.979	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.021	0.979	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.020	0.980	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.018	0.981	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.019	0.981	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.018	0.981	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.018	0.981	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.017	0.983	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.016	0.984	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.015	0.985	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.986	0.014
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.014	0.986	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.014	0.986	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.014	0.986	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.011	0.988	0.001
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.988	0.012
rs11985951 lBF = `-0.01452` Chr`8` : `20,592,509`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.010	0.989	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.010	0.990	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.009	0.990	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.009	0.991	0.000
rs7822232 lBF = `-0.0334663` Chr`8` : `145,145,687`	0.009	0.991	0.000
rs6558295 lBF = `-0.0338702` Chr`8` : `145,139,522`	0.009	0.991	0.000
rs12550729 lBF = `-0.0322055` Chr`8` : `145,155,408`	0.000	0.992	0.008
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.000	0.992	0.008
rs2954021 lBF = `31.369` Chr`8` : `126,482,077`	0.000	0.992	0.008
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.007	0.993	0.000
rs9297357 lBF = `-0.0403271` Chr`8` : `106,142,333`	0.007	0.993	0.000
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.000	0.993	0.007
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.007	0.993	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.007	0.993	0.000
rs2627282 lBF = `-0.0260288` Chr`8` : `2,780,956`	0.007	0.993	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.006	0.994	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.006	0.994	0.000
rs10090117 lBF = `-0.0627887` Chr`8` : `18,381,235`	0.000	0.994	0.006
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.005	0.995	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.005	0.995	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.005	0.995	0.000
rs2122469 lBF = `0.150923` Chr`8` : `20,626,321`	0.000	0.995	0.005
rs12680109 lBF = `-0.0583257` Chr`8` : `70,809,261`	0.000	0.995	0.005
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	0.996	0.004
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.004	0.996	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.004	0.996	0.000
rs1604897 lBF = `-0.0224457` Chr`8` : `122,182,310`	0.000	0.996	0.004
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.003	0.996	0.000
rs7386474 lBF = `-0.0657204` Chr`8` : `142,359,550`	0.000	0.996	0.004
rs17667932 lBF = `0.20904` Chr`8` : `118,549,376`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.000	0.997	0.003
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.003	0.997	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.003	0.997	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.000	0.997	0.003
rs117025875 lBF = `-0.0256854` Chr`8` : `6,999,135`	0.003	0.997	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.003	0.997	0.000
rs641525 lBF = `0.0234936` Chr`8` : `2,740,502`	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
rs7837688 lBF = `15.6076` Chr`8` : `128,539,360`	0.000	0.997	0.003
rs11781551 lBF = `-0.0976676` Chr`8` : `123,408,091`	0.000	0.997	0.003
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.002	0.997	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.000	0.998	0.002
rs13251954 lBF = `-0.131242` Chr`8` : `28,995,022`	0.000	0.998	0.002
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.002	0.998	0.000
rs7003257 lBF = `-0.0304051` Chr`8` : `68,613,390`	0.000	0.998	0.002
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.002	0.998	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs13267838 lBF = `0.00191318` Chr`8` : `25,196,710`	0.000	0.998	0.002
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	0.998	0.002
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.002	0.998	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs62505227 lBF = `0.222927` Chr`8` : `40,287,249`	0.002	0.998	0.000
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.002	0.998	0.000
rs6982502 lBF = `30.0104` Chr`8` : `126,479,362`	0.002	0.998	0.000
rs2197089 lBF = `0.0117238` Chr`8` : `19,826,373`	0.000	0.998	0.002
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.002	0.998	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs2954038 lBF = `34.2663` Chr`8` : `126,507,389`	0.002	0.998	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	0.998	0.002
rs903027 lBF = `0.0196467` Chr`8` : `62,409,428`	0.000	0.998	0.002
rs1912816 lBF = `0.0607353` Chr`8` : `114,873,380`	0.000	0.998	0.002
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs201466262 lBF = `-0.00045314` Chr`8` : `52,407,936`	0.000	0.998	0.002
rs12681963 lBF = `-0.0465827` Chr`8` : `29,982,518`	0.000	0.998	0.002
rs11995572 lBF = `0.255395` Chr`8` : `89,592,083`	0.000	0.998	0.002
rs2954031 lBF = `29.4155` Chr`8` : `126,491,733`	0.000	0.998	0.002
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.998	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.002	0.998	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.002	0.998	0.000
rs2001846 lBF = `27.8908` Chr`8` : `126,478,450`	0.000	0.999	0.001
rs6651252 lBF = `1.51073` Chr`8` : `129,567,181`	0.000	0.999	0.001
rs12542759 lBF = `-0.0740763` Chr`8` : `133,034,837`	0.000	0.999	0.001
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.001	0.999	0.000
rs11776767 lBF = `2.39336` Chr`8` : `10,683,929`	0.000	0.999	0.001
rs2055729 lBF = `0.793112` Chr`8` : `9,792,662`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
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rs10956483 lBF = `0.0260254` Chr`8` : `130,572,110`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	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
rs2002030 lBF = `-0.0219667` Chr`8` : `11,276,542`	0.000	1.000	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.000	1.000	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.000	1.000	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.000	1.000	0.000
rs7016880 lBF = `3.47103` Chr`8` : `19,876,746`	0.000	1.000	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.000	1.000	0.000
rs11780156 lBF = `0.562409` Chr`8` : `129,194,641`	0.000	1.000	0.000
rs7812879 lBF = `0.0541953` Chr`8` : `11,340,181`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs77742018 lBF = `0.00312351` Chr`8` : `96,504,472`	0.000	1.000	0.000
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.000	1.000	0.000
rs12682527 lBF = `-0.0265521` Chr`8` : `21,321,004`	0.000	1.000	0.000
rs1532278 lBF = `-0.0888109` Chr`8` : `27,466,315`	0.000	1.000	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	1.000	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	1.000	0.000
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.000	1.000	0.000
rs295 lBF = `5.95375` Chr`8` : `19,816,238`	0.000	1.000	0.000
rs13255292 lBF = `4.14008` Chr`8` : `129,076,573`	0.000	1.000	0.000
rs79236614 lBF = `2.78621` Chr`8` : `19,860,460`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.000	1.000	0.000
rs117044419 lBF = `0.184407` Chr`8` : `47,406,616`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.000	1.000	0.000
rs4734806 lBF = `0.0295291` Chr`8` : `105,700,680`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs10110287 lBF = `-0.00831101` Chr`8` : `21,487,130`	0.000	1.000	0.000
rs10109414 lBF = `-0.0599891` Chr`8` : `23,751,151`	0.000	1.000	0.000
rs3019885 lBF = `-0.0732499` Chr`8` : `118,025,645`	0.000	1.000	0.000
rs10958369 lBF = `-0.0743503` Chr`8` : `54,410,208`	0.000	1.000	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	1.000	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.000	1.000	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.000	1.000	0.000
rs10097669 lBF = `0.53036` Chr`8` : `4,437,465`	0.000	1.000	0.000
rs16894459 lBF = `0.0605727` Chr`8` : `97,327,679`	0.000	1.000	0.000
rs10958476 lBF = `0.00838987` Chr`8` : `57,095,808`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs263232 lBF = `-0.00009044` Chr`8` : `131,808,169`	0.000	1.000	0.000
rs16910486 lBF = `-0.0606078` Chr`8` : `140,352,359`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.000	1.000	0.000
rs284489 lBF = `0.156258` Chr`8` : `105,958,020`	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
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs12542166 lBF = `-0.03426` Chr`8` : `122,982,838`	0.000	1.000	0.000
rs3758086 lBF = `-0.0657234` Chr`8` : `23,714,992`	0.000	1.000	0.000
rs980238 lBF = `-0.0774097` Chr`8` : `4,282,618`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.000	1.000	0.000
rs10086908 lBF = `3.53715` Chr`8` : `128,011,937`	0.000	1.000	0.000
rs1160133 lBF = `0.301225` Chr`8` : `59,305,290`	0.000	1.000	0.000
rs284491 lBF = `0.0426404` Chr`8` : `105,958,633`	0.000	1.000	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	1.000	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	1.000	0.000
rs3115775 lBF = `0.0195883` Chr`8` : `118,707,726`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs17749211 lBF = `-0.00886405` Chr`8` : `119,391,409`	0.000	1.000	0.000
rs1027730 lBF = `-0.0319836` Chr`8` : `94,085,539`	0.000	1.000	0.000
rs28526159 lBF = `-0.0336001` Chr`8` : `19,891,227`	0.000	1.000	0.000
rs17786744 lBF = `-0.0575992` Chr`8` : `23,777,006`	0.000	1.000	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.000	1.000	0.000
rs1551398 lBF = `-0.0695463` Chr`8` : `126,540,051`	0.000	1.000	0.000
rs921720 lBF = `-0.07194` Chr`8` : `126,534,671`	0.000	1.000	0.000
rs10956252 lBF = `-0.0720595` Chr`8` : `126,536,137`	0.000	1.000	0.000
rs4871611 lBF = `-0.0740677` Chr`8` : `126,537,570`	0.000	1.000	0.000
rs4875053 lBF = `-0.0791384` Chr`8` : `144,872,411`	0.000	1.000	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.000	1.000	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.000	1.000	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.000	1.000	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.000	1.000	0.000
rs1059611 lBF = `3.30576` Chr`8` : `19,824,563`	0.000	1.000	0.000
rs17482753 lBF = `3.23105` Chr`8` : `19,832,646`	0.000	1.000	0.000
rs7832232 lBF = `0.38776` Chr`8` : `38,469,303`	0.000	1.000	0.000
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs144606178 lBF = `-0.0402931` Chr`8` : `1,299,878`	0.000	1.000	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	1.000	0.000
rs4875102 lBF = `-0.06731` Chr`8` : `4,284,692`	0.000	1.000	0.000
rs2616978 lBF = `-0.0674609` Chr`8` : `4,478,344`	0.000	1.000	0.000
rs13279799 lBF = `-0.0725572` Chr`8` : `117,541,607`	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
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.000	1.000	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.000	1.000	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.000	1.000	0.000
rs12678919 lBF = `1.74917` Chr`8` : `19,844,222`	0.000	1.000	0.000
rs10503669 lBF = `1.21694` Chr`8` : `19,847,690`	0.000	1.000	0.000
rs298182 lBF = `0.432076` Chr`8` : `65,303,535`	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

0.9991

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.9978

Cluster X0034

log Bayes Factor = 665.104

contains 16 variants

0.9823

Cluster X0096

log Bayes Factor = 8.06962

contains 1 variants

0.4744

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4441

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0918

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

1.0000

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

1.0000

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

1.0000

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

1.0000

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

1.0000

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9999

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9999

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9998

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9997

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9996

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9990

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9985

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9981

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9974

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9974

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9936

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9927

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9904

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.9887

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9863

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9844

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9781

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9769

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9644

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9568

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9134

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9134

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.9120

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8850

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8818

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8768

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8723

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8483

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7973

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.7910

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7781

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7035

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6924

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5960

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5876

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5682

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5506

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5259

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5027

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4296

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4161

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4017

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3969

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3373

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3364

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3019

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.2771

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2717

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2498

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2070

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1945

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1849

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1501

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1482

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1388

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1188

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1167

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1018

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0880

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0805

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0759

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0619

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0592

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0520

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0502

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`)