TreeWAS – [Z95.4] Presence of other heart-valve replacement

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`	0.878	0.122	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.834	0.166	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.824	0.176	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.794	0.206	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.770	0.230	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.739	0.261	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.736	0.264	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.709	0.291	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.703	0.296	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.703	0.296	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.695	0.305	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.679	0.321	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.334	0.666
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.653	0.347	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.624	0.376	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.610	0.390	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.609	0.391	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.602	0.398	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.574	0.426	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.554	0.446	0.000
rs7461360 lBF = `1.91134` Chr`8` : `68,678,150`	0.532	0.468	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.512	0.487	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.492	0.508	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.487	0.513	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.466	0.533	0.001
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.465	0.535	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.463	0.537	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.443	0.556	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.427	0.572	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.412	0.588	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.403	0.597	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.390	0.609	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.388	0.612	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.376	0.624	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.370	0.630	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.360	0.639	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.356	0.644	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.349	0.651	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.326	0.674	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.323	0.677	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.310	0.690	0.000
rs526533 lBF = `8.02143` Chr`8` : `102,891,233`	0.000	0.706	0.294
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.284	0.716	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.267	0.733	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.266	0.734	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.264	0.736	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.225	0.775	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.216	0.784	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.210	0.790	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.173	0.827	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.158	0.842	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.157	0.843	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.156	0.844	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.155	0.845	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.152	0.848	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.149	0.851	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.136	0.864	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.133	0.867	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.120	0.880	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.114	0.886	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.112	0.888	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.094	0.906	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.089	0.910	0.001
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.920	0.079
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.077	0.922	0.001
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.076	0.924	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.071	0.929	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.071	0.929	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.068	0.932	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.067	0.933	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.062	0.938	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.061	0.939	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.059	0.941	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.059	0.941	0.000
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.059	0.941	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.055	0.945	0.000
rs2083637 lBF = `18.8278` Chr`8` : `19,865,175`	0.000	0.947	0.053
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.053	0.947	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.048	0.952	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.047	0.953	0.000
rs641525 lBF = `0.0234936` Chr`8` : `2,740,502`	0.046	0.954	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.041	0.959	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.040	0.960	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.039	0.961	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.038	0.962	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.038	0.962	0.000
rs1441756 lBF = `18.4586` Chr`8` : `19,868,386`	0.000	0.963	0.037
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.032	0.968	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.030	0.970	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.029	0.971	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.028	0.972	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.025	0.975	0.000
rs17489373 lBF = `16.1189` Chr`8` : `19,855,344`	0.000	0.976	0.024
rs9297357 lBF = `-0.0403271` Chr`8` : `106,142,333`	0.023	0.977	0.000
rs331 lBF = `17.9407` Chr`8` : `19,820,405`	0.000	0.978	0.022
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.022	0.978	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.022	0.978	0.000
rs13281609 lBF = `0.0126291` Chr`8` : `115,324,068`	0.022	0.978	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.019	0.981	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.019	0.981	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.019	0.981	0.000
rs320 lBF = `15.1988` Chr`8` : `19,819,077`	0.000	0.981	0.018
rs2220321 lBF = `2.73724` Chr`8` : `127,911,596`	0.000	0.983	0.017
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.017	0.983	0.000
rs13275219 lBF = `6.32362` Chr`8` : `81,259,826`	0.017	0.983	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.015	0.985	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.015	0.985	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.014	0.986	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.013	0.987	0.001
rs4871750 lBF = `2.92135` Chr`8` : `127,902,003`	0.000	0.987	0.013
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.013	0.987	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.013	0.987	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.012	0.987	0.001
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.988	0.011
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.010	0.989	0.001
rs6473223 lBF = `6.12391` Chr`8` : `81,268,155`	0.000	0.989	0.011
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.010	0.989	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.010	0.990	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.010	0.990	0.000
rs15285 lBF = `20.0574` Chr`8` : `19,824,667`	0.000	0.990	0.010
rs630662 lBF = `-0.0952354` Chr`8` : `108,972,298`	0.000	0.990	0.010
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.010	0.990	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.990	0.010
rs10091374 lBF = `-0.0497464` Chr`8` : `71,386,904`	0.000	0.990	0.010
rs7000782 lBF = `2.68223` Chr`8` : `81,308,150`	0.008	0.992	0.000
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
rs2954021 lBF = `31.369` Chr`8` : `126,482,077`	0.000	0.993	0.007
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.007	0.993	0.000
rs13702 lBF = `18.3151` Chr`8` : `19,824,492`	0.000	0.993	0.007
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.006	0.994	0.000
rs201466262 lBF = `-0.00045314` Chr`8` : `52,407,936`	0.000	0.994	0.006
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.006	0.994	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.006	0.994	0.000
rs4922265 lBF = `0.00141826` Chr`8` : `16,996,435`	0.000	0.994	0.006
rs13271465 lBF = `-0.00893756` Chr`8` : `17,282,411`	0.006	0.994	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	0.994	0.006
rs11998649 lBF = `0.0383106` Chr`8` : `22,619,551`	0.006	0.994	0.000
rs7386474 lBF = `-0.0657204` Chr`8` : `142,359,550`	0.000	0.995	0.005
rs13267838 lBF = `0.00191318` Chr`8` : `25,196,710`	0.000	0.995	0.005
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.000	0.995	0.005
rs4493873 lBF = `-0.0878362` Chr`8` : `92,075,643`	0.005	0.995	0.000
rs7009110 lBF = `4.68843` Chr`8` : `81,291,879`	0.000	0.995	0.005
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.004	0.995	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.004	0.996	0.000
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.000	0.996	0.004
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.004	0.996	0.000
rs6986153 lBF = `1.30611` Chr`8` : `108,072,044`	0.000	0.996	0.004
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs6473227 lBF = `4.79247` Chr`8` : `81,285,892`	0.000	0.997	0.003
rs1442407 lBF = `-0.0522984` Chr`8` : `3,091,584`	0.003	0.997	0.000
rs326 lBF = `15.1404` Chr`8` : `19,819,439`	0.000	0.997	0.003
rs11985951 lBF = `-0.01452` Chr`8` : `20,592,509`	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
rs117025875 lBF = `-0.0256854` Chr`8` : `6,999,135`	0.003	0.997	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.002	0.997	0.000
rs6982502 lBF = `30.0104` Chr`8` : `126,479,362`	0.003	0.997	0.000
rs12542166 lBF = `-0.03426` Chr`8` : `122,982,838`	0.002	0.998	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs11781551 lBF = `-0.0976676` Chr`8` : `123,408,091`	0.000	0.998	0.002
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.002	0.998	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.002	0.998	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.002	0.998	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.002	0.998	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.000	0.998	0.002
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.002	0.998	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.002	0.998	0.000
rs6998277 lBF = `-0.0997472` Chr`8` : `103,639,941`	0.000	0.998	0.002
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs4500123 lBF = `-0.0406507` Chr`8` : `92,970,153`	0.002	0.998	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.002	0.998	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs11776272 lBF = `-0.0067885` Chr`8` : `21,884,544`	0.002	0.998	0.000
rs2001846 lBF = `27.8908` Chr`8` : `126,478,450`	0.000	0.998	0.002
rs11782652 lBF = `-0.0242561` Chr`8` : `82,653,644`	0.002	0.998	0.000
rs1462872 lBF = `0.00560054` Chr`8` : `31,794,109`	0.002	0.998	0.000
rs7003257 lBF = `-0.0304051` Chr`8` : `68,613,390`	0.000	0.998	0.002
rs16886173 lBF = `-0.0385252` Chr`8` : `115,620,460`	0.002	0.998	0.000
rs2705293 lBF = `-0.0399492` Chr`8` : `138,918,945`	0.002	0.998	0.000
rs2514843 lBF = `6.52694` Chr`8` : `109,063,434`	0.002	0.998	0.000
rs3108919 lBF = `-0.0535203` Chr`8` : `101,841,546`	0.002	0.998	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.998	0.000
rs2638663 lBF = `0.0226118` Chr`8` : `18,673,731`	0.000	0.998	0.002
rs147410223 lBF = `-0.0317068` Chr`8` : `23,507,379`	0.002	0.998	0.000
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.000	0.998	0.002
rs2001945 lBF = `27.7438` Chr`8` : `126,477,978`	0.002	0.998	0.000
rs7011507 lBF = `-0.0303419` Chr`8` : `49,129,242`	0.001	0.999	0.000
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rs13340561 lBF = `-0.00345309` Chr`8` : `16,058,905`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs2851394 lBF = `-0.0364814` Chr`8` : `107,579,392`	0.000	1.000	0.000
rs1469039 lBF = `-0.0366272` Chr`8` : `140,651,779`	0.000	1.000	0.000
rs7002619 lBF = `-0.0428105` Chr`8` : `16,065,557`	0.000	1.000	0.000
rs6559140 lBF = `-0.0639266` Chr`8` : `6,152,919`	0.000	1.000	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.000	1.000	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.000	1.000	0.000
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	1.000	0.000
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.000	1.000	0.000
rs12155623 lBF = `-0.0839085` Chr`8` : `49,812,201`	0.000	1.000	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.000	1.000	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.000	1.000	0.000
rs10216709 lBF = `6.56846` Chr`8` : `126,472,487`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs7846606 lBF = `0.0546693` Chr`8` : `77,507,613`	0.000	1.000	0.000
rs36116061 lBF = `0.0224256` Chr`8` : `89,373,327`	0.000	1.000	0.000
rs2645424 lBF = `-0.0610044` Chr`8` : `11,684,463`	0.000	1.000	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.000	1.000	0.000
rs7016880 lBF = `3.47103` Chr`8` : `19,876,746`	0.000	1.000	0.000
rs2014357 lBF = `0.0898175` Chr`8` : `133,103,290`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs17189216 lBF = `0.067456` Chr`8` : `120,448,932`	0.000	1.000	0.000
rs11787341 lBF = `0.0273871` Chr`8` : `19,102,564`	0.000	1.000	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs10098310 lBF = `-0.0420834` Chr`8` : `130,613,614`	0.000	1.000	0.000
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.000	1.000	0.000
rs2954033 lBF = `27.3604` Chr`8` : `126,493,746`	0.000	1.000	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.000	1.000	0.000
rs4733724 lBF = `4.55679` Chr`8` : `130,723,728`	0.000	1.000	0.000
rs6470764 lBF = `4.32028` Chr`8` : `130,725,665`	0.000	1.000	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	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
rs298182 lBF = `0.432076` Chr`8` : `65,303,535`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs2944755 lBF = `0.0852789` Chr`8` : `141,574,194`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	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
rs112505062 lBF = `-0.0224138` Chr`8` : `96,293,103`	0.000	1.000	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.000	1.000	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.000	1.000	0.000
rs2062078 lBF = `4.27827` Chr`8` : `130,734,461`	0.000	1.000	0.000
rs10110943 lBF = `0.377205` Chr`8` : `18,612,612`	0.000	1.000	0.000
rs9987128 lBF = `0.0345873` Chr`8` : `2,980,123`	0.000	1.000	0.000
rs3764796 lBF = `0.00828194` Chr`8` : `17,157,677`	0.000	1.000	0.000
rs10112481 lBF = `-0.0145767` Chr`8` : `4,875,172`	0.000	1.000	0.000
rs2195588 lBF = `-0.0291008` Chr`8` : `40,356,700`	0.000	1.000	0.000
rs1027730 lBF = `-0.0319836` Chr`8` : `94,085,539`	0.000	1.000	0.000
rs279612 lBF = `-0.0391292` Chr`8` : `122,706,291`	0.000	1.000	0.000
rs1042992 lBF = `-0.0604619` Chr`8` : `26,269,191`	0.000	1.000	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.000	1.000	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.000	1.000	0.000
rs6991347 lBF = `8.62128` Chr`8` : `25,756,681`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.000	1.000	0.000
rs611744 lBF = `7.81856` Chr`8` : `109,228,008`	0.000	1.000	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	1.000	0.000
rs325 lBF = `5.51521` Chr`8` : `19,819,328`	0.000	1.000	0.000
rs1059611 lBF = `3.30576` Chr`8` : `19,824,563`	0.000	1.000	0.000
rs6601530 lBF = `1.87772` Chr`8` : `10,671,272`	0.000	1.000	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	1.000	0.000
rs1375785 lBF = `0.185641` Chr`8` : `83,991,231`	0.000	1.000	0.000
rs6468544 lBF = `0.0553341` Chr`8` : `98,329,765`	0.000	1.000	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	1.000	0.000
rs2648875 lBF = `0.0245957` Chr`8` : `129,072,161`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	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
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs72663955 lBF = `-0.00745377` Chr`8` : `71,139,330`	0.000	1.000	0.000
rs4732957 lBF = `-0.0504621` Chr`8` : `26,718,880`	0.000	1.000	0.000
rs12677663 lBF = `-0.054517` Chr`8` : `74,007,347`	0.000	1.000	0.000
rs218361 lBF = `-0.0958539` Chr`8` : `116,110,725`	0.000	1.000	0.000
rs7006527 lBF = `21.6364` Chr`8` : `101,024,505`	0.000	1.000	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.000	1.000	0.000
rs115849089 lBF = `6.47166` Chr`8` : `19,912,370`	0.000	1.000	0.000
rs16936455 lBF = `0.324153` Chr`8` : `70,724,754`	0.000	1.000	0.000
rs2278491 lBF = `0.182751` Chr`8` : `117,656,871`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.000	1.000	0.000
rs16902328 lBF = `0.0227453` Chr`8` : `128,713,873`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs4295627 lBF = `-0.0634004` Chr`8` : `130,685,457`	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

1.0000

Cluster X0096

log Bayes Factor = 8.06962

contains 1 variants

0.9389

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7277

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3466

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2817

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9999

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9998

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9995

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9994

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9985

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9984

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9983

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9963

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9918

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9917

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9897

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9877

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9871

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9865

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9825

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9758

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9702

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9660

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9643

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9626

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9469

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9461

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9431

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9068

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8841

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8757

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8683

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8623

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8601

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8412

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8349

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8309

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7972

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7465

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7208

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6531

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6502

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6436

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6252

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6056

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6026

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5319

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5313

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.5238

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.4825

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4708

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4492

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4489

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4478

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3966

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3884

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3749

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3578

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3284

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3254

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3239

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2761

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2751

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2679

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2509

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2299

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2268

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2043

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1976

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1828

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1621

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1527

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1217

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0930

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0919

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0905

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0890

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0841

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0824

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0653

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0588

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0525

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`)