TreeWAS – [Z95.9] Presence of cardiac and vascular implant and graft, unspecified

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
rs7461360 lBF = `1.91134` Chr`8` : `68,678,150`	0.802	0.198	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.783	0.217	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.778	0.222	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.757	0.243	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.754	0.246	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.736	0.264	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.714	0.285	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.705	0.295	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.334	0.666
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.663	0.337	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.639	0.361	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.636	0.364	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.603	0.396	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.601	0.399	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.601	0.399	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.593	0.407	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.586	0.414	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.556	0.443	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.553	0.447	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.551	0.449	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.550	0.450	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.546	0.454	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.546	0.454	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.520	0.480	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.512	0.488	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.493	0.507	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.493	0.507	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.492	0.508	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.488	0.512	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.468	0.532	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.455	0.545	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.443	0.557	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.422	0.578	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.418	0.582	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.349	0.650	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.346	0.654	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.322	0.678	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.314	0.686	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.305	0.695	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.298	0.702	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.296	0.704	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.284	0.716	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.281	0.719	0.000
rs526533 lBF = `8.02143` Chr`8` : `102,891,233`	0.000	0.724	0.276
rs2083637 lBF = `18.8278` Chr`8` : `19,865,175`	0.000	0.732	0.268
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.267	0.733	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.266	0.734	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.243	0.757	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.229	0.771	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.218	0.781	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.187	0.813	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.180	0.820	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.169	0.831	0.000
rs331 lBF = `17.9407` Chr`8` : `19,820,405`	0.000	0.837	0.163
rs1441756 lBF = `18.4586` Chr`8` : `19,868,386`	0.000	0.840	0.160
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.159	0.841	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.155	0.845	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.154	0.846	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.152	0.848	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.152	0.848	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.148	0.851	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.144	0.856	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.134	0.866	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.122	0.877	0.000
rs4427170 lBF = `0.403292` Chr`8` : `14,853,781`	0.000	0.878	0.122
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.120	0.880	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.119	0.880	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.117	0.882	0.000
rs17489373 lBF = `16.1189` Chr`8` : `19,855,344`	0.000	0.888	0.112
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.110	0.889	0.001
rs320 lBF = `15.1988` Chr`8` : `19,819,077`	0.000	0.896	0.104
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.097	0.903	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.091	0.909	0.000
rs15285 lBF = `20.0574` Chr`8` : `19,824,667`	0.000	0.913	0.087
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.081	0.919	0.000
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.081	0.919	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.920	0.080
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.077	0.923	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.077	0.923	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.076	0.924	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.071	0.928	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.066	0.934	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.062	0.938	0.000
rs13702 lBF = `18.3151` Chr`8` : `19,824,492`	0.000	0.943	0.057
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.056	0.944	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.055	0.945	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.049	0.951	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.044	0.956	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.042	0.958	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.042	0.958	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.040	0.959	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.038	0.962	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.031	0.969	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.029	0.971	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.028	0.972	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.027	0.973	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.026	0.973	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.026	0.974	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.025	0.975	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.025	0.975	0.000
rs326 lBF = `15.1404` Chr`8` : `19,819,439`	0.000	0.979	0.021
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.020	0.980	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.019	0.980	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.019	0.981	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.019	0.981	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.018	0.982	0.000
rs9297357 lBF = `-0.0403271` Chr`8` : `106,142,333`	0.018	0.982	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.017	0.982	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.017	0.983	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.017	0.983	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.015	0.984	0.001
rs311392 lBF = `-0.0639479` Chr`8` : `55,084,782`	0.015	0.985	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.014	0.986	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.013	0.987	0.000
rs1504749 lBF = `-0.055441` Chr`8` : `55,310,711`	0.013	0.987	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.988	0.012
rs11985951 lBF = `-0.01452` Chr`8` : `20,592,509`	0.011	0.989	0.000
rs10958409 lBF = `-0.00235757` Chr`8` : `55,327,091`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.010	0.989	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.010	0.990	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.009	0.991	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.009	0.991	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.008	0.992	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.008	0.992	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.992	0.008
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.007	0.993	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.007	0.993	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.006	0.993	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.006	0.994	0.000
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.000	0.995	0.005
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.005	0.995	0.000
rs7830933 lBF = `0.0906278` Chr`8` : `23,603,324`	0.005	0.995	0.000
rs641525 lBF = `0.0234936` Chr`8` : `2,740,502`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.005	0.995	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.004	0.996	0.000
rs13281609 lBF = `0.0126291` Chr`8` : `115,324,068`	0.004	0.996	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.004	0.996	0.000
rs2954021 lBF = `31.369` Chr`8` : `126,482,077`	0.000	0.996	0.004
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.004	0.996	0.000
rs4072286 lBF = `-0.0969006` Chr`8` : `142,736,531`	0.000	0.996	0.004
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.004	0.996	0.000
rs11777345 lBF = `-0.0602902` Chr`8` : `5,426,531`	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
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.003	0.997	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs13271465 lBF = `-0.00893756` Chr`8` : `17,282,411`	0.003	0.997	0.000
rs117025875 lBF = `-0.0256854` Chr`8` : `6,999,135`	0.003	0.997	0.000
rs13273073 lBF = `0.0632457` Chr`8` : `23,584,226`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs6993449 lBF = `-0.0949468` Chr`8` : `108,281,427`	0.000	0.997	0.003
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.000	0.997	0.003
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.003	0.997	0.000
rs1604897 lBF = `-0.0224457` Chr`8` : `122,182,310`	0.000	0.997	0.003
rs7015630 lBF = `-0.0417055` Chr`8` : `90,875,918`	0.003	0.997	0.000
rs16902094 lBF = `2.51795` Chr`8` : `128,320,346`	0.000	0.998	0.002
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs13267838 lBF = `0.00191318` Chr`8` : `25,196,710`	0.000	0.998	0.002
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.000	0.998	0.002
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs2122469 lBF = `0.150923` Chr`8` : `20,626,321`	0.000	0.998	0.002
rs2954038 lBF = `34.2663` Chr`8` : `126,507,389`	0.000	0.998	0.002
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.998	0.000
rs7386474 lBF = `-0.0657204` Chr`8` : `142,359,550`	0.000	0.998	0.002
rs4506170 lBF = `1.56706` Chr`8` : `128,323,891`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs201466262 lBF = `-0.00045314` Chr`8` : `52,407,936`	0.000	0.998	0.002
rs1693575 lBF = `-0.087782` Chr`8` : `101,682,777`	0.000	0.998	0.002
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.000	0.998	0.002
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs284489 lBF = `0.156258` Chr`8` : `105,958,020`	0.000	0.998	0.002
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.002	0.998	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	0.998	0.002
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.002	0.998	0.000
rs4410871 lBF = `0.0846442` Chr`8` : `128,815,029`	0.002	0.998	0.000
rs10097215 lBF = `-0.0245582` Chr`8` : `2,506,899`	0.000	0.998	0.002
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.998	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.001	0.998	0.000
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.002	0.998	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.001	0.998	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.001	0.998	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.001	0.999	0.000
rs11785400 lBF = `0.145866` Chr`8` : `143,730,456`	0.001	0.999	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.001	0.999	0.000
rs11781551 lBF = `-0.0976676` Chr`8` : `123,408,091`	0.000	0.999	0.001
rs4292676 lBF = `-0.069044` Chr`8` : `21,520,248`	0.001	0.999	0.000
rs2565065 lBF = `-0.0811412` Chr`8` : `27,328,021`	0.001	0.999	0.000
rs1106761 lBF = `0.249121` Chr`8` : `142,619,234`	0.000	0.999	0.001
rs2197089 lBF = `0.0117238` Chr`8` : `19,826,373`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs284491 lBF = `0.0426404` Chr`8` : `105,958,633`	0.000	0.999	0.001
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rs17749211 lBF = `-0.00886405` Chr`8` : `119,391,409`	0.000	1.000	0.000
rs2622633 lBF = `-0.109404` Chr`8` : `106,509,975`	0.000	1.000	0.000
rs2954031 lBF = `29.4155` Chr`8` : `126,491,733`	0.000	1.000	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	1.000	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.000	1.000	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs7006821 lBF = `0.750614` Chr`8` : `72,270,082`	0.000	1.000	0.000
rs11782652 lBF = `-0.0242561` Chr`8` : `82,653,644`	0.000	1.000	0.000
rs2137277 lBF = `-0.0357928` Chr`8` : `40,734,662`	0.000	1.000	0.000
rs2597327 lBF = `-0.0543388` Chr`8` : `133,436,942`	0.000	1.000	0.000
rs11986220 lBF = `18.5256` Chr`8` : `128,531,689`	0.000	1.000	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.000	1.000	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.000	1.000	0.000
rs12679857 lBF = `1.94203` Chr`8` : `119,977,337`	0.000	1.000	0.000
rs11784833 lBF = `0.180839` Chr`8` : `145,063,412`	0.000	1.000	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.000	1.000	0.000
rs10958476 lBF = `0.00838987` Chr`8` : `57,095,808`	0.000	1.000	0.000
rs2978263 lBF = `-0.00965483` Chr`8` : `30,498,859`	0.000	1.000	0.000
rs804292 lBF = `-0.0513329` Chr`8` : `11,643,915`	0.000	1.000	0.000
rs7840202 lBF = `-0.0841914` Chr`8` : `103,308,400`	0.000	1.000	0.000
rs2610025 lBF = `-0.101587` Chr`8` : `57,505,313`	0.000	1.000	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	1.000	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	1.000	0.000
rs1393902 lBF = `1.75937` Chr`8` : `68,421,565`	0.000	1.000	0.000
rs1875714 lBF = `1.72401` Chr`8` : `68,427,547`	0.000	1.000	0.000
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.000	1.000	0.000
rs7833268 lBF = `0.129484` Chr`8` : `23,818,687`	0.000	1.000	0.000
rs13259289 lBF = `0.0653373` Chr`8` : `4,110,032`	0.000	1.000	0.000
rs1425053 lBF = `0.0382757` Chr`8` : `120,212,990`	0.000	1.000	0.000
rs2851394 lBF = `-0.0364814` Chr`8` : `107,579,392`	0.000	1.000	0.000
rs12681420 lBF = `-0.0543937` Chr`8` : `71,593,198`	0.000	1.000	0.000
rs6998277 lBF = `-0.0997472` Chr`8` : `103,639,941`	0.000	1.000	0.000
rs4242384 lBF = `18.3481` Chr`8` : `128,518,554`	0.000	1.000	0.000
rs1447295 lBF = `15.7554` Chr`8` : `128,485,038`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.000	1.000	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.000	1.000	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	1.000	0.000
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	1.000	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	1.000	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	1.000	0.000
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.000	1.000	0.000
rs2447961 lBF = `-0.0167582` Chr`8` : `102,481,308`	0.000	1.000	0.000
rs1015213 lBF = `-0.0220378` Chr`8` : `52,887,541`	0.000	1.000	0.000
rs13273891 lBF = `-0.032508` Chr`8` : `58,986,459`	0.000	1.000	0.000
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.000	1.000	0.000
rs6982250 lBF = `-0.0570396` Chr`8` : `70,412,450`	0.000	1.000	0.000
rs55798256 lBF = `-0.0624198` Chr`8` : `94,303,801`	0.000	1.000	0.000
rs6557600 lBF = `-0.0758497` Chr`8` : `22,763,248`	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
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.000	1.000	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.000	1.000	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.000	1.000	0.000
rs987525 lBF = `0.731115` Chr`8` : `129,946,154`	0.000	1.000	0.000
rs7834018 lBF = `0.188881` Chr`8` : `72,561,742`	0.000	1.000	0.000
rs117044419 lBF = `0.184407` Chr`8` : `47,406,616`	0.000	1.000	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	1.000	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	1.000	0.000
rs16935110 lBF = `-0.0124358` Chr`8` : `69,730,719`	0.000	1.000	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	1.000	0.000
rs76115211 lBF = `-0.0328686` Chr`8` : `66,134,454`	0.000	1.000	0.000
rs2926702 lBF = `-0.0508769` Chr`8` : `71,167,994`	0.000	1.000	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	1.000	0.000
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.000	1.000	0.000
rs440837 lBF = `2.52151` Chr`8` : `81,461,974`	0.000	1.000	0.000
rs6988636 lBF = `0.592889` Chr`8` : `124,185,970`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.000	1.000	0.000
rs11995854 lBF = `0.120065` Chr`8` : `129,220,073`	0.000	1.000	0.000
rs4242434 lBF = `0.0831786` Chr`8` : `22,501,830`	0.000	1.000	0.000
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	1.000	0.000
rs3115775 lBF = `0.0195883` Chr`8` : `118,707,726`	0.000	1.000	0.000
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
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs196889 lBF = `-0.00893747` Chr`8` : `24,734,677`	0.000	1.000	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	1.000	0.000
rs112505062 lBF = `-0.0224138` Chr`8` : `96,293,103`	0.000	1.000	0.000
rs12542166 lBF = `-0.03426` Chr`8` : `122,982,838`	0.000	1.000	0.000
rs2705293 lBF = `-0.0399492` Chr`8` : `138,918,945`	0.000	1.000	0.000
rs17126232 lBF = `-0.0593424` Chr`8` : `17,977,650`	0.000	1.000	0.000
rs17321515 lBF = `32.222` Chr`8` : `126,486,409`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	1.000	0.000
rs2045966 lBF = `0.188035` Chr`8` : `98,594,154`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs721399 lBF = `0.0880093` Chr`8` : `18,259,366`	0.000	1.000	0.000
rs76794758 lBF = `0.0753432` Chr`8` : `47,052,818`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs2299587 lBF = `0.0207005` Chr`8` : `17,800,769`	0.000	1.000	0.000
rs11778693 lBF = `0.0184763` Chr`8` : `22,462,852`	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 X0002

log Bayes Factor = 522.044

contains 22 variants

0.9992

Cluster X0034

log Bayes Factor = 665.104

contains 16 variants

0.9753

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.8832

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.8759

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4794

Cluster X0096

log Bayes Factor = 8.06962

contains 1 variants

0.2155

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

0.1208

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.0776

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9983

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.9932

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9895

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9839

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9829

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9818

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9797

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9701

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9690

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9688

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9669

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9587

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9566

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9558

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.9553

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9553

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9489

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9430

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9397

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9372

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9369

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9348

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9290

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9284

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9123

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.9077

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9060

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9059

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8950

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8916

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8850

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8421

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8414

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8372

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8349

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8111

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8024

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8015

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7971

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7950

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7917

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7691

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7606

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7443

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7409

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7316

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7227

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7047

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7002

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6281

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6257

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5972

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5832

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5630

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.5248

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5195

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5137

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.4502

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4444

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4365

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4039

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4025

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3916

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3812

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3624

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3395

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3194

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3106

Cluster X0097

log Bayes Factor = 96.1227

contains 10 variants

0.2325

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2219

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2193

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1956

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1827

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1790

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1676

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1450

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1407

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1383

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1247

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1233

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1089

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1064

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0879

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0865

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0794

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0768

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0673

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0632

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0623

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0537

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0506

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`)