TreeWAS – [Z92.4] Personal history of major surgery, not elsewhere classified

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
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.977	0.023	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.882	0.118	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.873	0.127	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.807	0.193	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.794	0.206	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.762	0.238	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.328	0.672
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.653	0.347	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.598	0.402	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.594	0.406	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.592	0.408	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.578	0.422	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.573	0.427	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.566	0.434	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.565	0.434	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.542	0.458	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.539	0.461	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.506	0.494	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.481	0.519	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.480	0.520	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.439	0.561	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.413	0.587	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.412	0.588	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.401	0.598	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.399	0.601	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.389	0.611	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.360	0.640	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.316	0.684	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.308	0.692	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.306	0.694	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.305	0.695	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.294	0.705	0.001
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.250	0.750	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.246	0.754	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.238	0.762	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.223	0.777	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.218	0.782	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.209	0.791	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.191	0.809	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.185	0.815	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.177	0.822	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.177	0.823	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.177	0.823	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.176	0.823	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.167	0.833	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.166	0.834	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.162	0.838	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.141	0.859	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.134	0.866	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.133	0.867	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.120	0.880	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.116	0.884	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.100	0.899	0.001
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.098	0.902	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.094	0.906	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.092	0.908	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.091	0.909	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.088	0.912	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.081	0.919	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.081	0.919	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.081	0.919	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.920	0.079
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.076	0.924	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.073	0.927	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.065	0.935	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.064	0.936	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.063	0.937	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.048	0.951	0.001
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.048	0.952	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.044	0.956	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.043	0.957	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.041	0.959	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.041	0.959	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.040	0.960	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.039	0.961	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.035	0.965	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.031	0.969	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.030	0.970	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.028	0.972	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.024	0.976	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.023	0.977	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.023	0.977	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.022	0.978	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.021	0.978	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.022	0.978	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.020	0.980	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.019	0.981	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.018	0.982	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.017	0.983	0.000
rs1351356 lBF = `-0.0226904` Chr`8` : `118,600,122`	0.017	0.983	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.017	0.983	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.015	0.985	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.013	0.986	0.001
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.014	0.986	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.014	0.986	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.013	0.987	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.987	0.013
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.013	0.987	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.011	0.988	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.010	0.989	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.010	0.990	0.000
rs7829759 lBF = `0.0147051` Chr`8` : `3,147,359`	0.009	0.991	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.008	0.991	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.007	0.993	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.006	0.993	0.000
rs7004520 lBF = `-0.05444` Chr`8` : `31,327,049`	0.006	0.994	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.006	0.994	0.000
rs117880470 lBF = `-0.034689` Chr`8` : `6,933,373`	0.000	0.994	0.006
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.005	0.995	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.004	0.996	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.003	0.996	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.003	0.996	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.003	0.997	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs6981717 lBF = `-0.00626097` Chr`8` : `89,188,454`	0.003	0.997	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.003	0.997	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.003	0.997	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.997	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs11997175 lBF = `-0.010402` Chr`8` : `33,770,070`	0.000	0.998	0.002
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.002	0.998	0.000
rs2062078 lBF = `4.27827` Chr`8` : `130,734,461`	0.000	0.998	0.002
rs4733724 lBF = `4.55679` Chr`8` : `130,723,728`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.002	0.998	0.000
rs6470764 lBF = `4.32028` Chr`8` : `130,725,665`	0.000	0.998	0.002
rs12542166 lBF = `-0.03426` Chr`8` : `122,982,838`	0.000	0.998	0.002
rs17311976 lBF = `0.14103` Chr`8` : `131,637,337`	0.000	0.998	0.002
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.001	0.998	0.000
rs9693444 lBF = `-0.0637502` Chr`8` : `29,509,616`	0.002	0.998	0.000
rs1875714 lBF = `1.72401` Chr`8` : `68,427,547`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.998	0.000
rs4129585 lBF = `-0.0781628` Chr`8` : `143,312,933`	0.000	0.998	0.002
rs1393902 lBF = `1.75937` Chr`8` : `68,421,565`	0.000	0.999	0.001
rs1042992 lBF = `-0.0604619` Chr`8` : `26,269,191`	0.000	0.999	0.001
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.000	0.999	0.001
rs12677056 lBF = `-0.0748839` Chr`8` : `113,422,382`	0.000	0.999	0.001
rs11784536 lBF = `0.0764394` Chr`8` : `144,839,147`	0.000	0.999	0.001
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.001	0.999	0.000
rs1903595 lBF = `0.0891305` Chr`8` : `14,389,481`	0.001	0.999	0.000
rs7010162 lBF = `-0.0111381` Chr`8` : `70,976,505`	0.000	0.999	0.001
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.001	0.999	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.001	0.999	0.000
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.001	0.999	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs10111661 lBF = `0.994666` Chr`8` : `20,336,573`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs7821565 lBF = `0.0801604` Chr`8` : `52,216,762`	0.001	0.999	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.001	0.999	0.000
rs231147 lBF = `0.00450035` Chr`8` : `116,417,563`	0.001	0.999	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
rs190951784 lBF = `0.00003382` Chr`8` : `25,131,523`	0.001	0.999	0.000
rs73318770 lBF = `0.00000446` Chr`8` : `74,362,915`	0.001	0.999	0.000
rs182115318 lBF = `0` Chr`8` : `25,128,723`	0.001	0.999	0.001
rs182302106 lBF = `0` Chr`8` : `1,455,175`	0.001	0.999	0.001
rs187636186 lBF = `0` Chr`8` : `73,002,468`	0.001	0.999	0.001
rs116041037 lBF = `0` Chr`8` : `128,131,809`	0.001	0.999	0.001
rs141395649 lBF = `0` Chr`8` : `6,498,690`	0.001	0.999	0.001
rs16902104 lBF = `0` Chr`8` : `128,340,908`	0.001	0.999	0.001
rs114252942 lBF = `0` Chr`8` : `6,202,964`	0.001	0.999	0.001
rs116129203 lBF = `0` Chr`8` : `6,779,323`	0.001	0.999	0.001
rs114258913 lBF = `0` Chr`8` : `93,525,403`	0.001	0.999	0.001
rs150435906 lBF = `0` Chr`8` : `66,864,338`	0.001	0.999	0.001
rs144424757 lBF = `0` Chr`8` : `12,929,793`	0.001	0.999	0.001
rs191631123 lBF = `0` Chr`8` : `32,443,704`	0.001	0.999	0.001
rs4128527 lBF = `0` Chr`8` : `72,682,693`	0.001	0.999	0.001
rs11986011 lBF = `0` Chr`8` : `127,332,657`	0.001	0.999	0.001
rs113414285 lBF = `0` Chr`8` : `24,395,263`	0.001	0.999	0.001
rs182838111 lBF = `0` Chr`8` : `67,889,470`	0.001	0.999	0.001
rs11989122 lBF = `0` Chr`8` : `118,827,839`	0.001	0.999	0.001
rs182387400 lBF = `0` Chr`8` : `25,129,708`	0.001	0.999	0.001
rs192074192 lBF = `0` Chr`8` : `73,025,833`	0.001	0.999	0.001
rs1845529 lBF = `0` Chr`8` : `116,163,863`	0.001	0.999	0.001
rs147851892 lBF = `0` Chr`8` : `24,234,355`	0.001	0.999	0.001
rs143335239 lBF = `0` Chr`8` : `6,500,809`	0.001	0.999	0.001
rs75455452 lBF = `0` Chr`8` : `72,991,580`	0.001	0.999	0.001
rs73313124 lBF = `0` Chr`8` : `110,478,822`	0.001	0.999	0.001
rs188809019 lBF = `0` Chr`8` : `129,286,235`	0.001	0.999	0.001
rs188858915 lBF = `0` Chr`8` : `6,494,833`	0.001	0.999	0.001
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rs11987235 lBF = `0.0831969` Chr`8` : `117,641,610`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs13267838 lBF = `0.00191318` Chr`8` : `25,196,710`	0.000	1.000	0.000
rs2083637 lBF = `18.8278` Chr`8` : `19,865,175`	0.000	1.000	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs6473223 lBF = `6.12391` Chr`8` : `81,268,155`	0.000	1.000	0.000
rs16935518 lBF = `5.2746` Chr`8` : `70,006,868`	0.000	1.000	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs284489 lBF = `0.156258` Chr`8` : `105,958,020`	0.000	1.000	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	1.000	0.000
rs28455997 lBF = `0.0306551` Chr`8` : `3,076,959`	0.000	1.000	0.000
rs160441 lBF = `0.00901776` Chr`8` : `90,656,988`	0.000	1.000	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	1.000	0.000
rs196889 lBF = `-0.00893747` Chr`8` : `24,734,677`	0.000	1.000	0.000
rs11987678 lBF = `-0.0283536` Chr`8` : `81,228,826`	0.000	1.000	0.000
rs77210013 lBF = `9.66331` Chr`8` : `101,022,381`	0.000	1.000	0.000
rs2071518 lBF = `4.45658` Chr`8` : `120,435,812`	0.000	1.000	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.000	1.000	0.000
rs16902094 lBF = `2.51795` Chr`8` : `128,320,346`	0.000	1.000	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	1.000	0.000
rs2720499 lBF = `-0.052573` Chr`8` : `17,392,357`	0.000	1.000	0.000
rs1395804 lBF = `-0.0661562` Chr`8` : `132,510,680`	0.000	1.000	0.000
rs13254600 lBF = `-0.0862594` Chr`8` : `124,089,526`	0.000	1.000	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.000	1.000	0.000
rs445114 lBF = `7.32631` Chr`8` : `128,323,181`	0.000	1.000	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.000	1.000	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.000	1.000	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs1585518 lBF = `0.0706345` Chr`8` : `120,475,238`	0.000	1.000	0.000
rs2936519 lBF = `0.0602152` Chr`8` : `6,639,240`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs160451 lBF = `0.013616` Chr`8` : `90,662,941`	0.000	1.000	0.000
rs11991744 lBF = `0.00178314` Chr`8` : `124,659,329`	0.000	1.000	0.000
rs12546767 lBF = `-0.0108878` Chr`8` : `126,082,565`	0.000	1.000	0.000
rs11774212 lBF = `-0.0467484` Chr`8` : `145,686,505`	0.000	1.000	0.000
rs2033732 lBF = `-0.0604344` Chr`8` : `85,079,709`	0.000	1.000	0.000
rs13259853 lBF = `-0.100159` Chr`8` : `3,518,479`	0.000	1.000	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.000	1.000	0.000
rs1441756 lBF = `18.4586` Chr`8` : `19,868,386`	0.000	1.000	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.000	1.000	0.000
rs17489373 lBF = `16.1189` Chr`8` : `19,855,344`	0.000	1.000	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	1.000	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	1.000	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.000	1.000	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.000	1.000	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.000	1.000	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.000	1.000	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.000	1.000	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	1.000	0.000
rs6468544 lBF = `0.0553341` Chr`8` : `98,329,765`	0.000	1.000	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.000	1.000	0.000
rs2046315 lBF = `0.00340521` Chr`8` : `90,211,100`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs4733601 lBF = `-0.0240629` Chr`8` : `129,269,466`	0.000	1.000	0.000
rs7011507 lBF = `-0.0303419` Chr`8` : `49,129,242`	0.000	1.000	0.000
rs7007076 lBF = `-0.0491761` Chr`8` : `124,730,029`	0.000	1.000	0.000
rs1909881 lBF = `-0.0599299` Chr`8` : `96,515,888`	0.000	1.000	0.000
rs10090117 lBF = `-0.0627887` Chr`8` : `18,381,235`	0.000	1.000	0.000
rs1961102 lBF = `-0.0915305` Chr`8` : `103,932,845`	0.000	1.000	0.000
rs7823467 lBF = `-0.0945008` Chr`8` : `60,078,734`	0.000	1.000	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	1.000	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.000	1.000	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	1.000	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.000	1.000	0.000
rs2121630 lBF = `7.89046` Chr`8` : `128,478,160`	0.000	1.000	0.000
rs1016343 lBF = `7.41028` Chr`8` : `128,093,297`	0.000	1.000	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.000	1.000	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.000	1.000	0.000
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.000	1.000	0.000
rs56292044 lBF = `0.784944` Chr`8` : `138,776,547`	0.000	1.000	0.000
rs73201717 lBF = `0.712049` Chr`8` : `16,682,746`	0.000	1.000	0.000
rs2553268 lBF = `0.231053` Chr`8` : `30,936,356`	0.000	1.000	0.000
rs2736345 lBF = `0.0780459` Chr`8` : `11,352,485`	0.000	1.000	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs1106634 lBF = `-0.0157477` Chr`8` : `20,066,049`	0.000	1.000	0.000
rs7007970 lBF = `-0.0250041` Chr`8` : `120,647,929`	0.000	1.000	0.000
rs2943559 lBF = `-0.0440886` Chr`8` : `76,417,937`	0.000	1.000	0.000
rs3870371 lBF = `-0.0683153` Chr`8` : `122,697,132`	0.000	1.000	0.000
rs4875053 lBF = `-0.0791384` Chr`8` : `144,872,411`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs13275219 lBF = `6.32362` Chr`8` : `81,259,826`	0.000	1.000	0.000
rs2466024 lBF = `0.925885` Chr`8` : `128,188,019`	0.000	1.000	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.000	1.000	0.000
rs1160133 lBF = `0.301225` Chr`8` : `59,305,290`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1241

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0715

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0659

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9977

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9920

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9775

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9683

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9197

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9147

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9076

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8965

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8852

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8350

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8309

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8285

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8217

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7723

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7669

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7621

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7609

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6892

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6810

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5768

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5689

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5303

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5262

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5197

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4651

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4601

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3435

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3160

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2930

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1890

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1784

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1770

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1706

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1611

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1558

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1523

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1495

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1440

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1362

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1149

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0802

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0775

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0727

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0651

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0608

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0558

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0511

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`)