TreeWAS – [Y83.3] Surgical operation with formation of external stoma

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

Y83.3

Surgical operation with formation of external stoma

Parent term

Y83 Surgical operation and other surgical procedures as the cause of abnormal reaction of the patient, or of later complication, without mention of misadventure at the time of the procedure

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Variant effects

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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
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.900	0.100	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.858	0.142	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.778	0.222	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.776	0.224	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.753	0.247	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.752	0.248	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.725	0.275	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.713	0.287	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.687	0.313	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.682	0.318	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.680	0.320	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.673	0.327	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.669	0.331	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.641	0.359	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.604	0.396	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.603	0.397	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.601	0.399	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.598	0.402	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.580	0.420	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.571	0.428	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.549	0.450	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.545	0.455	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.545	0.455	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.535	0.465	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.525	0.475	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.520	0.480	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.519	0.481	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.489	0.511	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.470	0.530	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.455	0.545	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.434	0.566	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.419	0.581	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.399	0.601	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.388	0.612	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.375	0.625	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.374	0.625	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.374	0.626	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.336	0.664	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.322	0.678	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.311	0.689	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.290	0.710	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.289	0.710	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.252	0.747	0.001
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.250	0.749	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.234	0.765	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.230	0.770	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.218	0.782	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.213	0.787	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.212	0.788	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.204	0.796	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.191	0.809	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.182	0.818	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.173	0.827	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.163	0.836	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.161	0.838	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.156	0.844	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.152	0.848	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.151	0.849	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.147	0.852	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.145	0.855	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.141	0.858	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.138	0.862	0.000
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.133	0.867	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.116	0.884	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.116	0.884	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.111	0.889	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.106	0.893	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.099	0.901	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.098	0.902	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.097	0.903	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.093	0.907	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.092	0.908	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.089	0.911	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.083	0.917	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.079	0.921	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.078	0.921	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.077	0.923	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.077	0.923	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.077	0.923	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.075	0.924	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.074	0.926	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.073	0.927	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.067	0.933	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.064	0.936	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.064	0.936	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.063	0.937	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.060	0.940	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.059	0.940	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.059	0.941	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.053	0.947	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.052	0.948	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.049	0.950	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.047	0.953	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.043	0.957	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.041	0.959	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.039	0.960	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.038	0.962	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.037	0.962	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.037	0.962	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.037	0.963	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.035	0.965	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.034	0.966	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.034	0.966	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.033	0.967	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.032	0.968	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.031	0.969	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.029	0.971	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.027	0.973	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.027	0.973	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.026	0.973	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.026	0.974	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.025	0.975	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.024	0.976	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.023	0.976	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.023	0.977	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.021	0.978	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.022	0.978	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.021	0.978	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.021	0.979	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.021	0.979	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.021	0.979	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.020	0.979	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.017	0.983	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.016	0.984	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.016	0.984	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.015	0.985	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.015	0.985	0.000
rs79455310 lBF = `13.5183` Chr`15` : `49,439,115`	0.014	0.986	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.014	0.986	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.012	0.988	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.011	0.989	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.989	0.011
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.011	0.989	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.011	0.989	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.011	0.989	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.010	0.989	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.010	0.989	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.010	0.990	0.000
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.010	0.990	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.010	0.990	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.004	0.992	0.004
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.008	0.992	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.008	0.992	0.000
rs4338740 lBF = `20.272` Chr`15` : `49,735,297`	0.008	0.992	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.007	0.993	0.000
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.007	0.993	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.006	0.993	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.006	0.994	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.006	0.994	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.006	0.994	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.005	0.995	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.005	0.995	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.005	0.995	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.005	0.995	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.005	0.995	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.005	0.995	0.000
rs7167085 lBF = `15.101` Chr`15` : `91,406,188`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.996	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.004	0.996	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.004	0.996	0.000
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.004	0.996	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.996	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.003	0.997	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.003	0.997	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.003	0.997	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.003	0.997	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.003	0.997	0.000
rs4776472 lBF = `0.111489` Chr`15` : `70,006,873`	0.003	0.997	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.003	0.997	0.000
rs10520045 lBF = `0.0447628` Chr`15` : `36,313,965`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.003	0.997	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.003	0.997	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.003	0.997	0.000
rs11638981 lBF = `12.2249` Chr`15` : `49,321,529`	0.003	0.997	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.002	0.998	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.002	0.998	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.002	0.998	0.000
rs2123926 lBF = `-0.0542601` Chr`15` : `100,264,518`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.002	0.998	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.000	0.998	0.002
rs78472555 lBF = `-0.0673363` Chr`15` : `100,267,322`	0.002	0.998	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.002	0.998	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.001	0.998	0.000
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.000	0.998	0.002
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.002	0.998	0.000
rs11247124 lBF = `-0.0606221` Chr`15` : `100,265,725`	0.001	0.999	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs7179575 lBF = `-0.0527773` Chr`15` : `27,323,199`	0.000	0.999	0.001
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.000	0.999	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	0.999	0.001
rs11070747 lBF = `-0.0533145` Chr`15` : `50,376,439`	0.000	0.999	0.001
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rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	1.000	0.000
rs11071200 lBF = `0.142672` Chr`15` : `55,950,082`	0.000	1.000	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	1.000	0.000
rs4489968 lBF = `-0.00363114` Chr`15` : `73,665,506`	0.000	1.000	0.000
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.000	1.000	0.000
rs1993976 lBF = `-0.0678076` Chr`15` : `98,606,313`	0.000	1.000	0.000
rs1528472 lBF = `-0.0998215` Chr`15` : `55,321,128`	0.000	1.000	0.000
rs4932370 lBF = `40.05` Chr`15` : `91,404,705`	0.000	1.000	0.000
rs11632102 lBF = `11.961` Chr`15` : `79,086,057`	0.000	1.000	0.000
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.000	1.000	0.000
rs2004038 lBF = `11.3758` Chr`15` : `79,071,406`	0.000	1.000	0.000
rs112321636 lBF = `11.2927` Chr`15` : `79,072,100`	0.000	1.000	0.000
rs4887109 lBF = `10.7029` Chr`15` : `79,074,294`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	1.000	0.000
rs1898111 lBF = `-0.015389` Chr`15` : `47,892,298`	0.000	1.000	0.000
rs12594515 lBF = `-0.0698809` Chr`15` : `45,985,071`	0.000	1.000	0.000
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.000	1.000	0.000
rs12903285 lBF = `23.1095` Chr`15` : `78,778,953`	0.000	1.000	0.000
rs12592111 lBF = `20.7266` Chr`15` : `78,767,346`	0.000	1.000	0.000
rs7176070 lBF = `16.0891` Chr`15` : `79,033,489`	0.000	1.000	0.000
rs3825807 lBF = `10.7606` Chr`15` : `79,089,111`	0.000	1.000	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.000	1.000	0.000
rs8024939 lBF = `5.37334` Chr`15` : `79,049,237`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs588136 lBF = `0.0543852` Chr`15` : `58,730,498`	0.000	1.000	0.000
rs188133 lBF = `0.0295211` Chr`15` : `47,702,442`	0.000	1.000	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs7174156 lBF = `-0.0322566` Chr`15` : `96,959,855`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs62024995 lBF = `-0.0965659` Chr`15` : `98,712,452`	0.000	1.000	0.000
rs35600665 lBF = `-0.100694` Chr`15` : `24,741,291`	0.000	1.000	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.000	1.000	0.000
rs11858210 lBF = `12.875` Chr`15` : `79,078,358`	0.000	1.000	0.000
rs2904220 lBF = `12.8397` Chr`15` : `79,076,704`	0.000	1.000	0.000
rs1825087 lBF = `12.8373` Chr`15` : `79,077,114`	0.000	1.000	0.000
rs12050525 lBF = `12.7855` Chr`15` : `79,075,746`	0.000	1.000	0.000
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.000	1.000	0.000
rs11072783 lBF = `11.6644` Chr`15` : `78,965,966`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.000	1.000	0.000
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	0.000	1.000	0.000
rs35343117 lBF = `2.22504` Chr`15` : `86,079,115`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs964611 lBF = `0.0418836` Chr`15` : `48,597,514`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	1.000	0.000
rs12899449 lBF = `-0.0568353` Chr`15` : `38,995,491`	0.000	1.000	0.000
rs1392635 lBF = `-0.074101` Chr`15` : `69,398,026`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.000	1.000	0.000
rs4886592 lBF = `12.6218` Chr`15` : `79,082,547`	0.000	1.000	0.000
rs2277546 lBF = `12.5381` Chr`15` : `79,083,376`	0.000	1.000	0.000
rs2277545 lBF = `12.5251` Chr`15` : `79,083,591`	0.000	1.000	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.000	1.000	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.000	1.000	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.000	1.000	0.000
rs11852984 lBF = `0.0949112` Chr`15` : `35,105,657`	0.000	1.000	0.000
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	1.000	0.000
rs11247230 lBF = `-0.0945302` Chr`15` : `101,197,005`	0.000	1.000	0.000
rs1814880 lBF = `17.4442` Chr`15` : `79,021,140`	0.000	1.000	0.000
rs11639044 lBF = `12.4408` Chr`15` : `79,083,814`	0.000	1.000	0.000
rs12903203 lBF = `12.3822` Chr`15` : `79,084,933`	0.000	1.000	0.000
rs1994016 lBF = `10.7289` Chr`15` : `79,080,234`	0.000	1.000	0.000
rs1129038 lBF = `4.88485` Chr`15` : `28,356,859`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs4620914 lBF = `0.00350354` Chr`15` : `38,220,391`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs1077835 lBF = `-0.0112113` Chr`15` : `58,723,426`	0.000	1.000	0.000
rs1897031 lBF = `-0.0132897` Chr`15` : `54,341,465`	0.000	1.000	0.000
rs7172809 lBF = `-0.0978218` Chr`15` : `77,819,676`	0.000	1.000	0.000
rs17271305 lBF = `-0.109195` Chr`15` : `62,332,980`	0.000	1.000	0.000
rs8043119 lBF = `16.5105` Chr`15` : `79,061,002`	0.000	1.000	0.000
rs8039600 lBF = `13.0655` Chr`15` : `78,990,300`	0.000	1.000	0.000
rs11072806 lBF = `11.8753` Chr`15` : `79,079,074`	0.000	1.000	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	1.000	0.000
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7600

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1612

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9994

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9992

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9989

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9965

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9932

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9921

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9918

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9907

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9832

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9785

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9761

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9727

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9724

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9719

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9678

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9577

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9434

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9377

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9330

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9285

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9142

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8981

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8566

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8509

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8399

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8168

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8157

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7925

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7694

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7514

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7511

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7444

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7230

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7175

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7170

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6802

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6794

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6645

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6562

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6482

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6453

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6072

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5879

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5358

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5349

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5229

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5205

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5069

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4889

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4420

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4402

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4297

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4062

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3927

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3902

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3597

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3555

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3552

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3388

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3346

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3144

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3030

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3014

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3003

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2966

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2880

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2812

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2423

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2275

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2223

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2086

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2039

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1983

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1939

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1884

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1848

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1805

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1552

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1518

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1471

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1433

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1226

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0988

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0969

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0911

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0847

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0839

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0815

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0765

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0745

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0667

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0598

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0581

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0531

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)

Hospitalization Episode Statistics (`HES`)