TreeWAS – [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

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
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.999	0.001	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.999	0.001	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.992	0.008	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.988	0.012	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.985	0.015	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.961	0.039	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.941	0.059	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.934	0.066	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.932	0.068	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.918	0.082	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.904	0.096	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.884	0.116	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.866	0.134	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.839	0.161	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.819	0.181	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.796	0.204	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.763	0.237	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.760	0.240	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.759	0.241	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.743	0.257	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.737	0.263	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.734	0.266	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.733	0.267	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.728	0.272	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.720	0.280	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.716	0.284	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.713	0.287	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.706	0.294	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.699	0.301	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.678	0.322	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.644	0.356	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.612	0.388	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.593	0.407	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.548	0.452	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.522	0.478	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.516	0.484	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.503	0.497	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.498	0.502	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.496	0.504	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.449	0.551	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.409	0.591	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.404	0.596	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.375	0.625	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.349	0.651	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.332	0.668	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.306	0.694	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.306	0.694	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.304	0.696	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.291	0.709	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.289	0.711	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.287	0.713	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.283	0.717	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.283	0.717	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.249	0.751	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.249	0.751	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.225	0.775	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.217	0.783	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.205	0.795	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.201	0.799	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.195	0.805	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.190	0.810	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.186	0.814	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.178	0.822	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.171	0.829	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.153	0.847	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.151	0.849	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.142	0.858	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.136	0.864	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.134	0.866	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.129	0.871	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.126	0.874	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.120	0.880	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.115	0.885	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.113	0.887	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.112	0.888	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.110	0.890	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.110	0.890	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.109	0.891	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.108	0.892	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.107	0.893	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.090	0.910	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.089	0.911	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.088	0.912	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.087	0.913	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.086	0.914	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.084	0.916	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.082	0.918	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.080	0.920	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.077	0.923	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.075	0.925	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.071	0.929	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.065	0.935	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.062	0.938	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.061	0.939	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.061	0.939	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.059	0.941	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.057	0.943	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.053	0.947	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.052	0.948	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.052	0.948	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.051	0.949	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.050	0.950	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.048	0.952	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.048	0.952	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.047	0.953	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.047	0.953	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.046	0.954	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.045	0.955	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.044	0.956	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.040	0.960	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.037	0.963	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.037	0.963	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.035	0.965	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.035	0.965	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.034	0.966	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.032	0.967	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.032	0.968	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.031	0.969	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.028	0.972	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.028	0.972	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.028	0.972	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.025	0.975	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.022	0.977	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.022	0.978	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.022	0.978	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.021	0.979	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.020	0.980	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.019	0.981	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.019	0.981	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.018	0.982	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.016	0.984	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.015	0.985	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.015	0.985	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.985	0.015
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.014	0.986	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.014	0.986	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.009	0.987	0.004
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.013	0.987	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.013	0.987	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.011	0.989	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.011	0.989	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.010	0.990	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.009	0.991	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.009	0.991	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.009	0.991	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.009	0.991	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.009	0.991	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.008	0.992	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.007	0.993	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.007	0.993	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.007	0.993	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.006	0.994	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.006	0.994	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.006	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.006	0.994	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.006	0.994	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.005	0.995	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.005	0.995	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.005	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.995	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.004	0.996	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.004	0.996	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.004	0.996	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.004	0.996	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.003	0.997	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.002	0.998	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.002	0.998	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.002	0.998	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.002	0.998	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.998	0.001
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.002	0.998	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.998	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.002	0.998	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.001	0.999	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.001	0.999	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.001	0.999	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.001	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.001
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
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rs964611 lBF = `0.0418836` Chr`15` : `48,597,514`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	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
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs12185079 lBF = `0.00552748` Chr`15` : `100,271,253`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	1.000	0.000
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	1.000	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	1.000	0.000
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	1.000	0.000
rs1874252 lBF = `-0.0351034` Chr`15` : `38,962,756`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs10518765 lBF = `-0.0378225` Chr`15` : `54,680,632`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.000	1.000	0.000
rs11637235 lBF = `-0.0455725` Chr`15` : `48,633,153`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.000	1.000	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.000	1.000	0.000
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.000	1.000	0.000
rs8023715 lBF = `-0.0503426` Chr`15` : `97,607,681`	0.000	1.000	0.000
rs7179575 lBF = `-0.0527773` Chr`15` : `27,323,199`	0.000	1.000	0.000
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	1.000	0.000
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.000	1.000	0.000
rs7168353 lBF = `-0.0625658` Chr`15` : `93,638,401`	0.000	1.000	0.000
rs17636733 lBF = `-0.0629164` Chr`15` : `25,912,339`	0.000	1.000	0.000
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.000	1.000	0.000
rs8041675 lBF = `-0.0735212` Chr`15` : `37,342,602`	0.000	1.000	0.000
rs5742915 lBF = `-0.0740717` Chr`15` : `74,336,633`	0.000	1.000	0.000
rs711355 lBF = `-0.0844351` Chr`15` : `30,193,468`	0.000	1.000	0.000
rs2229116 lBF = `-0.0968471` Chr`15` : `33,905,410`	0.000	1.000	0.000
rs1528472 lBF = `-0.0998215` Chr`15` : `55,321,128`	0.000	1.000	0.000
rs11330240 lBF = `53.4098` Chr`15` : `91,428,521`	0.000	1.000	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.000	1.000	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.000	1.000	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.000	1.000	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	1.000	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.000	1.000	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.000	1.000	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.000	1.000	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.000	1.000	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.000	1.000	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.000	1.000	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	1.000	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.000	1.000	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.000	1.000	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.000	1.000	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.000	1.000	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.000	1.000	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.000	1.000	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.000	1.000	0.000
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.000	1.000	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.000	1.000	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.000	1.000	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.000	1.000	0.000
rs8042849 lBF = `34.3643` Chr`15` : `78,817,929`	0.000	1.000	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.000	1.000	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.000	1.000	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.000	1.000	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.000	1.000	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.000	1.000	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.000	1.000	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.000	1.000	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.000	1.000	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.000	1.000	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.000	1.000	0.000
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.000	1.000	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.000	1.000	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.000	1.000	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	1.000	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.000	1.000	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.000	1.000	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	1.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	1.000	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.000	1.000	0.000
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	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

0.9563

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2291

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0605

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9999

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9998

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9998

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9997

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9997

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9997

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9996

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9995

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9994

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9989

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9985

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9982

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9980

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9971

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9963

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9960

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9959

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9947

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9940

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9918

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9904

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9875

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9854

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9774

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9753

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9753

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9711

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9700

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9687

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9667

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9527

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9519

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9482

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9439

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9362

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9336

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9306

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9282

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9144

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9050

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8959

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8879

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8843

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8788

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8352

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8167

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7908

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7357

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6979

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6896

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6773

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6712

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6219

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5480

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5286

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5205

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5183

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4567

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4303

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4300

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4295

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3917

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3448

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3351

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3304

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3213

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2746

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2465

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2439

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2320

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2216

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2152

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2132

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2120

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2042

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1974

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1867

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1818

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1767

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1759

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1752

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1604

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1574

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1522

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1407

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1218

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1182

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1119

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1013

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0870

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0803

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0775

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0756

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0716

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0608

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0562

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0538

Cluster X0332

log Bayes Factor = 65.2374

contains 3 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`)