TreeWAS – [M50.2] Other cervical disk displacement

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
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.867	0.133	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.824	0.176	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.816	0.184	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.725	0.274	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.698	0.302	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.639	0.361	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.621	0.379	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.613	0.387	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.590	0.410	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.576	0.424	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.573	0.427	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.571	0.429	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.567	0.432	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.558	0.441	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.556	0.444	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.549	0.451	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.546	0.454	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.543	0.456	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.535	0.465	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.534	0.466	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.533	0.467	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.531	0.469	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.508	0.492	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.506	0.494	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.491	0.508	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.490	0.510	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.484	0.515	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.483	0.517	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.480	0.520	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.479	0.521	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.478	0.522	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.477	0.523	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.454	0.545	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.453	0.547	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.446	0.554	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.444	0.556	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.442	0.558	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.438	0.562	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.427	0.573	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.421	0.579	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.420	0.580	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.415	0.585	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.414	0.586	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.413	0.587	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.411	0.588	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.403	0.597	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.402	0.598	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.399	0.601	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.398	0.602	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.397	0.603	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.395	0.605	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.391	0.608	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.388	0.612	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.387	0.613	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.362	0.638	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.357	0.642	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.356	0.644	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.355	0.645	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.353	0.647	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.350	0.650	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.340	0.660	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.336	0.663	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.329	0.671	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.325	0.675	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.321	0.679	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.320	0.679	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.318	0.682	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.314	0.686	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.312	0.687	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.301	0.699	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.297	0.702	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.294	0.705	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.292	0.708	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.291	0.709	0.000
rs936229 lBF = `2.72675` Chr`15` : `75,132,319`	0.286	0.714	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.280	0.719	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.279	0.721	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.275	0.725	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.274	0.726	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.273	0.726	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.269	0.730	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.240	0.760	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.235	0.765	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.234	0.766	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.217	0.782	0.001
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.217	0.783	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.216	0.784	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.212	0.788	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.202	0.798	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.193	0.807	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.188	0.812	0.000
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.186	0.814	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.181	0.819	0.000
rs12324870 lBF = `0.189277` Chr`15` : `78,995,801`	0.179	0.821	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.175	0.825	0.000
rs2472299 lBF = `3.80722` Chr`15` : `75,033,400`	0.174	0.826	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.168	0.831	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.166	0.834	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.163	0.837	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.158	0.842	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.157	0.842	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.157	0.843	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.153	0.847	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.146	0.853	0.001
rs7169223 lBF = `0.259143` Chr`15` : `78,992,116`	0.144	0.856	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.143	0.856	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.143	0.857	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.142	0.858	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.141	0.859	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.140	0.860	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.123	0.877	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.120	0.880	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.119	0.881	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.117	0.882	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.115	0.885	0.000
rs34275594 lBF = `0.368482` Chr`15` : `78,981,282`	0.112	0.888	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.109	0.890	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.108	0.891	0.001
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.108	0.891	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.107	0.892	0.001
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.107	0.893	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.106	0.893	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.105	0.895	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.101	0.899	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.098	0.902	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.094	0.906	0.000
rs12905273 lBF = `0.118888` Chr`15` : `79,002,755`	0.093	0.907	0.000
rs950776 lBF = `0.199223` Chr`15` : `78,926,018`	0.090	0.910	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.088	0.912	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.083	0.916	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.083	0.917	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.078	0.922	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.075	0.925	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.069	0.931	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.067	0.933	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.066	0.933	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.063	0.937	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.058	0.942	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.048	0.951	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.046	0.954	0.000
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.000	0.956	0.044
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.041	0.959	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.039	0.960	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.039	0.960	0.000
rs6495122 lBF = `1.14806` Chr`15` : `75,125,645`	0.040	0.960	0.000
rs1378942 lBF = `4.54504` Chr`15` : `75,077,367`	0.037	0.963	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.036	0.964	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.034	0.966	0.000
rs9806762 lBF = `-0.0430734` Chr`15` : `88,661,739`	0.000	0.966	0.034
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.033	0.967	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.033	0.967	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	0.970	0.030
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.029	0.970	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.028	0.972	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.027	0.973	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.026	0.974	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	0.974	0.026
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.025	0.974	0.001
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.025	0.975	0.001
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.024	0.975	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.024	0.976	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.024	0.976	0.000
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	0.977	0.023
rs12440014 lBF = `17.3365` Chr`15` : `78,926,726`	0.000	0.979	0.021
rs4533251 lBF = `-0.00327195` Chr`15` : `97,262,427`	0.020	0.980	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.018	0.981	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	0.982	0.018
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	0.983	0.017
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	0.984	0.016
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	0.985	0.015
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.013	0.985	0.003
rs578776 lBF = `12.2576` Chr`15` : `78,888,400`	0.000	0.985	0.015
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.014	0.986	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.013	0.987	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.011	0.989	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.989	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.011	0.989	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	0.989	0.011
rs684513 lBF = `14.0992` Chr`15` : `78,858,400`	0.000	0.990	0.010
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.010	0.990	0.000
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	0.990	0.010
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	0.990	0.010
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.009	0.991	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	0.991	0.009
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.009	0.991	0.000
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	0.000	0.991	0.009
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.003	0.991	0.005
rs8043009 lBF = `18.5049` Chr`15` : `78,908,154`	0.000	0.992	0.008
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.008	0.992	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.008	0.992	0.000
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.008	0.992	0.000
rs8042374 lBF = `18.7395` Chr`15` : `78,908,032`	0.000	0.992	0.008
rs8042059 lBF = `18.7395` Chr`15` : `78,907,859`	0.000	0.992	0.008
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	0.992	0.008
rs7177514 lBF = `18.6876` Chr`15` : `78,907,406`	0.000	0.992	0.008
rs938682 lBF = `19.6295` Chr`15` : `78,896,547`	0.000	0.992	0.008
rs8042494 lBF = `18.6762` Chr`15` : `78,908,010`	0.000	0.992	0.008
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.007	0.992	0.000
rs11071200 lBF = `0.142672` Chr`15` : `55,950,082`	0.000	0.993	0.007
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.000	0.993	0.007
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.000	0.993	0.007
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.007	0.993	0.000
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rs16969894 lBF = `10.8894` Chr`15` : `78,776,456`	0.000	0.999	0.001
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	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
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.001	0.999	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs115942227 lBF = `-0.00000509` Chr`15` : `58,105,033`	0.000	0.999	0.001
rs180709182 lBF = `-0.00002313` Chr`15` : `47,998,630`	0.000	0.999	0.001
rs3751599 lBF = `-0.00002368` Chr`15` : `51,573,533`	0.001	0.999	0.000
rs150978828 lBF = `-0.00002407` Chr`15` : `37,500,185`	0.001	0.999	0.000
rs8036030 lBF = `0.021247` Chr`15` : `74,716,609`	0.001	0.999	0.000
rs12185079 lBF = `0.00552748` Chr`15` : `100,271,253`	0.000	0.999	0.001
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.000	0.999	0.001
rs2904220 lBF = `12.8397` Chr`15` : `79,076,704`	0.000	0.999	0.001
rs1825087 lBF = `12.8373` Chr`15` : `79,077,114`	0.000	0.999	0.001
rs12050525 lBF = `12.7855` Chr`15` : `79,075,746`	0.000	0.999	0.001
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.001	0.999	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.000	0.999	0.001
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	0.999	0.001
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.001	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.001
rs2123926 lBF = `-0.0542601` Chr`15` : `100,264,518`	0.000	0.999	0.001
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.000	0.999	0.001
rs12148477 lBF = `0.256964` Chr`15` : `51,653,119`	0.001	0.999	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.001	0.999	0.000
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.000	0.999	0.001
rs11858210 lBF = `12.875` Chr`15` : `79,078,358`	0.000	0.999	0.001
rs11072805 lBF = `12.0166` Chr`15` : `79,078,518`	0.000	0.999	0.001
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.001	0.999	0.000
rs12914626 lBF = `-0.107182` Chr`15` : `58,738,423`	0.000	0.999	0.001
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	0.999	0.001
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.001	0.999	0.000
rs3105593 lBF = `-0.0296579` Chr`15` : `50,845,018`	0.001	0.999	0.000
rs78472555 lBF = `-0.0673363` Chr`15` : `100,267,322`	0.000	0.999	0.001
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.000	0.999	0.001
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.001	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs1392635 lBF = `-0.074101` Chr`15` : `69,398,026`	0.001	0.999	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	0.999	0.001
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.000	0.999	0.001
rs12907764 lBF = `12.9263` Chr`15` : `79,070,438`	0.000	0.999	0.001
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.000	0.999	0.001
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	0.999	0.001
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.001	0.999	0.000
rs11639044 lBF = `12.4408` Chr`15` : `79,083,814`	0.000	0.999	0.001
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	0.999	0.001
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	0.000	0.999	0.001
rs8033165 lBF = `0.0130614` Chr`15` : `29,006,093`	0.001	0.999	0.000
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.000	0.999	0.000
rs2467853 lBF = `-0.0789371` Chr`15` : `45,698,793`	0.000	0.999	0.001
rs12903203 lBF = `12.3822` Chr`15` : `79,084,933`	0.000	0.999	0.001
rs4886592 lBF = `12.6218` Chr`15` : `79,082,547`	0.000	0.999	0.001
rs2277546 lBF = `12.5381` Chr`15` : `79,083,376`	0.000	0.999	0.001
rs2277545 lBF = `12.5251` Chr`15` : `79,083,591`	0.000	0.999	0.001
rs11072806 lBF = `11.8753` Chr`15` : `79,079,074`	0.000	0.999	0.001
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.000	0.999	0.001
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.001	0.999	0.000
rs2453533 lBF = `-0.0781824` Chr`15` : `45,641,225`	0.000	0.999	0.001
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.000	0.999	0.001
rs17536527 lBF = `0.0983696` Chr`15` : `45,719,187`	0.000	0.999	0.001
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.001	0.999	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	0.999	0.001
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.000	0.999	0.001
rs4984460 lBF = `-0.0152318` Chr`15` : `96,424,399`	0.000	0.999	0.001
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.001	0.999	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.000	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.000
rs12148769 lBF = `-0.024698` Chr`15` : `24,152,094`	0.000	0.999	0.001
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.001	0.999	0.000
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.000	0.999	0.001

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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9965

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9958

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9944

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9898

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9883

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9855

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9803

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9710

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9419

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9269

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9214

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9045

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8973

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8965

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8951

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8920

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8876

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8876

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8693

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8618

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8578

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8554

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8356

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8327

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8300

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8249

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7997

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7914

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7880

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7761

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7750

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7689

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7334

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7200

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7122

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7106

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7089

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7014

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6930

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6610

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.6494

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6295

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6265

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6155

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6102

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5982

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5942

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5913

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5875

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5759

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5725

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5614

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5388

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5356

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5302

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5109

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4751

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4466

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4440

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4439

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4332

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4216

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4161

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4082

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4082

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3988

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3847

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3820

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3714

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3695

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3636

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3586

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3383

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3370

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3355

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3303

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3256

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3169

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3047

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2952

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2883

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2880

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2762

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2626

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2623

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2527

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2510

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2392

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2384

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2315

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2193

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2177

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2139

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2123

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2071

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2063

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1996

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1915

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1910

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1844

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1809

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1802

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1782

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1761

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1744

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1721

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1715

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1704

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1625

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1605

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1524

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1400

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1390

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1292

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1234

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1170

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1157

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1144

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1125

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1055

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0929

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0900

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.0887

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0784

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0766

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0757

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0751

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0733

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0719

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0702

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0632

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0632

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0572

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0554

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0516

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`)