TreeWAS – [M54.43] Lumbago with sciatica-Cervicothoracic

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
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.651	0.348	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.604	0.395	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.597	0.403	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.579	0.421	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.564	0.435	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.553	0.447	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.527	0.473	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.518	0.482	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.517	0.482	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.512	0.488	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.511	0.489	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.509	0.491	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.499	0.501	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.497	0.502	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.495	0.505	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.493	0.506	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.488	0.512	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.484	0.516	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.482	0.517	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.481	0.518	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.478	0.522	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.477	0.523	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.463	0.537	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.448	0.551	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.448	0.552	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.437	0.563	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.432	0.568	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.430	0.569	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.427	0.573	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.418	0.582	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.398	0.602	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.394	0.606	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.393	0.607	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.392	0.608	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.387	0.612	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.386	0.614	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.385	0.615	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.377	0.623	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.377	0.623	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.376	0.624	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.370	0.630	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.355	0.645	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.354	0.646	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.353	0.646	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.345	0.654	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.333	0.667	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.323	0.677	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.322	0.678	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.310	0.690	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.308	0.691	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.308	0.692	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.301	0.699	0.000
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.301	0.699	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.299	0.701	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.297	0.702	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.294	0.705	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.285	0.715	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.276	0.724	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.272	0.727	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.271	0.729	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.268	0.732	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.263	0.736	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.255	0.744	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.251	0.749	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.249	0.750	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.249	0.751	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.239	0.760	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.239	0.761	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.235	0.765	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.234	0.766	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.228	0.772	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.220	0.779	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.219	0.781	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.216	0.784	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.215	0.784	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.211	0.789	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.211	0.789	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.210	0.790	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.207	0.793	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.197	0.803	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.196	0.804	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.180	0.820	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.176	0.824	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.175	0.825	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.161	0.838	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.157	0.843	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.155	0.845	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.147	0.852	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.145	0.855	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.145	0.855	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.132	0.868	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.127	0.873	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.123	0.877	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.120	0.880	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.119	0.881	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.118	0.881	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.107	0.892	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.104	0.896	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.104	0.896	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.101	0.899	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.096	0.904	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.093	0.906	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.092	0.908	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.091	0.909	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.085	0.915	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.084	0.916	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.083	0.917	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.081	0.918	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.073	0.927	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.071	0.929	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.071	0.929	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.069	0.931	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.065	0.935	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.063	0.937	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.058	0.941	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.056	0.944	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.056	0.944	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.055	0.945	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.051	0.948	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.050	0.950	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.048	0.952	0.001
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.047	0.952	0.000
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.047	0.953	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.047	0.953	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.046	0.954	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.046	0.954	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.043	0.957	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.043	0.957	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.042	0.958	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.041	0.958	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.037	0.962	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.037	0.963	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.035	0.965	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.033	0.967	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.031	0.968	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.031	0.968	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.030	0.969	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.029	0.971	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.026	0.974	0.000
rs7173419 lBF = `0.066687` Chr`15` : `28,196,821`	0.000	0.975	0.025
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.024	0.976	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.022	0.978	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.022	0.978	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.022	0.978	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.021	0.978	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.021	0.979	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.021	0.979	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.021	0.979	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.020	0.980	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.020	0.980	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.018	0.982	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.018	0.982	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.017	0.983	0.001
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.016	0.984	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.016	0.984	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.015	0.984	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.015	0.985	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.015	0.985	0.000
rs6493858 lBF = `-0.0813485` Chr`15` : `56,736,478`	0.000	0.985	0.015
rs2929278 lBF = `-0.0360307` Chr`15` : `44,250,313`	0.000	0.986	0.014
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.013	0.987	0.000
rs7169223 lBF = `0.259143` Chr`15` : `78,992,116`	0.012	0.987	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.011	0.989	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.011	0.989	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.010	0.990	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.008	0.992	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.007	0.992	0.000
rs4533251 lBF = `-0.00327195` Chr`15` : `97,262,427`	0.007	0.992	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.007	0.993	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.007	0.993	0.000
rs34275594 lBF = `0.368482` Chr`15` : `78,981,282`	0.007	0.993	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.007	0.993	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.007	0.993	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.006	0.993	0.001
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.006	0.994	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.006	0.994	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.006	0.994	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.006	0.994	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.005	0.994	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.005	0.994	0.000
rs12905273 lBF = `0.118888` Chr`15` : `79,002,755`	0.005	0.995	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.005	0.995	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.005	0.995	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.005	0.995	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.004
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.004	0.996	0.000
rs9806762 lBF = `-0.0430734` Chr`15` : `88,661,739`	0.000	0.996	0.004
rs12901001 lBF = `-0.0336949` Chr`15` : `86,859,476`	0.003	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.003	0.997	0.000
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	0.997	0.003
rs12324870 lBF = `0.189277` Chr`15` : `78,995,801`	0.003	0.997	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.003	0.997	0.000
rs17271305 lBF = `-0.109195` Chr`15` : `62,332,980`	0.003	0.997	0.000
rs7164335 lBF = `-0.0545827` Chr`15` : `68,715,032`	0.003	0.997	0.000
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.002	0.997	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.002	0.997	0.000
rs56050415 lBF = `0.00309945` Chr`15` : `58,574,966`	0.000	0.998	0.002
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
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rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	0.999	0.001
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.001	0.999	0.000
rs6495308 lBF = `18.9316` Chr`15` : `78,907,656`	0.001	0.999	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.001	0.999	0.000
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.001	0.999	0.000
rs3971859 lBF = `12.95` Chr`15` : `79,026,277`	0.000	0.999	0.001
rs3971860 lBF = `12.95` Chr`15` : `79,026,278`	0.000	0.999	0.001
rs11071200 lBF = `0.142672` Chr`15` : `55,950,082`	0.000	0.999	0.001
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.999	0.000
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	0.999	0.001
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	0.999	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.000	0.999	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.000	0.999	0.000
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.000	0.999	0.000
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.000	0.999	0.000
rs8042374 lBF = `18.7395` Chr`15` : `78,908,032`	0.000	0.999	0.000
rs8042059 lBF = `18.7395` Chr`15` : `78,907,859`	0.000	0.999	0.000
rs7177514 lBF = `18.6876` Chr`15` : `78,907,406`	0.000	0.999	0.000
rs8042494 lBF = `18.6762` Chr`15` : `78,908,010`	0.000	0.999	0.000
rs12910984 lBF = `17.509` Chr`15` : `78,891,627`	0.001	0.999	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.000	0.999	0.000
rs11072790 lBF = `13.6677` Chr`15` : `78,992,025`	0.000	0.999	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	0.999	0.000
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	0.999	0.000
rs8192478 lBF = `9.51953` Chr`15` : `78,910,462`	0.001	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	0.999	0.000
rs7172677 lBF = `-0.00712931` Chr`15` : `75,424,593`	0.000	0.999	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	0.999	0.000
rs938682 lBF = `19.6295` Chr`15` : `78,896,547`	0.000	0.999	0.000
rs7171869 lBF = `19.4273` Chr`15` : `78,900,909`	0.000	0.999	0.000
rs8043009 lBF = `18.5049` Chr`15` : `78,908,154`	0.000	0.999	0.000
rs76919723 lBF = `13.6035` Chr`15` : `79,017,281`	0.000	0.999	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	0.999	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	0.999	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	0.999	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	0.999	0.000
rs1258767 lBF = `-0.0148593` Chr`15` : `33,126,454`	0.000	0.999	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	0.999	0.000
rs12591436 lBF = `-0.0585107` Chr`15` : `79,989,186`	0.000	0.999	0.000
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.000	0.999	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.000	0.999	0.000
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.000	0.999	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	0.999	0.000
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.000	0.999	0.000
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.000	0.999	0.000
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.000	0.999	0.000
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.000	0.999	0.000
rs4887084 lBF = `12.8944` Chr`15` : `79,025,593`	0.000	0.999	0.000
rs518425 lBF = `10.5967` Chr`15` : `78,883,813`	0.000	0.999	0.000
rs1129038 lBF = `4.88485` Chr`15` : `28,356,859`	0.000	0.999	0.000
rs17691453 lBF = `1.65764` Chr`15` : `39,543,946`	0.000	0.999	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	0.999	0.000
rs10152811 lBF = `0.0544045` Chr`15` : `86,854,590`	0.000	0.999	0.000
rs4984460 lBF = `-0.0152318` Chr`15` : `96,424,399`	0.000	0.999	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.000	0.999	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.000	0.999	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	0.999	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.000	0.999	0.000
rs2869561 lBF = `12.7931` Chr`15` : `79,025,516`	0.000	0.999	0.000
rs2028299 lBF = `0.568989` Chr`15` : `90,374,257`	0.000	0.999	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	0.999	0.000
rs117799466 lBF = `0.335038` Chr`15` : `34,659,517`	0.000	0.999	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	0.999	0.000
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	0.999	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	0.999	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.000	0.999	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.000	0.999	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.000	0.999	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	0.999	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	0.999	0.000
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	0.999	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	0.999	0.000
rs4887077 lBF = `15.5143` Chr`15` : `78,978,364`	0.000	0.999	0.000
rs12901913 lBF = `15.3462` Chr`15` : `78,981,348`	0.000	0.999	0.000
rs4886584 lBF = `13.0581` Chr`15` : `79,021,464`	0.000	0.999	0.000
rs4886583 lBF = `13.0581` Chr`15` : `79,021,445`	0.000	0.999	0.000
rs4886582 lBF = `13.0576` Chr`15` : `79,021,441`	0.000	0.999	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	0.999	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	0.999	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	0.999	0.000
rs12902137 lBF = `0.116481` Chr`15` : `24,924,663`	0.000	0.999	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	0.999	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	0.999	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	0.999	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	0.999	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.000	0.999	0.000
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.000	0.999	0.000
rs16940212 lBF = `-0.0798621` Chr`15` : `58,694,020`	0.000	0.999	0.000
rs1814880 lBF = `17.4442` Chr`15` : `79,021,140`	0.000	0.999	0.000
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.000	0.999	0.000
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.000	0.999	0.000
rs684513 lBF = `14.0992` Chr`15` : `78,858,400`	0.000	0.999	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.000	0.999	0.000
rs11634543 lBF = `13.7153` Chr`15` : `79,005,504`	0.000	0.999	0.000
rs8027972 lBF = `12.657` Chr`15` : `79,022,615`	0.000	0.999	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	0.999	0.000
rs2404602 lBF = `0.25324` Chr`15` : `77,030,792`	0.000	0.999	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7168

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7167

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7166

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7142

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7142

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7131

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7125

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7125

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7120

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7118

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7086

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7083

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7065

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7053

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7047

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7028

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7018

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7002

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6999

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6988

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6984

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6975

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6974

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6951

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6934

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6906

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6873

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6864

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6861

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6853

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6849

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6823

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6821

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6794

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6789

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6744

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6725

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6711

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6709

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6705

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6701

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6694

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6676

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6655

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6653

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6621

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6560

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6546

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6540

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6539

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6519

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6503

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6482

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6481

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6466

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6466

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6417

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6397

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6383

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6382

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6380

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6378

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6369

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6362

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6352

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6313

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6312

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6292

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6284

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6256

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6249

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6215

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6161

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6101

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6065

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6054

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6047

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6036

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6011

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6006

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5980

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5913

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5906

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5861

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5831

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5790

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5738

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5700

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5682

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5670

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5664

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5628

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5595

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5585

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5527

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5522

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5509

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5454

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5425

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5418

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5400

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5314

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5299

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5292

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5287

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5250

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5235

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5182

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5114

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5085

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5020

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5008

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5007

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4951

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4923

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4916

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4911

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4863

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4809

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4792

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4777

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4754

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4670

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4667

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4653

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4641

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4557

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4460

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4391

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4369

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4292

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4281

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4176

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4161

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.4140

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4102

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4089

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4012

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3762

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3704

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3448

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3389

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3332

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.3192

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3142

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3114

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3100

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3033

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2908

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2682

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2681

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2670

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2547

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2487

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2456

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.2266

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2261

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2237

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2099

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1898

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1881

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1784

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1706

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1702

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1673

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1648

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1600

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1570

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1568

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1546

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1463

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1415

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1346

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1208

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1166

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1027

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1021

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0918

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0904

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0814

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.0797

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0788

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0773

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0743

Cluster X0142

log Bayes Factor = 295.63

contains 12 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`)