TreeWAS – [M54.37] Sciatica (Lumbosacral region)

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
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.808	0.192	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.767	0.233	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.627	0.373	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.593	0.407	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.580	0.420	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.574	0.425	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.574	0.426	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.571	0.429	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.561	0.439	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.545	0.455	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.529	0.470	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.523	0.476	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.500	0.500	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.493	0.507	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.492	0.508	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.489	0.511	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.484	0.516	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.484	0.516	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.476	0.523	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.470	0.530	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.460	0.540	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.452	0.548	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.449	0.551	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.449	0.551	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.442	0.558	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.430	0.570	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.428	0.572	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.425	0.575	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.416	0.584	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.414	0.586	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.414	0.586	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.405	0.594	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.399	0.600	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.398	0.602	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.394	0.606	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.394	0.606	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.393	0.607	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.391	0.609	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.391	0.609	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.376	0.624	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.371	0.629	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.356	0.644	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.355	0.645	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.353	0.647	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.345	0.654	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.336	0.664	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.333	0.666	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.331	0.669	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.320	0.680	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.307	0.692	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.306	0.694	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.301	0.699	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.301	0.699	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.299	0.701	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.286	0.714	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.282	0.718	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.281	0.719	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.278	0.722	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.269	0.731	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.258	0.742	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.253	0.746	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.253	0.747	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.251	0.749	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.248	0.752	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.241	0.759	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.238	0.762	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.237	0.763	0.000
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.236	0.764	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.233	0.767	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.223	0.776	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.212	0.788	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
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.205	0.794	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.202	0.798	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.197	0.802	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.189	0.811	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.186	0.813	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.186	0.813	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.183	0.817	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.179	0.820	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.175	0.825	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.167	0.833	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.165	0.835	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.164	0.836	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.159	0.840	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.155	0.845	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.144	0.855	0.001
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.140	0.860	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.134	0.866	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.129	0.871	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.124	0.876	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.117	0.882	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.106	0.894	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.103	0.896	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.103	0.897	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.100	0.900	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.094	0.906	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.092	0.908	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.091	0.909	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.086	0.913	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.086	0.914	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.085	0.915	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.083	0.916	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.082	0.918	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.080	0.920	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.074	0.926	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.071	0.929	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.070	0.929	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.070	0.930	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.068	0.932	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.067	0.933	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.060	0.940	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.059	0.941	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.058	0.942	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.048	0.951	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.047	0.952	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.047	0.953	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.047	0.953	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.042	0.958	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.041	0.959	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.040	0.960	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.039	0.961	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.036	0.964	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.035	0.965	0.001
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.033	0.966	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.032	0.968	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.031	0.968	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.031	0.968	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.031	0.969	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.028	0.972	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.027	0.973	0.000
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.027	0.973	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.025	0.975	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.022	0.978	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.022	0.978	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.021	0.978	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.021	0.979	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.020	0.979	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.020	0.980	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.020	0.980	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.018	0.982	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.017	0.982	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.016	0.983	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.016	0.984	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.016	0.984	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.015	0.985	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.015	0.985	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.014	0.986	0.000
rs1365505 lBF = `-0.0678241` Chr`15` : `50,477,138`	0.000	0.986	0.014
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.014	0.986	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.013	0.987	0.000
rs6493858 lBF = `-0.0813485` Chr`15` : `56,736,478`	0.000	0.987	0.013
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.011	0.989	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.011	0.989	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.010	0.989	0.000
rs7173419 lBF = `0.066687` Chr`15` : `28,196,821`	0.000	0.990	0.010
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.010	0.990	0.000
rs4533251 lBF = `-0.00327195` Chr`15` : `97,262,427`	0.008	0.992	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.008	0.992	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.008	0.992	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.007	0.992	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.007	0.993	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.007	0.993	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.007	0.993	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.006	0.994	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.006	0.994	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.006	0.994	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.006	0.994	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.005	0.994	0.001
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.005	0.994	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.005	0.995	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.005	0.995	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.005	0.995	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.005	0.995	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.005	0.995	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.005	0.995	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.005	0.995	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.005	0.995	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	0.995	0.004
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.004	0.995	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.004	0.995	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.996	0.004
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.004	0.996	0.000
rs3105593 lBF = `-0.0296579` Chr`15` : `50,845,018`	0.004	0.996	0.000
rs1874252 lBF = `-0.0351034` Chr`15` : `38,962,756`	0.004	0.996	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.003	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs12916300 lBF = `1.72274` Chr`15` : `28,410,491`	0.000	0.997	0.003
rs8030136 lBF = `-0.0708881` Chr`15` : `25,022,988`	0.000	0.997	0.003
rs2414059 lBF = `-0.0442451` Chr`15` : `50,873,344`	0.003	0.997	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.003	0.997	0.000
rs7169223 lBF = `0.259143` Chr`15` : `78,992,116`	0.003	0.997	0.001
rs1129038 lBF = `4.88485` Chr`15` : `28,356,859`	0.000	0.997	0.003
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.003	0.997	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.003	0.997	0.000
rs765787 lBF = `-0.0573734` Chr`15` : `45,500,047`	0.000	0.997	0.003
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.002	0.998	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.002	0.998	0.000
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rs2086452 lBF = `-0.112527` Chr`15` : `100,728,663`	0.000	0.999	0.001
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.001	0.999	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.001	0.999	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.001	0.999	0.000
rs2238300 lBF = `0.00674349` Chr`15` : `89,851,580`	0.001	0.999	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.999	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.001	0.999	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	0.999	0.000
rs17776563 lBF = `-0.048539` Chr`15` : `89,119,104`	0.000	0.999	0.001
rs17228178 lBF = `-0.105391` Chr`15` : `31,469,928`	0.000	0.999	0.001
rs4362358 lBF = `23.1905` Chr`15` : `78,796,104`	0.000	0.999	0.001
rs4299116 lBF = `23.1218` Chr`15` : `78,766,194`	0.000	0.999	0.001
rs1258763 lBF = `3.60508` Chr`15` : `33,050,423`	0.001	0.999	0.000
rs1665050 lBF = `2.11815` Chr`15` : `59,293,605`	0.000	0.999	0.001
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.000	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	0.999	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	0.999	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	0.999	0.000
rs4932194 lBF = `-0.0542618` Chr`15` : `89,245,239`	0.001	0.999	0.000
rs1504549 lBF = `23.3155` Chr`15` : `78,766,629`	0.000	0.999	0.001
rs12594711 lBF = `23.1532` Chr`15` : `78,793,921`	0.000	0.999	0.001
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	0.999	0.000
rs11635191 lBF = `0.0617191` Chr`15` : `74,550,050`	0.001	0.999	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	0.999	0.001
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	0.999	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	0.999	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	0.999	0.000
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	0.000	0.999	0.000
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	0.999	0.001
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	0.999	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.001	0.999	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.001	0.999	0.000
rs12904234 lBF = `23.0302` Chr`15` : `78,779,384`	0.000	0.999	0.001
rs12903295 lBF = `23.0086` Chr`15` : `78,778,972`	0.000	0.999	0.001
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	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
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	0.999	0.000
rs587847 lBF = `-0.0314841` Chr`15` : `37,660,049`	0.001	0.999	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	0.999	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.001	0.999	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.001	0.999	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	0.999	0.000
rs1436953 lBF = `-0.114458` Chr`15` : `62,414,014`	0.000	0.999	0.001
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.001	0.999	0.000
rs1062980 lBF = `21.6264` Chr`15` : `78,792,527`	0.000	0.999	0.000
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.000	0.999	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.999	0.000
rs10152811 lBF = `0.0544045` Chr`15` : `86,854,590`	0.001	0.999	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	0.999	0.000
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.000	0.999	0.001
rs7164335 lBF = `-0.0545827` Chr`15` : `68,715,032`	0.000	0.999	0.000
rs7164176 lBF = `-0.0889379` Chr`15` : `92,211,774`	0.000	0.999	0.000
rs12899351 lBF = `23.481` Chr`15` : `78,792,398`	0.000	0.999	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	0.999	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	0.999	0.000
rs8023401 lBF = `0.0777811` Chr`15` : `48,703,823`	0.001	0.999	0.000
rs4965272 lBF = `0.0640466` Chr`15` : `100,584,739`	0.000	0.999	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	0.999	0.000
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	0.999	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	0.999	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	0.999	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	0.999	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	0.999	0.000
rs4076457 lBF = `-0.0184089` Chr`15` : `78,007,213`	0.001	0.999	0.000
rs11073328 lBF = `-0.0231755` Chr`15` : `38,764,843`	0.000	0.999	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	0.999	0.000
rs12148329 lBF = `-0.0771872` Chr`15` : `81,001,278`	0.000	0.999	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	0.999	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.001	0.999	0.000
rs12592111 lBF = `20.7266` Chr`15` : `78,767,346`	0.000	0.999	0.000
rs12591452 lBF = `11.8657` Chr`15` : `49,273,619`	0.000	0.999	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	0.999	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	0.999	0.001
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
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	0.999	0.000
rs6494537 lBF = `0.067618` Chr`15` : `66,051,345`	0.001	0.999	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	0.999	0.000
rs12593813 lBF = `-0.0607882` Chr`15` : `68,036,852`	0.000	0.999	0.000
rs11071720 lBF = `-0.070091` Chr`15` : `63,341,996`	0.000	0.999	0.000
rs11637656 lBF = `23.7386` Chr`15` : `78,751,961`	0.000	0.999	0.000
rs12910910 lBF = `23.6547` Chr`15` : `78,767,850`	0.000	0.999	0.000
rs8042260 lBF = `23.6429` Chr`15` : `78,774,374`	0.000	0.999	0.000
rs12916801 lBF = `23.5612` Chr`15` : `78,769,130`	0.000	0.999	0.000
rs8043227 lBF = `23.5612` Chr`15` : `78,768,871`	0.000	0.999	0.000
rs1964678 lBF = `20.5711` Chr`15` : `78,754,000`	0.000	0.999	0.000
rs936229 lBF = `2.72675` Chr`15` : `75,132,319`	0.000	0.999	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	0.999	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	0.999	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.999	0.000
rs970843 lBF = `-0.0275345` Chr`15` : `98,876,029`	0.000	0.999	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	0.999	0.000
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.000	0.999	0.000
rs711355 lBF = `-0.0844351` Chr`15` : `30,193,468`	0.000	0.999	0.000
rs56062135 lBF = `22.0047` Chr`15` : `67,455,630`	0.000	0.999	0.000
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	0.000	0.999	0.000
rs4887057 lBF = `21.4579` Chr`15` : `78,760,918`	0.000	0.999	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	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 X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9855

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9715

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9641

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9584

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9530

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9161

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8973

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8827

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8824

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8788

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8773

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8631

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8610

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8577

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8514

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8487

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8419

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8208

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8150

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8120

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8055

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8024

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7954

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7854

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7854

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7838

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7802

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7764

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7763

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7702

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7627

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7519

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7499

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7371

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7316

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7275

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7271

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7242

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7232

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7212

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7207

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7156

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7131

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7048

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7013

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6992

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6947

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6861

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6813

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6692

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6668

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6657

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6651

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6626

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6523

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6499

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6474

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6428

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6354

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6291

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6280

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6244

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6228

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6173

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6123

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6093

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6065

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6015

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5993

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5989

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5978

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5958

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5958

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5930

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5826

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5825

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5787

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5707

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5672

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5585

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5529

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5497

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5492

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5490

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5402

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5401

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5362

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5352

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5339

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5266

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5186

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5177

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5060

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4923

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4827

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4818

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4762

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4645

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4624

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4589

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4539

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4445

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4374

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.4352

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4305

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4302

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4125

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3911

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3780

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3715

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3690

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3686

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3676

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3668

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3599

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3587

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3574

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3561

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3503

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3449

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3446

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3373

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3311

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3185

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3030

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2986

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2862

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.2856

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2792

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2688

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2510

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2456

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2439

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2363

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2296

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2214

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2183

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2163

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2161

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2107

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2055

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2033

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2022

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1984

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1978

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1953

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1889

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1887

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1875

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1795

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1655

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.1606

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1604

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1453

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1428

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1424

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1422

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1388

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1321

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1297

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1258

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1211

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1183

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1126

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1108

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0997

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0995

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0962

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0909

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0907

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0878

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0867

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0821

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0649

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0602

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0556

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`)