TreeWAS – [M79.64] Pain in limb (Hand)

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
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.708	0.292	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.637	0.363	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.624	0.376	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.599	0.400	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.597	0.403	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.592	0.408	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.591	0.409	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.569	0.430	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.562	0.438	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.523	0.477	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.520	0.480	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.511	0.488	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.503	0.497	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.492	0.508	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.486	0.514	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.485	0.515	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.474	0.525	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.470	0.530	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.466	0.534	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.464	0.536	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.455	0.545	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.452	0.548	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.446	0.554	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.441	0.559	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.412	0.588	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.408	0.592	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.392	0.608	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.378	0.622	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.378	0.622	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.373	0.627	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.368	0.632	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.333	0.667	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.331	0.669	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.319	0.681	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.306	0.694	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.305	0.694	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.301	0.699	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.292	0.708	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.282	0.718	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.265	0.735	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.262	0.738	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.259	0.741	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.248	0.751	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.248	0.752	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.243	0.757	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.234	0.766	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.232	0.768	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.231	0.769	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.221	0.779	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.217	0.783	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.211	0.789	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.211	0.789	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.209	0.791	0.001
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.202	0.798	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.195	0.805	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.193	0.807	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.192	0.808	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.190	0.810	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.186	0.814	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.185	0.815	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.184	0.816	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.176	0.824	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.176	0.824	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.175	0.825	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.169	0.831	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.167	0.833	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.167	0.833	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.166	0.834	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.159	0.841	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.154	0.846	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.151	0.849	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.151	0.849	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.145	0.854	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.144	0.856	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.144	0.856	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.135	0.865	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.125	0.874	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.118	0.882	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.110	0.890	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	0.893	0.107
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.104	0.896	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.099	0.901	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.099	0.901	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.096	0.904	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.093	0.907	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.088	0.911	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.087	0.913	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.086	0.914	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.083	0.917	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.079	0.921	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.078	0.922	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.075	0.924	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.073	0.926	0.001
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.073	0.927	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.072	0.928	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.066	0.934	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.066	0.934	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.065	0.934	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.061	0.938	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.060	0.939	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.059	0.941	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.058	0.942	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.057	0.943	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.054	0.946	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.054	0.946	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.043	0.956	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.042	0.957	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.042	0.958	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.041	0.959	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.039	0.961	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.039	0.961	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.037	0.963	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.035	0.965	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.031	0.969	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.030	0.970	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.029	0.971	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.027	0.973	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.024	0.975	0.001
rs4533267 lBF = `0.0106736` Chr`15` : `100,786,271`	0.000	0.976	0.024
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.022	0.978	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.022	0.978	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.022	0.978	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.021	0.978	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.021	0.979	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.021	0.979	0.000
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	0.000	0.979	0.021
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.020	0.980	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.018	0.982	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.018	0.982	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.017	0.983	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.015	0.984	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.015	0.985	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.014	0.985	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.013	0.987	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.013	0.987	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.012	0.987	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.012	0.988	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.011	0.988	0.000
rs7173419 lBF = `0.066687` Chr`15` : `28,196,821`	0.000	0.988	0.012
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.011	0.988	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.009	0.991	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.009	0.991	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.008	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.992	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.008	0.992	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.007	0.992	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.007	0.993	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.007	0.993	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.007	0.993	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.007	0.993	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.006	0.993	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.006	0.993	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.006	0.994	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.006	0.994	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.005	0.994	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.005	0.994	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.005	0.995	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.004
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.004	0.996	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.004	0.996	0.000
rs4533251 lBF = `-0.00327195` Chr`15` : `97,262,427`	0.004	0.996	0.000
rs3743104 lBF = `-0.0984586` Chr`15` : `33,023,985`	0.000	0.996	0.004
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.997	0.000
rs2118405 lBF = `-0.00674688` Chr`15` : `96,975,868`	0.000	0.997	0.003
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.001	0.997	0.002
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	0.997	0.003
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.003	0.997	0.000
rs2123926 lBF = `-0.0542601` Chr`15` : `100,264,518`	0.003	0.997	0.000
rs4965598 lBF = `-0.0678203` Chr`15` : `100,759,614`	0.000	0.997	0.003
rs3784609 lBF = `-0.0716229` Chr`15` : `60,910,550`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.002	0.998	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs17439560 lBF = `-0.016614` Chr`15` : `37,449,619`	0.000	0.998	0.002
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.002	0.998	0.000
rs1394125 lBF = `0.0167156` Chr`15` : `76,158,983`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.002	0.998	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.002	0.998	0.000
rs11638815 lBF = `-0.08113` Chr`15` : `83,352,282`	0.000	0.998	0.002
rs78472555 lBF = `-0.0673363` Chr`15` : `100,267,322`	0.002	0.998	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.002	0.998	0.000
rs11247124 lBF = `-0.0606221` Chr`15` : `100,265,725`	0.002	0.998	0.000
rs4965593 lBF = `-0.0671532` Chr`15` : `100,758,385`	0.000	0.998	0.002
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.000	0.998	0.002
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.000	0.998	0.002
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.002	0.998	0.000
rs1874252 lBF = `-0.0351034` Chr`15` : `38,962,756`	0.000	0.998	0.002
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.998	0.001
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.001	0.998	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.001	0.998	0.001
rs1440372 lBF = `0.213928` Chr`15` : `67,033,151`	0.000	0.998	0.001
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.001
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	0.998	0.001
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.001	0.999	0.000
rs2934442 lBF = `0.0124256` Chr`15` : `57,762,793`	0.000	0.999	0.001
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.001	0.999	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.001	0.999	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.001	0.999	0.000
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rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs12899449 lBF = `-0.0568353` Chr`15` : `38,995,491`	0.000	1.000	0.000
rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.000	1.000	0.000
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.000	1.000	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.000	1.000	0.000
rs8029989 lBF = `-0.0610786` Chr`15` : `38,733,847`	0.000	1.000	0.000
rs56062135 lBF = `22.0047` Chr`15` : `67,455,630`	0.000	1.000	0.000
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	0.000	1.000	0.000
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.000	1.000	0.000
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.000	1.000	0.000
rs11071033 lBF = `-0.0835102` Chr`15` : `54,380,200`	0.000	1.000	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.000	1.000	0.000
rs8024033 lBF = `0.115052` Chr`15` : `40,403,657`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.000	1.000	0.000
rs7172677 lBF = `-0.00712931` Chr`15` : `75,424,593`	0.000	1.000	0.000
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs8032675 lBF = `-0.0863382` Chr`15` : `67,959,464`	0.000	1.000	0.000
rs997295 lBF = `-0.0911978` Chr`15` : `68,016,343`	0.000	1.000	0.000
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.000	1.000	0.000
rs4886591 lBF = `13.1684` Chr`15` : `79,074,518`	0.000	1.000	0.000
rs4887083 lBF = `12.6659` Chr`15` : `79,025,577`	0.000	1.000	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.000	1.000	0.000
rs2388436 lBF = `0.494634` Chr`15` : `94,689,653`	0.000	1.000	0.000
rs11852984 lBF = `0.0949112` Chr`15` : `35,105,657`	0.000	1.000	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.000	1.000	0.000
rs964611 lBF = `0.0418836` Chr`15` : `48,597,514`	0.000	1.000	0.000
rs2044029 lBF = `0.0353407` Chr`15` : `71,679,959`	0.000	1.000	0.000
rs8036030 lBF = `0.021247` Chr`15` : `74,716,609`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs1352323 lBF = `-0.00755766` Chr`15` : `92,995,641`	0.000	1.000	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.000	1.000	0.000
rs7179575 lBF = `-0.0527773` Chr`15` : `27,323,199`	0.000	1.000	0.000
rs4776997 lBF = `-0.0588064` Chr`15` : `68,150,923`	0.000	1.000	0.000
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.000	1.000	0.000
rs1365505 lBF = `-0.0678241` Chr`15` : `50,477,138`	0.000	1.000	0.000
rs12912251 lBF = `-0.0723374` Chr`15` : `38,986,368`	0.000	1.000	0.000
rs56205728 lBF = `-0.0752702` Chr`15` : `40,567,237`	0.000	1.000	0.000
rs4502156 lBF = `-0.119286` Chr`15` : `62,383,155`	0.000	1.000	0.000
rs72743461 lBF = `21.8932` Chr`15` : `67,441,750`	0.000	1.000	0.000
rs17293632 lBF = `21.6143` Chr`15` : `67,442,596`	0.000	1.000	0.000
rs8027972 lBF = `12.657` Chr`15` : `79,022,615`	0.000	1.000	0.000
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	0.000	1.000	0.000
rs3825807 lBF = `10.7606` Chr`15` : `79,089,111`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs1370156 lBF = `0.654635` Chr`15` : `34,984,883`	0.000	1.000	0.000
rs7184046 lBF = `0.541406` Chr`15` : `75,866,150`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs56050415 lBF = `0.00309945` Chr`15` : `58,574,966`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs1898111 lBF = `-0.015389` Chr`15` : `47,892,298`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs11637235 lBF = `-0.0455725` Chr`15` : `48,633,153`	0.000	1.000	0.000
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.000	1.000	0.000
rs11857380 lBF = `-0.057484` Chr`15` : `58,712,203`	0.000	1.000	0.000
rs6083 lBF = `-0.0716222` Chr`15` : `58,838,010`	0.000	1.000	0.000
rs937254 lBF = `-0.0852167` Chr`15` : `57,910,164`	0.000	1.000	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.000	1.000	0.000
rs4887084 lBF = `12.8944` Chr`15` : `79,025,593`	0.000	1.000	0.000
rs2869561 lBF = `12.7931` Chr`15` : `79,025,516`	0.000	1.000	0.000
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.000	1.000	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.000	1.000	0.000
rs1665050 lBF = `2.11815` Chr`15` : `59,293,605`	0.000	1.000	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	1.000	0.000
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	1.000	0.000
rs3743266 lBF = `0.0106142` Chr`15` : `60,781,513`	0.000	1.000	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	1.000	0.000
rs12148769 lBF = `-0.024698` Chr`15` : `24,152,094`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.000	1.000	0.000
rs2777491 lBF = `-0.053517` Chr`15` : `41,735,710`	0.000	1.000	0.000
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.000	1.000	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	1.000	0.000
rs4887077 lBF = `15.5143` Chr`15` : `78,978,364`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9895

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9893

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9881

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9842

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9824

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9766

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9752

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9739

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9710

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9698

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9640

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9585

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9578

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9519

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9492

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9444

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9430

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9426

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9407

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9339

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9333

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9266

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9221

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9167

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9130

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9099

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9089

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8968

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8855

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8838

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8781

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8758

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8757

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8752

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8742

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8692

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8664

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8643

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8639

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.8621

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8617

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8504

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8482

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8451

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8448

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8245

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8078

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8059

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8042

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7679

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7664

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7540

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7492

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7489

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7457

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7409

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7356

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7319

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7271

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7167

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7167

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7166

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7158

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7005

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6986

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6924

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6796

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6721

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6673

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6526

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6508

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6442

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6366

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6351

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6282

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6224

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6193

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6103

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5973

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5933

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5702

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5656

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5602

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5573

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5510

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5488

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5438

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5168

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5095

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5023

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4984

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4973

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4667

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4629

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4437

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4337

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4256

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4237

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4200

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4189

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4125

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4111

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4076

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3856

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3822

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3816

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3804

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3539

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3527

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3446

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3348

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3309

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3280

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3266

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3206

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3168

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2556

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2469

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2338

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2243

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2186

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2148

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2141

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2071

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2028

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1924

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1890

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1831

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1814

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1754

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1575

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1463

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1392

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1357

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1356

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1305

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1245

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1208

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1192

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0815

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0755

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0735

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0654

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0609

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0564

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0536

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`)