TreeWAS – [M81.90] Osteoporosis, unspecified (Multiple sites)

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
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.715	0.285	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.669	0.331	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.656	0.344	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.656	0.344	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.636	0.364	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.611	0.389	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.584	0.416	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.553	0.447	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.544	0.456	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.522	0.478	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.521	0.479	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.517	0.482	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.484	0.516	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.460	0.540	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.458	0.542	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.452	0.548	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.425	0.575	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.421	0.579	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.403	0.597	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.390	0.610	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.382	0.618	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.374	0.626	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.370	0.630	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.364	0.636	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.358	0.642	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.357	0.643	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.356	0.643	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.346	0.654	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.344	0.655	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.334	0.665	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.328	0.672	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.325	0.675	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.322	0.677	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.318	0.681	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.315	0.685	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.310	0.690	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.300	0.700	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.294	0.706	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.293	0.706	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.292	0.708	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.289	0.711	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.280	0.720	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.280	0.720	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.277	0.722	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.276	0.724	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.275	0.725	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.270	0.730	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.268	0.732	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.266	0.734	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.262	0.738	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.260	0.739	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.253	0.746	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.248	0.752	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.247	0.753	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.247	0.753	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.240	0.760	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.239	0.761	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.236	0.764	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.235	0.765	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.234	0.766	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.234	0.766	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.230	0.770	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.225	0.775	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.220	0.780	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.217	0.783	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.211	0.789	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.210	0.790	0.001
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.205	0.794	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.203	0.797	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.203	0.797	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.200	0.800	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.198	0.801	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.198	0.802	0.001
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.198	0.802	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.196	0.804	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.191	0.809	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.190	0.810	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.185	0.815	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.179	0.820	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.179	0.821	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.178	0.822	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.178	0.822	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.175	0.825	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.173	0.827	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.170	0.830	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.168	0.832	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.167	0.833	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.165	0.835	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.163	0.837	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.158	0.842	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.157	0.843	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.155	0.845	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.153	0.847	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.150	0.850	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.144	0.856	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.143	0.857	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.141	0.858	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.139	0.861	0.001
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.138	0.862	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.137	0.863	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.135	0.864	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.135	0.865	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.133	0.867	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.132	0.867	0.001
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.131	0.868	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.129	0.871	0.000
rs6494537 lBF = `0.067618` Chr`15` : `66,051,345`	0.129	0.871	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.120	0.880	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.119	0.881	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.116	0.884	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.115	0.885	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.113	0.887	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.113	0.887	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.108	0.891	0.001
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.104	0.895	0.001
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.102	0.897	0.002
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.100	0.899	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.098	0.902	0.001
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.098	0.902	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.094	0.906	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.093	0.906	0.001
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.093	0.907	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.084	0.916	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.084	0.916	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.083	0.917	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.082	0.918	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.080	0.919	0.001
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.079	0.921	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.078	0.921	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.073	0.927	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.071	0.929	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.069	0.930	0.001
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.069	0.931	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.060	0.940	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.054	0.946	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.053	0.946	0.001
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.052	0.948	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.051	0.948	0.001
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.048	0.949	0.003
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.050	0.949	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.049	0.951	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.044	0.954	0.001
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.044	0.955	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.044	0.955	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.043	0.957	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.040	0.959	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.040	0.960	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.037	0.963	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.032	0.967	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.032	0.968	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.029	0.971	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.023	0.977	0.000
rs12148488 lBF = `-0.0718633` Chr`15` : `75,382,542`	0.022	0.978	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.022	0.978	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.022	0.978	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.021	0.979	0.000
rs11073058 lBF = `1.85639` Chr`15` : `34,989,626`	0.021	0.979	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.019	0.981	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.018	0.982	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.017	0.982	0.001
rs11073060 lBF = `1.83314` Chr`15` : `34,989,851`	0.018	0.982	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.014	0.986	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.013	0.986	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.011	0.988	0.000
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.011	0.989	0.000
rs4533251 lBF = `-0.00327195` Chr`15` : `97,262,427`	0.010	0.989	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.010	0.990	0.000
rs2444043 lBF = `0.0165355` Chr`15` : `55,534,342`	0.010	0.990	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.010	0.990	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.010	0.990	0.000
rs2125623 lBF = `0.148037` Chr`15` : `31,829,707`	0.008	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.992	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.007	0.993	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.993	0.007
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.007	0.993	0.001
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.007	0.993	0.000
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.000	0.993	0.007
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.006
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.005	0.994	0.001
rs2412475 lBF = `0.0764129` Chr`15` : `40,334,576`	0.006	0.994	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.005	0.994	0.001
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.006	0.994	0.000
rs964611 lBF = `0.0418836` Chr`15` : `48,597,514`	0.006	0.994	0.000
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.006	0.994	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.005	0.995	0.000
rs8032416 lBF = `-0.124987` Chr`15` : `62,409,070`	0.000	0.995	0.005
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.004	0.996	0.000
rs950776 lBF = `0.199223` Chr`15` : `78,926,018`	0.004	0.996	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.004	0.996	0.000
rs1394125 lBF = `0.0167156` Chr`15` : `76,158,983`	0.004	0.996	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.003	0.996	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.003	0.996	0.000
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	0.000	0.997	0.003
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.003	0.997	0.000
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	0.003	0.997	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.997	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.000	0.997	0.003
rs2120019 lBF = `0.0398977` Chr`15` : `75,334,184`	0.003	0.997	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.000	0.997	0.003
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.000	0.997	0.003
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
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rs1504549 lBF = `23.3155` Chr`15` : `78,766,629`	0.000	0.999	0.001
rs36146269 lBF = `23.2878` Chr`15` : `78,779,510`	0.000	0.999	0.001
rs4887059 lBF = `23.2298` Chr`15` : `78,782,095`	0.000	0.999	0.001
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.001	0.999	0.000
rs11637235 lBF = `-0.0455725` Chr`15` : `48,633,153`	0.000	0.999	0.001
rs11247124 lBF = `-0.0606221` Chr`15` : `100,265,725`	0.001	0.999	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	0.999	0.001
rs4299116 lBF = `23.1218` Chr`15` : `78,766,194`	0.000	0.999	0.001
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	0.999	0.001
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	0.999	0.001
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.001	0.999	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.000	0.999	0.001
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	0.999	0.001
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.000	0.999	0.001
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	0.999	0.001
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.000	0.999	0.001
rs8192477 lBF = `10.322` Chr`15` : `78,910,463`	0.001	0.999	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.001	0.999	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	0.999	0.000
rs7179228 lBF = `0.0380638` Chr`15` : `68,622,347`	0.001	0.999	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.001	0.999	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.001	0.999	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	0.999	0.000
rs35853021 lBF = `-0.0482636` Chr`15` : `58,680,643`	0.001	0.999	0.000
rs78472555 lBF = `-0.0673363` Chr`15` : `100,267,322`	0.001	0.999	0.000
rs12899351 lBF = `23.481` Chr`15` : `78,792,398`	0.000	0.999	0.001
rs4362358 lBF = `23.1905` Chr`15` : `78,796,104`	0.000	0.999	0.001
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.001	0.999	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	0.999	0.001
rs6497031 lBF = `-0.0199263` Chr`15` : `93,713,666`	0.000	0.999	0.001
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.000	0.999	0.001
rs11633886 lBF = `-0.0943819` Chr`15` : `46,078,307`	0.000	0.999	0.001
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	0.999	0.001
rs965604 lBF = `23.272` Chr`15` : `78,789,223`	0.000	0.999	0.001
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.001	0.999	0.000
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.001	0.999	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	0.999	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	0.999	0.000
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	0.999	0.001
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.001	0.999	0.000
rs11071033 lBF = `-0.0835102` Chr`15` : `54,380,200`	0.000	0.999	0.001
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	0.999	0.001
rs12594711 lBF = `23.1532` Chr`15` : `78,793,921`	0.000	0.999	0.001
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.001	0.999	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.001	0.999	0.000
rs6495122 lBF = `1.14806` Chr`15` : `75,125,645`	0.000	0.999	0.001
rs1370156 lBF = `0.654635` Chr`15` : `34,984,883`	0.001	0.999	0.000
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.001	0.999	0.000
rs8036030 lBF = `0.021247` Chr`15` : `74,716,609`	0.001	0.999	0.000
rs8033195 lBF = `0.010868` Chr`15` : `94,872,686`	0.000	0.999	0.000
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.000	0.999	0.001
rs4965593 lBF = `-0.0671532` Chr`15` : `100,758,385`	0.001	0.999	0.000
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.001	0.999	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.000	0.999	0.001
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.001	0.999	0.000
rs7166783 lBF = `5.49465` Chr`15` : `84,161,111`	0.001	0.999	0.000
rs8042680 lBF = `1.52245` Chr`15` : `91,521,337`	0.001	0.999	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	0.999	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	0.999	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	0.999	0.000
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.000	0.999	0.000
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	0.999	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.001	0.999	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.000	0.999	0.001
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.000	0.999	0.001
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	0.999	0.001
rs8032158 lBF = `4.57586` Chr`15` : `56,194,877`	0.000	0.999	0.000
rs2404602 lBF = `0.25324` Chr`15` : `77,030,792`	0.001	0.999	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	0.999	0.001
rs12185079 lBF = `0.00552748` Chr`15` : `100,271,253`	0.001	0.999	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	0.999	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	0.999	0.000
rs8041943 lBF = `-0.0444366` Chr`15` : `79,966,600`	0.000	0.999	0.001
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.000	0.999	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.000	0.999	0.001
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.000	0.999	0.001
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	0.999	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	0.999	0.001
rs340029 lBF = `-0.0381864` Chr`15` : `60,894,965`	0.000	0.999	0.001
rs7175404 lBF = `-0.0549224` Chr`15` : `94,036,688`	0.000	0.999	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.000	0.999	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.000	0.999	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	0.999	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.000	0.999	0.000
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.000	0.999	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	0.999	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	0.999	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	0.999	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	0.999	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.999	0.000
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	0.999	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.000	1.000	0.000
rs2290203 lBF = `0.222692` Chr`15` : `91,512,067`	0.000	1.000	0.000
rs4218 lBF = `0.0590071` Chr`15` : `59,428,658`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs4965598 lBF = `-0.0678203` Chr`15` : `100,759,614`	0.000	1.000	0.000
rs7164176 lBF = `-0.0889379` Chr`15` : `92,211,774`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0312

log Bayes Factor = 35.9944

contains 2 variants

0.4492

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9969

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9937

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9863

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9843

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9721

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9707

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9334

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9080

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9055

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9051

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.8915

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8835

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8817

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8549

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8383

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8363

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8362

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8341

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8253

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8186

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8070

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7713

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7704

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7554

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7539

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7477

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7297

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7171

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7139

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7115

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7068

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7039

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.6995

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6950

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6887

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6814

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6722

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6721

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6541

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6348

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6304

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6266

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6199

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6161

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5981

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5868

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5847

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5802

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5735

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5579

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5567

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5542

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5351

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5326

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5293

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5182

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5178

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5113

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5044

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4984

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4961

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4897

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4881

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4829

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4828

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4701

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4463

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4251

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4178

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4086

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3965

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3928

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3917

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3841

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3836

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3808

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3804

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3731

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3704

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3607

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3309

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3224

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2948

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2866

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2827

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2806

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2755

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2722

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2691

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2669

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2656

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2638

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2631

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2566

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2410

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2390

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2380

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2378

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2318

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.2304

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2223

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2218

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2127

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2094

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2083

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2067

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2056

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2027

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2025

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2006

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1999

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1898

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1855

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1734

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1728

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1703

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1697

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1560

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1558

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1531

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1484

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1455

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1410

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1350

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1332

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1308

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1293

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1288

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1275

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1275

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1234

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1190

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1150

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1145

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1071

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.1057

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1012

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1001

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0999

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0943

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0932

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0882

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0866

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0863

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0828

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0824

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0824

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0820

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0775

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0771

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0764

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0748

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0741

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0729

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0710

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0704

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0698

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0667

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0611

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0559

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0556

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0538

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0534

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0523

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`)