TreeWAS – [Z32.0] Pregnancy, not (yet) confirmed

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
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.589	0.411	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.557	0.443	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.554	0.446	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.510	0.490	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.495	0.505	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.492	0.508	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.479	0.521	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.466	0.534	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.466	0.534	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.453	0.547	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.450	0.550	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.439	0.561	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.425	0.575	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.423	0.577	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.414	0.586	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.413	0.586	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.410	0.590	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.404	0.596	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.394	0.606	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.390	0.610	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.376	0.624	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.365	0.635	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.357	0.643	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.354	0.646	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.344	0.656	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.338	0.662	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.334	0.665	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.334	0.666	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.332	0.667	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.330	0.670	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.322	0.678	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.288	0.712	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.286	0.714	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.285	0.714	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.284	0.715	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.278	0.722	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.277	0.722	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.276	0.724	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.268	0.731	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.268	0.732	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.264	0.736	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.261	0.738	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.261	0.739	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.255	0.745	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.250	0.750	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.238	0.762	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.235	0.764	0.001
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.235	0.765	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.227	0.773	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.224	0.776	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.218	0.782	0.001
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.217	0.783	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.210	0.790	0.001
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.198	0.802	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.194	0.806	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.187	0.813	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.186	0.814	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.183	0.816	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.180	0.820	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.171	0.828	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.161	0.839	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.155	0.844	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.149	0.851	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.121	0.879	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.119	0.881	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.111	0.889	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.108	0.891	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.095	0.905	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.093	0.907	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.092	0.908	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.091	0.909	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.088	0.912	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.086	0.914	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.085	0.915	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.080	0.920	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.074	0.926	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.073	0.927	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.071	0.929	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.069	0.931	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.068	0.932	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.066	0.934	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.063	0.937	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.063	0.937	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.061	0.938	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.055	0.945	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.050	0.950	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.050	0.950	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.049	0.951	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.046	0.954	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.046	0.954	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.045	0.955	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.045	0.955	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.040	0.960	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.038	0.962	0.001
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	0.964	0.036
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.035	0.965	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.032	0.967	0.001
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.032	0.968	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.031	0.968	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	0.970	0.030
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.029	0.971	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.028	0.971	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.027	0.972	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.027	0.973	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.024	0.976	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.024	0.976	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.023	0.976	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.022	0.978	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.019	0.980	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.017	0.983	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.016	0.984	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.016	0.984	0.000
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.016	0.984	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.015	0.985	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.015	0.985	0.000
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.015	0.985	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.014	0.985	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.013	0.987	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.011	0.988	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.011	0.989	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	0.989	0.011
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.011	0.989	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.010	0.989	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.010	0.990	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.010	0.990	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.009	0.990	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.009	0.991	0.000
rs4887077 lBF = `15.5143` Chr`15` : `78,978,364`	0.009	0.991	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.009	0.991	0.000
rs11634351 lBF = `10.8007` Chr`15` : `78,944,718`	0.009	0.991	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.008	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.992	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.008	0.992	0.000
rs12901913 lBF = `15.3462` Chr`15` : `78,981,348`	0.008	0.992	0.000
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.008	0.992	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.007	0.993	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.007	0.993	0.000
rs1665050 lBF = `2.11815` Chr`15` : `59,293,605`	0.000	0.993	0.007
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.007	0.993	0.000
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.007	0.993	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.007	0.993	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.007	0.993	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.007	0.993	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.006	0.993	0.000
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.006	0.994	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.006	0.994	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.006	0.994	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.005	0.994	0.000
rs1996371 lBF = `10.4683` Chr`15` : `78,956,806`	0.006	0.994	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.006	0.994	0.000
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.006	0.994	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.005	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.005
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.005	0.995	0.000
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.005	0.995	0.000
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.005	0.995	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.005	0.995	0.001
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.005	0.995	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.005	0.995	0.000
rs6495314 lBF = `11.5014` Chr`15` : `78,960,529`	0.005	0.995	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.005	0.995	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.005	0.995	0.000
rs2869561 lBF = `12.7931` Chr`15` : `79,025,516`	0.005	0.995	0.000
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.005	0.995	0.000
rs11634397 lBF = `-0.082465` Chr`15` : `80,432,222`	0.004	0.995	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.004	0.996	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.004	0.996	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.004	0.996	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.004	0.996	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.004	0.996	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.004	0.996	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.004	0.996	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.996	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.004	0.996	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.003	0.996	0.001
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.004	0.996	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.003	0.996	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.003	0.996	0.000
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.004	0.996	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.003	0.996	0.000
rs3813565 lBF = `13.1694` Chr`15` : `79,019,610`	0.003	0.996	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.003	0.997	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.003	0.997	0.000
rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.003	0.997	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.003	0.997	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.003	0.997	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.003	0.997	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.003	0.997	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.003	0.997	0.000
rs4886584 lBF = `13.0581` Chr`15` : `79,021,464`	0.003	0.997	0.000
rs4886583 lBF = `13.0581` Chr`15` : `79,021,445`	0.003	0.997	0.000
rs4886582 lBF = `13.0576` Chr`15` : `79,021,441`	0.003	0.997	0.000
rs4887084 lBF = `12.8944` Chr`15` : `79,025,593`	0.003	0.997	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	0.997	0.003
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.003	0.997	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.003	0.997	0.000
rs3894347 lBF = `13.1778` Chr`15` : `79,026,001`	0.003	0.997	0.000
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rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.001	0.999	0.000
rs5742915 lBF = `-0.0740717` Chr`15` : `74,336,633`	0.000	0.999	0.001
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	0.999	0.001
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	0.999	0.001
rs10519005 lBF = `0.0808155` Chr`15` : `59,711,691`	0.001	0.999	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.000	0.999	0.000
rs2011905 lBF = `-0.0838647` Chr`15` : `87,053,846`	0.000	0.999	0.001
rs7403037 lBF = `-0.0870766` Chr`15` : `24,818,497`	0.000	0.999	0.001
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	0.999	0.001
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.000	0.999	0.001
rs12916300 lBF = `1.72274` Chr`15` : `28,410,491`	0.000	0.999	0.001
rs4218 lBF = `0.0590071` Chr`15` : `59,428,658`	0.001	0.999	0.000
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.001	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.001	0.999	0.000
rs587847 lBF = `-0.0314841` Chr`15` : `37,660,049`	0.000	0.999	0.001
rs12901001 lBF = `-0.0336949` Chr`15` : `86,859,476`	0.001	0.999	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	0.999	0.001
rs939658 lBF = `-0.0705366` Chr`15` : `79,451,869`	0.000	0.999	0.001
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.001	0.999	0.000
rs1601935 lBF = `0.0461629` Chr`15` : `58,671,765`	0.001	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.001	0.999	0.000
rs4533251 lBF = `-0.00327195` Chr`15` : `97,262,427`	0.000	0.999	0.001
rs35853021 lBF = `-0.0482636` Chr`15` : `58,680,643`	0.000	0.999	0.001
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.000	0.999	0.001
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.000	0.999	0.001
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	0.999	0.001
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	0.999	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.001	0.999	0.000
rs2445762 lBF = `0.0241037` Chr`15` : `51,617,708`	0.000	0.999	0.001
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.001	0.999	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.001	0.999	0.000
rs12912251 lBF = `-0.0723374` Chr`15` : `38,986,368`	0.000	0.999	0.001
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.000	0.999	0.001
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.001	0.999	0.000
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.000	0.999	0.001
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.000
rs8037818 lBF = `0.00213416` Chr`15` : `32,927,476`	0.001	0.999	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.000	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	0.999	0.000
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	0.001	0.999	0.000
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.001	0.999	0.000
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.000	0.999	0.001
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	0.999	0.001
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.001	0.999	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.001	0.999	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	0.999	0.001
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	0.999	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	0.999	0.000
rs1667394 lBF = `3.63476` Chr`15` : `28,530,182`	0.000	0.999	0.001
rs4984499 lBF = `0.0976222` Chr`15` : `96,647,793`	0.001	0.999	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	0.999	0.000
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.000	0.999	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.001	0.999	0.000
rs35600665 lBF = `-0.100694` Chr`15` : `24,741,291`	0.000	0.999	0.001
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.000	0.999	0.001
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.000	0.999	0.001
rs2929155 lBF = `22.93` Chr`15` : `79,058,013`	0.000	0.999	0.001
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	0.999	0.001
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	0.999	0.001
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	0.999	0.001
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	0.000	0.999	0.001
rs578776 lBF = `12.2576` Chr`15` : `78,888,400`	0.000	0.999	0.001
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.001	0.999	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	0.999	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.000	0.999	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	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
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	0.999	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.000	0.999	0.000
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.000	0.999	0.001
rs2289583 lBF = `-0.0314634` Chr`15` : `75,311,036`	0.001	0.999	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	0.999	0.001
rs10518765 lBF = `-0.0378225` Chr`15` : `54,680,632`	0.001	0.999	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	0.999	0.000
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.000	0.999	0.001
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	0.999	0.001
rs7182385 lBF = `-0.127416` Chr`15` : `85,435,076`	0.001	0.999	0.000
rs4932370 lBF = `40.05` Chr`15` : `91,404,705`	0.000	0.999	0.001
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	0.999	0.001
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	0.000	0.999	0.001
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	0.999	0.001
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	0.999	0.001
rs7181447 lBF = `19.7385` Chr`15` : `78,814,567`	0.000	0.999	0.001
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.000	0.999	0.001
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	0.999	0.001
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.000	0.999	0.001
rs34664138 lBF = `18.8882` Chr`15` : `78,831,624`	0.000	0.999	0.001
rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	0.000	0.999	0.001
rs35212593 lBF = `18.8452` Chr`15` : `78,831,826`	0.000	0.999	0.001
rs905739 lBF = `18.6441` Chr`15` : `78,845,110`	0.000	0.999	0.001
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.000	0.999	0.001
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.000	0.999	0.001
rs12439240 lBF = `18.4763` Chr`15` : `78,829,091`	0.000	0.999	0.001

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1738

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1164

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0723

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9783

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9732

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9501

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9444

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9402

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9352

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9252

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9175

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9063

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9037

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8995

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8902

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8899

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8898

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8877

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8770

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8710

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8569

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8517

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8470

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8442

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8370

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8305

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8260

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8242

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8168

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8164

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8150

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7896

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7829

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7795

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7716

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7694

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7643

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7570

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7482

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7452

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7443

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7383

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7377

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7329

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7252

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7233

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7230

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7187

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7182

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7140

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7129

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7096

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7064

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7021

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6931

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6908

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6884

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6870

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6818

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6817

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6799

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6757

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6721

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6683

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6676

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6663

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6615

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6577

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6521

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6437

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6392

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6313

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6016

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5975

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5857

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5810

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5761

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5634

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5579

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5555

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5546

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5536

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5486

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5441

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5431

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5409

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5370

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5337

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5297

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5199

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5139

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5136

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5119

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5041

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5017

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5005

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4993

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4931

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4883

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4693

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4485

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4382

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4280

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4197

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4103

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3984

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3978

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3936

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3863

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3855

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3672

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3644

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3503

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3479

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3458

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3395

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3358

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3348

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3346

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3218

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3039

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3005

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2946

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2939

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2758

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2588

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2567

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2494

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2331

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2305

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2302

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2210

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1996

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1948

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1908

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1863

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1832

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1614

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1614

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1367

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1276

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1266

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1264

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1113

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0985

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0920

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0671

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0654

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0641

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0614

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0593

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0569

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0554

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`)