TreeWAS – [O63.9] Long labour, unspecified

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
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.803	0.197	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.695	0.305	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.694	0.306	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.687	0.313	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.653	0.347	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.626	0.374	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.598	0.402	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.589	0.411	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.588	0.412	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.587	0.413	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.581	0.419	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.566	0.434	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.563	0.437	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.557	0.443	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.543	0.457	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.525	0.475	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.507	0.493	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.505	0.495	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.501	0.499	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.461	0.539	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.446	0.554	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.443	0.557	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.405	0.595	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.403	0.597	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.401	0.599	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.367	0.632	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.366	0.634	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.352	0.648	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.338	0.662	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.337	0.663	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.336	0.664	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.316	0.684	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.308	0.692	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.308	0.692	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.307	0.692	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.305	0.695	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.304	0.696	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.303	0.697	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.299	0.701	0.000
rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.299	0.701	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.292	0.708	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.275	0.725	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.272	0.728	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.266	0.734	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.265	0.735	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.259	0.741	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.255	0.744	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.245	0.755	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.244	0.755	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.244	0.756	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.241	0.759	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.234	0.765	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.234	0.766	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.233	0.767	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.229	0.771	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.228	0.772	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.226	0.773	0.000
rs2351491 lBF = `0.0202389` Chr`15` : `89,398,105`	0.226	0.774	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.210	0.789	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.207	0.793	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.202	0.798	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.200	0.799	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.198	0.802	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.196	0.804	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.192	0.807	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.180	0.820	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.174	0.826	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.168	0.832	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.166	0.833	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.160	0.839	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.156	0.844	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.156	0.844	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.153	0.847	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.153	0.847	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.143	0.856	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.136	0.864	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.132	0.868	0.001
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.127	0.873	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.117	0.882	0.001
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.111	0.888	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.097	0.903	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.096	0.904	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.095	0.905	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.092	0.908	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.091	0.909	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.089	0.911	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.084	0.916	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.082	0.918	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.080	0.920	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.074	0.926	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.072	0.927	0.001
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	0.934	0.066
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.064	0.936	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.063	0.937	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.058	0.942	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.058	0.942	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.056	0.944	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.052	0.948	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.052	0.948	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.051	0.948	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.050	0.950	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.046	0.953	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.045	0.954	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.045	0.955	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.044	0.956	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.042	0.958	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.040	0.960	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.040	0.960	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.961	0.039
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.039	0.961	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.039	0.961	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.038	0.962	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.036	0.964	0.001
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.035	0.965	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.033	0.967	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.031	0.968	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	0.969	0.031
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.029	0.970	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.028	0.971	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.027	0.973	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.025	0.975	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.022	0.978	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.019	0.981	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.017	0.983	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.017	0.983	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.017	0.983	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.016	0.984	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.016	0.984	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.015	0.985	0.001
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	0.985	0.015
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.014	0.986	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	0.986	0.014
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.014	0.986	0.000
rs188133 lBF = `0.0295211` Chr`15` : `47,702,442`	0.000	0.986	0.014
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	0.987	0.013
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.012	0.987	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.012	0.988	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.011	0.989	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.005	0.989	0.006
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.010	0.990	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.006	0.990	0.004
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.991	0.009
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.000	0.991	0.009
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.008	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.992	0.000
rs748404 lBF = `0.0377332` Chr`15` : `43,559,231`	0.008	0.992	0.000
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.008	0.992	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.006	0.992	0.002
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.008	0.992	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.007	0.993	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.007	0.993	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.007	0.993	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.007	0.993	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.006	0.994	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.005	0.994	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.005	0.995	0.001
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.005	0.995	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.005	0.995	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	0.995	0.005
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.995	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.005	0.995	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	0.995	0.005
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.004	0.995	0.001
rs17302400 lBF = `-0.0499626` Chr`15` : `59,824,987`	0.004	0.996	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.004	0.996	0.000
rs12899449 lBF = `-0.0568353` Chr`15` : `38,995,491`	0.000	0.996	0.004
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.004	0.996	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.003	0.996	0.001
rs67175876 lBF = `9.17872` Chr`15` : `78,928,399`	0.004	0.996	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.004	0.996	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	0.996	0.004
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs12912251 lBF = `-0.0723374` Chr`15` : `38,986,368`	0.000	0.997	0.003
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.003	0.997	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	0.997	0.003
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.003	0.997	0.000
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.003	0.997	0.000
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.000	0.997	0.003
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.002	0.997	0.001
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.000	0.997	0.003
rs3743266 lBF = `0.0106142` Chr`15` : `60,781,513`	0.000	0.997	0.003
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.997	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.002	0.997	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.003	0.997	0.000
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	0.003	0.997	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.002	0.997	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	0.997	0.002
rs11074250 lBF = `0.0134865` Chr`15` : `94,631,472`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	0.998	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.001
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.002	0.998	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.002	0.998	0.000
rs4778879 lBF = `-0.0858533` Chr`15` : `79,372,875`	0.000	0.998	0.002
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	0.998	0.002
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.002	0.998	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.002	0.998	0.000
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rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	0.999	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.001	0.999	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.999	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.999	0.000
rs12913259 lBF = `-0.0449469` Chr`15` : `51,014,716`	0.001	0.999	0.000
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.000	0.999	0.000
rs12592111 lBF = `20.7266` Chr`15` : `78,767,346`	0.001	0.999	0.000
rs2627323 lBF = `6.78206` Chr`15` : `81,021,383`	0.001	0.999	0.000
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.000	0.999	0.000
rs11852984 lBF = `0.0949112` Chr`15` : `35,105,657`	0.001	0.999	0.000
rs8038465 lBF = `-0.0298584` Chr`15` : `73,978,337`	0.000	0.999	0.001
rs2028299 lBF = `0.568989` Chr`15` : `90,374,257`	0.001	0.999	0.000
rs7184046 lBF = `0.541406` Chr`15` : `75,866,150`	0.001	0.999	0.000
rs2567426 lBF = `0.13365` Chr`15` : `96,332,861`	0.001	0.999	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	0.999	0.000
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.001	0.999	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.000	0.999	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	0.999	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	0.999	0.000
rs8037790 lBF = `0.0814415` Chr`15` : `92,542,831`	0.000	0.999	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	0.999	0.000
rs8043440 lBF = `0.0114729` Chr`15` : `26,973,086`	0.000	0.999	0.000
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.001	0.999	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	0.999	0.000
rs5742915 lBF = `-0.0740717` Chr`15` : `74,336,633`	0.000	0.999	0.000
rs1504549 lBF = `23.3155` Chr`15` : `78,766,629`	0.000	0.999	0.000
rs36146269 lBF = `23.2878` Chr`15` : `78,779,510`	0.000	0.999	0.000
rs965604 lBF = `23.272` Chr`15` : `78,789,223`	0.000	0.999	0.000
rs4887059 lBF = `23.2298` Chr`15` : `78,782,095`	0.000	0.999	0.000
rs12594711 lBF = `23.1532` Chr`15` : `78,793,921`	0.000	0.999	0.000
rs4299116 lBF = `23.1218` Chr`15` : `78,766,194`	0.000	0.999	0.000
rs11072791 lBF = `13.9577` Chr`15` : `78,997,076`	0.000	0.999	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	0.999	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	0.999	0.000
rs2554380 lBF = `0.093174` Chr`15` : `84,315,884`	0.000	0.999	0.000
rs8033165 lBF = `0.0130614` Chr`15` : `29,006,093`	0.000	0.999	0.000
rs12185079 lBF = `0.00552748` Chr`15` : `100,271,253`	0.000	0.999	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	0.999	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	0.999	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.000	0.999	0.000
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.000	0.999	0.000
rs2086452 lBF = `-0.112527` Chr`15` : `100,728,663`	0.000	0.999	0.000
rs12910910 lBF = `23.6547` Chr`15` : `78,767,850`	0.000	1.000	0.000
rs12916801 lBF = `23.5612` Chr`15` : `78,769,130`	0.000	1.000	0.000
rs8043227 lBF = `23.5612` Chr`15` : `78,768,871`	0.000	1.000	0.000
rs4362358 lBF = `23.1905` Chr`15` : `78,796,104`	0.000	1.000	0.000
rs12904234 lBF = `23.0302` Chr`15` : `78,779,384`	0.000	1.000	0.000
rs12903295 lBF = `23.0086` Chr`15` : `78,778,972`	0.000	1.000	0.000
rs16951275 lBF = `0.538361` Chr`15` : `68,077,168`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.000	1.000	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	1.000	0.000
rs10518765 lBF = `-0.0378225` Chr`15` : `54,680,632`	0.000	1.000	0.000
rs3815003 lBF = `-0.10576` Chr`15` : `91,312,823`	0.000	1.000	0.000
rs11637656 lBF = `23.7386` Chr`15` : `78,751,961`	0.000	1.000	0.000
rs8042260 lBF = `23.6429` Chr`15` : `78,774,374`	0.000	1.000	0.000
rs12899351 lBF = `23.481` Chr`15` : `78,792,398`	0.000	1.000	0.000
rs12593229 lBF = `23.234` Chr`15` : `78,765,290`	0.000	1.000	0.000
rs1964678 lBF = `20.5711` Chr`15` : `78,754,000`	0.000	1.000	0.000
rs7167085 lBF = `15.101` Chr`15` : `91,406,188`	0.000	1.000	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.000	1.000	0.000
rs8023822 lBF = `7.96514` Chr`15` : `78,945,040`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs7164727 lBF = `-0.0740418` Chr`15` : `73,093,991`	0.000	1.000	0.000
rs4502156 lBF = `-0.119286` Chr`15` : `62,383,155`	0.000	1.000	0.000
rs1062980 lBF = `21.6264` Chr`15` : `78,792,527`	0.000	1.000	0.000
rs13180 lBF = `20.7136` Chr`15` : `78,789,488`	0.000	1.000	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.000	1.000	0.000
rs281302 lBF = `-0.0933521` Chr`15` : `47,686,662`	0.000	1.000	0.000
rs11071657 lBF = `-0.0989686` Chr`15` : `62,433,962`	0.000	1.000	0.000
rs4887057 lBF = `21.4579` Chr`15` : `78,760,918`	0.000	1.000	0.000
rs8042238 lBF = `21.0848` Chr`15` : `78,774,271`	0.000	1.000	0.000
rs1996371 lBF = `10.4683` Chr`15` : `78,956,806`	0.000	1.000	0.000
rs8042680 lBF = `1.52245` Chr`15` : `91,521,337`	0.000	1.000	0.000
rs12900463 lBF = `0.519679` Chr`15` : `85,415,386`	0.000	1.000	0.000
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	1.000	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.000	1.000	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.000	1.000	0.000
rs12910627 lBF = `13.9518` Chr`15` : `78,994,933`	0.000	1.000	0.000
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6740

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.3553

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9735

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9640

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9620

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9390

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9215

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9201

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8975

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8310

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8155

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8138

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8128

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7921

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7898

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7835

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7692

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7482

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7413

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7405

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7372

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7255

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7238

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7225

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7213

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7212

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7159

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7059

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7015

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7014

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6808

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6566

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6518

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6429

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6384

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6240

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6141

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6025

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5989

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5959

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5904

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5903

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5846

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5796

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5789

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5728

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5709

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5310

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5304

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5262

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5233

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5186

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5070

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5026

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5003

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4987

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4973

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4819

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4809

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4697

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4689

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4676

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4577

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4456

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4143

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4070

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3854

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3851

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3840

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3827

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3774

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3543

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3495

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3429

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3389

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3351

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3271

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3260

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3234

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3211

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3066

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2986

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2960

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2894

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2843

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2826

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2703

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2677

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2564

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2562

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2435

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2314

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2169

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2094

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2089

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2058

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2040

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1901

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1874

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1823

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1724

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1650

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1622

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1504

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1443

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1386

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1357

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1326

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1277

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1268

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1218

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1012

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1004

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0995

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0989

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0941

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0927

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0798

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0787

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0777

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0766

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0753

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0748

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0743

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0741

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0669

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0646

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0619

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0534

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0511

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0501

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`)