TreeWAS – [O68.2] Labour and delivery complicated by foetal heart rate anomaly with meconium in amniotic fluid

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
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.769	0.231	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.697	0.303	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.681	0.319	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.652	0.348	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.641	0.359	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.609	0.391	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.593	0.407	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.549	0.451	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.540	0.460	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.532	0.468	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.516	0.484	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.505	0.495	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.501	0.499	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.493	0.507	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.490	0.510	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.486	0.514	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.485	0.515	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.478	0.522	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.469	0.531	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.469	0.531	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.458	0.542	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.448	0.552	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.439	0.560	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.416	0.584	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.403	0.597	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.395	0.605	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.391	0.609	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.388	0.611	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.363	0.637	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.361	0.639	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.351	0.649	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.338	0.662	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.318	0.682	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.312	0.688	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.299	0.701	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.297	0.703	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.295	0.705	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.287	0.712	0.001
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.287	0.713	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.283	0.717	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.283	0.717	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.282	0.718	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.281	0.719	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.276	0.724	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.263	0.737	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.244	0.755	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.242	0.758	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.231	0.769	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.223	0.777	0.001
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.221	0.779	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.207	0.793	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.207	0.793	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.204	0.796	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.203	0.797	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.198	0.802	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.190	0.809	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.190	0.810	0.001
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.185	0.814	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.184	0.815	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.184	0.815	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.179	0.820	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.177	0.822	0.002
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.169	0.831	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.165	0.835	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.164	0.836	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.158	0.841	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.155	0.845	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.151	0.849	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.135	0.865	0.001
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.125	0.875	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.122	0.878	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.113	0.887	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.113	0.887	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.103	0.897	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.103	0.897	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.100	0.900	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.097	0.903	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.096	0.904	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.094	0.905	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.092	0.908	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.085	0.915	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.077	0.922	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.077	0.923	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.068	0.932	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.067	0.932	0.001
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.064	0.936	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.062	0.938	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.058	0.941	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.059	0.941	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.056	0.944	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.049	0.951	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.047	0.953	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.046	0.954	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.046	0.954	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.041	0.959	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.039	0.961	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.039	0.961	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.037	0.962	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.037	0.963	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.035	0.964	0.001
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.035	0.965	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.035	0.965	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.033	0.966	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	0.968	0.032
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.030	0.969	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.030	0.970	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.029	0.971	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	0.972	0.028
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.027	0.973	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.027	0.973	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.027	0.973	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.026	0.973	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.025	0.975	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.025	0.975	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.024	0.976	0.001
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.023	0.976	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.977	0.023
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.022	0.977	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.020	0.980	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.019	0.980	0.001
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.000	0.982	0.018
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.017	0.983	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	0.985	0.015
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	0.985	0.015
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.015	0.985	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.014	0.985	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.013	0.987	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.011	0.989	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	0.989	0.011
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.011	0.989	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.007	0.990	0.003
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.010	0.990	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.010	0.990	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.009	0.991	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.009	0.991	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.009	0.991	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.991	0.008
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	0.991	0.009
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.992	0.000
rs950169 lBF = `-0.0486341` Chr`15` : `84,706,461`	0.000	0.992	0.008
rs748404 lBF = `0.0377332` Chr`15` : `43,559,231`	0.008	0.992	0.000
rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.007	0.993	0.000
rs12908161 lBF = `0.0348923` Chr`15` : `85,207,825`	0.000	0.993	0.007
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.007	0.993	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.007	0.993	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.006	0.994	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.006	0.994	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.006	0.994	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.004	0.994	0.002
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.006	0.994	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.006	0.994	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.005	0.995	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.005	0.995	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.005	0.995	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
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
rs4906844 lBF = `-0.0529965` Chr`15` : `26,277,545`	0.000	0.995	0.005
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.000	0.995	0.005
rs67175876 lBF = `9.17872` Chr`15` : `78,928,399`	0.005	0.995	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.004	0.996	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.004	0.996	0.000
rs3813567 lBF = `9.05806` Chr`15` : `78,934,551`	0.004	0.996	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs2351491 lBF = `0.0202389` Chr`15` : `89,398,105`	0.003	0.997	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.003	0.997	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.003	0.997	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.003	0.997	0.000
rs17271305 lBF = `-0.109195` Chr`15` : `62,332,980`	0.003	0.997	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.003	0.997	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	0.997	0.003
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.997	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.002	0.997	0.001
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.003	0.997	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.003	0.997	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.003	0.997	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	0.997	0.003
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.002	0.997	0.000
rs12910412 lBF = `-0.118647` Chr`15` : `94,707,073`	0.003	0.997	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	0.998	0.002
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.001	0.998	0.001
rs2929278 lBF = `-0.0360307` Chr`15` : `44,250,313`	0.002	0.998	0.000
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	0.998	0.002
rs578776 lBF = `12.2576` Chr`15` : `78,888,400`	0.000	0.998	0.002
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	0.998	0.002
rs17302400 lBF = `-0.0499626` Chr`15` : `59,824,987`	0.002	0.998	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	0.998	0.002
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.000	0.998	0.002
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.002	0.998	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	0.998	0.002
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	0.998	0.002
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.002	0.998	0.000
rs1316971 lBF = `7.97472` Chr`15` : `78,930,510`	0.000	0.998	0.002
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	0.002	0.998	0.000
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rs7184046 lBF = `0.541406` Chr`15` : `75,866,150`	0.001	0.999	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	0.999	0.001
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	0.999	0.001
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.001	0.999	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	0.999	0.001
rs2554380 lBF = `0.093174` Chr`15` : `84,315,884`	0.000	0.999	0.001
rs607541 lBF = `0.0507299` Chr`15` : `45,934,869`	0.001	0.999	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	0.999	0.001
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.001	0.999	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	0.999	0.001
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	0.999	0.001
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	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
rs2472299 lBF = `3.80722` Chr`15` : `75,033,400`	0.001	0.999	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.999	0.000
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.000	0.999	0.001
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.001	0.999	0.000
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
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	0.999	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	0.999	0.001
rs1568657 lBF = `-0.0477838` Chr`15` : `83,726,179`	0.000	0.999	0.001
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.001	0.999	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.001	0.999	0.000
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.000	0.999	0.001
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.000	0.999	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	0.999	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	0.999	0.000
rs7162542 lBF = `-0.0291393` Chr`15` : `84,514,290`	0.000	0.999	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.000	0.999	0.001
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.001	0.999	0.000
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	0.999	0.001
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	0.999	0.001
rs7169584 lBF = `19.7428` Chr`15` : `78,822,660`	0.000	0.999	0.001
rs2036534 lBF = `19.5552` Chr`15` : `78,826,948`	0.000	0.999	0.001
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	0.999	0.001
rs2120019 lBF = `0.0398977` Chr`15` : `75,334,184`	0.001	0.999	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.001	0.999	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	0.999	0.000
rs4887084 lBF = `12.8944` Chr`15` : `79,025,593`	0.001	0.999	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	0.999	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.001	0.999	0.000
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	0.999	0.001
rs11072790 lBF = `13.6677` Chr`15` : `78,992,025`	0.001	0.999	0.000
rs4887083 lBF = `12.6659` Chr`15` : `79,025,577`	0.001	0.999	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	0.999	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.001	0.999	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	0.999	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	0.999	0.000
rs12899618 lBF = `-0.03096` Chr`15` : `71,645,120`	0.000	0.999	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.000	0.999	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.000	0.999	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.000	1.000	0.000
rs12901913 lBF = `15.3462` Chr`15` : `78,981,348`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs8034595 lBF = `-0.0472016` Chr`15` : `96,719,229`	0.000	1.000	0.000
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.000	1.000	0.000
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.000	1.000	0.000
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.000	1.000	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.000	1.000	0.000
rs2241423 lBF = `0.595588` Chr`15` : `68,086,838`	0.000	1.000	0.000
rs16951275 lBF = `0.538361` Chr`15` : `68,077,168`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs1971791 lBF = `-0.0755014` Chr`15` : `70,576,138`	0.000	1.000	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.000	1.000	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.000	1.000	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.000	1.000	0.000
rs8027972 lBF = `12.657` Chr`15` : `79,022,615`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs2676071 lBF = `-0.0473081` Chr`15` : `33,597,076`	0.000	1.000	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.000	1.000	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.000	1.000	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.000	1.000	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.000	1.000	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.000	1.000	0.000
rs3971860 lBF = `12.95` Chr`15` : `79,026,278`	0.000	1.000	0.000
rs3971859 lBF = `12.95` Chr`15` : `79,026,277`	0.000	1.000	0.000
rs2869561 lBF = `12.7931` Chr`15` : `79,025,516`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.000	1.000	0.000
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.000	1.000	0.000
rs2553218 lBF = `-0.0759874` Chr`15` : `54,868,668`	0.000	1.000	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.000	1.000	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.000	1.000	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.000	1.000	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.000	1.000	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.9275

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6810

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0705

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9621

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9543

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9292

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9154

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8581

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8367

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8098

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8072

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7824

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7722

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7644

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7322

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6930

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6414

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5870

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5675

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5490

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5034

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5014

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4954

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4789

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4609

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4541

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4492

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4459

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4265

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4095

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3402

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3153

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2982

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2966

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2752

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2641

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2623

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2403

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2308

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2199

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2188

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2076

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1996

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1996

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1836

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1813

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1603

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1486

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1386

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1363

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1357

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1346

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1177

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1012

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0977

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0938

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0907

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0787

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0749

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0716

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0684

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0668

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0611

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`)