TreeWAS – [O99.8] Other specified diseases and conditions complicating pregnancy, childbirth and the puerperium

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
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.867	0.133	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.715	0.285	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.699	0.301	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.676	0.324	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.666	0.334	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.629	0.371	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.626	0.374	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.563	0.437	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.539	0.461	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.492	0.508	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.481	0.519	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.471	0.529	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.465	0.535	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.460	0.540	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.426	0.574	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.420	0.580	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.419	0.580	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.418	0.582	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.407	0.593	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.392	0.608	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.380	0.620	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.377	0.623	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.373	0.627	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.368	0.632	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.366	0.634	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.357	0.642	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.346	0.653	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.346	0.654	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.341	0.659	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.340	0.660	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.339	0.660	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.338	0.662	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.332	0.668	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.329	0.671	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.326	0.673	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.326	0.674	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.312	0.688	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.294	0.706	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.280	0.720	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.275	0.725	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.274	0.726	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.274	0.726	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.269	0.731	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.255	0.745	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.250	0.750	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.244	0.755	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.242	0.757	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.240	0.760	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.231	0.769	0.001
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.226	0.773	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.216	0.784	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.207	0.793	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.205	0.795	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.202	0.798	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.198	0.802	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.196	0.804	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.196	0.804	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.194	0.805	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.192	0.807	0.001
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.192	0.808	0.001
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.189	0.810	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.188	0.812	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.185	0.814	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.184	0.816	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.182	0.817	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.172	0.828	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.172	0.828	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.168	0.831	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.161	0.839	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.160	0.840	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.846	0.154
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.153	0.847	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.149	0.850	0.001
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.149	0.850	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.149	0.850	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.146	0.854	0.001
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.143	0.857	0.001
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.142	0.858	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.140	0.860	0.001
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.137	0.863	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.133	0.866	0.001
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.129	0.871	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.125	0.875	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.116	0.884	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.116	0.884	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.115	0.885	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.113	0.886	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.109	0.891	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.109	0.891	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.107	0.893	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.104	0.895	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.090	0.910	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.088	0.912	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.083	0.917	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.077	0.923	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.077	0.923	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.074	0.925	0.001
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.071	0.928	0.001
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.072	0.928	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.070	0.930	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.068	0.932	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.065	0.934	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.066	0.934	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.064	0.936	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.060	0.939	0.001
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.055	0.945	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.050	0.950	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.049	0.951	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.045	0.954	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.045	0.954	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.045	0.954	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.044	0.956	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.043	0.956	0.001
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.043	0.957	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.042	0.958	0.000
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	0.958	0.042
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.042	0.958	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.041	0.959	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.041	0.959	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.036	0.964	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.034	0.966	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.033	0.967	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.032	0.967	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.031	0.969	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.030	0.970	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.029	0.970	0.001
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.028	0.972	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.027	0.972	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.026	0.974	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.025	0.974	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.025	0.975	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.024	0.976	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.010	0.978	0.013
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.022	0.978	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.021	0.978	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.021	0.979	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.018	0.982	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.015	0.984	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.014	0.985	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.014	0.986	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.011	0.987	0.002
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	0.987	0.013
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.012	0.988	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.012	0.988	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.011	0.989	0.001
rs12907914 lBF = `-0.0185925` Chr`15` : `39,315,358`	0.000	0.990	0.010
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.009	0.991	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.009	0.991	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	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	0.991	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.008	0.992	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.008	0.992	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.008	0.992	0.000
rs748404 lBF = `0.0377332` Chr`15` : `43,559,231`	0.008	0.992	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.007	0.993	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.007	0.993	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.007	0.993	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.007	0.993	0.000
rs1471225 lBF = `-0.0492171` Chr`15` : `29,888,396`	0.000	0.993	0.007
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.007	0.993	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.007	0.993	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.006	0.994	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.006	0.994	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.995	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.005	0.995	0.000
rs7179228 lBF = `0.0380638` Chr`15` : `68,622,347`	0.005	0.995	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.004	0.995	0.001
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.005	0.995	0.000
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.000	0.996	0.004
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.004	0.996	0.000
rs35343117 lBF = `2.22504` Chr`15` : `86,079,115`	0.004	0.996	0.000
rs7166783 lBF = `5.49465` Chr`15` : `84,161,111`	0.000	0.996	0.004
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.004	0.996	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.004	0.996	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	0.996	0.004
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.004	0.996	0.000
rs2624265 lBF = `-0.0584597` Chr`15` : `39,148,649`	0.004	0.996	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	0.996	0.004
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs11637445 lBF = `-0.106417` Chr`15` : `67,991,606`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.997	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.003	0.997	0.000
rs7163013 lBF = `-0.0307682` Chr`15` : `78,698,759`	0.000	0.997	0.003
rs2289583 lBF = `-0.0314634` Chr`15` : `75,311,036`	0.000	0.997	0.003
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.000	0.997	0.003
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.002	0.997	0.001
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.002	0.997	0.000
rs3825932 lBF = `-0.0834112` Chr`15` : `79,235,446`	0.003	0.997	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	0.998	0.002
rs285757 lBF = `-0.0915449` Chr`15` : `93,179,175`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs188133 lBF = `0.0295211` Chr`15` : `47,702,442`	0.000	0.998	0.002
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.000	0.998	0.002
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.000	0.998	0.002
rs420017 lBF = `-0.0779226` Chr`15` : `89,617,081`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.002	0.998	0.000
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rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	0.999	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.001	0.999	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.001	0.999	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.001	0.999	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.001	0.999	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	0.999	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.001	0.999	0.000
rs11072790 lBF = `13.6677` Chr`15` : `78,992,025`	0.001	0.999	0.000
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.001	0.999	0.000
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.001	0.999	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	0.999	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	0.999	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	0.999	0.000
rs2777491 lBF = `-0.053517` Chr`15` : `41,735,710`	0.000	0.999	0.001
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.001	0.999	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.001	0.999	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.001	0.999	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.001	0.999	0.000
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.001	0.999	0.000
rs1996371 lBF = `10.4683` Chr`15` : `78,956,806`	0.001	0.999	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.001	0.999	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	0.999	0.001
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.001	0.999	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.001	0.999	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.001	0.999	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.001	0.999	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.001	0.999	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.001	0.999	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.001	0.999	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.001	0.999	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.001	0.999	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.001	0.999	0.000
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.001	0.999	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	0.999	0.000
rs2118405 lBF = `-0.00674688` Chr`15` : `96,975,868`	0.001	0.999	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	0.999	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.001	0.999	0.000
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.000	0.999	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	0.999	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.001	0.999	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.001	0.999	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.001	0.999	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.001	0.999	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.001	0.999	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.001	0.999	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.001	0.999	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.001	0.999	0.000
rs6495314 lBF = `11.5014` Chr`15` : `78,960,529`	0.000	0.999	0.000
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.000	0.999	0.000
rs12900463 lBF = `0.519679` Chr`15` : `85,415,386`	0.000	0.999	0.000
rs4965272 lBF = `0.0640466` Chr`15` : `100,584,739`	0.000	0.999	0.001
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	0.999	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.999	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	0.999	0.000
rs340029 lBF = `-0.0381864` Chr`15` : `60,894,965`	0.000	0.999	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.000	1.000	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.000	1.000	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.000	1.000	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.000	1.000	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.000	1.000	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.000	1.000	0.000
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.000	1.000	0.000
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	0.000	1.000	0.000
rs2120019 lBF = `0.0398977` Chr`15` : `75,334,184`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs3743266 lBF = `0.0106142` Chr`15` : `60,781,513`	0.000	1.000	0.000
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.000	1.000	0.000
rs8034802 lBF = `-0.103335` Chr`15` : `58,724,792`	0.000	1.000	0.000
rs12441664 lBF = `1.2249` Chr`15` : `97,714,534`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs12595305 lBF = `-0.0891017` Chr`15` : `89,899,624`	0.000	1.000	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.000	1.000	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.000	1.000	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs1394125 lBF = `0.0167156` Chr`15` : `76,158,983`	0.000	1.000	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.000	1.000	0.000
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.000	1.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	1.000	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.000	1.000	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.000	1.000	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	1.000	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.000	1.000	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.000	1.000	0.000
rs8042849 lBF = `34.3643` Chr`15` : `78,817,929`	0.000	1.000	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.000	1.000	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.000	1.000	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	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

0.9872

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3751

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9993

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9979

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9938

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.9933

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9900

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9853

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9785

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9785

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9626

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9609

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9607

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9591

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9562

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9347

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9198

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8625

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8553

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8533

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8474

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8170

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7516

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7148

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.7098

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7054

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6664

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6647

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6363

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5971

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5377

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5256

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5226

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4864

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4783

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4572

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4358

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4210

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4016

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3910

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3819

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3676

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3470

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3344

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3267

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3261

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3217

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3214

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3167

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3148

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3043

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3030

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.2983

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2803

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2743

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2715

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2650

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2640

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2631

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2587

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2489

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2434

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2387

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2338

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2236

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2076

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2026

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1948

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1916

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1847

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1748

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1725

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1673

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1641

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1573

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1570

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1528

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1463

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1416

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1397

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1349

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1301

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1216

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1175

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1166

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1134

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1044

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1036

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1036

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0993

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0988

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0968

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0946

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0933

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0932

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0848

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0847

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0838

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0749

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0737

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0726

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0665

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0663

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0649

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0647

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0616

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0604

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0594

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0586

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0566

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0538

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0502

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`)