TreeWAS – [O64.0] Obstructed labour due to incomplete rotation of foetal head

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
rs2744294 lBF = `25.957` Chr`6` : `25,296,606`	0.943	0.057	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.930	0.070	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.908	0.092	0.000
rs4523128 lBF = `67.5153` Chr`6` : `31,269,382`	0.897	0.103	0.000
rs2394967 lBF = `67.3079` Chr`6` : `31,269,129`	0.895	0.105	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.895	0.105	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.893	0.107	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.892	0.108	0.000
rs41291189 lBF = `5.43607` Chr`3` : `69,074,878`	0.855	0.145	0.000
rs9295984 lBF = `68.201` Chr`6` : `31,317,697`	0.853	0.147	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.853	0.147	0.000
rs17446324 lBF = `2.09498` Chr`7` : `83,157,804`	0.845	0.155	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.844	0.156	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.839	0.161	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.837	0.163	0.000
rs12492992 lBF = `6.38992` Chr`3` : `196,883,562`	0.836	0.164	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.831	0.169	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.831	0.169	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.829	0.171	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.820	0.180	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.818	0.182	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.818	0.182	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.810	0.190	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.802	0.198	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.802	0.198	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.795	0.205	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.789	0.211	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.788	0.212	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.788	0.212	0.000
rs12135062 lBF = `5.99481` Chr`1` : `3,103,312`	0.787	0.213	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.787	0.213	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.786	0.214	0.000
rs116234817 lBF = `75.2455` Chr`6` : `31,321,364`	0.783	0.217	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.781	0.219	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.780	0.220	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.776	0.224	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.775	0.225	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.775	0.225	0.000
rs79436609 lBF = `1.9732` Chr`3` : `140,417,446`	0.770	0.230	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.770	0.230	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.770	0.230	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.769	0.231	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.765	0.235	0.000
rs1910003 lBF = `1.03173` Chr`5` : `125,304,547`	0.763	0.237	0.000
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.762	0.238	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.761	0.239	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.760	0.240	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.759	0.241	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.759	0.241	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.759	0.241	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.754	0.246	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.754	0.246	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.754	0.246	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.753	0.246	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.752	0.248	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.751	0.249	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.751	0.249	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.748	0.251	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.747	0.253	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.746	0.254	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.742	0.257	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.742	0.258	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.740	0.260	0.000
rs6741751 lBF = `0.757169` Chr`2` : `234,827,661`	0.000	0.261	0.739
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.739	0.261	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.739	0.261	0.000
rs4863692 lBF = `1.39027` Chr`4` : `140,764,124`	0.734	0.266	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.733	0.267	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.729	0.271	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.728	0.272	0.000
rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.728	0.272	0.000
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.727	0.273	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.725	0.275	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.723	0.277	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.721	0.279	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.720	0.280	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.720	0.280	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.719	0.281	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.719	0.281	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.717	0.283	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.717	0.283	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.709	0.291	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.707	0.293	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.706	0.294	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.706	0.294	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.706	0.294	0.000
rs6463768 lBF = `1.85242` Chr`7` : `8,157,887`	0.706	0.294	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.706	0.294	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.704	0.295	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.704	0.296	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.703	0.297	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.702	0.298	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.701	0.299	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.701	0.299	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.700	0.300	0.000
rs113285159 lBF = `5.01196` Chr`18` : `40,971,984`	0.699	0.301	0.000
rs9284954 lBF = `1.46178` Chr`4` : `176,648,332`	0.698	0.302	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.698	0.302	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.698	0.302	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.698	0.302	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.697	0.303	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.697	0.303	0.000
rs11118844 lBF = `1.43161` Chr`1` : `221,910,288`	0.696	0.304	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.696	0.304	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.305	0.695
rs17207986 lBF = `30.3956` Chr`6` : `32,079,567`	0.695	0.305	0.000
rs111561475 lBF = `1.31769` Chr`11` : `21,956,958`	0.695	0.305	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.694	0.306	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.693	0.307	0.000
rs76860700 lBF = `35.4858` Chr`1` : `168,705,216`	0.692	0.308	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.690	0.310	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.689	0.311	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.689	0.311	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.686	0.314	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.685	0.315	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.684	0.315	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.683	0.317	0.000
rs4349859 lBF = `84.4382` Chr`6` : `31,365,787`	0.681	0.319	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.680	0.320	0.000
rs152784 lBF = `14.4221` Chr`5` : `132,772,431`	0.680	0.320	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.679	0.321	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.679	0.321	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.678	0.322	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.678	0.322	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.675	0.325	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.673	0.327	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.671	0.329	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.670	0.330	0.000
rs73002470 lBF = `12.3392` Chr`6` : `149,403,297`	0.669	0.330	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.669	0.331	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.669	0.331	0.000
rs7577262 lBF = `0.579554` Chr`2` : `234,818,869`	0.000	0.331	0.669
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.669	0.331	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.669	0.331	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.668	0.332	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.666	0.334	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.666	0.334	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.665	0.335	0.000
rs10185142 lBF = `0.485845` Chr`2` : `238,822,331`	0.664	0.336	0.000
rs9813389 lBF = `7.33298` Chr`3` : `131,837,290`	0.664	0.336	0.000
rs35292876 lBF = `4.20174` Chr`1` : `196,706,642`	0.661	0.339	0.000
rs76024631 lBF = `30.2245` Chr`6` : `32,088,988`	0.660	0.340	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.659	0.341	0.000
rs3997984 lBF = `89.8675` Chr`6` : `31,351,090`	0.658	0.341	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.657	0.343	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.655	0.345	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.655	0.345	0.000
rs45531831 lBF = `17.5762` Chr`6` : `31,938,120`	0.655	0.345	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.655	0.345	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.655	0.345	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.655	0.345	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.655	0.345	0.000
rs77913858 lBF = `29.141` Chr`6` : `32,066,815`	0.653	0.347	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.653	0.347	0.000
rs116488202 lBF = `90.3694` Chr`6` : `31,344,916`	0.652	0.348	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.652	0.348	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.651	0.349	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.651	0.349	0.000
rs17006842 lBF = `1.77826` Chr`3` : `70,259,702`	0.650	0.350	0.000
rs116666910 lBF = `89.7108` Chr`6` : `31,327,034`	0.649	0.351	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.649	0.351	0.000
rs116135464 lBF = `90.0255` Chr`6` : `31,370,984`	0.648	0.352	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.646	0.354	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.645	0.355	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.645	0.355	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.644	0.356	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.642	0.358	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.642	0.358	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.640	0.360	0.000
rs45451301 lBF = `16.4571` Chr`6` : `31,935,392`	0.638	0.362	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.637	0.362	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.637	0.363	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.635	0.365	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.635	0.365	0.000
rs115999992 lBF = `81.6793` Chr`6` : `31,348,987`	0.634	0.366	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.634	0.366	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.367	0.633
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.367	0.633
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.632	0.368	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.631	0.368	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.631	0.369	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.631	0.369	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.631	0.369	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.631	0.369	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.630	0.370	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.629	0.370	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.629	0.371	0.000
rs114291795 lBF = `78.0497` Chr`6` : `31,377,640`	0.627	0.373	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.626	0.374	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.626	0.374	0.000
rs17200414 lBF = `82.2581` Chr`6` : `31,417,136`	0.626	0.374	0.000
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.624	0.376	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.623	0.377	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.622	0.378	0.000
rs17111530 lBF = `0.778096` Chr`14` : `81,598,912`	0.622	0.378	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.622	0.378	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.622	0.378	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.622	0.378	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.621	0.379	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.620	0.380	0.000
rs116363196 lBF = `73.8343` Chr`6` : `31,405,472`	0.619	0.381	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.619	0.381	0.000
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rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.538	0.462	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.538	0.462	0.000
rs12188351 lBF = `0.905107` Chr`5` : `168,386,089`	0.000	0.463	0.537
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.537	0.463	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.537	0.463	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.536	0.464	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.536	0.464	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.536	0.464	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.536	0.464	0.000
rs7634487 lBF = `11.5118` Chr`3` : `21,580,556`	0.536	0.464	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.536	0.464	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.536	0.464	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.535	0.464	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.535	0.464	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.535	0.465	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.534	0.466	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.534	0.466	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.533	0.467	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.533	0.467	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.533	0.467	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.533	0.467	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.532	0.468	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.532	0.468	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.531	0.468	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.531	0.469	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.531	0.469	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.531	0.469	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.529	0.470	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.529	0.471	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.529	0.471	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.529	0.471	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.529	0.471	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.529	0.471	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.528	0.472	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.528	0.472	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.527	0.473	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.527	0.473	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.526	0.474	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.526	0.474	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.526	0.474	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.526	0.474	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.526	0.474	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.525	0.475	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.525	0.475	0.000
rs117377944 lBF = `9.01444` Chr`6` : `113,901,414`	0.525	0.475	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.524	0.475	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.524	0.476	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.524	0.476	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.476	0.524
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.524	0.476	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.523	0.477	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.523	0.477	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.523	0.477	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.522	0.478	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.522	0.478	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.521	0.479	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.521	0.479	0.000
rs17004598 lBF = `2.6091` Chr`21` : `45,078,556`	0.521	0.479	0.000
rs45533135 lBF = `73.6781` Chr`6` : `31,430,951`	0.521	0.479	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.521	0.479	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.521	0.479	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.520	0.480	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.520	0.480	0.000
rs16998084 lBF = `5.36261` Chr`21` : `42,471,628`	0.520	0.480	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.520	0.480	0.000
rs11601906 lBF = `0.741712` Chr`11` : `131,325,246`	0.520	0.480	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.520	0.480	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.520	0.480	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.519	0.481	0.000
rs11155133 lBF = `6.4949` Chr`6` : `141,169,825`	0.519	0.481	0.000
rs7726414 lBF = `7.38602` Chr`5` : `133,431,834`	0.519	0.481	0.000
rs679830 lBF = `0.470426` Chr`7` : `54,674,873`	0.519	0.481	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.519	0.481	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.519	0.481	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.518	0.482	0.000
rs72660931 lBF = `10.5803` Chr`1` : `25,752,282`	0.518	0.482	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.517	0.483	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.517	0.483	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.517	0.483	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.516	0.484	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.516	0.484	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.516	0.484	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.516	0.484	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.515	0.485	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.515	0.485	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.515	0.485	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.515	0.485	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.514	0.485	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	0.485	0.514
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.514	0.486	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.514	0.486	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.514	0.486	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.514	0.486	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.514	0.486	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.513	0.486	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.513	0.486	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

0.6583

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5238

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9943

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9939

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9889

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9799

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9656

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9586

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9440

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9419

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9411

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9357

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9355

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9263

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9250

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9220

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9162

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9151

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9078

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9042

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8997

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8967

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8965

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8962

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8953

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8883

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8844

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8769

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8580

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8444

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8440

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8415

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8305

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8276

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8255

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8173

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8137

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8045

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8011

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7959

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7929

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7906

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7864

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7717

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7578

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7546

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7511

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7447

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7401

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7278

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7270

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7267

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7160

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7071

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7067

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7019

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7008

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6881

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6859

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6852

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6760

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6754

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6703

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6649

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6243

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6228

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6102

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6066

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5994

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5973

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5957

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5941

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5937

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5895

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5848

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5845

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5779

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5711

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5631

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5592

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5427

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5392

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5209

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5055

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5022

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4995

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4864

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4851

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4848

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4843

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4811

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.4802

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4800

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4799

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4795

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4579

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4461

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4287

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4168

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4149

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4139

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3932

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3931

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3859

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3738

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3582

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3488

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3286

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3281

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3164

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3064

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2989

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2886

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2837

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2695

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2545

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2411

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2373

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2357

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2234

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2113

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2018

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2013

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1980

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1789

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1728

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1723

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1577

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1574

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1515

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1509

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1492

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1422

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1400

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1345

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1321

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1202

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1192

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1181

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0981

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0974

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0853

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0809

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0790

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0786

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0764

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0712

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0672

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0651

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0547

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0511

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0504

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`)