TreeWAS – [O47.0] False labour before 37 completed weeks of gestation

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
rs3850579 lBF = `2.85178` Chr`5` : `141,864,373`	0.000	0.038	0.962
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.951	0.049	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.931	0.069	0.000
rs7605378 lBF = `2.57393` Chr`2` : `200,676,926`	0.924	0.076	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.881	0.119	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.869	0.131	0.000
rs12135062 lBF = `5.99481` Chr`1` : `3,103,312`	0.863	0.137	0.000
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.860	0.140	0.000
rs11952583 lBF = `2.33169` Chr`5` : `73,309,105`	0.827	0.173	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.823	0.177	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.801	0.199	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.800	0.200	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.794	0.206	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.791	0.209	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.788	0.212	0.000
rs152784 lBF = `14.4221` Chr`5` : `132,772,431`	0.788	0.212	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.787	0.213	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.786	0.214	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.783	0.217	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.777	0.223	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.770	0.230	0.000
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.768	0.232	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.767	0.233	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.763	0.236	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.762	0.238	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.760	0.240	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.754	0.246	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.753	0.247	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.753	0.247	0.000
rs6435999 lBF = `1.74683` Chr`2` : `218,523,162`	0.749	0.251	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.748	0.252	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.746	0.254	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.740	0.260	0.000
rs73050577 lBF = `29.1953` Chr`3` : `23,853,409`	0.740	0.260	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.739	0.261	0.000
rs1992284 lBF = `5.12033` Chr`2` : `43,065,555`	0.738	0.262	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.736	0.264	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.735	0.265	0.000
rs548726 lBF = `0.488313` Chr`1` : `5,913,621`	0.000	0.265	0.735
rs17790731 lBF = `6.01635` Chr`5` : `94,983,529`	0.734	0.266	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.730	0.270	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.729	0.271	0.000
rs6787231 lBF = `1.10831` Chr`3` : `20,957,810`	0.000	0.271	0.729
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.729	0.271	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.728	0.272	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.727	0.272	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.726	0.274	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.723	0.277	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.723	0.277	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.722	0.278	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.716	0.284	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.714	0.286	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.714	0.286	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.712	0.288	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.710	0.290	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.708	0.292	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.706	0.294	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.705	0.295	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.705	0.295	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.298	0.702
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.701	0.299	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.699	0.301	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.699	0.301	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.699	0.301	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.697	0.303	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.696	0.304	0.000
rs111561475 lBF = `1.31769` Chr`11` : `21,956,958`	0.696	0.304	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.696	0.304	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.695	0.305	0.000
rs9467626 lBF = `101.73` Chr`6` : `25,873,746`	0.695	0.305	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.694	0.306	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.693	0.307	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.692	0.308	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.692	0.308	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.692	0.308	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.691	0.309	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.691	0.309	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.690	0.310	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.690	0.310	0.000
rs115247800 lBF = `26.4799` Chr`6` : `31,606,813`	0.690	0.310	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.690	0.310	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.689	0.311	0.000
rs17564315 lBF = `2.57146` Chr`2` : `19,958,496`	0.000	0.311	0.689
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.688	0.312	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.684	0.316	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.684	0.316	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.684	0.316	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.682	0.318	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.681	0.319	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.680	0.320	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.680	0.320	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.677	0.323	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.677	0.323	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.676	0.324	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.674	0.326	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.672	0.328	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.671	0.328	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.671	0.329	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.670	0.330	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.670	0.330	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.669	0.331	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.669	0.331	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.668	0.332	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.668	0.332	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.668	0.332	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.667	0.333	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.667	0.333	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.666	0.334	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.666	0.334	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.665	0.334	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.665	0.335	0.000
rs17111530 lBF = `0.778096` Chr`14` : `81,598,912`	0.665	0.335	0.000
rs9374842 lBF = `7.02448` Chr`6` : `120,185,665`	0.000	0.336	0.664
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.664	0.336	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.664	0.336	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.664	0.336	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.663	0.337	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.663	0.337	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.662	0.338	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.661	0.339	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.661	0.339	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.660	0.340	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.659	0.341	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.659	0.341	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.658	0.342	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.658	0.342	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.658	0.342	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.658	0.342	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.656	0.344	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.656	0.344	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.655	0.344	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.656	0.344	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.345	0.655
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.654	0.345	0.000
rs17207986 lBF = `30.3956` Chr`6` : `32,079,567`	0.654	0.346	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.654	0.346	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.654	0.346	0.000
rs13137105 lBF = `0.796016` Chr`4` : `76,416,387`	0.000	0.347	0.653
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.653	0.347	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.653	0.347	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.652	0.348	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.650	0.350	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.650	0.350	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.649	0.351	0.000
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.649	0.351	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.649	0.351	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.649	0.351	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.648	0.352	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.648	0.352	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.647	0.353	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.646	0.354	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.646	0.354	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.644	0.356	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.644	0.356	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.644	0.356	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.643	0.357	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.643	0.357	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.643	0.357	0.000
rs12492992 lBF = `6.38992` Chr`3` : `196,883,562`	0.642	0.358	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.640	0.360	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.640	0.360	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.639	0.361	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.639	0.361	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.638	0.362	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.637	0.363	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.636	0.364	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.635	0.365	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.635	0.365	0.000
rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.634	0.366	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.634	0.366	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.634	0.366	0.000
rs77913858 lBF = `29.141` Chr`6` : `32,066,815`	0.633	0.367	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.633	0.367	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.633	0.367	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.633	0.367	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.632	0.368	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.632	0.368	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.631	0.369	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.630	0.370	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.629	0.371	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.629	0.371	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.628	0.371	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.372	0.628
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.627	0.373	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.627	0.373	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.625	0.375	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.625	0.375	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.624	0.376	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.624	0.376	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.624	0.376	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.623	0.377	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.623	0.377	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.623	0.377	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.623	0.377	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.622	0.378	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.622	0.378	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.621	0.378	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.621	0.379	0.000
rs76024631 lBF = `30.2245` Chr`6` : `32,088,988`	0.621	0.379	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.620	0.380	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.619	0.381	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.619	0.381	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.619	0.381	0.000
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rs140009341 lBF = `2.92393` Chr`2` : `137,190,884`	0.559	0.441	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.559	0.441	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.558	0.442	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.558	0.442	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.558	0.442	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.557	0.442	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.557	0.442	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.557	0.443	0.000
rs114355928 lBF = `63.2185` Chr`6` : `32,265,881`	0.557	0.443	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.556	0.444	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.556	0.444	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.556	0.444	0.000
rs7726414 lBF = `7.38602` Chr`5` : `133,431,834`	0.556	0.444	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.556	0.444	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.556	0.444	0.000
rs41291189 lBF = `5.43607` Chr`3` : `69,074,878`	0.555	0.444	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.555	0.445	0.000
rs6911848 lBF = `125.052` Chr`6` : `33,075,259`	0.555	0.445	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.554	0.446	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.554	0.446	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.554	0.446	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.553	0.447	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.553	0.447	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.553	0.447	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.553	0.447	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.553	0.447	0.000
rs6924545 lBF = `125.123` Chr`6` : `33,077,607`	0.553	0.447	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.552	0.448	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.552	0.448	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.551	0.449	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.551	0.449	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.551	0.449	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.551	0.449	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.551	0.449	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.551	0.449	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.550	0.449	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.550	0.450	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.550	0.450	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.549	0.450	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.549	0.450	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.000	0.451	0.549
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.549	0.451	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.548	0.451	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.548	0.452	0.000
rs45531831 lBF = `17.5762` Chr`6` : `31,938,120`	0.548	0.452	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.548	0.452	0.000
rs10494067 lBF = `0.463963` Chr`1` : `107,830,858`	0.548	0.452	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.547	0.453	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.547	0.453	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.547	0.453	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.546	0.453	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.546	0.453	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.546	0.454	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.546	0.454	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.546	0.454	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.545	0.455	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.545	0.455	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.544	0.456	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.543	0.457	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.543	0.457	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.542	0.458	0.000
rs7757496 lBF = `23.0627` Chr`6` : `31,780,235`	0.542	0.458	0.000
rs1081575 lBF = `12.1523` Chr`3` : `101,624,854`	0.541	0.459	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.540	0.460	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.540	0.460	0.000
rs11965763 lBF = `126.728` Chr`6` : `33,076,682`	0.540	0.460	0.000
rs6683071 lBF = `15.4088` Chr`1` : `222,923,351`	0.540	0.460	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.540	0.460	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.540	0.460	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.540	0.460	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.539	0.461	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	0.461	0.539
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.539	0.461	0.000
rs8192585 lBF = `18.7691` Chr`6` : `32,188,823`	0.538	0.462	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.538	0.462	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.538	0.462	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.537	0.462	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.537	0.463	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.537	0.463	0.000
rs10484433 lBF = `93.7652` Chr`6` : `26,030,492`	0.537	0.463	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.537	0.463	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.537	0.463	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.536	0.463	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.536	0.464	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.536	0.464	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.535	0.465	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.535	0.465	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.534	0.466	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.534	0.466	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.534	0.466	0.000
rs9666585 lBF = `10.3192` Chr`11` : `9,235,473`	0.534	0.466	0.000
rs16891235 lBF = `94.1744` Chr`6` : `26,017,542`	0.534	0.466	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.533	0.467	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.533	0.467	0.000
rs12039519 lBF = `3.41232` Chr`1` : `161,953,400`	0.533	0.467	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.533	0.467	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

0.4794

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2508

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9990

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9823

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9772

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9757

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9632

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9599

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9586

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9567

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9520

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9436

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9307

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9290

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9160

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9138

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9021

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8987

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8773

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8748

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8745

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8602

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8495

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8465

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8434

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8356

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8351

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8295

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8171

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8134

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8121

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8113

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7950

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7935

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7784

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7729

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7698

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7690

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7675

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7659

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7568

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7256

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7253

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.7162

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7157

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7121

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6896

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6867

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6752

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6717

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6591

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6377

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6357

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6278

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6255

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6195

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6147

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6042

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6005

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5801

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5677

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5673

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5494

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5429

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5428

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5353

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5265

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5216

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5162

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5118

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5104

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4983

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4941

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4895

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4895

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4891

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4818

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4732

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4621

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4563

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4555

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4498

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4495

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4490

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4240

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4236

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4185

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4182

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4097

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4025

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3970

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3958

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3861

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3710

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3698

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3655

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3635

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3537

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3345

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3337

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3230

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3188

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3113

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2993

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2819

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2725

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2579

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2540

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2489

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2446

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2382

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2374

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2312

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2287

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2248

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2172

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2155

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1911

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1750

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1685

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1585

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1574

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1555

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1516

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1401

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1386

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1285

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1237

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1226

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1116

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1115

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1106

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1102

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1078

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1030

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1029

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0996

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0991

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0899

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0883

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0840

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0794

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0704

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0693

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0681

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0670

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0647

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0639

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0619

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0553

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0551

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0535

Cluster X0185

log Bayes Factor = 84.7127

contains 6 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`)