TreeWAS – [O30.0] Twin pregnancy

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
rs7605378 lBF = `2.57393` Chr`2` : `200,676,926`	0.963	0.037	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.929	0.071	0.000
rs9374842 lBF = `7.02448` Chr`6` : `120,185,665`	0.000	0.113	0.887
rs3172494 lBF = `6.58272` Chr`3` : `48,731,487`	0.879	0.121	0.000
rs1992284 lBF = `5.12033` Chr`2` : `43,065,555`	0.877	0.123	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.868	0.132	0.000
rs1329530 lBF = `7.19577` Chr`6` : `120,182,610`	0.863	0.137	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.860	0.140	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.850	0.150	0.000
rs9368666 lBF = `20.5229` Chr`6` : `31,229,644`	0.845	0.155	0.000
rs2053302 lBF = `1.25399` Chr`1` : `190,841,673`	0.842	0.158	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.841	0.159	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.840	0.160	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.839	0.161	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.833	0.167	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.820	0.180	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.819	0.181	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.819	0.181	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.816	0.183	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.815	0.185	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.813	0.187	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.811	0.189	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.810	0.190	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.805	0.195	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.801	0.199	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.799	0.201	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.799	0.201	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.798	0.202	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.793	0.207	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.792	0.208	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.789	0.211	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.785	0.214	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.781	0.219	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.780	0.220	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.779	0.221	0.000
rs9295984 lBF = `68.201` Chr`6` : `31,317,697`	0.776	0.224	0.000
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.226	0.774
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.771	0.229	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.770	0.230	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	0.234	0.766
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.765	0.235	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.764	0.236	0.000
rs2894196 lBF = `17.3657` Chr`6` : `31,230,111`	0.762	0.238	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.761	0.239	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.759	0.241	0.000
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.758	0.242	0.000
rs2910756 lBF = `1.50337` Chr`5` : `37,860,074`	0.758	0.242	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.757	0.243	0.000
rs12085650 lBF = `5.18612` Chr`1` : `31,490,096`	0.000	0.244	0.756
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.754	0.246	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.754	0.246	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.753	0.247	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.753	0.247	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.750	0.250	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.747	0.252	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.747	0.253	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.746	0.254	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.745	0.255	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.742	0.258	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.741	0.259	0.000
rs11952583 lBF = `2.33169` Chr`5` : `73,309,105`	0.740	0.260	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.736	0.264	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.733	0.267	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.731	0.269	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.730	0.269	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.729	0.271	0.000
rs41291189 lBF = `5.43607` Chr`3` : `69,074,878`	0.724	0.276	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.723	0.277	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.722	0.278	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.719	0.280	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.719	0.281	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.717	0.283	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.716	0.284	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.716	0.284	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.716	0.284	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.716	0.284	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.716	0.284	0.000
rs12492992 lBF = `6.38992` Chr`3` : `196,883,562`	0.714	0.286	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.712	0.288	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.711	0.289	0.000
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.711	0.289	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.710	0.290	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.708	0.291	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.707	0.293	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.707	0.293	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.706	0.294	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.706	0.294	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.702	0.298	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.700	0.300	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.697	0.303	0.000
rs4839680 lBF = `1.36876` Chr`3` : `143,902,027`	0.697	0.303	0.000
rs6787231 lBF = `1.10831` Chr`3` : `20,957,810`	0.000	0.304	0.696
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.695	0.305	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.694	0.306	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.694	0.306	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.693	0.307	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.692	0.308	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.690	0.310	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.689	0.311	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.687	0.313	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.687	0.313	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.687	0.313	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.686	0.314	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.685	0.315	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.685	0.315	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.684	0.316	0.000
rs115525301 lBF = `14.6439` Chr`5` : `176,932,440`	0.681	0.319	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.680	0.320	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.679	0.321	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.679	0.321	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.678	0.322	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.678	0.322	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.675	0.325	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.674	0.326	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.671	0.329	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.670	0.330	0.000
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.670	0.330	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.666	0.334	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.666	0.334	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.665	0.334	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.665	0.335	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.665	0.335	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.665	0.335	0.000
rs77913858 lBF = `29.141` Chr`6` : `32,066,815`	0.664	0.336	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.664	0.336	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.660	0.340	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.660	0.340	0.000
rs17207986 lBF = `30.3956` Chr`6` : `32,079,567`	0.659	0.341	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.658	0.341	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.658	0.342	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.657	0.343	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.656	0.343	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.655	0.344	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.655	0.345	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.655	0.345	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.654	0.346	0.000
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.653	0.347	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.653	0.347	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.653	0.347	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.652	0.348	0.000
rs76024631 lBF = `30.2245` Chr`6` : `32,088,988`	0.652	0.348	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.651	0.349	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.651	0.349	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.650	0.350	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.650	0.350	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.650	0.350	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.648	0.352	0.000
rs7726414 lBF = `7.38602` Chr`5` : `133,431,834`	0.648	0.352	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.647	0.353	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.647	0.353	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.647	0.353	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.647	0.353	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.646	0.354	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.645	0.355	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.644	0.356	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.642	0.358	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.642	0.358	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.640	0.359	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.639	0.361	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.638	0.362	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.637	0.363	0.000
rs1320333 lBF = `0.774822` Chr`2` : `679,179`	0.637	0.363	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.636	0.364	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.636	0.364	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.635	0.365	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.633	0.367	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.633	0.367	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.633	0.367	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.633	0.367	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.632	0.368	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.631	0.369	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.630	0.370	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.629	0.371	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.628	0.372	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.627	0.372	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.627	0.373	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.627	0.373	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.627	0.373	0.000
rs2394967 lBF = `67.3079` Chr`6` : `31,269,129`	0.626	0.374	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.626	0.374	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.624	0.376	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.623	0.377	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.623	0.377	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.622	0.378	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.622	0.378	0.000
rs4523128 lBF = `67.5153` Chr`6` : `31,269,382`	0.622	0.378	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.622	0.378	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.622	0.378	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.621	0.379	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.620	0.379	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.620	0.380	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.620	0.380	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.619	0.381	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.619	0.381	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.617	0.383	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.616	0.384	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.615	0.384	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.615	0.385	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.615	0.385	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.615	0.385	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.613	0.387	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.612	0.388	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.611	0.389	0.000
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rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.528	0.472	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.528	0.472	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.527	0.473	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.527	0.473	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.527	0.473	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.525	0.474	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.525	0.475	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.525	0.475	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.525	0.475	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.524	0.476	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.524	0.476	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.524	0.476	0.000
rs7757496 lBF = `23.0627` Chr`6` : `31,780,235`	0.524	0.476	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.524	0.476	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.524	0.476	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.524	0.476	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.523	0.476	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.523	0.477	0.000
rs114198627 lBF = `18.7376` Chr`6` : `31,195,009`	0.523	0.477	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.523	0.477	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.522	0.477	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.522	0.478	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.522	0.478	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.521	0.478	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.521	0.478	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.521	0.479	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.521	0.479	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.521	0.479	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.521	0.479	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.520	0.479	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.520	0.480	0.000
rs4863692 lBF = `1.39027` Chr`4` : `140,764,124`	0.520	0.480	0.000
rs75621054 lBF = `15.8715` Chr`1` : `242,378,718`	0.520	0.480	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.520	0.480	0.000
rs17790731 lBF = `6.01635` Chr`5` : `94,983,529`	0.520	0.480	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.519	0.480	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.519	0.481	0.000
rs12135062 lBF = `5.99481` Chr`1` : `3,103,312`	0.519	0.481	0.000
rs116619302 lBF = `84.8225` Chr`6` : `31,410,274`	0.518	0.482	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.518	0.482	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.517	0.482	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.517	0.482	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.517	0.483	0.000
rs72687965 lBF = `17.5275` Chr`1` : `114,073,152`	0.516	0.483	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.516	0.484	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.516	0.484	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.516	0.484	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.516	0.484	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.516	0.484	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.516	0.484	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.515	0.484	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.515	0.484	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.515	0.485	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.485	0.515
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.515	0.485	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.515	0.485	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.515	0.485	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.514	0.485	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.514	0.486	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.514	0.486	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.514	0.486	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.514	0.486	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.514	0.486	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.514	0.486	0.000
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.513	0.487	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.513	0.487	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.513	0.487	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.513	0.487	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.513	0.487	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.512	0.487	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.512	0.488	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.512	0.488	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.512	0.488	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.512	0.488	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.511	0.488	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.511	0.489	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.511	0.489	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.511	0.489	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.510	0.489	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.510	0.489	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.510	0.490	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.510	0.490	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.510	0.490	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.509	0.490	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.509	0.491	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.509	0.491	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.508	0.492	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.508	0.492	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.507	0.493	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.507	0.493	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.507	0.493	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.507	0.493	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.507	0.493	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.507	0.493	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.507	0.493	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.506	0.493	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2454

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.2267

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

1.0000

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9963

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9962

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9901

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9852

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9632

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9590

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9548

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9368

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9323

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9075

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8932

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8908

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8842

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8770

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8586

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8471

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8408

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8259

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8119

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8094

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8083

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8075

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7982

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7924

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7905

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7824

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7671

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7470

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7465

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7452

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7335

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7311

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7218

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7188

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7173

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7118

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7107

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7084

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7051

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7046

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6952

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6769

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6496

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6467

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6416

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6344

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6213

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6152

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6125

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6079

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6072

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6030

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5971

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5943

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5911

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5907

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5871

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5849

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5819

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5736

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5600

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5488

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5463

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5377

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5275

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5201

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5184

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5087

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4964

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4902

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4864

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4861

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4643

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4539

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4514

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4489

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4467

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4325

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4317

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4301

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4266

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4172

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4069

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4010

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3915

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3909

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3882

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3877

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3833

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3786

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3742

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3546

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3501

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3464

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3358

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3307

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3294

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3291

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3218

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3195

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2997

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2995

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2948

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2866

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2814

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2762

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2696

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2680

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2631

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2573

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2496

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2475

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2345

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2303

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2241

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2211

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2166

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2114

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2085

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2045

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1959

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1853

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1584

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1508

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1497

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1418

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1272

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1246

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1193

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1173

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1162

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1077

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1024

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1015

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1014

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0935

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0856

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0822

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0794

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0780

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0754

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0713

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0681

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0653

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0648

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0639

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0631

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0578

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0558

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0528

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`)