TreeWAS – [O61] Failed induction of labour

Download association data
for this term in csv format

Share this page

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

O61

Failed induction of labour

Parent term	O60-O75 Complications of labour and delivery
Nested terms	O61.0 Failed medical induction of labour O61.1 Failed instrumental induction of labour O61.8 Other failed induction of labour O61.9 Failed induction of labour, unspecified

What are diagnostic terms?

Variant effects

Click on a variant to see its association results.

Download this figure in format

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
rs17054265 lBF = `4.41443` Chr`9` : `91,260,562`	0.901	0.099	0.000
rs1992284 lBF = `5.12033` Chr`2` : `43,065,555`	0.898	0.102	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.898	0.102	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.880	0.120	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.878	0.122	0.000
rs17446324 lBF = `2.09498` Chr`7` : `83,157,804`	0.877	0.123	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.877	0.123	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.853	0.147	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.852	0.148	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.848	0.152	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.847	0.153	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.845	0.155	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.843	0.157	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.839	0.161	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.838	0.162	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.838	0.162	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.838	0.162	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.837	0.163	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.834	0.166	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.833	0.166	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.832	0.168	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.830	0.170	0.000
rs9374842 lBF = `7.02448` Chr`6` : `120,185,665`	0.000	0.170	0.830
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.830	0.170	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.171	0.829
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.827	0.173	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.826	0.174	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.825	0.175	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.825	0.175	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.822	0.178	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.822	0.178	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.821	0.179	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.819	0.181	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.819	0.181	0.000
rs2910756 lBF = `1.50337` Chr`5` : `37,860,074`	0.818	0.182	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.817	0.183	0.000
rs1329530 lBF = `7.19577` Chr`6` : `120,182,610`	0.817	0.183	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.816	0.184	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.815	0.185	0.000
rs1314913 lBF = `2.73209` Chr`14` : `68,699,594`	0.815	0.185	0.000
rs113285159 lBF = `5.01196` Chr`18` : `40,971,984`	0.814	0.186	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.811	0.189	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.811	0.189	0.000
rs17576670 lBF = `2.56905` Chr`2` : `62,817,019`	0.811	0.189	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.810	0.190	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.809	0.190	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.809	0.191	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.808	0.192	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.807	0.193	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.806	0.194	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.805	0.195	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.805	0.195	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.804	0.196	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.803	0.197	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.803	0.197	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.803	0.197	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.802	0.198	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.802	0.198	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.801	0.199	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.801	0.199	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.801	0.199	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.800	0.200	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.797	0.203	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.796	0.204	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.796	0.204	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.792	0.208	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.791	0.209	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.790	0.210	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.789	0.210	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.788	0.212	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.785	0.215	0.000
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.784	0.216	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.784	0.216	0.000
rs6435999 lBF = `1.74683` Chr`2` : `218,523,162`	0.783	0.217	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.782	0.218	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.782	0.218	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.781	0.219	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.781	0.219	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.780	0.220	0.000
rs4839680 lBF = `1.36876` Chr`3` : `143,902,027`	0.780	0.220	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.778	0.222	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.777	0.223	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.777	0.223	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.776	0.224	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.775	0.225	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.775	0.225	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.775	0.225	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.774	0.226	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.774	0.226	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.773	0.227	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.772	0.228	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.770	0.230	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.770	0.230	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.770	0.230	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.769	0.231	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.769	0.231	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.767	0.233	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.767	0.233	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.767	0.233	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.767	0.233	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.766	0.234	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.766	0.234	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.765	0.235	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.763	0.237	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.763	0.237	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.763	0.237	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.762	0.238	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.762	0.238	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.762	0.238	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.760	0.239	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.759	0.240	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.759	0.241	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.759	0.241	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.759	0.241	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.758	0.241	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.758	0.242	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.758	0.242	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.758	0.242	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.756	0.244	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.245	0.755
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.755	0.245	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.754	0.246	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.753	0.247	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.753	0.247	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.752	0.248	0.000
rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.752	0.248	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.752	0.248	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.751	0.249	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.750	0.250	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.750	0.250	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.750	0.250	0.000
rs12135062 lBF = `5.99481` Chr`1` : `3,103,312`	0.750	0.250	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.251	0.749
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.749	0.251	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.748	0.252	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.748	0.252	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.746	0.254	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.745	0.255	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.745	0.255	0.000
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.255	0.745
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.744	0.256	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.743	0.257	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.743	0.257	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.743	0.257	0.000
rs12085650 lBF = `5.18612` Chr`1` : `31,490,096`	0.000	0.258	0.742
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.741	0.259	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.741	0.259	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.741	0.259	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.741	0.259	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.739	0.260	0.000
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.739	0.261	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.738	0.262	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.738	0.262	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.738	0.262	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.738	0.262	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.738	0.262	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.737	0.263	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.737	0.263	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.737	0.263	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.736	0.264	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.736	0.264	0.000
rs1910003 lBF = `1.03173` Chr`5` : `125,304,547`	0.735	0.265	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.735	0.265	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.734	0.266	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.733	0.266	0.000
rs186507655 lBF = `20.9052` Chr`1` : `1,287,055`	0.733	0.267	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.733	0.267	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.733	0.267	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.732	0.267	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.732	0.268	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.731	0.269	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.731	0.269	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.730	0.270	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.730	0.270	0.000
rs79436609 lBF = `1.9732` Chr`3` : `140,417,446`	0.730	0.270	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.729	0.271	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.729	0.271	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.728	0.272	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.728	0.272	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.726	0.274	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.725	0.275	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.725	0.275	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.725	0.275	0.000
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.725	0.275	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.725	0.275	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.275	0.725
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.725	0.275	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.724	0.276	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.724	0.276	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.724	0.276	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.723	0.276	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.723	0.277	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.723	0.277	0.000
rs77382928 lBF = `9.24275` Chr`1` : `49,988,835`	0.723	0.277	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.723	0.277	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.722	0.278	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.722	0.278	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.722	0.278	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.721	0.279	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.720	0.280	0.000
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.720	0.280	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.719	0.281	0.000
rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.719	0.281	0.000
rs201435717 lBF = `2.48587` Chr`6` : `122,793,700`	0.719	0.281	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.718	0.282	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.717	0.283	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.717	0.283	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.717	0.283	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.717	0.283	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.717	0.283	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.717	0.283	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.717	0.283	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.717	0.283	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.717	0.283	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.717	0.283	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.716	0.283	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.716	0.283	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.716	0.284	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.716	0.284	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.716	0.284	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.716	0.284	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.716	0.284	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.716	0.284	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.716	0.284	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.716	0.284	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.716	0.284	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.715	0.284	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.715	0.284	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.715	0.284	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.715	0.284	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.715	0.285	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.715	0.285	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.715	0.285	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.715	0.285	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.715	0.285	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.715	0.285	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.715	0.285	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.715	0.285	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.715	0.285	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.715	0.285	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.715	0.285	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.715	0.285	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.715	0.285	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.715	0.285	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.715	0.285	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.714	0.285	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.714	0.286	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.714	0.286	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.714	0.286	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.714	0.286	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.714	0.286	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.714	0.286	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.714	0.286	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.714	0.286	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.714	0.286	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.714	0.286	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.714	0.286	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.714	0.286	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.714	0.286	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.713	0.287	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.713	0.287	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.713	0.287	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.713	0.287	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.713	0.287	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.713	0.287	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.713	0.287	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.713	0.287	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.713	0.287	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.713	0.287	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.713	0.287	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.713	0.287	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.713	0.287	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.712	0.287	0.000
rs35292876 lBF = `4.20174` Chr`1` : `196,706,642`	0.712	0.287	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.712	0.287	0.000
rs73002470 lBF = `12.3392` Chr`6` : `149,403,297`	0.712	0.288	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.712	0.288	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.712	0.288	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.711	0.288	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.711	0.289	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.711	0.289	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.711	0.289	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.711	0.289	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.711	0.289	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.711	0.289	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.711	0.289	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.710	0.290	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.710	0.290	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.710	0.290	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.710	0.290	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.710	0.290	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.710	0.290	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.709	0.291	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.709	0.291	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.709	0.291	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.709	0.291	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.709	0.291	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.709	0.291	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.709	0.291	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.709	0.291	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.708	0.291	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.708	0.291	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.708	0.292	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.708	0.292	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.708	0.292	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.708	0.292	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.708	0.292	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.708	0.292	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.708	0.292	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.708	0.292	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.708	0.292	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.707	0.292	0.000
rs2744294 lBF = `25.957` Chr`6` : `25,296,606`	0.707	0.293	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.707	0.293	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.706	0.293	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.706	0.294	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.706	0.294	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.706	0.294	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.706	0.294	0.000
rs11601906 lBF = `0.741712` Chr`11` : `131,325,246`	0.706	0.294	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.706	0.294	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.706	0.294	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.706	0.294	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.705	0.294	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.705	0.294	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.705	0.295	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.705	0.295	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.705	0.295	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.705	0.295	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.295	0.705
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.705	0.295	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.705	0.295	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.705	0.295	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.705	0.295	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.704	0.295	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.704	0.295	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.704	0.296	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.704	0.296	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.704	0.296	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.704	0.296	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.704	0.296	0.000
rs72687965 lBF = `17.5275` Chr`1` : `114,073,152`	0.704	0.296	0.000
rs6670062 lBF = `2.87632` Chr`1` : `247,261,125`	0.704	0.296	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.704	0.296	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.704	0.296	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.703	0.297	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.703	0.297	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.703	0.297	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.703	0.297	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.703	0.297	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.703	0.297	0.000
rs6698528 lBF = `13.1015` Chr`1` : `193,503,444`	0.702	0.297	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.702	0.297	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.702	0.297	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.702	0.297	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.298	0.702
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.702	0.298	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.702	0.298	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.702	0.298	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.702	0.298	0.000
rs9835928 lBF = `17.3241` Chr`3` : `114,296,725`	0.702	0.298	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.702	0.298	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.702	0.298	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.702	0.298	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.701	0.298	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.701	0.298	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.701	0.299	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.701	0.299	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.701	0.299	0.000
rs7964407 lBF = `0.858826` Chr`12` : `28,192,989`	0.000	0.299	0.701
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.701	0.299	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.701	0.299	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.701	0.299	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.700	0.299	0.000
rs152784 lBF = `14.4221` Chr`5` : `132,772,431`	0.700	0.299	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.700	0.299	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.700	0.300	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.700	0.300	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.700	0.300	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.700	0.300	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.700	0.300	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.700	0.300	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.700	0.300	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.700	0.300	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.700	0.300	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.700	0.300	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.699	0.300	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.699	0.300	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.699	0.300	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.699	0.301	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.699	0.301	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.699	0.301	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.699	0.301	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.699	0.301	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.699	0.301	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.699	0.301	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.699	0.301	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.699	0.301	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.698	0.301	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.698	0.302	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.698	0.302	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.698	0.302	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.698	0.302	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.698	0.302	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.698	0.302	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.698	0.302	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.697	0.303	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.697	0.303	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.697	0.303	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.697	0.303	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.697	0.303	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.697	0.303	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.697	0.303	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.697	0.303	0.000
rs16998084 lBF = `5.36261` Chr`21` : `42,471,628`	0.697	0.303	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.696	0.303	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.696	0.304	0.000
rs115999992 lBF = `81.6793` Chr`6` : `31,348,987`	0.696	0.304	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.696	0.304	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.696	0.304	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.696	0.304	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.695	0.304	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.695	0.305	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.695	0.305	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.695	0.305	0.000
rs111561475 lBF = `1.31769` Chr`11` : `21,956,958`	0.694	0.305	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.694	0.306	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.694	0.306	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.694	0.306	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.694	0.306	0.000
rs9368666 lBF = `20.5229` Chr`6` : `31,229,644`	0.694	0.306	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.694	0.306	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.693	0.307	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.693	0.307	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.693	0.307	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.693	0.307	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.693	0.307	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.692	0.307	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.692	0.307	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.692	0.308	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.692	0.308	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.692	0.308	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.692	0.308	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.692	0.308	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.692	0.308	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.692	0.308	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.691	0.309	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.691	0.309	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.691	0.309	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.691	0.309	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.691	0.309	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.691	0.309	0.000
rs114291795 lBF = `78.0497` Chr`6` : `31,377,640`	0.691	0.309	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.690	0.310	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.690	0.310	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.690	0.310	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.690	0.310	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.690	0.310	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.689	0.310	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.689	0.311	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.689	0.311	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.689	0.311	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.689	0.311	0.000
rs3997984 lBF = `89.8675` Chr`6` : `31,351,090`	0.689	0.311	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.689	0.311	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.688	0.311	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.688	0.312	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.688	0.312	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.688	0.312	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.688	0.312	0.000
rs116488202 lBF = `90.3694` Chr`6` : `31,344,916`	0.688	0.312	0.000
rs17006842 lBF = `1.77826` Chr`3` : `70,259,702`	0.688	0.312	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.688	0.312	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.687	0.313	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.687	0.313	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.687	0.313	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.687	0.313	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.687	0.313	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.687	0.313	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.686	0.313	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.687	0.313	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.686	0.313	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.686	0.314	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.685	0.314	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.685	0.315	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.685	0.315	0.000
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.685	0.315	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.685	0.315	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.684	0.315	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.684	0.315	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.684	0.316	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.684	0.316	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.684	0.316	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.684	0.316	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.684	0.316	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.684	0.316	0.000
rs7431992 lBF = `0.649321` Chr`3` : `54,353,240`	0.684	0.316	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.683	0.316	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.683	0.317	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.683	0.317	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

0.8384

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7023

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9933

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9897

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9823

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9779

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9775

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9738

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9706

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9700

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9657

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9650

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9616

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9574

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9555

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9541

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9467

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9464

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9391

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9375

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9368

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9326

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9316

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9244

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9200

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9187

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9175

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9077

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8990

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8981

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8914

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8908

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8866

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8857

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8804

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8783

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8779

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8757

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8742

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8700

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8644

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8619

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8600

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8590

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8562

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8559

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8534

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8526

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8513

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8513

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8511

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8468

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8431

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8430

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8388

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8383

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8325

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8323

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8289

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8253

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8213

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8205

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8202

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8192

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8192

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8182

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8147

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8140

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8082

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8069

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8012

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7997

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7995

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7984

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7982

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7975

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7946

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7899

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7874

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7789

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7775

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7765

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7752

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7751

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7744

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7729

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7673

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7656

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7566

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7548

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7517

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7445

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7438

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7436

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7406

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7388

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7372

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7344

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7255

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7246

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7221

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7208

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.7205

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7169

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7169

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7165

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7162

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7148

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7147

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7126

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7100

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7095

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7095

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7034

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6971

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6911

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6904

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6903

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6689

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6676

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6415

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6333

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6274

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6269

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6234

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5872

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5792

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5624

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5606

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5340

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5252

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5212

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4947

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4923

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4861

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4845

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4800

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4777

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4776

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4606

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4482

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4349

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4273

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4097

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3832

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3503

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3500

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3261

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3174

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3039

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2814

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2715

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2660

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2524

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2258

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2256

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1945

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1871

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1776

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1690

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1523

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1456

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1392

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1130

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1040

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0863

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0766

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0608

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0586

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)

Hospitalization Episode Statistics (`HES`)