TreeWAS – [O62] Abnormalities of forces of labour

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
rs1329530 lBF = `7.19577` Chr`6` : `120,182,610`	0.982	0.018	0.000
rs9374842 lBF = `7.02448` Chr`6` : `120,185,665`	0.000	0.020	0.980
rs1992284 lBF = `5.12033` Chr`2` : `43,065,555`	0.980	0.020	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.969	0.031	0.000
rs12085650 lBF = `5.18612` Chr`1` : `31,490,096`	0.000	0.035	0.965
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.035	0.965
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.958	0.042	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.954	0.046	0.000
rs1314913 lBF = `2.73209` Chr`14` : `68,699,594`	0.949	0.051	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.948	0.052	0.000
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.947	0.053	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.946	0.054	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.943	0.057	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.943	0.057	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.942	0.058	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	0.072	0.928
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.920	0.080	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.920	0.080	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.920	0.080	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.918	0.082	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.916	0.084	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.916	0.084	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.913	0.087	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.908	0.092	0.000
rs2910756 lBF = `1.50337` Chr`5` : `37,860,074`	0.905	0.095	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.902	0.098	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.902	0.098	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.901	0.099	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.899	0.101	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.898	0.102	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.896	0.104	0.000
rs41291189 lBF = `5.43607` Chr`3` : `69,074,878`	0.892	0.108	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.886	0.114	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.879	0.121	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.878	0.122	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.878	0.122	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.877	0.123	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.874	0.126	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.874	0.126	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.874	0.126	0.000
rs12410444 lBF = `1.56248` Chr`1` : `44,188,719`	0.872	0.128	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.872	0.128	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.872	0.128	0.000
rs12492992 lBF = `6.38992` Chr`3` : `196,883,562`	0.869	0.131	0.000
rs17054265 lBF = `4.41443` Chr`9` : `91,260,562`	0.869	0.131	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.868	0.132	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.866	0.134	0.000
rs6684514 lBF = `2.53209` Chr`1` : `156,255,456`	0.000	0.134	0.866
rs152784 lBF = `14.4221` Chr`5` : `132,772,431`	0.863	0.137	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.863	0.137	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.861	0.139	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.860	0.140	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.859	0.141	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.857	0.143	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.856	0.144	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.856	0.144	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.855	0.145	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.855	0.145	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.854	0.146	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.854	0.146	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.850	0.150	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.849	0.151	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.849	0.151	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.847	0.153	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.847	0.153	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.847	0.153	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.846	0.154	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.846	0.154	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.846	0.154	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.845	0.155	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.842	0.158	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.840	0.160	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.839	0.161	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.838	0.162	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.838	0.162	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.838	0.162	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.837	0.163	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.837	0.163	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.836	0.164	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.836	0.164	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.836	0.164	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.835	0.165	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.834	0.166	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.833	0.167	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.831	0.169	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.830	0.170	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.828	0.172	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.826	0.174	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	0.174	0.826
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.825	0.175	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.825	0.175	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.825	0.175	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.824	0.176	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.824	0.176	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.824	0.176	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.824	0.176	0.000
rs13199772 lBF = `176.085` Chr`6` : `27,834,085`	0.824	0.176	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.821	0.179	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.821	0.179	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.821	0.179	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.821	0.179	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.821	0.179	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.819	0.181	0.000
rs77382928 lBF = `9.24275` Chr`1` : `49,988,835`	0.819	0.181	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.819	0.181	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.818	0.182	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.818	0.182	0.000
rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.817	0.183	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.817	0.183	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.816	0.184	0.000
rs13207082 lBF = `171.541` Chr`6` : `27,251,379`	0.816	0.184	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.815	0.185	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.814	0.186	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.812	0.188	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.812	0.188	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.811	0.189	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.810	0.190	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.810	0.190	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.810	0.190	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.810	0.190	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.810	0.190	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.809	0.191	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.809	0.191	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.808	0.192	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.808	0.192	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.807	0.193	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.807	0.193	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.806	0.194	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.805	0.194	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.805	0.195	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.804	0.196	0.000
rs17576670 lBF = `2.56905` Chr`2` : `62,817,019`	0.803	0.197	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.802	0.198	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.802	0.198	0.000
rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.802	0.198	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.801	0.199	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.801	0.199	0.000
rs13194781 lBF = `178.016` Chr`6` : `27,815,639`	0.801	0.199	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.800	0.200	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.800	0.200	0.000
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.800	0.200	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.799	0.201	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.799	0.201	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.799	0.201	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.798	0.201	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.798	0.202	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.798	0.202	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.797	0.203	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.797	0.203	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.796	0.204	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.796	0.204	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.796	0.204	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.795	0.205	0.000
rs10511052 lBF = `1.92327` Chr`3` : `76,725,903`	0.793	0.207	0.000
rs72687965 lBF = `17.5275` Chr`1` : `114,073,152`	0.793	0.207	0.000
rs79978308 lBF = `2.78083` Chr`21` : `41,020,545`	0.793	0.207	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.792	0.208	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.791	0.209	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.790	0.210	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.790	0.210	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.210	0.790
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.210	0.790
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.790	0.210	0.000
rs13200797 lBF = `98.3608` Chr`6` : `26,122,957`	0.789	0.211	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.789	0.211	0.000
rs9284954 lBF = `1.46178` Chr`4` : `176,648,332`	0.788	0.211	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.788	0.212	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.787	0.213	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.786	0.214	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.786	0.214	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.785	0.215	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.785	0.215	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.784	0.216	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.784	0.216	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.783	0.217	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.783	0.217	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.781	0.219	0.000
rs4523128 lBF = `67.5153` Chr`6` : `31,269,382`	0.781	0.219	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.781	0.219	0.000
rs2394967 lBF = `67.3079` Chr`6` : `31,269,129`	0.780	0.220	0.000
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.779	0.221	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.779	0.221	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.779	0.221	0.000
rs114291795 lBF = `78.0497` Chr`6` : `31,377,640`	0.779	0.221	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.778	0.222	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.777	0.223	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.777	0.223	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.777	0.223	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.777	0.223	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.776	0.224	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.776	0.224	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.775	0.224	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.775	0.225	0.000
rs2664035 lBF = `0.661831` Chr`4` : `48,220,839`	0.775	0.225	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.774	0.226	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.774	0.226	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.773	0.226	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.773	0.227	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.773	0.227	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.773	0.227	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.773	0.227	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.772	0.228	0.000
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rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.720	0.280	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.719	0.281	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.719	0.281	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.719	0.281	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.718	0.282	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.718	0.282	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.717	0.282	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.717	0.283	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.717	0.283	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.717	0.283	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.717	0.283	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.717	0.283	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.716	0.283	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.716	0.284	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.716	0.284	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.716	0.284	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.716	0.284	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.716	0.284	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.716	0.284	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.716	0.284	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.715	0.284	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.715	0.284	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.715	0.285	0.000
rs117377944 lBF = `9.01444` Chr`6` : `113,901,414`	0.715	0.285	0.000
rs77913858 lBF = `29.141` Chr`6` : `32,066,815`	0.715	0.285	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.715	0.285	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.715	0.285	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.715	0.285	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.714	0.286	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.714	0.286	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.714	0.286	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.714	0.286	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.714	0.286	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.714	0.286	0.000
rs4863692 lBF = `1.39027` Chr`4` : `140,764,124`	0.714	0.286	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.713	0.287	0.000
rs9813389 lBF = `7.33298` Chr`3` : `131,837,290`	0.713	0.287	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.713	0.287	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.713	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
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.712	0.288	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.712	0.288	0.000
rs17006842 lBF = `1.77826` Chr`3` : `70,259,702`	0.712	0.288	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.711	0.289	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.711	0.289	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.711	0.289	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.711	0.289	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.711	0.289	0.000
rs10484433 lBF = `93.7652` Chr`6` : `26,030,492`	0.711	0.289	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.711	0.289	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.710	0.290	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.710	0.290	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.710	0.290	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.709	0.291	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.709	0.291	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.709	0.291	0.000
rs116363196 lBF = `73.8343` Chr`6` : `31,405,472`	0.709	0.291	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.709	0.291	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.708	0.292	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.708	0.292	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.708	0.292	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.708	0.292	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.707	0.293	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.707	0.293	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.707	0.293	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.707	0.293	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.707	0.293	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.706	0.294	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.705	0.294	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.705	0.295	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.705	0.295	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.704	0.295	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.704	0.296	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.704	0.296	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.704	0.296	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.704	0.296	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.704	0.296	0.000
rs16984718 lBF = `4.60309` Chr`2` : `18,509,254`	0.703	0.297	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.703	0.297	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.703	0.297	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.703	0.297	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.703	0.297	0.000
rs79237515 lBF = `4.93995` Chr`1` : `194,549,026`	0.703	0.297	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.702	0.297	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.702	0.298	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.702	0.298	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.702	0.298	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.702	0.298	0.000
rs6698528 lBF = `13.1015` Chr`1` : `193,503,444`	0.702	0.298	0.000
rs116447526 lBF = `83.1717` Chr`6` : `31,417,995`	0.702	0.298	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.702	0.298	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.701	0.298	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.702	0.298	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.701	0.299	0.000
rs6435999 lBF = `1.74683` Chr`2` : `218,523,162`	0.701	0.299	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.701	0.299	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.701	0.299	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

0.9959

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7900

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

1.0000

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9988

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9982

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9968

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9961

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9956

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9948

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9945

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9924

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9923

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9918

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9915

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9906

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9890

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9873

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9852

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9800

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9766

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9752

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9745

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9744

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9743

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9743

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9728

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9696

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9677

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9672

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9653

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9643

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9636

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9631

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9627

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9602

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9594

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9578

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9578

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9569

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9562

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9557

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9552

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9487

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9461

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9451

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9393

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9360

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9356

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9307

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9302

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9255

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9251

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9249

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9210

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9194

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9179

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9174

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9164

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9125

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9082

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9078

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9006

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9005

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8990

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8978

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8973

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8972

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8846

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8793

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8769

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8769

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8718

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8709

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8706

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8702

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8691

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8687

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8657

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8656

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8605

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8519

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8519

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8496

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8445

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8443

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8421

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8382

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8321

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8317

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8290

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8282

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8270

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8270

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8249

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8233

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8227

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8215

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8174

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8150

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8102

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8039

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7960

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7935

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.7932

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7915

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7890

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7864

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7843

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7816

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7808

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7794

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7790

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7744

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7735

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7542

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7533

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7520

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7500

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7497

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7457

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7442

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7438

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7427

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7396

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7389

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7324

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7301

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7290

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7113

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7111

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6974

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6742

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6600

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6353

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6122

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6091

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5975

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5970

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5849

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5387

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5003

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4602

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4286

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4221

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4154

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4058

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3958

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3935

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3870

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3547

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3287

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3274

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3074

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3024

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2448

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2370

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2299

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1788

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1769

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1658

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1548

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1494

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1427

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1420

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1240

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1122

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1014

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0763

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0692

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0639

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0598

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0542

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.

Parent term	O60-O75 Complications of labour and delivery
Nested terms	O62.0 Primary inadequate contractions O62.1 Secondary uterine inertia O62.2 Other uterine inertia O62.3 Precipitate labour O62.4 Hypertonic, incoordinate and prolonged uterine contractions O62.8 Other abnormalities of forces of labour O62.9 Abnormality of forces of labour, unspecified

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`)