TreeWAS – [O66] Other obstructed 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
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.883	0.117	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.877	0.123	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.877	0.123	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.873	0.127	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.799	0.201	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.783	0.217	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.733	0.267	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.723	0.277	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.715	0.284	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.712	0.288	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.709	0.291	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.707	0.293	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.706	0.294	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.702	0.297	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.692	0.307	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.690	0.310	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.688	0.312	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.675	0.325	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.672	0.328	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.659	0.340	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.659	0.341	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.640	0.360	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.623	0.377	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.611	0.389	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	0.389	0.611
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.605	0.395	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.593	0.407	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.593	0.407	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.578	0.422	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.578	0.422	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.570	0.430	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.569	0.431	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.551	0.449	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.548	0.452	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.544	0.456	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.535	0.464	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.523	0.477	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.522	0.477	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.510	0.490	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.504	0.496	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.498	0.502	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.452	0.548	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.444	0.555	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.441	0.559	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.437	0.563	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.421	0.579	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.420	0.580	0.000
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.600	0.399
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.389	0.611	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.379	0.621	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.374	0.626	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.363	0.637	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.357	0.642	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.357	0.643	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.349	0.650	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.344	0.656	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.338	0.662	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.331	0.669	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.330	0.670	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.326	0.674	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.322	0.678	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.318	0.682	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.309	0.690	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.300	0.700	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.299	0.701	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.291	0.709	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.273	0.727	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.264	0.735	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.249	0.751	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.242	0.758	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.239	0.761	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.232	0.768	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.225	0.775	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.221	0.779	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.220	0.779	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.212	0.788	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.186	0.814	0.000
rs9315632 lBF = `0.319659` Chr`13` : `39,516,627`	0.183	0.817	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.182	0.818	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.180	0.820	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.180	0.820	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.172	0.828	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.160	0.840	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.155	0.845	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.154	0.845	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.152	0.848	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.145	0.855	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.144	0.856	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.139	0.861	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.137	0.863	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.127	0.873	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.124	0.876	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.124	0.876	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.120	0.879	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.115	0.885	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.115	0.885	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.104	0.895	0.001
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.099	0.901	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.095	0.905	0.000
rs17267292 lBF = `0.0220614` Chr`13` : `93,323,146`	0.089	0.911	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.087	0.912	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.083	0.916	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.080	0.920	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.069	0.930	0.001
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.066	0.934	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.064	0.936	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.060	0.939	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.053	0.947	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	0.950	0.050
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.049	0.951	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.048	0.952	0.001
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.048	0.952	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.048	0.952	0.001
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.047	0.953	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.014	0.954	0.032
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.042	0.955	0.003
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.039	0.957	0.004
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.043	0.957	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.041	0.959	0.000
rs9599293 lBF = `-0.0073785` Chr`13` : `35,165,390`	0.038	0.962	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.037	0.963	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.036	0.963	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.035	0.964	0.001
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.035	0.964	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.035	0.964	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.032	0.965	0.002
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.030	0.967	0.003
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.032	0.968	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.030	0.969	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.031	0.969	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.030	0.970	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.030	0.970	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.028	0.972	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.028	0.972	0.000
rs12865097 lBF = `-0.0320758` Chr`13` : `45,477,410`	0.027	0.973	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.027	0.973	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.025	0.974	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.025	0.975	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.024	0.976	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.023	0.977	0.000
rs2875517 lBF = `0.0316769` Chr`13` : `67,696,145`	0.023	0.977	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.021	0.979	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.021	0.979	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.018	0.981	0.001
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.019	0.981	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.016	0.982	0.002
rs115694210 lBF = `-0.00229245` Chr`13` : `106,392,579`	0.018	0.982	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.017	0.982	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.017	0.983	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.017	0.983	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.016	0.984	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.015	0.985	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.000	0.985	0.015
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.013	0.987	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.012	0.988	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.011	0.988	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.011	0.989	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.009	0.990	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.009	0.991	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.008	0.991	0.001
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.008	0.992	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.008	0.992	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.007	0.992	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.007	0.993	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.007	0.993	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.006	0.993	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.006	0.994	0.000
rs9316505 lBF = `-0.0208236` Chr`13` : `51,390,598`	0.000	0.994	0.006
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.006	0.994	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.006	0.994	0.000
rs814141 lBF = `-0.0324034` Chr`13` : `109,511,059`	0.000	0.994	0.006
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	0.994	0.005
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.005	0.995	0.000
rs9561252 lBF = `-0.0321187` Chr`13` : `93,729,285`	0.005	0.995	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.004	0.995	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.005	0.995	0.000
rs1590305 lBF = `-0.0249349` Chr`13` : `38,035,189`	0.005	0.995	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.004	0.995	0.000
rs9554348 lBF = `0.224776` Chr`13` : `97,012,355`	0.004	0.996	0.000
rs171156 lBF = `-0.0117374` Chr`13` : `80,845,641`	0.000	0.996	0.004
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.002	0.996	0.001
rs913246 lBF = `0.46896` Chr`13` : `40,948,151`	0.000	0.997	0.003
rs17057285 lBF = `-0.00026026` Chr`13` : `38,737,821`	0.003	0.997	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.002	0.997	0.001
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.003	0.997	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.003	0.997	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.003	0.997	0.000
rs17064136 lBF = `0.0807938` Chr`13` : `21,815,869`	0.003	0.997	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.003	0.997	0.000
rs17086609 lBF = `-0.0970323` Chr`13` : `28,929,711`	0.000	0.997	0.003
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.002	0.998	0.001
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.002	0.998	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.002	0.998	0.000
rs732949 lBF = `-0.0237753` Chr`13` : `53,517,884`	0.002	0.998	0.000
rs9600128 lBF = `-0.0938231` Chr`13` : `74,090,415`	0.000	0.998	0.002
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.002	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.002	0.998	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	0.998	0.002
rs56084662 lBF = `0.0799177` Chr`13` : `32,869,864`	0.002	0.998	0.000
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rs9536463 lBF = `0.1609` Chr`13` : `54,132,247`	0.000	1.000	0.000
rs150841795 lBF = `0.142928` Chr`13` : `54,137,749`	0.000	1.000	0.000
rs9584669 lBF = `0.111773` Chr`13` : `98,363,482`	0.000	1.000	0.000
rs603894 lBF = `0.0931995` Chr`13` : `103,355,327`	0.000	1.000	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	1.000	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.000	1.000	0.000
rs3790022 lBF = `-0.0147772` Chr`13` : `51,576,170`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs7999699 lBF = `-0.0514856` Chr`13` : `48,369,730`	0.000	1.000	0.000
rs4773460 lBF = `-0.0614274` Chr`13` : `87,242,857`	0.000	1.000	0.000
rs1973985 lBF = `-0.0644865` Chr`13` : `107,082,904`	0.000	1.000	0.000
rs7336933 lBF = `-0.0666056` Chr`13` : `42,559,076`	0.000	1.000	0.000
rs7335046 lBF = `3.79919` Chr`13` : `100,041,738`	0.000	1.000	0.000
rs6561151 lBF = `3.55934` Chr`13` : `44,484,706`	0.000	1.000	0.000
rs1512651 lBF = `0.296602` Chr`13` : `56,772,696`	0.000	1.000	0.000
rs9557635 lBF = `0.205787` Chr`13` : `102,051,090`	0.000	1.000	0.000
rs1155848 lBF = `0.0842416` Chr`13` : `79,888,476`	0.000	1.000	0.000
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	1.000	0.000
rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.000	1.000	0.000
rs17648246 lBF = `-0.00487677` Chr`13` : `45,493,881`	0.000	1.000	0.000
rs688872 lBF = `-0.00713596` Chr`13` : `98,966,317`	0.000	1.000	0.000
rs716877 lBF = `-0.00736188` Chr`13` : `72,347,448`	0.000	1.000	0.000
rs584480 lBF = `-0.0158913` Chr`13` : `72,345,505`	0.000	1.000	0.000
rs2036707 lBF = `-0.021407` Chr`13` : `108,484,454`	0.000	1.000	0.000
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	0.000	1.000	0.000
rs1326116 lBF = `-0.0573124` Chr`13` : `26,375,046`	0.000	1.000	0.000
rs2253017 lBF = `-0.0704988` Chr`13` : `21,300,909`	0.000	1.000	0.000
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	1.000	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.000	1.000	0.000
rs9545047 lBF = `0.213006` Chr`13` : `79,859,456`	0.000	1.000	0.000
rs2755237 lBF = `0.206837` Chr`13` : `41,109,429`	0.000	1.000	0.000
rs9552416 lBF = `0.11584` Chr`13` : `19,311,241`	0.000	1.000	0.000
rs2440012 lBF = `0.0835384` Chr`13` : `19,440,123`	0.000	1.000	0.000
rs10492604 lBF = `0.0831316` Chr`13` : `58,904,313`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs1572050 lBF = `0.0338794` Chr`13` : `94,870,765`	0.000	1.000	0.000
rs2997105 lBF = `0.00578687` Chr`13` : `56,378,424`	0.000	1.000	0.000
rs9315204 lBF = `-0.0042702` Chr`13` : `33,693,837`	0.000	1.000	0.000
rs8002779 lBF = `-0.00518483` Chr`13` : `92,015,977`	0.000	1.000	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs9578438 lBF = `-0.0319063` Chr`13` : `22,729,205`	0.000	1.000	0.000
rs1923834 lBF = `-0.037854` Chr`13` : `28,360,487`	0.000	1.000	0.000
rs1333026 lBF = `-0.0536107` Chr`13` : `66,120,784`	0.000	1.000	0.000
rs9302001 lBF = `-0.0565217` Chr`13` : `95,463,392`	0.000	1.000	0.000
rs9919839 lBF = `-0.0581421` Chr`13` : `72,174,353`	0.000	1.000	0.000
rs9572182 lBF = `-0.121281` Chr`13` : `70,086,330`	0.000	1.000	0.000
rs11616947 lBF = `8.69216` Chr`13` : `107,900,049`	0.000	1.000	0.000
rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.000	1.000	0.000
rs3764147 lBF = `4.36031` Chr`13` : `44,457,925`	0.000	1.000	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.000	1.000	0.000
rs12428086 lBF = `0.502216` Chr`13` : `36,441,099`	0.000	1.000	0.000
rs12429889 lBF = `0.314078` Chr`13` : `74,742,322`	0.000	1.000	0.000
rs188014 lBF = `0.290841` Chr`13` : `50,969,923`	0.000	1.000	0.000
rs1927745 lBF = `0.173043` Chr`13` : `107,780,316`	0.000	1.000	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.000	1.000	0.000
rs7335631 lBF = `0.0897623` Chr`13` : `30,957,688`	0.000	1.000	0.000
rs7989336 lBF = `0.0612583` Chr`13` : `97,017,548`	0.000	1.000	0.000
rs11149178 lBF = `0.0600419` Chr`13` : `81,357,671`	0.000	1.000	0.000
rs7987251 lBF = `0.0261308` Chr`13` : `60,279,818`	0.000	1.000	0.000
rs7986704 lBF = `0.0261308` Chr`13` : `60,279,546`	0.000	1.000	0.000
rs9559203 lBF = `0.025885` Chr`13` : `108,664,754`	0.000	1.000	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.000	1.000	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	1.000	0.000
rs7338174 lBF = `-0.00061928` Chr`13` : `51,924,375`	0.000	1.000	0.000
rs4148441 lBF = `-0.00913378` Chr`13` : `95,898,207`	0.000	1.000	0.000
rs7984966 lBF = `-0.0111934` Chr`13` : `47,429,446`	0.000	1.000	0.000
rs319564 lBF = `-0.0148095` Chr`13` : `93,832,879`	0.000	1.000	0.000
rs12583965 lBF = `-0.0157985` Chr`13` : `78,808,813`	0.000	1.000	0.000
rs9512900 lBF = `-0.02378` Chr`13` : `28,429,738`	0.000	1.000	0.000
rs9513627 lBF = `-0.0264286` Chr`13` : `100,196,952`	0.000	1.000	0.000
rs12853515 lBF = `-0.0382816` Chr`13` : `111,781,060`	0.000	1.000	0.000
rs9535307 lBF = `-0.0456365` Chr`13` : `50,291,842`	0.000	1.000	0.000
rs8000245 lBF = `-0.0460945` Chr`13` : `74,730,392`	0.000	1.000	0.000
rs9518810 lBF = `-0.0485096` Chr`13` : `103,343,428`	0.000	1.000	0.000
rs7998314 lBF = `-0.0691174` Chr`13` : `94,233,129`	0.000	1.000	0.000
rs7992643 lBF = `-0.0720002` Chr`13` : `100,555,038`	0.000	1.000	0.000
rs2892463 lBF = `-0.0864545` Chr`13` : `30,347,835`	0.000	1.000	0.000
rs1441264 lBF = `-0.100188` Chr`13` : `79,580,919`	0.000	1.000	0.000
rs9510795 lBF = `-0.119953` Chr`13` : `24,216,012`	0.000	1.000	0.000
rs11616380 lBF = `7.50102` Chr`13` : `80,705,315`	0.000	1.000	0.000
rs6563199 lBF = `0.299279` Chr`13` : `81,550,449`	0.000	1.000	0.000
rs12429545 lBF = `0.248866` Chr`13` : `54,102,206`	0.000	1.000	0.000
rs9568867 lBF = `0.205963` Chr`13` : `54,107,352`	0.000	1.000	0.000
rs200220 lBF = `0.172577` Chr`13` : `50,960,378`	0.000	1.000	0.000
rs3118905 lBF = `0.126346` Chr`13` : `51,105,334`	0.000	1.000	0.000
rs9546434 lBF = `0.116068` Chr`13` : `36,694,391`	0.000	1.000	0.000
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.000	1.000	0.000
rs11839514 lBF = `0.105267` Chr`13` : `93,938,706`	0.000	1.000	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs9548119 lBF = `0.00251943` Chr`13` : `38,531,581`	0.000	1.000	0.000
rs1006064 lBF = `-0.00100883` Chr`13` : `51,846,605`	0.000	1.000	0.000
rs1034200 lBF = `-0.0067708` Chr`13` : `23,228,691`	0.000	1.000	0.000
rs7326068 lBF = `-0.0194431` Chr`13` : `21,209,512`	0.000	1.000	0.000
rs9581094 lBF = `-0.0257043` Chr`13` : `25,082,630`	0.000	1.000	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

0.9917

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7245

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9979

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9967

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9958

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9943

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9877

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9871

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9855

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9853

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9826

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9819

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9810

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9680

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9663

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9643

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9624

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9608

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9607

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9590

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9548

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9535

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9526

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9510

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9457

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9446

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9446

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9446

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9435

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9428

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9425

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9378

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9362

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9358

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9331

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9293

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9255

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9243

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9214

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9200

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9188

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9139

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9040

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9026

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8992

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8976

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8927

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8919

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8915

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8900

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8889

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8885

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8877

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8864

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8839

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8826

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8774

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8769

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8725

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8655

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8550

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8529

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8522

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8504

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8495

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8483

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8476

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8458

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8431

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8401

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8374

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8373

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8363

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8361

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8320

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8288

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8257

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8121

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8089

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8042

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8040

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7997

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7984

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7923

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7919

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7904

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7871

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7831

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7720

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7694

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7652

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7601

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7596

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7570

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7543

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7513

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7487

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7437

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7428

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7389

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7363

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7344

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7330

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7320

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7308

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7299

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7204

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7196

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7190

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7165

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7149

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7102

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7100

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7087

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7047

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7030

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6989

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6860

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6657

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6641

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6635

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6491

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6385

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6342

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6253

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6129

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6115

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6055

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5861

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5282

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4914

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4866

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4844

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4785

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4564

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4517

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4450

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4207

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4022

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3895

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3870

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3720

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3677

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3674

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3496

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3345

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3263

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3224

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3220

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3173

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3036

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3028

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2929

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2527

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2272

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2052

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2032

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1915

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1770

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1653

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1571

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1541

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1410

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1310

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1254

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1244

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0728

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0608

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0596

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0592

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	O66.0 Obstructed labour due to shoulder dystocia O66.1 Obstructed labour due to locked twins O66.2 Obstructed labour due to unusually large foetus O66.3 Obstructed labour due to other abnormalities of foetus O66.4 Failed trial of labour, unspecified O66.5 Failed application of vacuum extractor and forceps, unspecified O66.8 Other specified obstructed labour O66.9 Obstructed 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`)