TreeWAS – [O69.1] Labour and delivery complicated by cord around neck, with compression

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
rs9284954 lBF = `1.46178` Chr`4` : `176,648,332`	0.965	0.035	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.962	0.038	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	0.093	0.907
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.906	0.094	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.879	0.121	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.871	0.129	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.864	0.136	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.857	0.143	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.842	0.158	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.835	0.165	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.834	0.166	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.830	0.170	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.829	0.171	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.828	0.172	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.822	0.178	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.821	0.179	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.818	0.182	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.817	0.183	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.814	0.186	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.812	0.188	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.811	0.189	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.809	0.191	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.807	0.193	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.806	0.194	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.804	0.196	0.000
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.802	0.198	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.801	0.199	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.793	0.207	0.000
rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.793	0.207	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.793	0.207	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.790	0.210	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.787	0.213	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.779	0.220	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.776	0.223	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.773	0.227	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.772	0.228	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.768	0.232	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.767	0.233	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.767	0.233	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.767	0.233	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.764	0.236	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.764	0.236	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.756	0.244	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.754	0.246	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.754	0.246	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.752	0.248	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.752	0.248	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.752	0.248	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.749	0.251	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.749	0.251	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.749	0.251	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.744	0.256	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.257	0.743
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.742	0.258	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.738	0.262	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.733	0.267	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.731	0.269	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.730	0.270	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.728	0.272	0.000
rs117377944 lBF = `9.01444` Chr`6` : `113,901,414`	0.728	0.272	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.727	0.273	0.000
rs10511052 lBF = `1.92327` Chr`3` : `76,725,903`	0.726	0.274	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.724	0.276	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.720	0.280	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.720	0.280	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.282	0.717
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.716	0.284	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.713	0.287	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.713	0.287	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.710	0.290	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.710	0.290	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.709	0.291	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.707	0.293	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.706	0.294	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.704	0.296	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.702	0.298	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.701	0.299	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.700	0.300	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.700	0.300	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.699	0.301	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.699	0.301	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.698	0.302	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.698	0.302	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.697	0.303	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.697	0.303	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.695	0.305	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.695	0.305	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.694	0.306	0.000
rs13199772 lBF = `176.085` Chr`6` : `27,834,085`	0.694	0.306	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.692	0.307	0.000
rs17207986 lBF = `30.3956` Chr`6` : `32,079,567`	0.690	0.310	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.690	0.310	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.690	0.310	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.688	0.312	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.688	0.312	0.000
rs79436609 lBF = `1.9732` Chr`3` : `140,417,446`	0.688	0.312	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.687	0.313	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.687	0.313	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.684	0.316	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.684	0.316	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.680	0.320	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.678	0.322	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.678	0.322	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.677	0.323	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.677	0.323	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.676	0.324	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.676	0.324	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.675	0.324	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.675	0.325	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.674	0.326	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.672	0.328	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.672	0.328	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.669	0.330	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.669	0.331	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.667	0.333	0.000
rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.666	0.334	0.000
rs4376071 lBF = `0.620637` Chr`3` : `32,264,991`	0.666	0.334	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.665	0.335	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.665	0.335	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.664	0.336	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.661	0.339	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.659	0.341	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.658	0.342	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.658	0.342	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.657	0.342	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.657	0.343	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.657	0.343	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.656	0.344	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.655	0.345	0.000
rs1805128 lBF = `7.21284` Chr`21` : `35,821,680`	0.654	0.346	0.000
rs13194781 lBF = `178.016` Chr`6` : `27,815,639`	0.654	0.346	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.654	0.346	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.654	0.346	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.653	0.347	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.652	0.348	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.649	0.351	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.649	0.351	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.648	0.352	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.648	0.352	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.647	0.353	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.645	0.355	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.644	0.356	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.643	0.357	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.643	0.357	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.641	0.359	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.641	0.359	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.641	0.359	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.640	0.360	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.639	0.360	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.638	0.361	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.638	0.362	0.000
rs76024631 lBF = `30.2245` Chr`6` : `32,088,988`	0.637	0.362	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.637	0.363	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.637	0.363	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.637	0.363	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.637	0.363	0.000
rs13196552 lBF = `92.1189` Chr`6` : `25,974,204`	0.636	0.364	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.636	0.364	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.635	0.365	0.000
rs6698528 lBF = `13.1015` Chr`1` : `193,503,444`	0.635	0.365	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.635	0.365	0.000
rs10998035 lBF = `0.487248` Chr`10` : `70,014,230`	0.635	0.365	0.000
rs72955118 lBF = `14.2942` Chr`3` : `71,869,056`	0.634	0.365	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.634	0.365	0.000
rs111561475 lBF = `1.31769` Chr`11` : `21,956,958`	0.633	0.366	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.633	0.367	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.633	0.367	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.632	0.367	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.631	0.369	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.630	0.370	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.630	0.370	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.630	0.370	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.629	0.371	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.628	0.371	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.628	0.372	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.627	0.372	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.627	0.373	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.373	0.627
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.374	0.626
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.626	0.374	0.000
rs12188351 lBF = `0.905107` Chr`5` : `168,386,089`	0.000	0.374	0.626
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.624	0.376	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.623	0.376	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.623	0.377	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.621	0.379	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.620	0.379	0.000
rs13200797 lBF = `98.3608` Chr`6` : `26,122,957`	0.620	0.380	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.620	0.380	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.619	0.381	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.618	0.382	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.618	0.382	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.618	0.382	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.618	0.382	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.616	0.384	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.615	0.385	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.614	0.386	0.000
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.386	0.614
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.613	0.387	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.612	0.388	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.612	0.388	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.612	0.388	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.611	0.389	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.610	0.389	0.000
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rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.530	0.469	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.530	0.470	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.530	0.470	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.530	0.470	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.530	0.470	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.530	0.470	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.529	0.470	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.529	0.470	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.529	0.471	0.000
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.529	0.471	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.528	0.471	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.528	0.472	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.528	0.472	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.528	0.472	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.527	0.472	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.527	0.473	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.527	0.473	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.527	0.473	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.526	0.474	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.525	0.475	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.525	0.475	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.525	0.475	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.525	0.475	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.524	0.476	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.524	0.476	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.524	0.476	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.524	0.476	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.524	0.476	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.524	0.476	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.524	0.476	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.524	0.476	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.524	0.476	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.524	0.476	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.523	0.476	0.000
rs9835928 lBF = `17.3241` Chr`3` : `114,296,725`	0.523	0.477	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.523	0.477	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.523	0.477	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.523	0.477	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.522	0.478	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.522	0.478	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.522	0.478	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.521	0.478	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.522	0.478	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.521	0.479	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.521	0.479	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.521	0.479	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.520	0.479	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.520	0.479	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.520	0.480	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.520	0.480	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.520	0.480	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.520	0.480	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.520	0.480	0.000
rs114573401 lBF = `14.1938` Chr`6` : `31,192,383`	0.520	0.480	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.520	0.480	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.519	0.481	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.519	0.481	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.518	0.482	0.000
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.518	0.482	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.518	0.482	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.518	0.482	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.518	0.482	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.517	0.482	0.000
rs12085650 lBF = `5.18612` Chr`1` : `31,490,096`	0.000	0.483	0.517
rs13195040 lBF = `183.66` Chr`6` : `27,413,924`	0.517	0.483	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.517	0.483	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.517	0.483	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.517	0.483	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.517	0.483	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.516	0.483	0.000
rs17006842 lBF = `1.77826` Chr`3` : `70,259,702`	0.516	0.484	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.516	0.484	0.000
rs17719439 lBF = `0.392579` Chr`12` : `116,211,863`	0.516	0.484	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.516	0.484	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.515	0.484	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.515	0.485	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.515	0.485	0.000
rs12804815 lBF = `1.71775` Chr`11` : `27,453,729`	0.515	0.485	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.515	0.485	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.514	0.486	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.514	0.486	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.514	0.486	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.514	0.486	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.513	0.487	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.513	0.487	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.513	0.487	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.513	0.487	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.513	0.487	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.513	0.487	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.513	0.487	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.512	0.488	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.512	0.488	0.000
rs17004598 lBF = `2.6091` Chr`21` : `45,078,556`	0.512	0.488	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.512	0.488	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.512	0.488	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.512	0.488	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

0.9696

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3624

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9956

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9924

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9750

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9575

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9566

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9216

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9166

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9097

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8796

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8741

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.8721

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8592

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8532

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8469

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8417

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8335

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8313

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8261

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8009

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7967

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7926

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7890

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7781

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7724

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7698

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7688

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7636

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7626

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7596

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7559

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7507

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7500

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7386

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7377

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7371

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7343

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7335

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7316

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7221

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7194

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7089

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7072

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7056

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7028

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6969

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6873

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6843

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6793

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6770

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6723

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6715

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6633

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6306

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6264

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6221

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6054

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6001

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5981

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5981

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5930

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5921

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5796

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5790

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5727

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5548

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5546

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5482

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5462

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5400

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5281

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5273

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5253

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5251

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5227

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5092

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5073

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4898

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4865

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4758

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4685

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4582

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4439

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4371

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4359

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4330

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4272

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4271

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3947

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3861

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3838

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3801

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3736

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3711

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3458

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3392

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3245

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3174

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3131

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3102

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3089

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3065

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2867

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2862

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2857

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2799

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2683

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2659

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2653

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2650

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2596

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2519

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2415

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2316

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1976

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1973

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1955

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1937

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1917

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1902

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1841

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1782

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1687

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1648

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1630

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1626

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1619

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1552

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1464

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1452

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1448

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1370

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1339

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1319

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1297

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1025

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0970

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0918

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0916

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0914

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0914

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0799

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0766

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0696

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0677

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0674

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0666

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0627

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0576

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0575

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0564

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0557

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0503

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)