TreeWAS – [O03.6] Complete or unspecified, complicated by delayed or excessive haemorrhage

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
rs17762192 lBF = `2.36343` Chr`1` : `214,125,127`	0.714	0.286	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.290	0.710
rs116234817 lBF = `75.2455` Chr`6` : `31,321,364`	0.709	0.291	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.705	0.295	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.704	0.296	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.703	0.297	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.703	0.297	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.702	0.298	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.702	0.298	0.000
rs2744294 lBF = `25.957` Chr`6` : `25,296,606`	0.702	0.298	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.700	0.300	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.699	0.300	0.000
rs9295984 lBF = `68.201` Chr`6` : `31,317,697`	0.698	0.302	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.698	0.302	0.000
rs3819299 lBF = `73.6171` Chr`6` : `31,322,367`	0.696	0.304	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.695	0.305	0.000
rs13198903 lBF = `81.2939` Chr`6` : `31,344,157`	0.695	0.305	0.000
rs114291795 lBF = `78.0497` Chr`6` : `31,377,640`	0.689	0.310	0.000
rs72660956 lBF = `14.4052` Chr`1` : `25,800,018`	0.689	0.311	0.000
rs116666910 lBF = `89.7108` Chr`6` : `31,327,034`	0.688	0.312	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.687	0.313	0.000
rs72660931 lBF = `10.5803` Chr`1` : `25,752,282`	0.685	0.315	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.685	0.315	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.684	0.316	0.000
rs3997984 lBF = `89.8675` Chr`6` : `31,351,090`	0.683	0.316	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.683	0.316	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.683	0.317	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.680	0.320	0.000
rs116255593 lBF = `80.2296` Chr`6` : `31,412,447`	0.680	0.320	0.000
rs4523128 lBF = `67.5153` Chr`6` : `31,269,382`	0.679	0.321	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.679	0.321	0.000
rs116135464 lBF = `90.0255` Chr`6` : `31,370,984`	0.678	0.322	0.000
rs2394967 lBF = `67.3079` Chr`6` : `31,269,129`	0.677	0.322	0.000
rs152784 lBF = `14.4221` Chr`5` : `132,772,431`	0.677	0.323	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.675	0.325	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.674	0.326	0.000
rs114215172 lBF = `73.1539` Chr`6` : `31,381,062`	0.674	0.326	0.000
rs13202464 lBF = `83.2155` Chr`6` : `31,344,583`	0.673	0.327	0.000
rs115130140 lBF = `86.1904` Chr`6` : `31,410,537`	0.672	0.328	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.672	0.328	0.000
rs116488202 lBF = `90.3694` Chr`6` : `31,344,916`	0.671	0.329	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.671	0.329	0.000
rs116766359 lBF = `84.5183` Chr`6` : `31,407,133`	0.669	0.331	0.000
rs115999992 lBF = `81.6793` Chr`6` : `31,348,987`	0.666	0.333	0.000
rs115660274 lBF = `85.1031` Chr`6` : `31,409,802`	0.666	0.334	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.665	0.335	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.663	0.336	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.663	0.337	0.000
rs17200414 lBF = `82.2581` Chr`6` : `31,417,136`	0.663	0.337	0.000
rs114399331 lBF = `82.0446` Chr`6` : `31,397,844`	0.663	0.337	0.000
rs4349859 lBF = `84.4382` Chr`6` : `31,365,787`	0.663	0.337	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.660	0.339	0.000
rs115408371 lBF = `85.6133` Chr`6` : `31,426,248`	0.660	0.340	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.659	0.341	0.000
rs115681000 lBF = `85.9973` Chr`6` : `31,388,386`	0.659	0.341	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.659	0.341	0.000
rs45533135 lBF = `73.6781` Chr`6` : `31,430,951`	0.659	0.341	0.000
rs17200400 lBF = `85.1603` Chr`6` : `31,389,923`	0.658	0.342	0.000
rs114842164 lBF = `85.3269` Chr`6` : `31,408,137`	0.657	0.342	0.000
rs115434718 lBF = `86.5377` Chr`6` : `31,398,180`	0.657	0.343	0.000
rs72660929 lBF = `14.2227` Chr`1` : `25,743,428`	0.657	0.343	0.000
rs17206617 lBF = `84.968` Chr`6` : `31,378,640`	0.656	0.344	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.656	0.344	0.000
rs116619302 lBF = `84.8225` Chr`6` : `31,410,274`	0.655	0.345	0.000
rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.655	0.345	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.653	0.347	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.652	0.347	0.000
rs115827739 lBF = `85.2201` Chr`6` : `31,389,208`	0.652	0.348	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.651	0.349	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.646	0.354	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.645	0.354	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.645	0.355	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.642	0.358	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.641	0.359	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.640	0.359	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.640	0.360	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.639	0.361	0.000
rs114849343 lBF = `85.6629` Chr`6` : `31,400,873`	0.638	0.361	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.637	0.363	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.637	0.363	0.000
rs116447526 lBF = `83.1717` Chr`6` : `31,417,995`	0.637	0.363	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.637	0.363	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.636	0.364	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.636	0.364	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.635	0.365	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.634	0.366	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.633	0.366	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.633	0.367	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.631	0.369	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.629	0.371	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.628	0.371	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.628	0.371	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.625	0.375	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.624	0.376	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.623	0.376	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.621	0.379	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.621	0.379	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.621	0.379	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.620	0.379	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.620	0.380	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.616	0.383	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.615	0.385	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.613	0.387	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.612	0.387	0.000
rs116363196 lBF = `73.8343` Chr`6` : `31,405,472`	0.612	0.388	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.612	0.388	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.610	0.390	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.610	0.390	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.610	0.390	0.000
rs114109373 lBF = `78.3793` Chr`6` : `31,381,205`	0.609	0.391	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.609	0.391	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.608	0.391	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.608	0.392	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.607	0.392	0.000
rs12721025 lBF = `1.60152` Chr`11` : `116,706,047`	0.000	0.393	0.607
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.606	0.394	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.606	0.394	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.605	0.395	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.604	0.396	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.600	0.400	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.600	0.400	0.000
rs115326349 lBF = `79.973` Chr`6` : `31,386,518`	0.598	0.402	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.597	0.402	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.597	0.403	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.596	0.404	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.595	0.404	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.594	0.405	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.594	0.405	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.594	0.406	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.593	0.406	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.593	0.407	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.593	0.407	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.592	0.408	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.590	0.410	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.589	0.411	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.588	0.412	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.588	0.412	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.587	0.412	0.000
rs72880536 lBF = `13.1874` Chr`6` : `33,752,386`	0.587	0.413	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.587	0.413	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.586	0.414	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.586	0.414	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.584	0.416	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.584	0.416	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.583	0.416	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.583	0.416	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.583	0.417	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.582	0.418	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.582	0.418	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.581	0.418	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.581	0.419	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.579	0.420	0.000
rs77455275 lBF = `13.8714` Chr`1` : `24,627,899`	0.578	0.421	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.578	0.422	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.576	0.424	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.575	0.424	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.575	0.425	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.575	0.425	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.575	0.425	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.575	0.425	0.000
rs11725957 lBF = `5.87175` Chr`4` : `49,062,892`	0.574	0.426	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.574	0.426	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.574	0.426	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.573	0.427	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.573	0.427	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.573	0.427	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.571	0.428	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.571	0.429	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.571	0.429	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.570	0.429	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.570	0.430	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.568	0.432	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.567	0.433	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.567	0.433	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.566	0.434	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.566	0.434	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.565	0.435	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.565	0.435	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.565	0.435	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.565	0.435	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.564	0.436	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.436	0.564
rs75891606 lBF = `16.6189` Chr`6` : `502,106`	0.563	0.437	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.563	0.437	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.562	0.438	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.561	0.439	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.560	0.440	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.560	0.440	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.559	0.441	0.000
rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.559	0.441	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.558	0.442	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.558	0.442	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.558	0.442	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.557	0.443	0.000
rs114198627 lBF = `18.7376` Chr`6` : `31,195,009`	0.557	0.443	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.556	0.444	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.556	0.444	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.556	0.444	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.555	0.444	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.555	0.445	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.554	0.445	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.554	0.445	0.000
rs870142 lBF = `1.33645` Chr`4` : `4,648,047`	0.554	0.446	0.000
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rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.479	0.521	0.000
rs2910756 lBF = `1.50337` Chr`5` : `37,860,074`	0.479	0.521	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.479	0.521	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.478	0.521	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.478	0.522	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.478	0.522	0.000
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.478	0.522	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.478	0.522	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.478	0.522	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.477	0.523	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.477	0.523	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.477	0.523	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.477	0.523	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.476	0.524	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.476	0.524	0.000
rs17577980 lBF = `23.6531` Chr`6` : `32,359,821`	0.475	0.525	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.474	0.526	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.474	0.526	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.474	0.526	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.474	0.526	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.473	0.526	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.473	0.527	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.473	0.527	0.000
rs114751866 lBF = `13.8639` Chr`6` : `31,210,018`	0.473	0.527	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.473	0.527	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.473	0.527	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.472	0.528	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.472	0.528	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.472	0.528	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.472	0.528	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.471	0.529	0.000
rs115469976 lBF = `49.3561` Chr`6` : `32,986,508`	0.471	0.529	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.471	0.529	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.471	0.529	0.000
rs1910003 lBF = `1.03173` Chr`5` : `125,304,547`	0.470	0.530	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.470	0.530	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.470	0.530	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.470	0.530	0.000
rs16998084 lBF = `5.36261` Chr`21` : `42,471,628`	0.469	0.531	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.469	0.531	0.000
rs3126085 lBF = `0.557465` Chr`1` : `152,300,817`	0.469	0.531	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.469	0.531	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.469	0.531	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.469	0.531	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.469	0.531	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.468	0.531	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.468	0.532	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.468	0.532	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.468	0.532	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.467	0.532	0.000
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.467	0.532	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.467	0.533	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.467	0.533	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.466	0.533	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.466	0.533	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.466	0.534	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.466	0.534	0.000
rs116155186 lBF = `6.15229` Chr`3` : `85,368,819`	0.466	0.534	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.466	0.534	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.465	0.534	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.465	0.535	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.463	0.537	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.463	0.537	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.462	0.537	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.462	0.538	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.462	0.538	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.462	0.538	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.461	0.539	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.461	0.539	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.461	0.539	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.460	0.539	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.460	0.540	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.460	0.540	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.460	0.540	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.460	0.540	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.460	0.540	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.460	0.540	0.000
rs17576670 lBF = `2.56905` Chr`2` : `62,817,019`	0.459	0.540	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.458	0.542	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.458	0.542	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.458	0.542	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.458	0.542	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.457	0.543	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.456	0.544	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.456	0.544	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.456	0.544	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.455	0.545	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.455	0.545	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.455	0.545	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.455	0.545	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.455	0.545	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.454	0.545	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.454	0.546	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.453	0.547	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.453	0.547	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

0.5890

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2730

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7107

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7103

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7016

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6999

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6998

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6810

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6649

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6605

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6590

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6402

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6218

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5960

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5843

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5085

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5056

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5002

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4905

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4868

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4796

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4581

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4517

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4294

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4289

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4149

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3905

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3890

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3889

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3559

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3497

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3374

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3340

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3322

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3251

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3027

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2999

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2993

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2832

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2771

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2681

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2668

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2634

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2467

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2437

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2409

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2385

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2329

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2305

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2239

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2198

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2140

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2051

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2018

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1973

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1888

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1882

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1881

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1859

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1851

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1817

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1696

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1653

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1622

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1559

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1546

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1472

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1468

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1439

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1432

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.1430

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1409

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1402

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1388

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1388

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1360

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1348

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1311

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1307

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1300

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1265

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1247

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1241

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1232

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1225

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1204

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1198

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1183

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1183

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1174

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1162

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1146

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1135

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1129

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1111

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1110

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1092

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1074

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1013

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1007

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0983

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0977

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0966

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0957

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0951

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0922

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0880

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0862

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0858

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0838

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0826

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0810

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0800

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0793

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0788

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0779

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0765

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0756

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0753

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0752

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0747

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0746

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0743

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0742

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0732

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0728

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0712

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0704

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0697

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0688

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0686

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0674

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0670

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0654

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0650

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0645

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0639

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0631

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0623

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0621

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0620

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0614

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0608

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0602

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0599

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0582

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0573

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0564

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0545

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0542

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0536

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0535

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0519

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0512

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0510

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0505

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`)