TreeWAS – [O04.4] Incomplete, without complication

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
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.861	0.139	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.850	0.150	0.000
rs1314913 lBF = `2.73209` Chr`14` : `68,699,594`	0.847	0.153	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.813	0.187	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.813	0.187	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.771	0.229	0.000
rs3819299 lBF = `73.6171` Chr`6` : `31,322,367`	0.763	0.237	0.000
rs116255593 lBF = `80.2296` Chr`6` : `31,412,447`	0.760	0.240	0.000
rs17200414 lBF = `82.2581` Chr`6` : `31,417,136`	0.758	0.241	0.000
rs116766359 lBF = `84.5183` Chr`6` : `31,407,133`	0.754	0.246	0.000
rs114842164 lBF = `85.3269` Chr`6` : `31,408,137`	0.750	0.250	0.000
rs13198903 lBF = `81.2939` Chr`6` : `31,344,157`	0.749	0.251	0.000
rs17200400 lBF = `85.1603` Chr`6` : `31,389,923`	0.747	0.253	0.000
rs115681000 lBF = `85.9973` Chr`6` : `31,388,386`	0.747	0.253	0.000
rs114215172 lBF = `73.1539` Chr`6` : `31,381,062`	0.747	0.253	0.000
rs115434718 lBF = `86.5377` Chr`6` : `31,398,180`	0.746	0.254	0.000
rs115130140 lBF = `86.1904` Chr`6` : `31,410,537`	0.746	0.254	0.000
rs17206617 lBF = `84.968` Chr`6` : `31,378,640`	0.745	0.255	0.000
rs114849343 lBF = `85.6629` Chr`6` : `31,400,873`	0.745	0.255	0.000
rs116619302 lBF = `84.8225` Chr`6` : `31,410,274`	0.744	0.256	0.000
rs115660274 lBF = `85.1031` Chr`6` : `31,409,802`	0.743	0.257	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.741	0.259	0.000
rs152784 lBF = `14.4221` Chr`5` : `132,772,431`	0.739	0.261	0.000
rs115999992 lBF = `81.6793` Chr`6` : `31,348,987`	0.739	0.261	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.737	0.263	0.000
rs115827739 lBF = `85.2201` Chr`6` : `31,389,208`	0.737	0.263	0.000
rs3997984 lBF = `89.8675` Chr`6` : `31,351,090`	0.736	0.264	0.000
rs114399331 lBF = `82.0446` Chr`6` : `31,397,844`	0.733	0.267	0.000
rs116135464 lBF = `90.0255` Chr`6` : `31,370,984`	0.733	0.267	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.733	0.267	0.000
rs116666910 lBF = `89.7108` Chr`6` : `31,327,034`	0.731	0.269	0.000
rs116363196 lBF = `73.8343` Chr`6` : `31,405,472`	0.731	0.269	0.000
rs116488202 lBF = `90.3694` Chr`6` : `31,344,916`	0.729	0.271	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.728	0.272	0.000
rs114291795 lBF = `78.0497` Chr`6` : `31,377,640`	0.726	0.273	0.000
rs116234817 lBF = `75.2455` Chr`6` : `31,321,364`	0.726	0.274	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.726	0.274	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.726	0.274	0.000
rs114109373 lBF = `78.3793` Chr`6` : `31,381,205`	0.725	0.275	0.000
rs9295984 lBF = `68.201` Chr`6` : `31,317,697`	0.724	0.276	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.721	0.279	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.718	0.281	0.000
rs45533135 lBF = `73.6781` Chr`6` : `31,430,951`	0.716	0.284	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.715	0.285	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.709	0.290	0.000
rs17564315 lBF = `2.57146` Chr`2` : `19,958,496`	0.000	0.292	0.708
rs4349859 lBF = `84.4382` Chr`6` : `31,365,787`	0.700	0.300	0.000
rs4523128 lBF = `67.5153` Chr`6` : `31,269,382`	0.697	0.303	0.000
rs2394967 lBF = `67.3079` Chr`6` : `31,269,129`	0.696	0.304	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.690	0.310	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.690	0.310	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.690	0.310	0.000
rs115408371 lBF = `85.6133` Chr`6` : `31,426,248`	0.687	0.313	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.686	0.314	0.000
rs13202464 lBF = `83.2155` Chr`6` : `31,344,583`	0.686	0.314	0.000
rs116447526 lBF = `83.1717` Chr`6` : `31,417,995`	0.684	0.316	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.680	0.320	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.679	0.321	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.677	0.323	0.000
rs115326349 lBF = `79.973` Chr`6` : `31,386,518`	0.676	0.324	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.675	0.325	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.672	0.328	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.668	0.332	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.666	0.334	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.665	0.335	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.664	0.336	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.660	0.340	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.660	0.340	0.000
rs4418214 lBF = `126.263` Chr`6` : `31,391,401`	0.658	0.342	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.657	0.343	0.000
rs9368666 lBF = `20.5229` Chr`6` : `31,229,644`	0.656	0.344	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.655	0.345	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.654	0.346	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.653	0.347	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.653	0.347	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.652	0.347	0.000
rs17762192 lBF = `2.36343` Chr`1` : `214,125,127`	0.651	0.349	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.649	0.351	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.648	0.351	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.648	0.352	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.647	0.353	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.645	0.355	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.641	0.359	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.641	0.359	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.640	0.360	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.638	0.362	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.636	0.364	0.000
rs2894196 lBF = `17.3657` Chr`6` : `31,230,111`	0.635	0.365	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.634	0.366	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.632	0.368	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.631	0.368	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.631	0.369	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.630	0.369	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.630	0.370	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.628	0.372	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.628	0.372	0.000
rs12721025 lBF = `1.60152` Chr`11` : `116,706,047`	0.000	0.372	0.628
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.628	0.372	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.628	0.372	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.626	0.374	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.626	0.374	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.626	0.374	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.623	0.377	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.621	0.379	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.620	0.379	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.620	0.380	0.000
rs11725957 lBF = `5.87175` Chr`4` : `49,062,892`	0.618	0.382	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.617	0.383	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.614	0.386	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.613	0.387	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.613	0.387	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.613	0.387	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.611	0.389	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.610	0.390	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.608	0.392	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.608	0.392	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.607	0.393	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.604	0.396	0.000
rs3172494 lBF = `6.58272` Chr`3` : `48,731,487`	0.604	0.396	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.604	0.396	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.601	0.399	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.601	0.399	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.601	0.399	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.601	0.399	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.600	0.399	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.600	0.400	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.600	0.400	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.600	0.400	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.600	0.400	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.599	0.401	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.598	0.402	0.000
rs72880536 lBF = `13.1874` Chr`6` : `33,752,386`	0.597	0.403	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.596	0.404	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.595	0.405	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.594	0.406	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.592	0.407	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.592	0.408	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.592	0.408	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.590	0.410	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.412	0.588
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.587	0.413	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.586	0.414	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.584	0.416	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.584	0.416	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.584	0.416	0.000
rs114212906 lBF = `61.1046` Chr`6` : `31,391,389`	0.582	0.418	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.582	0.418	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.582	0.418	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.582	0.418	0.000
rs114198627 lBF = `18.7376` Chr`6` : `31,195,009`	0.581	0.418	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.580	0.419	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.579	0.420	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.579	0.421	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.578	0.422	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.577	0.422	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.577	0.423	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.577	0.423	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.575	0.425	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.574	0.426	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.572	0.428	0.000
rs13195210 lBF = `65.5785` Chr`6` : `26,646,521`	0.570	0.430	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.570	0.430	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.569	0.431	0.000
rs9295702 lBF = `66.9967` Chr`6` : `26,634,040`	0.569	0.431	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.569	0.431	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.568	0.431	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.568	0.431	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.568	0.432	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.567	0.433	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.567	0.433	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.566	0.433	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.566	0.434	0.000
rs77455275 lBF = `13.8714` Chr`1` : `24,627,899`	0.565	0.434	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.562	0.438	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.561	0.439	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.560	0.439	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.559	0.440	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.559	0.441	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.559	0.441	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.558	0.442	0.000
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.557	0.443	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.555	0.445	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.554	0.446	0.000
rs114573401 lBF = `14.1938` Chr`6` : `31,192,383`	0.553	0.447	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.552	0.448	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.552	0.448	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.552	0.448	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.551	0.449	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.550	0.450	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.548	0.452	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.547	0.453	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.545	0.454	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.545	0.455	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.545	0.455	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.544	0.456	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.544	0.456	0.000
rs114751866 lBF = `13.8639` Chr`6` : `31,210,018`	0.541	0.458	0.000
rs9393737 lBF = `67.5687` Chr`6` : `26,617,306`	0.541	0.459	0.000
rs113512172 lBF = `16.4938` Chr`21` : `32,718,685`	0.540	0.460	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.540	0.460	0.000
rs6683071 lBF = `15.4088` Chr`1` : `222,923,351`	0.539	0.461	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.539	0.461	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.538	0.462	0.000
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rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.454	0.546	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.454	0.546	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.454	0.546	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.454	0.546	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.453	0.547	0.000
rs7634487 lBF = `11.5118` Chr`3` : `21,580,556`	0.453	0.547	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.453	0.547	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.452	0.548	0.000
rs35292876 lBF = `4.20174` Chr`1` : `196,706,642`	0.452	0.548	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.452	0.548	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.451	0.549	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.451	0.549	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.451	0.549	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.451	0.549	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.450	0.549	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.450	0.549	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.450	0.550	0.000
rs114475062 lBF = `14.2174` Chr`6` : `31,127,745`	0.450	0.550	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.450	0.550	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.450	0.550	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.449	0.551	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.448	0.551	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.448	0.552	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.447	0.553	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.447	0.553	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.447	0.553	0.000
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.447	0.553	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.447	0.553	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.446	0.553	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.446	0.553	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.446	0.554	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.445	0.555	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.445	0.555	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.444	0.556	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.444	0.556	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.444	0.556	0.000
rs181319480 lBF = `9.5655` Chr`3` : `58,793,057`	0.444	0.556	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.443	0.556	0.000
rs55927656 lBF = `6.59531` Chr`1` : `72,392,635`	0.443	0.556	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.442	0.558	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.441	0.559	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.441	0.559	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.440	0.559	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.440	0.560	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.440	0.560	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.439	0.561	0.000
rs181741409 lBF = `4.98731` Chr`6` : `45,157,786`	0.439	0.561	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.439	0.561	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.438	0.562	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.438	0.562	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.438	0.562	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.438	0.562	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.438	0.562	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.437	0.562	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.437	0.562	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.437	0.563	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.437	0.563	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.437	0.563	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.436	0.563	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.429	0.564	0.008
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.436	0.564	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.436	0.564	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.436	0.564	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.436	0.564	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.436	0.564	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.435	0.564	0.000
rs115469976 lBF = `49.3561` Chr`6` : `32,986,508`	0.435	0.564	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.435	0.565	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.435	0.565	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.434	0.566	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.434	0.566	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.434	0.566	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.433	0.567	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.433	0.567	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.433	0.567	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.432	0.567	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.432	0.567	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.432	0.568	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.432	0.568	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.432	0.568	0.000
rs41314643 lBF = `6.56273` Chr`1` : `183,255,908`	0.432	0.568	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.431	0.569	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.431	0.569	0.000
rs11118844 lBF = `1.43161` Chr`1` : `221,910,288`	0.431	0.569	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.430	0.569	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.426	0.570	0.005
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.430	0.570	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.430	0.570	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.430	0.570	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.429	0.570	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.429	0.570	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.429	0.571	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.428	0.572	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.426	0.572	0.002
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.428	0.572	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4093

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.1609

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0721

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9478

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9437

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9195

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9186

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8825

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8789

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8284

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8034

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7881

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7830

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7822

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7552

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7447

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7309

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7301

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7155

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7044

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6810

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6376

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6369

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6367

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6136

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6110

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6056

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5906

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5898

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5842

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5779

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5560

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5556

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5433

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5344

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5322

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5208

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5197

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5083

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5080

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5022

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4834

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4746

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4713

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4675

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4674

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4638

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4612

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4561

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4519

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4439

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4432

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4160

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4146

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4114

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4105

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4102

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4070

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4054

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4052

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4025

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3987

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3986

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3946

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3934

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3924

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3755

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3751

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3579

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3573

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3477

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3452

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3332

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3302

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3302

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3272

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3214

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3112

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3092

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3053

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3019

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3019

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2999

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2982

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2881

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2880

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2869

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2861

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2833

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2809

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2760

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2730

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2728

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2717

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2716

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2647

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2645

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2616

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2613

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2567

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2550

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2549

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2539

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2535

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2320

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2284

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2270

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2269

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2231

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2223

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2173

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2160

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2121

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2111

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2101

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2082

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2081

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2042

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2017

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1901

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1878

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1861

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1848

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1845

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1842

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1841

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1820

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1702

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1695

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1690

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1651

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1619

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1581

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1562

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1500

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1498

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1486

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1441

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1427

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1413

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1389

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1371

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1360

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1275

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1271

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1266

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1180

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1178

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1142

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1090

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1065

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1062

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1054

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1051

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1006

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1002

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0979

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0977

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0970

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0966

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0947

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0931

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0891

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0880

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0822

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0812

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0799

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0760

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0753

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0710

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0710

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0689

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0679

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0661

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0653

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0651

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0571

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0560

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`)