TreeWAS – [S22.00] Fracture of thoracic vertebra (closed)

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
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.878	0.122	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.849	0.151	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.846	0.154	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.842	0.158	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.833	0.167	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.833	0.167	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.833	0.167	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.831	0.169	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.831	0.169	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.818	0.182	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.816	0.184	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.809	0.191	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.803	0.197	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.802	0.198	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.800	0.200	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.799	0.201	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.798	0.202	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.796	0.204	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.796	0.204	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.793	0.207	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.791	0.209	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.777	0.223	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.771	0.229	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.767	0.233	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.758	0.242	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.754	0.246	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.749	0.251	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.748	0.252	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.745	0.255	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.743	0.257	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.740	0.260	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.740	0.260	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.736	0.264	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.730	0.270	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.727	0.273	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.726	0.274	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.725	0.275	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.725	0.275	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.724	0.276	0.000
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.721	0.279	0.000
rs16875528 lBF = `3.20941` Chr`4` : `24,308,079`	0.719	0.281	0.000
rs55706246 lBF = `2.16084` Chr`21` : `35,595,637`	0.717	0.283	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.716	0.284	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.713	0.287	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.712	0.288	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.710	0.290	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.708	0.292	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.701	0.299	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.699	0.301	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.698	0.302	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.697	0.302	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.695	0.305	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.694	0.306	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.694	0.306	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.691	0.309	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.690	0.310	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.690	0.310	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.689	0.311	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.688	0.312	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.680	0.320	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.679	0.321	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.677	0.323	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.673	0.326	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.671	0.329	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.670	0.330	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.330	0.670
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.668	0.332	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.667	0.333	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.665	0.335	0.000
rs78889204 lBF = `11.4029` Chr`3` : `36,863,059`	0.665	0.335	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.661	0.339	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.659	0.341	0.000
rs17071124 lBF = `2.01665` Chr`6` : `142,033,726`	0.657	0.342	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.656	0.344	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.652	0.347	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.650	0.350	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.649	0.351	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.648	0.352	0.000
rs17504301 lBF = `5.6678` Chr`5` : `123,705,763`	0.644	0.356	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.641	0.359	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.640	0.360	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.638	0.362	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.638	0.362	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.637	0.363	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.635	0.365	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.632	0.368	0.000
rs17032011 lBF = `40.5088` Chr`1` : `114,475,350`	0.632	0.368	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.632	0.368	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.631	0.369	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.627	0.373	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.626	0.374	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.626	0.374	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.626	0.374	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.625	0.374	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.625	0.374	0.000
rs7769061 lBF = `5.03821` Chr`6` : `111,926,909`	0.625	0.375	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.621	0.379	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.621	0.379	0.000
rs3761936 lBF = `60.4266` Chr`1` : `114,449,662`	0.620	0.380	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.620	0.380	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.619	0.381	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.618	0.381	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.616	0.384	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.615	0.385	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.615	0.385	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.614	0.386	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.614	0.386	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.612	0.388	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.610	0.390	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.610	0.390	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.610	0.390	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.609	0.391	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.609	0.391	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.608	0.392	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.608	0.392	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.607	0.393	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.607	0.393	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.606	0.394	0.000
rs6951643 lBF = `0.395377` Chr`7` : `126,429,517`	0.606	0.394	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.604	0.396	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.604	0.396	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.602	0.398	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.601	0.399	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.600	0.400	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.600	0.400	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.600	0.400	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.599	0.401	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.599	0.401	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.599	0.401	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.598	0.402	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.597	0.403	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.596	0.404	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.595	0.405	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.594	0.406	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.594	0.406	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.593	0.407	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.593	0.407	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.591	0.409	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.591	0.409	0.000
rs35533335 lBF = `14.4465` Chr`1` : `32,280,369`	0.591	0.409	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.590	0.410	0.000
rs11718454 lBF = `1.63354` Chr`3` : `1,964,639`	0.590	0.410	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.590	0.410	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.587	0.413	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.586	0.413	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.586	0.414	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.586	0.414	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.585	0.415	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.583	0.417	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.582	0.418	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.582	0.418	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.582	0.418	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.582	0.418	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.581	0.419	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.580	0.420	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.580	0.420	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.580	0.420	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.578	0.422	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.578	0.422	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.578	0.422	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.578	0.422	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.578	0.422	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.577	0.423	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.577	0.423	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.576	0.424	0.000
rs7767008 lBF = `72.2367` Chr`6` : `28,630,793`	0.576	0.424	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.573	0.427	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.571	0.429	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.570	0.430	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.570	0.430	0.000
rs114679905 lBF = `9.02093` Chr`3` : `135,418,841`	0.569	0.431	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.569	0.431	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.569	0.431	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.568	0.431	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.568	0.432	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.567	0.433	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.567	0.433	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.567	0.433	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.567	0.433	0.000
rs11552449 lBF = `58.9658` Chr`1` : `114,448,389`	0.567	0.433	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.566	0.434	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.566	0.434	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.565	0.435	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.565	0.435	0.000
rs73052920 lBF = `29.3216` Chr`3` : `37,760,669`	0.565	0.435	0.000
rs76681384 lBF = `14.081` Chr`1` : `231,134,798`	0.564	0.436	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.563	0.437	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.563	0.437	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.562	0.438	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.561	0.439	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.560	0.440	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.560	0.440	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.559	0.441	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.559	0.441	0.000
Affx-4564118 lBF = `58.8162` Chr`1` : `114,448,389`	0.557	0.443	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.557	0.443	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.556	0.443	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.556	0.444	0.000
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.555	0.445	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.554	0.446	0.000
rs117535166 lBF = `1.25676` Chr`18` : `68,069,271`	0.554	0.446	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.550	0.450	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.549	0.451	0.000
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rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.470	0.530	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.470	0.530	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.470	0.530	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.469	0.530	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.469	0.530	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.469	0.531	0.000
rs57740770 lBF = `14.7225` Chr`6` : `32,067,435`	0.469	0.531	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.468	0.532	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.468	0.532	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.468	0.532	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.467	0.533	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.467	0.533	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.467	0.533	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.467	0.533	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.467	0.533	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.467	0.533	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.466	0.533	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.466	0.534	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.466	0.534	0.000
rs78979090 lBF = `0.862664` Chr`5` : `119,679,448`	0.466	0.534	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.466	0.534	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.465	0.535	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.465	0.535	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.465	0.535	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.465	0.535	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.465	0.535	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.465	0.535	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.464	0.535	0.000
rs28732233 lBF = `67.2768` Chr`6` : `32,427,699`	0.464	0.536	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.464	0.536	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.464	0.536	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.464	0.536	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.463	0.537	0.000
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.463	0.537	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.462	0.537	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.462	0.538	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.462	0.538	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.462	0.538	0.000
rs6903496 lBF = `12.807` Chr`6` : `31,352,774`	0.462	0.538	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.461	0.539	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.461	0.539	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.461	0.539	0.000
rs3176471 lBF = `0.623485` Chr`1` : `51,439,456`	0.461	0.539	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.461	0.539	0.000
rs2358994 lBF = `56.0385` Chr`1` : `114,429,461`	0.461	0.539	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.460	0.539	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.460	0.540	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.459	0.540	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.459	0.541	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.459	0.541	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.459	0.541	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.459	0.541	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.459	0.541	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.459	0.541	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.459	0.541	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.459	0.541	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.458	0.542	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.458	0.542	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.458	0.542	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.458	0.542	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.458	0.542	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.457	0.542	0.000
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.457	0.543	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.457	0.543	0.000
rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.456	0.543	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.457	0.543	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.456	0.544	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.456	0.544	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.456	0.544	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.455	0.545	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.455	0.545	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.455	0.545	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.455	0.545	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.454	0.545	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.454	0.546	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.454	0.546	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.453	0.547	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.453	0.547	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.453	0.547	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.453	0.547	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.452	0.548	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.452	0.548	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.452	0.548	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.452	0.548	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.452	0.548	0.000
rs7775861 lBF = `0.594125` Chr`6` : `51,068,717`	0.451	0.549	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.451	0.549	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.451	0.549	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.451	0.549	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.451	0.549	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.451	0.549	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.450	0.549	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.450	0.550	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.450	0.550	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.450	0.550	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5758

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3728

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2196

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9819

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9792

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9764

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9654

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9554

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9420

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9167

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9010

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8950

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8788

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8669

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8595

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8355

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8279

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8273

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8237

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8233

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8175

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7998

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7986

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7708

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7354

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7071

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7071

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6767

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6705

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6655

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6232

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6229

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6069

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5921

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5844

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5739

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5675

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5592

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5478

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5321

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5293

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5106

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5064

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5038

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4848

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4837

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4744

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4713

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4702

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4681

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4679

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4641

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4567

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.4512

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4323

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4241

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4232

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4101

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4032

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4004

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3900

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3805

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.3704

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3701

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3691

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3657

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3631

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3622

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3581

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3570

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3503

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3446

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3296

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3286

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3181

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3080

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3075

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3032

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2945

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2816

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2767

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2749

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2741

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2692

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2672

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2618

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2514

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2466

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2350

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2299

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2221

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2206

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2160

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2019

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1949

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1902

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1810

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1802

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1674

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1652

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1644

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1534

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1515

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1482

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1435

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1332

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1280

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1276

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1250

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1249

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1234

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1220

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1219

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1218

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1189

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1182

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1178

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1161

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1090

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1037

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1021

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1010

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0980

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0906

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0902

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0895

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0889

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0886

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0883

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0810

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0773

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0756

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0719

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0713

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0694

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0648

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0641

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0623

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0598

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0562

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0547

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0540

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0537

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`)