TreeWAS – [J98.5] Diseases of mediastinum, not elsewhere classified

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
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.829	0.171	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.820	0.180	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.814	0.186	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.810	0.190	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.809	0.190	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.809	0.191	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.807	0.193	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.793	0.207	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.788	0.212	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.785	0.215	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.784	0.216	0.000
rs72960692 lBF = `13.056` Chr`1` : `43,467,276`	0.771	0.229	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.766	0.234	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.762	0.238	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.760	0.240	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.759	0.241	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.756	0.244	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.754	0.245	0.000
rs13210382 lBF = `7.7697` Chr`6` : `18,326,873`	0.753	0.247	0.000
rs16984718 lBF = `4.60309` Chr`2` : `18,509,254`	0.750	0.250	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.744	0.256	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.738	0.262	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.734	0.266	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.732	0.268	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.729	0.270	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.726	0.274	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.725	0.275	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.721	0.279	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.719	0.281	0.000
rs7775228 lBF = `52.346` Chr`6` : `32,658,079`	0.000	0.281	0.719
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.715	0.285	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.715	0.285	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.715	0.285	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.715	0.285	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.714	0.286	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.714	0.286	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.713	0.287	0.000
rs532965 lBF = `522.853` Chr`6` : `32,577,973`	0.712	0.288	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.712	0.288	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.711	0.289	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.710	0.290	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.709	0.291	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.709	0.291	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.708	0.291	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.708	0.292	0.000
rs3104413 lBF = `510.724` Chr`6` : `32,582,650`	0.708	0.292	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.707	0.293	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.707	0.293	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.706	0.294	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.706	0.294	0.000
rs2517544 lBF = `195.736` Chr`6` : `31,009,508`	0.705	0.295	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.704	0.296	0.000
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.703	0.296	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.701	0.298	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.701	0.299	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.701	0.299	0.000
rs112996116 lBF = `5.48142` Chr`3` : `132,260,187`	0.701	0.299	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.700	0.300	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.700	0.300	0.000
rs3130283 lBF = `157.559` Chr`6` : `32,138,545`	0.000	0.301	0.699
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.699	0.301	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.698	0.301	0.000
rs114266608 lBF = `12.9331` Chr`3` : `7,233,078`	0.698	0.302	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.698	0.302	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.697	0.303	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.697	0.303	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.697	0.303	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.696	0.304	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.695	0.305	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.694	0.306	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.694	0.306	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.693	0.306	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.692	0.308	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.692	0.308	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.692	0.308	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.691	0.309	0.000
rs3806175 lBF = `11.6012` Chr`1` : `87,793,730`	0.690	0.310	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.690	0.310	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.688	0.311	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.688	0.312	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.687	0.312	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.687	0.313	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.687	0.313	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.686	0.313	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.686	0.314	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.684	0.315	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.684	0.316	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.684	0.316	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.684	0.316	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.683	0.317	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.683	0.317	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.682	0.318	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.681	0.319	0.000
rs114164869 lBF = `6.47754` Chr`2` : `22,613,679`	0.681	0.319	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.680	0.320	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.679	0.321	0.000
rs115244944 lBF = `18.0031` Chr`1` : `5,826,134`	0.679	0.321	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.679	0.321	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.679	0.321	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.678	0.322	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.678	0.322	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.677	0.323	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.677	0.323	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.676	0.324	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.676	0.324	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.676	0.324	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.676	0.324	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.676	0.324	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.675	0.325	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.674	0.326	0.000
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	0.674	0.326	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.673	0.326	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.672	0.327	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.672	0.327	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.671	0.328	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.671	0.329	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.671	0.329	0.000
rs11755266 lBF = `10.3238` Chr`6` : `35,162,141`	0.671	0.329	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.671	0.329	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.671	0.329	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.671	0.329	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.671	0.329	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.670	0.330	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.670	0.330	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.669	0.331	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.669	0.331	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.668	0.332	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.668	0.332	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.668	0.332	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.667	0.333	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.667	0.333	0.000
rs79616469 lBF = `11.2572` Chr`2` : `48,875,108`	0.666	0.333	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.666	0.334	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.666	0.334	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.666	0.334	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.665	0.335	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.665	0.335	0.000
rs9467714 lBF = `110.852` Chr`6` : `26,340,785`	0.664	0.336	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.664	0.336	0.000
rs72677908 lBF = `12.809` Chr`1` : `62,462,325`	0.662	0.338	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.662	0.338	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.661	0.339	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.661	0.339	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.660	0.340	0.000
rs72703193 lBF = `5.14866` Chr`5` : `914,309`	0.660	0.340	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.660	0.340	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.659	0.341	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.659	0.341	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.659	0.341	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.659	0.341	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.658	0.342	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.658	0.342	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.657	0.343	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.656	0.343	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.656	0.344	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.656	0.344	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.656	0.344	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.655	0.345	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.655	0.345	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.654	0.346	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.654	0.346	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.654	0.346	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.654	0.346	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.653	0.347	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.652	0.347	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.652	0.347	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.652	0.348	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.652	0.348	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.652	0.348	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.651	0.349	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.650	0.350	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.650	0.350	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.649	0.350	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.649	0.351	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.648	0.351	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.648	0.351	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.648	0.352	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.648	0.352	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.647	0.353	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.645	0.355	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.645	0.355	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.644	0.356	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.644	0.356	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.644	0.356	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.644	0.356	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.644	0.356	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.643	0.356	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.643	0.357	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.642	0.358	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.641	0.359	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.641	0.359	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.640	0.360	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.640	0.360	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.640	0.360	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.640	0.360	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.639	0.361	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.639	0.361	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.639	0.361	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.638	0.361	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.638	0.362	0.000
rs6934690 lBF = `14.5953` Chr`6` : `54,054,686`	0.637	0.363	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.636	0.364	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.636	0.364	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.636	0.364	0.000
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rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.577	0.422	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.577	0.423	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.577	0.423	0.000
rs6671200 lBF = `2.78699` Chr`1` : `95,697,529`	0.576	0.423	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.576	0.424	0.000
rs3134943 lBF = `147.398` Chr`6` : `32,147,761`	0.000	0.424	0.576
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.576	0.424	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.576	0.424	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.576	0.424	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.575	0.424	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.575	0.425	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.575	0.425	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.575	0.425	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.574	0.426	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.574	0.426	0.000
rs73336408 lBF = `8.76344` Chr`21` : `23,343,776`	0.574	0.426	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.573	0.426	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.573	0.427	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.572	0.428	0.000
rs79987207 lBF = `5.41608` Chr`9` : `100,963,977`	0.572	0.428	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.572	0.428	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.572	0.428	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.572	0.428	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.572	0.428	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.571	0.429	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.571	0.429	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.571	0.429	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.570	0.430	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.570	0.430	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.569	0.430	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.569	0.430	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.569	0.431	0.000
rs34250758 lBF = `518.249` Chr`6` : `32,607,376`	0.569	0.431	0.000
rs17024258 lBF = `12.5991` Chr`1` : `110,147,321`	0.568	0.432	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.567	0.433	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.567	0.433	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.567	0.433	0.000
rs79143957 lBF = `12.6617` Chr`3` : `23,125,989`	0.567	0.433	0.000
rs17023661 lBF = `2.09285` Chr`3` : `86,968,509`	0.567	0.433	0.000
rs80123541 lBF = `17.2266` Chr`6` : `110,354,662`	0.567	0.433	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.566	0.433	0.000
rs13198474 lBF = `116.097` Chr`6` : `25,874,423`	0.566	0.434	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.565	0.435	0.000
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	0.000	0.435	0.565
rs41268924 lBF = `83.3592` Chr`6` : `32,135,137`	0.565	0.435	0.000
rs115578729 lBF = `6.02631` Chr`1` : `249,125,649`	0.564	0.436	0.000
rs9269910 lBF = `215.553` Chr`6` : `32,551,350`	0.000	0.436	0.564
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.564	0.436	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.564	0.436	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.563	0.437	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.563	0.437	0.000
rs77622929 lBF = `6.08434` Chr`11` : `50,634,946`	0.562	0.438	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.562	0.438	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.562	0.438	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.562	0.438	0.000
rs7745040 lBF = `331.674` Chr`6` : `32,664,332`	0.562	0.438	0.000
rs9271367 lBF = `258.737` Chr`6` : `32,586,908`	0.000	0.439	0.561
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.561	0.439	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.561	0.439	0.000
rs3130342 lBF = `152.971` Chr`6` : `32,080,146`	0.000	0.439	0.561
rs139659694 lBF = `6.68133` Chr`11` : `51,108,240`	0.560	0.439	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.560	0.440	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.560	0.440	0.000
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	0.000	0.441	0.559
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.559	0.441	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.559	0.441	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.559	0.441	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.558	0.441	0.000
rs28383346 lBF = `95.8386` Chr`6` : `32,605,326`	0.000	0.442	0.558
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.558	0.442	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.558	0.442	0.000
rs114892859 lBF = `25.3426` Chr`6` : `31,369,278`	0.557	0.442	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.557	0.442	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.557	0.443	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.556	0.444	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.556	0.444	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.556	0.444	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.556	0.444	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.555	0.445	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.555	0.445	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.555	0.445	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.555	0.445	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.554	0.445	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.554	0.446	0.000
rs9271683 lBF = `209.106` Chr`6` : `32,592,950`	0.000	0.446	0.554
rs41268928 lBF = `83.8648` Chr`6` : `32,147,157`	0.554	0.446	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.553	0.447	0.000
rs183120114 lBF = `17.345` Chr`6` : `31,352,678`	0.552	0.448	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.552	0.448	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.552	0.448	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.551	0.449	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.551	0.449	0.000
rs11230874 lBF = `4.32584` Chr`11` : `61,795,586`	0.551	0.449	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.550	0.450	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.550	0.450	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

0.4198

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1296

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9896

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9763

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9404

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9304

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9181

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8999

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8700

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8678

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8663

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8519

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8497

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8365

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8210

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8189

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8167

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8091

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8081

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7978

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7973

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7929

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7916

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7911

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7856

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7814

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7796

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7728

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7699

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7635

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7539

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7279

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7270

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7192

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7168

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7167

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7166

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7164

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7160

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7159

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7158

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7156

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7153

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7150

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7149

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7149

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7138

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7107

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7106

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7104

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7090

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7083

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7071

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7048

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7048

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7045

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7045

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7032

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7023

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7021

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7009

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6954

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6938

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6934

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6900

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6886

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6836

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6827

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6790

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6785

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6773

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6698

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6602

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6552

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6484

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6464

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6409

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6316

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6303

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6262

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6220

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6192

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6136

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6042

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6040

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6031

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5968

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5920

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5899

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5763

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5742

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5733

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5656

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5639

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5543

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5511

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5494

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5447

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5395

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5371

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5356

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5315

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5303

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5200

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5130

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5118

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5048

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4950

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4872

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4804

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4777

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4759

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4745

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4731

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4509

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4373

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4371

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4301

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4275

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4213

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4163

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4051

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3974

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3742

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3689

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3632

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3553

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3376

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3262

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3262

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3241

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3235

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3200

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3049

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3048

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3037

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2986

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2901

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2893

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2750

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2746

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2712

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2701

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2657

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2598

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2594

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2527

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2294

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2242

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2236

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2213

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2192

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2174

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2167

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2050

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2017

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2016

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1962

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1883

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1879

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1837

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1733

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1726

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1656

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1644

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1639

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1489

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1473

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1370

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1351

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1342

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1331

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1303

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1267

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1207

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1050

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1034

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1009

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0963

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0880

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0804

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0758

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0701

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.0653

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0631

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0628

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0508

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`)