TreeWAS – [I42.7] Cardiomyopathy due to drugs and other external agents

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
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.806	0.194	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.762	0.238	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.756	0.244	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.749	0.251	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.732	0.268	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.717	0.283	0.000
rs2234962 lBF = `5.7409` Chr`10` : `121,429,633`	0.000	0.283	0.717
rs6843082 lBF = `86.0876` Chr`4` : `111,718,067`	0.717	0.283	0.000
rs75021220 lBF = `47.1082` Chr`4` : `111,658,394`	0.716	0.284	0.000
rs17042081 lBF = `59.9223` Chr`4` : `111,653,211`	0.715	0.285	0.000
rs294914 lBF = `3.44115` Chr`6` : `159,629,045`	0.000	0.285	0.715
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.715	0.285	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.715	0.285	0.000
rs73008782 lBF = `8.48892` Chr`6` : `145,689,914`	0.715	0.285	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.715	0.285	0.000
rs6817105 lBF = `64.6903` Chr`4` : `111,705,768`	0.715	0.285	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.714	0.286	0.000
rs2200733 lBF = `66.0925` Chr`4` : `111,710,169`	0.714	0.286	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.714	0.286	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.714	0.286	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.713	0.286	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.713	0.287	0.000
rs77170649 lBF = `7.49398` Chr`6` : `135,010,546`	0.712	0.288	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.711	0.289	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.711	0.289	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.711	0.289	0.000
rs17750460 lBF = `8.95898` Chr`21` : `30,745,615`	0.711	0.289	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.710	0.290	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.709	0.291	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	0.291	0.709
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.708	0.292	0.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	0.707	0.292	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.707	0.292	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.707	0.293	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.707	0.293	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.707	0.293	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.707	0.293	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.706	0.294	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.704	0.295	0.000
rs115384415 lBF = `15.8504` Chr`1` : `95,333,551`	0.704	0.296	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.704	0.296	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.703	0.296	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.703	0.297	0.000
rs9488238 lBF = `2.8638` Chr`6` : `114,017,133`	0.702	0.298	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.702	0.298	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.702	0.298	0.000
rs13185878 lBF = `9.20221` Chr`5` : `127,962,298`	0.702	0.298	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.701	0.298	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.701	0.298	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.700	0.300	0.000
rs2854050 lBF = `78.2612` Chr`6` : `32,185,605`	0.700	0.300	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.700	0.300	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.700	0.300	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.700	0.300	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.699	0.301	0.000
rs112049532 lBF = `8.33656` Chr`18` : `11,234,574`	0.000	0.301	0.699
rs55968350 lBF = `15.4456` Chr`3` : `126,904,733`	0.698	0.302	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.698	0.302	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.697	0.302	0.000
rs17615906 lBF = `13.0692` Chr`5` : `128,018,413`	0.697	0.303	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.696	0.304	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.696	0.304	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.696	0.304	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.695	0.305	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.695	0.305	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.695	0.305	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.695	0.305	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.694	0.306	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.693	0.307	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.693	0.307	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.692	0.308	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.692	0.308	0.000
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.692	0.308	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.692	0.308	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.692	0.308	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.692	0.308	0.000
rs2634074 lBF = `82.5116` Chr`4` : `111,677,041`	0.000	0.309	0.691
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.691	0.309	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.690	0.310	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.689	0.310	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.689	0.311	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.689	0.311	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.688	0.312	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.687	0.313	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.687	0.313	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.687	0.313	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.686	0.314	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.686	0.314	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.685	0.314	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.685	0.315	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.685	0.315	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.685	0.315	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.685	0.315	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.684	0.316	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.684	0.316	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.684	0.316	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.684	0.316	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.683	0.317	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.683	0.317	0.000
rs10493807 lBF = `10.1493` Chr`1` : `88,622,731`	0.683	0.317	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.683	0.317	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.682	0.317	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.682	0.317	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.682	0.318	0.000
rs2845885 lBF = `4.30722` Chr`11` : `63,869,062`	0.000	0.319	0.680
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.680	0.320	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.680	0.320	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.679	0.320	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.679	0.321	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.678	0.322	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.678	0.322	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.678	0.322	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.678	0.322	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.678	0.322	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.677	0.322	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.677	0.323	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.677	0.323	0.000
rs17744121 lBF = `5.69352` Chr`21` : `30,713,598`	0.676	0.323	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.676	0.324	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.676	0.324	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.676	0.324	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.676	0.324	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.675	0.324	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.675	0.325	0.000
rs13210382 lBF = `7.7697` Chr`6` : `18,326,873`	0.675	0.325	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.675	0.325	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.675	0.325	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.674	0.326	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.674	0.326	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.674	0.326	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.674	0.326	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.673	0.326	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.673	0.327	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.673	0.327	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.671	0.329	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.670	0.330	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.669	0.330	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.669	0.331	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.669	0.331	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.668	0.331	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.668	0.332	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.668	0.332	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.668	0.332	0.000
rs17650401 lBF = `1.7716` Chr`4` : `24,375,833`	0.000	0.332	0.668
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.667	0.333	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.667	0.333	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.667	0.333	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.667	0.333	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.666	0.334	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.666	0.334	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.666	0.334	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.666	0.334	0.000
rs8192575 lBF = `77.0171` Chr`6` : `32,166,384`	0.666	0.334	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.665	0.335	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.665	0.335	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.665	0.335	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.665	0.335	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.665	0.335	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.665	0.335	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.665	0.335	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.664	0.336	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.664	0.336	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.664	0.336	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.664	0.336	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.664	0.336	0.000
rs2555469 lBF = `76.5082` Chr`6` : `32,179,494`	0.663	0.337	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.663	0.337	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.662	0.337	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.662	0.338	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.662	0.338	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.662	0.338	0.000
rs7550711 lBF = `14.669` Chr`1` : `110,082,886`	0.662	0.338	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.662	0.338	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.662	0.338	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.660	0.339	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.660	0.340	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.660	0.340	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.660	0.340	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.659	0.340	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.659	0.341	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.659	0.341	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.658	0.341	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.658	0.342	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.658	0.342	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.657	0.343	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.657	0.343	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.657	0.343	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.656	0.343	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.656	0.344	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.656	0.344	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.656	0.344	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.655	0.345	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.654	0.345	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.654	0.346	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.654	0.346	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.654	0.346	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.654	0.346	0.000
rs80123541 lBF = `17.2266` Chr`6` : `110,354,662`	0.654	0.346	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.653	0.346	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.653	0.347	0.000
rs41265930 lBF = `11.9369` Chr`6` : `160,964,135`	0.000	0.347	0.653
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.653	0.347	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.653	0.347	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.653	0.347	0.000
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rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.611	0.389	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.610	0.390	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.610	0.390	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.610	0.390	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.609	0.390	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.609	0.390	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.609	0.391	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.609	0.391	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.609	0.391	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.609	0.391	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.609	0.391	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.608	0.392	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.608	0.392	0.000
rs55754459 lBF = `43.0914` Chr`6` : `161,551,176`	0.608	0.392	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.608	0.392	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.607	0.392	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.607	0.393	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.607	0.393	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.607	0.393	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.606	0.393	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.606	0.394	0.000
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.606	0.394	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.606	0.394	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.605	0.394	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.605	0.394	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.605	0.395	0.000
rs78165376 lBF = `8.53544` Chr`3` : `177,552,699`	0.605	0.395	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.605	0.395	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.605	0.395	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.605	0.395	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.605	0.395	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.605	0.395	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.605	0.395	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.604	0.396	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.604	0.396	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.603	0.396	0.000
rs114995475 lBF = `14.7357` Chr`6` : `52,453,912`	0.603	0.396	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.603	0.396	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.603	0.397	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.603	0.397	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.602	0.398	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.601	0.398	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.600	0.399	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.600	0.400	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.599	0.400	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.598	0.402	0.000
rs73134752 lBF = `11.2492` Chr`3` : `85,437,738`	0.598	0.402	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.598	0.402	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.598	0.402	0.000
rs629001 lBF = `14.3666` Chr`1` : `109,838,918`	0.000	0.402	0.598
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.597	0.402	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.597	0.402	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.597	0.403	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.597	0.403	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.596	0.403	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.596	0.404	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.596	0.404	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.596	0.404	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.596	0.404	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.596	0.404	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.596	0.404	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.596	0.404	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.595	0.404	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.595	0.404	0.000
rs17628203 lBF = `26.8212` Chr`6` : `161,682,569`	0.595	0.405	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.595	0.405	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.595	0.405	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.594	0.406	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.594	0.406	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.593	0.407	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.593	0.407	0.000
rs188135659 lBF = `15.5868` Chr`3` : `19,839,062`	0.593	0.407	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.593	0.407	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.592	0.407	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.592	0.407	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.592	0.408	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.591	0.409	0.000
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.591	0.409	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.591	0.409	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.591	0.409	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.591	0.409	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.591	0.409	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.591	0.409	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.590	0.409	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.590	0.410	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.590	0.410	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.590	0.410	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.590	0.410	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.590	0.410	0.000
rs75803315 lBF = `6.95989` Chr`6` : `54,030,352`	0.590	0.410	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.590	0.410	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.590	0.410	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.590	0.410	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.590	0.410	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.7169

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3582

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.3258

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2560

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8038

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7650

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7169

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7169

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7169

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7169

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7169

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7169

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7169

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7169

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7168

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7168

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7168

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7167

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.7166

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7166

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7164

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7164

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7164

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7163

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7162

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7162

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7161

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7159

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7152

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7144

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7142

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7138

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7135

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7130

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7129

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7127

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7125

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7113

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7103

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7102

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7101

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7096

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7094

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7092

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7088

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7065

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7056

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7053

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.7052

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7045

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7033

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7015

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7012

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6926

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6925

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6925

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6911

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6908

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6898

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6892

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6853

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6830

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6809

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6717

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6705

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6663

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6659

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6646

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6626

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6615

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6612

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6562

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6524

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6495

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6370

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6356

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6336

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6308

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6260

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6232

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.6219

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6211

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6180

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6159

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6158

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6074

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6018

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5963

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5900

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5863

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5861

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5843

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5779

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5745

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5734

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5607

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5588

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5553

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5548

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5243

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5232

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5170

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5077

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5032

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4994

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.4798

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4732

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4717

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4327

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4267

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4202

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4159

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4111

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3805

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3773

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3714

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3679

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3675

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3671

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3669

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3537

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3527

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3261

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3257

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3208

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3177

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2881

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2580

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2536

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2497

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2319

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2172

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2087

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1969

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1654

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1050

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0954

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0916

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0803

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0792

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0785

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0763

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0671

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0536

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`)