TreeWAS – [I34.9] Nonrheumatic mitral valve disorder, unspecified

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
rs6900627 lBF = `6.58124` Chr`6` : `22,570,245`	0.890	0.110	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.850	0.150	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.841	0.159	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.820	0.179	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.820	0.180	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.818	0.182	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.190	0.810
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.800	0.200	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.799	0.201	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.796	0.204	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.791	0.209	0.000
rs2780226 lBF = `5.10037` Chr`6` : `34,199,092`	0.788	0.212	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.785	0.215	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.783	0.217	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.780	0.220	0.000
rs13185878 lBF = `9.20221` Chr`5` : `127,962,298`	0.780	0.220	0.000
rs6693017 lBF = `1.88725` Chr`1` : `220,977,333`	0.780	0.220	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.776	0.224	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.776	0.224	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.775	0.225	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.773	0.227	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.768	0.231	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.765	0.235	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.756	0.244	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.755	0.244	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.753	0.247	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.751	0.249	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.749	0.251	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.746	0.254	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.746	0.254	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.745	0.255	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.745	0.255	0.000
rs12214804 lBF = `1.50806` Chr`6` : `34,188,866`	0.000	0.258	0.742
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.739	0.261	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.738	0.262	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.738	0.262	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.736	0.264	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.728	0.272	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.727	0.273	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.726	0.274	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.725	0.275	0.000
rs62445717 lBF = `5.47231` Chr`7` : `52,371,416`	0.724	0.275	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.721	0.279	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.721	0.279	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.721	0.279	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.720	0.280	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.720	0.280	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.720	0.280	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.719	0.281	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.719	0.281	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.718	0.282	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.716	0.283	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.715	0.284	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.714	0.286	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.714	0.286	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.713	0.287	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.712	0.288	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.711	0.289	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.710	0.289	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.710	0.290	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.709	0.291	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.709	0.291	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.708	0.292	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.708	0.292	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.707	0.293	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.707	0.293	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.707	0.293	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.706	0.294	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.706	0.294	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.706	0.294	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.706	0.294	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.705	0.294	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.705	0.295	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.705	0.295	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.705	0.295	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.705	0.295	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.702	0.298	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.702	0.298	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.702	0.298	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.701	0.298	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.700	0.300	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.700	0.300	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.700	0.300	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.700	0.300	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.699	0.301	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.699	0.301	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.698	0.302	0.000
rs4450776 lBF = `1.99273` Chr`3` : `111,423,129`	0.698	0.302	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.697	0.302	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.697	0.303	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.696	0.304	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.696	0.304	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.695	0.305	0.000
rs6817105 lBF = `64.6903` Chr`4` : `111,705,768`	0.695	0.305	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.694	0.306	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.694	0.306	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.694	0.306	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.693	0.306	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.693	0.307	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.693	0.307	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.692	0.308	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.692	0.308	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.692	0.308	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.691	0.308	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.691	0.309	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.691	0.309	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.690	0.310	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.690	0.310	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.690	0.310	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.690	0.310	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.690	0.310	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.690	0.310	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.689	0.310	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.689	0.311	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.689	0.311	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.688	0.312	0.000
rs17665462 lBF = `11.2129` Chr`3` : `117,325,769`	0.688	0.312	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.687	0.313	0.000
rs2476601 lBF = `151.016` Chr`1` : `114,377,568`	0.687	0.313	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.687	0.313	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.687	0.313	0.000
rs2200733 lBF = `66.0925` Chr`4` : `111,710,169`	0.687	0.313	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.686	0.314	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.685	0.314	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.685	0.315	0.000
rs72677908 lBF = `12.809` Chr`1` : `62,462,325`	0.685	0.315	0.000
rs12570824 lBF = `7.11255` Chr`10` : `65,730,654`	0.685	0.315	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.685	0.315	0.000
rs2234962 lBF = `5.7409` Chr`10` : `121,429,633`	0.000	0.315	0.685
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.684	0.316	0.000
rs74048198 lBF = `5.94724` Chr`11` : `2,118,282`	0.684	0.316	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.683	0.316	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.683	0.316	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.683	0.317	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.683	0.317	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.682	0.317	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.682	0.318	0.000
rs1081575 lBF = `12.1523` Chr`3` : `101,624,854`	0.682	0.318	0.000
rs35556400 lBF = `5.60225` Chr`1` : `95,916,885`	0.000	0.318	0.682
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.682	0.318	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.682	0.318	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.681	0.319	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.681	0.319	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.681	0.319	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.681	0.319	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.680	0.320	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.680	0.320	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.679	0.320	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.678	0.322	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.676	0.324	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.676	0.324	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.676	0.324	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.675	0.325	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.675	0.325	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.675	0.325	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.675	0.325	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.675	0.325	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.674	0.325	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.674	0.326	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.674	0.326	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.674	0.326	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.674	0.326	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.672	0.328	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.672	0.328	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.672	0.328	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.671	0.328	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.671	0.329	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.671	0.329	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.671	0.329	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.670	0.330	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.669	0.331	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.669	0.331	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.669	0.331	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.669	0.331	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.668	0.331	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.668	0.332	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.668	0.332	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.668	0.332	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.668	0.332	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.667	0.333	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.667	0.333	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.667	0.333	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.666	0.334	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.666	0.334	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.666	0.334	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.666	0.334	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.665	0.335	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.665	0.335	0.000
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.665	0.335	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.665	0.335	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.665	0.335	0.000
rs11577931 lBF = `38.4581` Chr`1` : `109,820,884`	0.000	0.335	0.665
rs17615906 lBF = `13.0692` Chr`5` : `128,018,413`	0.664	0.336	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.664	0.336	0.000
rs6679677 lBF = `148.434` Chr`1` : `114,303,808`	0.664	0.336	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.663	0.337	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.663	0.337	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.662	0.338	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.662	0.338	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.661	0.338	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.661	0.339	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.661	0.339	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.660	0.340	0.000
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rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.599	0.401	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.598	0.401	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.598	0.402	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.598	0.402	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.598	0.402	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.598	0.402	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.597	0.403	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.596	0.404	0.000
rs145669774 lBF = `5.67804` Chr`3` : `185,545,502`	0.596	0.404	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.596	0.404	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.596	0.404	0.000
rs192549394 lBF = `1.61666` Chr`14` : `52,293,779`	0.595	0.404	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.595	0.405	0.000
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.595	0.405	0.000
rs359965 lBF = `2.30351` Chr`2` : `219,840,891`	0.595	0.405	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.595	0.405	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.595	0.405	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.594	0.406	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.594	0.406	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.594	0.406	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.594	0.406	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.593	0.406	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.593	0.407	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.593	0.407	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.593	0.407	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.593	0.407	0.000
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.593	0.407	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.593	0.407	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.593	0.407	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.592	0.408	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.592	0.408	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.592	0.408	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.592	0.408	0.000
rs181424343 lBF = `5.27138` Chr`1` : `218,594,484`	0.591	0.409	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.590	0.409	0.000
rs12074980 lBF = `15.0721` Chr`1` : `184,636,516`	0.590	0.410	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.589	0.410	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.589	0.410	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.589	0.411	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.589	0.411	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.589	0.411	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.588	0.412	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.588	0.412	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.587	0.413	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.587	0.413	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.587	0.413	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.587	0.413	0.000
rs186507655 lBF = `20.9052` Chr`1` : `1,287,055`	0.586	0.413	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.586	0.413	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.586	0.414	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.586	0.414	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.586	0.414	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.585	0.415	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.585	0.415	0.000
rs17791975 lBF = `7.13706` Chr`3` : `85,118,035`	0.584	0.415	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.584	0.416	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.584	0.416	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.584	0.416	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.584	0.416	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.584	0.416	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.584	0.416	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.583	0.416	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.583	0.417	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.583	0.417	0.000
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.583	0.417	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.583	0.417	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.583	0.417	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.582	0.418	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.582	0.418	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.581	0.419	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.581	0.419	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.580	0.419	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.580	0.420	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.580	0.420	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.580	0.420	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.580	0.420	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.580	0.420	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.580	0.420	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.580	0.420	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.580	0.420	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.579	0.420	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.579	0.421	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.579	0.421	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.578	0.421	0.000
rs9471075 lBF = `4.59465` Chr`6` : `39,307,032`	0.578	0.422	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.578	0.422	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.578	0.422	0.000
rs17042081 lBF = `59.9223` Chr`4` : `111,653,211`	0.577	0.423	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.577	0.423	0.000
rs11964561 lBF = `3.6893` Chr`6` : `8,169,800`	0.577	0.423	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.577	0.423	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.577	0.423	0.000
rs35533335 lBF = `14.4465` Chr`1` : `32,280,369`	0.577	0.423	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.576	0.424	0.000
rs1776897 lBF = `0.757666` Chr`6` : `34,195,011`	0.000	0.424	0.576
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.576	0.424	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

0.7562

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2575

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1599

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.0676

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9559

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9546

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9423

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9348

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9247

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9230

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9090

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9088

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9017

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8776

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8759

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8643

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8578

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8534

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8402

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8350

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8334

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8275

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8179

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8005

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7989

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7979

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7951

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7890

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7860

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7820

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7725

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7664

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7660

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7591

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7375

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7303

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7272

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7169

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7156

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7154

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7151

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7102

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7053

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7014

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6987

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6974

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6880

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6876

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.6870

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6865

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6802

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6780

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6698

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6658

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6552

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6529

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6437

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6431

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6415

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6268

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6249

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.6067

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6023

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5989

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5974

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5850

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.5823

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5647

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5618

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5421

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5387

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5362

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5297

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5017

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4787

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4664

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4648

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.4575

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4505

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4423

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4414

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4270

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4116

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3821

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3812

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3751

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3617

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3593

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3561

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3434

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3428

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3316

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3268

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3055

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3019

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2957

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2920

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2915

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2887

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2846

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2753

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2647

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2646

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2637

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2605

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2542

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2536

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2489

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2478

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2472

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2423

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2402

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2299

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2266

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2218

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2171

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2138

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2065

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2050

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2027

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2008

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1940

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1921

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.1808

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1807

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1790

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1757

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1731

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1726

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1700

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1698

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1689

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1639

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1575

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1555

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1519

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1510

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1445

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1440

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1390

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1386

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1271

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1254

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1249

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1241

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1234

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1225

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1216

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1075

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0829

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0800

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0792

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0741

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0518

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`)