TreeWAS – [I37.1] Pulmonary valve insufficiency

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
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.868	0.132	0.000
rs4374681 lBF = `5.49218` Chr`4` : `1,566,164`	0.837	0.163	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.811	0.189	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	0.194	0.806
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.805	0.195	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.789	0.211	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.767	0.233	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.753	0.247	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.750	0.250	0.000
rs12570824 lBF = `7.11255` Chr`10` : `65,730,654`	0.747	0.253	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.747	0.253	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.746	0.254	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.727	0.273	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.722	0.278	0.000
rs6693017 lBF = `1.88725` Chr`1` : `220,977,333`	0.717	0.283	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.717	0.283	0.000
rs13210382 lBF = `7.7697` Chr`6` : `18,326,873`	0.706	0.294	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.705	0.295	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.704	0.296	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.704	0.296	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.703	0.297	0.000
rs2238151 lBF = `27.2496` Chr`12` : `112,211,833`	0.000	0.297	0.703
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.703	0.297	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.700	0.300	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.700	0.300	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.699	0.301	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.698	0.302	0.000
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.695	0.305	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.691	0.309	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.690	0.310	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.690	0.310	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.690	0.310	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.690	0.310	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.689	0.311	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.688	0.312	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.687	0.313	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.687	0.313	0.000
rs77170649 lBF = `7.49398` Chr`6` : `135,010,546`	0.684	0.316	0.000
rs368331 lBF = `1.10684` Chr`7` : `21,742,974`	0.680	0.320	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.680	0.320	0.000
rs17162040 lBF = `6.74453` Chr`1` : `27,883,227`	0.000	0.322	0.678
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.672	0.328	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.671	0.329	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.668	0.332	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.668	0.332	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.667	0.333	0.000
rs116989098 lBF = `17.9744` Chr`6` : `161,777,500`	0.667	0.333	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.666	0.334	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.665	0.335	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.664	0.336	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.663	0.337	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.662	0.338	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.660	0.340	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.660	0.340	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.659	0.341	0.000
rs35835288 lBF = `5.23314` Chr`1` : `222,982,059`	0.658	0.342	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.657	0.343	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.656	0.344	0.000
rs17630235 lBF = `80.0182` Chr`12` : `112,591,686`	0.656	0.344	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.654	0.345	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.653	0.347	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.653	0.347	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.651	0.348	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.651	0.349	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.650	0.350	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.649	0.351	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.648	0.352	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.647	0.353	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.646	0.354	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.646	0.354	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.644	0.356	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.644	0.356	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.644	0.356	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.643	0.357	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.643	0.357	0.000
rs113173951 lBF = `6.15041` Chr`1` : `27,877,418`	0.000	0.358	0.642
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.641	0.359	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.638	0.361	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.638	0.362	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.638	0.362	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.637	0.363	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.636	0.364	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.635	0.365	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.634	0.366	0.000
rs62445717 lBF = `5.47231` Chr`7` : `52,371,416`	0.633	0.367	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.632	0.367	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.632	0.368	0.000
rs182946095 lBF = `14.8151` Chr`6` : `167,730,166`	0.632	0.368	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.632	0.368	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.632	0.368	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.631	0.369	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.631	0.369	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.630	0.370	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.630	0.370	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.629	0.370	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.628	0.371	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.628	0.372	0.000
rs62242686 lBF = `11.9408` Chr`3` : `38,349,391`	0.628	0.372	0.000
rs10744777 lBF = `24.8672` Chr`12` : `112,233,018`	0.000	0.372	0.628
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.627	0.373	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.626	0.374	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.626	0.374	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.626	0.374	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.625	0.374	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.625	0.375	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.625	0.375	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.625	0.375	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.625	0.375	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.624	0.375	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.623	0.377	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.623	0.377	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.622	0.377	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.622	0.378	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.622	0.378	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.622	0.378	0.000
rs17650401 lBF = `1.7716` Chr`4` : `24,375,833`	0.000	0.379	0.621
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.620	0.379	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.620	0.380	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.619	0.381	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.619	0.381	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.619	0.381	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.619	0.381	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.618	0.382	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.618	0.382	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.617	0.383	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.615	0.385	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.615	0.385	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.614	0.386	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.613	0.386	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.613	0.387	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.612	0.388	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.611	0.389	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.610	0.390	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.610	0.390	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.610	0.390	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.610	0.390	0.000
rs13185878 lBF = `9.20221` Chr`5` : `127,962,298`	0.609	0.390	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.609	0.391	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.607	0.393	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.607	0.393	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.607	0.393	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.606	0.394	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.605	0.394	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.604	0.396	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.396	0.604
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.604	0.396	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.603	0.397	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.603	0.397	0.000
rs294914 lBF = `3.44115` Chr`6` : `159,629,045`	0.000	0.397	0.602
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.602	0.398	0.000
rs56158183 lBF = `4.44665` Chr`2` : `60,632,924`	0.000	0.399	0.601
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.600	0.400	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.600	0.400	0.000
rs17744121 lBF = `5.69352` Chr`21` : `30,713,598`	0.599	0.400	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.598	0.401	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.598	0.402	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.598	0.402	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.597	0.403	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.597	0.403	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.597	0.403	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.596	0.404	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.596	0.404	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.596	0.404	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.595	0.405	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.595	0.405	0.000
rs73008782 lBF = `8.48892` Chr`6` : `145,689,914`	0.595	0.405	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.594	0.406	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.594	0.406	0.000
rs112556867 lBF = `13.232` Chr`6` : `92,572,325`	0.593	0.407	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.590	0.410	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.588	0.412	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.588	0.412	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.587	0.413	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.586	0.414	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.586	0.414	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.585	0.415	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.585	0.415	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.584	0.416	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.584	0.416	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.583	0.417	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.583	0.417	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.583	0.417	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.583	0.417	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.582	0.417	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.582	0.418	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.582	0.418	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.581	0.419	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.580	0.419	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.580	0.419	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.580	0.420	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.578	0.422	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.577	0.422	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.577	0.423	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.577	0.423	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.576	0.423	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.575	0.425	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.575	0.425	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.575	0.425	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.574	0.426	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.573	0.427	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.573	0.427	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.572	0.428	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.572	0.428	0.000
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rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.514	0.486	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.514	0.486	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.514	0.486	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.514	0.486	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.514	0.486	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.514	0.486	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.514	0.486	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.514	0.486	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.514	0.486	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.514	0.486	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.514	0.486	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.514	0.486	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.514	0.486	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.514	0.486	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.514	0.486	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.514	0.486	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.514	0.486	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.514	0.486	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.514	0.486	0.000
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.514	0.486	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.514	0.486	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.514	0.486	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.514	0.486	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.514	0.486	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.514	0.486	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.514	0.486	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.514	0.486	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.514	0.486	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.514	0.486	0.000
rs117593948 lBF = `12.1272` Chr`6` : `110,245,200`	0.514	0.486	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.514	0.486	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.514	0.486	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.514	0.486	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.514	0.486	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.514	0.486	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.514	0.486	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.514	0.486	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.514	0.486	0.000
rs115384415 lBF = `15.8504` Chr`1` : `95,333,551`	0.514	0.486	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.514	0.486	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.514	0.486	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.514	0.486	0.000
rs112833835 lBF = `14.7107` Chr`1` : `225,084,059`	0.514	0.486	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.514	0.486	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.514	0.486	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.514	0.486	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.514	0.486	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.514	0.486	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.514	0.486	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.514	0.486	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.514	0.486	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.514	0.486	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.514	0.486	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.514	0.486	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.514	0.486	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.514	0.486	0.000
rs9471075 lBF = `4.59465` Chr`6` : `39,307,032`	0.514	0.486	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.514	0.486	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.514	0.486	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.514	0.486	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.514	0.486	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.514	0.486	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.514	0.486	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.514	0.486	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.514	0.486	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.514	0.486	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.514	0.486	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.514	0.486	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.514	0.486	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.514	0.486	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.514	0.486	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.514	0.486	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.514	0.486	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.514	0.486	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.514	0.486	0.000
rs1081575 lBF = `12.1523` Chr`3` : `101,624,854`	0.514	0.486	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.514	0.486	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.514	0.486	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.514	0.486	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.514	0.486	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.514	0.486	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.514	0.486	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.514	0.486	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.514	0.486	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.514	0.486	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.514	0.486	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.514	0.486	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.514	0.486	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.514	0.486	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.514	0.486	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.514	0.486	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.514	0.486	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.514	0.486	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.514	0.486	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.514	0.486	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

0.4843

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4358

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3711

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.2513

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9840

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9413

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9392

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9372

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9283

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9257

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9240

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9061

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9059

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8943

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8741

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8640

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8470

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8344

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8336

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8316

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8282

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8255

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8059

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8031

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8015

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8000

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7821

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7807

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7773

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7767

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7763

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7760

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7663

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7598

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7444

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7442

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7428

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7428

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7340

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7314

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7288

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7286

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7246

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7238

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7213

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7206

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7165

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7156

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7117

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7066

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7029

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7028

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6971

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6899

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6783

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6772

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6668

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6651

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6614

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6588

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6546

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6480

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6477

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6476

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6464

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6423

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6366

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6351

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6344

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6316

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6269

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6269

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6269

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6239

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6218

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6188

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6153

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6136

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6106

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6097

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6085

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6082

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6055

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6041

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6039

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6029

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6004

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6001

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5991

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5981

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5926

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5921

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5911

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5908

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5865

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5805

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5770

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5733

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5683

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5633

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5551

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5352

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5303

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5257

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5140

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5140

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5140

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5140

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5140

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5140

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5140

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5138

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5137

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5126

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5113

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5079

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5062

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4989

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4957

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4952

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4894

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4849

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4820

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4752

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4554

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4508

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4083

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.4082

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4075

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3876

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3437

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3410

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.3286

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3258

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3055

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2882

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2794

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2720

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2664

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.2441

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2431

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1894

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1305

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1183

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0789

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0601

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0565

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0526

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`)