TreeWAS – [I77.3] Arterial fibromuscular dysplasia

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
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.783	0.217	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.748	0.252	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.745	0.255	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.745	0.255	0.000
rs6569364 lBF = `7.02344` Chr`6` : `124,158,252`	0.744	0.256	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.743	0.257	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.743	0.257	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.742	0.258	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.742	0.258	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.740	0.259	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.738	0.262	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.737	0.263	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.737	0.263	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.730	0.269	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.730	0.270	0.000
rs10965219 lBF = `150.789` Chr`9` : `22,053,687`	0.726	0.274	0.000
rs1537370 lBF = `339.752` Chr`9` : `22,084,310`	0.717	0.283	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.283	0.717
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.717	0.283	0.000
rs7874604 lBF = `150.563` Chr`9` : `22,054,690`	0.717	0.283	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.717	0.283	0.000
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	0.717	0.283	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.717	0.283	0.000
rs2315065 lBF = `275.304` Chr`6` : `161,108,144`	0.717	0.283	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.717	0.283	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.717	0.283	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.717	0.283	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.717	0.283	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.717	0.283	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.717	0.283	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.717	0.283	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.717	0.283	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.717	0.283	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.717	0.283	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.717	0.283	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.717	0.283	0.000
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.717	0.283	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.717	0.283	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.717	0.283	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.717	0.283	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.717	0.283	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.717	0.283	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.717	0.283	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.717	0.283	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.717	0.283	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.717	0.283	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.717	0.283	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.717	0.283	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.717	0.283	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.717	0.283	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.717	0.283	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.717	0.283	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.717	0.283	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.717	0.283	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.717	0.283	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.717	0.283	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.717	0.283	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.717	0.283	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.717	0.283	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.717	0.283	0.000
rs199347 lBF = `3.57318` Chr`7` : `23,293,746`	0.000	0.283	0.717
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.717	0.283	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.717	0.283	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.717	0.283	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.717	0.283	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.717	0.283	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.717	0.283	0.000
rs6475606 lBF = `331.139` Chr`9` : `22,081,850`	0.716	0.283	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.716	0.283	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.716	0.283	0.000
rs4252185 lBF = `259.415` Chr`6` : `161,123,451`	0.716	0.283	0.000
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.716	0.284	0.000
rs951984 lBF = `16.3665` Chr`15` : `78,720,915`	0.716	0.284	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.716	0.284	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.716	0.284	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.716	0.284	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.716	0.284	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.716	0.284	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.716	0.284	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.716	0.284	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.716	0.284	0.000
rs2157719 lBF = `171.627` Chr`9` : `22,033,366`	0.000	0.284	0.716
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.716	0.284	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.716	0.284	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.716	0.284	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.716	0.284	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.716	0.284	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.716	0.284	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.716	0.284	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.716	0.284	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.716	0.284	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.716	0.284	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.716	0.284	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.716	0.284	0.000
rs7865618 lBF = `166.125` Chr`9` : `22,031,005`	0.000	0.284	0.716
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.716	0.284	0.000
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.716	0.284	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.716	0.284	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.716	0.284	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.716	0.284	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.716	0.284	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.716	0.284	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.716	0.284	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.716	0.284	0.000
rs4977756 lBF = `180.502` Chr`9` : `22,068,652`	0.000	0.284	0.716
rs1333040 lBF = `229.258` Chr`9` : `22,083,404`	0.000	0.284	0.715
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.715	0.284	0.000
rs3131783 lBF = `113.654` Chr`6` : `30,932,068`	0.715	0.285	0.000
rs2524078 lBF = `156.439` Chr`6` : `31,242,649`	0.715	0.285	0.000
rs2107595 lBF = `32.9202` Chr`7` : `19,049,388`	0.715	0.285	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.715	0.285	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.715	0.285	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.715	0.285	0.000
rs41272044 lBF = `14.6049` Chr`6` : `161,014,751`	0.000	0.285	0.715
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	0.715	0.285	0.000
rs1412829 lBF = `154.353` Chr`9` : `22,043,926`	0.000	0.285	0.715
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.715	0.285	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.715	0.285	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.715	0.285	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.715	0.285	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.715	0.285	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.715	0.285	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.715	0.285	0.000
rs9272276 lBF = `160.465` Chr`6` : `32,603,634`	0.715	0.285	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.715	0.285	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.715	0.285	0.000
rs1063192 lBF = `160.304` Chr`9` : `22,003,367`	0.000	0.285	0.714
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.714	0.285	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.714	0.286	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.714	0.286	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.714	0.286	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.714	0.286	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.714	0.286	0.000
rs564398 lBF = `152.203` Chr`9` : `22,029,547`	0.000	0.286	0.714
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.714	0.286	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.714	0.286	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.714	0.286	0.000
rs10757269 lBF = `323.969` Chr`9` : `22,072,264`	0.714	0.286	0.000
rs9273011 lBF = `165.34` Chr`6` : `32,611,611`	0.714	0.286	0.000
rs3130782 lBF = `262.171` Chr`6` : `30,914,843`	0.714	0.286	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.714	0.286	0.000
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.714	0.286	0.000
rs2517597 lBF = `229.843` Chr`6` : `30,081,189`	0.713	0.286	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.713	0.286	0.000
rs926552 lBF = `229.967` Chr`6` : `29,548,089`	0.713	0.287	0.000
rs615552 lBF = `132.45` Chr`9` : `22,026,077`	0.000	0.287	0.713
rs2523986 lBF = `233.642` Chr`6` : `30,081,246`	0.713	0.287	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.713	0.287	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.713	0.287	0.000
rs3129975 lBF = `186.631` Chr`6` : `30,732,054`	0.713	0.287	0.000
rs3131038 lBF = `183.589` Chr`6` : `30,734,080`	0.713	0.287	0.000
rs3094121 lBF = `184.849` Chr`6` : `30,730,960`	0.713	0.287	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.713	0.287	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.713	0.287	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.713	0.287	0.000
rs9272219 lBF = `165.087` Chr`6` : `32,602,269`	0.713	0.287	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.713	0.287	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.713	0.287	0.000
rs2523987 lBF = `233.193` Chr`6` : `30,079,993`	0.713	0.287	0.000
rs1233396 lBF = `230.713` Chr`6` : `29,546,799`	0.713	0.287	0.000
rs1235162 lBF = `240.328` Chr`6` : `29,537,224`	0.713	0.287	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.713	0.287	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.712	0.288	0.000
rs7798197 lBF = `15.7025` Chr`7` : `19,037,661`	0.712	0.288	0.000
rs9272630 lBF = `162.464` Chr`6` : `32,608,150`	0.712	0.288	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	0.712	0.288	0.000
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.712	0.288	0.000
rs3094120 lBF = `185.573` Chr`6` : `30,731,556`	0.712	0.288	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.712	0.288	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.712	0.288	0.000
rs3094117 lBF = `175.363` Chr`6` : `30,737,486`	0.712	0.288	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.711	0.288	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.711	0.288	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.711	0.288	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.711	0.289	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.711	0.289	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.711	0.289	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.711	0.289	0.000
rs2074633 lBF = `21.593` Chr`7` : `19,035,920`	0.711	0.289	0.000
rs523096 lBF = `126.227` Chr`9` : `22,019,129`	0.000	0.289	0.711
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.711	0.289	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.711	0.289	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.711	0.289	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.711	0.289	0.000
rs3094112 lBF = `187.033` Chr`6` : `30,761,734`	0.711	0.289	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.711	0.289	0.000
rs2524069 lBF = `151.86` Chr`6` : `31,244,789`	0.711	0.289	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.711	0.289	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.711	0.289	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.710	0.289	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.710	0.290	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.710	0.290	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.710	0.290	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.710	0.290	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.710	0.290	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.710	0.290	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.710	0.290	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.710	0.290	0.000
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	0.710	0.290	0.000
rs2844569 lBF = `203.491` Chr`6` : `31,336,604`	0.710	0.290	0.000
rs1541269 lBF = `254.96` Chr`6` : `30,103,360`	0.710	0.290	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.710	0.290	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.710	0.290	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.710	0.290	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.710	0.290	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.710	0.290	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.710	0.290	0.000
rs57301765 lBF = `28.5048` Chr`7` : `19,052,733`	0.709	0.290	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.709	0.290	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.709	0.291	0.000
rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	0.709	0.291	0.000
rs2151280 lBF = `148.877` Chr`9` : `22,034,719`	0.709	0.291	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.709	0.291	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.709	0.291	0.000
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.709	0.291	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.709	0.291	0.000
rs3130557 lBF = `159.98` Chr`6` : `31,094,703`	0.709	0.291	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.709	0.291	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.709	0.291	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.709	0.291	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.709	0.291	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.709	0.291	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.709	0.291	0.000
rs3731257 lBF = `90.8856` Chr`9` : `21,966,221`	0.709	0.291	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.709	0.291	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.708	0.291	0.000
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	0.708	0.291	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.708	0.291	0.000
rs1233478 lBF = `170.338` Chr`6` : `29,477,821`	0.708	0.291	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.708	0.291	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.708	0.291	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.708	0.292	0.000
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.708	0.292	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.708	0.292	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.708	0.292	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.708	0.292	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.708	0.292	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.708	0.292	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.708	0.292	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.708	0.292	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.708	0.292	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.708	0.292	0.000
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	0.708	0.292	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.708	0.292	0.000
rs2523989 lBF = `221.533` Chr`6` : `30,078,275`	0.708	0.292	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.708	0.292	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.708	0.292	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.708	0.292	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.708	0.292	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.707	0.292	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.707	0.292	0.000
rs2844545 lBF = `180.307` Chr`6` : `31,345,229`	0.707	0.292	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.707	0.293	0.000
rs886423 lBF = `103.95` Chr`6` : `30,782,205`	0.707	0.293	0.000
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.707	0.293	0.000
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.707	0.293	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.707	0.293	0.000
rs2596530 lBF = `89.396` Chr`6` : `31,387,373`	0.000	0.293	0.707
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.707	0.293	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.707	0.293	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	0.707	0.293	0.000
rs2516448 lBF = `89.2843` Chr`6` : `31,390,410`	0.000	0.293	0.707
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	0.707	0.293	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	0.707	0.293	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.707	0.293	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.707	0.293	0.000
rs9260112 lBF = `99.5353` Chr`6` : `29,909,918`	0.707	0.293	0.000
rs2022083 lBF = `228.09` Chr`6` : `30,213,540`	0.707	0.293	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.707	0.293	0.000
rs2442744 lBF = `181.524` Chr`6` : `31,345,376`	0.706	0.293	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.706	0.294	0.000
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.706	0.294	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.706	0.294	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.706	0.294	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.706	0.294	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.706	0.294	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.706	0.294	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	0.706	0.294	0.000
rs204989 lBF = `218.203` Chr`6` : `32,161,852`	0.706	0.294	0.000
rs3132610 lBF = `294.749` Chr`6` : `30,544,401`	0.706	0.294	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.706	0.294	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.706	0.294	0.000
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.706	0.294	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.706	0.294	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.706	0.294	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.706	0.294	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.706	0.294	0.000
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.706	0.294	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.705	0.294	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	0.705	0.294	0.000
rs3128982 lBF = `183.245` Chr`6` : `31,417,191`	0.705	0.294	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.705	0.294	0.000
rs2508037 lBF = `103.422` Chr`6` : `29,918,436`	0.705	0.294	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	0.705	0.295	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.705	0.295	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.705	0.295	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.705	0.295	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	0.705	0.295	0.000
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.705	0.295	0.000
rs929157 lBF = `232.182` Chr`6` : `30,137,209`	0.705	0.295	0.000
rs17628203 lBF = `26.8212` Chr`6` : `161,682,569`	0.705	0.295	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.705	0.295	0.000
rs2844773 lBF = `234.47` Chr`6` : `30,207,495`	0.704	0.295	0.000
rs2517611 lBF = `186.241` Chr`6` : `30,169,327`	0.704	0.295	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.704	0.296	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.704	0.296	0.000
rs2535332 lBF = `137.95` Chr`6` : `30,813,249`	0.704	0.296	0.000
rs2523985 lBF = `215.269` Chr`6` : `30,081,334`	0.704	0.296	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.704	0.296	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.703	0.296	0.000
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rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.703	0.297	0.000
rs4709408 lBF = `84.0955` Chr`6` : `160,625,231`	0.703	0.297	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.703	0.297	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.703	0.297	0.000
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rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.703	0.297	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.703	0.297	0.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	0.703	0.297	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.702	0.297	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.702	0.297	0.000
rs3132657 lBF = `228.489` Chr`6` : `30,233,513`	0.702	0.298	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.702	0.298	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.702	0.298	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.702	0.298	0.000
rs885916 lBF = `241.114` Chr`6` : `30,202,571`	0.702	0.298	0.000
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rs1264352 lBF = `100.387` Chr`6` : `30,789,647`	0.702	0.298	0.000
rs1233480 lBF = `226.569` Chr`6` : `29,477,414`	0.702	0.298	0.000
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rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.702	0.298	0.000
rs2596531 lBF = `89.5215` Chr`6` : `31,387,557`	0.000	0.298	0.702
rs3131064 lBF = `278.586` Chr`6` : `30,763,893`	0.701	0.298	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.701	0.298	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.701	0.299	0.000
rs2249099 lBF = `215.398` Chr`6` : `30,079,307`	0.701	0.299	0.000
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rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.701	0.299	0.000
rs2239529 lBF = `220.309` Chr`6` : `30,078,330`	0.701	0.299	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.701	0.299	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.700	0.299	0.000
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rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.700	0.300	0.000
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rs2844793 lBF = `219.632` Chr`6` : `30,080,496`	0.699	0.301	0.000
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rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.698	0.302	0.000
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rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.698	0.302	0.000
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rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.698	0.302	0.000
rs2517598 lBF = `209.688` Chr`6` : `30,080,274`	0.698	0.302	0.000
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rs3095298 lBF = `239.113` Chr`6` : `31,082,932`	0.694	0.306	0.000
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rs34182778 lBF = `229.887` Chr`6` : `31,084,942`	0.694	0.306	0.000
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rs3094216 lBF = `239.383` Chr`6` : `31,084,048`	0.692	0.308	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.691	0.309	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.691	0.309	0.000
rs11634351 lBF = `10.8007` Chr`15` : `78,944,718`	0.691	0.309	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.690	0.309	0.000
rs9257809 lBF = `220.028` Chr`6` : `29,356,331`	0.690	0.310	0.000
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.690	0.310	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.690	0.310	0.000
rs41265930 lBF = `11.9369` Chr`6` : `160,964,135`	0.000	0.310	0.690
rs75672964 lBF = `11.0036` Chr`7` : `131,321,010`	0.690	0.310	0.000
rs2975043 lBF = `102.582` Chr`6` : `29,918,734`	0.690	0.310	0.000
rs13209686 lBF = `13.1277` Chr`6` : `160,595,233`	0.690	0.310	0.000
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.690	0.310	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.690	0.310	0.000
rs404240 lBF = `232.726` Chr`6` : `29,523,957`	0.690	0.310	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.689	0.310	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.689	0.311	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.689	0.311	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.689	0.311	0.000
rs80349490 lBF = `12.4872` Chr`6` : `21,615,188`	0.688	0.311	0.000
rs971570 lBF = `184.724` Chr`6` : `30,172,513`	0.688	0.312	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.688	0.312	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.688	0.312	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.688	0.312	0.000
rs13197574 lBF = `194.513` Chr`6` : `28,060,239`	0.688	0.312	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.688	0.312	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.687	0.313	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.687	0.313	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.686	0.314	0.000
rs9257248 lBF = `208.12` Chr`6` : `28,803,291`	0.686	0.314	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.686	0.314	0.000
rs6908726 lBF = `198.546` Chr`6` : `28,671,343`	0.685	0.315	0.000
rs13211507 lBF = `197.103` Chr`6` : `28,257,377`	0.685	0.315	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.685	0.315	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.685	0.315	0.000
rs3130564 lBF = `267.188` Chr`6` : `31,101,674`	0.685	0.315	0.000
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.685	0.315	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.685	0.315	0.000
rs2860580 lBF = `89.9686` Chr`6` : `29,906,691`	0.000	0.315	0.685
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.685	0.315	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.684	0.315	0.000
rs2242659 lBF = `276.776` Chr`6` : `31,601,513`	0.684	0.316	0.000
rs1535039 lBF = `224.978` Chr`6` : `29,411,432`	0.684	0.316	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.684	0.316	0.000
rs2746150 lBF = `227.263` Chr`6` : `29,442,701`	0.684	0.316	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.684	0.316	0.000
rs3095151 lBF = `228.527` Chr`6` : `30,900,150`	0.683	0.316	0.000
rs75511781 lBF = `10.9224` Chr`7` : `131,323,710`	0.683	0.317	0.000
rs4678 lBF = `225.588` Chr`6` : `30,893,941`	0.683	0.317	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.683	0.317	0.000
rs1046089 lBF = `282.881` Chr`6` : `31,602,967`	0.683	0.317	0.000
rs442694 lBF = `223.716` Chr`6` : `29,356,687`	0.683	0.317	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.683	0.317	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.683	0.317	0.000
rs2523443 lBF = `227.406` Chr`6` : `29,415,464`	0.682	0.317	0.000
rs429479 lBF = `220.258` Chr`6` : `29,372,323`	0.682	0.317	0.000
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	0.682	0.317	0.000
rs10965215 lBF = `149.273` Chr`9` : `22,029,445`	0.682	0.317	0.000
rs3132550 lBF = `240.835` Chr`6` : `31,086,048`	0.682	0.317	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.682	0.318	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.682	0.318	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.682	0.318	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.682	0.318	0.000
rs3131787 lBF = `228.952` Chr`6` : `30,899,524`	0.682	0.318	0.000
rs76412020 lBF = `5.96467` Chr`6` : `34,149,938`	0.682	0.318	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.681	0.319	0.000
rs77731990 lBF = `1.89865` Chr`2` : `184,556,860`	0.681	0.319	0.000
rs3129791 lBF = `212.141` Chr`6` : `28,954,293`	0.681	0.319	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.681	0.319	0.000
rs3118359 lBF = `213.695` Chr`6` : `28,793,904`	0.681	0.319	0.000
rs1233491 lBF = `226.91` Chr`6` : `29,461,730`	0.680	0.320	0.000
rs3131343 lBF = `208.216` Chr`6` : `28,775,564`	0.680	0.320	0.000
rs2256183 lBF = `86.7254` Chr`6` : `31,380,529`	0.000	0.320	0.680
rs3131934 lBF = `112.591` Chr`6` : `30,931,844`	0.680	0.320	0.000
rs3130781 lBF = `228.518` Chr`6` : `30,914,552`	0.680	0.320	0.000
rs3118357 lBF = `210.247` Chr`6` : `28,802,149`	0.680	0.320	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.680	0.320	0.000
rs674313 lBF = `146.852` Chr`6` : `32,578,082`	0.680	0.320	0.000
rs3117427 lBF = `198.849` Chr`6` : `29,274,136`	0.679	0.320	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.679	0.321	0.000
rs9260489 lBF = `97.3753` Chr`6` : `29,920,332`	0.000	0.321	0.679
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.679	0.321	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.679	0.321	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.678	0.322	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.678	0.322	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 X0034

log Bayes Factor = 665.104

contains 16 variants

0.4916

Cluster X0282

log Bayes Factor = 38.0098

contains 3 variants

0.2304

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1382

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1190

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1115

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.7608

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.7421

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7169

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7169

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7169

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7168

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.7168

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7168

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7167

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7166

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7166

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7164

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7163

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7161

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7158

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7158

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7156

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7156

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7156

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7154

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7154

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7152

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7150

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7150

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7147

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7145

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7145

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7141

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7138

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7137

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7136

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7130

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7129

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7128

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7127

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7124

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7123

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7122

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7121

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7112

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7108

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7076

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7071

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7065

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7060

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7060

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7041

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7039

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7020

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7016

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7013

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7008

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6998

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.6992

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6988

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6979

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6957

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6947

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6943

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6925

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6904

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6897

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6870

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6865

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6864

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6863

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6857

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6822

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6819

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6816

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6788

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6782

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6775

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6762

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6746

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6730

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6727

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6694

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6653

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6647

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6644

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6638

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6610

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6557

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6557

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6515

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6505

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6495

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6442

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6394

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6362

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6317

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6316

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6255

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6255

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6249

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6229

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6206

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6163

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6158

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6099

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6030

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5912

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5878

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5855

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5784

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5753

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.5726

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.5692

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5641

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5564

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5507

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5413

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5353

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5225

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5221

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5216

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5205

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5166

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4978

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4966

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4919

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4868

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4782

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4754

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4702

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4625

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4553

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4539

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4498

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4457

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4360

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4347

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4299

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4281

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4248

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4247

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4232

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4048

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4038

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3894

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3868

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3830

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3571

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3404

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3378

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3338

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3282

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3180

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3162

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2983

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2860

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2843

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2843

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2802

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2762

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2730

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2711

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2666

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2612

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2513

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2356

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2260

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2219

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2157

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2130

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1875

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1724

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1651

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1460

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1428

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1388

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1322

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1296

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1283

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1217

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1117

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0880

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0870

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0680

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0634

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0625

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0579

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`)