TreeWAS – [I73] Other peripheral vascular diseases

Download association data
for this term in csv format

Share this page

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I73

Other peripheral vascular diseases

Parent term	I70-I79 Diseases of arteries, arterioles and capillaries
Nested terms	I73.0 Raynaud's syndrome I73.1 Thromboangiitis obliterans [Buerger] I73.8 Other specified peripheral vascular diseases I73.9 Peripheral vascular disease, unspecified

What are diagnostic terms?

Variant effects

Click on a variant to see its association results.

Download this figure in format

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
rs4252185 lBF = `259.415` Chr`6` : `161,123,451`	1.000	0.000	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	1.000	0.000	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	1.000	0.000	0.000
rs2315065 lBF = `275.304` Chr`6` : `161,108,144`	1.000	0.000	0.000
rs1235162 lBF = `240.328` Chr`6` : `29,537,224`	1.000	0.000	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	1.000	0.000	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	1.000	0.000	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	1.000	0.000	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	1.000	0.000	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	1.000	0.000	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	1.000	0.000	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	1.000	0.000	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	1.000	0.000	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	1.000	0.000	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	1.000	0.000	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	1.000	0.000	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	1.000	0.000	0.000
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	1.000	0.000	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	1.000	0.000	0.000
rs1541269 lBF = `254.96` Chr`6` : `30,103,360`	1.000	0.000	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	1.000	0.000	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	1.000	0.000	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	1.000	0.000	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	1.000	0.000	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	1.000	0.000	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	1.000	0.000	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	1.000	0.000	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	1.000	0.000	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	1.000	0.000	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	1.000	0.000	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	1.000	0.000	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	1.000	0.000	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	1.000	0.000	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	1.000	0.000	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	1.000	0.000	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	1.000	0.000	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	1.000	0.000	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	1.000	0.000	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	1.000	0.000	0.000
rs1537370 lBF = `339.752` Chr`9` : `22,084,310`	1.000	0.000	0.000
rs6475606 lBF = `331.139` Chr`9` : `22,081,850`	1.000	0.000	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	1.000	0.000	0.000
rs1233396 lBF = `230.713` Chr`6` : `29,546,799`	1.000	0.000	0.000
rs4977756 lBF = `180.502` Chr`9` : `22,068,652`	0.000	0.000	1.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	1.000	0.000	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	1.000	0.000	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	1.000	0.000	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.000	1.000
rs10757269 lBF = `323.969` Chr`9` : `22,072,264`	1.000	0.000	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	1.000	0.000	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	1.000	0.000	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	1.000	0.000	0.000
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	1.000	0.000	0.000
rs926552 lBF = `229.967` Chr`6` : `29,548,089`	1.000	0.000	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	1.000	0.000	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	1.000	0.000	0.000
rs1333040 lBF = `229.258` Chr`9` : `22,083,404`	0.000	0.000	1.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	1.000	0.000	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	1.000	0.000	0.000
rs2523987 lBF = `233.193` Chr`6` : `30,079,993`	1.000	0.000	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	1.000	0.000	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	1.000	0.000	0.000
rs2157719 lBF = `171.627` Chr`9` : `22,033,366`	0.000	0.000	1.000
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	1.000	0.000	0.000
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	1.000	0.000	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	1.000	0.000	0.000
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	1.000	0.000	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	1.000	0.000	0.000
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	1.000	0.000	0.000
rs2523986 lBF = `233.642` Chr`6` : `30,081,246`	1.000	0.000	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	1.000	0.000	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	1.000	0.000	0.000
rs2517597 lBF = `229.843` Chr`6` : `30,081,189`	1.000	0.000	0.000
rs7865618 lBF = `166.125` Chr`9` : `22,031,005`	0.000	0.000	1.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	1.000	0.000	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	1.000	0.000	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	1.000	0.000	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	1.000	0.000	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	1.000	0.000	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	1.000	0.000	0.000
rs3130564 lBF = `267.188` Chr`6` : `31,101,674`	1.000	0.000	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	1.000	0.000	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	1.000	0.000	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	1.000	0.000	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	1.000	0.000	0.000
rs10965219 lBF = `150.789` Chr`9` : `22,053,687`	1.000	0.000	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	1.000	0.000	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	1.000	0.000	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	1.000	0.000	0.000
rs3731257 lBF = `90.8856` Chr`9` : `21,966,221`	1.000	0.000	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	1.000	0.000	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	1.000	0.000	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	1.000	0.000	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	1.000	0.000	0.000
rs564398 lBF = `152.203` Chr`9` : `22,029,547`	0.000	0.000	1.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	1.000	0.000	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	1.000	0.000	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	1.000	0.000	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	1.000	0.000	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	1.000	0.000	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	1.000	0.000	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	1.000	0.000	0.000
rs929157 lBF = `232.182` Chr`6` : `30,137,209`	1.000	0.000	0.000
rs404240 lBF = `232.726` Chr`6` : `29,523,957`	1.000	0.000	0.000
rs1233480 lBF = `226.569` Chr`6` : `29,477,414`	1.000	0.000	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	1.000	0.000	0.000
rs2517613 lBF = `243.064` Chr`6` : `30,165,662`	1.000	0.000	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	1.000	0.000	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	1.000	0.000	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	1.000	0.000	0.000
rs1412829 lBF = `154.353` Chr`9` : `22,043,926`	0.000	0.000	1.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	1.000	0.000	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.999	0.001	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.999	0.001	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.999	0.001	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.999	0.001	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.999	0.001	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.999	0.001	0.000
rs2517618 lBF = `242.769` Chr`6` : `30,158,127`	0.999	0.001	0.000
rs7874604 lBF = `150.563` Chr`9` : `22,054,690`	0.999	0.001	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.999	0.001	0.000
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.999	0.001	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.999	0.001	0.000
rs2523720 lBF = `241.707` Chr`6` : `30,166,886`	0.999	0.001	0.000
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.999	0.001	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.999	0.001	0.000
rs1063192 lBF = `160.304` Chr`9` : `22,003,367`	0.000	0.001	0.999
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.999	0.001	0.000
rs3132610 lBF = `294.749` Chr`6` : `30,544,401`	0.999	0.001	0.000
rs41272044 lBF = `14.6049` Chr`6` : `161,014,751`	0.000	0.001	0.999
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.999	0.001	0.000
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.999	0.001	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.999	0.001	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.999	0.001	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.999	0.001	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.999	0.001	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.999	0.001	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.999	0.001	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.999	0.001	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.999	0.001	0.000
rs885916 lBF = `241.114` Chr`6` : `30,202,571`	0.999	0.001	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.999	0.001	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.999	0.001	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.999	0.001	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.999	0.001	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.999	0.001	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.999	0.001	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.999	0.001	0.000
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	0.999	0.001	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.999	0.001	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.999	0.001	0.000
rs2239529 lBF = `220.309` Chr`6` : `30,078,330`	0.999	0.001	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.999	0.001	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.999	0.001	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.999	0.001	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.999	0.001	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.999	0.001	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.999	0.001	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.999	0.001	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.999	0.001	0.000
rs2844793 lBF = `219.632` Chr`6` : `30,080,496`	0.999	0.001	0.000
rs3130782 lBF = `262.171` Chr`6` : `30,914,843`	0.999	0.001	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.999	0.001	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.999	0.001	0.000
rs2765220 lBF = `145.929` Chr`6` : `28,769,671`	0.999	0.001	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.999	0.001	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.999	0.001	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.999	0.001	0.000
rs2022083 lBF = `228.09` Chr`6` : `30,213,540`	0.999	0.001	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.999	0.001	0.000
rs3094071 lBF = `230.496` Chr`6` : `30,231,768`	0.999	0.001	0.000
rs2535332 lBF = `137.95` Chr`6` : `30,813,249`	0.999	0.001	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.999	0.001	0.000
rs2523443 lBF = `227.406` Chr`6` : `29,415,464`	0.999	0.001	0.000
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.999	0.001	0.000
rs3129702 lBF = `232.122` Chr`6` : `30,232,785`	0.999	0.001	0.000
rs9788682 lBF = `16.534` Chr`15` : `78,802,586`	0.000	0.001	0.999
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.999	0.001	0.000
rs209181 lBF = `143.701` Chr`6` : `28,792,477`	0.999	0.001	0.000
rs2523989 lBF = `221.533` Chr`6` : `30,078,275`	0.999	0.001	0.000
rs3128982 lBF = `183.245` Chr`6` : `31,417,191`	0.999	0.001	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.999	0.001	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.999	0.001	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.999	0.001	0.000
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.999	0.001	0.000
rs3131783 lBF = `113.654` Chr`6` : `30,932,068`	0.999	0.001	0.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	0.999	0.001	0.000
rs1535039 lBF = `224.978` Chr`6` : `29,411,432`	0.999	0.001	0.000
rs615552 lBF = `132.45` Chr`9` : `22,026,077`	0.000	0.001	0.999
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.999	0.001	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.999	0.001	0.000
rs3132657 lBF = `228.489` Chr`6` : `30,233,513`	0.998	0.002	0.000
rs9257809 lBF = `220.028` Chr`6` : `29,356,331`	0.998	0.002	0.000
rs684513 lBF = `14.0992` Chr`15` : `78,858,400`	0.000	0.002	0.998
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.998	0.002	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.998	0.002	0.000
rs12214416 lBF = `11.1563` Chr`6` : `160,910,517`	0.000	0.002	0.998
rs111969884 lBF = `19.4433` Chr`6` : `12,904,138`	0.998	0.002	0.000
rs3132659 lBF = `232.342` Chr`6` : `30,231,330`	0.998	0.002	0.000
rs523096 lBF = `126.227` Chr`9` : `22,019,129`	0.000	0.002	0.998
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.998	0.002	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	0.002	0.998
rs1233491 lBF = `226.91` Chr`6` : `29,461,730`	0.998	0.002	0.000
rs6935921 lBF = `47.243` Chr`6` : `161,108,536`	0.000	0.002	0.998
rs3094073 lBF = `232.798` Chr`6` : `30,231,224`	0.998	0.002	0.000
rs3093988 lBF = `129.906` Chr`6` : `31,492,453`	0.998	0.002	0.000
rs112239423 lBF = `13.0319` Chr`6` : `12,950,520`	0.998	0.002	0.000
rs3132658 lBF = `231.971` Chr`6` : `30,231,666`	0.998	0.002	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.998	0.002	0.000
rs3094630 lBF = `232.417` Chr`6` : `30,232,436`	0.998	0.002	0.000
rs2844569 lBF = `203.491` Chr`6` : `31,336,604`	0.998	0.002	0.000
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.998	0.002	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.998	0.002	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.998	0.002	0.000
rs429479 lBF = `220.258` Chr`6` : `29,372,323`	0.998	0.002	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.998	0.002	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.998	0.002	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.998	0.002	0.000
rs2844773 lBF = `234.47` Chr`6` : `30,207,495`	0.998	0.002	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.998	0.002	0.000
rs4709408 lBF = `84.0955` Chr`6` : `160,625,231`	0.998	0.002	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.998	0.002	0.000
rs442694 lBF = `223.716` Chr`6` : `29,356,687`	0.998	0.002	0.000
rs2517598 lBF = `209.688` Chr`6` : `30,080,274`	0.998	0.002	0.000
rs2249099 lBF = `215.398` Chr`6` : `30,079,307`	0.998	0.002	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	0.002	0.998
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.998	0.002	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.998	0.002	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.998	0.002	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.998	0.002	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.998	0.002	0.000
rs2746150 lBF = `227.263` Chr`6` : `29,442,701`	0.998	0.002	0.000
rs2517645 lBF = `222.009` Chr`6` : `30,122,623`	0.998	0.002	0.000
rs3094072 lBF = `229.1` Chr`6` : `30,231,755`	0.998	0.002	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.998	0.002	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.998	0.002	0.000
rs2523985 lBF = `215.269` Chr`6` : `30,081,334`	0.998	0.002	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.998	0.002	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.997	0.003	0.000
rs1233489 lBF = `226.669` Chr`6` : `29,463,043`	0.997	0.003	0.000
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	0.003	0.997
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.997	0.003	0.000
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.997	0.003	0.000
rs2442744 lBF = `181.524` Chr`6` : `31,345,376`	0.997	0.003	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.997	0.003	0.000
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.997	0.003	0.000
rs3099836 lBF = `183.222` Chr`6` : `31,418,070`	0.997	0.003	0.000
rs34182778 lBF = `229.887` Chr`6` : `31,084,942`	0.997	0.003	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.997	0.003	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	0.003	0.997
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.997	0.003	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.997	0.003	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.997	0.003	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.997	0.003	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.997	0.003	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.997	0.003	0.000
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	0.003	0.997
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.997	0.003	0.000
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.000	0.003	0.997
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	0.000	0.003	0.997
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.997	0.003	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.997	0.003	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.996	0.004	0.000
rs1811197 lBF = `124.907` Chr`6` : `31,327,660`	0.996	0.004	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.996	0.004	0.000
rs3129683 lBF = `143.965` Chr`6` : `29,286,670`	0.996	0.004	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.996	0.004	0.000
rs3094220 lBF = `239.557` Chr`6` : `31,082,987`	0.996	0.004	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.996	0.004	0.000
rs573687 lBF = `96.1061` Chr`9` : `22,011,642`	0.000	0.004	0.996
rs12440014 lBF = `17.3365` Chr`15` : `78,926,726`	0.000	0.004	0.996
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.996	0.004	0.000
rs3130557 lBF = `159.98` Chr`6` : `31,094,703`	0.996	0.004	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.996	0.004	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.996	0.004	0.000
rs2844545 lBF = `180.307` Chr`6` : `31,345,229`	0.996	0.004	0.000
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.000	0.004	0.996
rs938682 lBF = `19.6295` Chr`15` : `78,896,547`	0.000	0.004	0.996
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.996	0.004	0.000
rs204989 lBF = `218.203` Chr`6` : `32,161,852`	0.996	0.004	0.000
rs3118361 lBF = `208.226` Chr`6` : `28,898,287`	0.996	0.004	0.000
rs9393929 lBF = `195.915` Chr`6` : `28,696,063`	0.996	0.004	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.996	0.004	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.996	0.004	0.000
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.996	0.004	0.000
rs2151280 lBF = `148.877` Chr`9` : `22,034,719`	0.995	0.005	0.000
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	0.005	0.995
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	0.005	0.995
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.995	0.005	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.995	0.005	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.995	0.005	0.000
rs8042374 lBF = `18.7395` Chr`15` : `78,908,032`	0.000	0.005	0.995
rs8042059 lBF = `18.7395` Chr`15` : `78,907,859`	0.000	0.005	0.995
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	0.005	0.995
rs3095298 lBF = `239.113` Chr`6` : `31,082,932`	0.995	0.005	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.995	0.005	0.000
rs8043009 lBF = `18.5049` Chr`15` : `78,908,154`	0.000	0.005	0.995
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.995	0.005	0.000
rs7177514 lBF = `18.6876` Chr`15` : `78,907,406`	0.000	0.005	0.995
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.995	0.005	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	0.005	0.995
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	0.005	0.995
rs8042494 lBF = `18.6762` Chr`15` : `78,908,010`	0.000	0.005	0.995
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	0.005	0.995
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.995	0.005	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.995	0.005	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	0.005	0.995
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.995	0.005	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.995	0.005	0.000
rs6495308 lBF = `18.9316` Chr`15` : `78,907,656`	0.000	0.005	0.995
rs2535296 lBF = `120.164` Chr`6` : `31,060,219`	0.995	0.005	0.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	0.005	0.995
rs905739 lBF = `18.6441` Chr`15` : `78,845,110`	0.000	0.005	0.995
rs199347 lBF = `3.57318` Chr`7` : `23,293,746`	0.000	0.005	0.995
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	0.005	0.995
rs12441354 lBF = `19.2446` Chr`15` : `78,821,016`	0.000	0.005	0.995
rs2036534 lBF = `19.5552` Chr`15` : `78,826,948`	0.000	0.005	0.995
rs35212593 lBF = `18.8452` Chr`15` : `78,831,826`	0.000	0.005	0.995
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.000	0.005	0.995
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	0.005	0.995
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.995	0.005	0.000
rs7169584 lBF = `19.7428` Chr`15` : `78,822,660`	0.000	0.005	0.995
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.000	0.006	0.994
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.994	0.006	0.000
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.000	0.006	0.994
rs2507984 lBF = `181.254` Chr`6` : `31,345,596`	0.994	0.006	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.994	0.006	0.000
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.994	0.006	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.994	0.006	0.000
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	0.006	0.994
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	0.006	0.994
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.994	0.006	0.000
rs3132390 lBF = `206.328` Chr`6` : `28,832,788`	0.994	0.006	0.000
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.000	0.006	0.994
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.994	0.006	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.994	0.006	0.000
rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	0.000	0.006	0.994
rs34664138 lBF = `18.8882` Chr`15` : `78,831,624`	0.000	0.006	0.994
rs3130977 lBF = `228.553` Chr`6` : `31,081,989`	0.994	0.006	0.000
rs3130893 lBF = `213.192` Chr`6` : `28,980,707`	0.994	0.006	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.994	0.006	0.000
rs3131621 lBF = `160.035` Chr`6` : `31,425,499`	0.994	0.006	0.000
rs3120139 lBF = `45.6848` Chr`6` : `160,741,622`	0.994	0.006	0.000
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.000	0.006	0.994
rs3129837 lBF = `231.864` Chr`6` : `30,306,306`	0.994	0.006	0.000
rs7181447 lBF = `19.7385` Chr`15` : `78,814,567`	0.000	0.006	0.994
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	0.006	0.994
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.994	0.006	0.000
rs7181245 lBF = `19.7337` Chr`15` : `78,814,389`	0.000	0.006	0.994
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.994	0.006	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.994	0.006	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	0.006	0.994
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.994	0.006	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	0.007	0.993
rs7171869 lBF = `19.4273` Chr`15` : `78,900,909`	0.993	0.007	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.993	0.007	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.993	0.007	0.000
rs8042849 lBF = `34.3643` Chr`15` : `78,817,929`	0.000	0.007	0.993
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	0.000	0.007	0.993
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.993	0.007	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.993	0.007	0.000
rs3094216 lBF = `239.383` Chr`6` : `31,084,048`	0.993	0.007	0.000
rs12439240 lBF = `18.4763` Chr`15` : `78,829,091`	0.000	0.007	0.993
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.993	0.007	0.000
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.000	0.007	0.993
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.993	0.007	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	0.007	0.993
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.993	0.007	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.993	0.007	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.993	0.007	0.000
rs3131934 lBF = `112.591` Chr`6` : `30,931,844`	0.993	0.007	0.000
rs12910984 lBF = `17.509` Chr`15` : `78,891,627`	0.000	0.008	0.992
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.992	0.008	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	0.008	0.992
rs3117427 lBF = `198.849` Chr`6` : `29,274,136`	0.992	0.008	0.000
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	0.008	0.992
rs3130906 lBF = `155.783` Chr`6` : `31,425,181`	0.992	0.008	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.992	0.008	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.992	0.008	0.000
rs2568485 lBF = `11.2894` Chr`15` : `78,752,114`	0.992	0.008	0.000
rs2656071 lBF = `10.9174` Chr`15` : `78,745,343`	0.992	0.008	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.992	0.008	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.992	0.008	0.000
rs2568488 lBF = `10.9602` Chr`15` : `78,736,593`	0.992	0.008	0.000
rs2915695 lBF = `10.927` Chr`15` : `78,739,471`	0.992	0.008	0.000
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	0.008	0.992
rs1233493 lBF = `223.835` Chr`6` : `29,458,241`	0.992	0.008	0.000
rs924840 lBF = `11.0346` Chr`15` : `78,731,808`	0.992	0.008	0.000
rs9257248 lBF = `208.12` Chr`6` : `28,803,291`	0.992	0.008	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.991	0.009	0.000
rs6908726 lBF = `198.546` Chr`6` : `28,671,343`	0.991	0.009	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.991	0.009	0.000
rs146733600 lBF = `68.4232` Chr`6` : `32,573,760`	0.991	0.009	0.000
rs2656070 lBF = `10.9751` Chr`15` : `78,730,252`	0.991	0.009	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	0.009	0.991
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.991	0.009	0.000
rs2568483 lBF = `10.989` Chr`15` : `78,752,343`	0.991	0.009	0.000
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.991	0.009	0.000
rs1233478 lBF = `170.338` Chr`6` : `29,477,821`	0.991	0.009	0.000
rs3094122 lBF = `186.196` Chr`6` : `30,728,360`	0.991	0.009	0.000
rs1964678 lBF = `20.5711` Chr`15` : `78,754,000`	0.000	0.009	0.991
rs2938671 lBF = `11.1176` Chr`15` : `78,732,754`	0.991	0.009	0.000
rs2746149 lBF = `222.222` Chr`6` : `29,435,355`	0.990	0.010	0.000
rs12903285 lBF = `23.1095` Chr`15` : `78,778,953`	0.990	0.010	0.000
rs41272114 lBF = `9.8013` Chr`6` : `161,006,077`	0.000	0.010	0.990
rs2656069 lBF = `10.9258` Chr`15` : `78,745,707`	0.990	0.010	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.990	0.010	0.000
rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.990	0.010	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.990	0.010	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.990	0.010	0.000
rs2656072 lBF = `10.8529` Chr`15` : `78,744,292`	0.990	0.010	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.990	0.010	0.000
rs2568493 lBF = `10.9512` Chr`15` : `78,740,233`	0.990	0.010	0.000
rs2656073 lBF = `10.8682` Chr`15` : `78,742,276`	0.990	0.010	0.000
rs2958719 lBF = `10.9043` Chr`15` : `78,743,029`	0.990	0.010	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.990	0.010	0.000
rs2568490 lBF = `10.9291` Chr`15` : `78,738,370`	0.990	0.010	0.000
rs2036533 lBF = `10.5388` Chr`15` : `78,781,687`	0.000	0.010	0.990
rs2251396 lBF = `222.188` Chr`6` : `31,364,707`	0.990	0.010	0.000
rs7174348 lBF = `10.7242` Chr`15` : `78,792,439`	0.000	0.010	0.990
rs10851906 lBF = `10.4861` Chr`15` : `78,774,676`	0.000	0.010	0.990
rs2036529 lBF = `10.5537` Chr`15` : `78,726,272`	0.990	0.010	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	0.010	0.990
rs3132550 lBF = `240.835` Chr`6` : `31,086,048`	0.990	0.010	0.000
rs8042260 lBF = `23.6429` Chr`15` : `78,774,374`	0.990	0.010	0.000
rs3131343 lBF = `208.216` Chr`6` : `28,775,564`	0.989	0.011	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.989	0.011	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.989	0.011	0.000
rs12899351 lBF = `23.481` Chr`15` : `78,792,398`	0.989	0.011	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.989	0.011	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.989	0.011	0.000
rs9263708 lBF = `251.317` Chr`6` : `31,095,270`	0.989	0.011	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.989	0.011	0.000
rs74925218 lBF = `10.5539` Chr`15` : `78,796,732`	0.000	0.011	0.989
rs4362358 lBF = `23.1905` Chr`15` : `78,796,104`	0.989	0.011	0.000
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.989	0.011	0.000
rs3118357 lBF = `210.247` Chr`6` : `28,802,149`	0.989	0.011	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.989	0.011	0.000
rs660240 lBF = `127.963` Chr`1` : `109,817,838`	0.000	0.011	0.989
rs4324798 lBF = `208.631` Chr`6` : `28,776,117`	0.989	0.011	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.989	0.011	0.000
rs3118359 lBF = `213.695` Chr`6` : `28,793,904`	0.988	0.012	0.000
rs3094694 lBF = `198.27` Chr`6` : `30,451,904`	0.988	0.012	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.988	0.012	0.000
rs965604 lBF = `23.272` Chr`15` : `78,789,223`	0.988	0.012	0.000
rs16969894 lBF = `10.8894` Chr`15` : `78,776,456`	0.000	0.012	0.988
rs12904234 lBF = `23.0302` Chr`15` : `78,779,384`	0.988	0.012	0.000
rs2938674 lBF = `9.93244` Chr`15` : `78,757,913`	0.000	0.012	0.988
rs12903295 lBF = `23.0086` Chr`15` : `78,778,972`	0.988	0.012	0.000
rs36146269 lBF = `23.2878` Chr`15` : `78,779,510`	0.988	0.012	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.988	0.012	0.000
rs33932084 lBF = `193.061` Chr`6` : `28,268,824`	0.988	0.012	0.000
rs28511883 lBF = `10.4965` Chr`15` : `78,783,683`	0.000	0.012	0.988
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.988	0.012	0.000
rs12101809 lBF = `10.4802` Chr`15` : `78,779,801`	0.000	0.012	0.988
rs1062980 lBF = `21.6264` Chr`15` : `78,792,527`	0.000	0.012	0.988
rs9672608 lBF = `10.0134` Chr`15` : `78,797,463`	0.000	0.012	0.988
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.988	0.012	0.000
rs35031105 lBF = `10.4116` Chr`15` : `78,772,806`	0.000	0.012	0.988
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.987	0.013	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.987	0.013	0.000
rs2568497 lBF = `9.97824` Chr`15` : `78,721,397`	0.987	0.013	0.000
rs12593229 lBF = `23.234` Chr`15` : `78,765,290`	0.987	0.013	0.000
rs1634714 lBF = `80.1762` Chr`6` : `30,951,561`	0.987	0.013	0.000
rs12594711 lBF = `23.1532` Chr`15` : `78,793,921`	0.987	0.013	0.000
rs114987209 lBF = `12.4094` Chr`1` : `195,017,692`	0.987	0.013	0.000
rs4887059 lBF = `23.2298` Chr`15` : `78,782,095`	0.987	0.013	0.000
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.000	0.013	0.987
rs3094116 lBF = `185.203` Chr`6` : `30,738,408`	0.987	0.013	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.987	0.013	0.000
rs3130834 lBF = `217.35` Chr`6` : `29,248,149`	0.987	0.013	0.000
rs602633 lBF = `124.913` Chr`1` : `109,821,511`	0.000	0.013	0.987
rs2656056 lBF = `10.2112` Chr`15` : `78,722,519`	0.987	0.013	0.000
rs2568499 lBF = `10.2112` Chr`15` : `78,722,359`	0.987	0.013	0.000
rs12910910 lBF = `23.6547` Chr`15` : `78,767,850`	0.987	0.013	0.000
rs11637656 lBF = `23.7386` Chr`15` : `78,751,961`	0.987	0.013	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.987	0.013	0.000
rs12916801 lBF = `23.5612` Chr`15` : `78,769,130`	0.987	0.013	0.000
rs8043227 lBF = `23.5612` Chr`15` : `78,768,871`	0.987	0.013	0.000
rs3117439 lBF = `205.088` Chr`6` : `29,266,483`	0.987	0.013	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.987	0.013	0.000
rs2524078 lBF = `156.439` Chr`6` : `31,242,649`	0.987	0.013	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.987	0.013	0.000
rs4887057 lBF = `21.4579` Chr`15` : `78,760,918`	0.000	0.013	0.987
rs28480606 lBF = `9.70409` Chr`15` : `78,762,313`	0.000	0.014	0.986
rs7174190 lBF = `9.73367` Chr`15` : `78,763,617`	0.000	0.014	0.986
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.986	0.014	0.000
rs3129791 lBF = `212.141` Chr`6` : `28,954,293`	0.986	0.014	0.000
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.986	0.014	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.986	0.014	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.986	0.014	0.000
rs3130838 lBF = `210.533` Chr`6` : `28,866,528`	0.985	0.015	0.000
rs13180 lBF = `20.7136` Chr`15` : `78,789,488`	0.000	0.015	0.985
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.985	0.015	0.000
rs886423 lBF = `103.95` Chr`6` : `30,782,205`	0.985	0.015	0.000
rs1504549 lBF = `23.3155` Chr`15` : `78,766,629`	0.985	0.015	0.000
rs958025 lBF = `9.05584` Chr`15` : `78,759,348`	0.000	0.015	0.985
rs1311918 lBF = `208.355` Chr`6` : `28,753,646`	0.985	0.015	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.985	0.015	0.000
rs144447022 lBF = `217.73` Chr`6` : `29,244,219`	0.985	0.015	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

0.9911

Cluster X0282

log Bayes Factor = 38.0098

contains 3 variants

0.5987

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3502

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2472

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1795

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9999

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9999

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9999

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9999

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9998

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9998

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9998

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.9998

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9998

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9997

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9997

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9997

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9996

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9994

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9993

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9978

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9975

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9974

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9973

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9970

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9962

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9956

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9939

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9936

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9931

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9901

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9874

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9867

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9862

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9850

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9770

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9766

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9755

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9747

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9699

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9584

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9572

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9570

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9566

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9561

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9491

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9453

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9447

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9433

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9294

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9256

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9206

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8980

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8917

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8831

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8756

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.8648

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8530

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8517

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8417

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8394

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8313

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8194

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8144

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8136

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8100

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7935

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7914

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7908

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7785

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7714

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7590

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7564

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7554

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7183

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7118

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6962

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6934

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6890

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6870

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6860

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6671

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6633

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.6567

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6559

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6391

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6121

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.6039

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5974

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5557

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5520

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5520

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5515

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5402

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5264

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5224

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5027

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5021

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4878

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4865

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4861

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4794

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4556

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4486

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4443

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4415

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4253

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4211

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4197

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4164

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.4118

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4087

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3986

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.3881

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3867

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3862

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3856

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3738

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3697

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3612

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3378

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3326

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3290

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2938

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2892

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2869

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2857

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2772

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2763

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2729

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2698

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2655

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2643

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2602

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2539

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2525

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2506

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2440

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2403

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2337

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2221

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2209

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2207

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2189

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2158

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2150

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2147

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2142

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2077

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2054

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1999

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1992

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1982

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1955

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1862

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1836

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1820

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1811

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1806

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1800

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1788

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1785

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1784

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1765

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1755

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1742

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1737

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1734

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1723

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1701

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1691

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1689

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1687

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1687

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1678

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1677

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1660

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1643

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1617

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1604

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1511

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1458

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1404

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1379

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1373

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1353

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1180

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1113

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1002

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0979

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0915

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0818

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0747

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0667

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0645

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0579

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0528

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)

Hospitalization Episode Statistics (`HES`)