TreeWAS – [H28.8] Other disorders of lens in diseases classified elsewhere

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
Affx-28423542 lBF = `105.199` Chr`6` : `30,075,864`	0.579	0.420	0.000
rs12108452 lBF = `9.62296` Chr`4` : `95,300,688`	0.578	0.422	0.000
rs2023472 lBF = `98.8104` Chr`6` : `30,075,864`	0.000	0.423	0.576
rs2500452 lBF = `5.77929` Chr`1` : `51,458,372`	0.000	0.439	0.561
rs7698171 lBF = `5.08652` Chr`4` : `95,089,869`	0.555	0.445	0.000
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.553	0.447	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.552	0.447	0.000
rs9265549 lBF = `194.028` Chr`6` : `31,298,240`	0.551	0.448	0.000
rs3129720 lBF = `342.091` Chr`6` : `32,663,631`	0.548	0.452	0.000
rs2242659 lBF = `276.776` Chr`6` : `31,601,513`	0.547	0.453	0.000
rs805301 lBF = `275.726` Chr`6` : `31,618,121`	0.546	0.454	0.000
rs1043618 lBF = `248.587` Chr`6` : `31,783,507`	0.546	0.454	0.000
rs805257 lBF = `274.411` Chr`6` : `31,634,193`	0.546	0.454	0.000
rs805303 lBF = `277.164` Chr`6` : `31,616,366`	0.546	0.454	0.000
rs67050149 lBF = `6.33733` Chr`17` : `79,557,043`	0.541	0.458	0.000
rs805294 lBF = `275.309` Chr`6` : `31,688,217`	0.539	0.461	0.000
rs805304 lBF = `274.178` Chr`6` : `31,698,088`	0.539	0.461	0.000
rs707938 lBF = `236.606` Chr`6` : `31,729,359`	0.538	0.462	0.000
rs707916 lBF = `270.513` Chr`6` : `31,697,558`	0.538	0.462	0.000
rs1679013 lBF = `8.6352` Chr`9` : `22,206,987`	0.538	0.462	0.000
rs707929 lBF = `287.181` Chr`6` : `31,742,067`	0.537	0.463	0.000
rs805305 lBF = `268.824` Chr`6` : `31,697,387`	0.537	0.463	0.000
rs707928 lBF = `282.972` Chr`6` : `31,742,590`	0.536	0.464	0.000
rs1233478 lBF = `170.338` Chr`6` : `29,477,821`	0.530	0.470	0.000
rs9467714 lBF = `110.852` Chr`6` : `26,340,785`	0.528	0.472	0.000
rs9257802 lBF = `148.114` Chr`6` : `29,343,355`	0.527	0.473	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.525	0.475	0.000
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	0.524	0.476	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.520	0.480	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	0.480	0.519
rs10025074 lBF = `9.18864` Chr`4` : `95,474,562`	0.518	0.482	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.517	0.483	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.517	0.483	0.000
rs7740197 lBF = `63.4771` Chr`6` : `26,663,478`	0.515	0.485	0.000
rs6075524 lBF = `19.2434` Chr`20` : `19,509,918`	0.514	0.486	0.000
rs2290419 lBF = `14.6579` Chr`11` : `68,919,649`	0.514	0.486	0.000
rs11228530 lBF = `13.8992` Chr`11` : `68,918,985`	0.514	0.486	0.000
rs3138142 lBF = `10.3889` Chr`12` : `56,115,585`	0.000	0.486	0.514
rs3138141 lBF = `9.86503` Chr`12` : `56,115,778`	0.000	0.486	0.514
rs4814864 lBF = `22.6761` Chr`20` : `19,469,817`	0.514	0.486	0.000
rs6046144 lBF = `21.5897` Chr`20` : `19,477,390`	0.514	0.486	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.514	0.486	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.514	0.486	0.000
rs74342245 lBF = `21.2769` Chr`11` : `68,938,776`	0.514	0.486	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.514	0.486	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.514	0.486	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.514	0.486	0.000
rs56108400 lBF = `5.8095` Chr`12` : `56,213,297`	0.000	0.486	0.514
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.514	0.486	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.514	0.486	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.514	0.486	0.000
rs9666585 lBF = `10.3192` Chr`11` : `9,235,473`	0.514	0.486	0.000
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.514	0.486	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.514	0.486	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.514	0.486	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.514	0.486	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.514	0.486	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.513	0.486	0.000
rs9467704 lBF = `146.867` Chr`6` : `26,319,486`	0.513	0.486	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.513	0.486	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.513	0.486	0.000
rs1074145 lBF = `3.13927` Chr`10` : `96,681,846`	0.000	0.486	0.513
rs6903015 lBF = `151.174` Chr`6` : `26,322,526`	0.513	0.486	0.000
rs1977 lBF = `133.04` Chr`6` : `26,377,546`	0.513	0.486	0.000
rs9467711 lBF = `146.775` Chr`6` : `26,332,605`	0.513	0.487	0.000
rs9379858 lBF = `135.263` Chr`6` : `26,367,689`	0.513	0.487	0.000
rs2280543 lBF = `7.77563` Chr`11` : `203,788`	0.513	0.487	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.513	0.487	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.513	0.487	0.000
rs9393708 lBF = `137.887` Chr`6` : `26,362,643`	0.513	0.487	0.000
rs12176317 lBF = `138.293` Chr`6` : `26,372,786`	0.513	0.487	0.000
rs9379859 lBF = `137.014` Chr`6` : `26,369,549`	0.513	0.487	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	0.513	0.487	0.000
rs1979 lBF = `139.093` Chr`6` : `26,377,591`	0.513	0.487	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.513	0.487	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.513	0.487	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.513	0.487	0.000
rs9393713 lBF = `140.003` Chr`6` : `26,373,678`	0.513	0.487	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	0.513	0.487	0.000
rs1233493 lBF = `223.835` Chr`6` : `29,458,241`	0.513	0.487	0.000
rs9393705 lBF = `134.475` Chr`6` : `26,361,011`	0.513	0.487	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.513	0.487	0.000
rs9393714 lBF = `136.87` Chr`6` : `26,373,740`	0.513	0.487	0.000
rs9257809 lBF = `220.028` Chr`6` : `29,356,331`	0.513	0.487	0.000
rs9358934 lBF = `135.421` Chr`6` : `26,363,755`	0.513	0.487	0.000
rs2072803 lBF = `139.247` Chr`6` : `26,392,515`	0.513	0.487	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.513	0.487	0.000
rs1535039 lBF = `224.978` Chr`6` : `29,411,432`	0.513	0.487	0.000
rs7749305 lBF = `164.186` Chr`6` : `27,446,566`	0.513	0.487	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.513	0.487	0.000
rs4986894 lBF = `2.78295` Chr`10` : `96,522,365`	0.000	0.487	0.513
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.513	0.487	0.000
rs3000140 lBF = `11.5012` Chr`1` : `80,000,648`	0.512	0.487	0.000
rs9379855 lBF = `136.857` Chr`6` : `26,364,930`	0.512	0.487	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.512	0.487	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	0.512	0.488	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.512	0.488	0.000
rs72841509 lBF = `133.609` Chr`6` : `26,368,279`	0.512	0.488	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.512	0.488	0.000
rs62106258 lBF = `13.2334` Chr`2` : `417,167`	0.000	0.488	0.512
rs7775835 lBF = `174.968` Chr`6` : `28,678,357`	0.512	0.488	0.000
rs149943 lBF = `158.636` Chr`6` : `28,002,388`	0.512	0.488	0.000
rs12767583 lBF = `2.62579` Chr`10` : `96,547,463`	0.000	0.488	0.512
rs6583954 lBF = `2.57148` Chr`10` : `96,534,263`	0.000	0.488	0.512
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.512	0.488	0.000
rs34788973 lBF = `164.209` Chr`6` : `27,879,200`	0.512	0.488	0.000
rs1233489 lBF = `226.669` Chr`6` : `29,463,043`	0.512	0.488	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.512	0.488	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.512	0.488	0.000
rs2746149 lBF = `222.222` Chr`6` : `29,435,355`	0.512	0.488	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	0.512	0.488	0.000
rs148210763 lBF = `66.5265` Chr`6` : `26,638,503`	0.512	0.488	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.511	0.488	0.000
rs77135516 lBF = `13.8756` Chr`1` : `229,994,958`	0.511	0.488	0.000
rs9379851 lBF = `132.223` Chr`6` : `26,354,780`	0.511	0.488	0.000
rs404240 lBF = `232.726` Chr`6` : `29,523,957`	0.511	0.488	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.511	0.488	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.511	0.489	0.000
rs41266839 lBF = `173.744` Chr`6` : `26,409,890`	0.511	0.489	0.000
rs2844793 lBF = `219.632` Chr`6` : `30,080,496`	0.511	0.489	0.000
rs13195210 lBF = `65.5785` Chr`6` : `26,646,521`	0.511	0.489	0.000
rs115525301 lBF = `14.6439` Chr`5` : `176,932,440`	0.511	0.489	0.000
rs1046089 lBF = `282.881` Chr`6` : `31,602,967`	0.511	0.489	0.000
rs442694 lBF = `223.716` Chr`6` : `29,356,687`	0.511	0.489	0.000
rs1233480 lBF = `226.569` Chr`6` : `29,477,414`	0.511	0.489	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.511	0.489	0.000
rs202906 lBF = `157.084` Chr`6` : `28,011,652`	0.511	0.489	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.511	0.489	0.000
rs3734542 lBF = `150.603` Chr`6` : `26,468,326`	0.511	0.489	0.000
rs7749823 lBF = `90.5695` Chr`6` : `26,158,079`	0.511	0.489	0.000
rs13195402 lBF = `163.895` Chr`6` : `26,463,575`	0.511	0.489	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.511	0.489	0.000
rs2746150 lBF = `227.263` Chr`6` : `29,442,701`	0.511	0.489	0.000
rs3094127 lBF = `214.194` Chr`6` : `30,697,447`	0.511	0.489	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.511	0.489	0.000
rs9270984 lBF = `225.558` Chr`6` : `32,573,991`	0.511	0.489	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.510	0.489	0.000
rs1233491 lBF = `226.91` Chr`6` : `29,461,730`	0.510	0.489	0.000
rs3118361 lBF = `208.226` Chr`6` : `28,898,287`	0.510	0.489	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.510	0.489	0.000
rs79616469 lBF = `11.2572` Chr`2` : `48,875,108`	0.510	0.489	0.000
rs35555795 lBF = `149.56` Chr`6` : `26,509,382`	0.510	0.489	0.000
rs9257805 lBF = `191.753` Chr`6` : `29,346,329`	0.510	0.489	0.000
rs201002 lBF = `166.473` Chr`6` : `27,808,192`	0.510	0.489	0.000
rs73725220 lBF = `7.2576` Chr`6` : `16,700,060`	0.510	0.489	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.510	0.490	0.000
rs149990 lBF = `154.644` Chr`6` : `27,998,258`	0.510	0.490	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.510	0.490	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.510	0.490	0.000
rs200953 lBF = `163.948` Chr`6` : `27,837,267`	0.510	0.490	0.000
rs200490 lBF = `163.621` Chr`6` : `27,796,935`	0.510	0.490	0.000
rs2523443 lBF = `227.406` Chr`6` : `29,415,464`	0.510	0.490	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.510	0.490	0.000
rs13214027 lBF = `133.595` Chr`6` : `26,573,631`	0.510	0.490	0.000
rs10484439 lBF = `159.711` Chr`6` : `26,309,908`	0.510	0.490	0.000
rs9257793 lBF = `196.605` Chr`6` : `29,335,154`	0.510	0.490	0.000
rs2239529 lBF = `220.309` Chr`6` : `30,078,330`	0.510	0.490	0.000
rs115247800 lBF = `26.4799` Chr`6` : `31,606,813`	0.510	0.490	0.000
rs3857546 lBF = `88.7695` Chr`6` : `26,157,762`	0.509	0.490	0.000
rs11717383 lBF = `4.18622` Chr`3` : `52,287,468`	0.000	0.490	0.509
rs13195509 lBF = `149.354` Chr`6` : `26,463,660`	0.509	0.490	0.000
rs13198716 lBF = `173.951` Chr`6` : `26,582,035`	0.509	0.490	0.000
rs112920510 lBF = `7.84215` Chr`4` : `95,488,920`	0.509	0.491	0.000
rs114995475 lBF = `14.7357` Chr`6` : `52,453,912`	0.509	0.491	0.000
rs13213200 lBF = `141.767` Chr`6` : `26,755,915`	0.509	0.491	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.509	0.491	0.000
rs75621054 lBF = `15.8715` Chr`1` : `242,378,718`	0.509	0.491	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.509	0.491	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.509	0.491	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.509	0.491	0.000
rs429479 lBF = `220.258` Chr`6` : `29,372,323`	0.509	0.491	0.000
rs6904596 lBF = `166.569` Chr`6` : `27,491,299`	0.509	0.491	0.000
rs55834529 lBF = `176.219` Chr`6` : `27,072,542`	0.509	0.491	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.509	0.491	0.000
rs200995 lBF = `166.252` Chr`6` : `27,813,694`	0.508	0.491	0.000
rs200482 lBF = `164.144` Chr`6` : `27,773,904`	0.508	0.491	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.508	0.491	0.000
rs9379897 lBF = `143.879` Chr`6` : `26,601,526`	0.508	0.491	0.000
rs17023661 lBF = `2.09285` Chr`3` : `86,968,509`	0.508	0.491	0.000
rs2523989 lBF = `221.533` Chr`6` : `30,078,275`	0.508	0.491	0.000
rs175597 lBF = `165.738` Chr`6` : `27,810,626`	0.508	0.492	0.000
rs9393737 lBF = `67.5687` Chr`6` : `26,617,306`	0.508	0.492	0.000
rs3117427 lBF = `198.849` Chr`6` : `29,274,136`	0.508	0.492	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.507	0.493	0.000
rs370155 lBF = `164.302` Chr`6` : `27,782,031`	0.507	0.493	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.507	0.493	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.507	0.493	0.000
rs148428208 lBF = `4.46774` Chr`1` : `185,566,551`	0.507	0.493	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.507	0.493	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.507	0.493	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.506	0.493	0.000
rs4634439 lBF = `142.37` Chr`6` : `26,598,004`	0.506	0.493	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.506	0.494	0.000
rs2523986 lBF = `233.642` Chr`6` : `30,081,246`	0.506	0.494	0.000
rs144447022 lBF = `217.73` Chr`6` : `29,244,219`	0.506	0.494	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.506	0.494	0.000
rs3799383 lBF = `132.334` Chr`6` : `26,510,748`	0.505	0.494	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.505	0.495	0.000
rs3130837 lBF = `209.57` Chr`6` : `28,948,092`	0.505	0.495	0.000
rs200483 lBF = `168.443` Chr`6` : `27,774,824`	0.504	0.495	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	0.504	0.495	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.504	0.495	0.000
rs3749971 lBF = `211.982` Chr`6` : `29,342,775`	0.504	0.496	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.504	0.496	0.000
rs9311474 lBF = `3.50634` Chr`3` : `52,338,852`	0.000	0.496	0.504
rs3734543 lBF = `141.479` Chr`6` : `26,468,545`	0.504	0.496	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.504	0.496	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.504	0.496	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.504	0.496	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.504	0.496	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.504	0.496	0.000
rs3130834 lBF = `217.35` Chr`6` : `29,248,149`	0.503	0.496	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.503	0.496	0.000
rs11678166 lBF = `11.2921` Chr`2` : `61,157,720`	0.503	0.496	0.000
rs16998084 lBF = `5.36261` Chr`21` : `42,471,628`	0.503	0.496	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.503	0.496	0.000
rs2523987 lBF = `233.193` Chr`6` : `30,079,993`	0.503	0.496	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.503	0.497	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.503	0.497	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.503	0.497	0.000
rs12777823 lBF = `1.7707` Chr`10` : `96,405,502`	0.000	0.497	0.503
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.502	0.497	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.502	0.497	0.000
rs10908523 lBF = `11.6102` Chr`1` : `156,830,218`	0.502	0.497	0.000
rs3130838 lBF = `210.533` Chr`6` : `28,866,528`	0.502	0.498	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.502	0.498	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.502	0.498	0.000
rs1541269 lBF = `254.96` Chr`6` : `30,103,360`	0.502	0.498	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.502	0.498	0.000
rs3118359 lBF = `213.695` Chr`6` : `28,793,904`	0.502	0.498	0.000
rs3117425 lBF = `206.73` Chr`6` : `29,260,431`	0.502	0.498	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.502	0.498	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.501	0.498	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.501	0.498	0.000
rs2517597 lBF = `229.843` Chr`6` : `30,081,189`	0.501	0.498	0.000
rs1235162 lBF = `240.328` Chr`6` : `29,537,224`	0.501	0.499	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.501	0.499	0.000
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.501	0.499	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.501	0.499	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.501	0.499	0.000
rs3116830 lBF = `213.214` Chr`6` : `29,167,575`	0.501	0.499	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.500	0.499	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.500	0.500	0.000
rs79978308 lBF = `2.78083` Chr`21` : `41,020,545`	0.500	0.500	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.500	0.500	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.500	0.500	0.000
rs3131343 lBF = `208.216` Chr`6` : `28,775,564`	0.500	0.500	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.500	0.500	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.500	0.500	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.500	0.500	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.500	0.500	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.500	0.500	0.000
rs3118357 lBF = `210.247` Chr`6` : `28,802,149`	0.499	0.500	0.000
rs9273076 lBF = `225.981` Chr`6` : `32,612,301`	0.499	0.500	0.000
rs7767099 lBF = `208.838` Chr`6` : `28,768,698`	0.499	0.501	0.000
rs45565837 lBF = `23.5217` Chr`6` : `31,694,859`	0.499	0.501	0.000
rs3117143 lBF = `207.034` Chr`6` : `29,031,142`	0.499	0.501	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.499	0.501	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.499	0.501	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.499	0.501	0.000
rs3117439 lBF = `205.088` Chr`6` : `29,266,483`	0.499	0.501	0.000
rs3129788 lBF = `213.388` Chr`6` : `29,057,639`	0.498	0.501	0.000
rs2249099 lBF = `215.398` Chr`6` : `30,079,307`	0.498	0.501	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.498	0.501	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.498	0.501	0.000
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.498	0.502	0.000
rs6908726 lBF = `198.546` Chr`6` : `28,671,343`	0.498	0.502	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.498	0.502	0.000
rs3129791 lBF = `212.141` Chr`6` : `28,954,293`	0.498	0.502	0.000
rs3132390 lBF = `206.328` Chr`6` : `28,832,788`	0.498	0.502	0.000
rs853678 lBF = `135.476` Chr`6` : `28,297,313`	0.498	0.502	0.000
rs3132392 lBF = `212.95` Chr`6` : `28,838,629`	0.497	0.502	0.000
rs3799380 lBF = `79.7618` Chr`6` : `26,467,182`	0.497	0.502	0.000
rs3999471 lBF = `64.737` Chr`6` : `26,650,306`	0.497	0.502	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.497	0.502	0.000
rs17197710 lBF = `1.91517` Chr`11` : `47,225,996`	0.497	0.503	0.000
rs6046178 lBF = `8.17463` Chr`20` : `19,533,453`	0.497	0.503	0.000
rs17167021 lBF = `4.28036` Chr`5` : `98,880,299`	0.497	0.503	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.497	0.503	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.496	0.503	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.496	0.504	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.496	0.504	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.496	0.504	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.496	0.504	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.496	0.504	0.000
rs7940423 lBF = `2.47688` Chr`11` : `11,504,228`	0.496	0.504	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.496	0.504	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.496	0.504	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.496	0.504	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.496	0.504	0.000
rs77640143 lBF = `5.73366` Chr`2` : `189,786,827`	0.495	0.504	0.000
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	0.495	0.504	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.495	0.504	0.000
rs853676 lBF = `134.782` Chr`6` : `28,299,687`	0.495	0.504	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.495	0.505	0.000
rs3132469 lBF = `98.3432` Chr`6` : `31,456,567`	0.000	0.505	0.495
rs3135296 lBF = `190.167` Chr`6` : `28,795,856`	0.495	0.505	0.000
rs9295702 lBF = `66.9967` Chr`6` : `26,634,040`	0.495	0.505	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.495	0.505	0.000
rs2093169 lBF = `80.7103` Chr`6` : `26,495,099`	0.495	0.505	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.494	0.505	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.494	0.506	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.494	0.506	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.494	0.506	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.494	0.506	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.494	0.506	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.494	0.506	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.494	0.506	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.494	0.506	0.000
rs10456362 lBF = `134.285` Chr`6` : `28,221,816`	0.494	0.506	0.000
rs2523985 lBF = `215.269` Chr`6` : `30,081,334`	0.493	0.506	0.000
rs4324798 lBF = `208.631` Chr`6` : `28,776,117`	0.493	0.506	0.000
rs62242686 lBF = `11.9408` Chr`3` : `38,349,391`	0.493	0.506	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.493	0.506	0.000
rs3130893 lBF = `213.192` Chr`6` : `28,980,707`	0.493	0.506	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.493	0.506	0.000
rs1233619 lBF = `203.327` Chr`6` : `28,745,452`	0.493	0.507	0.000
rs9393735 lBF = `131.299` Chr`6` : `26,582,327`	0.493	0.507	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.493	0.507	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.492	0.507	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.492	0.507	0.000
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	0.492	0.507	0.000
rs114786810 lBF = `15.296` Chr`1` : `163,312,552`	0.492	0.508	0.000
rs9269911 lBF = `213.873` Chr`6` : `32,551,382`	0.000	0.508	0.492
rs1679709 lBF = `134.539` Chr`6` : `28,228,342`	0.491	0.508	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.491	0.508	0.000
rs1233604 lBF = `190.369` Chr`6` : `28,734,676`	0.491	0.508	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.491	0.509	0.000
rs9257248 lBF = `208.12` Chr`6` : `28,803,291`	0.491	0.509	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.491	0.509	0.000
rs3131064 lBF = `278.586` Chr`6` : `30,763,893`	0.491	0.509	0.000
rs3095329 lBF = `217.089` Chr`6` : `30,693,816`	0.491	0.509	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.491	0.509	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.490	0.509	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.490	0.509	0.000
rs9358946 lBF = `83.0195` Chr`6` : `26,478,927`	0.490	0.510	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.490	0.510	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.490	0.510	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.490	0.510	0.000
rs6901575 lBF = `135.155` Chr`6` : `28,250,984`	0.490	0.510	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.489	0.510	0.000
rs1311918 lBF = `208.355` Chr`6` : `28,753,646`	0.489	0.510	0.000
rs68141011 lBF = `134.426` Chr`6` : `28,217,797`	0.489	0.510	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.489	0.511	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.489	0.511	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.489	0.511	0.000
rs115860471 lBF = `16.459` Chr`3` : `4,063,676`	0.489	0.511	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.489	0.511	0.000
rs11965538 lBF = `133.231` Chr`6` : `28,239,915`	0.489	0.511	0.000
rs2799079 lBF = `132.81` Chr`6` : `28,235,176`	0.489	0.511	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.489	0.511	0.000
rs853679 lBF = `135.932` Chr`6` : `28,296,863`	0.488	0.511	0.000
rs7773938 lBF = `81.1762` Chr`6` : `26,474,044`	0.488	0.511	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.488	0.511	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.488	0.511	0.000
rs9358945 lBF = `82.4377` Chr`6` : `26,472,114`	0.488	0.511	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.488	0.512	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.488	0.512	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.488	0.512	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.488	0.512	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.488	0.512	0.000
rs3117098 lBF = `180.768` Chr`6` : `32,358,513`	0.000	0.512	0.487
rs7756567 lBF = `81.6942` Chr`6` : `26,481,642`	0.487	0.512	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.487	0.512	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.487	0.513	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.487	0.513	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.487	0.513	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.487	0.513	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.487	0.513	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.486	0.513	0.000
rs3129961 lBF = `181.164` Chr`6` : `32,378,940`	0.000	0.513	0.486
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.486	0.514	0.000
rs2517598 lBF = `209.688` Chr`6` : `30,080,274`	0.486	0.514	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.486	0.514	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.486	0.514	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.486	0.514	0.000
rs9393929 lBF = `195.915` Chr`6` : `28,696,063`	0.486	0.514	0.000
rs3129954 lBF = `177.83` Chr`6` : `32,365,580`	0.000	0.514	0.486
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.486	0.514	0.000
rs13195040 lBF = `183.66` Chr`6` : `27,413,924`	0.486	0.514	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.485	0.514	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.485	0.515	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.485	0.515	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.485	0.515	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.485	0.515	0.000
rs1233579 lBF = `197.386` Chr`6` : `28,712,663`	0.485	0.515	0.000
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.485	0.515	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.485	0.515	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.485	0.515	0.000
rs77492256 lBF = `13.3135` Chr`2` : `180,294,914`	0.484	0.515	0.000
rs3132584 lBF = `215.866` Chr`6` : `30,688,427`	0.484	0.515	0.000
rs9271366 lBF = `229.528` Chr`6` : `32,586,854`	0.484	0.516	0.000
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.484	0.516	0.000
rs9358944 lBF = `80.7116` Chr`6` : `26,469,875`	0.484	0.516	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.484	0.516	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.484	0.516	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.483	0.516	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.483	0.516	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.483	0.517	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.483	0.517	0.000
rs1778508 lBF = `132.175` Chr`6` : `28,229,881`	0.483	0.517	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.483	0.517	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.483	0.517	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.482	0.517	0.000
rs10484399 lBF = `175.299` Chr`6` : `27,534,528`	0.482	0.517	0.000
rs1419183 lBF = `130.076` Chr`6` : `28,242,794`	0.482	0.517	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.482	0.517	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.482	0.517	0.000
rs735765 lBF = `131.032` Chr`6` : `28,170,297`	0.482	0.518	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.482	0.518	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.482	0.518	0.000
rs115057643 lBF = `21.3347` Chr`6` : `31,188,995`	0.482	0.518	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.482	0.518	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.481	0.518	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.481	0.518	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.481	0.518	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.481	0.519	0.000
rs2232423 lBF = `201.397` Chr`6` : `28,366,151`	0.481	0.519	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.481	0.519	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.481	0.519	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.481	0.519	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.481	0.519	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.481	0.519	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.481	0.519	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.481	0.519	0.000
rs2826762 lBF = `7.61206` Chr`21` : `22,649,414`	0.481	0.519	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.481	0.519	0.000
rs75011346 lBF = `15.1821` Chr`1` : `163,292,579`	0.481	0.519	0.000
rs116615123 lBF = `20.8066` Chr`6` : `31,203,923`	0.481	0.519	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.480	0.519	0.000
rs3129948 lBF = `179.013` Chr`6` : `32,354,644`	0.000	0.520	0.480
rs3135350 lBF = `216.139` Chr`6` : `32,392,981`	0.480	0.520	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.479	0.520	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.479	0.520	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.479	0.521	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.479	0.521	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.479	0.521	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.478	0.521	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.478	0.521	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.478	0.521	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.478	0.521	0.000
rs116135181 lBF = `21.4131` Chr`6` : `31,207,822`	0.478	0.522	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.478	0.522	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.478	0.522	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.478	0.522	0.000
rs116780006 lBF = `20.7795` Chr`6` : `31,199,765`	0.478	0.522	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.478	0.522	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.478	0.522	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.477	0.522	0.000
rs13207082 lBF = `171.541` Chr`6` : `27,251,379`	0.477	0.522	0.000
rs3135006 lBF = `327.325` Chr`6` : `32,667,119`	0.000	0.523	0.477
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.477	0.523	0.000
rs56296968 lBF = `78.8662` Chr`6` : `26,474,571`	0.477	0.523	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.477	0.523	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.477	0.523	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.477	0.523	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.477	0.523	0.000
rs12074980 lBF = `15.0721` Chr`1` : `184,636,516`	0.477	0.523	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.477	0.523	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.477	0.523	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.476	0.523	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.476	0.523	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.476	0.523	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.476	0.524	0.000
rs114070457 lBF = `21.0799` Chr`6` : `31,206,695`	0.476	0.524	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.476	0.524	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.476	0.524	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.475	0.524	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.475	0.524	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.475	0.524	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.475	0.525	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.475	0.525	0.000
rs6565597 lBF = `4.34152` Chr`17` : `79,526,821`	0.475	0.525	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.475	0.525	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.474	0.525	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.474	0.525	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.474	0.526	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.474	0.526	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.474	0.526	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.474	0.526	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.473	0.526	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.473	0.526	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.473	0.526	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.473	0.526	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.473	0.526	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.473	0.527	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.473	0.527	0.000
rs114343342 lBF = `21.1393` Chr`6` : `31,210,006`	0.473	0.527	0.000
rs13217619 lBF = `199.852` Chr`6` : `28,306,671`	0.473	0.527	0.000
rs9268633 lBF = `244.242` Chr`6` : `32,406,473`	0.000	0.527	0.473
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.473	0.527	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.472	0.527	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.472	0.527	0.000
rs114925849 lBF = `15.4352` Chr`5` : `108,554,590`	0.472	0.528	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.472	0.528	0.000
rs114210995 lBF = `20.5311` Chr`6` : `31,210,638`	0.471	0.528	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.471	0.528	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.471	0.529	0.000
rs62262721 lBF = `9.29228` Chr`3` : `49,768,927`	0.471	0.529	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.471	0.529	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 X0056

log Bayes Factor = 15.088

contains 2 variants

0.5678

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0266

log Bayes Factor = 95.1792

contains 5 variants

0.5567

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5141

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5140

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5140

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5139

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5136

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5133

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5132

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5132

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5126

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5122

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5122

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5116

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5113

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5107

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5107

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5102

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5098

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5097

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5053

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5028

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5018

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5002

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4977

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4963

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4932

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4928

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4846

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4844

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4841

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4792

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4782

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4764

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4755

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4737

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4719

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4716

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4713

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4680

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4658

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4609

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4605

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4600

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4587

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4574

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4553

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4524

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4493

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4448

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4410

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4397

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4387

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4381

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4359

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4347

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4315

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4292

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4280

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4253

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4239

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4238

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4154

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4073

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3899

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3890

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3853

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3845

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3819

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3788

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3754

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3633

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3610

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3576

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3568

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3556

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3525

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3432

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3414

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3352

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3343

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3252

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.3225

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3222

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3206

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3169

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3156

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3147

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.3134

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3098

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3088

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3022

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2914

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2892

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2887

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2871

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2867

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2826

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2817

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2784

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2781

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2736

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2727

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2692

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2591

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2537

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2532

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2426

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2417

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2363

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2362

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2316

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2280

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2273

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2220

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2212

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2195

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2181

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2163

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2155

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2123

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2073

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2001

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2001

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1986

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1984

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1941

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1939

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1937

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1933

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1928

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1921

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1914

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1906

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1885

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1843

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1826

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1822

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1808

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1807

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1806

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1804

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1762

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1761

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1727

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1726

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1716

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1684

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1652

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1631

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1599

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1579

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1578

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1576

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1549

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1541

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1540

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1519

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1517

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1515

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1495

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1495

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1473

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1441

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1402

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1367

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1362

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1361

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1347

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1294

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1290

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1265

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1169

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1136

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1131

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1087

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1070

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1061

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1048

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1047

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1028

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1024

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1010

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1002

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0992

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0956

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0952

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0948

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0912

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0881

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0776

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0750

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0719

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0707

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0676

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0667

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0667

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0582

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0537

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`)