TreeWAS – [M91-M94] Chondropathies

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

M91-M94

Chondropathies

Parent term	Chapter XIII Diseases of the musculoskeletal system and connective tissue
Nested terms	M91 Juvenile osteochondrosis of hip and pelvis M92 Other juvenile osteochondrosis M93 Other osteochondropathies M94 Other disorders of cartilage

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Variant effects

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.967	0.033	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.963	0.037	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.954	0.046	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.948	0.052	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.945	0.055	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.945	0.055	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.944	0.056	0.000
rs1107159 lBF = `13.878` Chr`6` : `28,671,723`	0.944	0.056	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.943	0.057	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.942	0.058	0.000
rs6901325 lBF = `11.8063` Chr`6` : `28,675,630`	0.938	0.062	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.936	0.064	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.936	0.064	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.935	0.065	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.934	0.066	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.931	0.069	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.931	0.069	0.000
rs2894239 lBF = `168.203` Chr`6` : `32,215,796`	0.929	0.071	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.929	0.071	0.000
rs2894240 lBF = `165.564` Chr`6` : `32,217,846`	0.929	0.071	0.000
rs3130311 lBF = `166.574` Chr`6` : `32,217,367`	0.928	0.072	0.000
rs6457508 lBF = `169.12` Chr`6` : `32,216,963`	0.926	0.074	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.926	0.074	0.000
rs17010785 lBF = `11.2492` Chr`1` : `221,965,204`	0.925	0.075	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.924	0.076	0.000
rs9267971 lBF = `166.2` Chr`6` : `32,217,185`	0.923	0.077	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.922	0.078	0.000
rs2395110 lBF = `168.881` Chr`6` : `32,215,876`	0.920	0.080	0.000
rs74880545 lBF = `7.69301` Chr`21` : `29,997,493`	0.919	0.081	0.000
rs28780087 lBF = `50.2342` Chr`6` : `30,109,773`	0.918	0.082	0.000
rs9267958 lBF = `165.497` Chr`6` : `32,214,616`	0.918	0.082	0.000
rs28780089 lBF = `50.8465` Chr`6` : `30,115,946`	0.918	0.082	0.000
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	0.918	0.082	0.000
rs3115573 lBF = `167.595` Chr`6` : `32,218,843`	0.917	0.083	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.917	0.083	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.915	0.085	0.000
rs405875 lBF = `170.662` Chr`6` : `32,215,188`	0.914	0.086	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.914	0.086	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.912	0.088	0.000
rs206018 lBF = `35.9666` Chr`6` : `32,177,880`	0.911	0.089	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.911	0.089	0.000
rs3130315 lBF = `167.756` Chr`6` : `32,220,685`	0.911	0.089	0.000
rs12515891 lBF = `6.44113` Chr`5` : `74,317,380`	0.910	0.090	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.908	0.092	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.908	0.092	0.000
rs2857218 lBF = `123.609` Chr`6` : `32,855,340`	0.904	0.096	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.904	0.096	0.000
rs17690703 lBF = `6.48207` Chr`17` : `43,925,297`	0.900	0.100	0.000
rs7767008 lBF = `72.2367` Chr`6` : `28,630,793`	0.899	0.101	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.898	0.101	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.898	0.102	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.897	0.103	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.897	0.103	0.000
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.897	0.103	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.896	0.104	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.895	0.105	0.000
rs78857545 lBF = `9.68973` Chr`3` : `150,863,573`	0.894	0.106	0.000
rs117091124 lBF = `7.58899` Chr`6` : `94,239,513`	0.894	0.106	0.000
rs6931763 lBF = `34.1903` Chr`6` : `30,311,932`	0.893	0.107	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.893	0.107	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.893	0.107	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.892	0.108	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.891	0.109	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.890	0.110	0.000
rs3763317 lBF = `368.644` Chr`6` : `32,376,788`	0.890	0.110	0.000
rs10484566 lBF = `17.6082` Chr`6` : `32,835,258`	0.889	0.111	0.000
rs454748 lBF = `165.913` Chr`6` : `32,213,210`	0.889	0.111	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.888	0.112	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.888	0.112	0.000
rs16894197 lBF = `73.6741` Chr`6` : `28,648,271`	0.888	0.112	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.887	0.113	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.886	0.114	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.886	0.114	0.000
rs13126505 lBF = `11.7035` Chr`4` : `102,865,304`	0.886	0.114	0.000
rs9468487 lBF = `19.8045` Chr`6` : `29,107,052`	0.885	0.114	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.885	0.115	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.885	0.115	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.885	0.115	0.000
rs4679325 lBF = `5.12509` Chr`3` : `126,741,478`	0.885	0.115	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.884	0.116	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.884	0.116	0.000
rs9257887 lBF = `18.6493` Chr`6` : `29,485,289`	0.883	0.117	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.883	0.117	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.883	0.117	0.000
rs9267845 lBF = `54.0602` Chr`6` : `32,193,698`	0.000	0.118	0.882
rs17198741 lBF = `23.8485` Chr`6` : `31,256,035`	0.881	0.119	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.880	0.120	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.880	0.120	0.000
Affx-13927266 lBF = `6.05516` Chr`17` : `43,925,297`	0.880	0.120	0.000
rs4903813 lBF = `7.75672` Chr`14` : `79,507,314`	0.880	0.120	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.879	0.121	0.000
rs11752362 lBF = `33.0426` Chr`6` : `30,260,982`	0.878	0.122	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.878	0.122	0.000
rs17398081 lBF = `15.3638` Chr`6` : `28,724,852`	0.877	0.123	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.877	0.123	0.000
rs2282850 lBF = `14.1533` Chr`6` : `33,267,103`	0.877	0.123	0.000
rs3096691 lBF = `52.4329` Chr`6` : `32,194,854`	0.000	0.123	0.877
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.876	0.124	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.876	0.124	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.876	0.124	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.876	0.124	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.874	0.126	0.000
rs12036282 lBF = `8.24939` Chr`1` : `221,951,794`	0.873	0.127	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.872	0.128	0.000
rs1233367 lBF = `56.0415` Chr`6` : `29,622,220`	0.872	0.128	0.000
rs73728783 lBF = `21.7138` Chr`6` : `31,253,914`	0.872	0.128	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.872	0.128	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.871	0.128	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.871	0.129	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.871	0.129	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.870	0.130	0.000
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.870	0.130	0.000
rs9267673 lBF = `79.7719` Chr`6` : `31,883,679`	0.870	0.130	0.000
rs74691586 lBF = `9.21408` Chr`1` : `161,245,487`	0.870	0.130	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.870	0.130	0.000
rs199501 lBF = `6.03665` Chr`17` : `44,862,613`	0.869	0.131	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.869	0.131	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.869	0.131	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.868	0.132	0.000
rs45533135 lBF = `73.6781` Chr`6` : `31,430,951`	0.868	0.132	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.868	0.132	0.000
rs17192400 lBF = `19.5565` Chr`6` : `31,256,320`	0.868	0.132	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.867	0.133	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.867	0.133	0.000
rs3763312 lBF = `361.447` Chr`6` : `32,376,348`	0.867	0.133	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.866	0.134	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.866	0.134	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.866	0.134	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.865	0.135	0.000
rs115469976 lBF = `49.3561` Chr`6` : `32,986,508`	0.865	0.135	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.865	0.135	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.865	0.135	0.000
rs117754643 lBF = `10.4271` Chr`6` : `134,436,451`	0.865	0.135	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.864	0.136	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.864	0.136	0.000
rs114210995 lBF = `20.5311` Chr`6` : `31,210,638`	0.864	0.136	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.863	0.137	0.000
rs116615123 lBF = `20.8066` Chr`6` : `31,203,923`	0.863	0.137	0.000
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.863	0.137	0.000
rs9268614 lBF = `379.521` Chr`6` : `32,402,778`	0.863	0.137	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.863	0.137	0.000
rs3793127 lBF = `363.437` Chr`6` : `32,371,915`	0.863	0.137	0.000
rs3763309 lBF = `364.621` Chr`6` : `32,375,973`	0.863	0.137	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.862	0.137	0.000
rs1107160 lBF = `16.6018` Chr`6` : `28,671,422`	0.862	0.138	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.862	0.138	0.000
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.862	0.138	0.000
rs116135181 lBF = `21.4131` Chr`6` : `31,207,822`	0.862	0.138	0.000
rs114070457 lBF = `21.0799` Chr`6` : `31,206,695`	0.862	0.138	0.000
rs116780006 lBF = `20.7795` Chr`6` : `31,199,765`	0.862	0.138	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.862	0.138	0.000
rs2395106 lBF = `54.9559` Chr`6` : `32,193,220`	0.000	0.138	0.862
rs76547981 lBF = `10.2504` Chr`1` : `81,547,822`	0.861	0.139	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.861	0.139	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.861	0.139	0.000
rs4279480 lBF = `196.624` Chr`6` : `32,290,927`	0.000	0.140	0.860
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.860	0.140	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.860	0.140	0.000
rs1633005 lBF = `151.483` Chr`6` : `29,764,472`	0.860	0.140	0.000
rs115057643 lBF = `21.3347` Chr`6` : `31,188,995`	0.860	0.140	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.860	0.140	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.859	0.140	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.859	0.140	0.000
rs2285791 lBF = `18.8152` Chr`6` : `29,478,301`	0.859	0.141	0.000
rs9268557 lBF = `330.425` Chr`6` : `32,389,305`	0.859	0.141	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.859	0.141	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.858	0.142	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.858	0.142	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.858	0.142	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.857	0.143	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.857	0.143	0.000
rs9257879 lBF = `18.6575` Chr`6` : `29,483,019`	0.857	0.143	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.856	0.144	0.000
rs6918237 lBF = `18.5441` Chr`6` : `31,244,154`	0.856	0.144	0.000
rs114343342 lBF = `21.1393` Chr`6` : `31,210,006`	0.856	0.144	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.856	0.144	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.856	0.144	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.855	0.145	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.855	0.145	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.855	0.145	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.855	0.145	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.855	0.145	0.000
rs2073044 lBF = `297.22` Chr`6` : `32,338,986`	0.855	0.145	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	0.854	0.146	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.854	0.146	0.000
rs73728788 lBF = `19.6023` Chr`6` : `31,254,686`	0.854	0.146	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.854	0.146	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.853	0.146	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.853	0.147	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.853	0.147	0.000
rs113629572 lBF = `19.9871` Chr`6` : `31,252,019`	0.853	0.147	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.853	0.147	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.853	0.147	0.000
rs4959096 lBF = `232.471` Chr`6` : `32,314,676`	0.853	0.147	0.000
rs17198748 lBF = `20.0236` Chr`6` : `31,256,521`	0.852	0.148	0.000
rs2107203 lBF = `78.4534` Chr`6` : `29,669,830`	0.852	0.148	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.852	0.148	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.852	0.148	0.000
rs73730325 lBF = `18.677` Chr`6` : `31,234,150`	0.851	0.148	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.851	0.149	0.000
rs3129066 lBF = `82.121` Chr`6` : `29,668,537`	0.851	0.149	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.851	0.149	0.000
rs1061801 lBF = `11.5287` Chr`6` : `33,282,338`	0.851	0.149	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.851	0.149	0.000
rs16899160 lBF = `19.5946` Chr`6` : `31,256,667`	0.851	0.149	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.851	0.149	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.851	0.149	0.000
rs73728791 lBF = `20.1165` Chr`6` : `31,255,052`	0.851	0.149	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.850	0.149	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.850	0.150	0.000
rs2535238 lBF = `100.36` Chr`6` : `29,645,038`	0.850	0.150	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.850	0.150	0.000
rs76681384 lBF = `14.081` Chr`1` : `231,134,798`	0.850	0.150	0.000
rs73728796 lBF = `20.2005` Chr`6` : `31,257,354`	0.850	0.150	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.850	0.150	0.000
rs73728799 lBF = `19.6922` Chr`6` : `31,259,255`	0.850	0.150	0.000
rs73730014 lBF = `19.9332` Chr`6` : `31,261,642`	0.850	0.150	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.849	0.151	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.849	0.151	0.000
rs9468877 lBF = `43.2627` Chr`6` : `31,142,903`	0.849	0.151	0.000
rs9257890 lBF = `17.4967` Chr`6` : `29,486,908`	0.849	0.151	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.849	0.151	0.000
rs17198657 lBF = `20.1689` Chr`6` : `31,248,360`	0.849	0.151	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.849	0.151	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.849	0.151	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	0.849	0.151	0.000
rs77471165 lBF = `21.1513` Chr`3` : `111,395,880`	0.849	0.151	0.000
rs73728773 lBF = `19.7013` Chr`6` : `31,251,782`	0.849	0.151	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.848	0.152	0.000
rs6907206 lBF = `19.4859` Chr`6` : `31,245,911`	0.848	0.152	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.848	0.152	0.000
rs28373246 lBF = `20.5865` Chr`6` : `31,243,522`	0.848	0.152	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.848	0.152	0.000
rs2187818 lBF = `269.42` Chr`6` : `32,395,568`	0.847	0.153	0.000
rs73728482 lBF = `19.7099` Chr`6` : `31,229,579`	0.847	0.153	0.000
rs2242653 lBF = `39.178` Chr`6` : `31,675,765`	0.847	0.153	0.000
rs9276810 lBF = `113.26` Chr`6` : `32,810,443`	0.847	0.153	0.000
rs114652772 lBF = `20.6682` Chr`6` : `31,252,026`	0.847	0.153	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.847	0.153	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.846	0.154	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.846	0.154	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.846	0.154	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.845	0.155	0.000
rs73728777 lBF = `18.5296` Chr`6` : `31,253,458`	0.845	0.155	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.845	0.155	0.000
rs9268645 lBF = `267.026` Chr`6` : `32,408,527`	0.845	0.155	0.000
rs11955513 lBF = `5.12159` Chr`5` : `74,336,883`	0.844	0.156	0.000
rs56742828 lBF = `19.4267` Chr`6` : `31,250,649`	0.844	0.156	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.844	0.156	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.844	0.156	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.844	0.156	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.844	0.156	0.000
rs2269425 lBF = `55.9108` Chr`6` : `32,123,639`	0.844	0.156	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.843	0.157	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.843	0.157	0.000
rs3116803 lBF = `81.2241` Chr`6` : `29,667,872`	0.843	0.157	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.843	0.157	0.000
rs154986 lBF = `7.80019` Chr`6` : `32,879,233`	0.842	0.157	0.000
rs4348357 lBF = `187.91` Chr`6` : `32,291,359`	0.000	0.158	0.842
rs375984 lBF = `101.301` Chr`6` : `29,644,502`	0.842	0.158	0.000
rs36103239 lBF = `71.5921` Chr`6` : `28,586,282`	0.842	0.158	0.000
rs3117301 lBF = `91.5802` Chr`6` : `29,654,700`	0.842	0.158	0.000
rs2395163 lBF = `377.046` Chr`6` : `32,387,809`	0.842	0.158	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.842	0.158	0.000
rs139587602 lBF = `19.3926` Chr`6` : `31,210,279`	0.841	0.159	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.841	0.159	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.841	0.159	0.000
rs73728786 lBF = `19.943` Chr`6` : `31,254,683`	0.841	0.159	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.841	0.159	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.841	0.159	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.840	0.159	0.000
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rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.840	0.160	0.000
rs154982 lBF = `8.1119` Chr`6` : `32,880,545`	0.840	0.160	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.840	0.160	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.840	0.160	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.840	0.160	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.840	0.160	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.840	0.160	0.000
rs6919409 lBF = `20.7208` Chr`6` : `31,244,532`	0.840	0.160	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.840	0.160	0.000
rs7744212 lBF = `15.9284` Chr`6` : `112,275,639`	0.840	0.160	0.000
rs73730013 lBF = `20.1133` Chr`6` : `31,261,514`	0.840	0.160	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.840	0.160	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.840	0.160	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.839	0.161	0.000
rs356967 lBF = `85.5712` Chr`6` : `29,973,910`	0.839	0.161	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.839	0.161	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.839	0.161	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.839	0.161	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.839	0.161	0.000
rs9268560 lBF = `325.75` Chr`6` : `32,389,512`	0.000	0.162	0.838
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.838	0.162	0.000
rs9469913 lBF = `16.491` Chr`6` : `34,827,085`	0.838	0.162	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.838	0.162	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.838	0.162	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.838	0.162	0.000
rs362521 lBF = `30.2823` Chr`6` : `29,556,759`	0.838	0.162	0.000
rs2285792 lBF = `17.382` Chr`6` : `29,478,170`	0.838	0.162	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.837	0.163	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.837	0.163	0.000
rs116766359 lBF = `84.5183` Chr`6` : `31,407,133`	0.837	0.163	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.837	0.163	0.000
rs1081575 lBF = `12.1523` Chr`3` : `101,624,854`	0.837	0.163	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.837	0.163	0.000
rs2747460 lBF = `90.9925` Chr`6` : `29,657,127`	0.837	0.163	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.837	0.163	0.000
rs6698528 lBF = `13.1015` Chr`1` : `193,503,444`	0.837	0.163	0.000
rs9268301 lBF = `266.74` Chr`6` : `32,319,637`	0.836	0.164	0.000
rs2747430 lBF = `57.6451` Chr`6` : `29,648,506`	0.836	0.164	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.836	0.164	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.836	0.164	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.836	0.164	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.836	0.164	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.835	0.165	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.835	0.165	0.000
rs6910071 lBF = `365.296` Chr`6` : `32,282,854`	0.835	0.165	0.000
rs9268362 lBF = `364.835` Chr`6` : `32,333,341`	0.835	0.165	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.835	0.165	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.835	0.165	0.000
rs79203142 lBF = `7.84134` Chr`11` : `21,308,589`	0.835	0.165	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.835	0.165	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.834	0.166	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.834	0.166	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.834	0.166	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.834	0.166	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.834	0.166	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.834	0.166	0.000
rs761187 lBF = `241.193` Chr`6` : `32,318,036`	0.834	0.166	0.000
rs11751494 lBF = `31.4605` Chr`6` : `33,804,669`	0.834	0.166	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.834	0.166	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.833	0.167	0.000
rs154983 lBF = `7.7235` Chr`6` : `32,880,445`	0.833	0.167	0.000
rs114475062 lBF = `14.2174` Chr`6` : `31,127,745`	0.833	0.167	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.833	0.167	0.000
rs9948 lBF = `1.28624` Chr`2` : `97,500,800`	0.833	0.167	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.833	0.167	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.833	0.167	0.000
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rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.832	0.168	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.832	0.168	0.000
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rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.832	0.168	0.000
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rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.831	0.169	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.831	0.169	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.831	0.169	0.000
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rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.830	0.170	0.000
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rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.830	0.170	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.829	0.170	0.000
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rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.829	0.171	0.000
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rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.829	0.171	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.829	0.171	0.000
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rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.828	0.172	0.000
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rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.828	0.172	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.828	0.172	0.000
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rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.828	0.172	0.000
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rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.828	0.172	0.000
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rs79272324 lBF = `9.62034` Chr`2` : `142,350,168`	0.827	0.173	0.000
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rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.826	0.174	0.000
rs356968 lBF = `84.3084` Chr`6` : `29,975,047`	0.826	0.174	0.000
rs1264697 lBF = `126.609` Chr`6` : `30,067,568`	0.826	0.174	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.826	0.174	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.826	0.174	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.826	0.174	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.825	0.175	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.825	0.175	0.000
rs9268657 lBF = `267.525` Chr`6` : `32,409,656`	0.825	0.175	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.825	0.175	0.000
rs17197024 lBF = `13.1864` Chr`6` : `31,115,965`	0.825	0.175	0.000
rs14004 lBF = `260.821` Chr`6` : `32,407,709`	0.825	0.175	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.825	0.175	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.825	0.175	0.000
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.823	0.177	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.823	0.177	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.823	0.177	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.823	0.177	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.823	0.177	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.823	0.177	0.000
rs9378200 lBF = `76.8929` Chr`6` : `31,572,927`	0.823	0.177	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.823	0.177	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.823	0.177	0.000
rs73728802 lBF = `20.0348` Chr`6` : `31,259,263`	0.822	0.178	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.822	0.178	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.822	0.178	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.822	0.178	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.822	0.178	0.000
rs2299851 lBF = `25.8886` Chr`6` : `31,718,602`	0.822	0.178	0.000
rs17190769 lBF = `13.591` Chr`6` : `31,127,037`	0.822	0.178	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.822	0.178	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.822	0.178	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.822	0.178	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.822	0.178	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.822	0.178	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.822	0.178	0.000
rs715044 lBF = `27.9833` Chr`6` : `29,593,788`	0.822	0.178	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.822	0.178	0.000
rs241398 lBF = `109.754` Chr`6` : `32,875,450`	0.822	0.178	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.821	0.179	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.821	0.179	0.000
rs116255593 lBF = `80.2296` Chr`6` : `31,412,447`	0.821	0.179	0.000
rs2394604 lBF = `16.8772` Chr`6` : `29,369,268`	0.821	0.179	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.821	0.179	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.821	0.179	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.821	0.179	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.821	0.179	0.000
rs12141391 lBF = `1.36552` Chr`1` : `72,274,473`	0.821	0.179	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.820	0.180	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.820	0.180	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.820	0.180	0.000
rs41267649 lBF = `27.6616` Chr`6` : `33,384,473`	0.820	0.180	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.820	0.180	0.000
rs12189871 lBF = `142.293` Chr`6` : `31,251,924`	0.820	0.180	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.820	0.180	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.820	0.180	0.000
rs114212906 lBF = `61.1046` Chr`6` : `31,391,389`	0.820	0.180	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.819	0.181	0.000
rs2844796 lBF = `127.837` Chr`6` : `30,072,511`	0.819	0.181	0.000
rs2074466 lBF = `17.966` Chr`6` : `29,408,313`	0.819	0.181	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.819	0.181	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.819	0.181	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.819	0.181	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.819	0.181	0.000
Affx-37068371 lBF = `16.55` Chr`6` : `31,237,354`	0.819	0.181	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.819	0.181	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.819	0.181	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.819	0.181	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.819	0.181	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.818	0.181	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.818	0.181	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.818	0.182	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.818	0.182	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.818	0.182	0.000
rs926070 lBF = `194.58` Chr`6` : `32,257,566`	0.000	0.182	0.818
rs9295768 lBF = `115.003` Chr`6` : `28,209,102`	0.818	0.182	0.000
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.818	0.182	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.818	0.182	0.000
rs17368073 lBF = `7.77278` Chr`1` : `77,222,172`	0.818	0.182	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.818	0.182	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.818	0.182	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.818	0.182	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.817	0.182	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.817	0.183	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.817	0.183	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.817	0.183	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.817	0.183	0.000
rs401618 lBF = `81.5767` Chr`6` : `29,950,210`	0.817	0.183	0.000
rs2284169 lBF = `39.125` Chr`6` : `30,172,385`	0.817	0.183	0.000
rs115408371 lBF = `85.6133` Chr`6` : `31,426,248`	0.817	0.183	0.000
rs2523557 lBF = `89.8237` Chr`6` : `31,331,257`	0.817	0.183	0.000
rs3766823 lBF = `11.995` Chr`1` : `32,197,257`	0.817	0.183	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.817	0.183	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.816	0.183	0.000
rs259943 lBF = `84.4679` Chr`6` : `30,015,330`	0.816	0.184	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.816	0.184	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.816	0.184	0.000
rs2523545 lBF = `78.3003` Chr`6` : `31,333,499`	0.000	0.184	0.816
rs9468317 lBF = `114.533` Chr`6` : `28,198,456`	0.816	0.184	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.816	0.184	0.000
rs73730015 lBF = `15.4676` Chr`6` : `31,262,053`	0.816	0.184	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9998

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9998

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9997

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9997

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9995

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9995

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9994

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9994

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9993

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9993

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9993

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9992

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9992

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9985

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9984

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9977

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9971

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9968

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9966

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9963

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.9963

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9950

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9944

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9940

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9939

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9939

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9924

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9917

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9917

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9909

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9906

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9873

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9866

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9862

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9853

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9850

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9845

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9823

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9820

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9818

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9817

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9816

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9805

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9804

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9801

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9783

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9780

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9770

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9765

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9758

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9754

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9749

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9733

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9727

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9718

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9712

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9699

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9694

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9682

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9662

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9647

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.9639

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9638

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9624

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9622

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9618

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9573

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9554

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9548

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9528

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9519

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9519

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9517

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9505

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9502

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9497

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9497

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9491

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9489

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.9488

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9481

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9475

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9459

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9453

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9435

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9434

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9431

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9415

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9412

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9396

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9387

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9375

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9356

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9349

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9325

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9321

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9318

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9312

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9304

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9300

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9291

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9287

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9287

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9275

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9268

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9252

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9239

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9237

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9232

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9214

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9209

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9208

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9194

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9190

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9178

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9161

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9158

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9143

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9138

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9120

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9112

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9106

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9104

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9076

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9072

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.9055

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9050

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9022

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9010

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9003

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8999

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8997

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8997

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8996

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8992

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8973

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8963

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8940

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8920

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8885

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8880

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8844

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8810

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8803

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.8787

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8778

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8761

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8761

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8735

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8724

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8715

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8715

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.8691

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8603

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8568

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8566

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8557

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8555

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8538

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8538

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8472

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8457

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8414

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8384

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8383

Cluster X0016

log Bayes Factor = 246.869

contains 16 variants

0.8363

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8357

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8342

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8336

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8329

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8310

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8223

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8218

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8211

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8185

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8148

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8124

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.8120

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8102

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8066

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8013

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7988

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7919

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7824

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7807

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7807

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7793

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.7777

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.7745

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7744

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7704

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.7686

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7666

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7652

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7641

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7625

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7506

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7449

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7414

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7387

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7382

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7321

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.7318

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7312

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.7244

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7178

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7124

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6987

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6923

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.6870

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.6844

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6762

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6144

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5998

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5967

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.5965

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.5594

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5330

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5325

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.5239

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.5223

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.5154

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5083

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.4918

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.4746

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4501

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3455

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3412

Cluster X0198

log Bayes Factor = 97.078

contains 5 variants

0.3408

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3160

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

0.2689

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.2593

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2431

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.2339

Cluster X0179

log Bayes Factor = 426.274

contains 17 variants

0.1845

Cluster X0011

log Bayes Factor = 138.832

contains 11 variants

0.1299

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.1160

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0854

Cluster X0196

log Bayes Factor = 301.726

contains 18 variants

0.0765

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`)