TreeWAS – [F34] Persistent mood [affective] disorders

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

F34

Persistent mood [affective] disorders

Parent term	F30-F39 Mood [affective] disorders
Nested terms	F34.0 Cyclothymia F34.1 Dysthymia F34.8 Other persistent mood [affective] disorders F34.9 Persistent mood [affective] disorder, unspecified

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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
rs6712932 lBF = `5.4522` Chr`2` : `105,837,598`	0.940	0.060	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.910	0.090	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.890	0.110	0.000
rs11687420 lBF = `3.00864` Chr`2` : `146,045,565`	0.887	0.113	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.884	0.116	0.000
rs1822881 lBF = `3.00061` Chr`2` : `146,044,052`	0.883	0.117	0.000
rs75128058 lBF = `8.3914` Chr`6` : `52,978,053`	0.877	0.123	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.874	0.126	0.000
rs4903813 lBF = `7.75672` Chr`14` : `79,507,314`	0.862	0.138	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.857	0.143	0.000
rs8005334 lBF = `6.47865` Chr`14` : `79,563,654`	0.856	0.144	0.000
rs10180522 lBF = `2.48654` Chr`2` : `146,071,853`	0.854	0.146	0.000
rs12190030 lBF = `68.2872` Chr`6` : `30,921,364`	0.845	0.155	0.000
rs115272033 lBF = `11.1478` Chr`6` : `31,850,807`	0.840	0.160	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.834	0.166	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.834	0.166	0.000
rs9332739 lBF = `16.6349` Chr`6` : `31,903,804`	0.834	0.166	0.000
rs4151671 lBF = `17.276` Chr`6` : `31,918,903`	0.834	0.166	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.832	0.168	0.000
rs4151672 lBF = `15.5949` Chr`6` : `31,919,830`	0.830	0.170	0.000
rs4151669 lBF = `17.2055` Chr`6` : `31,915,144`	0.829	0.171	0.000
rs41270464 lBF = `20.6916` Chr`6` : `32,148,724`	0.829	0.171	0.000
rs13407123 lBF = `2.79533` Chr`2` : `146,092,756`	0.827	0.173	0.000
rs17533090 lBF = `105.416` Chr`6` : `32,590,722`	0.826	0.174	0.000
rs34411532 lBF = `105.209` Chr`6` : `32,592,294`	0.825	0.175	0.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	0.823	0.177	0.000
rs2295663 lBF = `77.8075` Chr`6` : `31,669,295`	0.823	0.177	0.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.823	0.177	0.000
rs28732150 lBF = `77.4159` Chr`6` : `31,583,224`	0.823	0.177	0.000
rs62437750 lBF = `8.76001` Chr`6` : `145,518,570`	0.819	0.181	0.000
rs8192585 lBF = `18.7691` Chr`6` : `32,188,823`	0.819	0.181	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.818	0.182	0.000
rs9378164 lBF = `72.2281` Chr`6` : `31,643,522`	0.817	0.183	0.000
rs7767775 lBF = `5.28036` Chr`6` : `170,701,194`	0.816	0.184	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.814	0.186	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.814	0.186	0.000
rs117091124 lBF = `7.58899` Chr`6` : `94,239,513`	0.812	0.188	0.000
rs76151409 lBF = `20.9106` Chr`6` : `31,407,653`	0.812	0.188	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.811	0.189	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.811	0.189	0.000
rs9378200 lBF = `76.8929` Chr`6` : `31,572,927`	0.810	0.190	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.810	0.190	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.810	0.190	0.000
rs45592033 lBF = `19.2031` Chr`6` : `32,162,559`	0.809	0.191	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.809	0.191	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.808	0.192	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.808	0.192	0.000
rs72851111 lBF = `23.6522` Chr`6` : `31,414,673`	0.807	0.193	0.000
rs114892859 lBF = `25.3426` Chr`6` : `31,369,278`	0.807	0.193	0.000
rs72882965 lBF = `23.0387` Chr`6` : `31,353,285`	0.807	0.193	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.807	0.193	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.807	0.193	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.807	0.193	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.807	0.193	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.806	0.193	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.806	0.194	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.806	0.194	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.806	0.194	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.806	0.194	0.000
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.806	0.194	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.806	0.194	0.000
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.806	0.194	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.806	0.194	0.000
rs72878039 lBF = `23.7565` Chr`6` : `31,340,795`	0.806	0.194	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.806	0.194	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.805	0.195	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.805	0.195	0.000
rs114783056 lBF = `22.655` Chr`6` : `31,327,265`	0.805	0.195	0.000
rs68085422 lBF = `22.2032` Chr`6` : `31,327,326`	0.805	0.195	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.804	0.195	0.000
rs17496354 lBF = `5.1598` Chr`9` : `140,566,936`	0.804	0.196	0.000
rs9348876 lBF = `71.6856` Chr`6` : `31,575,276`	0.802	0.198	0.000
rs72502573 lBF = `20.8514` Chr`6` : `31,327,446`	0.802	0.198	0.000
rs10975740 lBF = `5.23448` Chr`9` : `676,741`	0.801	0.199	0.000
rs2523557 lBF = `89.8237` Chr`6` : `31,331,257`	0.800	0.200	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.796	0.204	0.000
rs4151664 lBF = `61.8333` Chr`6` : `31,920,873`	0.796	0.204	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.795	0.204	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.793	0.207	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.791	0.209	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.791	0.209	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.790	0.210	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.788	0.211	0.000
rs9267673 lBF = `79.7719` Chr`6` : `31,883,679`	0.788	0.212	0.000
rs17200740 lBF = `15.7847` Chr`6` : `31,535,539`	0.787	0.213	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.786	0.213	0.000
rs77149735 lBF = `4.50866` Chr`1` : `243,555,105`	0.786	0.214	0.000
rs72847395 lBF = `22.7489` Chr`6` : `31,388,555`	0.786	0.214	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.785	0.215	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.785	0.215	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.785	0.215	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.785	0.215	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.785	0.215	0.000
rs1051794 lBF = `109.752` Chr`6` : `31,379,109`	0.784	0.216	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.783	0.217	0.000
rs8192583 lBF = `58.0993` Chr`6` : `32,163,274`	0.781	0.219	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.781	0.219	0.000
rs115464798 lBF = `21.2629` Chr`6` : `31,260,128`	0.781	0.219	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.781	0.219	0.000
rs16899661 lBF = `21.9129` Chr`6` : `31,430,401`	0.780	0.220	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.780	0.220	0.000
rs116157207 lBF = `16.4805` Chr`6` : `31,518,764`	0.780	0.220	0.000
rs17207085 lBF = `16.5272` Chr`6` : `31,503,552`	0.780	0.220	0.000
rs17201763 lBF = `16.7746` Chr`6` : `32,185,246`	0.779	0.220	0.000
rs36233043 lBF = `93.5678` Chr`6` : `32,629,718`	0.779	0.221	0.000
rs67068100 lBF = `25.2032` Chr`6` : `31,429,913`	0.779	0.221	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.779	0.221	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.778	0.222	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.777	0.223	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.777	0.223	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.776	0.224	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.776	0.224	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.775	0.225	0.000
rs115623520 lBF = `16.5137` Chr`6` : `31,518,433`	0.775	0.225	0.000
rs35148638 lBF = `0.829383` Chr`5` : `86,610,989`	0.774	0.226	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.774	0.226	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.773	0.226	0.000
rs7749983 lBF = `2.13387` Chr`6` : `129,874,355`	0.000	0.227	0.773
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.773	0.227	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.773	0.227	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.772	0.228	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.771	0.229	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.771	0.229	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.771	0.229	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.771	0.229	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.768	0.232	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.767	0.233	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.767	0.233	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.766	0.234	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.766	0.234	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.765	0.235	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.765	0.235	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.763	0.237	0.000
rs528808 lBF = `2.54605` Chr`6` : `100,104,289`	0.763	0.237	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.762	0.238	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.760	0.239	0.000
rs35163515 lBF = `19.5869` Chr`6` : `31,434,968`	0.760	0.240	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.759	0.241	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.758	0.242	0.000
rs72844399 lBF = `94.3019` Chr`6` : `32,634,264`	0.758	0.242	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.758	0.242	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.757	0.243	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.757	0.243	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.757	0.243	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	0.756	0.244	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.756	0.244	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.756	0.244	0.000
rs1799964 lBF = `64.3315` Chr`6` : `31,542,308`	0.756	0.244	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.756	0.244	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.756	0.244	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.756	0.244	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.755	0.245	0.000
rs35221806 lBF = `7.30552` Chr`7` : `7,350,418`	0.755	0.245	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.755	0.245	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.754	0.246	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.754	0.246	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.753	0.247	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.753	0.247	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.753	0.247	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.752	0.248	0.000
rs4757391 lBF = `4.55047` Chr`11` : `16,302,939`	0.752	0.248	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.751	0.249	0.000
rs66862067 lBF = `127.851` Chr`6` : `31,363,606`	0.751	0.249	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.750	0.250	0.000
rs6457401 lBF = `67.5206` Chr`6` : `31,334,852`	0.750	0.250	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.750	0.250	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.750	0.250	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.749	0.250	0.000
rs6017235 lBF = `0.915693` Chr`20` : `42,620,592`	0.748	0.252	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.748	0.252	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.747	0.253	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.747	0.253	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.747	0.253	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.746	0.254	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.746	0.254	0.000
rs73008782 lBF = `8.48892` Chr`6` : `145,689,914`	0.745	0.255	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.745	0.255	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.744	0.256	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.744	0.256	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.744	0.256	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.742	0.258	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.742	0.258	0.000
rs1081575 lBF = `12.1523` Chr`3` : `101,624,854`	0.741	0.259	0.000
rs1051786 lBF = `106.433` Chr`6` : `31,378,425`	0.740	0.260	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.739	0.260	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.739	0.261	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.739	0.261	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.738	0.261	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.738	0.262	0.000
rs7729458 lBF = `5.89518` Chr`5` : `2,799,100`	0.737	0.263	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.737	0.263	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.737	0.263	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.737	0.263	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.735	0.265	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.734	0.266	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.734	0.266	0.000
rs62295986 lBF = `9.09224` Chr`3` : `169,354,710`	0.734	0.266	0.000
rs7775228 lBF = `52.346` Chr`6` : `32,658,079`	0.000	0.267	0.733
rs17072322 lBF = `5.23479` Chr`4` : `182,742,909`	0.733	0.267	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.733	0.267	0.000
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rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.708	0.292	0.000
rs2596573 lBF = `68.1198` Chr`6` : `31,347,930`	0.000	0.292	0.708
rs76547981 lBF = `10.2504` Chr`1` : `81,547,822`	0.708	0.292	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.708	0.292	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.708	0.292	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.708	0.292	0.000
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.708	0.292	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.708	0.292	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.708	0.292	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.708	0.292	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.708	0.292	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.707	0.292	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.707	0.292	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.707	0.292	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.707	0.292	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.707	0.292	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.707	0.293	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.707	0.293	0.000
rs5030965 lBF = `7.66452` Chr`6` : `27,216,699`	0.707	0.293	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.707	0.293	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.707	0.293	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.707	0.293	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.707	0.293	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.707	0.293	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.707	0.293	0.000
rs9267487 lBF = `39.9855` Chr`6` : `31,511,350`	0.707	0.293	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.707	0.293	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.707	0.293	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.707	0.293	0.000
rs6934690 lBF = `14.5953` Chr`6` : `54,054,686`	0.707	0.293	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.707	0.293	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.706	0.293	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.706	0.293	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.706	0.293	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.706	0.293	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.706	0.294	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.706	0.294	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.706	0.294	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.706	0.294	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.706	0.294	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.705	0.294	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.705	0.295	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.705	0.295	0.000
rs17411949 lBF = `4.20269` Chr`3` : `140,099,693`	0.705	0.295	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.705	0.295	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.705	0.295	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.705	0.295	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.705	0.295	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.705	0.295	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.705	0.295	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.705	0.295	0.000
rs11758636 lBF = `6.63593` Chr`6` : `27,229,561`	0.705	0.295	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.705	0.295	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.705	0.295	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.705	0.295	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.705	0.295	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.705	0.295	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.705	0.295	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.705	0.295	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.705	0.295	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.704	0.295	0.000
rs17783658 lBF = `5.27728` Chr`6` : `81,762,310`	0.704	0.295	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.704	0.295	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.704	0.296	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.704	0.296	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.704	0.296	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.704	0.296	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.704	0.296	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.704	0.296	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.704	0.296	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.704	0.296	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.704	0.296	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.703	0.296	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.703	0.297	0.000
rs77731990 lBF = `1.89865` Chr`2` : `184,556,860`	0.703	0.297	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.703	0.297	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.703	0.297	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.703	0.297	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.703	0.297	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.703	0.297	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.703	0.297	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.703	0.297	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.703	0.297	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.702	0.297	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.702	0.297	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.702	0.297	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.702	0.297	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.702	0.298	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.702	0.298	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.702	0.298	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.702	0.298	0.000
rs10931898 lBF = `8.93071` Chr`2` : `201,171,191`	0.702	0.298	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.702	0.298	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.702	0.298	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.701	0.299	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.701	0.299	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.701	0.299	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.701	0.299	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 X0260

log Bayes Factor = 16.5601

contains 2 variants

0.6777

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6747

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2914

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9959

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9889

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9838

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9763

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9731

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9686

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9649

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9577

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9570

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9462

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9410

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9333

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9317

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9303

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9248

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9214

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9129

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9129

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9113

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9100

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9079

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9018

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8998

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8948

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8844

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8837

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8800

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8782

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8775

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8771

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8575

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.8553

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8491

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8485

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8415

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8397

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8390

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8268

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8235

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8204

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8198

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8178

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8134

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8134

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8129

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8082

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8081

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8054

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.8030

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8020

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8002

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7976

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7975

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7956

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7929

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7915

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7900

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7899

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7888

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7875

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7874

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7872

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7844

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7825

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7811

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7806

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7795

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7777

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7773

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7765

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7698

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7667

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7657

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7639

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7631

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7623

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7597

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7586

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7570

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7474

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7427

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.7418

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7378

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7344

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.7316

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7294

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7286

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7271

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7243

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7217

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7169

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7169

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7169

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7169

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7169

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7168

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7168

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7167

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7167

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7167

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7167

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7166

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7164

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7164

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7164

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7164

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7162

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7162

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7161

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7156

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7153

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7153

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7152

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7150

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7149

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7142

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7141

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7140

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7135

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7132

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7124

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7108

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7106

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7080

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7075

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7008

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6986

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6986

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6983

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6982

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6968

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6927

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6917

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6914

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6859

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6841

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6762

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6761

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6744

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6669

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6639

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6577

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6574

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6556

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6555

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6539

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6476

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.6436

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6413

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6237

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6232

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6181

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6149

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.6108

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6092

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6052

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6006

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.5789

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5751

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5735

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5628

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5628

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5522

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5486

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5236

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5155

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.5026

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4975

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4973

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4795

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4794

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4652

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.4593

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4496

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4298

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4241

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4011

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3993

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3542

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3181

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3127

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2956

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2405

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2378

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2210

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2092

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1931

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1808

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1426

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1425

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1290

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0773

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0517

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0513

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`)