TreeWAS – [D39] Neoplasm of uncertain or unknown behaviour of female genital organs

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

D39

Neoplasm of uncertain or unknown behaviour of female genital organs

Parent term	D37-D48 Neoplasms of uncertain or unknown behaviour
Nested terms	D39.0 Uterus D39.1 Ovary D39.2 Placenta D39.7 Other female genital organs D39.9 Female genital organ, 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
rs2853677 lBF = `56.6519` Chr`5` : `1,287,194`	0.966	0.034	0.000
rs7726159 lBF = `37.189` Chr`5` : `1,282,319`	0.952	0.048	0.000
rs7725218 lBF = `34.4239` Chr`5` : `1,282,414`	0.947	0.053	0.000
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.067	0.933
rs37004 lBF = `36.028` Chr`5` : `1,356,684`	0.000	0.095	0.905
rs17391694 lBF = `1.85741` Chr`1` : `78,623,626`	0.903	0.097	0.000
rs2853676 lBF = `19.1781` Chr`5` : `1,288,547`	0.900	0.100	0.000
rs56207248 lBF = `6.58472` Chr`2` : `25,065,986`	0.887	0.113	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.881	0.119	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.880	0.120	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.865	0.135	0.000
rs1887428 lBF = `11.0147` Chr`9` : `4,984,530`	0.000	0.138	0.862
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.000	0.138	0.862
rs72709458 lBF = `44.6062` Chr`5` : `1,283,755`	0.857	0.143	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.855	0.145	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.853	0.147	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.847	0.153	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.845	0.155	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.843	0.157	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.826	0.174	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.825	0.175	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.824	0.176	0.000
rs6928849 lBF = `5.07809` Chr`6` : `167,001,024`	0.824	0.176	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.818	0.182	0.000
rs10022787 lBF = `8.05101` Chr`4` : `56,521,889`	0.814	0.186	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.814	0.186	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.813	0.187	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.811	0.189	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.810	0.190	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.810	0.190	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.807	0.193	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.806	0.194	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.806	0.194	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.805	0.195	0.000
rs10890839 lBF = `6.35047` Chr`11` : `108,306,236`	0.804	0.196	0.000
rs31490 lBF = `60.3515` Chr`5` : `1,344,458`	0.000	0.196	0.804
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.803	0.197	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.800	0.200	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.800	0.200	0.000
rs61901649 lBF = `7.32545` Chr`11` : `59,340,013`	0.796	0.204	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.794	0.206	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.794	0.206	0.000
rs4635969 lBF = `16.8431` Chr`5` : `1,308,552`	0.000	0.207	0.793
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	0.208	0.792
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.791	0.209	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.789	0.211	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.788	0.212	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.787	0.213	0.000
rs116567155 lBF = `9.80102` Chr`2` : `226,816,897`	0.787	0.213	0.000
rs114763188 lBF = `9.2156` Chr`2` : `227,016,204`	0.787	0.213	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.786	0.213	0.000
rs4975616 lBF = `52.5674` Chr`5` : `1,315,660`	0.000	0.214	0.786
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.786	0.214	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.786	0.214	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.785	0.215	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.784	0.216	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.784	0.216	0.000
rs116631028 lBF = `11.4875` Chr`1` : `81,019,150`	0.783	0.217	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.783	0.217	0.000
rs1800057 lBF = `17.8656` Chr`11` : `108,143,456`	0.782	0.218	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.782	0.218	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.782	0.218	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.781	0.219	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.778	0.222	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.778	0.222	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.776	0.224	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.776	0.224	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.776	0.224	0.000
rs17588027 lBF = `5.22086` Chr`2` : `195,753,154`	0.776	0.224	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.775	0.225	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.772	0.228	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.769	0.231	0.000
rs31489 lBF = `53.5032` Chr`5` : `1,342,714`	0.000	0.231	0.769
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.768	0.232	0.000
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	0.768	0.232	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.768	0.232	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.767	0.233	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.767	0.233	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.766	0.234	0.000
Affx-4168886 lBF = `6.07706` Chr`11` : `108,345,515`	0.766	0.234	0.000
rs421284 lBF = `60.9669` Chr`5` : `1,325,590`	0.000	0.234	0.766
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.766	0.234	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.765	0.235	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.765	0.235	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.765	0.235	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.764	0.236	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.763	0.237	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.763	0.237	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.763	0.237	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.762	0.238	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.762	0.238	0.000
rs45627239 lBF = `18.4326` Chr`6` : `30,921,141`	0.762	0.238	0.000
rs61813875 lBF = `3.16834` Chr`1` : `152,536,650`	0.761	0.238	0.000
rs79131379 lBF = `30.3412` Chr`6` : `33,133,040`	0.761	0.239	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.761	0.239	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.761	0.239	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.759	0.241	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.759	0.241	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.759	0.241	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.758	0.242	0.000
rs401681 lBF = `60.4564` Chr`5` : `1,322,087`	0.000	0.243	0.756
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.756	0.244	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.756	0.244	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.756	0.244	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.755	0.245	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.755	0.245	0.000
rs9468831 lBF = `13.0168` Chr`6` : `30,749,844`	0.753	0.246	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.753	0.247	0.000
rs6670062 lBF = `2.87632` Chr`1` : `247,261,125`	0.752	0.248	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.751	0.249	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.751	0.249	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.750	0.250	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.750	0.250	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.750	0.250	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.749	0.250	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.749	0.251	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.749	0.251	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.749	0.251	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.749	0.251	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.749	0.251	0.000
rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.748	0.252	0.000
rs1623026 lBF = `23.4509` Chr`6` : `31,188,312`	0.748	0.252	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.748	0.252	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.748	0.252	0.000
rs6698528 lBF = `13.1015` Chr`1` : `193,503,444`	0.746	0.254	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.746	0.254	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.745	0.254	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.745	0.255	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.745	0.255	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.744	0.256	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.744	0.256	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.744	0.256	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.744	0.256	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.744	0.256	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.743	0.257	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.743	0.257	0.000
rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.743	0.257	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.742	0.258	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.742	0.258	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.742	0.258	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.742	0.258	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.741	0.259	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.741	0.259	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.741	0.259	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.741	0.259	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.741	0.259	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.741	0.259	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.740	0.260	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.740	0.260	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.740	0.260	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.738	0.262	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.738	0.262	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.737	0.262	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.737	0.263	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.736	0.263	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.736	0.264	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.736	0.264	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.736	0.264	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.736	0.264	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.736	0.264	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.736	0.264	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.736	0.264	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.735	0.265	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.734	0.266	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.734	0.266	0.000
rs76712070 lBF = `85.9674` Chr`1` : `243,050,615`	0.733	0.267	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.733	0.267	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.732	0.268	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.731	0.269	0.000
rs4632337 lBF = `14.828` Chr`2` : `216,766,065`	0.731	0.269	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.731	0.269	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.730	0.269	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.730	0.270	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.730	0.270	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.730	0.270	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.729	0.271	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.729	0.271	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.729	0.271	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.729	0.271	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.728	0.272	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.728	0.272	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.727	0.272	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.727	0.273	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.726	0.274	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.726	0.274	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.726	0.274	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.726	0.274	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.726	0.274	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.726	0.274	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.726	0.274	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.724	0.276	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.723	0.276	0.000
rs17425819 lBF = `15.7716` Chr`9` : `5,114,773`	0.723	0.277	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.722	0.278	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.722	0.278	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	0.722	0.278	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.721	0.279	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.721	0.279	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.721	0.279	0.000
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rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.686	0.314	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.685	0.314	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.685	0.314	0.000
rs1318498 lBF = `13.9758` Chr`1` : `246,557,784`	0.685	0.315	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.685	0.315	0.000
rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.685	0.315	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.685	0.315	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.685	0.315	0.000
rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.685	0.315	0.000
rs115890601 lBF = `18.5648` Chr`6` : `30,980,494`	0.685	0.315	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.685	0.315	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.685	0.315	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.685	0.315	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.685	0.315	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.685	0.315	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.684	0.315	0.000
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.684	0.316	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.684	0.316	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.684	0.316	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.684	0.316	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.684	0.316	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.684	0.316	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.684	0.316	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.684	0.316	0.000
rs16899661 lBF = `21.9129` Chr`6` : `31,430,401`	0.684	0.316	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.683	0.316	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.683	0.316	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.683	0.316	0.000
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.683	0.316	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.683	0.317	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.683	0.317	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.683	0.317	0.000
rs6453218 lBF = `11.8766` Chr`5` : `75,712,103`	0.682	0.318	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.682	0.318	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.682	0.318	0.000
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.682	0.318	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.682	0.318	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.682	0.318	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.682	0.318	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.682	0.318	0.000
rs2736108 lBF = `39.4002` Chr`5` : `1,297,488`	0.682	0.318	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.682	0.318	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.682	0.318	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.682	0.318	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.682	0.318	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.682	0.318	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.682	0.318	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.682	0.318	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.681	0.319	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.681	0.319	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.681	0.319	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.681	0.319	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.680	0.319	0.000
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.680	0.320	0.000
rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.680	0.320	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.680	0.320	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.680	0.320	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.680	0.320	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.680	0.320	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.680	0.320	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.680	0.320	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.679	0.320	0.000
rs2823752 lBF = `12.8636` Chr`21` : `17,717,125`	0.679	0.321	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.679	0.321	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.679	0.321	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.679	0.321	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.679	0.321	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.679	0.321	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.679	0.321	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.679	0.321	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.678	0.322	0.000
rs67068100 lBF = `25.2032` Chr`6` : `31,429,913`	0.678	0.322	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.678	0.322	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.678	0.322	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.678	0.322	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.677	0.322	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.677	0.323	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.677	0.323	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.677	0.323	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.677	0.323	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.677	0.323	0.000
rs10974944 lBF = `17.0373` Chr`9` : `5,070,831`	0.676	0.324	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.676	0.324	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.676	0.324	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.676	0.324	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.676	0.324	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.676	0.324	0.000
rs36051895 lBF = `13.7128` Chr`9` : `4,981,866`	0.676	0.324	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.676	0.324	0.000
rs1408272 lBF = `43.5505` Chr`6` : `25,842,951`	0.676	0.324	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.676	0.324	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.675	0.324	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.675	0.324	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.675	0.325	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.675	0.325	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.675	0.325	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.675	0.325	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.675	0.325	0.000
rs79019069 lBF = `4.63997` Chr`3` : `148,481,023`	0.675	0.325	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 X0289

log Bayes Factor = 60.4564

contains 1 variants

0.7565

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.2941

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2166

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.0873

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9916

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9897

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9812

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9755

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9719

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9707

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9677

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9626

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9598

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9581

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.9567

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9543

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9498

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9487

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9478

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9427

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9386

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9366

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9359

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9327

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9272

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9214

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9173

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9080

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9037

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9025

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8991

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8922

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8905

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8892

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8891

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8887

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8887

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8860

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8852

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8845

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8844

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8785

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8773

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8735

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8714

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8698

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8655

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8638

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8622

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8612

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8610

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8591

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8588

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.8586

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8585

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8569

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8567

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8554

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8539

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8491

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8469

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8443

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8413

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8402

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8344

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8340

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8312

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8307

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8298

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8285

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.8239

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8235

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8229

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8199

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8174

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8168

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8167

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8150

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8140

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.8090

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8086

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8077

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8033

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8020

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8005

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7994

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7965

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7953

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7952

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7900

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7868

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7855

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7853

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7849

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7845

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7773

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7760

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7753

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7704

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7689

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7682

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7680

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7676

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7655

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7622

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7608

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7564

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7557

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7518

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7493

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7487

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7476

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7464

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7425

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7416

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7399

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7393

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7391

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7384

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7357

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7304

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7280

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7274

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7267

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7265

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7261

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7261

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7259

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7255

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7236

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7230

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7201

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7192

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7191

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7189

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.7181

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7168

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7168

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7167

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6976

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6938

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6934

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6934

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6933

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6773

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6721

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6719

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6663

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6631

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6612

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6516

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6444

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6431

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6428

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6355

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6311

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6273

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6254

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6245

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.6222

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6220

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6155

Cluster X0022

log Bayes Factor = 66.3421

contains 6 variants

0.6126

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6120

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6038

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6003

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5988

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5891

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5889

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5846

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5752

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5728

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5665

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5636

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5602

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5586

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5573

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5533

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5523

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5379

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5334

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.5208

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.5201

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5180

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5125

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5021

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4984

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4977

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4792

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4613

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4544

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4544

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4512

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4492

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4453

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.4392

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4370

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4336

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4335

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4311

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4198

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3866

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3624

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3487

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3186

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2862

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2117

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2089

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2037

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1894

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1452

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1401

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1062

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`)