TreeWAS – [A41.1] Septicaemia due to other specified staphylococcus

Variant effects

Click on a variant to see its association results.

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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
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.962	0.038	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.953	0.047	0.000
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.953	0.047	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.906	0.094	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.894	0.106	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.887	0.113	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.884	0.115	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.883	0.117	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.883	0.117	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.882	0.118	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.879	0.121	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.865	0.135	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.860	0.140	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.858	0.142	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.855	0.145	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.852	0.148	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.847	0.152	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.845	0.155	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.843	0.157	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.843	0.157	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.843	0.157	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.842	0.158	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.839	0.161	0.000
rs17132883 lBF = `3.40941` Chr`5` : `110,502,429`	0.834	0.165	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.833	0.167	0.000
rs1602084 lBF = `1.34728` Chr`4` : `128,843,480`	0.833	0.167	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.833	0.167	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.830	0.170	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.828	0.172	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.827	0.173	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.827	0.173	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.821	0.179	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.817	0.183	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.814	0.186	0.000
rs180771047 lBF = `2.90315` Chr`2` : `227,185,851`	0.812	0.188	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.812	0.188	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.812	0.188	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.810	0.190	0.000
rs3093988 lBF = `129.906` Chr`6` : `31,492,453`	0.810	0.190	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.809	0.191	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.809	0.191	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.808	0.192	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.808	0.192	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.808	0.192	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.807	0.193	0.000
rs1370967 lBF = `2.26392` Chr`5` : `110,539,392`	0.806	0.194	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.805	0.195	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.803	0.197	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.801	0.199	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.797	0.203	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.795	0.205	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.795	0.205	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.794	0.206	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.794	0.206	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.792	0.208	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.791	0.209	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.791	0.209	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.790	0.210	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.789	0.211	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.788	0.212	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.788	0.212	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.788	0.212	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.786	0.214	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.786	0.214	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.783	0.217	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.782	0.218	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.782	0.218	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.781	0.218	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.780	0.220	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.780	0.220	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.778	0.222	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.777	0.223	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.776	0.224	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.773	0.227	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.772	0.228	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.771	0.229	0.000
rs17093520 lBF = `7.13877` Chr`14` : `74,346,295`	0.770	0.230	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.770	0.230	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.770	0.230	0.000
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.769	0.231	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.768	0.232	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.768	0.232	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.768	0.232	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.768	0.232	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.767	0.233	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.767	0.233	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.766	0.234	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.765	0.235	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.765	0.235	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.765	0.235	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.764	0.236	0.000
rs3094122 lBF = `186.196` Chr`6` : `30,728,360`	0.764	0.236	0.000
rs41270464 lBF = `20.6916` Chr`6` : `32,148,724`	0.763	0.237	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.763	0.237	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.763	0.237	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.762	0.238	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.760	0.239	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.760	0.240	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.759	0.241	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.758	0.242	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.757	0.243	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.757	0.243	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.756	0.244	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.755	0.245	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.755	0.245	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.755	0.245	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.754	0.246	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.753	0.247	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.753	0.247	0.000
rs34026679 lBF = `10.6117` Chr`21` : `27,248,814`	0.753	0.247	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.751	0.249	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.750	0.250	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.750	0.250	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.750	0.250	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.750	0.250	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.749	0.250	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.749	0.251	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.749	0.251	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.747	0.252	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.747	0.253	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.747	0.253	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.746	0.254	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.746	0.254	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.746	0.254	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.745	0.254	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.745	0.255	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.744	0.255	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.744	0.256	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.744	0.256	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.744	0.256	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.744	0.256	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.744	0.256	0.000
rs909253 lBF = `143.98` Chr`6` : `31,540,313`	0.744	0.256	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.743	0.257	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.743	0.257	0.000
rs61772626 lBF = `10.1601` Chr`1` : `57,015,668`	0.743	0.257	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.743	0.257	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.743	0.257	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.742	0.257	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.742	0.258	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.741	0.259	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.741	0.259	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.741	0.259	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.741	0.259	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.740	0.260	0.000
rs10511598 lBF = `5.70461` Chr`9` : `14,841,633`	0.738	0.262	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.737	0.263	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.737	0.263	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.737	0.263	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.736	0.264	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.735	0.264	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.735	0.265	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.735	0.265	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.735	0.265	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.735	0.265	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.734	0.266	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.732	0.268	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.731	0.269	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.731	0.269	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.731	0.269	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.730	0.270	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	0.728	0.272	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.728	0.272	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.728	0.272	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.728	0.272	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.728	0.272	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.724	0.276	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.724	0.276	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.724	0.276	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.722	0.278	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.722	0.278	0.000
rs3093974 lBF = `148.091` Chr`6` : `31,506,210`	0.721	0.279	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.721	0.279	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.720	0.280	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.720	0.280	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.720	0.280	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.719	0.281	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.719	0.281	0.000
rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.719	0.281	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.718	0.282	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.718	0.282	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.717	0.283	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.717	0.283	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.717	0.283	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.716	0.284	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.716	0.284	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.716	0.284	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.715	0.285	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.715	0.285	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.715	0.285	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.715	0.285	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.714	0.285	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.714	0.286	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.714	0.286	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.713	0.287	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.713	0.287	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.713	0.287	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.713	0.287	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.712	0.288	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.711	0.289	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.289	0.711
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.711	0.289	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.710	0.290	0.000
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rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.652	0.348	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.651	0.349	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.651	0.349	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.651	0.349	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.651	0.349	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.651	0.349	0.000
rs1228075 lBF = `5.39429` Chr`2` : `146,608,872`	0.651	0.349	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.650	0.349	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.650	0.350	0.000
rs9356786 lBF = `15.2486` Chr`6` : `21,914,212`	0.650	0.350	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.650	0.350	0.000
rs9332739 lBF = `16.6349` Chr`6` : `31,903,804`	0.649	0.351	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.649	0.351	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.649	0.351	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.648	0.352	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.648	0.352	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.648	0.352	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.648	0.352	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.648	0.352	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.648	0.352	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.647	0.353	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.647	0.353	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.647	0.353	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.647	0.353	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.647	0.353	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.646	0.354	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.646	0.354	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.646	0.354	0.000
rs2844586 lBF = `11.7203` Chr`6` : `31,318,024`	0.000	0.354	0.646
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.645	0.355	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.645	0.355	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.645	0.355	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.645	0.355	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.644	0.356	0.000
rs3130557 lBF = `159.98` Chr`6` : `31,094,703`	0.644	0.356	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.644	0.356	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.644	0.356	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.644	0.356	0.000
rs3094117 lBF = `175.363` Chr`6` : `30,737,486`	0.643	0.356	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.643	0.357	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.643	0.357	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.643	0.357	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.643	0.357	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.643	0.357	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.642	0.357	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.642	0.357	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.642	0.357	0.000
rs3094121 lBF = `184.849` Chr`6` : `30,730,960`	0.642	0.358	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.642	0.358	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.641	0.359	0.000
rs2844545 lBF = `180.307` Chr`6` : `31,345,229`	0.641	0.359	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.641	0.359	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.641	0.359	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.641	0.359	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.640	0.360	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.640	0.360	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.640	0.360	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.640	0.360	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.640	0.360	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.639	0.361	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.639	0.361	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.639	0.361	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.639	0.361	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.639	0.361	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.638	0.361	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.638	0.362	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.638	0.362	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.637	0.363	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.637	0.363	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.637	0.363	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.637	0.363	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.636	0.364	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.636	0.364	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.636	0.364	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.635	0.365	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.635	0.365	0.000
rs3129975 lBF = `186.631` Chr`6` : `30,732,054`	0.635	0.365	0.000
rs79050343 lBF = `8.99835` Chr`11` : `124,087,817`	0.634	0.366	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.634	0.366	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.634	0.366	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.634	0.366	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.634	0.366	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.634	0.366	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.634	0.366	0.000
rs4151672 lBF = `15.5949` Chr`6` : `31,919,830`	0.634	0.366	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.633	0.367	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.633	0.367	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.633	0.367	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.633	0.367	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.633	0.367	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.633	0.367	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.632	0.367	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.632	0.367	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.632	0.368	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.632	0.368	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.5624

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3385

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2262

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9986

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9984

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9962

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9955

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9948

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9935

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9888

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9886

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9861

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9852

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9790

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9756

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9743

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9726

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9723

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9721

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9712

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9667

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9636

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9634

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9620

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9603

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9582

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.9559

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9555

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9516

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9499

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9466

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9448

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9371

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9337

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9202

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9159

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9137

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9123

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9102

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9049

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9015

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9008

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8951

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8939

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8939

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8936

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8935

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8899

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8865

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8861

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8831

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8829

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8802

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8765

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8761

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8746

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8725

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8703

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8688

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8666

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8654

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8562

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8547

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8476

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8427

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8406

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8365

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8352

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8338

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8327

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8323

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8249

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8249

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8244

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8155

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8150

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8141

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8004

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7987

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7986

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7954

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7918

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7799

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7708

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7689

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7683

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7663

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7607

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7530

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7526

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7508

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7507

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7506

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7394

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7335

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7318

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7308

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7278

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7259

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7235

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7197

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7063

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7019

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7007

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6872

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6846

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6825

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6803

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6475

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6445

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6360

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6285

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6268

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6247

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6202

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6110

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6088

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6013

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6003

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5926

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5720

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5648

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5570

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5553

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5529

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5480

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5474

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5200

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5199

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5138

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5127

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5108

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5026

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5013

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4670

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4656

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4611

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4593

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4505

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4363

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4296

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4280

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4214

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4202

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3957

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3936

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3846

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3713

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3588

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3541

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3403

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3385

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3330

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3308

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3167

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3050

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2955

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2774

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2593

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2593

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2482

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2437

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2402

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2371

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2293

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2292

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2285

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2243

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2210

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1911

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1713

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1644

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1626

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1512

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1465

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1341

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1339

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1297

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1261

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1116

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1063

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1048

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0779

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0709

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0659

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0645

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0623

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0597

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0573

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0510

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)