TreeWAS – [C92.0] Acute myeloid leukaemia

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
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.938	0.062	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.932	0.068	0.000
rs13016963 lBF = `27.0109` Chr`2` : `202,162,811`	0.000	0.068	0.932
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.916	0.084	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.900	0.100	0.000
rs72709458 lBF = `44.6062` Chr`5` : `1,283,755`	0.897	0.103	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.895	0.105	0.000
rs11007350 lBF = `0.906871` Chr`10` : `29,289,031`	0.000	0.116	0.884
rs2050189 lBF = `49.4345` Chr`6` : `32,339,647`	0.875	0.125	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.874	0.126	0.000
rs2535332 lBF = `137.95` Chr`6` : `30,813,249`	0.871	0.129	0.000
rs9392026 lBF = `31.9991` Chr`6` : `453,415`	0.866	0.134	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.862	0.138	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.861	0.139	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.861	0.139	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.859	0.141	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.857	0.143	0.000
rs4356975 lBF = `1.22512` Chr`4` : `69,972,463`	0.856	0.144	0.000
rs2859090 lBF = `49.2713` Chr`6` : `32,700,833`	0.856	0.144	0.000
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.856	0.144	0.000
rs410851 lBF = `239.5` Chr`6` : `31,936,668`	0.855	0.145	0.000
rs114763188 lBF = `9.2156` Chr`2` : `227,016,204`	0.855	0.145	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.855	0.145	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.855	0.145	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.854	0.146	0.000
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.852	0.148	0.000
rs13241427 lBF = `2.02766` Chr`7` : `1,288,639`	0.000	0.150	0.850
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.850	0.150	0.000
rs17588027 lBF = `5.22086` Chr`2` : `195,753,154`	0.848	0.152	0.000
rs3131934 lBF = `112.591` Chr`6` : `30,931,844`	0.847	0.153	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.846	0.154	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.846	0.154	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.844	0.156	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.841	0.159	0.000
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.837	0.163	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.837	0.163	0.000
rs2859078 lBF = `41.525` Chr`6` : `32,702,449`	0.836	0.164	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.836	0.164	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.834	0.166	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.833	0.167	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.832	0.168	0.000
rs2858884 lBF = `41.3957` Chr`6` : `32,700,083`	0.832	0.168	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.831	0.169	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.830	0.170	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.830	0.170	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.828	0.171	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.826	0.174	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.824	0.176	0.000
rs389883 lBF = `240.061` Chr`6` : `31,947,460`	0.824	0.176	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.824	0.176	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.823	0.177	0.000
rs454768 lBF = `5.28137` Chr`18` : `29,628,863`	0.822	0.178	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.821	0.179	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.820	0.180	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.820	0.180	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.819	0.181	0.000
rs3131783 lBF = `113.654` Chr`6` : `30,932,068`	0.817	0.183	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.816	0.184	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.815	0.184	0.000
rs74747509 lBF = `13.8375` Chr`2` : `167,581,121`	0.815	0.185	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.814	0.186	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.814	0.186	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.813	0.187	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.812	0.188	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.807	0.193	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.806	0.194	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.805	0.195	0.000
rs440454 lBF = `233.155` Chr`6` : `31,927,342`	0.805	0.195	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.804	0.196	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.804	0.196	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.802	0.198	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.802	0.198	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.801	0.199	0.000
rs419788 lBF = `237.889` Chr`6` : `31,928,799`	0.800	0.200	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.800	0.200	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.800	0.200	0.000
rs886423 lBF = `103.95` Chr`6` : `30,782,205`	0.799	0.201	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.799	0.201	0.000
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.799	0.201	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.796	0.204	0.000
rs3094072 lBF = `229.1` Chr`6` : `30,231,755`	0.796	0.204	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.795	0.205	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.795	0.205	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.794	0.206	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.794	0.206	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.794	0.206	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.794	0.206	0.000
rs9275686 lBF = `40.9298` Chr`6` : `32,687,570`	0.794	0.206	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.794	0.206	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.793	0.207	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.793	0.207	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.792	0.208	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.792	0.208	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.789	0.211	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.789	0.211	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.788	0.211	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.786	0.214	0.000
rs2080303 lBF = `44.1752` Chr`2` : `202,165,206`	0.000	0.214	0.786
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.786	0.214	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.785	0.215	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.785	0.215	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.782	0.218	0.000
rs10931936 lBF = `43.6499` Chr`2` : `202,143,928`	0.781	0.219	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.781	0.219	0.000
rs9275660 lBF = `44.9982` Chr`6` : `32,686,196`	0.781	0.219	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.781	0.219	0.000
rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	0.781	0.219	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.780	0.220	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.780	0.220	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.779	0.221	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.779	0.221	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.779	0.221	0.000
rs3094694 lBF = `198.27` Chr`6` : `30,451,904`	0.779	0.221	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.779	0.221	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.778	0.222	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.778	0.222	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.777	0.223	0.000
rs9276357 lBF = `44.734` Chr`6` : `32,706,559`	0.777	0.223	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.777	0.223	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.776	0.224	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.776	0.224	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.776	0.224	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.775	0.225	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.775	0.225	0.000
rs9276351 lBF = `43.5023` Chr`6` : `32,706,416`	0.775	0.225	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.774	0.226	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.773	0.227	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.772	0.228	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.770	0.230	0.000
rs9275936 lBF = `42.8161` Chr`6` : `32,692,933`	0.770	0.230	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.770	0.230	0.000
rs437179 lBF = `234.386` Chr`6` : `31,929,014`	0.768	0.232	0.000
rs9275652 lBF = `43.9565` Chr`6` : `32,685,822`	0.768	0.232	0.000
rs9276555 lBF = `47.5727` Chr`6` : `32,722,754`	0.768	0.232	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.768	0.232	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.768	0.232	0.000
rs3094071 lBF = `230.496` Chr`6` : `30,231,768`	0.767	0.233	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.766	0.234	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.765	0.235	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.764	0.236	0.000
rs565229 lBF = `1.36315` Chr`11` : `122,189,465`	0.764	0.236	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.763	0.237	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.762	0.238	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.762	0.238	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.762	0.238	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.761	0.239	0.000
rs3129831 lBF = `214.164` Chr`6` : `30,234,627`	0.761	0.239	0.000
rs9275659 lBF = `44.8216` Chr`6` : `32,686,103`	0.761	0.239	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.760	0.240	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.759	0.241	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.759	0.241	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.758	0.242	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.757	0.243	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.756	0.244	0.000
rs9276607 lBF = `45.6467` Chr`6` : `32,737,257`	0.756	0.244	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.754	0.246	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.754	0.246	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.754	0.246	0.000
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.753	0.247	0.000
rs1264352 lBF = `100.387` Chr`6` : `30,789,647`	0.752	0.248	0.000
rs2517645 lBF = `222.009` Chr`6` : `30,122,623`	0.752	0.248	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.751	0.249	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.750	0.250	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.750	0.250	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.749	0.251	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.749	0.251	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.749	0.251	0.000
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	0.748	0.252	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.748	0.252	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.747	0.253	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.747	0.253	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.747	0.253	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.747	0.253	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.746	0.254	0.000
rs3132659 lBF = `232.342` Chr`6` : `30,231,330`	0.746	0.254	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.744	0.256	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.743	0.257	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.743	0.257	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.743	0.257	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.743	0.257	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.742	0.258	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.742	0.258	0.000
rs9276556 lBF = `47.6167` Chr`6` : `32,723,233`	0.741	0.259	0.000
rs3094073 lBF = `232.798` Chr`6` : `30,231,224`	0.741	0.259	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.740	0.260	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.740	0.260	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.740	0.260	0.000
rs241438 lBF = `109.368` Chr`6` : `32,797,620`	0.740	0.260	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.739	0.261	0.000
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.738	0.262	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.737	0.263	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.737	0.263	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.736	0.264	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.736	0.264	0.000
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.736	0.264	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.734	0.266	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.734	0.266	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.733	0.267	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.733	0.267	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.732	0.268	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.732	0.268	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.732	0.268	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.731	0.269	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.731	0.269	0.000
rs3096697 lBF = `98.9911` Chr`6` : `32,134,510`	0.731	0.269	0.000
rs2853677 lBF = `56.6519` Chr`5` : `1,287,194`	0.730	0.270	0.000
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rs62295986 lBF = `9.09224` Chr`3` : `169,354,710`	0.625	0.375	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.625	0.375	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.625	0.375	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.625	0.375	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.624	0.376	0.000
rs13220395 lBF = `97.3969` Chr`6` : `26,055,368`	0.624	0.376	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.624	0.376	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.624	0.376	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.624	0.376	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.624	0.376	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.623	0.377	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.623	0.377	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.623	0.377	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.623	0.377	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.622	0.378	0.000
rs1811197 lBF = `124.907` Chr`6` : `31,327,660`	0.622	0.378	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.622	0.378	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.622	0.378	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	0.621	0.379	0.000
Affx-52368556 lBF = `236.51` Chr`6` : `31,084,935`	0.621	0.379	0.000
rs73730372 lBF = `80.3636` Chr`6` : `32,584,581`	0.000	0.379	0.621
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.621	0.379	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.621	0.379	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.620	0.380	0.000
rs79500346 lBF = `5.77595` Chr`4` : `59,614,702`	0.620	0.380	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.619	0.381	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.619	0.381	0.000
rs6940698 lBF = `103.27` Chr`6` : `25,821,580`	0.618	0.382	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.617	0.383	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.616	0.384	0.000
rs16891264 lBF = `98.1636` Chr`6` : `26,072,445`	0.616	0.384	0.000
rs13397985 lBF = `0.833721` Chr`2` : `231,091,223`	0.616	0.384	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.615	0.385	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.615	0.385	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.614	0.386	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.613	0.387	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.613	0.387	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.613	0.387	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.613	0.387	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.612	0.388	0.000
rs16891235 lBF = `94.1744` Chr`6` : `26,017,542`	0.612	0.388	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.612	0.388	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.612	0.388	0.000
rs9461222 lBF = `92.7631` Chr`6` : `25,905,111`	0.610	0.390	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	0.610	0.390	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.610	0.390	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.610	0.390	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.609	0.391	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.609	0.391	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.607	0.393	0.000
rs9273011 lBF = `165.34` Chr`6` : `32,611,611`	0.607	0.393	0.000
rs2535296 lBF = `120.164` Chr`6` : `31,060,219`	0.607	0.393	0.000
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.000	0.393	0.607
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.605	0.395	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.605	0.395	0.000
rs62414823 lBF = `7.58322` Chr`6` : `115,891,711`	0.604	0.396	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.604	0.396	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.603	0.397	0.000
rs674313 lBF = `146.852` Chr`6` : `32,578,082`	0.603	0.397	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.603	0.397	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.603	0.397	0.000
rs10484435 lBF = `97.6497` Chr`6` : `26,031,811`	0.603	0.397	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.603	0.397	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.602	0.398	0.000
rs9493873 lBF = `5.52086` Chr`6` : `134,576,511`	0.601	0.398	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.601	0.399	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.601	0.399	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.601	0.399	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.601	0.399	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.600	0.400	0.000
rs114709725 lBF = `15.4695` Chr`2` : `207,557,965`	0.600	0.400	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.600	0.400	0.000
rs79682748 lBF = `17.0173` Chr`1` : `66,989,719`	0.599	0.401	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.599	0.401	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.599	0.401	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.598	0.402	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.598	0.402	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.597	0.402	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	0.597	0.403	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.597	0.403	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.597	0.403	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.597	0.403	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.596	0.404	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.596	0.404	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.596	0.404	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.596	0.404	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.595	0.405	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.595	0.405	0.000
rs9272630 lBF = `162.464` Chr`6` : `32,608,150`	0.595	0.405	0.000
rs12000445 lBF = `0.912959` Chr`9` : `23,426,271`	0.594	0.406	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

0.1427

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9994

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9977

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9973

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9926

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9913

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9819

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9773

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9761

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9730

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9729

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9673

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9665

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9656

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9652

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9594

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9569

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9453

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9401

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9354

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9317

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9312

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9265

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9223

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9122

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9069

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9013

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8929

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8824

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.8773

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8657

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8571

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8524

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8517

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8494

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8444

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8414

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8333

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8293

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8243

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8223

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8146

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8101

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8100

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8060

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8052

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7996

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7929

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7927

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7870

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7869

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.7797

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7766

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7758

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7755

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7750

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7711

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7594

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7465

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7386

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7351

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7331

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7282

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7206

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7145

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7004

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6978

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6963

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6943

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6878

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6674

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6614

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.6580

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6578

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6557

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6365

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6261

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6253

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6179

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6112

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6060

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5946

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5935

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5898

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.5780

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5759

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5682

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5629

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5605

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5550

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5329

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5319

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5289

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5192

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5069

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5028

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4946

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4945

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4923

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4867

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4778

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4701

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4681

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4589

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4500

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4496

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4454

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4391

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4366

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4293

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4189

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4156

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4108

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3994

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3985

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3935

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3753

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3749

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3742

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3735

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3710

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3666

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3526

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.3426

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3416

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3257

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3218

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3119

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.2874

Cluster X0272

log Bayes Factor = 22.1927

contains 2 variants

0.2821

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2678

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2539

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2529

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2454

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2418

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2400

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2324

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2104

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2055

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2009

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1944

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1937

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1933

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1894

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1728

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1659

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1486

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1471

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1464

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1424

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1364

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1329

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1285

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1177

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1176

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1085

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1061

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0981

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0934

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0920

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0879

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0871

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0812

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0807

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0768

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0684

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0678

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0606

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0597

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0547

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0505

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`)