TreeWAS – [C25.9] Pancreas, unspecified

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
rs885912 lBF = `179.285` Chr`6` : `30,174,633`	0.988	0.012	0.000
rs2523721 lBF = `181.304` Chr`6` : `30,166,266`	0.986	0.014	0.000
rs2765220 lBF = `145.929` Chr`6` : `28,769,671`	0.986	0.014	0.000
rs2021722 lBF = `181.818` Chr`6` : `30,174,131`	0.986	0.014	0.000
rs6922111 lBF = `93.7796` Chr`6` : `28,325,308`	0.986	0.014	0.000
rs2517645 lBF = `222.009` Chr`6` : `30,122,623`	0.985	0.015	0.000
rs6903823 lBF = `89.9101` Chr`6` : `28,322,296`	0.985	0.015	0.000
rs17301128 lBF = `90.5348` Chr`6` : `28,308,034`	0.985	0.015	0.000
rs2517618 lBF = `242.769` Chr`6` : `30,158,127`	0.983	0.017	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.983	0.017	0.000
rs6921919 lBF = `92.1777` Chr`6` : `28,325,201`	0.983	0.017	0.000
rs2523720 lBF = `241.707` Chr`6` : `30,166,886`	0.982	0.018	0.000
rs3129831 lBF = `214.164` Chr`6` : `30,234,627`	0.982	0.018	0.000
rs971570 lBF = `184.724` Chr`6` : `30,172,513`	0.982	0.018	0.000
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.981	0.019	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.981	0.019	0.000
rs885916 lBF = `241.114` Chr`6` : `30,202,571`	0.981	0.019	0.000
rs1405108 lBF = `2.7451` Chr`2` : `199,745,018`	0.000	0.021	0.979
rs6912584 lBF = `87.9417` Chr`6` : `28,309,590`	0.978	0.022	0.000
rs929157 lBF = `232.182` Chr`6` : `30,137,209`	0.977	0.023	0.000
rs3132657 lBF = `228.489` Chr`6` : `30,233,513`	0.977	0.023	0.000
rs3129702 lBF = `232.122` Chr`6` : `30,232,785`	0.976	0.024	0.000
rs2517613 lBF = `243.064` Chr`6` : `30,165,662`	0.975	0.025	0.000
rs3094071 lBF = `230.496` Chr`6` : `30,231,768`	0.975	0.025	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.975	0.025	0.000
rs3094073 lBF = `232.798` Chr`6` : `30,231,224`	0.972	0.028	0.000
rs3129837 lBF = `231.864` Chr`6` : `30,306,306`	0.972	0.028	0.000
rs2523722 lBF = `183.887` Chr`6` : `30,165,273`	0.972	0.028	0.000
rs2517611 lBF = `186.241` Chr`6` : `30,169,327`	0.971	0.029	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.970	0.030	0.000
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.970	0.030	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.970	0.030	0.000
rs3132658 lBF = `231.971` Chr`6` : `30,231,666`	0.969	0.031	0.000
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.969	0.031	0.000
rs3132659 lBF = `232.342` Chr`6` : `30,231,330`	0.968	0.032	0.000
rs3094072 lBF = `229.1` Chr`6` : `30,231,755`	0.968	0.032	0.000
rs3094630 lBF = `232.417` Chr`6` : `30,232,436`	0.967	0.033	0.000
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.967	0.033	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.963	0.037	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.963	0.037	0.000
rs36103239 lBF = `71.5921` Chr`6` : `28,586,282`	0.958	0.042	0.000
rs2844773 lBF = `234.47` Chr`6` : `30,207,495`	0.957	0.043	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.956	0.044	0.000
rs2022083 lBF = `228.09` Chr`6` : `30,213,540`	0.954	0.046	0.000
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.954	0.046	0.000
rs56131013 lBF = `87.9877` Chr`6` : `28,320,677`	0.953	0.047	0.000
rs3132390 lBF = `206.328` Chr`6` : `28,832,788`	0.951	0.049	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.951	0.049	0.000
rs3135296 lBF = `190.167` Chr`6` : `28,795,856`	0.950	0.050	0.000
rs1119211 lBF = `88.6883` Chr`6` : `28,309,136`	0.947	0.053	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	0.947	0.053	0.000
rs7772827 lBF = `79.203` Chr`6` : `28,301,143`	0.946	0.054	0.000
rs6903652 lBF = `89.1572` Chr`6` : `28,322,120`	0.944	0.056	0.000
rs3118361 lBF = `208.226` Chr`6` : `28,898,287`	0.943	0.057	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.942	0.058	0.000
rs7775835 lBF = `174.968` Chr`6` : `28,678,357`	0.941	0.059	0.000
rs9257802 lBF = `148.114` Chr`6` : `29,343,355`	0.940	0.060	0.000
rs3117143 lBF = `207.034` Chr`6` : `29,031,142`	0.938	0.062	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.936	0.064	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.936	0.064	0.000
rs9393929 lBF = `195.915` Chr`6` : `28,696,063`	0.935	0.065	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.934	0.066	0.000
rs3118357 lBF = `210.247` Chr`6` : `28,802,149`	0.934	0.066	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.934	0.066	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.931	0.069	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.930	0.070	0.000
rs3131343 lBF = `208.216` Chr`6` : `28,775,564`	0.929	0.071	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.929	0.071	0.000
rs6908726 lBF = `198.546` Chr`6` : `28,671,343`	0.928	0.072	0.000
rs12180820 lBF = `81.2043` Chr`6` : `28,316,478`	0.928	0.072	0.000
rs3118359 lBF = `213.695` Chr`6` : `28,793,904`	0.927	0.073	0.000
rs3132392 lBF = `212.95` Chr`6` : `28,838,629`	0.927	0.073	0.000
rs9257182 lBF = `117.786` Chr`6` : `28,754,817`	0.927	0.073	0.000
rs209181 lBF = `143.701` Chr`6` : `28,792,477`	0.926	0.074	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.926	0.074	0.000
rs4324798 lBF = `208.631` Chr`6` : `28,776,117`	0.926	0.074	0.000
rs9257248 lBF = `208.12` Chr`6` : `28,803,291`	0.922	0.078	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.922	0.078	0.000
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.922	0.078	0.000
rs1233478 lBF = `170.338` Chr`6` : `29,477,821`	0.921	0.079	0.000
rs144447022 lBF = `217.73` Chr`6` : `29,244,219`	0.921	0.079	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.921	0.079	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.920	0.080	0.000
rs9257805 lBF = `191.753` Chr`6` : `29,346,329`	0.919	0.081	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.918	0.082	0.000
rs1233579 lBF = `197.386` Chr`6` : `28,712,663`	0.917	0.083	0.000
rs3129788 lBF = `213.388` Chr`6` : `29,057,639`	0.916	0.084	0.000
rs3130834 lBF = `217.35` Chr`6` : `29,248,149`	0.915	0.085	0.000
rs6456834 lBF = `126.157` Chr`6` : `28,700,352`	0.915	0.085	0.000
rs9257793 lBF = `196.605` Chr`6` : `29,335,154`	0.914	0.086	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.914	0.086	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.914	0.086	0.000
rs3117137 lBF = `112.986` Chr`6` : `32,309,911`	0.913	0.087	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.913	0.087	0.000
rs12214723 lBF = `2.41708` Chr`6` : `41,993,688`	0.000	0.088	0.912
rs13211507 lBF = `197.103` Chr`6` : `28,257,377`	0.912	0.088	0.000
rs3116830 lBF = `213.214` Chr`6` : `29,167,575`	0.912	0.088	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.911	0.089	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.909	0.091	0.000
rs3130893 lBF = `213.192` Chr`6` : `28,980,707`	0.908	0.092	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.908	0.092	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.907	0.093	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.907	0.093	0.000
rs1233493 lBF = `223.835` Chr`6` : `29,458,241`	0.907	0.093	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	0.907	0.093	0.000
rs1233480 lBF = `226.569` Chr`6` : `29,477,414`	0.907	0.093	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	0.906	0.094	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	0.906	0.094	0.000
rs67340775 lBF = `199.939` Chr`6` : `28,304,384`	0.905	0.095	0.000
rs2232423 lBF = `201.397` Chr`6` : `28,366,151`	0.905	0.095	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.904	0.096	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.904	0.096	0.000
rs3130838 lBF = `210.533` Chr`6` : `28,866,528`	0.904	0.096	0.000
rs3129791 lBF = `212.141` Chr`6` : `28,954,293`	0.904	0.096	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.903	0.097	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.903	0.097	0.000
rs3130837 lBF = `209.57` Chr`6` : `28,948,092`	0.903	0.097	0.000
rs6770152 lBF = `4.02571` Chr`3` : `53,100,214`	0.903	0.097	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.903	0.097	0.000
rs9847710 lBF = `4.59756` Chr`3` : `53,062,661`	0.000	0.098	0.902
rs7767099 lBF = `208.838` Chr`6` : `28,768,698`	0.901	0.099	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.901	0.099	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.900	0.100	0.000
rs1233491 lBF = `226.91` Chr`6` : `29,461,730`	0.900	0.100	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	0.900	0.100	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.897	0.103	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.896	0.104	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.896	0.104	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.894	0.106	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.894	0.106	0.000
rs1311918 lBF = `208.355` Chr`6` : `28,753,646`	0.894	0.106	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.893	0.107	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.890	0.110	0.000
rs1165168 lBF = `95.143` Chr`6` : `25,859,508`	0.889	0.111	0.000
rs1324088 lBF = `94.6116` Chr`6` : `25,841,122`	0.889	0.111	0.000
rs1233619 lBF = `203.327` Chr`6` : `28,745,452`	0.888	0.112	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.887	0.113	0.000
rs2746149 lBF = `222.222` Chr`6` : `29,435,355`	0.885	0.115	0.000
rs2746150 lBF = `227.263` Chr`6` : `29,442,701`	0.885	0.115	0.000
rs3117439 lBF = `205.088` Chr`6` : `29,266,483`	0.884	0.116	0.000
rs2523443 lBF = `227.406` Chr`6` : `29,415,464`	0.884	0.116	0.000
rs3749971 lBF = `211.982` Chr`6` : `29,342,775`	0.884	0.116	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.884	0.116	0.000
rs1233489 lBF = `226.669` Chr`6` : `29,463,043`	0.883	0.117	0.000
rs13063872 lBF = `1.31572` Chr`3` : `71,464,335`	0.882	0.118	0.000
rs213230 lBF = `76.3996` Chr`6` : `28,330,264`	0.882	0.118	0.000
rs9543325 lBF = `0.851222` Chr`13` : `73,916,628`	0.000	0.119	0.881
rs2736108 lBF = `39.4002` Chr`5` : `1,297,488`	0.000	0.121	0.879
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.879	0.121	0.000
rs442694 lBF = `223.716` Chr`6` : `29,356,687`	0.879	0.121	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.878	0.122	0.000
rs1235162 lBF = `240.328` Chr`6` : `29,537,224`	0.877	0.123	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.876	0.124	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	0.875	0.125	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.872	0.128	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.871	0.129	0.000
rs73045695 lBF = `7.26665` Chr`3` : `177,547,836`	0.868	0.132	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.868	0.132	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.867	0.133	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.866	0.134	0.000
rs404240 lBF = `232.726` Chr`6` : `29,523,957`	0.864	0.136	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.862	0.138	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.861	0.139	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.860	0.140	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.859	0.141	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.859	0.141	0.000
rs1038903 lBF = `0.900745` Chr`4` : `28,752,054`	0.858	0.142	0.000
rs11126117 lBF = `5.81076` Chr`2` : `67,479,214`	0.858	0.142	0.000
rs3117425 lBF = `206.73` Chr`6` : `29,260,431`	0.857	0.143	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.856	0.144	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.856	0.144	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.856	0.144	0.000
rs13200797 lBF = `98.3608` Chr`6` : `26,122,957`	0.855	0.145	0.000
rs429479 lBF = `220.258` Chr`6` : `29,372,323`	0.854	0.146	0.000
rs1233604 lBF = `190.369` Chr`6` : `28,734,676`	0.853	0.147	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.852	0.148	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.850	0.150	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.849	0.151	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.849	0.151	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.849	0.151	0.000
rs57387722 lBF = `5.02831` Chr`4` : `31,011,294`	0.847	0.153	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.847	0.153	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.845	0.155	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.845	0.155	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.840	0.160	0.000
rs501220 lBF = `90.8209` Chr`6` : `25,873,025`	0.839	0.161	0.000
rs16894197 lBF = `73.6741` Chr`6` : `28,648,271`	0.839	0.161	0.000
rs1233396 lBF = `230.713` Chr`6` : `29,546,799`	0.837	0.163	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.836	0.164	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.836	0.164	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.833	0.167	0.000
rs1324087 lBF = `95.6518` Chr`6` : `25,841,408`	0.833	0.167	0.000
rs2834812 lBF = `1.53993` Chr`21` : `36,533,662`	0.832	0.168	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.832	0.168	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.832	0.168	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.830	0.170	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.829	0.171	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.827	0.173	0.000
rs926552 lBF = `229.967` Chr`6` : `29,548,089`	0.827	0.173	0.000
rs13217619 lBF = `199.852` Chr`6` : `28,306,671`	0.827	0.173	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.826	0.174	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.826	0.174	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.826	0.174	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.826	0.174	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.824	0.176	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.824	0.176	0.000
rs3129683 lBF = `143.965` Chr`6` : `29,286,670`	0.822	0.178	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.821	0.179	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.820	0.180	0.000
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rs72955118 lBF = `14.2942` Chr`3` : `71,869,056`	0.816	0.184	0.000
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rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.815	0.185	0.000
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rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.814	0.185	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.814	0.186	0.000
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rs72849247 lBF = `90.4818` Chr`6` : `32,453,194`	0.000	0.190	0.810
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	0.809	0.191	0.000
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rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.710	0.290	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.709	0.291	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.709	0.291	0.000
rs9468344 lBF = `79.3411` Chr`6` : `28,309,569`	0.707	0.293	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.706	0.294	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.705	0.295	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.704	0.296	0.000
rs3096681 lBF = `77.0179` Chr`6` : `32,235,177`	0.704	0.296	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.703	0.297	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.703	0.297	0.000
rs3115560 lBF = `76.4939` Chr`6` : `32,236,142`	0.703	0.297	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.703	0.297	0.000
rs12498839 lBF = `0.562618` Chr`4` : `176,731,401`	0.702	0.298	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.702	0.298	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.702	0.298	0.000
rs9268055 lBF = `76.1528` Chr`6` : `32,230,608`	0.701	0.299	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.701	0.299	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.700	0.300	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.700	0.300	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.699	0.301	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.699	0.301	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.698	0.302	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.697	0.303	0.000
rs17720293 lBF = `161.024` Chr`6` : `28,214,698`	0.697	0.303	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.696	0.304	0.000
rs1633096 lBF = `97.5333` Chr`6` : `29,707,267`	0.696	0.304	0.000
rs9268135 lBF = `85.8206` Chr`6` : `32,255,230`	0.695	0.305	0.000
rs6909427 lBF = `79.0866` Chr`6` : `32,268,701`	0.695	0.305	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.692	0.308	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.692	0.308	0.000
rs5004277 lBF = `99.9987` Chr`6` : `32,582,354`	0.692	0.308	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.692	0.308	0.000
rs16891315 lBF = `91.5417` Chr`6` : `26,111,756`	0.691	0.309	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.690	0.310	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.690	0.310	0.000
rs73201717 lBF = `0.712049` Chr`8` : `16,682,746`	0.690	0.310	0.000
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	0.690	0.310	0.000
rs10514718 lBF = `1.82647` Chr`3` : `61,413,814`	0.688	0.312	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.688	0.312	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.687	0.313	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.687	0.313	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.687	0.313	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.687	0.313	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.685	0.315	0.000
rs115686841 lBF = `19.4793` Chr`1` : `168,849,245`	0.685	0.315	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.685	0.315	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.685	0.315	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.684	0.316	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.683	0.317	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.682	0.318	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.682	0.318	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.681	0.319	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.681	0.319	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.681	0.319	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.680	0.320	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.678	0.322	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.677	0.323	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.677	0.323	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.676	0.324	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.676	0.324	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.676	0.324	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.675	0.325	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.675	0.325	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.675	0.325	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.674	0.326	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.674	0.326	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.674	0.326	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.673	0.327	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.672	0.328	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.672	0.328	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.672	0.328	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.671	0.329	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.671	0.329	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.671	0.329	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.670	0.330	0.000
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.669	0.331	0.000
rs6935269 lBF = `77.7504` Chr`6` : `32,260,350`	0.668	0.332	0.000
rs9266340 lBF = `17.9247` Chr`6` : `31,331,306`	0.668	0.332	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.668	0.332	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.668	0.332	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.668	0.332	0.000
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.667	0.332	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.667	0.333	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.667	0.333	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.667	0.333	0.000
rs6940698 lBF = `103.27` Chr`6` : `25,821,580`	0.666	0.334	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.666	0.334	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.666	0.334	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.665	0.335	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.665	0.335	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.664	0.336	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 X0317

log Bayes Factor = 95.4365

contains 2 variants

0.8279

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3461

Cluster X0027

log Bayes Factor = 25.8087

contains 2 variants

0.2204

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1496

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9984

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9981

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9928

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9918

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9891

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9889

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9877

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9870

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9829

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9775

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9704

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9480

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9306

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9234

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9062

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9059

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8799

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8723

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8356

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8144

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8113

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8088

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8040

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7950

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7897

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7776

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7760

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7750

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7717

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7716

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7668

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7635

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7310

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7244

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7240

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7207

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7185

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7167

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7160

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6991

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6815

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6768

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6667

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6557

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6536

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6210

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6186

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5981

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5968

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5965

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5925

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5898

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5839

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5768

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5767

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5688

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5606

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5584

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5574

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5431

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5394

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5386

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5369

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5278

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5254

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5165

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5050

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4830

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4770

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4735

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4712

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.4648

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4344

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4290

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4136

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4065

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4028

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4027

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3976

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3738

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3540

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3476

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3470

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3447

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3404

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.3265

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3223

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3221

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3210

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3204

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2967

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2923

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2862

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2497

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2405

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2384

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2361

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2332

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2260

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2251

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2248

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2076

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1965

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1950

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1943

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1927

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1668

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1653

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1634

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1621

Cluster X0252

log Bayes Factor = 170.729

contains 6 variants

0.1477

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1451

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1419

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1407

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1357

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1357

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1235

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1221

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1214

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1199

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1164

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1113

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.1081

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1037

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1001

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0984

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0978

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0937

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0929

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0920

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0916

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0766

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0728

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0723

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0667

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0648

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0641

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0638

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0613

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0572

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0554

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0553

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0551

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0551

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0546

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0524

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0517

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`)