TreeWAS – [K70] Alcoholic liver disease

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K70

Alcoholic liver disease

Parent term	K70-K77 Diseases of liver
Nested terms	K70.0 Alcoholic fatty liver K70.1 Alcoholic hepatitis K70.2 Alcoholic fibrosis and sclerosis of liver K70.3 Alcoholic cirrhosis of liver K70.4 Alcoholic hepatic failure K70.9 Alcoholic liver disease, unspecified

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Variant effects

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs72944217 lBF = `9.75405` Chr`6` : `112,168,187`	1.000	0.000	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.994	0.006	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.994	0.006	0.000
rs12614 lBF = `9.06097` Chr`6` : `31,914,179`	0.000	0.010	0.990
rs13194491 lBF = `199.599` Chr`6` : `27,037,080`	0.985	0.015	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.984	0.016	0.000
Affx-28423542 lBF = `105.199` Chr`6` : `30,075,864`	0.977	0.023	0.000
rs9275601 lBF = `161.644` Chr`6` : `32,682,664`	0.971	0.029	0.000
rs7744212 lBF = `15.9284` Chr`6` : `112,275,639`	0.969	0.031	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.969	0.031	0.000
rs13214703 lBF = `151.316` Chr`6` : `27,941,387`	0.968	0.032	0.000
rs2023472 lBF = `98.8104` Chr`6` : `30,075,864`	0.000	0.033	0.967
rs6922431 lBF = `22.0345` Chr`6` : `31,465,030`	0.000	0.034	0.966
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.963	0.037	0.000
rs9380240 lBF = `54.5503` Chr`6` : `31,268,832`	0.000	0.039	0.961
rs3130564 lBF = `267.188` Chr`6` : `31,101,674`	0.953	0.047	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.947	0.053	0.000
rs80215559 lBF = `40.8472` Chr`6` : `25,918,225`	0.944	0.056	0.000
rs2523587 lBF = `217.283` Chr`6` : `31,327,400`	0.942	0.058	0.000
rs6907296 lBF = `14.4576` Chr`6` : `22,476,568`	0.940	0.060	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.939	0.061	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.938	0.062	0.000
rs3130977 lBF = `228.553` Chr`6` : `31,081,989`	0.937	0.063	0.000
rs9366778 lBF = `70.1948` Chr`6` : `31,269,173`	0.000	0.065	0.935
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.931	0.069	0.000
rs3132610 lBF = `294.749` Chr`6` : `30,544,401`	0.919	0.081	0.000
rs3118362 lBF = `108.751` Chr`6` : `28,785,085`	0.918	0.082	0.000
rs2524054 lBF = `252.073` Chr`6` : `31,252,396`	0.000	0.082	0.918
rs2233974 lBF = `113.942` Chr`6` : `31,080,016`	0.917	0.083	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.912	0.088	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.911	0.089	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.911	0.089	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.908	0.092	0.000
rs2246954 lBF = `124.205` Chr`6` : `31,265,262`	0.908	0.092	0.000
rs34182778 lBF = `229.887` Chr`6` : `31,084,942`	0.907	0.093	0.000
rs6457374 lBF = `249.684` Chr`6` : `31,272,261`	0.906	0.094	0.000
rs3095298 lBF = `239.113` Chr`6` : `31,082,932`	0.902	0.098	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.902	0.098	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.901	0.099	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.901	0.099	0.000
rs3130552 lBF = `228.001` Chr`6` : `31,082,127`	0.900	0.100	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.900	0.100	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.895	0.105	0.000
rs2857595 lBF = `92.5025` Chr`6` : `31,568,469`	0.895	0.105	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.894	0.106	0.000
rs3094216 lBF = `239.383` Chr`6` : `31,084,048`	0.893	0.107	0.000
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.892	0.108	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.891	0.109	0.000
rs886423 lBF = `103.95` Chr`6` : `30,782,205`	0.891	0.109	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.890	0.110	0.000
rs2535332 lBF = `137.95` Chr`6` : `30,813,249`	0.890	0.110	0.000
rs652888 lBF = `121.496` Chr`6` : `31,851,234`	0.890	0.110	0.000
rs71559084 lBF = `132.261` Chr`6` : `28,436,668`	0.890	0.110	0.000
rs3094220 lBF = `239.557` Chr`6` : `31,082,987`	0.888	0.112	0.000
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.887	0.113	0.000
rs9263708 lBF = `251.317` Chr`6` : `31,095,270`	0.887	0.113	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.887	0.113	0.000
rs881826 lBF = `5.51054` Chr`6` : `112,301,625`	0.886	0.114	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.885	0.115	0.000
rs577272 lBF = `128.797` Chr`6` : `31,837,963`	0.885	0.115	0.000
Affx-52368556 lBF = `236.51` Chr`6` : `31,084,935`	0.884	0.116	0.000
rs2524156 lBF = `147.433` Chr`6` : `31,260,397`	0.884	0.116	0.000
rs2524066 lBF = `155.995` Chr`6` : `31,269,154`	0.883	0.117	0.000
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.883	0.117	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.882	0.118	0.000
rs2524089 lBF = `153.346` Chr`6` : `31,266,522`	0.882	0.118	0.000
rs3132584 lBF = `215.866` Chr`6` : `30,688,427`	0.879	0.121	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.878	0.122	0.000
rs117293402 lBF = `14.7593` Chr`6` : `110,946,140`	0.878	0.122	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.877	0.123	0.000
rs2853935 lBF = `155.153` Chr`6` : `31,253,878`	0.877	0.123	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.876	0.124	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.875	0.125	0.000
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.874	0.126	0.000
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.874	0.126	0.000
rs3130557 lBF = `159.98` Chr`6` : `31,094,703`	0.874	0.126	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.873	0.127	0.000
rs3132550 lBF = `240.835` Chr`6` : `31,086,048`	0.871	0.129	0.000
rs3095329 lBF = `217.089` Chr`6` : `30,693,816`	0.870	0.130	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.868	0.132	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.867	0.133	0.000
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.866	0.134	0.000
rs2853933 lBF = `156.443` Chr`6` : `31,254,088`	0.866	0.134	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.864	0.136	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.863	0.137	0.000
rs1264352 lBF = `100.387` Chr`6` : `30,789,647`	0.862	0.138	0.000
rs2242665 lBF = `128.069` Chr`6` : `31,839,309`	0.862	0.138	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.862	0.138	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.861	0.139	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.856	0.144	0.000
rs1408272 lBF = `43.5505` Chr`6` : `25,842,951`	0.856	0.144	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.855	0.145	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.854	0.146	0.000
rs2395029 lBF = `87.593` Chr`6` : `31,431,780`	0.853	0.147	0.000
rs2844795 lBF = `67.4036` Chr`6` : `30,073,847`	0.853	0.147	0.000
rs3130975 lBF = `209.002` Chr`6` : `31,081,838`	0.852	0.148	0.000
rs644827 lBF = `129.081` Chr`6` : `31,838,441`	0.851	0.149	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.850	0.150	0.000
rs75781704 lBF = `13.7978` Chr`6` : `47,909,123`	0.847	0.153	0.000
rs7748494 lBF = `20.1356` Chr`6` : `32,448,808`	0.000	0.157	0.843
rs2243868 lBF = `154.689` Chr`6` : `31,261,276`	0.842	0.158	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.839	0.161	0.000
rs887466 lBF = `96.6669` Chr`6` : `31,143,511`	0.000	0.161	0.839
rs1233493 lBF = `223.835` Chr`6` : `29,458,241`	0.837	0.163	0.000
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	0.837	0.163	0.000
rs644774 lBF = `129.034` Chr`6` : `31,838,490`	0.834	0.166	0.000
rs9263980 lBF = `154.685` Chr`6` : `31,188,397`	0.833	0.167	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.833	0.167	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.832	0.168	0.000
rs3131934 lBF = `112.591` Chr`6` : `30,931,844`	0.831	0.169	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.830	0.170	0.000
rs2524163 lBF = `155.398` Chr`6` : `31,259,579`	0.829	0.171	0.000
rs2746149 lBF = `222.222` Chr`6` : `29,435,355`	0.828	0.172	0.000
rs2853939 lBF = `146.056` Chr`6` : `31,250,642`	0.827	0.173	0.000
rs9263927 lBF = `154.559` Chr`6` : `31,178,233`	0.825	0.175	0.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	0.825	0.175	0.000
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	0.823	0.177	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.822	0.178	0.000
rs114609017 lBF = `12.1302` Chr`6` : `32,585,632`	0.000	0.180	0.820
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.817	0.183	0.000
rs7744381 lBF = `115.071` Chr`6` : `33,081,798`	0.816	0.184	0.000
rs1811197 lBF = `124.907` Chr`6` : `31,327,660`	0.815	0.185	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.814	0.186	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.814	0.186	0.000
rs486416 lBF = `185.353` Chr`6` : `31,856,070`	0.813	0.187	0.000
rs3094127 lBF = `214.194` Chr`6` : `30,697,447`	0.811	0.189	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.805	0.195	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.805	0.195	0.000
rs9461832 lBF = `129.551` Chr`6` : `33,056,384`	0.804	0.195	0.000
rs2524095 lBF = `148.829` Chr`6` : `31,266,117`	0.802	0.198	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.802	0.198	0.000
rs2507997 lBF = `261.668` Chr`6` : `31,314,781`	0.801	0.199	0.000
rs3130782 lBF = `262.171` Chr`6` : `30,914,843`	0.801	0.199	0.000
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.800	0.200	0.000
rs73729108 lBF = `17.2585` Chr`6` : `32,514,607`	0.000	0.201	0.799
rs9359466 lBF = `16.1014` Chr`6` : `81,935,652`	0.797	0.203	0.000
Affx-28513472 lBF = `130.257` Chr`6` : `33,053,577`	0.795	0.205	0.000
rs9461755 lBF = `20.0062` Chr`6` : `32,441,046`	0.000	0.205	0.795
rs3869109 lBF = `151.496` Chr`6` : `31,184,196`	0.000	0.206	0.794
rs1265155 lBF = `92.2507` Chr`6` : `31,143,694`	0.000	0.206	0.794
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.792	0.208	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.789	0.211	0.000
rs1541269 lBF = `254.96` Chr`6` : `30,103,360`	0.788	0.212	0.000
rs3117427 lBF = `198.849` Chr`6` : `29,274,136`	0.787	0.213	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.786	0.214	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.785	0.215	0.000
rs3131783 lBF = `113.654` Chr`6` : `30,932,068`	0.784	0.216	0.000
rs182946095 lBF = `14.8151` Chr`6` : `167,730,166`	0.783	0.217	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.781	0.219	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.780	0.220	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.779	0.221	0.000
rs6900341 lBF = `0.691795` Chr`6` : `111,794,409`	0.000	0.223	0.777
rs11751494 lBF = `31.4605` Chr`6` : `33,804,669`	0.777	0.223	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.776	0.224	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.774	0.226	0.000
rs2247056 lBF = `238.619` Chr`6` : `31,265,490`	0.774	0.226	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.772	0.228	0.000
rs3118357 lBF = `210.247` Chr`6` : `28,802,149`	0.770	0.230	0.000
rs59440261 lBF = `89.4301` Chr`6` : `31,371,071`	0.768	0.232	0.000
rs9267444 lBF = `182.421` Chr`6` : `31,483,458`	0.767	0.233	0.000
rs9501161 lBF = `6.70501` Chr`6` : `31,924,327`	0.000	0.233	0.767
rs3094122 lBF = `186.196` Chr`6` : `30,728,360`	0.766	0.234	0.000
rs4713467 lBF = `13.306` Chr`6` : `31,437,275`	0.766	0.234	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.765	0.235	0.000
rs28534808 lBF = `16.0989` Chr`6` : `32,633,855`	0.000	0.235	0.765
rs605203 lBF = `185.516` Chr`6` : `31,847,012`	0.765	0.235	0.000
rs28375404 lBF = `16.4264` Chr`6` : `32,614,917`	0.000	0.235	0.765
rs77015620 lBF = `18.4816` Chr`6` : `32,583,783`	0.000	0.236	0.764
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.764	0.236	0.000
rs75908454 lBF = `2.22788` Chr`6` : `169,970,623`	0.763	0.237	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.763	0.237	0.000
rs659445 lBF = `187.083` Chr`6` : `31,864,304`	0.763	0.237	0.000
rs41270488 lBF = `32.2739` Chr`6` : `32,407,906`	0.000	0.237	0.763
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.760	0.239	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.760	0.240	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.759	0.241	0.000
rs3130481 lBF = `107.187` Chr`6` : `31,839,756`	0.759	0.241	0.000
rs1233489 lBF = `226.669` Chr`6` : `29,463,043`	0.756	0.244	0.000
rs9267796 lBF = `16.2604` Chr`6` : `32,023,425`	0.754	0.246	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.754	0.246	0.000
rs3093988 lBF = `129.906` Chr`6` : `31,492,453`	0.753	0.247	0.000
rs1233480 lBF = `226.569` Chr`6` : `29,477,414`	0.753	0.247	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.752	0.248	0.000
rs660594 lBF = `129.166` Chr`6` : `31,837,250`	0.751	0.249	0.000
rs3131036 lBF = `180.885` Chr`6` : `30,728,290`	0.751	0.249	0.000
rs6908726 lBF = `198.546` Chr`6` : `28,671,343`	0.749	0.251	0.000
rs2746150 lBF = `227.263` Chr`6` : `29,442,701`	0.749	0.251	0.000
rs1233491 lBF = `226.91` Chr`6` : `29,461,730`	0.748	0.252	0.000
rs6911848 lBF = `125.052` Chr`6` : `33,075,259`	0.747	0.253	0.000
rs9257793 lBF = `196.605` Chr`6` : `29,335,154`	0.747	0.253	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.746	0.254	0.000
rs79449300 lBF = `14.3722` Chr`6` : `150,224,475`	0.746	0.254	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.745	0.255	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.743	0.257	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.742	0.257	0.000
rs57740770 lBF = `14.7225` Chr`6` : `32,067,435`	0.742	0.258	0.000
rs9267822 lBF = `25.4656` Chr`6` : `32,170,407`	0.741	0.259	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.740	0.260	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.740	0.260	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.738	0.262	0.000
rs3129791 lBF = `212.141` Chr`6` : `28,954,293`	0.738	0.262	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.737	0.263	0.000
rs1535039 lBF = `224.978` Chr`6` : `29,411,432`	0.737	0.263	0.000
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rs1264319 lBF = `221.853` Chr`6` : `30,862,423`	0.582	0.418	0.000
rs3134946 lBF = `101.407` Chr`6` : `32,145,993`	0.581	0.419	0.000
rs3134945 lBF = `100.753` Chr`6` : `32,146,492`	0.580	0.420	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.579	0.421	0.000
rs9268534 lBF = `250.564` Chr`6` : `32,383,307`	0.579	0.421	0.000
rs34441152 lBF = `19.4411` Chr`6` : `31,410,072`	0.579	0.421	0.000
rs4406273 lBF = `144.316` Chr`6` : `31,266,090`	0.577	0.423	0.000
rs3135372 lBF = `253.556` Chr`6` : `32,385,782`	0.577	0.423	0.000
rs3734543 lBF = `141.479` Chr`6` : `26,468,545`	0.576	0.424	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.575	0.425	0.000
rs3135366 lBF = `253.084` Chr`6` : `32,388,709`	0.573	0.427	0.000
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.573	0.427	0.000
rs116146467 lBF = `8.72874` Chr`6` : `169,558,013`	0.572	0.427	0.000
rs186361153 lBF = `1.3404` Chr`6` : `24,992,362`	0.572	0.428	0.000
rs13214791 lBF = `16.0998` Chr`6` : `31,322,762`	0.569	0.431	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.569	0.431	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.568	0.431	0.000
rs11752643 lBF = `13.3291` Chr`6` : `32,669,373`	0.000	0.432	0.568
rs3132965 lBF = `101.313` Chr`6` : `32,146,997`	0.567	0.433	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.566	0.433	0.000
rs3134947 lBF = `100.76` Chr`6` : `32,145,205`	0.566	0.434	0.000
rs3129975 lBF = `186.631` Chr`6` : `30,732,054`	0.566	0.434	0.000
rs9272276 lBF = `160.465` Chr`6` : `32,603,634`	0.565	0.435	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.564	0.436	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.564	0.436	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.564	0.436	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.564	0.436	0.000
rs853676 lBF = `134.782` Chr`6` : `28,299,687`	0.563	0.437	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.562	0.438	0.000
rs33932084 lBF = `193.061` Chr`6` : `28,268,824`	0.562	0.438	0.000
rs204999 lBF = `225.279` Chr`6` : `32,109,979`	0.561	0.439	0.000
rs6455 lBF = `1.58465` Chr`6` : `32,006,896`	0.000	0.439	0.561
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.560	0.439	0.000
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.560	0.440	0.000
rs2001097 lBF = `255.017` Chr`6` : `32,383,858`	0.560	0.440	0.000
rs660550 lBF = `128.87` Chr`6` : `31,837,277`	0.560	0.440	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.560	0.440	0.000
rs116269252 lBF = `19.828` Chr`6` : `31,326,790`	0.559	0.440	0.000
rs9468926 lBF = `53.762` Chr`6` : `31,260,218`	0.000	0.441	0.559
rs2395161 lBF = `254.328` Chr`6` : `32,387,752`	0.558	0.442	0.000
rs3135375 lBF = `252.934` Chr`6` : `32,385,573`	0.557	0.443	0.000
rs3131064 lBF = `278.586` Chr`6` : `30,763,893`	0.556	0.444	0.000
rs3135378 lBF = `254.2` Chr`6` : `32,385,099`	0.556	0.444	0.000
rs12189871 lBF = `142.293` Chr`6` : `31,251,924`	0.555	0.444	0.000
rs3135356 lBF = `253.703` Chr`6` : `32,391,516`	0.555	0.445	0.000
rs1480380 lBF = `75.3568` Chr`6` : `32,913,246`	0.555	0.445	0.000
rs6930933 lBF = `254.18` Chr`6` : `32,383,410`	0.554	0.446	0.000
rs116738814 lBF = `21.0352` Chr`6` : `31,326,566`	0.554	0.446	0.000
rs12215963 lBF = `20.8881` Chr`6` : `31,138,619`	0.554	0.446	0.000
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.554	0.446	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.553	0.447	0.000
rs3871248 lBF = `93.9006` Chr`6` : `31,145,991`	0.000	0.447	0.553
rs3135374 lBF = `253.889` Chr`6` : `32,385,605`	0.552	0.448	0.000
rs3135344 lBF = `280.03` Chr`6` : `32,395,036`	0.000	0.448	0.552
rs71563311 lBF = `20.1258` Chr`6` : `31,136,994`	0.551	0.448	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.551	0.449	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.551	0.449	0.000
rs67340775 lBF = `199.939` Chr`6` : `28,304,384`	0.550	0.449	0.000
rs33941312 lBF = `22.8037` Chr`6` : `31,084,191`	0.550	0.450	0.000
rs926552 lBF = `229.967` Chr`6` : `29,548,089`	0.550	0.450	0.000
rs1265181 lBF = `324.743` Chr`6` : `31,155,785`	0.550	0.450	0.000
rs13214487 lBF = `18.9923` Chr`6` : `31,322,706`	0.549	0.450	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.549	0.451	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.549	0.451	0.000
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	0.000	0.451	0.549
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.549	0.451	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	0.548	0.452	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.548	0.452	0.000
rs1233396 lBF = `230.713` Chr`6` : `29,546,799`	0.548	0.452	0.000
rs2523989 lBF = `221.533` Chr`6` : `30,078,275`	0.547	0.453	0.000
rs885912 lBF = `179.285` Chr`6` : `30,174,633`	0.547	0.453	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.547	0.453	0.000
rs3828840 lBF = `272.834` Chr`6` : `32,520,907`	0.546	0.454	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.546	0.454	0.000
rs3130284 lBF = `104.467` Chr`6` : `32,140,487`	0.546	0.454	0.000
rs9380069 lBF = `143.573` Chr`6` : `28,203,300`	0.545	0.455	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.545	0.455	0.000
rs2517490 lBF = `21.5202` Chr`6` : `31,038,756`	0.545	0.455	0.000
rs2022083 lBF = `228.09` Chr`6` : `30,213,540`	0.544	0.456	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.544	0.456	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.544	0.456	0.000
rs9393909 lBF = `112.742` Chr`6` : `28,207,200`	0.544	0.456	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.544	0.456	0.000
rs41293883 lBF = `81.8257` Chr`6` : `31,474,820`	0.541	0.459	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.540	0.460	0.000
rs675531 lBF = `0.366907` Chr`6` : `128,040,839`	0.000	0.460	0.540
rs2844657 lBF = `213.204` Chr`6` : `30,829,522`	0.539	0.461	0.000
rs36055487 lBF = `21.1592` Chr`6` : `31,327,481`	0.539	0.461	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.539	0.461	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.538	0.462	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	0.538	0.462	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.5640

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.0897

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

1.0000

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

1.0000

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

1.0000

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

1.0000

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

1.0000

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

1.0000

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

1.0000

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

1.0000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

1.0000

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

1.0000

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

1.0000

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

1.0000

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

1.0000

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

1.0000

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

1.0000

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

1.0000

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9999

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9999

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9999

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9998

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9994

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9994

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9993

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9991

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9990

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9987

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9987

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9985

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9982

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9981

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9976

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9974

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9968

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9959

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9957

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9957

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.9949

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9943

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9939

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9936

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9931

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9914

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9913

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9907

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9900

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9898

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9879

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9859

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9853

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9847

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9824

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9822

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9814

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9809

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9804

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9789

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9782

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9769

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9741

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9716

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9710

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9696

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9689

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9633

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9587

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9581

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9572

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9570

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9562

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9542

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9535

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9518

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9465

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9438

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9435

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9389

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9275

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9218

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9211

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9200

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9116

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9102

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9062

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9060

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8915

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8884

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8856

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8854

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8799

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8714

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8712

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8582

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8489

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.8484

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8480

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8369

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8361

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8228

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8161

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8123

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7898

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7896

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7562

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7548

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7362

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7126

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7117

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7044

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6928

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6764

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6418

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6363

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6262

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6250

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6103

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6056

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5874

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5759

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5759

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5433

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.5335

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5100

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5045

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4886

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4874

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4687

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4663

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4574

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4305

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4301

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4256

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3731

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2997

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2987

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2478

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2371

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2329

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2308

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2200

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2107

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1871

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1832

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1732

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1698

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1686

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1083

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0905

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0895

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0887

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0791

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0702

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0596

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0536

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0533

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

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

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

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)