TreeWAS – [C76] Malignant neoplasm of other and ill-defined sites

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

C76

Malignant neoplasm of other and ill-defined sites

Parent term	C76-C80 Malignant neoplasms of ill-defined, secondary and unspecified sites
Nested terms	C76.0 Head, face and neck C76.1 Thorax C76.2 Abdomen C76.3 Pelvis C76.4 Upper limb C76.5 Lower limb C76.7 Other ill-defined sites C76.8 Overlapping lesion of other and ill-defined sites

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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
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.770	0.230	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.752	0.247	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.749	0.251	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.742	0.258	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.723	0.277	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.717	0.283	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.717	0.283	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.717	0.283	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.717	0.283	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.717	0.283	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.716	0.284	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.716	0.284	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.715	0.285	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.715	0.285	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.715	0.285	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.714	0.286	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.713	0.287	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.713	0.287	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.713	0.287	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.712	0.288	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.709	0.291	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.708	0.291	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.708	0.292	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.707	0.293	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.705	0.295	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.703	0.297	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.700	0.300	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.695	0.305	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.695	0.305	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.689	0.311	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.688	0.311	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.686	0.313	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.686	0.314	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.676	0.324	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.675	0.325	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.662	0.337	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.657	0.343	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.647	0.353	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.633	0.367	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.627	0.373	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.620	0.380	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.617	0.383	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.615	0.385	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.608	0.392	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.607	0.393	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.603	0.397	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.600	0.400	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.593	0.407	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.578	0.422	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.576	0.424	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.560	0.440	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.557	0.443	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.554	0.446	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.540	0.459	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.537	0.463	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.536	0.464	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.535	0.465	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.533	0.467	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.525	0.475	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.511	0.489	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.510	0.490	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.504	0.496	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.500	0.500	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.500	0.500	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.496	0.504	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.495	0.504	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.491	0.509	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.487	0.513	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.479	0.520	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.478	0.522	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.473	0.527	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.000	0.536	0.464
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.452	0.548	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.444	0.556	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.437	0.563	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.430	0.570	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.422	0.578	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.420	0.579	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.002	0.592	0.406
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.407	0.593	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.403	0.597	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.382	0.618	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.379	0.621	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.374	0.626	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.373	0.626	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.372	0.628	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.364	0.636	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.358	0.642	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.352	0.648	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.340	0.660	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.339	0.661	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.337	0.662	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.331	0.669	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.324	0.676	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.314	0.686	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.305	0.695	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.303	0.697	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.297	0.703	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.280	0.720	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.280	0.720	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.275	0.725	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.270	0.729	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.264	0.735	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.254	0.746	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.000	0.746	0.253
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.250	0.750	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.247	0.753	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.244	0.756	0.000
rs12444931 lBF = `1.20963` Chr`16` : `7,753,704`	0.235	0.765	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.220	0.779	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.206	0.794	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.198	0.802	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.174	0.826	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.172	0.828	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.170	0.830	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.158	0.842	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.150	0.849	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.146	0.854	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.140	0.859	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.120	0.879	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.118	0.882	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.111	0.888	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.105	0.895	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.094	0.906	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.094	0.906	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.090	0.909	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.044	0.916	0.040
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.081	0.919	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.081	0.919	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.078	0.921	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.076	0.924	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.074	0.926	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.072	0.928	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.067	0.933	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.061	0.939	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.060	0.940	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.057	0.943	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.055	0.943	0.001
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.052	0.946	0.002
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.052	0.946	0.002
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.051	0.947	0.001
rs2244613 lBF = `0.167206` Chr`16` : `55,844,609`	0.052	0.948	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.051	0.949	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.049	0.949	0.002
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.050	0.950	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.050	0.950	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.046	0.952	0.002
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.048	0.952	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.044	0.952	0.004
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.047	0.953	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.046	0.954	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.046	0.954	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.040	0.956	0.005
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.044	0.956	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.001	0.958	0.041
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.041	0.958	0.001
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.040	0.959	0.001
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.022	0.960	0.018
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.038	0.962	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.036	0.963	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.036	0.964	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.036	0.964	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.034	0.966	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.033	0.966	0.001
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.033	0.966	0.002
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.032	0.967	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.032	0.968	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.029	0.971	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.028	0.972	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.028	0.972	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.026	0.974	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.025	0.975	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.021	0.975	0.004
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.024	0.976	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.024	0.976	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.024	0.976	0.000
rs12927205 lBF = `0.0509957` Chr`16` : `72,025,077`	0.000	0.977	0.023
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.023	0.977	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.022	0.978	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.022	0.978	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	0.980	0.020
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.020	0.980	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.018	0.981	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.018	0.982	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.017	0.982	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.017	0.983	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.015	0.984	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.014	0.985	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.011	0.985	0.003
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.014	0.986	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.012	0.988	0.000
rs1948632 lBF = `-0.084387` Chr`16` : `75,991,446`	0.000	0.988	0.012
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.011	0.989	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.011	0.989	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.009	0.991	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	0.991	0.009
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rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs2962462 lBF = `-0.0698373` Chr`16` : `62,798,852`	0.000	1.000	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.000	1.000	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	1.000	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	1.000	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.000	1.000	0.000
rs2047937 lBF = `0.174104` Chr`16` : `49,864,791`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.000	1.000	0.000
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.000	1.000	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	1.000	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	1.000	0.000
rs12446492 lBF = `6.16364` Chr`16` : `20,408,377`	0.000	1.000	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	1.000	0.000
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.000	1.000	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	1.000	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	0.000	1.000	0.000
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.000	1.000	0.000
rs9940464 lBF = `-0.123422` Chr`16` : `83,360,775`	0.000	1.000	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	1.000	0.000
rs3813579 lBF = `2.92185` Chr`16` : `79,749,276`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	1.000	0.000
rs10514550 lBF = `0.0287587` Chr`16` : `82,703,845`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.000	1.000	0.000
rs12444261 lBF = `-0.0772295` Chr`16` : `11,734,642`	0.000	1.000	0.000
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.000	1.000	0.000
rs2307022 lBF = `0.14837` Chr`16` : `68,381,978`	0.000	1.000	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.000	1.000	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	1.000	0.000
rs7404928 lBF = `0.00128759` Chr`16` : `23,888,840`	0.000	1.000	0.000
rs12709013 lBF = `-0.0457289` Chr`16` : `58,829,790`	0.000	1.000	0.000
rs2444217 lBF = `-0.0820759` Chr`16` : `4,038,387`	0.000	1.000	0.000
rs4783860 lBF = `-0.10313` Chr`16` : `55,005,321`	0.000	1.000	0.000
rs3136202 lBF = `-0.121136` Chr`16` : `14,038,174`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.000	1.000	0.000
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs11647507 lBF = `0.0543866` Chr`16` : `20,095,628`	0.000	1.000	0.000
rs10521115 lBF = `0.049886` Chr`16` : `20,090,645`	0.000	1.000	0.000
rs11642377 lBF = `0.0413304` Chr`16` : `20,109,653`	0.000	1.000	0.000
rs12924103 lBF = `0.0410934` Chr`16` : `20,094,546`	0.000	1.000	0.000
rs10521114 lBF = `0.0406485` Chr`16` : `20,089,754`	0.000	1.000	0.000
rs7201408 lBF = `0.0256906` Chr`16` : `20,094,054`	0.000	1.000	0.000
rs7185264 lBF = `0.0232121` Chr`16` : `20,094,886`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs12919130 lBF = `-0.0200803` Chr`16` : `20,126,974`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	1.000	0.000
rs1364247 lBF = `-0.0509886` Chr`16` : `82,477,314`	0.000	1.000	0.000
rs7188801 lBF = `-0.0564031` Chr`16` : `86,707,769`	0.000	1.000	0.000
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.000	1.000	0.000
rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	1.000	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.000	1.000	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	1.000	0.000
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.000	1.000	0.000
rs249954 lBF = `0.435359` Chr`16` : `23,640,467`	0.000	1.000	0.000
rs2326458 lBF = `0.0517866` Chr`16` : `84,987,679`	0.000	1.000	0.000
rs12926729 lBF = `0.0441419` Chr`16` : `20,100,370`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs1362756 lBF = `0.00864515` Chr`16` : `51,458,290`	0.000	1.000	0.000
rs3743832 lBF = `0.00130723` Chr`16` : `9,213,880`	0.000	1.000	0.000
rs4781011 lBF = `-0.0201332` Chr`16` : `10,975,311`	0.000	1.000	0.000
rs11647589 lBF = `-0.0210411` Chr`16` : `20,449,616`	0.000	1.000	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.000	1.000	0.000
rs2288059 lBF = `-0.0247894` Chr`16` : `76,170,096`	0.000	1.000	0.000
rs8192935 lBF = `-0.0293905` Chr`16` : `55,861,794`	0.000	1.000	0.000
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.000	1.000	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	1.000	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	1.000	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.000	1.000	0.000
rs4783244 lBF = `-0.0832544` Chr`16` : `82,662,268`	0.000	1.000	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.000	1.000	0.000
rs11641184 lBF = `0.49443` Chr`16` : `11,704,651`	0.000	1.000	0.000
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs28810 lBF = `0.00524551` Chr`16` : `3,500,515`	0.000	1.000	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	1.000	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.000	1.000	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.000	1.000	0.000
rs2733954 lBF = `-0.0724173` Chr`16` : `85,836,256`	0.000	1.000	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

0.7169

Cluster X0097

log Bayes Factor = 96.1227

contains 10 variants

0.6222

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5450

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1365

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9980

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9845

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.9698

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9526

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9323

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9284

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9271

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9247

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9236

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9066

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9004

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8808

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8513

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8205

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8175

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.8173

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8135

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.8007

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7969

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7969

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7967

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7817

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7800

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7760

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7758

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7663

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.7627

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7169

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7169

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7169

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7169

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7169

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7169

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7169

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7169

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7169

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7169

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7169

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7169

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7169

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7169

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7169

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7169

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7167

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7166

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7164

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7163

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7156

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7152

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7140

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7134

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7116

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7095

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7092

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7036

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7000

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6985

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6984

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6933

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6911

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6810

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6779

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6290

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6220

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6055

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5865

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5847

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5796

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5752

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4693

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4407

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4223

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4177

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4167

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3986

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3947

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3946

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3870

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3868

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.3690

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3617

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3556

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3537

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3448

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3404

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3271

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3241

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3236

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3133

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3063

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3000

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2942

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2762

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2706

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2518

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2450

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2429

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2324

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2318

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2289

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1993

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1962

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1675

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1660

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1470

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1458

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1391

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1333

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1265

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1263

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1231

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1126

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1123

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1075

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1029

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1010

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0970

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0967

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0966

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0921

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0895

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0861

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0821

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0810

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0788

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0747

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0736

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0730

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0685

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0683

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0672

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0668

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0633

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0616

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0614

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0604

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0563

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0550

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0507

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`)