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
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.802	0.198	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.793	0.207	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.785	0.215	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.749	0.251	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.743	0.257	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.719	0.281	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.717	0.283	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.717	0.283	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.717	0.283	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.717	0.283	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.717	0.283	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.717	0.283	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.717	0.283	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.717	0.283	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.717	0.283	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.717	0.283	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.716	0.283	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.716	0.284	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.716	0.284	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.716	0.284	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.716	0.284	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.716	0.284	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.715	0.285	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.714	0.286	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.714	0.286	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.713	0.287	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.712	0.288	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.711	0.289	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.710	0.290	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.710	0.290	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.709	0.290	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.709	0.291	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.708	0.291	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.708	0.292	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.707	0.293	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.705	0.294	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.705	0.295	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.704	0.296	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.702	0.298	0.000
rs10232170 lBF = `7.08309` Chr`7` : `34,181,522`	0.700	0.300	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.700	0.300	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.697	0.302	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.697	0.302	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.697	0.303	0.000
rs2280655 lBF = `1.74301` Chr`7` : `16,837,454`	0.693	0.307	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.692	0.308	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.689	0.311	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.687	0.313	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.686	0.313	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.001	0.315	0.684
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.680	0.320	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.679	0.321	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.675	0.325	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.673	0.326	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.666	0.333	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.666	0.333	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.666	0.334	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.003	0.342	0.655
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.658	0.342	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.657	0.343	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.656	0.344	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.654	0.345	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.649	0.351	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.647	0.353	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.644	0.356	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.643	0.356	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.643	0.357	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.642	0.357	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.640	0.360	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.632	0.368	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.619	0.381	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.616	0.384	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.614	0.386	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.613	0.387	0.000
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.612	0.387	0.000
rs17598306 lBF = `1.87896` Chr`7` : `96,581,811`	0.000	0.389	0.611
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.603	0.397	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.600	0.400	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.597	0.402	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.588	0.411	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.587	0.413	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.580	0.419	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.575	0.425	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.570	0.429	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.569	0.431	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.552	0.448	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.000	0.451	0.549
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.547	0.452	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.545	0.455	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.533	0.467	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.526	0.474	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.520	0.479	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.513	0.487	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.507	0.493	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.504	0.495	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.489	0.511	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.488	0.512	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.478	0.522	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.000	0.525	0.474
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.474	0.526	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.468	0.532	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.449	0.551	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.445	0.554	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.442	0.558	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.003	0.570	0.426
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.429	0.571	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.425	0.575	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.422	0.578	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.419	0.580	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.415	0.585	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.403	0.597	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.402	0.598	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.397	0.603	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.384	0.616	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.383	0.617	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.375	0.625	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.358	0.641	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.351	0.649	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.341	0.659	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.340	0.660	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.337	0.663	0.000
rs10261878 lBF = `0.737336` Chr`7` : `25,950,545`	0.000	0.667	0.333
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.326	0.674	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.320	0.680	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.310	0.690	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.302	0.698	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.298	0.702	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.296	0.703	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.286	0.714	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.285	0.715	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.282	0.718	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.281	0.719	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.276	0.724	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.275	0.724	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.273	0.727	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.271	0.728	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.263	0.737	0.000
rs961725 lBF = `5.54368` Chr`7` : `27,658,070`	0.262	0.738	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.247	0.753	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.244	0.756	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.243	0.757	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.240	0.760	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.218	0.782	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.201	0.799	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.191	0.809	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.191	0.809	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.183	0.816	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.182	0.817	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.167	0.832	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.163	0.836	0.001
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.163	0.837	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.163	0.837	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.161	0.839	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.159	0.841	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.155	0.844	0.001
rs6978712 lBF = `0.173781` Chr`7` : `127,147,763`	0.154	0.846	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.133	0.867	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.130	0.869	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.128	0.872	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.125	0.875	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.124	0.876	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.124	0.876	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.122	0.878	0.000
rs10242311 lBF = `0.612817` Chr`7` : `105,273,720`	0.121	0.878	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.121	0.879	0.001
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.115	0.885	0.000
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.108	0.892	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.105	0.895	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.102	0.898	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.100	0.900	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.093	0.907	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.092	0.908	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.088	0.912	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.081	0.919	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.079	0.921	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.078	0.922	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.078	0.922	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.077	0.922	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.073	0.927	0.000
rs2110483 lBF = `0.0581393` Chr`7` : `93,880,093`	0.065	0.935	0.000
rs148490894 lBF = `0.101087` Chr`7` : `99,531,755`	0.062	0.937	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.062	0.938	0.000
rs1499614 lBF = `0.0885592` Chr`7` : `65,730,798`	0.061	0.939	0.000
rs12703441 lBF = `0.260006` Chr`7` : `141,892,707`	0.000	0.942	0.058
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.057	0.942	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.057	0.943	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.045	0.943	0.012
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.056	0.944	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.055	0.944	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.055	0.945	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.055	0.945	0.000
rs7778619 lBF = `0.0660861` Chr`7` : `10,149,976`	0.053	0.947	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.051	0.949	0.000
rs16879765 lBF = `33.0922` Chr`7` : `37,989,095`	0.047	0.953	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.045	0.955	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.043	0.957	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.042	0.957	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.959	0.041
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rs6973392 lBF = `0` Chr`7` : `89,060,733`	0.001	0.999	0.001
rs182858794 lBF = `0` Chr`7` : `93,981,552`	0.001	0.999	0.001
rs191729664 lBF = `0` Chr`7` : `125,652,599`	0.001	0.999	0.001
rs886448 lBF = `0` Chr`7` : `24,240,165`	0.001	0.999	0.001
rs188061594 lBF = `0` Chr`7` : `151,729,217`	0.001	0.999	0.001
rs115744676 lBF = `0` Chr`7` : `94,061,404`	0.001	0.999	0.001
rs114004118 lBF = `0` Chr`7` : `151,742,102`	0.001	0.999	0.001
rs138896312 lBF = `0` Chr`7` : `53,900,123`	0.001	0.999	0.001
rs185205268 lBF = `0` Chr`7` : `144,075,117`	0.001	0.999	0.001
rs74629737 lBF = `0` Chr`7` : `34,093,454`	0.001	0.999	0.001
rs182033693 lBF = `0` Chr`7` : `70,622,427`	0.001	0.999	0.001
rs148376973 lBF = `0` Chr`7` : `151,739,270`	0.001	0.999	0.001
rs16882396 lBF = `0` Chr`7` : `140,888,321`	0.001	0.999	0.001
rs10266254 lBF = `0` Chr`7` : `89,763,864`	0.001	0.999	0.001
rs191698899 lBF = `0` Chr`7` : `94,015,730`	0.001	0.999	0.001
rs185746565 lBF = `0` Chr`7` : `135,260,049`	0.001	0.999	0.001
rs181328644 lBF = `0` Chr`7` : `34,899,414`	0.001	0.999	0.001
rs149774937 lBF = `0` Chr`7` : `151,737,020`	0.001	0.999	0.001
rs139110493 lBF = `0` Chr`7` : `75,209,951`	0.001	0.999	0.001
rs12666870 lBF = `0` Chr`7` : `78,158,472`	0.001	0.999	0.001
rs60839105 lBF = `-0.00002822` Chr`7` : `80,492,357`	0.001	0.999	0.000
rs10269783 lBF = `-0.0551643` Chr`7` : `49,616,203`	0.001	0.999	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.001	0.999	0.000
rs10274759 lBF = `0.00139421` Chr`7` : `114,914,608`	0.001	0.999	0.000
rs430 lBF = `-0.00015733` Chr`7` : `19,106,539`	0.001	0.999	0.000
rs12706411 lBF = `-0.0206784` Chr`7` : `122,065,219`	0.000	0.999	0.001
rs17167307 lBF = `-0.00079451` Chr`7` : `13,683,763`	0.001	0.999	0.000
rs117982730 lBF = `-0.0065703` Chr`7` : `125,896,748`	0.001	0.999	0.000
rs17167170 lBF = `0.0752416` Chr`7` : `133,302,345`	0.001	0.999	0.000
rs12702919 lBF = `-0.0822542` Chr`7` : `9,550,572`	0.000	0.999	0.001
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.999	0.001
rs4732038 lBF = `-0.0584683` Chr`7` : `134,250,322`	0.000	0.999	0.001
rs57375391 lBF = `0.0830581` Chr`7` : `22,704,626`	0.001	0.999	0.000
rs314313 lBF = `-0.104433` Chr`7` : `100,423,365`	0.001	0.999	0.000
rs11763353 lBF = `0.0891276` Chr`7` : `15,630,871`	0.001	0.999	0.000
rs215738 lBF = `-0.0212849` Chr`7` : `32,444,435`	0.000	0.999	0.001
rs10255299 lBF = `-0.016499` Chr`7` : `111,527,560`	0.000	0.999	0.001
rs79215950 lBF = `8.20907` Chr`7` : `35,277,067`	0.001	0.999	0.000
rs11974702 lBF = `0.312229` Chr`7` : `99,163,951`	0.001	0.999	0.000
rs700752 lBF = `-0.0409218` Chr`7` : `46,753,553`	0.001	0.999	0.000
rs10239506 lBF = `-0.0488135` Chr`7` : `32,216,893`	0.001	0.999	0.000
rs79835348 lBF = `0.0004048` Chr`7` : `28,475,255`	0.001	0.999	0.000
rs500454 lBF = `0.00039349` Chr`7` : `80,799,834`	0.001	0.999	0.000
rs1403155 lBF = `-0.00674804` Chr`7` : `68,050,413`	0.000	0.999	0.001
rs2215614 lBF = `7.56312` Chr`7` : `35,277,093`	0.001	0.999	0.000
rs2968864 lBF = `0.20783` Chr`7` : `150,622,162`	0.000	0.999	0.001
rs4730250 lBF = `-0.0424327` Chr`7` : `107,207,695`	0.001	0.999	0.000
rs73099187 lBF = `9.66779` Chr`7` : `35,291,491`	0.001	0.999	0.000
rs71534169 lBF = `0.0553682` Chr`7` : `154,592,866`	0.001	0.999	0.000
rs11761528 lBF = `0.29097` Chr`7` : `99,118,801`	0.001	0.999	0.000
rs60464047 lBF = `0.113646` Chr`7` : `39,418,538`	0.001	0.999	0.000
rs1918526 lBF = `0.00242736` Chr`7` : `115,138,008`	0.001	0.999	0.000
rs3779195 lBF = `-0.0196346` Chr`7` : `97,993,362`	0.001	0.999	0.000
rs700750 lBF = `-0.0310682` Chr`7` : `46,753,491`	0.001	0.999	0.000
rs2237436 lBF = `-0.093418` Chr`7` : `41,730,931`	0.000	0.999	0.001
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.001	0.999	0.000
rs7809615 lBF = `0.315856` Chr`7` : `99,184,778`	0.001	0.999	0.000
rs11771429 lBF = `-0.0353625` Chr`7` : `153,271,877`	0.001	0.999	0.000
rs10952890 lBF = `0.2076` Chr`7` : `86,355,215`	0.000	0.999	0.001
rs73077895 lBF = `0.0333869` Chr`7` : `28,819,842`	0.001	0.999	0.000
rs1636744 lBF = `0.209488` Chr`7` : `16,984,280`	0.001	0.999	0.000
rs1997243 lBF = `0.0142772` Chr`7` : `1,083,777`	0.001	0.999	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.000	0.999	0.000
rs2299116 lBF = `0.238041` Chr`7` : `28,815,239`	0.001	0.999	0.000
rs2968863 lBF = `0.217834` Chr`7` : `150,623,137`	0.000	0.999	0.001
rs11574703 lBF = `0.0394684` Chr`7` : `80,286,908`	0.000	0.999	0.001
rs62496419 lBF = `0.00715181` Chr`7` : `96,979,659`	0.000	0.999	0.000
rs6951245 lBF = `-0.0165218` Chr`7` : `1,058,193`	0.001	0.999	0.000
rs76405237 lBF = `-0.0233632` Chr`7` : `140,970,819`	0.000	0.999	0.000
rs73405966 lBF = `1.11508` Chr`7` : `101,675,299`	0.000	0.999	0.000
rs116884796 lBF = `0.0552319` Chr`7` : `13,054,194`	0.000	0.999	0.000
rs1294908 lBF = `-0.050908` Chr`7` : `45,235,120`	0.000	0.999	0.001
rs58896911 lBF = `10.2837` Chr`7` : `28,639,955`	0.001	0.999	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.000	0.999	0.000
rs2190016 lBF = `0.274511` Chr`7` : `46,944,807`	0.000	0.999	0.001
rs4729260 lBF = `0.249851` Chr`7` : `96,117,918`	0.001	0.999	0.000
rs579090 lBF = `0.156443` Chr`7` : `54,796,452`	0.000	0.999	0.000
rs3815148 lBF = `0.105305` Chr`7` : `106,938,420`	0.001	0.999	0.000
rs73157010 lBF = `-0.0169849` Chr`7` : `136,396,861`	0.001	0.999	0.000
rs142422697 lBF = `0.119597` Chr`7` : `49,965,291`	0.000	0.999	0.000
rs2877098 lBF = `-0.0409018` Chr`7` : `41,743,294`	0.000	0.999	0.001
rs2538958 lBF = `0.0169652` Chr`7` : `147,615,640`	0.000	0.999	0.001
rs73082373 lBF = `0.00982802` Chr`7` : `22,994,186`	0.000	0.999	0.000
rs151156903 lBF = `-0.0225601` Chr`7` : `136,366,355`	0.000	0.999	0.000
rs1127065 lBF = `-0.036041` Chr`7` : `44,259,871`	0.000	0.999	0.001
rs1357978 lBF = `-0.0914739` Chr`7` : `13,560,221`	0.001	0.999	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.000	0.999	0.000
rs13227425 lBF = `-0.0857354` Chr`7` : `13,554,008`	0.001	0.999	0.000
rs2854536 lBF = `-0.0948715` Chr`7` : `142,274,854`	0.000	0.999	0.000
rs2048672 lBF = `-0.0967313` Chr`7` : `130,653,851`	0.001	0.999	0.000
rs7777754 lBF = `-0.0714077` Chr`7` : `50,666,033`	0.001	0.999	0.000
rs6974574 lBF = `5.6247` Chr`7` : `38,110,073`	0.000	0.999	0.000
rs6959212 lBF = `5.49264` Chr`7` : `38,128,326`	0.000	0.999	0.001
rs1524068 lBF = `5.40098` Chr`7` : `38,110,626`	0.000	0.999	0.000
rs4727338 lBF = `0.165558` Chr`7` : `96,120,675`	0.001	0.999	0.000
rs73157032 lBF = `-0.0196123` Chr`7` : `136,428,681`	0.000	0.999	0.000
rs17436410 lBF = `-0.0207723` Chr`7` : `26,994,167`	0.001	0.999	0.000
rs4236644 lBF = `-0.0537881` Chr`7` : `80,599,357`	0.001	0.999	0.000
rs10273639 lBF = `-0.0754004` Chr`7` : `142,456,928`	0.000	0.999	0.001
rs7782376 lBF = `1.74258` Chr`7` : `116,577,124`	0.000	0.999	0.000
rs3757840 lBF = `0.10859` Chr`7` : `44,231,216`	0.000	0.999	0.000
rs7806994 lBF = `-0.0102542` Chr`7` : `56,139,505`	0.001	0.999	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 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 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 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`)