TreeWAS – [C80.0] Malignant neoplasm, primary site unknown, so stated

Variant effects

Click on a variant to see its association results.

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

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.787	0.213	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.751	0.249	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.744	0.256	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.730	0.270	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.691	0.309	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.678	0.322	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.677	0.323	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.665	0.335	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.661	0.339	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.623	0.376	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.615	0.385	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.613	0.387	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.604	0.396	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.581	0.418	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.578	0.421	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.569	0.431	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.569	0.431	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.555	0.445	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.539	0.461	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.536	0.464	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.531	0.468	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.523	0.477	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.521	0.479	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.505	0.494	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.499	0.501	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.484	0.516	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.469	0.530	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.458	0.542	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.458	0.542	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.453	0.546	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.445	0.555	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.442	0.558	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.440	0.560	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.438	0.562	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.435	0.565	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.435	0.565	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.432	0.568	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.425	0.575	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.416	0.583	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.411	0.588	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.409	0.591	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.409	0.591	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.001	0.592	0.407
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.407	0.593	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.405	0.594	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.403	0.597	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.387	0.613	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.386	0.614	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.385	0.615	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.366	0.634	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.365	0.635	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.361	0.638	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.360	0.640	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.359	0.641	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.359	0.641	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.350	0.650	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.349	0.651	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.349	0.651	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.000	0.654	0.346
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.332	0.668	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.330	0.669	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.325	0.675	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.324	0.676	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.322	0.677	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.320	0.680	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.316	0.683	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.315	0.685	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.305	0.695	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.296	0.704	0.001
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.295	0.705	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.294	0.706	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.293	0.707	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.291	0.709	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.288	0.712	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.287	0.712	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.287	0.713	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.284	0.716	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.274	0.726	0.001
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.272	0.728	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.271	0.729	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.269	0.731	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.268	0.732	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.261	0.738	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.255	0.745	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.252	0.747	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.212	0.788	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.210	0.790	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.201	0.799	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.198	0.802	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.195	0.804	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.189	0.811	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.000	0.811	0.188
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.184	0.816	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.182	0.818	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.177	0.823	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.161	0.838	0.000
rs12444931 lBF = `1.20963` Chr`16` : `7,753,704`	0.158	0.841	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.157	0.842	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.156	0.844	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.148	0.852	0.001
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.148	0.852	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.142	0.857	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.142	0.858	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.134	0.865	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.131	0.868	0.001
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.125	0.875	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.119	0.881	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.114	0.886	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.113	0.886	0.001
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.105	0.895	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.104	0.896	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.101	0.899	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.096	0.902	0.002
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.085	0.915	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.083	0.917	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.080	0.920	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.079	0.920	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.079	0.921	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.072	0.924	0.003
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.071	0.927	0.002
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.071	0.929	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.069	0.930	0.001
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.064	0.936	0.000
rs2244613 lBF = `0.167206` Chr`16` : `55,844,609`	0.063	0.937	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.060	0.939	0.001
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.060	0.940	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.056	0.943	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.056	0.944	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.009	0.944	0.047
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.055	0.945	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.053	0.946	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.052	0.948	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.039	0.959	0.002
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.038	0.962	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.038	0.962	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.038	0.962	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.036	0.964	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.034	0.965	0.001
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.034	0.966	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.032	0.968	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.031	0.969	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.001	0.970	0.030
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.029	0.970	0.001
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.029	0.971	0.001
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.028	0.972	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.028	0.972	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.027	0.973	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.025	0.975	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.004	0.976	0.020
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.022	0.976	0.002
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.021	0.977	0.002
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.023	0.977	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.022	0.977	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.019	0.979	0.002
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.020	0.979	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.020	0.979	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.020	0.980	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.019	0.981	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.015	0.981	0.004
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.014	0.982	0.004
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.015	0.982	0.003
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	0.982	0.018
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.017	0.982	0.001
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.014	0.983	0.003
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.016	0.983	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.014	0.984	0.002
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.015	0.984	0.000
rs12927205 lBF = `0.0509957` Chr`16` : `72,025,077`	0.000	0.984	0.016
rs1948632 lBF = `-0.084387` Chr`16` : `75,991,446`	0.000	0.984	0.016
rs1035560 lBF = `0.00137358` Chr`16` : `72,032,730`	0.015	0.985	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.015	0.985	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.014	0.985	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.014	0.986	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.013	0.986	0.001
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.013	0.987	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.011	0.987	0.002
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.012	0.988	0.001
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	0.988	0.012
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.011	0.988	0.001
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	0.988	0.012
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.011	0.989	0.001
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.011	0.989	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.010	0.989	0.001
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.010	0.989	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.008	0.989	0.002
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.010	0.990	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.010	0.990	0.000
rs12597458 lBF = `-0.0663606` Chr`16` : `72,030,970`	0.000	0.990	0.010
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.000	0.990	0.010
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	0.990	0.010
rs9934935 lBF = `0.0391536` Chr`16` : `82,704,528`	0.000	0.991	0.009
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.009	0.991	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.009	0.991	0.000
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.000	0.992	0.008
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.007	0.992	0.001
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.002	0.993	0.006
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.007	0.993	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.006	0.993	0.001
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.006	0.993	0.001
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.000	0.993	0.006
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	0.993	0.007
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.006	0.994	0.000
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rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	0.999	0.001
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.001	0.999	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.000	0.999	0.001
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.001	0.999	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.001	0.999	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.001	0.999	0.000
rs500492 lBF = `0.00241029` Chr`16` : `1,050,877`	0.001	0.999	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.000	0.999	0.001
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.000	0.999	0.001
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.001	0.999	0.000
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.000	0.999	0.001
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.000
rs6498482 lBF = `-0.076711` Chr`16` : `13,987,719`	0.001	0.999	0.000
rs4083242 lBF = `-0.0786122` Chr`16` : `86,368,526`	0.001	0.999	0.000
rs77303550 lBF = `2.9817` Chr`16` : `72,079,657`	0.000	0.999	0.001
rs529866 lBF = `0.0630112` Chr`16` : `11,373,320`	0.001	0.999	0.000
rs12149074 lBF = `0.0293647` Chr`16` : `80,105,866`	0.000	0.999	0.001
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.001	0.999	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	0.999	0.001
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.001	0.999	0.000
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.001	0.999	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.000	0.999	0.001
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.000	0.999	0.001
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.000	0.999	0.001
rs217181 lBF = `2.51811` Chr`16` : `72,114,002`	0.000	0.999	0.001
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.999	0.001
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.000	0.999	0.001
rs8056064 lBF = `0.00130499` Chr`16` : `82,787,053`	0.001	0.999	0.000
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.001	0.999	0.000
rs17281813 lBF = `0.294971` Chr`16` : `49,750,790`	0.000	0.999	0.001
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	0.999	0.001
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	0.999	0.001
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.001	0.999	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	0.999	0.001
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.001	0.999	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.001	0.999	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.001	0.999	0.000
rs4784934 lBF = `0.0912296` Chr`16` : `58,459,926`	0.000	0.999	0.001
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.001	0.999	0.000
rs2041733 lBF = `-0.0453516` Chr`16` : `11,229,589`	0.001	0.999	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.001	0.999	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.000	0.999	0.001
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	0.999	0.001
rs7190997 lBF = `0.0229797` Chr`16` : `31,368,178`	0.000	0.999	0.001
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	0.999	0.001
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.001
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	0.999	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	0.999	0.001
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	0.999	0.001
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	0.999	0.001
rs5817082 lBF = `0.00299668` Chr`16` : `56,997,349`	0.000	0.999	0.001
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.001	0.999	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	0.999	0.001
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	0.999	0.000
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.001	0.999	0.000
rs10521115 lBF = `0.049886` Chr`16` : `20,090,645`	0.001	0.999	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.999	0.000
rs7405404 lBF = `-0.0111953` Chr`16` : `13,749,859`	0.000	0.999	0.001
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	0.999	0.001
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	0.999	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.001	0.999	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	0.999	0.001
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.001	0.999	0.000
rs11642377 lBF = `0.0413304` Chr`16` : `20,109,653`	0.001	0.999	0.000
rs12924103 lBF = `0.0410934` Chr`16` : `20,094,546`	0.001	0.999	0.000
rs10521114 lBF = `0.0406485` Chr`16` : `20,089,754`	0.001	0.999	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.001	0.999	0.000
rs12691307 lBF = `0.0239576` Chr`16` : `29,939,877`	0.001	0.999	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.001	0.999	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	0.999	0.001
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.000	0.999	0.001
rs870288 lBF = `-0.0775093` Chr`16` : `5,585,852`	0.001	0.999	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.000	0.999	0.001
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.000	0.999	0.001
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.999	0.000
rs11647507 lBF = `0.0543866` Chr`16` : `20,095,628`	0.001	0.999	0.000
rs7201408 lBF = `0.0256906` Chr`16` : `20,094,054`	0.001	0.999	0.000
rs7185264 lBF = `0.0232121` Chr`16` : `20,094,886`	0.001	0.999	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.999	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.999	0.000
rs12596252 lBF = `-0.0307697` Chr`16` : `20,056,993`	0.001	0.999	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.000	0.999	0.001
rs246185 lBF = `-0.0781691` Chr`16` : `14,395,432`	0.001	0.999	0.000
rs2656620 lBF = `-0.0830656` Chr`16` : `78,913,387`	0.001	0.999	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.000	0.999	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	0.999	0.001
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.000	0.999	0.001
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	0.999	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.001	0.999	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	0.999	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	0.999	0.001
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	0.999	0.001
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	0.999	0.001
rs3785176 lBF = `0.0152003` Chr`16` : `8,896,931`	0.000	0.999	0.001
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	0.999	0.001

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 X0097

log Bayes Factor = 96.1227

contains 10 variants

0.9984

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5410

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2589

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9999

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9937

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9857

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9677

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9651

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9548

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9535

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9486

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9427

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9364

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9268

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9268

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9228

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9200

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9171

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9165

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9163

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9133

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9111

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9100

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9065

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9054

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8971

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8920

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8863

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8742

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8698

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8688

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8644

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.8552

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8528

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8335

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8284

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8261

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8166

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8127

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8089

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8065

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7994

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7923

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7838

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7815

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7653

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7558

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7496

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7413

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7359

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7290

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7265

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7119

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6772

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6734

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6706

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6696

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6470

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6387

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6380

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6340

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6311

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.6245

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6213

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6157

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5959

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5751

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5619

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5549

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5456

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5045

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4976

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4907

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4900

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4898

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4806

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4732

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4612

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4333

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4156

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4107

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3725

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3634

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3615

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3566

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3564

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3364

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.3207

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3056

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2991

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2881

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2849

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2831

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2758

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2754

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2727

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2677

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2633

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2631

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2593

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2545

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2338

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2271

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2197

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2151

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2082

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1913

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1814

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1804

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1788

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1679

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1493

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1434

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1348

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1052

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0971

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0957

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0943

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0913

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0891

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0878

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0794

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0766

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0722

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0658

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0649

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0637

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0564

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0511

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0509

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0502

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

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

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

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)