TreeWAS – [D10.9] Pharynx, unspecified

Variant effects

Click on a variant to see its association results.

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

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.604	0.396	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.567	0.433	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.561	0.439	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.550	0.450	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.544	0.456	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.541	0.459	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.529	0.470	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.515	0.485	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.514	0.486	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.514	0.486	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.513	0.486	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.508	0.492	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.507	0.492	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.504	0.496	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.504	0.496	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.504	0.496	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.497	0.503	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.495	0.504	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.493	0.506	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.492	0.508	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.488	0.511	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.484	0.516	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.482	0.518	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.464	0.536	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.459	0.540	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.455	0.545	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.448	0.552	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.447	0.553	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.445	0.555	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.439	0.561	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.431	0.569	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.416	0.584	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.410	0.589	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.397	0.602	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.396	0.604	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.395	0.605	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.370	0.630	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.370	0.630	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.367	0.632	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.366	0.634	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.362	0.638	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.339	0.660	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.297	0.703	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.290	0.710	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.283	0.717	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.282	0.717	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.281	0.718	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.278	0.722	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.255	0.745	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.252	0.747	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.251	0.749	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.234	0.766	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.229	0.771	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.227	0.773	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.219	0.781	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.215	0.785	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.214	0.785	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.204	0.796	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.203	0.797	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.202	0.797	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.201	0.799	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.201	0.799	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.186	0.814	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.183	0.817	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.183	0.817	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.171	0.828	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.162	0.838	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.156	0.844	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.154	0.845	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.148	0.852	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.000	0.853	0.146
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.143	0.857	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.143	0.857	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.137	0.862	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.136	0.863	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.130	0.870	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.128	0.871	0.001
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.126	0.873	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.126	0.874	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.123	0.876	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.120	0.880	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.117	0.882	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.113	0.887	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.111	0.888	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.111	0.888	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.108	0.891	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.098	0.902	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.098	0.902	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.098	0.902	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.096	0.903	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.095	0.905	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.094	0.906	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.093	0.906	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.093	0.907	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.074	0.926	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.073	0.927	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.064	0.936	0.000
rs3743860 lBF = `6.57378` Chr`16` : `89,818,491`	0.061	0.939	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.060	0.939	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.058	0.942	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.056	0.944	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.054	0.946	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.054	0.946	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.052	0.948	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.052	0.948	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.051	0.949	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.048	0.952	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.046	0.954	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.044	0.956	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.041	0.958	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.039	0.961	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.038	0.962	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.036	0.963	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.036	0.964	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.035	0.964	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.034	0.965	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.033	0.966	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.033	0.967	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.033	0.967	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.032	0.968	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.031	0.969	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.030	0.969	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.029	0.971	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.027	0.973	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.025	0.975	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.025	0.975	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.024	0.976	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	0.978	0.021
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.020	0.980	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.019	0.981	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.017	0.982	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.017	0.983	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.016	0.983	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.016	0.984	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.001	0.985	0.014
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.013	0.987	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	0.987	0.012
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.012	0.988	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.011	0.989	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.010	0.989	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.010	0.990	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.010	0.990	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.009	0.991	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.008	0.991	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.007	0.992	0.001
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.006	0.992	0.002
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.008	0.992	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.008	0.992	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.008	0.992	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.007	0.993	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.007	0.993	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.006	0.994	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.006	0.994	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.006	0.994	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.005	0.995	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.005	0.995	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.005	0.995	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.005	0.995	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.004	0.995	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.004	0.996	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.004	0.996	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.004	0.996	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.004	0.996	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.003	0.996	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.003	0.996	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.003	0.997	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.003	0.997	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.003	0.997	0.001
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.003	0.997	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.002	0.997	0.001
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.003	0.997	0.000
rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.003	0.997	0.000
rs1136001 lBF = `0.0202838` Chr`16` : `15,131,974`	0.003	0.997	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.002	0.997	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.003	0.997	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.002	0.997	0.000
rs4985155 lBF = `0.00464272` Chr`16` : `15,129,459`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.002	0.997	0.000
rs2740 lBF = `0.023688` Chr`16` : `15,132,108`	0.002	0.998	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.002	0.998	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.002	0.998	0.000
rs6498540 lBF = `0.0170265` Chr`16` : `15,130,594`	0.002	0.998	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs34792 lBF = `0.0928523` Chr`16` : `15,587,497`	0.000	0.998	0.002
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	0.998	0.002
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.002	0.998	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.002	0.998	0.000
rs11644601 lBF = `0.424659` Chr`16` : `15,172,118`	0.000	0.998	0.002
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.000	0.998	0.002
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.001	0.998	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.001	0.998	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.999	0.000
rs11074683 lBF = `0.0333802` Chr`16` : `10,349,893`	0.000	0.999	0.001
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.001	0.999	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.001	0.999	0.000
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rs71391092 lBF = `-0.045922` Chr`16` : `74,567,075`	0.000	0.999	0.000
rs11859517 lBF = `-0.0592355` Chr`16` : `53,181,247`	0.000	0.999	0.000
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	0.999	0.000
rs4888262 lBF = `-0.0746425` Chr`16` : `74,670,458`	0.000	0.999	0.000
rs34753377 lBF = `17.0207` Chr`16` : `89,609,418`	0.000	0.999	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.000	0.999	0.000
rs12444931 lBF = `1.20963` Chr`16` : `7,753,704`	0.000	0.999	0.000
rs10852344 lBF = `0.613469` Chr`16` : `12,016,919`	0.000	0.999	0.000
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.000	0.999	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.000	0.999	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.000	0.999	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	0.999	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	0.999	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	0.999	0.000
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.000	0.999	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	0.999	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.000	0.999	0.000
rs205391 lBF = `-0.066734` Chr`16` : `28,052,963`	0.000	0.999	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	0.999	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	0.999	0.000
rs4785687 lBF = `16.855` Chr`16` : `89,588,896`	0.000	0.999	0.000
rs7185940 lBF = `8.01101` Chr`16` : `20,410,488`	0.000	0.999	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.999	0.000
rs2047937 lBF = `0.174104` Chr`16` : `49,864,791`	0.000	0.999	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	0.999	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs416603 lBF = `0.0624644` Chr`16` : `11,364,079`	0.000	0.999	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.000	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	0.999	0.000
rs7204436 lBF = `-0.00524982` Chr`16` : `5,283,491`	0.000	0.999	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	0.999	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	0.999	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	0.999	0.000
rs255049 lBF = `-0.0397049` Chr`16` : `68,013,471`	0.000	0.999	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	0.999	0.000
rs3865188 lBF = `-0.0810088` Chr`16` : `82,650,717`	0.000	0.999	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.000	0.999	0.000
rs886427 lBF = `-0.0938422` Chr`16` : `3,023,605`	0.000	0.999	0.000
rs11866781 lBF = `-0.107466` Chr`16` : `7,139,173`	0.000	0.999	0.000
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.000	0.999	0.000
rs13329952 lBF = `29.1228` Chr`16` : `20,366,507`	0.000	0.999	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	0.999	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	0.999	0.000
rs11642231 lBF = `17.8952` Chr`16` : `89,608,702`	0.000	0.999	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.000	0.999	0.000
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	0.999	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.000	0.999	0.000
rs4784256 lBF = `0.215364` Chr`16` : `52,814,559`	0.000	0.999	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	0.999	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.999	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	0.999	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	0.999	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	0.999	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
rs1062746 lBF = `-0.00832958` Chr`16` : `87,364,650`	0.000	0.999	0.000
rs764255 lBF = `-0.0145518` Chr`16` : `73,713,683`	0.000	0.999	0.000
rs8044477 lBF = `-0.0147133` Chr`16` : `58,976,591`	0.000	0.999	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	0.999	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	0.999	0.000
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.000	0.999	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.000	0.999	0.000
rs2266928 lBF = `-0.0690413` Chr`16` : `580,124`	0.000	0.999	0.000
rs3136202 lBF = `-0.121136` Chr`16` : `14,038,174`	0.000	0.999	0.000
rs6564851 lBF = `-0.122217` Chr`16` : `81,264,597`	0.000	0.999	0.000
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.000	0.999	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	0.999	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.000	0.999	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	0.999	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	0.999	0.000
rs367569 lBF = `0.26583` Chr`16` : `11,365,500`	0.000	0.999	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	0.999	0.000
rs246234 lBF = `0.0893087` Chr`16` : `16,128,742`	0.000	0.999	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.000	0.999	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	0.999	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	0.999	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	0.999	0.000
rs17213965 lBF = `0.0146115` Chr`16` : `15,881,967`	0.000	0.999	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.000	0.999	0.000
rs6500744 lBF = `0.0031726` Chr`16` : `6,113,661`	0.000	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs8056064 lBF = `0.00130499` Chr`16` : `82,787,053`	0.000	0.999	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	0.999	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	0.999	0.000
rs2519974 lBF = `-0.0362553` Chr`16` : `22,889,186`	0.000	0.999	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	0.999	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	0.999	0.000
rs3784962 lBF = `-0.11486` Chr`16` : `83,757,328`	0.000	0.999	0.000
rs12600304 lBF = `-0.144173` Chr`16` : `58,022,136`	0.000	0.999	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.000	1.000	0.000
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.3651

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1165

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7155

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7154

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7150

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7139

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7134

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7129

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7129

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7122

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7120

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7102

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7091

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7090

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7076

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7061

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7059

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7043

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7034

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6980

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6975

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6965

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6955

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6951

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6902

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6874

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6782

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6766

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6746

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6726

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6723

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6659

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6636

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6630

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6626

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6607

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6563

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6543

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6535

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6518

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6503

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6499

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6460

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6436

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6361

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6313

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6291

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6287

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6281

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6244

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6207

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6196

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6192

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6190

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6175

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6127

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6103

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6058

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6029

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5994

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5983

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5983

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5969

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5940

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5936

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5926

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5903

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5834

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5817

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5816

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5754

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5738

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5684

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5680

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5561

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5551

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5470

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5406

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5356

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5337

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5317

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5241

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5232

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5230

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5227

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5206

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5200

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5191

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5156

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4946

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4943

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4928

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4825

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4789

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4722

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.4630

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4628

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4458

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4427

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4336

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4211

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4144

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4040

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4011

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3940

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3816

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3747

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3722

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3675

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3658

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3296

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3287

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3236

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3139

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2955

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2838

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2734

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2711

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2687

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2664

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2656

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2615

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2607

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2519

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2519

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2443

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2407

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2333

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2263

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2247

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2240

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1953

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1727

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1463

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1339

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1324

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1256

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1138

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1084

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1055

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0853

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0843

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0715

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0685

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0652

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0649

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0610

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0573

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0538

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`)