TreeWAS – [C18.6] Descending colon

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
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.795	0.205	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.747	0.253	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	0.270	0.730
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.718	0.282	0.000
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.711	0.289	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.699	0.301	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.689	0.311	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.683	0.317	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.678	0.322	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.673	0.327	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.669	0.330	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.666	0.334	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.660	0.340	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.657	0.343	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.652	0.348	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.628	0.372	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.621	0.379	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.617	0.383	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.614	0.386	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.612	0.388	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.610	0.389	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.606	0.394	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.595	0.405	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.593	0.407	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.592	0.408	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.590	0.410	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.585	0.414	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.584	0.415	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.581	0.418	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.579	0.421	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.576	0.424	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.557	0.443	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.552	0.448	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.544	0.455	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.523	0.477	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.489	0.511	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.486	0.513	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.479	0.521	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.473	0.527	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.470	0.530	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.463	0.537	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.462	0.538	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.447	0.553	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.444	0.556	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.442	0.558	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.439	0.561	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.434	0.566	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.427	0.573	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.419	0.581	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.402	0.598	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.393	0.607	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.391	0.609	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.371	0.629	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.361	0.638	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.348	0.652	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.343	0.657	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.332	0.668	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	0.670	0.330
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.329	0.671	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.322	0.678	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.312	0.688	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.306	0.694	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.303	0.697	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.291	0.709	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.288	0.712	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.286	0.714	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.284	0.716	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.282	0.718	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.274	0.726	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.273	0.727	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.266	0.734	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.258	0.742	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.257	0.743	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.256	0.744	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	0.752	0.248
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.246	0.754	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.244	0.756	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.237	0.763	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.233	0.767	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.230	0.770	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.228	0.771	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.228	0.772	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.224	0.776	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.222	0.778	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.217	0.783	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.215	0.785	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.212	0.788	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.204	0.796	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.203	0.797	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.193	0.806	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.188	0.812	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.183	0.817	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.178	0.821	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.177	0.823	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	0.832	0.168
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.165	0.834	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.152	0.848	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.148	0.852	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.140	0.860	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.138	0.862	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.136	0.863	0.001
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.134	0.865	0.001
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.124	0.875	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.122	0.877	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.120	0.879	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.119	0.881	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.118	0.881	0.001
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.104	0.896	0.000
rs2744148 lBF = `0.233312` Chr`16` : `1,073,552`	0.000	0.900	0.100
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.100	0.900	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.098	0.901	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.086	0.914	0.000
rs12926729 lBF = `0.0441419` Chr`16` : `20,100,370`	0.000	0.915	0.085
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	0.916	0.084
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	0.924	0.076
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.072	0.927	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.070	0.930	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.069	0.931	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.066	0.933	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.065	0.934	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.055	0.945	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.053	0.945	0.002
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.052	0.947	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.050	0.950	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.050	0.950	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.048	0.951	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.047	0.952	0.001
rs10521114 lBF = `0.0406485` Chr`16` : `20,089,754`	0.000	0.952	0.048
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.044	0.954	0.002
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.045	0.955	0.000
rs10521115 lBF = `0.049886` Chr`16` : `20,090,645`	0.000	0.957	0.043
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.042	0.958	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.041	0.959	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.041	0.959	0.000
rs11647507 lBF = `0.0543866` Chr`16` : `20,095,628`	0.000	0.960	0.040
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.039	0.961	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.037	0.962	0.001
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.038	0.962	0.000
rs11642377 lBF = `0.0413304` Chr`16` : `20,109,653`	0.000	0.963	0.037
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.037	0.963	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.036	0.964	0.000
rs420259 lBF = `0.101125` Chr`16` : `23,634,026`	0.036	0.964	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.035	0.965	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.034	0.966	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.033	0.967	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.032	0.967	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.032	0.967	0.001
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.032	0.968	0.000
rs7201408 lBF = `0.0256906` Chr`16` : `20,094,054`	0.000	0.971	0.029
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.027	0.973	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.026	0.973	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.026	0.973	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.026	0.974	0.000
rs12596252 lBF = `-0.0307697` Chr`16` : `20,056,993`	0.000	0.975	0.025
rs12924103 lBF = `0.0410934` Chr`16` : `20,094,546`	0.000	0.975	0.025
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.023	0.977	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.023	0.977	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.023	0.977	0.000
rs7185264 lBF = `0.0232121` Chr`16` : `20,094,886`	0.000	0.977	0.023
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.022	0.978	0.000
rs1902813 lBF = `-0.0220168` Chr`16` : `20,057,661`	0.000	0.978	0.022
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	0.978	0.022
rs12926725 lBF = `-0.0235384` Chr`16` : `20,059,677`	0.000	0.980	0.020
rs1062746 lBF = `-0.00832958` Chr`16` : `87,364,650`	0.020	0.980	0.000
rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.000	0.981	0.019
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.019	0.981	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	0.982	0.018
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.015	0.984	0.001
rs11861787 lBF = `-0.0554163` Chr`16` : `8,517,745`	0.016	0.984	0.000
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.016	0.984	0.000
rs12446940 lBF = `-0.0678355` Chr`16` : `3,962,620`	0.000	0.986	0.014
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.013	0.987	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.012	0.987	0.001
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.012	0.988	0.000
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.000	0.988	0.012
rs3213473 lBF = `-0.0123756` Chr`16` : `16,256,767`	0.011	0.989	0.000
rs1858800 lBF = `0.0593995` Chr`16` : `73,024,276`	0.010	0.990	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.005	0.990	0.005
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.009	0.991	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.009	0.991	0.000
rs2288059 lBF = `-0.0247894` Chr`16` : `76,170,096`	0.008	0.991	0.000
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.008	0.992	0.000
rs12931939 lBF = `0.00334916` Chr`16` : `20,060,830`	0.000	0.992	0.008
rs2608200 lBF = `0.026111` Chr`16` : `20,122,290`	0.007	0.993	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.005	0.993	0.003
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.006	0.993	0.001
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.007	0.993	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.007	0.993	0.000
rs6497436 lBF = `0.0105106` Chr`16` : `20,123,515`	0.007	0.993	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.006	0.994	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.006	0.994	0.000
rs300032 lBF = `-0.0533811` Chr`16` : `86,680,996`	0.005	0.995	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.001	0.995	0.005
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.000	0.995	0.005
rs4985155 lBF = `0.00464272` Chr`16` : `15,129,459`	0.000	0.995	0.005
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.000	0.995	0.005
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.005	0.995	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.005	0.995	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.004	0.996	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.004	0.996	0.000
rs9922678 lBF = `0.176249` Chr`16` : `9,946,319`	0.000	0.996	0.004
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rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.001	0.999	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.001	0.999	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	0.001	0.999	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.001	0.999	0.000
rs4074373 lBF = `-0.0513813` Chr`16` : `83,555,525`	0.001	0.999	0.000
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	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
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	0.999	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.001	0.999	0.000
rs8058295 lBF = `1.23133` Chr`16` : `9,911,386`	0.000	0.999	0.001
rs6500602 lBF = `0.0560949` Chr`16` : `4,497,451`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.001	0.999	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.001	0.999	0.000
rs2244613 lBF = `0.167206` Chr`16` : `55,844,609`	0.001	0.999	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.001	0.999	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.000	0.999	0.001
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.001	0.999	0.000
rs4781011 lBF = `-0.0201332` Chr`16` : `10,975,311`	0.000	0.999	0.001
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.000	0.999	0.001
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.001	0.999	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.000	0.999	0.001
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.001	0.999	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.999	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	0.999	0.000
rs12446956 lBF = `-0.0439052` Chr`16` : `73,501,536`	0.001	0.999	0.000
rs12709013 lBF = `-0.0457289` Chr`16` : `58,829,790`	0.001	0.999	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.999	0.001
rs205391 lBF = `-0.066734` Chr`16` : `28,052,963`	0.000	0.999	0.001
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.001	0.999	0.000
rs4467099 lBF = `-0.06859` Chr`16` : `11,542,894`	0.000	0.999	0.001
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.000	0.999	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	0.999	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	0.999	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.999	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.999	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.000	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs1065656 lBF = `-0.0578323` Chr`16` : `1,838,836`	0.000	0.999	0.000
rs12444261 lBF = `-0.0772295` Chr`16` : `11,734,642`	0.000	0.999	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	1.000	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	1.000	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	1.000	0.000
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.000	1.000	0.000
rs2962462 lBF = `-0.0698373` Chr`16` : `62,798,852`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs2531995 lBF = `-0.0915463` Chr`16` : `4,013,467`	0.000	1.000	0.000
rs391855 lBF = `-0.122551` Chr`16` : `85,928,621`	0.000	1.000	0.000
rs154659 lBF = `11.5804` Chr`16` : `89,667,337`	0.000	1.000	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs17831015 lBF = `-0.0997987` Chr`16` : `24,621,348`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.000	1.000	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs1211375 lBF = `0.222355` Chr`16` : `240,280`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs3785176 lBF = `0.0152003` Chr`16` : `8,896,931`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.000	1.000	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.000	1.000	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	1.000	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	1.000	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs2080454 lBF = `-0.0203477` Chr`16` : `49,062,590`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs17668704 lBF = `-0.0331721` Chr`16` : `72,257,699`	0.000	1.000	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	1.000	0.000
rs4131099 lBF = `-0.0992902` Chr`16` : `51,330,531`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	1.000	0.000
rs9929218 lBF = `2.615` Chr`16` : `68,820,946`	0.000	1.000	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	1.000	0.000
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	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 X0027

log Bayes Factor = 25.8087

contains 2 variants

0.7966

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6101

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.5020

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2985

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9985

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9973

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9959

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9892

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9892

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9865

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9857

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9853

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9832

Cluster X0252

log Bayes Factor = 170.729

contains 6 variants

0.9827

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9821

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9803

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9776

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9758

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9713

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9609

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9524

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9487

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9427

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9423

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9398

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9389

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9358

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9354

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9224

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9207

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9186

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9165

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9154

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9141

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9120

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9117

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9105

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9101

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9088

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9087

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8830

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8813

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8802

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8792

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8771

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8745

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8701

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8689

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8669

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8593

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8593

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8592

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8587

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8561

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8403

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8278

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8183

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8155

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8094

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8057

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7906

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7841

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.7806

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7776

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7663

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7612

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7438

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7025

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6727

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6662

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6585

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6443

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6279

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6152

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6087

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6059

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5989

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5978

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5960

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5904

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5894

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5840

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5767

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5660

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5629

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4968

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4587

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4395

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4204

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4126

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4055

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3979

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3924

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3909

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3413

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3409

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3262

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3182

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3122

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3086

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3047

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2987

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2661

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2603

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2598

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2593

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2558

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2522

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2239

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2148

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2098

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2096

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1791

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1690

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1553

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1519

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1346

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1270

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1259

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1142

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1115

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1037

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1029

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1021

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1000

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0827

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0800

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0775

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0719

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0667

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0568

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0547

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`)