TreeWAS – [K63.8] Other specified diseases of intestine

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
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.923	0.077	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.731	0.269	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.720	0.280	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.619	0.381	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.523	0.477	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.499	0.501	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.491	0.508	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.460	0.540	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.410	0.589	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.367	0.632	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.346	0.654	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.339	0.661	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.309	0.691	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.294	0.706	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.266	0.734	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.247	0.753	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.247	0.753	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.233	0.767	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.165	0.835	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.163	0.837	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.163	0.837	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.157	0.841	0.001
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.149	0.851	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.132	0.868	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.124	0.876	0.001
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.120	0.880	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.118	0.881	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.116	0.884	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.106	0.894	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.101	0.899	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.096	0.903	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.091	0.909	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.090	0.910	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.089	0.911	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.086	0.914	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.085	0.915	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.083	0.916	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.072	0.928	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.061	0.939	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.061	0.939	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.056	0.943	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.054	0.946	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.039	0.961	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.036	0.964	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.034	0.966	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.034	0.966	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.031	0.969	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.030	0.970	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.023	0.977	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.022	0.978	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.020	0.980	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.020	0.980	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.017	0.983	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.016	0.984	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.016	0.984	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.015	0.984	0.000
rs8064100 lBF = `-0.074714` Chr`16` : `56,725,173`	0.000	0.985	0.015
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.015	0.985	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.014	0.986	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.014	0.986	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.013	0.987	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.013	0.987	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.013	0.987	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.013	0.987	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.012	0.988	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.012	0.988	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.989	0.011
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.011	0.989	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.011	0.989	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.011	0.989	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.010	0.990	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.010	0.990	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.010	0.990	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.010	0.990	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.010	0.990	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.009	0.991	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.000	0.991	0.009
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.008	0.991	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.007	0.992	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.007	0.992	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.007	0.993	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.007	0.993	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.007	0.993	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.007	0.993	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.007	0.993	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.006	0.994	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.005	0.994	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.005	0.995	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.005	0.995	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.995	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.004	0.995	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.004	0.996	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.004	0.996	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.004	0.996	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.004	0.996	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.004	0.996	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.004	0.996	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.003	0.996	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.003	0.997	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.003	0.997	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.003	0.997	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.997	0.003
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	0.997	0.003
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	0.997	0.003
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.002	0.998	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.002	0.998	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.002	0.998	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.002	0.998	0.000
rs12449000 lBF = `0.335235` Chr`16` : `89,872,970`	0.000	0.998	0.002
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs2353030 lBF = `5.24792` Chr`16` : `89,405,827`	0.000	0.998	0.002
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.002	0.998	0.000
rs2965946 lBF = `7.96796` Chr`16` : `89,516,612`	0.000	0.998	0.002
rs13329835 lBF = `-0.0402402` Chr`16` : `80,650,805`	0.002	0.998	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.998	0.002
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	0.998	0.002
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.001	0.998	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.001	0.998	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	0.999	0.001
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs9921518 lBF = `-0.0463397` Chr`16` : `54,494,424`	0.000	0.999	0.001
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.000	0.999	0.001
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	0.000	0.999	0.001
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs1381102 lBF = `-0.0328893` Chr`16` : `63,955,447`	0.000	0.999	0.001
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	0.999	0.001
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.001
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.001	0.999	0.000
rs7188801 lBF = `-0.0564031` Chr`16` : `86,707,769`	0.000	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.001	0.999	0.000
rs35208507 lBF = `11.6407` Chr`16` : `20,388,929`	0.000	0.999	0.001
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.001	0.999	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.001	0.999	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.001	0.999	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.001	0.999	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	0.999	0.001
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.000	0.999	0.001
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.000	0.999	0.001
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.001	0.999	0.000
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs73251207 lBF = `0` Chr`16` : `87,615,821`	0.001	0.999	0.001
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs114607539 lBF = `0` Chr`16` : `60,697,586`	0.001	0.999	0.001
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.000	0.999	0.001
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.001	0.999	0.000
rs9302841 lBF = `-0.00000593` Chr`16` : `7,227,122`	0.001	0.999	0.000
rs7187140 lBF = `-0.00000637` Chr`16` : `16,011,680`	0.001	0.999	0.000
rs9924561 lBF = `-0.00001304` Chr`16` : `314,780`	0.001	0.999	0.000
rs13335629 lBF = `-0.0000141` Chr`16` : `310,380`	0.001	0.999	0.000
rs78394940 lBF = `-0.00002103` Chr`16` : `11,222,238`	0.000	0.999	0.001
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.999	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.000	0.999	0.001
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.001	0.999	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.001	0.999	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.000	0.999	0.001
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rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.000	1.000	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	1.000	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	1.000	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	1.000	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	1.000	0.000
rs2962462 lBF = `-0.0698373` Chr`16` : `62,798,852`	0.000	1.000	0.000
rs2080501 lBF = `-0.113713` Chr`16` : `49,643,566`	0.000	1.000	0.000
rs17111 lBF = `9.12903` Chr`16` : `84,857,244`	0.000	1.000	0.000
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	0.000	1.000	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.000	1.000	0.000
rs11076780 lBF = `5.5846` Chr`16` : `89,397,954`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.000	1.000	0.000
rs12928822 lBF = `0.0935872` Chr`16` : `11,403,893`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	1.000	0.000
rs12446301 lBF = `-0.00486397` Chr`16` : `82,697,661`	0.000	1.000	0.000
rs12917712 lBF = `-0.0484169` Chr`16` : `29,882,490`	0.000	1.000	0.000
rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	1.000	0.000
rs8049603 lBF = `-0.0777599` Chr`16` : `23,067,260`	0.000	1.000	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.000	1.000	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.000	1.000	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	1.000	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs9934935 lBF = `0.0391536` Chr`16` : `82,704,528`	0.000	1.000	0.000
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	1.000	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs17668704 lBF = `-0.0331721` Chr`16` : `72,257,699`	0.000	1.000	0.000
rs8061121 lBF = `-0.0602714` Chr`16` : `87,193,084`	0.000	1.000	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	1.000	0.000
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.000	1.000	0.000
rs377457 lBF = `-0.0788817` Chr`16` : `85,735,652`	0.000	1.000	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	1.000	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.000	1.000	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.000	1.000	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.000	1.000	0.000
rs728571 lBF = `2.30158` Chr`16` : `55,214,093`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs2062541 lBF = `0.12448` Chr`16` : `16,127,235`	0.000	1.000	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.000	1.000	0.000
rs7184597 lBF = `0.0323666` Chr`16` : `28,921,809`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs2288059 lBF = `-0.0247894` Chr`16` : `76,170,096`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.000	1.000	0.000
rs4787484 lBF = `-0.0491076` Chr`16` : `29,906,546`	0.000	1.000	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.000	1.000	0.000
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.000	1.000	0.000
rs11646213 lBF = `-0.0882128` Chr`16` : `82,642,651`	0.000	1.000	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	1.000	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	1.000	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	1.000	0.000
rs4787483 lBF = `0.0630491` Chr`16` : `29,885,447`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs7204436 lBF = `-0.00524982` Chr`16` : `5,283,491`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs12149862 lBF = `-0.0166929` Chr`16` : `69,497,203`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9898

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9122

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9026

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8862

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8803

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8384

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7753

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7306

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5624

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4754

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4361

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4322

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4072

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2936

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2757

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2614

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2389

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1939

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1909

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1883

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1833

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1811

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1608

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1584

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1459

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1430

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1301

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1254

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1187

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1146

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1083

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1072

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0963

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0856

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0816

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0657

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0646

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0638

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0511

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`)