TreeWAS – [K59.9] Functional intestinal disorder, 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
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.794	0.206	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.646	0.354	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.609	0.391	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.568	0.432	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.534	0.466	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.520	0.480	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.497	0.503	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.488	0.511	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.416	0.584	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.370	0.630	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.357	0.643	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.350	0.650	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.346	0.654	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.307	0.693	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.299	0.701	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.298	0.702	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.274	0.726	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.269	0.731	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.230	0.770	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.177	0.823	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.175	0.825	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.173	0.826	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.158	0.842	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.157	0.843	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.147	0.849	0.004
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.141	0.859	0.001
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.132	0.868	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.127	0.873	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.125	0.875	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.125	0.875	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.122	0.878	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.117	0.883	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.112	0.887	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.110	0.890	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.110	0.890	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.108	0.891	0.001
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.107	0.893	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.095	0.905	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.087	0.913	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.077	0.923	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.070	0.930	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.068	0.932	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.060	0.940	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.058	0.942	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.053	0.947	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.052	0.948	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.050	0.950	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.047	0.953	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.046	0.954	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.043	0.957	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.042	0.957	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.039	0.961	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.036	0.964	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.033	0.967	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.026	0.974	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.024	0.975	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.023	0.977	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.023	0.977	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.022	0.978	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.021	0.979	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.020	0.980	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.020	0.980	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.019	0.980	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.018	0.982	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.018	0.982	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.017	0.983	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.017	0.983	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.016	0.984	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.016	0.984	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.016	0.984	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.016	0.984	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.016	0.984	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.014	0.986	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.014	0.986	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.014	0.986	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.013	0.987	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.013	0.987	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.013	0.987	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.013	0.987	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.012	0.987	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.012	0.988	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.011	0.989	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.011	0.989	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.010	0.990	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.009	0.991	0.000
rs1560104 lBF = `-0.072262` Chr`16` : `12,708,208`	0.009	0.991	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.008	0.992	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.008	0.992	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.008	0.992	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.008	0.992	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.006	0.994	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	0.994	0.006
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.005	0.995	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.004	0.995	0.001
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.996	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.004	0.996	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.004	0.996	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.004	0.996	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.004	0.996	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.004	0.996	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.004	0.996	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.003	0.996	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.003	0.996	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.003	0.996	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.003	0.997	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.003	0.997	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.003	0.997	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.003	0.997	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.997	0.003
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.002	0.997	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.002	0.998	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.002	0.998	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs2444217 lBF = `-0.0820759` Chr`16` : `4,038,387`	0.000	0.998	0.002
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.001	0.998	0.002
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.002	0.998	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.002	0.998	0.000
rs11866328 lBF = `0.277124` Chr`16` : `9,862,556`	0.002	0.998	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.002	0.998	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.002	0.998	0.000
rs8045334 lBF = `-0.084085` Chr`16` : `63,573,376`	0.000	0.998	0.002
rs1867485 lBF = `-0.0966553` Chr`16` : `86,681,031`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.998	0.000
rs7189501 lBF = `-0.0565337` Chr`16` : `6,175,429`	0.002	0.998	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.001	0.998	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.001	0.999	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.999	0.001
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.000	0.999	0.001
rs1858800 lBF = `0.0593995` Chr`16` : `73,024,276`	0.000	0.999	0.001
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.001	0.999	0.000
rs9922678 lBF = `0.176249` Chr`16` : `9,946,319`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.001	0.999	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.001	0.999	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.001	0.999	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.001	0.999	0.001
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs8058295 lBF = `1.23133` Chr`16` : `9,911,386`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs4083242 lBF = `-0.0786122` Chr`16` : `86,368,526`	0.001	0.999	0.000
rs8045405 lBF = `-0.11052` Chr`16` : `8,503,222`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs4843747 lBF = `-0.0731947` Chr`16` : `87,991,051`	0.000	0.999	0.001
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.000	0.999	0.001
rs11648796 lBF = `-0.0731797` Chr`16` : `792,190`	0.001	0.999	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	0.999	0.001
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	0.999	0.001
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs7405404 lBF = `-0.0111953` Chr`16` : `13,749,859`	0.000	0.999	0.001
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.001	0.999	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.001	0.999	0.000
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
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.000	0.999	0.001
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	0.999	0.001
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.000	0.999	0.001
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
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	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
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
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
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
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	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
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
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.001	0.999	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.001	0.999	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
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rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.000	1.000	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.000	1.000	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	1.000	0.000
rs7186128 lBF = `0.0257583` Chr`16` : `16,957,915`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.000	1.000	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.000	1.000	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	1.000	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.000	1.000	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	1.000	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.000	1.000	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.000	1.000	0.000
rs26528 lBF = `0.611624` Chr`16` : `28,517,709`	0.000	1.000	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	1.000	0.000
rs246234 lBF = `0.0893087` Chr`16` : `16,128,742`	0.000	1.000	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs13333054 lBF = `-0.0287458` Chr`16` : `86,011,033`	0.000	1.000	0.000
rs2735413 lBF = `-0.0378154` Chr`16` : `78,053,643`	0.000	1.000	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	1.000	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.000	1.000	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	1.000	0.000
rs12446940 lBF = `-0.0678355` Chr`16` : `3,962,620`	0.000	1.000	0.000
rs2266928 lBF = `-0.0690413` Chr`16` : `580,124`	0.000	1.000	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.000	1.000	0.000
rs4783244 lBF = `-0.0832544` Chr`16` : `82,662,268`	0.000	1.000	0.000
rs746080 lBF = `-0.101673` Chr`16` : `84,274,405`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.000	1.000	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	1.000	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.000	1.000	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.000	1.000	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	1.000	0.000
rs11644601 lBF = `0.424659` Chr`16` : `15,172,118`	0.000	1.000	0.000
rs1424233 lBF = `0.110618` Chr`16` : `79,682,751`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs344364 lBF = `0.00835018` Chr`16` : `1,973,516`	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
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs198160 lBF = `-0.0413913` Chr`16` : `24,240,725`	0.000	1.000	0.000
rs1345467 lBF = `-0.0451933` Chr`16` : `51,482,321`	0.000	1.000	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	1.000	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.000	1.000	0.000
rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.000	1.000	0.000
rs1629212 lBF = `-0.067681` Chr`16` : `15,378,697`	0.000	1.000	0.000
rs6564851 lBF = `-0.122217` Chr`16` : `81,264,597`	0.000	1.000	0.000
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.000	1.000	0.000
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	0.000	1.000	0.000
rs9929218 lBF = `2.615` Chr`16` : `68,820,946`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.000	1.000	0.000
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.000	1.000	0.000
rs9925964 lBF = `1.06474` Chr`16` : `31,129,895`	0.000	1.000	0.000
rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs40129 lBF = `0.230139` Chr`16` : `9,438,692`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	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 X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9956

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9859

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9582

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9461

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9438

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9320

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9243

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9197

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9108

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9082

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9081

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8938

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8878

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8870

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8829

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8804

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8714

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8684

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8619

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8570

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8541

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8531

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8414

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8343

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8317

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8317

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8261

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8190

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8161

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8090

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8087

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7834

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7750

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7708

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7539

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7447

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7148

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6951

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6795

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6792

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6746

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6689

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6606

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6478

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6460

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6212

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6095

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6066

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6053

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5882

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5523

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5180

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5157

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4821

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4795

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4712

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4597

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4559

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4418

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4237

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4202

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3130

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2967

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2656

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2598

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2557

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2419

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1606

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1400

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1392

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1370

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1193

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1131

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1099

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0860

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0818

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0790

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0768

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0759

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0692

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0595

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0542

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`)