TreeWAS – [K90.4] Malabsorption due to intolerance, not elsewhere classified

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
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.636	0.364	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.571	0.429	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.560	0.440	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.511	0.489	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.484	0.516	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.483	0.517	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.474	0.526	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.473	0.527	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.459	0.540	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.458	0.542	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.454	0.546	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.453	0.547	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.448	0.552	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.448	0.552	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.436	0.564	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.423	0.577	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.422	0.578	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.412	0.588	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.388	0.612	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.366	0.634	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.356	0.644	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.354	0.646	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.343	0.657	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.343	0.657	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.314	0.686	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.310	0.690	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.305	0.694	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.301	0.699	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.300	0.700	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.291	0.708	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.286	0.714	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.286	0.714	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.284	0.716	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.283	0.716	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.273	0.727	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.272	0.728	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.271	0.728	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.269	0.730	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.266	0.733	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.232	0.768	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.214	0.786	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.196	0.804	0.001
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.194	0.805	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.192	0.807	0.001
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.187	0.812	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.177	0.823	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.149	0.850	0.001
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.149	0.851	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.143	0.857	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.141	0.858	0.001
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.136	0.864	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.134	0.866	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.134	0.866	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.130	0.870	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.126	0.873	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.125	0.875	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.121	0.878	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.119	0.881	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.106	0.894	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.103	0.897	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.100	0.900	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.098	0.902	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.095	0.905	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.093	0.906	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.091	0.909	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.079	0.921	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.077	0.923	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.073	0.927	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.072	0.927	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.072	0.928	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.072	0.928	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.071	0.929	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.070	0.929	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.059	0.941	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.058	0.942	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.056	0.944	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.051	0.948	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.049	0.950	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.049	0.951	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.048	0.952	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.047	0.953	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.046	0.954	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.043	0.957	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.034	0.966	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.034	0.966	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.034	0.966	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.033	0.967	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.033	0.967	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.032	0.968	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.031	0.968	0.001
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.029	0.971	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.027	0.972	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.027	0.973	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.026	0.974	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.025	0.975	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.024	0.975	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.023	0.977	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.019	0.980	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.019	0.981	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.018	0.982	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.017	0.982	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.016	0.984	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.016	0.984	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.015	0.985	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.014	0.986	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.013	0.987	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.012	0.988	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.010	0.990	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.010	0.990	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.008	0.991	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.008	0.992	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.008	0.992	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.007	0.993	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.006	0.994	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.006	0.994	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.005	0.994	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.005	0.995	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.005	0.995	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.005	0.995	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.005	0.995	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.995	0.000
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.000	0.996	0.004
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.004	0.996	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.004	0.996	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.996	0.004
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.004	0.996	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.004	0.996	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.004	0.996	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	0.996	0.003
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	0.997	0.003
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.997	0.003
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.003	0.997	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.003	0.997	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.003	0.997	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.997	0.003
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.003	0.997	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.003	0.997	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.003	0.997	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.003	0.997	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs7498985 lBF = `9.80974` Chr`16` : `90,103,117`	0.002	0.998	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.002	0.998	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.002	0.998	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.002	0.998	0.000
rs11648422 lBF = `8.5436` Chr`16` : `90,105,004`	0.002	0.998	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.002	0.998	0.000
rs11649112 lBF = `0.0180939` Chr`16` : `13,361,411`	0.002	0.998	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.002	0.998	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.002	0.998	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	0.998	0.002
rs11150612 lBF = `-0.025294` Chr`16` : `31,357,760`	0.002	0.998	0.000
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.000	0.998	0.002
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	0.998	0.002
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	0.998	0.002
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.001	0.998	0.000
rs4390574 lBF = `16.0988` Chr`16` : `88,776,297`	0.000	0.998	0.002
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	0.998	0.001
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.001	0.998	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.001	0.998	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	0.998	0.001
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.001	0.998	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.001	0.998	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.001	0.998	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.001	0.999	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.001	0.999	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.001	0.999	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.001	0.999	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.001	0.999	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs4889294 lBF = `-0.103527` Chr`16` : `81,303,759`	0.001	0.999	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	0.999	0.001
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs6499640 lBF = `-0.0833286` Chr`16` : `53,769,677`	0.000	0.999	0.001
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.001	0.999	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.001	0.999	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.001	0.999	0.000
rs11150610 lBF = `-0.00461934` Chr`16` : `31,334,236`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.001	0.999	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	0.001	0.999	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	0.999	0.001
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.001	0.999	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.001	0.999	0.000
rs11644424 lBF = `0.017494` Chr`16` : `83,326,059`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.001	0.999	0.000
rs77150043 lBF = `-0.0685973` Chr`16` : `50,304,249`	0.001	0.999	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.000	0.999	0.001
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rs7359397 lBF = `1.47495` Chr`16` : `28,885,659`	0.000	0.999	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.001	0.999	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.000	0.999	0.000
rs420259 lBF = `0.101125` Chr`16` : `23,634,026`	0.000	0.999	0.001
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	0.999	0.000
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.000	0.999	0.000
rs2531995 lBF = `-0.0915463` Chr`16` : `4,013,467`	0.000	0.999	0.000
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.000	0.999	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.000	0.999	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.000	0.999	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.000	0.999	0.000
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.000	0.999	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.000	0.999	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	0.999	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	0.999	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	0.999	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.000	0.999	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	0.999	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	0.999	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	0.999	0.000
rs1345467 lBF = `-0.0451933` Chr`16` : `51,482,321`	0.000	0.999	0.000
rs12709013 lBF = `-0.0457289` Chr`16` : `58,829,790`	0.000	0.999	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	0.999	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.000	1.000	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs11646411 lBF = `-0.00426655` Chr`16` : `82,746,937`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.000	1.000	0.000
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.000	1.000	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs118146573 lBF = `0.0381728` Chr`16` : `57,000,938`	0.000	1.000	0.000
rs1362756 lBF = `0.00864515` Chr`16` : `51,458,290`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	1.000	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	0.000	1.000	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	1.000	0.000
rs1477196 lBF = `7.90626` Chr`16` : `53,808,258`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs164748 lBF = `2.78549` Chr`16` : `89,708,292`	0.000	1.000	0.000
rs154657 lBF = `2.72053` Chr`16` : `89,708,096`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs7185923 lBF = `0.37497` Chr`16` : `51,245,487`	0.000	1.000	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	1.000	0.000
rs4889009 lBF = `0.0801592` Chr`16` : `79,700,447`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs3743832 lBF = `0.00130723` Chr`16` : `9,213,880`	0.000	1.000	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs2266928 lBF = `-0.0690413` Chr`16` : `580,124`	0.000	1.000	0.000
rs386965 lBF = `-0.0757266` Chr`16` : `79,652,541`	0.000	1.000	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	1.000	0.000
rs9933309 lBF = `25.7741` Chr`16` : `88,844,932`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	1.000	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.000	1.000	0.000
rs12921479 lBF = `0.0503565` Chr`16` : `88,929,207`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.000	1.000	0.000
rs4240810 lBF = `-0.0986505` Chr`16` : `85,625,127`	0.000	1.000	0.000
rs746080 lBF = `-0.101673` Chr`16` : `84,274,405`	0.000	1.000	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.000	1.000	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.000	1.000	0.000
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	1.000	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs2059238 lBF = `0.248767` Chr`16` : `78,258,810`	0.000	1.000	0.000
rs8051149 lBF = `0.170541` Chr`16` : `87,878,822`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1655

Cluster X0281

log Bayes Factor = 108.466

contains 7 variants

0.1475

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9771

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9230

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8952

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8943

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8773

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8361

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8220

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8074

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7977

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7884

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7787

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7687

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7466

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7391

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7001

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6918

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6896

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6857

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6782

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6699

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6628

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6500

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6485

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6482

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6417

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6406

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6350

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6262

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6224

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6150

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5945

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5930

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5901

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5858

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5839

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5824

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5682

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5613

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5573

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5558

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5458

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5439

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5425

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5346

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5294

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5223

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5199

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5154

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5085

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5025

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4856

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4679

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4406

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4329

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4323

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4232

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4141

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4111

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4050

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3974

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3927

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3886

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3880

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3860

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3785

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3725

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3545

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3523

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3504

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3480

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3396

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3353

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3317

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3309

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3211

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3154

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3098

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2897

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2850

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2825

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2750

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2747

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2727

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2683

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2661

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2627

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2613

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2567

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2564

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2394

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2384

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2369

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.2356

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2339

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2313

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2307

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2251

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2221

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2187

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2160

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2137

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2061

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1947

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1871

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1840

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1806

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1785

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1718

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1653

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1651

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1527

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1457

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1428

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1394

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1372

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1336

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1302

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1291

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1266

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1263

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1254

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1113

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1101

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1086

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1072

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1047

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1044

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1016

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0997

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0990

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0923

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0856

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0833

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0831

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0828

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0827

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0820

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0816

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0778

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0764

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0763

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0750

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0679

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0663

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0658

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0596

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0568

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0566

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0561

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0555

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0543

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`)