TreeWAS – [N99.4] Postprocedural pelvic peritoneal adhesions

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
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.653	0.347	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.630	0.370	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.622	0.378	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.592	0.408	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.563	0.437	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.541	0.459	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.540	0.460	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.530	0.470	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.523	0.477	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.521	0.479	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.520	0.480	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.515	0.485	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.512	0.488	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.508	0.492	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.497	0.503	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.468	0.532	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.459	0.541	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.447	0.553	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.442	0.558	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.434	0.566	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.433	0.567	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.424	0.575	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.420	0.579	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.415	0.584	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.413	0.587	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.409	0.590	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.404	0.596	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.403	0.597	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.598	0.402
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.397	0.603	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.395	0.605	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.388	0.612	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.386	0.613	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.379	0.621	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.376	0.624	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.367	0.632	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.367	0.633	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.366	0.634	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.365	0.635	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.362	0.637	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.362	0.637	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.362	0.638	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.361	0.639	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.360	0.640	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.360	0.640	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.357	0.643	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.354	0.646	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.352	0.648	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.342	0.658	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.339	0.661	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.339	0.661	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.338	0.662	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.334	0.666	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.334	0.666	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.331	0.669	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.329	0.670	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.328	0.672	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.322	0.678	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.321	0.678	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.318	0.681	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.311	0.689	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.306	0.693	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.301	0.699	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.295	0.705	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.287	0.713	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.284	0.715	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.276	0.724	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.272	0.728	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.264	0.736	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.248	0.751	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.239	0.760	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.238	0.761	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.237	0.763	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.235	0.765	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.225	0.774	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.224	0.775	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.221	0.779	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.208	0.791	0.001
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.207	0.793	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.204	0.796	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.194	0.806	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.185	0.815	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.184	0.816	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.182	0.817	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.182	0.818	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.173	0.827	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.140	0.860	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.127	0.873	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.126	0.874	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.113	0.886	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.103	0.897	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.102	0.898	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.102	0.898	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.101	0.899	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.088	0.912	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.084	0.916	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.083	0.917	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.081	0.919	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.081	0.919	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.919	0.081
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.081	0.919	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.081	0.919	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.079	0.921	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.074	0.926	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.072	0.927	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.069	0.930	0.000
rs13329952 lBF = `29.1228` Chr`16` : `20,366,507`	0.066	0.934	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.058	0.941	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.058	0.941	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.055	0.944	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.053	0.947	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.052	0.948	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.049	0.951	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.048	0.952	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.048	0.952	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.044	0.956	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.039	0.961	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.038	0.962	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.034	0.965	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.035	0.965	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.031	0.968	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.031	0.969	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.028	0.971	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.026	0.973	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.023	0.977	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.022	0.978	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.021	0.978	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.021	0.979	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.019	0.980	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.018	0.981	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.018	0.982	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.018	0.982	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.018	0.982	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.017	0.983	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.016	0.984	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.016	0.984	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.015	0.984	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.015	0.985	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.015	0.985	0.000
rs3785176 lBF = `0.0152003` Chr`16` : `8,896,931`	0.013	0.987	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.012	0.987	0.001
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.011	0.989	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.010	0.990	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.010	0.990	0.001
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.010	0.990	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.010	0.990	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.008	0.992	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.008	0.992	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.000	0.992	0.008
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.007	0.993	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.007	0.993	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.007	0.993	0.000
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.007	0.993	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.006	0.994	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.006	0.994	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.006	0.994	0.000
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.006	0.994	0.000
rs12446492 lBF = `6.16364` Chr`16` : `20,408,377`	0.006	0.994	0.000
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.005	0.995	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.005	0.995	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.004	0.995	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.995	0.005
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.004	0.996	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.004	0.996	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.004	0.996	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.004	0.996	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.004	0.996	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.004	0.996	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	0.997	0.003
rs4240810 lBF = `-0.0986505` Chr`16` : `85,625,127`	0.003	0.997	0.000
rs10083777 lBF = `-0.0441441` Chr`16` : `81,065,282`	0.000	0.997	0.003
rs12921479 lBF = `0.0503565` Chr`16` : `88,929,207`	0.000	0.997	0.003
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.003	0.997	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	0.997	0.003
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.003	0.997	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.003	0.997	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs420259 lBF = `0.101125` Chr`16` : `23,634,026`	0.003	0.997	0.000
rs12443954 lBF = `-0.0692959` Chr`16` : `89,741,496`	0.000	0.997	0.003
rs3813579 lBF = `2.92185` Chr`16` : `79,749,276`	0.002	0.997	0.000
rs4784220 lBF = `23.5457` Chr`16` : `52,535,810`	0.002	0.998	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.002	0.998	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.002	0.998	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.002	0.998	0.000
rs249954 lBF = `0.435359` Chr`16` : `23,640,467`	0.002	0.998	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.002	0.998	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.002	0.998	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.002	0.998	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.002	0.998	0.000
rs6499188 lBF = `1.3923` Chr`16` : `68,674,788`	0.002	0.998	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.002	0.998	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.001	0.998	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.002	0.998	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	0.998	0.002
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.998	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.002	0.998	0.000
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rs4581712 lBF = `1.08755` Chr`16` : `80,497,601`	0.001	0.999	0.000
rs2062541 lBF = `0.12448` Chr`16` : `16,127,235`	0.000	0.999	0.001
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.000	0.999	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	0.999	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.000	0.999	0.001
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	0.999	0.001
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	0.999	0.000
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.001	0.999	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.001	0.999	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	0.999	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.001	0.999	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	0.999	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	0.999	0.001
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.000	0.999	0.001
rs11861787 lBF = `-0.0554163` Chr`16` : `8,517,745`	0.001	0.999	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	0.999	0.001
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.001	0.999	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.000	0.999	0.001
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.000	0.999	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	0.999	0.000
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.001	0.999	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	0.999	0.001
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.999	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.999	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.001	0.999	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.001	0.999	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	0.001	0.999	0.000
rs8045405 lBF = `-0.11052` Chr`16` : `8,503,222`	0.001	0.999	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.001	0.999	0.000
rs9933309 lBF = `25.7741` Chr`16` : `88,844,932`	0.000	0.999	0.001
rs2193094 lBF = `13.5255` Chr`16` : `52,566,454`	0.001	0.999	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.001	0.999	0.000
rs40129 lBF = `0.230139` Chr`16` : `9,438,692`	0.001	0.999	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.001	0.999	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	0.999	0.001
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.001	0.999	0.000
rs4788815 lBF = `0.00548933` Chr`16` : `71,634,811`	0.001	0.999	0.000
rs3743832 lBF = `0.00130723` Chr`16` : `9,213,880`	0.001	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.001	0.999	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.001	0.999	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.000	0.999	0.000
rs154659 lBF = `11.5804` Chr`16` : `89,667,337`	0.001	0.999	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.001	0.999	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	0.999	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	0.999	0.001
rs12446301 lBF = `-0.00486397` Chr`16` : `82,697,661`	0.001	0.999	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	0.999	0.001
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	0.999	0.001
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs2519974 lBF = `-0.0362553` Chr`16` : `22,889,186`	0.000	0.999	0.001
rs8052560 lBF = `-0.0737905` Chr`16` : `88,777,242`	0.000	0.999	0.001
rs4783860 lBF = `-0.10313` Chr`16` : `55,005,321`	0.000	0.999	0.001
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.001	0.999	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	0.999	0.000
rs924135 lBF = `0.189171` Chr`16` : `16,123,459`	0.000	0.999	0.001
rs2086824 lBF = `0.0494884` Chr`16` : `89,471,246`	0.001	0.999	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	0.999	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	0.999	0.000
rs11150612 lBF = `-0.025294` Chr`16` : `31,357,760`	0.001	0.999	0.000
rs1364247 lBF = `-0.0509886` Chr`16` : `82,477,314`	0.001	0.999	0.000
rs11859036 lBF = `-0.114229` Chr`16` : `80,305,551`	0.000	0.999	0.001
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	0.999	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	0.999	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	0.999	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	0.999	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	0.999	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.001	0.999	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	0.999	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	0.999	0.001
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	0.999	0.000
rs2650492 lBF = `-0.0547964` Chr`16` : `28,333,411`	0.000	0.999	0.000
rs26528 lBF = `0.611624` Chr`16` : `28,517,709`	0.000	0.999	0.001
rs11641184 lBF = `0.49443` Chr`16` : `11,704,651`	0.000	0.999	0.001
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.000	0.999	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	0.999	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	0.999	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	0.999	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	0.999	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	0.999	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	0.000	0.999	0.000
rs12446956 lBF = `-0.0439052` Chr`16` : `73,501,536`	0.000	0.999	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.001	0.999	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	0.999	0.000
rs77303550 lBF = `2.9817` Chr`16` : `72,079,657`	0.000	0.999	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4018

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2760

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9994

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9959

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9831

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9714

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9709

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9702

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9687

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9665

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9610

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9581

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9565

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9559

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9545

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9510

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9474

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9386

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9278

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9274

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9254

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9230

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9120

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9023

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8995

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8953

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8912

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8762

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8706

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8700

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8661

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8659

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8655

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8609

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8566

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8539

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8492

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8482

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8462

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8437

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8329

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8327

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8211

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8203

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8032

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7979

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7973

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7966

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7935

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7855

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7790

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7772

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7716

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7677

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7662

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7609

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7605

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7597

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7565

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7543

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7514

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7507

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7131

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7007

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6853

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6844

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6843

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6740

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6648

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6601

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6564

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6531

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6489

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6367

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6338

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6268

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6227

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6184

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6142

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6102

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6099

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6020

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6009

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5870

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5850

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5815

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5536

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5489

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5484

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5361

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5133

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5104

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5090

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5064

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4965

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4928

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4825

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4789

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4727

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4466

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4409

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4322

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4294

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4243

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4172

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.4029

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4019

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3948

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3936

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3930

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3901

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3821

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3750

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3746

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3734

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3732

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3687

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3646

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3637

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3592

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3443

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3440

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3312

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3096

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2933

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2927

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2908

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2700

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2689

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2682

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2631

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2533

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.2232

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1984

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1809

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1730

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1718

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1425

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1218

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0968

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0938

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0863

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0813

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0777

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0703

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0677

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0645

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0591

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0557

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0546

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`)