TreeWAS – [K25.4] Chronic or unspecified with haemorrhage

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
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.651	0.349	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.580	0.420	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.572	0.428	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.572	0.428	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.508	0.492	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.503	0.497	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.496	0.504	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.437	0.563	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.421	0.579	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.419	0.581	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.412	0.588	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.400	0.599	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.383	0.617	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.354	0.645	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.346	0.654	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.305	0.695	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.255	0.745	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.253	0.746	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.245	0.755	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.227	0.773	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.219	0.780	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.218	0.781	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.189	0.810	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.136	0.863	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.132	0.867	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.100	0.900	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.095	0.905	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.091	0.908	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.090	0.910	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.089	0.911	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.066	0.934	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.064	0.935	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.060	0.939	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.059	0.941	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.055	0.945	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.054	0.946	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.048	0.952	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.046	0.954	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.043	0.957	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.037	0.963	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.035	0.965	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.033	0.967	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.031	0.969	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.027	0.973	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.025	0.975	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.021	0.979	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.021	0.979	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.019	0.981	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.019	0.981	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.018	0.982	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.017	0.983	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.017	0.983	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.016	0.984	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.015	0.985	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.015	0.985	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.014	0.986	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.013	0.986	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.013	0.987	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.012	0.988	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.011	0.989	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.011	0.989	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.009	0.990	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.009	0.991	0.000
rs13332649 lBF = `-0.0233194` Chr`16` : `85,966,683`	0.009	0.991	0.000
rs1560104 lBF = `-0.072262` Chr`16` : `12,708,208`	0.008	0.992	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.008	0.992	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.008	0.992	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.008	0.992	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.008	0.992	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.007	0.992	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.007	0.993	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.007	0.993	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.007	0.993	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.007	0.993	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.007	0.993	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.006	0.993	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.006	0.993	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.006	0.994	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.006	0.994	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.006	0.994	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.006	0.994	0.000
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	0.994	0.006
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.005	0.995	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.000	0.995	0.005
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.005	0.995	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.005	0.995	0.000
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.005	0.995	0.000
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.005	0.995	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.004	0.996	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.004	0.996	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.004	0.996	0.000
rs1858800 lBF = `0.0593995` Chr`16` : `73,024,276`	0.004	0.996	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.003	0.996	0.001
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.996	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.003	0.997	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.003	0.997	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.003	0.997	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.003	0.997	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.997	0.003
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.000	0.997	0.003
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.003	0.997	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.003	0.997	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.997	0.003
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.003	0.997	0.000
rs8049603 lBF = `-0.0777599` Chr`16` : `23,067,260`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.003	0.997	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.002	0.997	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.002	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	0.997	0.003
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.002	0.997	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.997	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.002	0.998	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.002	0.998	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.002	0.998	0.000
rs3096277 lBF = `-0.0620276` Chr`16` : `83,764,204`	0.000	0.998	0.002
rs16961543 lBF = `-0.068759` Chr`16` : `59,940,188`	0.000	0.998	0.002
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.002	0.998	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.002	0.998	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.002	0.998	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.002	0.998	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.002	0.998	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.002	0.998	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.002	0.998	0.000
rs2018916 lBF = `-0.125196` Chr`16` : `63,700,508`	0.000	0.998	0.002
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.002	0.998	0.000
rs4561483 lBF = `0.00633995` Chr`16` : `11,920,037`	0.000	0.998	0.002
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	0.998	0.002
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs7191751 lBF = `-0.067992` Chr`16` : `86,304,261`	0.002	0.998	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.001	0.998	0.000
rs11648422 lBF = `8.5436` Chr`16` : `90,105,004`	0.002	0.998	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.001	0.998	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.001	0.998	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	0.998	0.002
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.001	0.999	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	0.999	0.001
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.001	0.999	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.001	0.999	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.001	0.999	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.001	0.999	0.001
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.001	0.999	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.001	0.999	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.001	0.999	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.001	0.999	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	0.999	0.001
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.001	0.999	0.000
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.001	0.999	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.001	0.999	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.001	0.999	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.001	0.999	0.000
rs17338034 lBF = `-0.0375197` Chr`16` : `51,357,482`	0.001	0.999	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.001	0.999	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	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
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.001	0.999	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.001	0.999	0.000
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.001	0.999	0.000
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs114607539 lBF = `0` Chr`16` : `60,697,586`	0.001	0.999	0.001
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
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
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rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.000	1.000	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	1.000	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.000	1.000	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.000	1.000	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	1.000	0.000
rs4780805 lBF = `0.251748` Chr`16` : `19,404,645`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs11644424 lBF = `0.017494` Chr`16` : `83,326,059`	0.000	1.000	0.000
rs12446301 lBF = `-0.00486397` Chr`16` : `82,697,661`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs8053728 lBF = `-0.0620872` Chr`16` : `82,485,251`	0.000	1.000	0.000
rs9940536 lBF = `-0.0752707` Chr`16` : `79,155,917`	0.000	1.000	0.000
rs8045334 lBF = `-0.084085` Chr`16` : `63,573,376`	0.000	1.000	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.000	1.000	0.000
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.000	1.000	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.000	1.000	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.000	1.000	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	1.000	0.000
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.000	1.000	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.000	1.000	0.000
rs13708 lBF = `0.663477` Chr`16` : `31,000,809`	0.000	1.000	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.000	1.000	0.000
rs12445568 lBF = `0.111174` Chr`16` : `31,004,812`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs500492 lBF = `0.00241029` Chr`16` : `1,050,877`	0.000	1.000	0.000
rs4081947 lBF = `-0.057193` Chr`16` : `87,579,870`	0.000	1.000	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	1.000	0.000
rs386965 lBF = `-0.0757266` Chr`16` : `79,652,541`	0.000	1.000	0.000
rs7193230 lBF = `-0.0987956` Chr`16` : `76,318,542`	0.000	1.000	0.000
rs424971 lBF = `-0.126894` Chr`16` : `85,946,450`	0.000	1.000	0.000
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.000	1.000	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.000	1.000	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.000	1.000	0.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.000	1.000	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs1541692 lBF = `0.0555124` Chr`16` : `79,608,692`	0.000	1.000	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.000	1.000	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.000	1.000	0.000
rs391525 lBF = `-0.103562` Chr`16` : `85,944,439`	0.000	1.000	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.000	1.000	0.000
rs3803680 lBF = `16.4381` Chr`16` : `89,590,243`	0.000	1.000	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	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
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.000	1.000	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	1.000	0.000
rs11644601 lBF = `0.424659` Chr`16` : `15,172,118`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs1478693 lBF = `0.0331999` Chr`16` : `7,164,219`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.000	1.000	0.000
rs821470 lBF = `-0.01652` Chr`16` : `57,058,582`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	1.000	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	1.000	0.000
rs2962462 lBF = `-0.0698373` Chr`16` : `62,798,852`	0.000	1.000	0.000
rs11074782 lBF = `-0.113182` Chr`16` : `26,505,011`	0.000	1.000	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.000	1.000	0.000
rs464274 lBF = `19.9902` Chr`16` : `89,656,631`	0.000	1.000	0.000
rs2968482 lBF = `13.1012` Chr`16` : `88,844,433`	0.000	1.000	0.000
rs154659 lBF = `11.5804` Chr`16` : `89,667,337`	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 X0318

log Bayes Factor = 44.5459

contains 2 variants

0.4971

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.4080

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9975

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.9822

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9760

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9753

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9642

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9634

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9507

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9426

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9193

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8862

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8824

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8726

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8637

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8469

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8354

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8011

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7710

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7664

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7619

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7528

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7438

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7421

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7242

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7126

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6976

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6892

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6791

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6728

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6544

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6313

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6279

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6273

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6222

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6063

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5733

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5711

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5640

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5202

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4967

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4845

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4803

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4726

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4680

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4605

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4421

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4221

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3812

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3388

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3279

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3147

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2948

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2836

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2531

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2455

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2148

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2147

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2074

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1698

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1657

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1282

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1048

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0818

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0799

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0786

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0697

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0551

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`)