TreeWAS – [K22.6] Gastro-oesophageal laceration-haemorrhage syndrome

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`	0.732	0.268	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.689	0.311	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.642	0.358	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.629	0.370	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.555	0.445	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.524	0.476	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.517	0.483	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.488	0.512	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.484	0.515	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.483	0.517	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.444	0.556	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.422	0.578	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.392	0.608	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.346	0.653	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.344	0.656	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.260	0.740	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.246	0.754	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.244	0.756	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.235	0.765	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.224	0.776	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.166	0.834	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.155	0.845	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.154	0.846	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.132	0.867	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.126	0.874	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.083	0.917	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.072	0.928	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.061	0.939	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.060	0.939	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.059	0.941	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.055	0.945	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.051	0.949	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.049	0.951	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.048	0.952	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.043	0.957	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.038	0.961	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`	0.029	0.971	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.026	0.974	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.025	0.975	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.025	0.975	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.023	0.976	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.022	0.978	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.021	0.979	0.001
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.020	0.980	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.019	0.981	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.015	0.985	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.014	0.986	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.013	0.987	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.000	0.987	0.012
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.011	0.989	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.010	0.989	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.010	0.990	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.010	0.990	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.009	0.991	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.009	0.991	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.009	0.991	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.009	0.991	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.009	0.991	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.008	0.992	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.007	0.993	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.007	0.993	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.993	0.007
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.007	0.993	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.007	0.993	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.007	0.993	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.006	0.993	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.006	0.994	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.006	0.994	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.006	0.994	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.006	0.994	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.005	0.994	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.995	0.005
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.005	0.995	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.005	0.995	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.004	0.996	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.004	0.996	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.004	0.996	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.004	0.996	0.000
rs12446301 lBF = `-0.00486397` Chr`16` : `82,697,661`	0.004	0.996	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.996	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.004	0.996	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.003	0.996	0.000
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.004	0.996	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.003	0.996	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.004	0.996	0.000
rs7189501 lBF = `-0.0565337` Chr`16` : `6,175,429`	0.000	0.996	0.004
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.003	0.997	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.001	0.997	0.002
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.003	0.997	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.003	0.997	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.002	0.997	0.000
rs10514550 lBF = `0.0287587` Chr`16` : `82,703,845`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs764255 lBF = `-0.0145518` Chr`16` : `73,713,683`	0.003	0.997	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.002	0.997	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.002	0.998	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.002	0.998	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.000	0.998	0.002
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.002	0.998	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.002	0.998	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	0.998	0.002
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.002	0.998	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.998	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.002	0.998	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.002	0.998	0.000
rs1381102 lBF = `-0.0328893` Chr`16` : `63,955,447`	0.000	0.998	0.002
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.002	0.998	0.000
rs9934935 lBF = `0.0391536` Chr`16` : `82,704,528`	0.002	0.998	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.002	0.998	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.998	0.000
rs7403856 lBF = `-0.0808688` Chr`16` : `6,156,326`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs17668704 lBF = `-0.0331721` Chr`16` : `72,257,699`	0.000	0.998	0.002
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.001	0.998	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.001	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.001	0.998	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.000	0.998	0.002
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	0.999	0.001
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	0.999	0.001
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	0.999	0.001
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.001	0.999	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.001	0.999	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.001	0.999	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.001	0.999	0.000
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.000	0.999	0.001
rs1948632 lBF = `-0.084387` Chr`16` : `75,991,446`	0.000	0.999	0.001
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.001	0.999	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.001	0.999	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	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
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	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
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.001	0.999	0.000
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs153091 lBF = `-0.0606374` Chr`16` : `13,253,956`	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
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
rs79206939 lBF = `0` Chr`16` : `53,860,052`	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
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
rs73251207 lBF = `0` Chr`16` : `87,615,821`	0.001	0.999	0.001
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.001
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs9302841 lBF = `-0.00000593` Chr`16` : `7,227,122`	0.001	0.999	0.000
rs7187140 lBF = `-0.00000637` Chr`16` : `16,011,680`	0.001	0.999	0.000
rs9924561 lBF = `-0.00001304` Chr`16` : `314,780`	0.001	0.999	0.000
rs13335629 lBF = `-0.0000141` Chr`16` : `310,380`	0.001	0.999	0.000
rs78394940 lBF = `-0.00002103` Chr`16` : `11,222,238`	0.000	0.999	0.001
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.000	0.999	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.001	0.999	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	0.999	0.001
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.001
rs2047937 lBF = `0.174104` Chr`16` : `49,864,791`	0.001	0.999	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.001	0.999	0.000
rs35208507 lBF = `11.6407` Chr`16` : `20,388,929`	0.000	0.999	0.001
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.001	0.999	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.999	0.001
rs74475935 lBF = `-0.00036537` Chr`16` : `16,055,106`	0.001	0.999	0.000
rs142916547 lBF = `-0.00053781` Chr`16` : `25,500,442`	0.000	0.999	0.001
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	0.999	0.001
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.001
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Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.000	1.000	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs7359397 lBF = `1.47495` Chr`16` : `28,885,659`	0.000	1.000	0.000
rs12444931 lBF = `1.20963` Chr`16` : `7,753,704`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs1478693 lBF = `0.0331999` Chr`16` : `7,164,219`	0.000	1.000	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	1.000	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	1.000	0.000
rs12446956 lBF = `-0.0439052` Chr`16` : `73,501,536`	0.000	1.000	0.000
rs7191820 lBF = `-0.0443592` Chr`16` : `79,363,814`	0.000	1.000	0.000
rs30388 lBF = `-0.0567583` Chr`16` : `79,614,116`	0.000	1.000	0.000
rs4843747 lBF = `-0.0731947` Chr`16` : `87,991,051`	0.000	1.000	0.000
rs1867485 lBF = `-0.0966553` Chr`16` : `86,681,031`	0.000	1.000	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.000	1.000	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	1.000	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.000	1.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	1.000	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.000	1.000	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.000	1.000	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	1.000	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs929843 lBF = `0.0505906` Chr`16` : `70,045,748`	0.000	1.000	0.000
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	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
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.000	1.000	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	1.000	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	1.000	0.000
rs2903308 lBF = `-0.101953` Chr`16` : `13,656,885`	0.000	1.000	0.000
rs9937837 lBF = `-0.103372` Chr`16` : `31,298,939`	0.000	1.000	0.000
rs9940464 lBF = `-0.123422` Chr`16` : `83,360,775`	0.000	1.000	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	1.000	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.000	1.000	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.000	1.000	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.000	1.000	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	1.000	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.000	1.000	0.000
rs8046018 lBF = `8.23507` Chr`16` : `88,719,980`	0.000	1.000	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs3743860 lBF = `6.57378` Chr`16` : `89,818,491`	0.000	1.000	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	1.000	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.000	1.000	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.000	1.000	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.000	1.000	0.000
rs4349147 lBF = `0.0786613` Chr`16` : `3,124,920`	0.000	1.000	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	1.000	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	1.000	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.000	1.000	0.000
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.000	1.000	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	1.000	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	1.000	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	1.000	0.000
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs12691307 lBF = `0.0239576` Chr`16` : `29,939,877`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	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
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs151222 lBF = `-0.011566` Chr`16` : `20,674,492`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9938

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9792

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9540

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8918

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8547

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8400

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8257

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8176

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7778

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7718

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7402

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7266

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7113

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7106

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6972

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6304

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6084

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5780

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5670

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5446

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5410

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5222

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4550

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3507

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3418

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3264

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3064

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2503

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1850

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1827

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1801

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1660

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.1127

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0941

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0714

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0642

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0584

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0560

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0536

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`)