TreeWAS – [N95.1] Menopausal and female climacteric states

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
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.700	0.300	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.672	0.328	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.657	0.343	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.642	0.358	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.602	0.398	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.550	0.450	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.541	0.459	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.512	0.488	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.499	0.501	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.446	0.554	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.436	0.563	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.410	0.590	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.407	0.593	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.392	0.608	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.391	0.609	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.384	0.616	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.344	0.655	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.339	0.661	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.334	0.666	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.298	0.702	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.276	0.724	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.234	0.766	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.234	0.766	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.232	0.768	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.196	0.804	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.187	0.813	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.162	0.838	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.156	0.844	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.138	0.862	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.128	0.872	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.125	0.875	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.124	0.876	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.123	0.877	0.001
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.118	0.882	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.110	0.890	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.099	0.901	0.001
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.088	0.911	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.080	0.919	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.080	0.920	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.078	0.922	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.927	0.073
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.071	0.929	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.062	0.938	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.047	0.953	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.047	0.953	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.013	0.956	0.031
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.035	0.965	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.028	0.972	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.024	0.973	0.003
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.025	0.974	0.001
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.025	0.975	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.024	0.975	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.023	0.977	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.023	0.977	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.021	0.979	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.019	0.981	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.019	0.981	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.013	0.987	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.013	0.987	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.012	0.988	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.010	0.989	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.009	0.991	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.009	0.991	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.008	0.992	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.007	0.993	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.007	0.993	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.007	0.993	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.006	0.993	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.006	0.993	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.006	0.994	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	0.994	0.006
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	0.994	0.006
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.006	0.994	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.006	0.994	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.005	0.994	0.001
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.994	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.005	0.994	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.005	0.995	0.001
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.005	0.995	0.000
rs4786816 lBF = `-0.098579` Chr`16` : `6,148,030`	0.000	0.996	0.004
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.004	0.996	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.004	0.996	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.004	0.996	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.004	0.996	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.000	0.996	0.004
rs1129700 lBF = `-0.0586406` Chr`16` : `29,918,034`	0.000	0.996	0.004
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.004	0.996	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.003	0.996	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	0.997	0.003
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.003	0.997	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.003	0.997	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.003	0.997	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.002	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs7403856 lBF = `-0.0808688` Chr`16` : `6,156,326`	0.000	0.998	0.002
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.002	0.998	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.002	0.998	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.002	0.998	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.002	0.998	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.001	0.998	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.002	0.998	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.000	0.998	0.002
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.000	0.998	0.002
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.001	0.998	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.998	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.001	0.999	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.001	0.999	0.001
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.999	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.001	0.999	0.000
rs560947 lBF = `-0.0903424` Chr`16` : `3,185,737`	0.000	0.999	0.001
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.000	0.999	0.001
rs3096277 lBF = `-0.0620276` Chr`16` : `83,764,204`	0.001	0.999	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	0.999	0.001
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	0.999	0.001
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.001	0.999	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.001	0.999	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	0.999	0.001
rs4780401 lBF = `-0.0932928` Chr`16` : `11,839,326`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.000	0.999	0.001
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	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
rs3112612 lBF = `0.875649` Chr`16` : `52,635,164`	0.001	0.999	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.000	0.999	0.001
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs8047014 lBF = `-0.114118` Chr`16` : `69,135,049`	0.000	0.999	0.001
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.000	0.999	0.001
rs142916547 lBF = `-0.00053781` Chr`16` : `25,500,442`	0.001	0.999	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.000	0.999	0.001
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
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
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
rs143132326 lBF = `0` Chr`16` : `60,734,667`	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
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
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
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
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
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.001	0.999	0.000
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.000	0.999	0.001
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
rs74475935 lBF = `-0.00036537` Chr`16` : `16,055,106`	0.001	0.999	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.001	0.999	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.001	0.999	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.001	0.999	0.000
rs3104767 lBF = `0.667345` Chr`16` : `52,624,738`	0.001	0.999	0.000
rs7191820 lBF = `-0.0443592` Chr`16` : `79,363,814`	0.001	0.999	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	0.999	0.001
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	0.999	0.001
rs1477196 lBF = `7.90626` Chr`16` : `53,808,258`	0.000	0.999	0.001
rs10852344 lBF = `0.613469` Chr`16` : `12,016,919`	0.001	0.999	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.001	0.999	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	0.999	0.001
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.001	0.999	0.000
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.000
rs2541522 lBF = `-0.00790646` Chr`16` : `10,750,548`	0.000	0.999	0.001
rs2041733 lBF = `-0.0453516` Chr`16` : `11,229,589`	0.001	0.999	0.000
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rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs8044477 lBF = `-0.0147133` Chr`16` : `58,976,591`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	1.000	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.000	1.000	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.000	1.000	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.000	1.000	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.000	1.000	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	1.000	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.000	1.000	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs6498540 lBF = `0.0170265` Chr`16` : `15,130,594`	0.000	1.000	0.000
rs28810 lBF = `0.00524551` Chr`16` : `3,500,515`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs11647589 lBF = `-0.0210411` Chr`16` : `20,449,616`	0.000	1.000	0.000
rs255049 lBF = `-0.0397049` Chr`16` : `68,013,471`	0.000	1.000	0.000
rs10083777 lBF = `-0.0441441` Chr`16` : `81,065,282`	0.000	1.000	0.000
rs8053728 lBF = `-0.0620872` Chr`16` : `82,485,251`	0.000	1.000	0.000
rs870288 lBF = `-0.0775093` Chr`16` : `5,585,852`	0.000	1.000	0.000
rs7203193 lBF = `-0.099666` Chr`16` : `11,641,180`	0.000	1.000	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	1.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	1.000	0.000
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	1.000	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.000	1.000	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.000	1.000	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.000	1.000	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.000	1.000	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.000	1.000	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	1.000	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs7184597 lBF = `0.0323666` Chr`16` : `28,921,809`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs4985155 lBF = `0.00464272` Chr`16` : `15,129,459`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	1.000	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs12919130 lBF = `-0.0200803` Chr`16` : `20,126,974`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs1079572 lBF = `-0.0273694` Chr`16` : `78,187,138`	0.000	1.000	0.000
rs12924650 lBF = `-0.027911` Chr`16` : `71,705,908`	0.000	1.000	0.000
rs17231506 lBF = `-0.0477004` Chr`16` : `56,994,528`	0.000	1.000	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.000	1.000	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	1.000	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	1.000	0.000
rs30388 lBF = `-0.0567583` Chr`16` : `79,614,116`	0.000	1.000	0.000
rs7194676 lBF = `-0.0614059` Chr`16` : `87,489,891`	0.000	1.000	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	1.000	0.000
rs424971 lBF = `-0.126894` Chr`16` : `85,946,450`	0.000	1.000	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.000	1.000	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.000	1.000	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.000	1.000	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.000	1.000	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	1.000	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	1.000	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.000	1.000	0.000
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.000	1.000	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	1.000	0.000
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	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
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	1.000	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	1.000	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.000	1.000	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.000	1.000	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.000	1.000	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	1.000	0.000
rs4561483 lBF = `0.00633995` Chr`16` : `11,920,037`	0.000	1.000	0.000
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	1.000	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	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 X0176

log Bayes Factor = 407.797

contains 14 variants

0.9233

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9219

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8870

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8185

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8072

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7902

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7838

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7591

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7577

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7536

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7231

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7064

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6503

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6456

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5931

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5717

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5488

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5378

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4662

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4572

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4479

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4085

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3260

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3235

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3231

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3203

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2936

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2799

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2734

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2381

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2195

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1951

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1921

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1892

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1759

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1494

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1440

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1134

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1039

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.0721

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0698

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0642

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0592

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0591

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`)