TreeWAS – [Z32.0] Pregnancy, not (yet) confirmed

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
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.614	0.386	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.571	0.429	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.568	0.432	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.534	0.466	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.534	0.466	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.517	0.483	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.504	0.496	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.496	0.504	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.466	0.534	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.463	0.537	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.453	0.547	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.446	0.554	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.436	0.564	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.434	0.566	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.432	0.567	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.429	0.570	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.398	0.601	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.396	0.604	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.386	0.614	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.380	0.619	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.379	0.621	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.378	0.622	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.377	0.623	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.374	0.626	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.373	0.627	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.366	0.633	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.364	0.636	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.364	0.636	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.361	0.638	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.361	0.638	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.360	0.640	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.358	0.641	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.355	0.644	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.355	0.645	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.351	0.649	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.342	0.658	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.331	0.668	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.329	0.671	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.328	0.672	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.327	0.672	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.327	0.673	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.315	0.685	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.302	0.698	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.297	0.703	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.296	0.703	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.295	0.704	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.294	0.705	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.290	0.710	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.288	0.712	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.284	0.716	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.278	0.722	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.276	0.723	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.275	0.725	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.270	0.730	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.264	0.736	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.261	0.738	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.260	0.740	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.258	0.741	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.249	0.750	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.245	0.755	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.243	0.756	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.240	0.760	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.237	0.763	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.220	0.780	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.219	0.781	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.214	0.786	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.202	0.798	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.188	0.812	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.185	0.814	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.185	0.815	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.184	0.816	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.180	0.819	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.177	0.823	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.176	0.824	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.174	0.826	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.826	0.174
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.165	0.835	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.157	0.843	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.152	0.848	0.001
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.151	0.849	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.139	0.860	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.132	0.868	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.131	0.869	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.119	0.881	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.114	0.883	0.003
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.112	0.888	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.107	0.893	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.104	0.896	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.099	0.901	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.097	0.903	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.094	0.906	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.092	0.908	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.091	0.909	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.085	0.915	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.075	0.925	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.073	0.927	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.069	0.930	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.065	0.934	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.063	0.937	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.059	0.941	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.054	0.946	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.050	0.950	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.048	0.952	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.048	0.952	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.048	0.952	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.040	0.960	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.040	0.960	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	0.960	0.040
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.038	0.962	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.036	0.963	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.036	0.963	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.035	0.965	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.032	0.967	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.032	0.968	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.030	0.969	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.030	0.970	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.028	0.971	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.028	0.972	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.028	0.972	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.027	0.972	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.027	0.973	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.027	0.973	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.027	0.973	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.025	0.974	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.024	0.976	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.023	0.977	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.020	0.980	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.018	0.982	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.016	0.984	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.001	0.985	0.014
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.015	0.985	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.014	0.986	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.986	0.014
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.012	0.988	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.011	0.989	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.010	0.990	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.010	0.990	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.009	0.991	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.008	0.992	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.007	0.992	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.007	0.993	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.007	0.993	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.007	0.993	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.007	0.993	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.007	0.993	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.006	0.993	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.006	0.993	0.001
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.006	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.006	0.994	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.006	0.994	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.005	0.994	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.006	0.994	0.000
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.005	0.995	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.004	0.995	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.004	0.995	0.000
rs10514585 lBF = `0.162803` Chr`16` : `83,284,338`	0.000	0.996	0.004
rs7199343 lBF = `-0.0507337` Chr`16` : `73,009,024`	0.004	0.996	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.004	0.996	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	0.996	0.004
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.004	0.996	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.003	0.996	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.002	0.997	0.001
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.001	0.997	0.002
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.003	0.997	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.997	0.003
rs2240255 lBF = `-0.0360385` Chr`16` : `74,772,798`	0.000	0.997	0.003
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.002	0.997	0.001
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.002	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs2740 lBF = `0.023688` Chr`16` : `15,132,108`	0.000	0.998	0.002
rs3803680 lBF = `16.4381` Chr`16` : `89,590,243`	0.002	0.998	0.000
rs11648796 lBF = `-0.0731797` Chr`16` : `792,190`	0.000	0.998	0.002
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.002	0.998	0.000
rs6498540 lBF = `0.0170265` Chr`16` : `15,130,594`	0.000	0.998	0.002
rs1136001 lBF = `0.0202838` Chr`16` : `15,131,974`	0.000	0.998	0.002
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.002	0.998	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.000	0.998	0.002
rs1967309 lBF = `0.483005` Chr`16` : `4,065,583`	0.000	0.998	0.002
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.998	0.000
rs3104767 lBF = `0.667345` Chr`16` : `52,624,738`	0.002	0.998	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.998	0.000
rs3112612 lBF = `0.875649` Chr`16` : `52,635,164`	0.002	0.998	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.002	0.998	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.002	0.998	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.998	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	0.998	0.002
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.000	0.998	0.002
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.002	0.998	0.000
rs26868 lBF = `-0.0569542` Chr`16` : `2,249,376`	0.000	0.998	0.002
rs8052560 lBF = `-0.0737905` Chr`16` : `88,777,242`	0.000	0.998	0.002
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.000	0.999	0.001
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	0.999	0.001
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.001	0.999	0.000
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rs34753377 lBF = `17.0207` Chr`16` : `89,609,418`	0.000	0.999	0.001
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.001	0.999	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.001	0.999	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	0.999	0.001
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.001	0.999	0.000
rs749671 lBF = `1.417` Chr`16` : `31,088,347`	0.001	0.999	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	0.999	0.001
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	0.999	0.001
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	0.999	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	0.999	0.001
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	0.999	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.001	0.999	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	0.999	0.001
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	0.999	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.001	0.999	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.000	0.999	0.001
rs7203193 lBF = `-0.099666` Chr`16` : `11,641,180`	0.000	0.999	0.001
rs3136202 lBF = `-0.121136` Chr`16` : `14,038,174`	0.000	0.999	0.001
rs391855 lBF = `-0.122551` Chr`16` : `85,928,621`	0.001	0.999	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	0.999	0.001
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	0.999	0.001
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.001	0.999	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.000	0.999	0.000
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.001	0.999	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	0.999	0.001
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	0.999	0.001
rs6497441 lBF = `0.233259` Chr`16` : `9,829,848`	0.000	0.999	0.001
rs7195486 lBF = `0.121104` Chr`16` : `4,255,180`	0.000	0.999	0.001
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	0.999	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.000	0.999	0.001
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	0.999	0.000
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.000	0.999	0.001
rs12927162 lBF = `-0.046225` Chr`16` : `52,684,916`	0.000	0.999	0.001
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.001	0.999	0.000
rs4240810 lBF = `-0.0986505` Chr`16` : `85,625,127`	0.000	0.999	0.001
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	0.999	0.000
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.001	0.999	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.001	0.999	0.000
rs12444931 lBF = `1.20963` Chr`16` : `7,753,704`	0.000	0.999	0.001
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	0.999	0.000
rs7191700 lBF = `0.165901` Chr`16` : `11,406,803`	0.001	0.999	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.000	0.999	0.001
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.001	0.999	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	0.999	0.001
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	0.999	0.001
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.001	0.999	0.000
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.000	0.999	0.001
rs7193230 lBF = `-0.0987956` Chr`16` : `76,318,542`	0.001	0.999	0.000
rs17831015 lBF = `-0.0997987` Chr`16` : `24,621,348`	0.000	0.999	0.001
rs391023 lBF = `-0.105211` Chr`16` : `85,927,814`	0.001	0.999	0.000
rs4781563 lBF = `-0.1082` Chr`16` : `14,045,399`	0.000	0.999	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	0.999	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.001	0.999	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.000	0.999	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	0.999	0.000
rs10514550 lBF = `0.0287587` Chr`16` : `82,703,845`	0.000	0.999	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	0.999	0.000
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	0.999	0.001
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.000	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	0.999	0.000
rs71386933 lBF = `-0.0153866` Chr`16` : `71,821,800`	0.000	0.999	0.001
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.000	0.999	0.000
rs2650492 lBF = `-0.0547964` Chr`16` : `28,333,411`	0.001	0.999	0.000
rs1560104 lBF = `-0.072262` Chr`16` : `12,708,208`	0.000	0.999	0.001
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	0.999	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	0.999	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	0.999	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	0.999	0.000
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.000	0.999	0.001
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs151222 lBF = `-0.011566` Chr`16` : `20,674,492`	0.000	0.999	0.000
rs35538253 lBF = `-0.0210536` Chr`16` : `71,677,975`	0.000	0.999	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	0.999	0.000
rs12926725 lBF = `-0.0235384` Chr`16` : `20,059,677`	0.000	0.999	0.000
rs8054347 lBF = `-0.0464613` Chr`16` : `6,717,757`	0.000	0.999	0.001
rs3813009 lBF = `-0.0491261` Chr`16` : `81,960,958`	0.000	0.999	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	0.999	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	0.999	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.999	0.000
rs12449000 lBF = `0.335235` Chr`16` : `89,872,970`	0.000	0.999	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.000	0.999	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	0.999	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.000	0.999	0.000
rs10521115 lBF = `0.049886` Chr`16` : `20,090,645`	0.000	0.999	0.000
rs11642377 lBF = `0.0413304` Chr`16` : `20,109,653`	0.000	0.999	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	0.999	0.000
rs11649112 lBF = `0.0180939` Chr`16` : `13,361,411`	0.000	0.999	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	0.999	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.000	0.999	0.000
rs10083777 lBF = `-0.0441441` Chr`16` : `81,065,282`	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

0.1738

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1164

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0723

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9783

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9732

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9501

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9444

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9402

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9352

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9252

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9175

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9063

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9037

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8995

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8902

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8899

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8898

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8877

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8770

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8710

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8569

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8517

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8470

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8442

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8370

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8305

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8260

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8242

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8168

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8164

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8150

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7896

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7829

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7795

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7716

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7694

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7643

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7570

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7482

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7452

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7443

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7383

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7377

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7329

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7252

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7233

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7230

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7187

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7182

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7140

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7129

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7096

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7064

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7021

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6931

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6908

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6884

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6870

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6818

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6817

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6799

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6757

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6721

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6683

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6676

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6663

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6615

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6577

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6521

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6437

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6392

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6313

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6016

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5975

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5857

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5810

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5761

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5634

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5579

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5555

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5546

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5536

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5486

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5441

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5431

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5409

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5370

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5337

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5297

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5199

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5139

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5136

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5119

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5041

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5017

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5005

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4993

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4931

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4883

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4693

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4485

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4382

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4280

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4197

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4103

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3984

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3978

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3936

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3863

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3855

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3672

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3644

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3503

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3479

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3458

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3395

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3358

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3348

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3346

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3218

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3039

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3005

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2946

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2939

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2758

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2588

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2567

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2494

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2331

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2305

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2302

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2210

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1996

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1948

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1908

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1863

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1832

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1614

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1614

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1367

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1276

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1266

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1264

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1113

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0985

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0920

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0671

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0654

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0641

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0614

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0593

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0569

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0554

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`)