TreeWAS – [Z35.6] Supervision of very young primigravida

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
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.624	0.376	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.562	0.438	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.533	0.467	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.525	0.475	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.468	0.532	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.462	0.537	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.460	0.540	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.453	0.547	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.446	0.554	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.442	0.558	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.431	0.569	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.430	0.570	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.430	0.570	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.429	0.570	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.427	0.573	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.424	0.576	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.420	0.580	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.409	0.590	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.409	0.591	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.405	0.594	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.405	0.595	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.398	0.601	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.398	0.601	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.396	0.604	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.394	0.606	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.392	0.608	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.390	0.610	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.386	0.614	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.377	0.623	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.375	0.625	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.374	0.626	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.373	0.627	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.367	0.633	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.363	0.637	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.361	0.638	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.355	0.645	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.353	0.646	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.347	0.653	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.347	0.653	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.342	0.658	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.325	0.675	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.313	0.687	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.310	0.689	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.308	0.692	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.308	0.692	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.292	0.707	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.289	0.711	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.288	0.712	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.284	0.716	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.268	0.731	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.262	0.738	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.261	0.738	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.243	0.756	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.242	0.757	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.240	0.760	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.229	0.770	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.222	0.777	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.221	0.779	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.219	0.781	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.217	0.783	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.217	0.783	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.788	0.211
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.211	0.789	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.206	0.793	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.203	0.797	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.189	0.811	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.185	0.815	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.181	0.818	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.180	0.820	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.173	0.827	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.172	0.828	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.170	0.829	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.164	0.836	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.157	0.843	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.157	0.843	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.153	0.846	0.001
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.149	0.851	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.146	0.853	0.001
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.131	0.869	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.129	0.871	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.124	0.876	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.120	0.880	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.113	0.887	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.110	0.889	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.096	0.904	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.095	0.905	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.095	0.905	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.094	0.906	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`	0.084	0.916	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.082	0.918	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.078	0.921	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.076	0.923	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.072	0.927	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.069	0.931	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.063	0.937	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.062	0.937	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.061	0.939	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.056	0.943	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.054	0.946	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.052	0.948	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.048	0.948	0.004
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.050	0.950	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.049	0.951	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	0.951	0.048
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.046	0.954	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.958	0.042
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.041	0.959	0.000
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
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.033	0.967	0.001
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.032	0.968	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.032	0.968	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.032	0.968	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.031	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`	0.029	0.970	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.029	0.971	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.028	0.972	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.025	0.975	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.024	0.976	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.024	0.976	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.024	0.976	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.022	0.978	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.021	0.978	0.001
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.021	0.978	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.021	0.979	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.021	0.979	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.020	0.979	0.000
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	0.017	0.983	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.016	0.984	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.016	0.984	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.013	0.987	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.013	0.987	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.011	0.989	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.011	0.989	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.989	0.011
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.010	0.989	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.010	0.990	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	0.991	0.009
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.009	0.991	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.009	0.991	0.000
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.009	0.991	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.008	0.991	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.008	0.992	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.008	0.992	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.007	0.993	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.007	0.993	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.006	0.993	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.006	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	0.994	0.006
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.006	0.994	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.005	0.994	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.005	0.995	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.005	0.995	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.005	0.995	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.005	0.995	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.004	0.995	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.004	0.996	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.003	0.996	0.001
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.003	0.996	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.003	0.996	0.000
rs350245 lBF = `-0.0808621` Chr`16` : `12,200,115`	0.000	0.997	0.003
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
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.003	0.997	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.003	0.997	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.003	0.997	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	0.997	0.003
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.002	0.997	0.001
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.003	0.997	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.997	0.003
rs55637647 lBF = `-0.092831` Chr`16` : `88,549,264`	0.003	0.997	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.003	0.997	0.000
rs2740 lBF = `0.023688` Chr`16` : `15,132,108`	0.000	0.997	0.002
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
rs129963 lBF = `-0.0869484` Chr`16` : `3,796,147`	0.000	0.997	0.002
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.001	0.998	0.002
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	0.998	0.002
rs1532624 lBF = `0.283711` Chr`16` : `57,005,479`	0.002	0.998	0.000
rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.000	0.998	0.002
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	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
rs17789174 lBF = `-0.0686163` Chr`16` : `85,103,885`	0.000	0.998	0.002
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.000	0.998	0.002
rs247616 lBF = `-0.0472567` Chr`16` : `56,989,590`	0.002	0.998	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.002	0.998	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.002	0.998	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.998	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.998	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.000	0.998	0.002
rs4985155 lBF = `0.00464272` Chr`16` : `15,129,459`	0.000	0.998	0.002
rs17231506 lBF = `-0.0477004` Chr`16` : `56,994,528`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs4240810 lBF = `-0.0986505` Chr`16` : `85,625,127`	0.002	0.998	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.001	0.998	0.000
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rs904790 lBF = `-0.0111645` Chr`16` : `88,528,780`	0.000	0.999	0.000
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.000	0.999	0.000
rs1129700 lBF = `-0.0586406` Chr`16` : `29,918,034`	0.000	0.999	0.000
rs8045253 lBF = `-0.0649985` Chr`16` : `86,437,767`	0.000	0.999	0.000
rs8049603 lBF = `-0.0777599` Chr`16` : `23,067,260`	0.000	0.999	0.000
rs4783244 lBF = `-0.0832544` Chr`16` : `82,662,268`	0.000	0.999	0.000
rs12924572 lBF = `14.354` Chr`16` : `89,748,736`	0.000	0.999	0.000
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.000	0.999	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	0.999	0.000
rs2059238 lBF = `0.248767` Chr`16` : `78,258,810`	0.000	0.999	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	0.999	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.000	0.999	0.000
rs9934935 lBF = `0.0391536` Chr`16` : `82,704,528`	0.000	0.999	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	0.999	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.000	0.999	0.000
rs11861787 lBF = `-0.0554163` Chr`16` : `8,517,745`	0.000	0.999	0.000
rs153091 lBF = `-0.0606374` Chr`16` : `13,253,956`	0.000	0.999	0.000
rs9925432 lBF = `-0.0712221` Chr`16` : `2,917,327`	0.000	0.999	0.000
rs2113334 lBF = `-0.072148` Chr`16` : `13,976,356`	0.000	0.999	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	0.999	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	0.999	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	0.999	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	0.999	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	0.999	0.000
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.000	0.999	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.000	0.999	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	0.999	0.000
rs4467099 lBF = `-0.06859` Chr`16` : `11,542,894`	0.000	0.999	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.000	0.999	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.000	0.999	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	0.999	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	0.999	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.999	0.000
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.000	0.999	0.000
rs55760002 lBF = `0.0377663` Chr`16` : `78,938,643`	0.000	0.999	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.000	0.999	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	0.999	0.000
rs12446301 lBF = `-0.00486397` Chr`16` : `82,697,661`	0.000	0.999	0.000
rs427576 lBF = `-0.0451154` Chr`16` : `73,829,270`	0.000	0.999	0.000
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.000	0.999	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.000	0.999	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.000	0.999	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.000	0.999	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	0.999	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	0.999	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.000	0.999	0.000
rs11644601 lBF = `0.424659` Chr`16` : `15,172,118`	0.000	0.999	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	0.999	0.000
rs924135 lBF = `0.189171` Chr`16` : `16,123,459`	0.000	0.999	0.000
rs2062541 lBF = `0.12448` Chr`16` : `16,127,235`	0.000	0.999	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	0.999	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.000	0.999	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.000	0.999	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.000	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	0.999	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	0.999	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.000	1.000	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs77303550 lBF = `2.9817` Chr`16` : `72,079,657`	0.000	1.000	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	1.000	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	1.000	0.000
rs6500602 lBF = `0.0560949` Chr`16` : `4,497,451`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	1.000	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	1.000	0.000
rs9921518 lBF = `-0.0463397` Chr`16` : `54,494,424`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs7189020 lBF = `-0.0521711` Chr`16` : `304,803`	0.000	1.000	0.000
rs30388 lBF = `-0.0567583` Chr`16` : `79,614,116`	0.000	1.000	0.000
rs11859036 lBF = `-0.114229` Chr`16` : `80,305,551`	0.000	1.000	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.000	1.000	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.000	1.000	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	1.000	0.000
rs7191700 lBF = `0.165901` Chr`16` : `11,406,803`	0.000	1.000	0.000
rs35320143 lBF = `0.138708` Chr`16` : `66,638,245`	0.000	1.000	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	1.000	0.000
rs12716850 lBF = `0.064756` Chr`16` : `78,187,903`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2113

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0992

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0739

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7166

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7166

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7162

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7158

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7156

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7155

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7155

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7154

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7151

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7145

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7145

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7141

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7134

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7131

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7126

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7123

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7112

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7096

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7096

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7091

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7091

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7080

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7078

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7078

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7055

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7041

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7009

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7005

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7001

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7000

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6982

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6979

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6951

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6936

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6913

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6887

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6872

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6867

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6856

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6843

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6839

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6836

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6804

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6793

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6777

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6755

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6752

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6750

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6731

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6699

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6686

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6672

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6662

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6653

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6634

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6631

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6502

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6418

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6387

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6377

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6329

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6327

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6320

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6296

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6278

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6103

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6040

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5991

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5974

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5946

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5921

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5870

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5867

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5772

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5733

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5657

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5620

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5491

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5195

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5055

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5047

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5006

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4987

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4968

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4905

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4864

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4826

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4736

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4712

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4637

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3969

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3964

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3859

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3619

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3488

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3440

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3326

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3313

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3233

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3061

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3060

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3041

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2993

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2968

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2628

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2564

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2440

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2315

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2110

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2061

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2047

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2013

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1970

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1923

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1916

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1910

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1890

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1866

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1845

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1736

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1668

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1593

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1564

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1534

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1519

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1459

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1418

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1402

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1338

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1243

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1212

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1191

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1170

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1141

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1116

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0859

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0855

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0659

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0638

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0634

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0519

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`)