TreeWAS – [Z35.2] Supervision of pregnancy with other poor reproductive or obstetric history

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`	0.740	0.260	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.622	0.378	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.617	0.383	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.497	0.503	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.487	0.513	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.476	0.524	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.476	0.524	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.470	0.530	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.446	0.554	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.444	0.556	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.443	0.557	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.441	0.558	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.440	0.560	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.437	0.563	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.430	0.570	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.429	0.570	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.424	0.576	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.421	0.579	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.420	0.580	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.418	0.582	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.414	0.586	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.406	0.594	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.405	0.594	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.400	0.600	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.395	0.605	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.394	0.606	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
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.376	0.624	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.374	0.626	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.370	0.629	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.369	0.630	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.355	0.645	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.347	0.653	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.345	0.655	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.342	0.658	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.336	0.664	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.332	0.667	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.313	0.687	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.308	0.692	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.306	0.694	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.289	0.711	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`	0.283	0.717	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.275	0.724	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
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.256	0.744	0.001
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.254	0.746	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.253	0.747	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
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.232	0.767	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.225	0.774	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.223	0.777	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
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.213	0.787	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.788	0.212
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.209	0.790	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.189	0.811	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.188	0.812	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.185	0.815	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.184	0.816	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.183	0.817	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.176	0.824	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.170	0.829	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.170	0.830	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.158	0.842	0.001
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.158	0.842	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`	0.146	0.853	0.001
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.141	0.859	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.141	0.859	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.137	0.863	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.136	0.864	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.129	0.870	0.001
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.126	0.873	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.120	0.880	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.116	0.884	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.111	0.888	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.096	0.904	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.095	0.905	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.086	0.913	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.085	0.915	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.078	0.922	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.073	0.927	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.071	0.928	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.065	0.935	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.064	0.936	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.064	0.936	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.063	0.937	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.061	0.938	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.058	0.942	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.058	0.942	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.053	0.947	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	0.948	0.052
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.050	0.950	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.050	0.950	0.001
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.048	0.951	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.045	0.952	0.004
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.044	0.956	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.042	0.958	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.959	0.041
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.040	0.960	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.038	0.962	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.037	0.963	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.036	0.963	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.036	0.964	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.034	0.966	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.033	0.967	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.030	0.969	0.001
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.030	0.970	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.030	0.970	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.029	0.970	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.028	0.972	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.026	0.974	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.025	0.974	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	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
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.023	0.977	0.000
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.023	0.977	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.022	0.978	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.021	0.979	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.020	0.979	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.019	0.980	0.001
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.018	0.982	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.015	0.985	0.000
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.013	0.987	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.013	0.987	0.000
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	0.012	0.988	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	0.988	0.012
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.012	0.988	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
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.010	0.990	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.009	0.990	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.009	0.991	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.008	0.991	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.009	0.991	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.008	0.992	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.007	0.992	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.007	0.993	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	0.993	0.007
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.007	0.993	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.006	0.994	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.006	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.006	0.994	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.006	0.994	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.006	0.994	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	0.994	0.006
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.005	0.994	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	0.995	0.005
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.005	0.995	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.004	0.995	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.005	0.995	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.004	0.995	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.004	0.996	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.004	0.996	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.003	0.996	0.001
rs2740 lBF = `0.023688` Chr`16` : `15,132,108`	0.000	0.997	0.003
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs129963 lBF = `-0.0869484` Chr`16` : `3,796,147`	0.000	0.997	0.003
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.003	0.997	0.001
rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.000	0.997	0.003
rs17789174 lBF = `-0.0686163` Chr`16` : `85,103,885`	0.000	0.997	0.003
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.003	0.997	0.000
rs55637647 lBF = `-0.092831` Chr`16` : `88,549,264`	0.003	0.997	0.000
rs350245 lBF = `-0.0808621` Chr`16` : `12,200,115`	0.000	0.997	0.003
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.003	0.997	0.000
rs4985155 lBF = `0.00464272` Chr`16` : `15,129,459`	0.000	0.997	0.003
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.002	0.997	0.000
rs1532624 lBF = `0.283711` Chr`16` : `57,005,479`	0.003	0.997	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.000	0.997	0.003
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.997	0.002
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.003	0.997	0.000
rs1136001 lBF = `0.0202838` Chr`16` : `15,131,974`	0.000	0.997	0.003
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.003	0.997	0.000
rs6498540 lBF = `0.0170265` Chr`16` : `15,130,594`	0.000	0.997	0.003
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.003	0.997	0.000
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
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.002	0.998	0.000
rs1079572 lBF = `-0.0273694` Chr`16` : `78,187,138`	0.002	0.998	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.001	0.998	0.001
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.002	0.998	0.000
rs12597084 lBF = `-0.0936541` Chr`16` : `5,819,620`	0.000	0.998	0.002
rs247616 lBF = `-0.0472567` Chr`16` : `56,989,590`	0.002	0.998	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	0.998	0.002
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.000	0.998	0.002
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.000	0.998	0.002
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.002	0.998	0.000
rs1463132 lBF = `0.0211482` Chr`16` : `10,183,087`	0.002	0.998	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	0.998	0.002
rs154659 lBF = `11.5804` Chr`16` : `89,667,337`	0.002	0.998	0.000
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.002	0.998	0.000
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rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.001	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	0.999	0.000
rs8061121 lBF = `-0.0602714` Chr`16` : `87,193,084`	0.000	0.999	0.001
rs3803680 lBF = `16.4381` Chr`16` : `89,590,243`	0.001	0.999	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	0.999	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.001	0.999	0.000
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.000	0.999	0.001
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.000	0.999	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.001	0.999	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.001	0.999	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	0.999	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.999	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	0.999	0.000
rs62038064 lBF = `0.018332` Chr`16` : `78,937,752`	0.000	0.999	0.001
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.000	0.999	0.000
rs8056064 lBF = `0.00130499` Chr`16` : `82,787,053`	0.000	0.999	0.001
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.999	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.001	0.999	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.001	0.999	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	0.999	0.000
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.000	0.999	0.001
rs2047925 lBF = `0.035211` Chr`16` : `78,935,908`	0.000	0.999	0.001
rs4888873 lBF = `0.0198001` Chr`16` : `78,937,138`	0.000	0.999	0.001
rs59626546 lBF = `0.0169238` Chr`16` : `78,938,589`	0.000	0.999	0.001
rs7192086 lBF = `0.0104938` Chr`16` : `13,061,611`	0.001	0.999	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.001	0.999	0.000
rs13708 lBF = `0.663477` Chr`16` : `31,000,809`	0.001	0.999	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	0.999	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	0.999	0.000
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.000	0.999	0.001
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	0.999	0.000
rs17668704 lBF = `-0.0331721` Chr`16` : `72,257,699`	0.001	0.999	0.000
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.001	0.999	0.000
rs3844412 lBF = `-0.049109` Chr`16` : `82,646,333`	0.000	0.999	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	0.999	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.000	0.999	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.000	0.999	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	0.999	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	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
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs12932018 lBF = `-0.0504867` Chr`16` : `84,796,603`	0.000	0.999	0.001
rs9932186 lBF = `-0.0871129` Chr`16` : `60,314,656`	0.001	0.999	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.000	0.999	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	0.999	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	0.999	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	0.999	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	0.999	0.000
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.000	0.999	0.000
rs2047937 lBF = `0.174104` Chr`16` : `49,864,791`	0.001	0.999	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	0.999	0.000
rs11643134 lBF = `0.0218302` Chr`16` : `27,242,880`	0.000	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.999	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs153091 lBF = `-0.0606374` Chr`16` : `13,253,956`	0.000	0.999	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.000	0.999	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	0.999	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	0.999	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	0.999	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.999	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	0.999	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	0.999	0.000
rs55760002 lBF = `0.0377663` Chr`16` : `78,938,643`	0.000	0.999	0.000
rs1381102 lBF = `-0.0328893` Chr`16` : `63,955,447`	0.000	0.999	0.000
rs1564981 lBF = `-0.0400606` Chr`16` : `50,986,308`	0.000	0.999	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.000	0.999	0.000
rs4131099 lBF = `-0.0992902` Chr`16` : `51,330,531`	0.000	0.999	0.000
rs6563898 lBF = `-0.136302` Chr`16` : `83,358,776`	0.000	0.999	0.000
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.000	1.000	0.000
rs1867485 lBF = `-0.0966553` Chr`16` : `86,681,031`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.000	1.000	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs7204439 lBF = `-0.00702572` Chr`16` : `661,335`	0.000	1.000	0.000
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.000	1.000	0.000
rs8045253 lBF = `-0.0649985` Chr`16` : `86,437,767`	0.000	1.000	0.000
rs4581712 lBF = `1.08755` Chr`16` : `80,497,601`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.000	1.000	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	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

0.2119

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0916

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0742

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9951

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9910

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9836

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9836

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9713

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9704

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9703

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9593

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9565

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9514

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9496

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9400

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9278

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9251

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9231

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9223

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9218

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9180

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9057

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9013

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8995

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8990

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8866

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8788

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8682

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8677

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8660

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8616

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8602

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8582

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8440

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8417

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8289

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8199

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8185

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8170

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8134

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8011

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7978

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7964

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7930

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7915

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7875

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7870

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7849

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7832

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7829

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7580

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7523

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7515

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7479

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7412

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7392

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7081

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6992

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6815

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6791

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6731

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6525

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6512

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6479

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6465

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6330

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6305

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6302

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6284

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6257

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6169

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6122

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5987

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5942

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5864

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5778

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5677

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5551

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5546

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5394

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5349

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5188

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5026

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4822

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4786

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4500

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4480

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4356

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4271

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4240

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4033

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3910

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3851

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3748

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3633

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3548

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3516

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3469

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3273

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3182

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3099

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3095

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2888

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2879

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2853

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2760

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2725

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2669

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2517

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2445

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2120

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1933

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1904

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1872

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1866

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1844

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1825

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1693

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1619

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1608

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1591

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1552

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1546

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1545

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1454

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1315

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1072

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1039

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1038

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1027

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1005

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0868

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0811

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0791

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0749

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0633

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0560

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0523

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`)