TreeWAS – [Z34.0] Supervision of normal first pregnancy

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
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.722	0.278	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.700	0.300	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.680	0.320	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.639	0.361	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.527	0.473	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.524	0.476	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.511	0.489	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.510	0.490	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.482	0.518	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.465	0.535	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.459	0.541	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.454	0.545	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.453	0.547	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.448	0.552	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.439	0.561	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.429	0.570	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.427	0.572	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.422	0.578	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.421	0.579	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.420	0.580	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.414	0.586	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.405	0.595	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.403	0.597	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.393	0.607	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.393	0.607	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.385	0.615	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.377	0.623	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.375	0.624	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.374	0.626	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.371	0.629	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.371	0.629	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.368	0.631	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.354	0.646	0.000
rs2059238 lBF = `0.248767` Chr`16` : `78,258,810`	0.000	0.649	0.351
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.342	0.658	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.341	0.659	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.339	0.661	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.331	0.669	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.329	0.671	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.319	0.681	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.317	0.682	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.312	0.687	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.312	0.687	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.312	0.688	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.298	0.702	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.294	0.706	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.290	0.710	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.287	0.712	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.281	0.719	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.273	0.727	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.270	0.730	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.268	0.731	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.261	0.738	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.259	0.741	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.257	0.743	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.251	0.749	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.244	0.756	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.241	0.759	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.239	0.761	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.231	0.769	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.212	0.788	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.211	0.789	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.201	0.799	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.200	0.800	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.195	0.805	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.195	0.805	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.193	0.807	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.809	0.191
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.190	0.810	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.182	0.817	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.180	0.820	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.177	0.823	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.161	0.839	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`	0.156	0.843	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.145	0.855	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.136	0.863	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.132	0.867	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.130	0.870	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.117	0.882	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.115	0.885	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.115	0.885	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.112	0.888	0.001
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.110	0.890	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.109	0.891	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.107	0.891	0.002
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.108	0.892	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.100	0.900	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.098	0.901	0.001
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.092	0.908	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.090	0.910	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.085	0.915	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.071	0.928	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.070	0.930	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.067	0.933	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.063	0.937	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.063	0.937	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.063	0.937	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.059	0.940	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	0.946	0.054
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.053	0.947	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.050	0.950	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.048	0.952	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.047	0.952	0.001
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.046	0.953	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.044	0.955	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.044	0.956	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.042	0.958	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.039	0.961	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.038	0.962	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.037	0.963	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.033	0.967	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.030	0.969	0.001
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.030	0.970	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.028	0.972	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.024	0.976	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.024	0.976	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.024	0.976	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.023	0.977	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.023	0.977	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.023	0.977	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.020	0.980	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.019	0.981	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.019	0.981	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.019	0.981	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.981	0.019
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.018	0.981	0.001
rs8044853 lBF = `0.105468` Chr`16` : `81,457,659`	0.018	0.982	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.017	0.983	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	0.983	0.017
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.016	0.984	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.984	0.016
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.014	0.985	0.001
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.014	0.986	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.013	0.987	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.010	0.989	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	0.990	0.010
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.010	0.990	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.010	0.990	0.000
rs12927162 lBF = `-0.046225` Chr`16` : `52,684,916`	0.009	0.991	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.009	0.991	0.000
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.000	0.991	0.009
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.008	0.992	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.008	0.992	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.008	0.992	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.007	0.992	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.007	0.993	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.006	0.993	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
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.005	0.994	0.000
rs350245 lBF = `-0.0808621` Chr`16` : `12,200,115`	0.000	0.994	0.006
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.005	0.994	0.000
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.006	0.994	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	0.995	0.005
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.995	0.005
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.005	0.995	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.004	0.995	0.001
rs12446956 lBF = `-0.0439052` Chr`16` : `73,501,536`	0.005	0.995	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.004	0.996	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.004	0.996	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.001	0.996	0.003
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.003	0.996	0.001
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.003	0.996	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.003	0.996	0.001
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.002	0.997	0.001
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.003	0.997	0.000
rs1962636 lBF = `-0.0196444` Chr`16` : `22,064,395`	0.003	0.997	0.000
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.003	0.997	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.002	0.997	0.001
rs10514550 lBF = `0.0287587` Chr`16` : `82,703,845`	0.003	0.997	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.003	0.997	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.002	0.997	0.000
rs4784934 lBF = `0.0912296` Chr`16` : `58,459,926`	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
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.002	0.998	0.001
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.002	0.998	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.002	0.998	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.001	0.998	0.001
rs3813009 lBF = `-0.0491261` Chr`16` : `81,960,958`	0.000	0.998	0.002
rs7405404 lBF = `-0.0111953` Chr`16` : `13,749,859`	0.000	0.998	0.002
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.998	0.000
rs4349147 lBF = `0.0786613` Chr`16` : `3,124,920`	0.000	0.998	0.002
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.000	0.998	0.002
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.998	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.002	0.998	0.000
rs3784943 lBF = `-0.0568387` Chr`16` : `83,712,435`	0.002	0.998	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.002	0.998	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	0.998	0.002
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.002	0.998	0.000
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
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.000	0.998	0.002
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	0.998	0.002
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.002	0.998	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.001	0.998	0.000
rs1867485 lBF = `-0.0966553` Chr`16` : `86,681,031`	0.000	0.998	0.002
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.999	0.001
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
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rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.000	0.999	0.001
rs8192935 lBF = `-0.0293905` Chr`16` : `55,861,794`	0.001	0.999	0.000
rs12917712 lBF = `-0.0484169` Chr`16` : `29,882,490`	0.000	0.999	0.001
rs4787484 lBF = `-0.0491076` Chr`16` : `29,906,546`	0.000	0.999	0.001
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.001	0.999	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.001	0.999	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.000	0.999	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.001	0.999	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	0.999	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.001	0.999	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
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
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs16946931 lBF = `-0.0440075` Chr`16` : `49,142,506`	0.000	0.999	0.001
rs17214007 lBF = `-0.0640851` Chr`16` : `15,883,490`	0.001	0.999	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.001	0.999	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	0.999	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.000	0.999	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.001	0.999	0.000
rs26868 lBF = `-0.0569542` Chr`16` : `2,249,376`	0.001	0.999	0.000
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.000	0.999	0.001
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.001	0.999	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	0.999	0.001
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	0.999	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.001	0.999	0.000
rs12921479 lBF = `0.0503565` Chr`16` : `88,929,207`	0.000	0.999	0.001
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	0.999	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.001	0.999	0.000
rs6563898 lBF = `-0.136302` Chr`16` : `83,358,776`	0.001	0.999	0.000
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.000	0.999	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	0.999	0.000
rs12691307 lBF = `0.0239576` Chr`16` : `29,939,877`	0.001	0.999	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	0.999	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.000	0.999	0.000
rs1345467 lBF = `-0.0451933` Chr`16` : `51,482,321`	0.001	0.999	0.000
rs8046018 lBF = `8.23507` Chr`16` : `88,719,980`	0.000	0.999	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.001	0.999	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	0.999	0.000
rs1728785 lBF = `0.341439` Chr`16` : `68,591,230`	0.000	0.999	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	0.999	0.000
rs37060 lBF = `0.232265` Chr`16` : `58,566,304`	0.000	0.999	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	0.999	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	0.999	0.000
rs11076175 lBF = `0.0104004` Chr`16` : `57,006,378`	0.000	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	0.999	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	0.999	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	0.999	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	0.999	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	0.999	0.000
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	0.000	0.999	0.000
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.000	0.999	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	0.999	0.000
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	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
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	0.999	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	0.999	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.999	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.999	0.000
rs12928939 lBF = `-0.0426123` Chr`16` : `71,800,045`	0.000	0.999	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	1.000	0.000
rs3803680 lBF = `16.4381` Chr`16` : `89,590,243`	0.000	1.000	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	1.000	0.000
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs12919130 lBF = `-0.0200803` Chr`16` : `20,126,974`	0.000	1.000	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs198160 lBF = `-0.0413913` Chr`16` : `24,240,725`	0.000	1.000	0.000
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs424971 lBF = `-0.126894` Chr`16` : `85,946,450`	0.000	1.000	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs57374020 lBF = `10.9383` Chr`16` : `88,847,523`	0.000	1.000	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	1.000	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	1.000	0.000
rs1532624 lBF = `0.283711` Chr`16` : `57,005,479`	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

0.1911

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.0776

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0731

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0687

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9784

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9755

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9715

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9626

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9436

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9303

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9206

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9102

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9013

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8971

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8838

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8790

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8745

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8572

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8539

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8460

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8390

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8370

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8213

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8176

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7990

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7809

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7773

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7740

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7728

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7509

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7485

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7449

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7423

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7216

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7201

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7121

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6975

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6937

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6821

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6796

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6784

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6755

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6697

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6665

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6632

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6398

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6366

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6315

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6272

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6117

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5993

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5763

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5739

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5669

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5666

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5485

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5471

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5040

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5034

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4988

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4819

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4706

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4678

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4624

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4614

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4568

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4529

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4324

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4290

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4187

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4088

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4018

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3956

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3876

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3850

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3815

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3778

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3679

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3559

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3500

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3221

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3152

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3098

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3091

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3079

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2991

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2918

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2899

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2862

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2861

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2727

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2673

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2559

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2456

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2258

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2224

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2069

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2023

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1858

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1839

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1831

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1772

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1745

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1733

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1649

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1644

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1635

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1507

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1447

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1439

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1412

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1200

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1185

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1163

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1076

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0960

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0931

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0903

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0885

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0838

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0739

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0736

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0718

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0704

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0687

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0671

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0667

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0612

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0565

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0555

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0524

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0512

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`)