TreeWAS – [O43.8] Other placental disorders

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
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.662	0.338	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.651	0.349	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.638	0.362	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.607	0.393	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.598	0.402	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.593	0.407	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.573	0.427	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.571	0.429	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.569	0.431	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.560	0.440	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.546	0.454	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.544	0.456	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.539	0.461	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.534	0.466	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.533	0.467	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.513	0.487	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.510	0.490	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.506	0.494	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.504	0.496	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.497	0.502	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.489	0.511	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.485	0.514	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.484	0.516	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.480	0.520	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.478	0.522	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.476	0.524	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.475	0.524	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.473	0.526	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.473	0.527	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.461	0.538	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.460	0.540	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.450	0.550	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.450	0.550	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.448	0.551	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.444	0.556	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.439	0.560	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.436	0.564	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.430	0.570	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.427	0.573	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.424	0.576	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.419	0.581	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.418	0.582	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.413	0.587	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.397	0.603	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.392	0.607	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.388	0.612	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.381	0.619	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.378	0.622	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.363	0.636	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.347	0.652	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.344	0.656	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.340	0.660	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.334	0.666	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.332	0.667	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.675	0.325
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.317	0.682	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.313	0.686	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.308	0.691	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.307	0.693	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.300	0.700	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.296	0.704	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.295	0.705	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.290	0.710	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.278	0.722	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.276	0.724	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.276	0.724	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.272	0.728	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.272	0.728	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.269	0.730	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.258	0.742	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.253	0.747	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.253	0.747	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.246	0.754	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.238	0.762	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.227	0.772	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.226	0.774	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.225	0.775	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.222	0.778	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.207	0.793	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.206	0.794	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.204	0.795	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.204	0.796	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.202	0.798	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.200	0.800	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.194	0.805	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.195	0.805	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.806	0.194
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.189	0.810	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.180	0.820	0.001
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.180	0.820	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.179	0.820	0.001
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.177	0.822	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.176	0.824	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.174	0.826	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.173	0.827	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.170	0.830	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.162	0.838	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.159	0.841	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.158	0.841	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.152	0.848	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.151	0.849	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.147	0.853	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.139	0.861	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.138	0.862	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.138	0.862	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.131	0.869	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.128	0.872	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.121	0.879	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.119	0.880	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.117	0.883	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.115	0.884	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.114	0.885	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.113	0.887	0.000
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.099	0.901	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.097	0.903	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.093	0.907	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.090	0.910	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.085	0.914	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.082	0.917	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.078	0.922	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.077	0.923	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.074	0.926	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.068	0.931	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.932	0.068
rs10514604 lBF = `-0.0138753` Chr`16` : `84,446,384`	0.067	0.933	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.066	0.934	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.061	0.939	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.058	0.942	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.056	0.944	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.056	0.944	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.000	0.945	0.055
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.054	0.945	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.052	0.947	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.051	0.948	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.051	0.949	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.050	0.950	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.046	0.954	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.044	0.956	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.043	0.957	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	0.957	0.043
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.042	0.957	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.041	0.958	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.041	0.958	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.041	0.959	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.040	0.959	0.001
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.039	0.960	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.038	0.961	0.001
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.030	0.969	0.001
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.029	0.971	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.027	0.972	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.025	0.974	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.023	0.976	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.022	0.978	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.022	0.978	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.021	0.979	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.019	0.980	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.019	0.981	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.019	0.981	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.019	0.981	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.018	0.982	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.017	0.983	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.017	0.983	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.016	0.984	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.015	0.984	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.015	0.985	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.013	0.986	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.013	0.987	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.012	0.987	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.001	0.987	0.012
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.012	0.987	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.012	0.988	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.010	0.989	0.001
rs2193094 lBF = `13.5255` Chr`16` : `52,566,454`	0.010	0.990	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.009	0.991	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	0.991	0.009
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.008	0.991	0.000
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	0.992	0.008
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.008	0.992	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.008	0.992	0.000
rs9931232 lBF = `13.6644` Chr`16` : `52,572,832`	0.008	0.992	0.000
rs194045 lBF = `-0.0083126` Chr`16` : `29,246,102`	0.007	0.993	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.007	0.993	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.006	0.994	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.006	0.994	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.006	0.994	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	0.994	0.006
rs6498114 lBF = `-0.07854` Chr`16` : `10,964,118`	0.006	0.994	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.005	0.995	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.005	0.995	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.005	0.995	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.004	0.995	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.005	0.995	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.005	0.995	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	0.995	0.005
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.003	0.996	0.001
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.004	0.996	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.004	0.996	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.004	0.996	0.000
rs12446956 lBF = `-0.0439052` Chr`16` : `73,501,536`	0.003	0.996	0.000
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rs4783227 lBF = `-0.0785829` Chr`16` : `82,594,383`	0.000	0.999	0.001
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	0.999	0.001
rs12709013 lBF = `-0.0457289` Chr`16` : `58,829,790`	0.001	0.999	0.000
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.001	0.999	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.001	0.999	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.001	0.999	0.000
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.001	0.999	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.001	0.999	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.001	0.999	0.000
rs7192086 lBF = `0.0104938` Chr`16` : `13,061,611`	0.000	0.999	0.001
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs16946931 lBF = `-0.0440075` Chr`16` : `49,142,506`	0.001	0.999	0.000
rs12446940 lBF = `-0.0678355` Chr`16` : `3,962,620`	0.001	0.999	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.001	0.999	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.000	0.999	0.001
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	0.001	0.999	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	0.999	0.001
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.001	0.999	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.001	0.999	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.001	0.999	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.001	0.999	0.000
rs6497441 lBF = `0.233259` Chr`16` : `9,829,848`	0.001	0.999	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.001	0.999	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.000	0.999	0.001
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.001	0.999	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.001	0.999	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	0.999	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.000	0.999	0.001
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.001	0.999	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.001	0.999	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	0.999	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	0.999	0.001
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.001	0.999	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.001	0.999	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	0.999	0.001
rs26528 lBF = `0.611624` Chr`16` : `28,517,709`	0.001	0.999	0.000
rs12445568 lBF = `0.111174` Chr`16` : `31,004,812`	0.000	0.999	0.001
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	0.999	0.001
rs1478693 lBF = `0.0331999` Chr`16` : `7,164,219`	0.000	0.999	0.001
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.000	0.999	0.001
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	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	0.001
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.001	0.999	0.000
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.001	0.999	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.000	0.999	0.001
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.001	0.999	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.001	0.999	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.001	0.999	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.001	0.999	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	0.999	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	0.999	0.001
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.000
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.000	0.999	0.001
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs2334880 lBF = `-0.0266701` Chr`16` : `71,653,637`	0.000	0.999	0.001
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	0.999	0.001
rs173539 lBF = `-0.0448946` Chr`16` : `56,988,044`	0.001	0.999	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	0.999	0.001
rs12444268 lBF = `-0.0736532` Chr`16` : `20,342,572`	0.001	0.999	0.000
rs9932186 lBF = `-0.0871129` Chr`16` : `60,314,656`	0.001	0.999	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	0.001	0.999	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.001	0.999	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	0.001	0.999	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	0.001	0.999	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.001	0.999	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.001	0.999	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.001	0.999	0.000
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.001	0.999	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.000	0.999	0.001
rs4780355 lBF = `0.183442` Chr`16` : `11,347,858`	0.000	0.999	0.001
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.000	0.999	0.001
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	0.999	0.001
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.001	0.999	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.000	0.999	0.001
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	0.999	0.001
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.001	0.999	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.001	0.999	0.000
rs1801275 lBF = `-0.0517617` Chr`16` : `27,374,400`	0.000	0.999	0.001
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	0.999	0.000
rs77150043 lBF = `-0.0685973` Chr`16` : `50,304,249`	0.000	0.999	0.001
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.001	0.999	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.001	0.999	0.000
rs7188697 lBF = `0.364534` Chr`16` : `58,622,178`	0.000	0.999	0.001
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.001	0.999	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.001	0.999	0.000
rs9940536 lBF = `-0.0752707` Chr`16` : `79,155,917`	0.001	0.999	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	0.999	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	0.001	0.999	0.000
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.001	0.999	0.000
rs249954 lBF = `0.435359` Chr`16` : `23,640,467`	0.001	0.999	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.000	0.999	0.001
rs2608200 lBF = `0.026111` Chr`16` : `20,122,290`	0.000	0.999	0.001

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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.9795

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3249

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9740

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9724

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9716

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9700

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9663

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9624

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9610

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9590

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9547

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9494

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9257

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9247

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9177

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9075

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9074

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9043

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9041

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8996

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8983

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8968

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8958

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8944

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8941

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8843

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8834

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8743

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8676

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8560

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8528

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8510

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8408

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8394

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8311

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8300

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8241

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8225

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8211

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8184

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8145

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8139

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8053

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8007

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7995

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7986

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7900

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7893

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7851

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7845

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7830

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7827

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7827

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7695

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7680

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7662

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7637

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7604

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7568

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7465

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7464

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7451

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7388

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7382

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7345

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7330

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7291

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7280

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7211

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7189

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7185

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7184

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7141

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7004

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6980

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6974

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6967

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6915

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6912

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6908

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6845

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6796

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6769

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6768

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6762

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6623

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6622

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6410

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6378

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6358

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6330

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6242

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6233

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6197

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6195

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6154

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6091

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6070

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6024

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5972

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5915

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5899

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5870

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5783

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5750

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5716

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5693

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5683

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5526

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5487

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5473

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5473

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5405

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5292

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5214

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5194

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5139

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5107

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5088

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5013

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4985

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4954

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4947

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4904

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4892

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4836

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4819

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4736

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4705

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4675

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4578

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4576

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4477

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4475

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4471

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4444

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4269

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4230

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4119

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3821

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3740

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3723

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3486

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3396

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3382

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3325

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3073

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3040

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2947

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2894

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2862

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2629

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2177

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2129

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2069

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1955

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1753

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1630

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1572

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1247

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1247

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1201

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1190

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1177

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1088

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1081

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0969

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0928

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0923

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0874

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0747

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0720

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0605

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0518

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0513

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`)