TreeWAS – [Z31.8] Other procreative management

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
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.570	0.429	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.515	0.484	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.504	0.496	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.501	0.499	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.500	0.500	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.499	0.501	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.460	0.540	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.452	0.548	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.452	0.548	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.451	0.549	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.446	0.554	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.434	0.566	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.432	0.567	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.432	0.568	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.429	0.570	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.419	0.581	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.416	0.583	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.408	0.591	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.407	0.593	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.398	0.601	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.390	0.610	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.379	0.621	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.376	0.623	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.374	0.626	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.373	0.627	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.370	0.630	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.365	0.634	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.364	0.636	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.361	0.638	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.361	0.638	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.360	0.640	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.358	0.641	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.355	0.645	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.350	0.650	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.349	0.651	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.346	0.654	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.343	0.657	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.342	0.658	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.339	0.661	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.336	0.664	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.333	0.667	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.327	0.673	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.317	0.683	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.313	0.687	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.311	0.689	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.296	0.703	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.295	0.704	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.292	0.707	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.290	0.710	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.288	0.712	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.284	0.716	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.278	0.722	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.276	0.723	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.273	0.727	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.272	0.728	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.270	0.730	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.264	0.736	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.261	0.738	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.258	0.741	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.252	0.748	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.242	0.758	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.240	0.760	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.220	0.780	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.214	0.786	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.205	0.795	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.203	0.797	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.195	0.805	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.189	0.811	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.813	0.187
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.184	0.816	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.180	0.819	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.177	0.823	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.176	0.824	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.165	0.835	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.163	0.836	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.157	0.843	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.157	0.843	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.152	0.848	0.001
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.145	0.854	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.145	0.855	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.123	0.877	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.118	0.882	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.114	0.885	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.114	0.886	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.112	0.888	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.110	0.890	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.107	0.893	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.099	0.898	0.003
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.099	0.901	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.098	0.902	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.094	0.905	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.092	0.908	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.087	0.913	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`	0.082	0.918	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.081	0.918	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.075	0.925	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.069	0.930	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.069	0.931	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.936	0.064
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.063	0.937	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.050	0.950	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.048	0.952	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.047	0.952	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.044	0.955	0.001
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.043	0.957	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.040	0.960	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.039	0.960	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.039	0.961	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.038	0.962	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.036	0.963	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.035	0.965	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.031	0.969	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.030	0.969	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.030	0.970	0.001
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.030	0.970	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.030	0.970	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.029	0.971	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.028	0.972	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.027	0.972	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.027	0.973	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.026	0.973	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.026	0.974	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.025	0.975	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.024	0.976	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.021	0.979	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.021	0.979	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.018	0.982	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.001	0.983	0.016
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.015	0.984	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.014	0.986	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.013	0.986	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.012	0.988	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.010	0.989	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.010	0.990	0.000
rs3803680 lBF = `16.4381` Chr`16` : `89,590,243`	0.010	0.990	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.010	0.990	0.000
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.010	0.990	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.009	0.991	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.009	0.991	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.009	0.991	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
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.008	0.992	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.007	0.993	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.993	0.007
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.007	0.993	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.006	0.993	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.006	0.993	0.001
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.006	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.006	0.994	0.001
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.005	0.994	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.005	0.995	0.000
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.005	0.995	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.005	0.995	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.005	0.995	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.005	0.995	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.004	0.995	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.005	0.995	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	0.996	0.004
rs7186128 lBF = `0.0257583` Chr`16` : `16,957,915`	0.004	0.996	0.000
rs62070320 lBF = `15.294` Chr`16` : `89,573,689`	0.004	0.996	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.004	0.996	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.003	0.996	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.004	0.996	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.003	0.996	0.000
rs198160 lBF = `-0.0413913` Chr`16` : `24,240,725`	0.004	0.996	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.996	0.003
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.001	0.997	0.002
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.002	0.997	0.001
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.000	0.997	0.003
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.003	0.997	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.003	0.997	0.000
rs12599402 lBF = `1.41689` Chr`16` : `11,189,888`	0.002	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
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.002	0.998	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.002	0.998	0.000
rs12716850 lBF = `0.064756` Chr`16` : `78,187,903`	0.002	0.998	0.000
rs11074683 lBF = `0.0333802` Chr`16` : `10,349,893`	0.000	0.998	0.002
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.002	0.998	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.002	0.998	0.000
rs4888262 lBF = `-0.0746425` Chr`16` : `74,670,458`	0.002	0.998	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.002	0.998	0.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.002	0.998	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	0.998	0.002
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.002	0.998	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.998	0.000
rs62026376 lBF = `7.97252` Chr`16` : `11,228,712`	0.002	0.998	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.998	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.998	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	0.998	0.002
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs7404095 lBF = `-0.0575876` Chr`16` : `23,864,590`	0.000	0.998	0.002
rs12149074 lBF = `0.0293647` Chr`16` : `80,105,866`	0.000	0.998	0.002
rs1079572 lBF = `-0.0273694` Chr`16` : `78,187,138`	0.002	0.998	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.002	0.998	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	0.998	0.001
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rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.000	0.999	0.001
rs3813009 lBF = `-0.0491261` Chr`16` : `81,960,958`	0.000	0.999	0.000
rs2444217 lBF = `-0.0820759` Chr`16` : `4,038,387`	0.000	0.999	0.001
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.001	0.999	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	0.999	0.000
rs11075747 lBF = `5.5427` Chr`16` : `69,940,361`	0.001	0.999	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	0.999	0.000
rs2062541 lBF = `0.12448` Chr`16` : `16,127,235`	0.000	0.999	0.001
rs8044853 lBF = `0.105468` Chr`16` : `81,457,659`	0.000	0.999	0.000
rs4349147 lBF = `0.0786613` Chr`16` : `3,124,920`	0.001	0.999	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	0.999	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.999	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.000
rs1345467 lBF = `-0.0451933` Chr`16` : `51,482,321`	0.000	0.999	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.001	0.999	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	0.999	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.001	0.999	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	0.999	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	0.999	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.999	0.001
rs2193094 lBF = `13.5255` Chr`16` : `52,566,454`	0.000	0.999	0.001
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	0.999	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.001	0.999	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	0.999	0.001
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.000	0.999	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	0.999	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	0.999	0.000
rs12930096 lBF = `-0.0558097` Chr`16` : `11,670,758`	0.001	0.999	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.000	0.999	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	0.999	0.000
rs11642231 lBF = `17.8952` Chr`16` : `89,608,702`	0.000	0.999	0.001
rs4785687 lBF = `16.855` Chr`16` : `89,588,896`	0.000	0.999	0.001
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.999	0.001
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.000	0.999	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.001	0.999	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	0.999	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	0.999	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	0.999	0.000
rs8061121 lBF = `-0.0602714` Chr`16` : `87,193,084`	0.000	0.999	0.001
rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	0.999	0.000
rs377457 lBF = `-0.0788817` Chr`16` : `85,735,652`	0.000	0.999	0.001
rs350245 lBF = `-0.0808621` Chr`16` : `12,200,115`	0.000	0.999	0.000
rs2656620 lBF = `-0.0830656` Chr`16` : `78,913,387`	0.001	0.999	0.000
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.000	0.999	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	0.999	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.000	0.999	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	0.000	0.999	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.000	0.999	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.000	0.999	0.000
rs12449000 lBF = `0.335235` Chr`16` : `89,872,970`	0.000	0.999	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	0.999	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	0.999	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	0.999	0.000
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.001	0.999	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	0.000	0.999	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.000	0.999	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	0.999	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	0.999	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	0.999	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	0.000	0.999	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	0.000	0.999	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.000	0.999	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.000	0.999	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	0.000	0.999	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.000	0.999	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	0.999	0.000
rs34753377 lBF = `17.0207` Chr`16` : `89,609,418`	0.000	0.999	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	0.999	0.000
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.000	0.999	0.000
rs12444931 lBF = `1.20963` Chr`16` : `7,753,704`	0.000	0.999	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	0.999	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.000	0.999	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	0.999	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	0.999	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	0.999	0.000
rs4888873 lBF = `0.0198001` Chr`16` : `78,937,138`	0.000	0.999	0.000
rs62038064 lBF = `0.018332` Chr`16` : `78,937,752`	0.000	0.999	0.000
rs59626546 lBF = `0.0169238` Chr`16` : `78,938,589`	0.000	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
rs12931939 lBF = `0.00334916` Chr`16` : `20,060,830`	0.000	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	0.999	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	0.999	0.000
rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.000	0.999	0.000
rs1129700 lBF = `-0.0586406` Chr`16` : `29,918,034`	0.000	0.999	0.001
rs17214007 lBF = `-0.0640851` Chr`16` : `15,883,490`	0.000	0.999	0.000
rs55637647 lBF = `-0.092831` Chr`16` : `88,549,264`	0.000	0.999	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.000	0.999	0.000
rs444881 lBF = `0.289729` Chr`16` : `83,771,496`	0.000	0.999	0.000
rs2326458 lBF = `0.0517866` Chr`16` : `84,987,679`	0.000	0.999	0.000
rs10521115 lBF = `0.049886` Chr`16` : `20,090,645`	0.000	0.999	0.000
rs12926729 lBF = `0.0441419` Chr`16` : `20,100,370`	0.000	0.999	0.000
rs11642377 lBF = `0.0413304` Chr`16` : `20,109,653`	0.000	0.999	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1871

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1061

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0700

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8374

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7427

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7129

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7111

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7105

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7101

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7031

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7022

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7018

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7011

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6987

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6971

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6969

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6965

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6953

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6950

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6941

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6921

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6907

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6889

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6863

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6846

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6826

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6813

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6803

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6780

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6749

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6745

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6725

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6708

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6612

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6609

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6603

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6575

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6562

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6523

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6509

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6488

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6484

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6457

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6439

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6416

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6411

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6360

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6357

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6343

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6316

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6204

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6202

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6189

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6115

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6106

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6063

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6023

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6021

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6018

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5924

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5915

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5908

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5901

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5889

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5884

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5855

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5842

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5809

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5785

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5785

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5774

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5729

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5724

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5694

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5691

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5661

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5650

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5605

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5528

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5489

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5455

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5447

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5425

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5421

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5409

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5341

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5316

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5312

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5311

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5263

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5208

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5189

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5153

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5121

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5052

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5030

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4967

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4931

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4917

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4913

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4828

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4810

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4809

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4640

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4579

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4558

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4249

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4241

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4213

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4088

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4016

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3925

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3716

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3676

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3674

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3660

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3646

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3579

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3412

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3260

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3200

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2995

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2975

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2953

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2940

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2846

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2757

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2749

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2714

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2687

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2639

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2603

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2566

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2439

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2383

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2370

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2294

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2276

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2259

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2094

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1996

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1869

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1824

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1804

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1762

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1723

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1708

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1592

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1550

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1293

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1225

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1127

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1117

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1038

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0959

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0673

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0623

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0554

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0509

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0502

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`)