TreeWAS – [O72.0] Third-stage haemorrhage

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`	0.863	0.137	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.751	0.249	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.692	0.308	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.637	0.363	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.591	0.409	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.572	0.428	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.561	0.439	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.557	0.443	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.542	0.458	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.542	0.458	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.532	0.467	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.527	0.473	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.525	0.475	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.522	0.478	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.516	0.484	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.491	0.509
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.506	0.493	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.501	0.499
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.473	0.527	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.467	0.533	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.466	0.533	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.466	0.534	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.460	0.540	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.459	0.540	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.459	0.541	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.457	0.542	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.452	0.548	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.451	0.549	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.450	0.550	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.450	0.550	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.434	0.566	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.429	0.571	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.389	0.611	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.388	0.612	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.386	0.614	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.384	0.615	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.374	0.626	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.367	0.633	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.367	0.633	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.363	0.637	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.359	0.641	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.356	0.644	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.348	0.652	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.347	0.653	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.344	0.655	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.344	0.655	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.332	0.668	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.328	0.672	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.325	0.675	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.324	0.676	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.316	0.684	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.314	0.685	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.282	0.718	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.280	0.719	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.278	0.722	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.277	0.722	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.272	0.727	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.268	0.732	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.266	0.734	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.266	0.734	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.262	0.737	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.260	0.739	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.260	0.739	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.260	0.740	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.259	0.741	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.249	0.751	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.237	0.762	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.233	0.766	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.229	0.770	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.220	0.779	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.219	0.780	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.210	0.790	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.202	0.798	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.199	0.801	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.198	0.802	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.195	0.805	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.194	0.805	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.192	0.808	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.183	0.816	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.182	0.818	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.181	0.818	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.176	0.823	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.168	0.832	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.167	0.833	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.165	0.835	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.163	0.836	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.156	0.844	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.151	0.849	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.148	0.851	0.001
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.146	0.853	0.001
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.136	0.864	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.128	0.871	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.126	0.873	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.126	0.873	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.117	0.883	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.115	0.884	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.000	0.888	0.112
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.108	0.892	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.090	0.909	0.001
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.076	0.924	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.926	0.074
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.071	0.928	0.001
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.071	0.929	0.001
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.071	0.929	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.069	0.931	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.061	0.939	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.057	0.943	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.056	0.943	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.055	0.945	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.054	0.946	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.051	0.949	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.049	0.950	0.001
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.048	0.952	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.048	0.952	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.046	0.954	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.045	0.955	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.043	0.957	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.041	0.958	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.041	0.959	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.041	0.959	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.039	0.961	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.038	0.962	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.037	0.962	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.036	0.963	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.036	0.964	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.965	0.035
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.034	0.966	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.034	0.966	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.033	0.967	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.031	0.969	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.031	0.969	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.030	0.970	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.030	0.970	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.029	0.971	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	0.972	0.028
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.027	0.973	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.026	0.973	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.025	0.975	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.024	0.976	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.022	0.977	0.001
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.023	0.977	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.021	0.979	0.001
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.020	0.980	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.020	0.980	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.020	0.980	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.019	0.980	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.018	0.981	0.001
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.019	0.981	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.016	0.983	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.016	0.984	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.016	0.984	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.016	0.984	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.013	0.986	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.013	0.987	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.013	0.987	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.013	0.987	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.012	0.988	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.012	0.988	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.012	0.988	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.011	0.989	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.011	0.989	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.011	0.989	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.001	0.990	0.009
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.010	0.990	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.009	0.991	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.009	0.991	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.008	0.992	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.008	0.992	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.007	0.993	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	0.993	0.007
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.006	0.994	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.006	0.994	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.006	0.994	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.006	0.994	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.005	0.995	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	0.995	0.005
rs2656620 lBF = `-0.0830656` Chr`16` : `78,913,387`	0.005	0.995	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.004	0.996	0.000
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	0.996	0.004
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.996	0.004
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.004	0.996	0.000
rs8057551 lBF = `0.109268` Chr`16` : `27,434,927`	0.004	0.996	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.004	0.996	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.004	0.996	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.004	0.996	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	0.996	0.003
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.003	0.997	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.003	0.997	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.003	0.997	0.001
rs16944158 lBF = `-0.0260663` Chr`16` : `49,652,779`	0.000	0.997	0.003
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.003	0.997	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.003	0.997	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.003	0.997	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.003	0.997	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.997	0.000
rs870288 lBF = `-0.0775093` Chr`16` : `5,585,852`	0.000	0.997	0.003
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.003	0.997	0.000
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rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.001	0.999	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.001	0.999	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	0.999	0.001
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.001	0.999	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.000	0.999	0.001
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	0.999	0.001
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	0.999	0.001
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.999	0.001
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.001	0.999	0.000
rs17668704 lBF = `-0.0331721` Chr`16` : `72,257,699`	0.000	0.999	0.001
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.001	0.999	0.000
rs12051443 lBF = `0.284452` Chr`16` : `71,691,329`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	0.999	0.001
rs821470 lBF = `-0.01652` Chr`16` : `57,058,582`	0.000	0.999	0.001
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	0.999	0.001
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	0.999	0.001
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.000	0.999	0.001
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.001	0.999	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.000	0.999	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	0.999	0.001
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	0.999	0.001
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	0.999	0.000
rs1532624 lBF = `0.283711` Chr`16` : `57,005,479`	0.000	0.999	0.001
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.001	0.999	0.000
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.001	0.999	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	0.999	0.000
rs11866781 lBF = `-0.107466` Chr`16` : `7,139,173`	0.001	0.999	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.001	0.999	0.000
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.000	0.999	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	0.999	0.000
rs2639889 lBF = `-0.0253793` Chr`16` : `61,123,147`	0.000	0.999	0.001
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	0.999	0.001
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	0.999	0.001
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	0.999	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	0.999	0.001
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	0.999	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	0.999	0.001
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.000	0.999	0.001
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.000	0.999	0.001
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.001	0.999	0.000
rs2863979 lBF = `0.545064` Chr`16` : `68,331,890`	0.000	0.999	0.001
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.000	0.999	0.001
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs737008 lBF = `-0.028452` Chr`16` : `11,374,866`	0.000	0.999	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.000	0.999	0.001
rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	0.999	0.001
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	0.999	0.001
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.001	0.999	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	0.999	0.001
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.001	0.999	0.000
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.001	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	0.999	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs71386933 lBF = `-0.0153866` Chr`16` : `71,821,800`	0.000	0.999	0.001
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	0.999	0.001
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.001	0.999	0.000
rs2066842 lBF = `6.51175` Chr`16` : `50,744,624`	0.000	0.999	0.001
rs3112740 lBF = `0.076717` Chr`16` : `7,836,297`	0.000	0.999	0.001
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs386965 lBF = `-0.0757266` Chr`16` : `79,652,541`	0.001	0.999	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.001	0.999	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.001	0.999	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	0.999	0.001
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	0.999	0.000
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.000	0.999	0.001
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	0.999	0.001
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.000	0.999	0.001
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.001	0.999	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	0.999	0.000
rs8049367 lBF = `-0.073433` Chr`16` : `3,980,445`	0.001	0.999	0.000
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.001	0.999	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.000	0.999	0.001
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	0.999	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	0.999	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs13329835 lBF = `-0.0402402` Chr`16` : `80,650,805`	0.000	0.999	0.001
rs4081947 lBF = `-0.057193` Chr`16` : `87,579,870`	0.001	0.999	0.000
rs8045334 lBF = `-0.084085` Chr`16` : `63,573,376`	0.001	0.999	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	0.999	0.000
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.000	0.999	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.000	0.999	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	0.999	0.000
rs11508026 lBF = `0.125383` Chr`16` : `56,999,328`	0.000	0.999	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	0.999	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	0.999	0.000
rs8044477 lBF = `-0.0147133` Chr`16` : `58,976,591`	0.001	0.999	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	0.999	0.000
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.001	0.999	0.000
rs11861787 lBF = `-0.0554163` Chr`16` : `8,517,745`	0.000	0.999	0.001
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	0.999	0.000
rs7191751 lBF = `-0.067992` Chr`16` : `86,304,261`	0.000	0.999	0.000
rs17111 lBF = `9.12903` Chr`16` : `84,857,244`	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.5981

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5088

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9994

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9937

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9935

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9909

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9810

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9736

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9709

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9688

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9515

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9489

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9414

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9364

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9030

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8975

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8959

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8856

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8824

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8651

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8599

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8566

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8532

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8398

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8268

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8182

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7927

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7832

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7821

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7778

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7777

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7703

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7660

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7632

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7602

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7517

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7500

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7473

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7402

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7401

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7370

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7304

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7264

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7089

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7003

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6962

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6957

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6905

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6798

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6798

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6759

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6755

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6730

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6533

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6466

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6424

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6348

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6247

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6198

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6132

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.6124

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6052

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6037

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5981

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5964

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5729

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5693

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5608

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5505

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5341

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5312

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5310

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5064

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5053

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5039

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4901

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4853

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4519

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4389

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4343

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4302

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4238

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4224

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4182

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4175

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4142

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4134

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4095

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4008

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3943

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3941

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3875

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3790

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3732

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3601

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3577

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3475

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3352

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3270

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3098

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3074

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3056

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2939

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2897

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2656

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2643

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2433

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2283

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2195

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2099

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2076

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2065

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1938

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1888

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1870

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1858

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1675

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1648

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1543

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1481

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1480

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1447

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1368

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1328

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1298

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1297

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1295

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1280

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1137

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1085

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1037

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0923

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0864

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0857

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0771

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0747

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0729

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0704

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0650

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0644

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0616

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0608

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0566

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0549

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0530

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`)