TreeWAS – [O03.6] Complete or unspecified, complicated by delayed or excessive 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
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.651	0.349	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.637	0.363	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.633	0.366	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.565	0.435	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.536	0.464	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.534	0.466	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.527	0.473	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.495	0.504	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.485	0.514	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.456	0.544	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.446	0.554	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.439	0.560	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.433	0.567	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.430	0.569	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.424	0.576	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.422	0.578	0.000
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.404	0.596	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.400	0.600	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.385	0.614	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.374	0.626	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.370	0.630	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.362	0.638	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.358	0.641	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.355	0.645	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.355	0.645	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.354	0.646	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.348	0.652	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.342	0.658	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.335	0.665	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.330	0.670	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.325	0.675	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.324	0.676	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.324	0.676	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.316	0.683	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.315	0.685	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.313	0.686	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.312	0.688	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.310	0.690	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.309	0.691	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.306	0.694	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.304	0.696	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.303	0.697	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.302	0.698	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.296	0.704	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.295	0.705	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.292	0.707	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.278	0.722	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.727	0.273
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.272	0.728	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.266	0.734	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.264	0.736	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.264	0.736	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.263	0.737	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.258	0.742	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.256	0.744	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.255	0.745	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.251	0.748	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.245	0.755	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.243	0.756	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.243	0.756	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.241	0.759	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.228	0.772	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.228	0.772	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.228	0.772	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.220	0.780	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.215	0.785	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.213	0.787	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.206	0.794	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.202	0.798	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.195	0.805	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.194	0.806	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.192	0.808	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.190	0.810	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.189	0.810	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.184	0.816	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.184	0.816	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.183	0.817	0.001
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.181	0.819	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.181	0.819	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.179	0.820	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.171	0.829	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.168	0.831	0.001
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.166	0.833	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.160	0.839	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.155	0.844	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.152	0.847	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.151	0.848	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.151	0.849	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.150	0.849	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.146	0.853	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.143	0.856	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.143	0.856	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.141	0.859	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.140	0.859	0.001
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.135	0.865	0.001
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.133	0.866	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.130	0.870	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.128	0.872	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.124	0.876	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.121	0.879	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.121	0.879	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.117	0.882	0.001
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.117	0.882	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.116	0.883	0.001
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.115	0.884	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.115	0.885	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.110	0.890	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.109	0.890	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.109	0.890	0.001
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.107	0.892	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.103	0.896	0.001
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.099	0.901	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.093	0.907	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.089	0.910	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.087	0.913	0.001
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.086	0.913	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.085	0.914	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.083	0.916	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.077	0.923	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.076	0.924	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.072	0.928	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.069	0.929	0.001
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.070	0.930	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.069	0.931	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.068	0.932	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.066	0.934	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.935	0.065
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.064	0.936	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.059	0.940	0.001
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.059	0.941	0.000
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	0.941	0.059
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.058	0.941	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.057	0.942	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.057	0.943	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.057	0.943	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.051	0.949	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.049	0.951	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.048	0.952	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.046	0.954	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.046	0.954	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.045	0.955	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.045	0.955	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.043	0.957	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.042	0.958	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.042	0.958	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.960	0.039
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.037	0.962	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.037	0.962	0.001
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.036	0.964	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.034	0.966	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	0.968	0.032
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.031	0.968	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.029	0.970	0.001
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.027	0.972	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.023	0.976	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.023	0.977	0.000
rs2280381 lBF = `-0.0191041` Chr`16` : `86,018,633`	0.022	0.978	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.021	0.979	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.021	0.979	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.017	0.982	0.001
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.017	0.982	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.016	0.984	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.001	0.985	0.014
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.015	0.985	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.015	0.985	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.014	0.985	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.014	0.986	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.012	0.987	0.001
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.013	0.987	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.012	0.987	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.011	0.988	0.001
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.011	0.989	0.001
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.010	0.989	0.001
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	0.989	0.010
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.008	0.991	0.001
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.009	0.991	0.000
rs11076175 lBF = `0.0104004` Chr`16` : `57,006,378`	0.009	0.991	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.009	0.991	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.009	0.991	0.000
rs4780805 lBF = `0.251748` Chr`16` : `19,404,645`	0.008	0.991	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.008	0.992	0.001
rs7499892 lBF = `0.0215668` Chr`16` : `57,006,590`	0.008	0.992	0.000
rs10514604 lBF = `-0.0138753` Chr`16` : `84,446,384`	0.007	0.993	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	0.993	0.007
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.993	0.007
rs11642421 lBF = `-0.0718059` Chr`16` : `23,749,777`	0.006	0.993	0.000
rs7189020 lBF = `-0.0521711` Chr`16` : `304,803`	0.000	0.994	0.006
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.006	0.994	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.005	0.994	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.006	0.994	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.006	0.994	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.004	0.994	0.001
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.005	0.994	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.005	0.994	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.005	0.995	0.001
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.000	0.995	0.005
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.005	0.995	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.005	0.995	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.004	0.995	0.001
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rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.001	0.999	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	0.999	0.001
rs3112740 lBF = `0.076717` Chr`16` : `7,836,297`	0.001	0.999	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	0.999	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.001	0.999	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.001	0.999	0.000
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.000	0.999	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.000	0.999	0.000
rs5817082 lBF = `0.00299668` Chr`16` : `56,997,349`	0.001	0.999	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.001	0.999	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	0.999	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.001	0.999	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	0.999	0.000
rs35320143 lBF = `0.138708` Chr`16` : `66,638,245`	0.001	0.999	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	0.999	0.000
rs904790 lBF = `-0.0111645` Chr`16` : `88,528,780`	0.000	0.999	0.001
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.000	0.999	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	0.999	0.001
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	0.999	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	0.999	0.000
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.000	0.999	0.000
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.000	0.999	0.001
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	0.999	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	0.999	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	0.999	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	0.999	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.001	0.999	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	0.999	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	0.999	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	0.999	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	0.999	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.000	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	0.999	0.000
rs9931232 lBF = `13.6644` Chr`16` : `52,572,832`	0.000	0.999	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	0.999	0.000
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.000	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.999	0.000
rs10514585 lBF = `0.162803` Chr`16` : `83,284,338`	0.000	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs255049 lBF = `-0.0397049` Chr`16` : `68,013,471`	0.000	0.999	0.000
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.001	0.999	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	0.999	0.000
rs3813579 lBF = `2.92185` Chr`16` : `79,749,276`	0.000	0.999	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	0.999	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	0.999	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	0.999	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	0.999	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	0.999	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	0.999	0.000
rs3925075 lBF = `-0.0836353` Chr`16` : `31,347,748`	0.000	0.999	0.001
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	0.999	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	0.999	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	0.999	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	0.999	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.999	0.000
rs2080454 lBF = `-0.0203477` Chr`16` : `49,062,590`	0.000	0.999	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	0.999	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.999	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	0.999	0.000
rs746080 lBF = `-0.101673` Chr`16` : `84,274,405`	0.000	0.999	0.000
rs2398144 lBF = `-0.104551` Chr`16` : `56,352,854`	0.000	0.999	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	0.999	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	0.999	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	0.999	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.000	0.999	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.000	0.999	0.000
rs56213767 lBF = `0.62151` Chr`16` : `15,379,572`	0.000	0.999	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	0.999	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	0.999	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	0.999	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	0.999	0.000
rs344364 lBF = `0.00835018` Chr`16` : `1,973,516`	0.000	0.999	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	0.999	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	0.999	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	0.999	0.000
rs9302752 lBF = `-0.033716` Chr`16` : `50,719,103`	0.000	0.999	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	0.999	0.000
rs7188801 lBF = `-0.0564031` Chr`16` : `86,707,769`	0.000	0.999	0.000
rs2656620 lBF = `-0.0830656` Chr`16` : `78,913,387`	0.000	0.999	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	0.999	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	0.999	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.999	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	0.999	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	0.999	0.000
rs8060598 lBF = `0.44141` Chr`16` : `50,781,802`	0.000	0.999	0.000
rs11644601 lBF = `0.424659` Chr`16` : `15,172,118`	0.000	0.999	0.000
rs1800775 lBF = `0.141918` Chr`16` : `56,995,236`	0.000	0.999	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	0.999	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	0.999	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	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

0.5890

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2730

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7107

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7103

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7016

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6999

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6998

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6810

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6649

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6605

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6590

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6402

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6218

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5960

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5843

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5085

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5056

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5002

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4905

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4868

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4796

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4581

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4517

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4294

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4289

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4149

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3905

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3890

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3889

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3559

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3497

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3374

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3340

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3322

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3251

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3027

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2999

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2993

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2832

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2771

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2681

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2668

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2634

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2467

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2437

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2409

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2385

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2329

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2305

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2239

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2198

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2140

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2051

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2018

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1973

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1888

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1882

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1881

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1859

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1851

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1817

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1696

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1653

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1622

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1559

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1546

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1472

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1468

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1439

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1432

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.1430

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1409

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1402

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1388

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1388

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1360

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1348

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1311

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1307

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1300

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1265

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1247

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1241

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1232

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1225

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1204

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1198

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1183

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1183

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1174

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1162

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1146

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1135

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1129

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1111

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1110

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1092

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1074

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1013

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1007

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0983

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0977

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0966

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0957

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0951

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0922

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0880

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0862

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0858

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0838

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0826

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0810

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0800

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0793

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0788

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0779

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0765

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0756

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0753

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0752

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0747

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0746

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0743

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0742

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0732

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0728

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0712

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0704

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0697

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0688

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0686

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0674

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0670

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0654

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0650

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0645

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0639

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0631

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0623

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0621

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0620

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0614

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0608

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0602

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0599

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0582

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0573

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0564

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0545

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0542

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0536

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0535

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0519

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0512

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0510

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0505

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`)