TreeWAS – [L29.0] Pruritus ani

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
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.813	0.187	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.713	0.287	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.650	0.350	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.642	0.358	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.641	0.359	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.606	0.394	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.604	0.396	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.603	0.397	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.601	0.399	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.587	0.413	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.582	0.418	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.581	0.419	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.579	0.421	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.577	0.423	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.573	0.427	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.557	0.443	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.556	0.444	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.554	0.446	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.553	0.447	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.540	0.460	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.522	0.478	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.521	0.478	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.513	0.487	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.509	0.491	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.509	0.491	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.508	0.492	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.506	0.494	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.501	0.499	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.499	0.501	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.495	0.505	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.487	0.513	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.477	0.523	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.466	0.533	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.454	0.546	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.452	0.548	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.445	0.555	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.434	0.566	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.429	0.570	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.424	0.576	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.420	0.580	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.418	0.582	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.415	0.585	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.406	0.593	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.396	0.604	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.393	0.607	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.376	0.623	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.373	0.627	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.371	0.628	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.370	0.630	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.363	0.637	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.362	0.638	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.360	0.639	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.360	0.640	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.352	0.648	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.351	0.648	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.349	0.651	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.348	0.652	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.345	0.655	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.344	0.656	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.342	0.657	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.342	0.658	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.325	0.675	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.323	0.677	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.318	0.681	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.316	0.684	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.315	0.684	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.311	0.689	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.306	0.693	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.291	0.709	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.291	0.709	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.288	0.711	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.287	0.712	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.282	0.718	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.281	0.718	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.277	0.723	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.274	0.726	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.274	0.726	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.265	0.734	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.264	0.735	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.258	0.742	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.254	0.746	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.247	0.752	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.247	0.752	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.240	0.759	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.240	0.760	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.237	0.763	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.234	0.765	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.232	0.768	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.230	0.770	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.227	0.773	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.226	0.773	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.225	0.774	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.222	0.778	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.212	0.788	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.209	0.791	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.209	0.791	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.206	0.794	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.205	0.795	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.199	0.801	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.199	0.801	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.197	0.803	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.196	0.803	0.001
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.196	0.803	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.194	0.806	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.189	0.810	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.188	0.811	0.001
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.182	0.818	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.181	0.819	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.168	0.831	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.163	0.837	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.161	0.839	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.152	0.848	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.146	0.854	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.141	0.858	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.137	0.861	0.001
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.137	0.863	0.001
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.136	0.864	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.136	0.864	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.135	0.865	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.134	0.866	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.131	0.869	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.120	0.879	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.120	0.880	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.114	0.886	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.113	0.887	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.112	0.887	0.001
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.108	0.892	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.107	0.892	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.105	0.895	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.105	0.895	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.104	0.896	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.103	0.897	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.101	0.899	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.100	0.900	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.098	0.901	0.001
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.097	0.902	0.001
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.092	0.908	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.090	0.910	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.088	0.911	0.001
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.088	0.912	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.088	0.912	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.087	0.912	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.086	0.914	0.001
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.085	0.915	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.084	0.916	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.083	0.917	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.081	0.919	0.001
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.080	0.920	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.079	0.921	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.078	0.922	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.072	0.927	0.001
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.071	0.928	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.069	0.929	0.002
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.070	0.930	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.069	0.931	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.064	0.934	0.002
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.063	0.937	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.062	0.937	0.001
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.061	0.937	0.002
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.062	0.937	0.001
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.059	0.941	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.057	0.943	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.054	0.945	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.054	0.946	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.053	0.946	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.053	0.946	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.053	0.947	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.052	0.947	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.052	0.948	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.052	0.948	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.047	0.952	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.044	0.956	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.043	0.957	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.043	0.957	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.041	0.959	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.040	0.960	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.038	0.960	0.002
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.961	0.039
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.038	0.962	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.033	0.967	0.000
rs17214007 lBF = `-0.0640851` Chr`16` : `15,883,490`	0.031	0.969	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.029	0.970	0.001
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.024	0.975	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.023	0.977	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.023	0.977	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.023	0.977	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.019	0.981	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.019	0.981	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.018	0.982	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.018	0.982	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.017	0.983	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.016	0.984	0.000
rs631208 lBF = `-0.0930504` Chr`16` : `9,399,724`	0.016	0.984	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	0.016	0.984	0.000
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.015	0.985	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.015	0.985	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.014	0.986	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.014	0.986	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.013	0.986	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	0.013	0.987	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	0.013	0.987	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.013	0.987	0.000
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rs12917712 lBF = `-0.0484169` Chr`16` : `29,882,490`	0.000	0.999	0.001
rs6498482 lBF = `-0.076711` Chr`16` : `13,987,719`	0.000	0.999	0.001
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	0.999	0.001
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	0.999	0.001
rs11646411 lBF = `-0.00426655` Chr`16` : `82,746,937`	0.001	0.999	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.001	0.999	0.000
rs7200786 lBF = `0.171329` Chr`16` : `11,177,801`	0.000	0.999	0.001
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.001	0.999	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	0.999	0.001
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	0.999	0.001
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.999	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	0.999	0.000
rs4467099 lBF = `-0.06859` Chr`16` : `11,542,894`	0.000	0.999	0.001
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	0.999	0.001
rs10852344 lBF = `0.613469` Chr`16` : `12,016,919`	0.001	0.999	0.000
rs4784934 lBF = `0.0912296` Chr`16` : `58,459,926`	0.001	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.001
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	0.999	0.001
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.001	0.999	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	0.999	0.001
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	0.999	0.001
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.001	0.999	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.999	0.000
rs737008 lBF = `-0.028452` Chr`16` : `11,374,866`	0.001	0.999	0.000
rs10083777 lBF = `-0.0441441` Chr`16` : `81,065,282`	0.001	0.999	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.001	0.999	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.001
rs4783860 lBF = `-0.10313` Chr`16` : `55,005,321`	0.001	0.999	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	0.999	0.001
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.000	0.999	0.001
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.000	0.999	0.001
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs4561483 lBF = `0.00633995` Chr`16` : `11,920,037`	0.001	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.001	0.999	0.000
rs16944158 lBF = `-0.0260663` Chr`16` : `49,652,779`	0.000	0.999	0.001
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.001	0.999	0.000
rs9933429 lBF = `0.544349` Chr`16` : `26,170,940`	0.001	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.999	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.001	0.999	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	0.999	0.001
rs4784220 lBF = `23.5457` Chr`16` : `52,535,810`	0.000	0.999	0.001
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.999	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	0.999	0.000
rs62038064 lBF = `0.018332` Chr`16` : `78,937,752`	0.001	0.999	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	0.999	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	0.999	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.001	0.999	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.001	0.999	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.001	0.999	0.000
rs59626546 lBF = `0.0169238` Chr`16` : `78,938,589`	0.001	0.999	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.000	0.999	0.001
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs4787484 lBF = `-0.0491076` Chr`16` : `29,906,546`	0.000	0.999	0.001
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.000	0.999	0.001
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	0.999	0.001
rs12444931 lBF = `1.20963` Chr`16` : `7,753,704`	0.000	0.999	0.001
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	0.999	0.001
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.000	0.999	0.001
rs2343519 lBF = `-0.060762` Chr`16` : `6,128,520`	0.001	0.999	0.000
rs2965946 lBF = `7.96796` Chr`16` : `89,516,612`	0.001	0.999	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	0.999	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.001	0.999	0.000
rs758747 lBF = `0.106862` Chr`16` : `3,627,358`	0.001	0.999	0.000
rs55760002 lBF = `0.0377663` Chr`16` : `78,938,643`	0.001	0.999	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.001	0.999	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.999	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.001	0.999	0.000
rs11861787 lBF = `-0.0554163` Chr`16` : `8,517,745`	0.000	0.999	0.001
rs11859517 lBF = `-0.0592355` Chr`16` : `53,181,247`	0.001	0.999	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.001	0.999	0.000
rs1862746 lBF = `-0.0771389` Chr`16` : `60,462,358`	0.000	0.999	0.001
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.001	0.999	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	0.999	0.000
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.001	0.999	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	0.999	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	0.999	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	0.999	0.000
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.000	0.999	0.001
rs9921518 lBF = `-0.0463397` Chr`16` : `54,494,424`	0.001	0.999	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.000	0.999	0.001
rs11866781 lBF = `-0.107466` Chr`16` : `7,139,173`	0.001	0.999	0.000
rs12600304 lBF = `-0.144173` Chr`16` : `58,022,136`	0.001	0.999	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.001	0.999	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	0.999	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	0.999	0.000
rs4787483 lBF = `0.0630491` Chr`16` : `29,885,447`	0.000	0.999	0.001
rs2047925 lBF = `0.035211` Chr`16` : `78,935,908`	0.001	0.999	0.000
rs12691307 lBF = `0.0239576` Chr`16` : `29,939,877`	0.000	0.999	0.001
rs4888873 lBF = `0.0198001` Chr`16` : `78,937,138`	0.001	0.999	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1954

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0925

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0748

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9749

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9734

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9659

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9601

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9478

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9395

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9391

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9283

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9267

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9026

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8991

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8893

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8884

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8799

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8746

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8529

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8522

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8516

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8503

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8448

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8313

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8297

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8101

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8098

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8002

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7946

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7830

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7825

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7769

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7755

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7613

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7524

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7336

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7225

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7160

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6900

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6851

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6800

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6747

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6721

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6503

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6480

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6261

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6260

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6255

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6228

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6227

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6206

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6182

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6147

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6023

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5921

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5653

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5638

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.5581

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5494

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5423

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5336

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5238

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5219

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5186

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5107

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5065

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4955

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4860

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4857

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4838

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4770

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4648

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4563

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4546

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4396

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4355

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4344

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4262

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4186

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3996

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3970

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3963

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3926

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3811

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3748

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3613

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3304

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3245

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3240

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3160

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2984

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2975

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2918

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2862

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2827

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2687

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2612

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2575

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2375

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2360

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2306

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2217

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2176

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2117

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2115

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2112

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2077

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2076

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.2040

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2025

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1988

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1922

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1896

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1880

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1825

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1806

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1749

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1722

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1717

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1716

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1700

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1632

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1611

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1557

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1543

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1492

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1435

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1434

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1323

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1245

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1211

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1184

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1150

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1062

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1027

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0986

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0905

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0899

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0878

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0869

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0849

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0762

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0749

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0730

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0713

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0657

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0629

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0615

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0598

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0594

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0568

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0522

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0518

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`)