TreeWAS – [D69.3] Idiopathic thrombocytopenic purpura

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
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.958	0.042	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.851	0.149	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.834	0.166	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.777	0.223	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.762	0.238	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.735	0.265	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.727	0.273	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.682	0.318	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.675	0.325	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.668	0.332	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.661	0.339	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.643	0.357	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.602	0.398	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.589	0.411	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.577	0.423	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.574	0.426	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.573	0.427	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.557	0.443	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.557	0.443	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.550	0.450	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.550	0.450	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.540	0.460	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.535	0.465	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.530	0.470	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.497	0.503	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.491	0.509	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.484	0.516	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.480	0.520	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.454	0.546	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.436	0.563	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.431	0.569	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.430	0.570	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.428	0.572	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.425	0.575	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.395	0.605	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.391	0.609	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.372	0.628	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.372	0.628	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.372	0.628	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.371	0.629	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.371	0.629	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.362	0.637	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.359	0.641	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.350	0.650	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.349	0.651	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.343	0.656	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.336	0.664	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.328	0.672	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.327	0.673	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.326	0.674	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.324	0.676	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.323	0.676	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.323	0.677	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.321	0.679	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.313	0.687	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.304	0.695	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.303	0.697	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.293	0.707	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.291	0.709	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.283	0.717	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.283	0.717	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.277	0.723	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.276	0.723	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.274	0.726	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.272	0.728	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.269	0.731	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.264	0.736	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.261	0.738	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.261	0.739	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.258	0.741	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.255	0.744	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.252	0.748	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.248	0.752	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.231	0.768	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.228	0.772	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.222	0.778	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.216	0.783	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.213	0.786	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.210	0.790	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.208	0.791	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.206	0.793	0.001
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.207	0.793	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.206	0.793	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.206	0.794	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.206	0.794	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.205	0.795	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.203	0.797	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.202	0.798	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.201	0.798	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.195	0.804	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.195	0.805	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.193	0.807	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.189	0.811	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.188	0.812	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.187	0.812	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.182	0.817	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.179	0.821	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.179	0.821	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.177	0.822	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.174	0.825	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.173	0.827	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.172	0.828	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.170	0.829	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.164	0.836	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.163	0.837	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.162	0.837	0.001
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.162	0.838	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.162	0.838	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.162	0.838	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.150	0.850	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.149	0.851	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.140	0.860	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.138	0.862	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.132	0.867	0.001
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.126	0.874	0.001
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.123	0.876	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.122	0.877	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.121	0.878	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.117	0.883	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.113	0.886	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.111	0.888	0.001
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.111	0.889	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.110	0.889	0.001
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.110	0.890	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.110	0.890	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.109	0.890	0.001
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.109	0.891	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.107	0.892	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.107	0.892	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.102	0.897	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.102	0.898	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.101	0.898	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.101	0.899	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.099	0.899	0.002
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.092	0.908	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.087	0.911	0.002
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.088	0.912	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.085	0.915	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.082	0.917	0.001
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.079	0.921	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.077	0.923	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.074	0.925	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.001	0.926	0.073
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.069	0.930	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.069	0.931	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.067	0.933	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.067	0.933	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.061	0.939	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.059	0.940	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.059	0.941	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.058	0.941	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.057	0.943	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.055	0.944	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.054	0.946	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.053	0.946	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.053	0.947	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.051	0.949	0.001
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.047	0.952	0.001
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.047	0.953	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.045	0.954	0.001
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.042	0.958	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.037	0.963	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.028	0.972	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.026	0.974	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.026	0.974	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.976	0.024
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.022	0.978	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.022	0.978	0.000
rs2541522 lBF = `-0.00790646` Chr`16` : `10,750,548`	0.016	0.984	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.014	0.986	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.013	0.986	0.000
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	0.989	0.011
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.011	0.989	0.000
rs929843 lBF = `0.0505906` Chr`16` : `70,045,748`	0.000	0.990	0.010
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.009	0.991	0.000
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.000	0.991	0.009
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.007	0.991	0.002
rs17550532 lBF = `0.0223653` Chr`16` : `9,744,095`	0.008	0.992	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.007	0.993	0.000
rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.006	0.994	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.006	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.005	0.995	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.005	0.995	0.000
rs1211375 lBF = `0.222355` Chr`16` : `240,280`	0.005	0.995	0.000
rs3764261 lBF = `-0.0440321` Chr`16` : `56,993,324`	0.005	0.995	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.004	0.995	0.000
rs8045334 lBF = `-0.084085` Chr`16` : `63,573,376`	0.000	0.996	0.004
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.004	0.996	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.004	0.996	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.996	0.004
rs17281813 lBF = `0.294971` Chr`16` : `49,750,790`	0.000	0.996	0.004
rs12927205 lBF = `0.0509957` Chr`16` : `72,025,077`	0.000	0.996	0.003
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.003	0.997	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.003	0.997	0.000
rs13708 lBF = `0.663477` Chr`16` : `31,000,809`	0.003	0.997	0.000
rs821840 lBF = `-0.0480025` Chr`16` : `56,993,886`	0.003	0.997	0.000
rs17231506 lBF = `-0.0477004` Chr`16` : `56,994,528`	0.003	0.997	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.002	0.997	0.001
rs711752 lBF = `0.246679` Chr`16` : `56,996,211`	0.003	0.997	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
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rs7189501 lBF = `-0.0565337` Chr`16` : `6,175,429`	0.001	0.999	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.001	0.999	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	0.999	0.001
rs3785176 lBF = `0.0152003` Chr`16` : `8,896,931`	0.000	0.999	0.001
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	0.999	0.000
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.000	0.999	0.001
rs2270368 lBF = `0.0178197` Chr`16` : `50,714,335`	0.001	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs9302752 lBF = `-0.033716` Chr`16` : `50,719,103`	0.001	0.999	0.000
rs9940536 lBF = `-0.0752707` Chr`16` : `79,155,917`	0.000	0.999	0.001
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.001	0.999	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.001	0.999	0.000
rs7200786 lBF = `0.171329` Chr`16` : `11,177,801`	0.000	0.999	0.001
rs7191700 lBF = `0.165901` Chr`16` : `11,406,803`	0.001	0.999	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.999	0.000
rs12446940 lBF = `-0.0678355` Chr`16` : `3,962,620`	0.001	0.999	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.001	0.999	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	0.999	0.001
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.001	0.999	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.001	0.999	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	0.999	0.001
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.001	0.999	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	0.999	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	0.999	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.001	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs9937837 lBF = `-0.103372` Chr`16` : `31,298,939`	0.001	0.999	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	0.999	0.001
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	0.999	0.001
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	0.999	0.000
rs13333054 lBF = `-0.0287458` Chr`16` : `86,011,033`	0.000	0.999	0.000
rs8047014 lBF = `-0.114118` Chr`16` : `69,135,049`	0.000	0.999	0.001
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.000	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	0.999	0.000
rs728571 lBF = `2.30158` Chr`16` : `55,214,093`	0.000	0.999	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.000	0.999	0.001
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	0.999	0.000
rs7203315 lBF = `-0.0477223` Chr`16` : `10,188,060`	0.001	0.999	0.000
rs11642421 lBF = `-0.0718059` Chr`16` : `23,749,777`	0.000	0.999	0.001
rs12919634 lBF = `-0.0770561` Chr`16` : `60,462,706`	0.000	0.999	0.001
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	0.999	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	0.999	0.001
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.001	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.999	0.000
rs3112740 lBF = `0.076717` Chr`16` : `7,836,297`	0.001	0.999	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	0.999	0.000
rs12926729 lBF = `0.0441419` Chr`16` : `20,100,370`	0.000	0.999	0.001
rs4788815 lBF = `0.00548933` Chr`16` : `71,634,811`	0.000	0.999	0.001
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.000	0.999	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	0.999	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	0.999	0.000
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.000	1.000	0.000
rs164748 lBF = `2.78549` Chr`16` : `89,708,292`	0.000	1.000	0.000
rs154657 lBF = `2.72053` Chr`16` : `89,708,096`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	1.000	0.000
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.000	1.000	0.000
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs194045 lBF = `-0.0083126` Chr`16` : `29,246,102`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs2288059 lBF = `-0.0247894` Chr`16` : `76,170,096`	0.000	1.000	0.000
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.000	1.000	0.000
rs1862746 lBF = `-0.0771389` Chr`16` : `60,462,358`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	0.000	1.000	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	1.000	0.000
rs4780355 lBF = `0.183442` Chr`16` : `11,347,858`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs1962636 lBF = `-0.0196444` Chr`16` : `22,064,395`	0.000	1.000	0.000
rs2080364 lBF = `-0.0370627` Chr`16` : `53,376,459`	0.000	1.000	0.000
rs71391092 lBF = `-0.045922` Chr`16` : `74,567,075`	0.000	1.000	0.000
rs8061121 lBF = `-0.0602714` Chr`16` : `87,193,084`	0.000	1.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs57374020 lBF = `10.9383` Chr`16` : `88,847,523`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.000	1.000	0.000
rs4780805 lBF = `0.251748` Chr`16` : `19,404,645`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.000	1.000	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.1844

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0731

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9982

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9899

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9794

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9684

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9540

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9464

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9444

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9262

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9223

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9185

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9172

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9129

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8710

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8636

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8181

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8145

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.8132

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8089

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8032

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7995

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7878

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7661

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7644

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7617

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7589

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7518

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7455

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7208

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6869

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6746

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6682

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.6580

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6344

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6281

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6130

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6102

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6078

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5906

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5839

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5814

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5805

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5792

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5777

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5698

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5676

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5474

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5457

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5260

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5212

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5202

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5170

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5143

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5054

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5013

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4959

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4915

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4732

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4723

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4684

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4666

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4653

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4635

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4630

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4591

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4562

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4455

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4393

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4388

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4297

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4272

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4264

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3637

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3615

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3594

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3575

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.3499

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3483

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3424

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3394

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3369

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3351

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3346

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3324

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3298

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3275

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3173

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2952

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2912

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2808

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2802

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.2743

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2713

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2684

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2654

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2604

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2540

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2539

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2497

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2433

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2355

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2349

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2328

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2287

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2264

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2203

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2176

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2006

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1998

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1994

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1991

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1944

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1818

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1755

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1747

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1730

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1678

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1660

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1532

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1509

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1468

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1381

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1343

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1332

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1310

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1288

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1285

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1243

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1232

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1207

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1192

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1181

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1109

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1072

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1046

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0994

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0980

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0953

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0951

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0948

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0947

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0889

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0846

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0806

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0802

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0787

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0713

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0594

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0588

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0531

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0529

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0529

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`)