TreeWAS – [Z51.9] Medical care, unspecified

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
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.727	0.273	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.700	0.300	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.698	0.302	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.696	0.304	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.681	0.319	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.670	0.330	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.667	0.333	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.664	0.336	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.662	0.338	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.658	0.341	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.654	0.345	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.651	0.349	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.640	0.360	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.635	0.365	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.382	0.618
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.618	0.382	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.617	0.382	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.601	0.399	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.597	0.403	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.597	0.403	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.590	0.410	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.584	0.416	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.554	0.446	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.554	0.446	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.552	0.448	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.551	0.449	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.547	0.453	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.537	0.462	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.537	0.463	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.519	0.481	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.460	0.539	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.442	0.558	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.433	0.567	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.415	0.585	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.337	0.662	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.331	0.669	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.312	0.688	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.263	0.737	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.253	0.747	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.240	0.760	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.231	0.769	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.229	0.771	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.216	0.784	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.211	0.789	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.204	0.796	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.191	0.809	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.190	0.810	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.190	0.810	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.180	0.820	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.151	0.849	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.141	0.859	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.138	0.862	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.138	0.862	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.136	0.863	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.132	0.868	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.132	0.868	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.130	0.870	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.124	0.876	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.122	0.878	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.120	0.880	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.105	0.895	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.092	0.908	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.083	0.917	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.072	0.928	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.070	0.930	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.069	0.931	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.067	0.933	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.064	0.936	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.063	0.937	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.058	0.941	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.053	0.947	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.052	0.948	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.047	0.953	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.047	0.953	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.046	0.954	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.043	0.957	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.042	0.958	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.041	0.959	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.038	0.962	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.037	0.962	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.036	0.964	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.034	0.966	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.033	0.967	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	0.970	0.030
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.029	0.970	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.028	0.972	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.027	0.973	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.026	0.974	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.026	0.974	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.025	0.974	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.021	0.978	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.020	0.980	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.020	0.980	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.017	0.983	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.013	0.986	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.012	0.988	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.011	0.988	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.010	0.990	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.010	0.990	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.008	0.990	0.002
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.009	0.991	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.009	0.991	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.008	0.992	0.000
rs11074683 lBF = `0.0333802` Chr`16` : `10,349,893`	0.000	0.993	0.007
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.007	0.993	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.007	0.993	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.007	0.993	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.007	0.993	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.006	0.993	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.005	0.995	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.005	0.995	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.005	0.995	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.996	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.003	0.997	0.000
rs11076780 lBF = `5.5846` Chr`16` : `89,397,954`	0.000	0.997	0.003
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.003	0.997	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.003	0.997	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.003	0.997	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.003	0.997	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.003	0.997	0.000
rs62070320 lBF = `15.294` Chr`16` : `89,573,689`	0.003	0.997	0.000
rs3096299 lBF = `5.36096` Chr`16` : `89,448,663`	0.003	0.997	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.002	0.997	0.001
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	0.997	0.003
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.002	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.002	0.998	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.002	0.998	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.002	0.998	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.002	0.998	0.000
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.002	0.998	0.000
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.002	0.998	0.000
rs3803680 lBF = `16.4381` Chr`16` : `89,590,243`	0.002	0.998	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.002	0.998	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.000	0.998	0.002
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.001	0.998	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.001	0.999	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.000	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs17281813 lBF = `0.294971` Chr`16` : `49,750,790`	0.001	0.999	0.000
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.001	0.999	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs164748 lBF = `2.78549` Chr`16` : `89,708,292`	0.001	0.999	0.000
rs154657 lBF = `2.72053` Chr`16` : `89,708,096`	0.001	0.999	0.000
rs9925432 lBF = `-0.0712221` Chr`16` : `2,917,327`	0.001	0.999	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs2193094 lBF = `13.5255` Chr`16` : `52,566,454`	0.000	0.999	0.001
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.000	0.999	0.001
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.000	0.999	0.001
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.000	0.999	0.001
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.001	0.999	0.001
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.001	0.999	0.000
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.000	0.999	0.001
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs114607539 lBF = `0` Chr`16` : `60,697,586`	0.001	0.999	0.001
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
rs73251207 lBF = `0` Chr`16` : `87,615,821`	0.001	0.999	0.001
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.000	0.999	0.001
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rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.000	1.000	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	1.000	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	1.000	0.000
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.000	1.000	0.000
rs386965 lBF = `-0.0757266` Chr`16` : `79,652,541`	0.000	1.000	0.000
rs391023 lBF = `-0.105211` Chr`16` : `85,927,814`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.000	1.000	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	0.000	1.000	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.000	1.000	0.000
rs11077149 lBF = `5.70606` Chr`16` : `7,264,782`	0.000	1.000	0.000
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	1.000	0.000
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	1.000	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	1.000	0.000
rs8051149 lBF = `0.170541` Chr`16` : `87,878,822`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs35320143 lBF = `0.138708` Chr`16` : `66,638,245`	0.000	1.000	0.000
rs7195486 lBF = `0.121104` Chr`16` : `4,255,180`	0.000	1.000	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	1.000	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	1.000	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	1.000	0.000
rs11649311 lBF = `-0.0803119` Chr`16` : `25,226,020`	0.000	1.000	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.000	1.000	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.000	1.000	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.000	1.000	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.000	1.000	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	0.000	1.000	0.000
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.000	1.000	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	0.000	1.000	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.000	1.000	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.000	1.000	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	0.000	1.000	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.000	1.000	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs17221417 lBF = `8.74535` Chr`16` : `50,739,582`	0.000	1.000	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	1.000	0.000
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.000	1.000	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.000	1.000	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.000	1.000	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	1.000	0.000
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs11643134 lBF = `0.0218302` Chr`16` : `27,242,880`	0.000	1.000	0.000
rs12935422 lBF = `-0.00267497` Chr`16` : `71,664,225`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs151222 lBF = `-0.011566` Chr`16` : `20,674,492`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	1.000	0.000
rs12927162 lBF = `-0.046225` Chr`16` : `52,684,916`	0.000	1.000	0.000
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.000	1.000	0.000
rs1629212 lBF = `-0.067681` Chr`16` : `15,378,697`	0.000	1.000	0.000
rs13336428 lBF = `-0.0798475` Chr`16` : `1,532,463`	0.000	1.000	0.000
rs8050187 lBF = `-0.0833936` Chr`16` : `79,186,886`	0.000	1.000	0.000
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.000	1.000	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.000	1.000	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.000	1.000	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	1.000	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	1.000	0.000
rs12446492 lBF = `6.16364` Chr`16` : `20,408,377`	0.000	1.000	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.000	1.000	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	1.000	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	1.000	0.000
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	1.000	0.000
rs37062 lBF = `0.0875835` Chr`16` : `58,567,238`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs1478693 lBF = `0.0331999` Chr`16` : `7,164,219`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs270421 lBF = `-0.0391422` Chr`16` : `79,252,324`	0.000	1.000	0.000
rs9921518 lBF = `-0.0463397` Chr`16` : `54,494,424`	0.000	1.000	0.000
rs7189020 lBF = `-0.0521711` Chr`16` : `304,803`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.000	1.000	0.000
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.000	1.000	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.000	1.000	0.000
rs4843747 lBF = `-0.0731947` Chr`16` : `87,991,051`	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

0.7150

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6183

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9852

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9727

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9704

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9639

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9594

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9514

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9499

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9437

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9366

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9324

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9075

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8537

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8523

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8499

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8438

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8425

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8316

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8302

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8185

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8114

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8113

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8040

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8014

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7984

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7822

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7786

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7644

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7609

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7460

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7455

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7319

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7266

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7168

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7167

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7159

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7149

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7133

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7105

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7080

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6885

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6616

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6551

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6455

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6249

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6211

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6139

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5904

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5824

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5689

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4951

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4947

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3721

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3514

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3350

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3341

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3012

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2943

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1837

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1743

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1611

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1315

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1303

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1171

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0902

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0879

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0872

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0859

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0702

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0562

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0502

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)