TreeWAS – [Z99.3] Dependence on wheelchair

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
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.816	0.184	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.806	0.194	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.797	0.203	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.769	0.231	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.750	0.250	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.731	0.269	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.729	0.271	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.722	0.278	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.713	0.287	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.705	0.295	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.696	0.304	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.692	0.308	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.687	0.313	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.653	0.347	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.374	0.626
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.614	0.386	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.594	0.406	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.590	0.410	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.578	0.422	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.558	0.441	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.550	0.449	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.543	0.457	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.526	0.474	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.505	0.495	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.503	0.497	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.502	0.498	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.494	0.506	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.493	0.507	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.486	0.514	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.483	0.517	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.467	0.532	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.451	0.549	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.448	0.551	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.442	0.558	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.428	0.572	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.422	0.577	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.413	0.586	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.400	0.600	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.398	0.602	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.355	0.645	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.348	0.652	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.326	0.674	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.325	0.675	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.314	0.685	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.295	0.705	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.288	0.712	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.283	0.717	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.270	0.730	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.267	0.732	0.001
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.243	0.757	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.239	0.761	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.230	0.770	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.227	0.773	0.001
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.218	0.782	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.201	0.798	0.001
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.199	0.800	0.001
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.194	0.806	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.186	0.814	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.170	0.830	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.168	0.832	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.159	0.841	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.152	0.848	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.151	0.849	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.143	0.857	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.126	0.874	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.122	0.878	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.119	0.881	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.108	0.892	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.107	0.893	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.096	0.904	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.087	0.913	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.080	0.920	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.079	0.921	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.067	0.933	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.067	0.933	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.066	0.934	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.061	0.939	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.056	0.944	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.046	0.954	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.043	0.957	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.038	0.962	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.038	0.962	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.038	0.962	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.036	0.964	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.030	0.970	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.029	0.971	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.028	0.972	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.028	0.972	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.027	0.972	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.025	0.975	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.022	0.978	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.014	0.986	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.012	0.988	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.010	0.990	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.010	0.990	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.009	0.991	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.008	0.992	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.007	0.993	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.006	0.994	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.006	0.994	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.006	0.994	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.005	0.995	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.005	0.995	0.000
rs11644424 lBF = `0.017494` Chr`16` : `83,326,059`	0.000	0.995	0.005
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.005	0.995	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.005	0.995	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.004	0.996	0.000
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.004	0.996	0.000
rs217181 lBF = `2.51811` Chr`16` : `72,114,002`	0.000	0.996	0.004
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	0.996	0.004
rs77303550 lBF = `2.9817` Chr`16` : `72,079,657`	0.000	0.996	0.004
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.003	0.996	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.004	0.996	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	0.997	0.003
rs9925432 lBF = `-0.0712221` Chr`16` : `2,917,327`	0.000	0.997	0.003
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.003	0.997	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.003	0.997	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.003	0.997	0.000
rs4781011 lBF = `-0.0201332` Chr`16` : `10,975,311`	0.000	0.997	0.003
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	0.997	0.003
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.002	0.997	0.000
rs1079572 lBF = `-0.0273694` Chr`16` : `78,187,138`	0.000	0.998	0.002
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.002	0.998	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.002	0.998	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.002	0.998	0.000
rs1429264 lBF = `-0.101101` Chr`16` : `84,623,484`	0.002	0.998	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.002	0.998	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.002	0.998	0.000
rs4784165 lBF = `-0.0671462` Chr`16` : `52,347,819`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.000	0.998	0.002
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.002	0.998	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.002	0.998	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	0.998	0.002
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.002	0.998	0.000
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	0.998	0.002
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.002	0.998	0.000
rs7204230 lBF = `-0.0418398` Chr`16` : `53,192,331`	0.002	0.998	0.000
rs12919634 lBF = `-0.0770561` Chr`16` : `60,462,706`	0.002	0.998	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.000	0.998	0.002
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs7194676 lBF = `-0.0614059` Chr`16` : `87,489,891`	0.002	0.998	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.001	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs17281813 lBF = `0.294971` Chr`16` : `49,750,790`	0.000	0.999	0.001
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.001
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.001	0.999	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	0.999	0.001
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	0.999	0.001
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.001	0.999	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.000	0.999	0.001
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.001	0.999	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.001	0.999	0.000
rs13336428 lBF = `-0.0798475` Chr`16` : `1,532,463`	0.000	0.999	0.001
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.001	0.999	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	0.999	0.001
rs8049367 lBF = `-0.073433` Chr`16` : `3,980,445`	0.001	0.999	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.001	0.999	0.000
rs7185940 lBF = `8.01101` Chr`16` : `20,410,488`	0.000	0.999	0.001
rs1629212 lBF = `-0.067681` Chr`16` : `15,378,697`	0.000	0.999	0.001
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	0.999	0.001
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs13333054 lBF = `-0.0287458` Chr`16` : `86,011,033`	0.001	0.999	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	0.999	0.001
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.001	0.999	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.001	0.999	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	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
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	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
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
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rs2047925 lBF = `0.035211` Chr`16` : `78,935,908`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs6498114 lBF = `-0.07854` Chr`16` : `10,964,118`	0.000	1.000	0.000
rs55760002 lBF = `0.0377663` Chr`16` : `78,938,643`	0.000	1.000	0.000
rs4888873 lBF = `0.0198001` Chr`16` : `78,937,138`	0.000	1.000	0.000
rs62038064 lBF = `0.018332` Chr`16` : `78,937,752`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs59626546 lBF = `0.0169238` Chr`16` : `78,938,589`	0.000	1.000	0.000
rs4985155 lBF = `0.00464272` Chr`16` : `15,129,459`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.000	1.000	0.000
rs889472 lBF = `-0.080382` Chr`16` : `79,645,989`	0.000	1.000	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	1.000	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	1.000	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	1.000	0.000
rs7200786 lBF = `0.171329` Chr`16` : `11,177,801`	0.000	1.000	0.000
rs2326458 lBF = `0.0517866` Chr`16` : `84,987,679`	0.000	1.000	0.000
rs2740 lBF = `0.023688` Chr`16` : `15,132,108`	0.000	1.000	0.000
rs1136001 lBF = `0.0202838` Chr`16` : `15,131,974`	0.000	1.000	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.000	1.000	0.000
rs7203315 lBF = `-0.0477223` Chr`16` : `10,188,060`	0.000	1.000	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.000	1.000	0.000
rs4081947 lBF = `-0.057193` Chr`16` : `87,579,870`	0.000	1.000	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	1.000	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs2601828 lBF = `0.00343066` Chr`16` : `4,103,871`	0.000	1.000	0.000
rs5817082 lBF = `0.00299668` Chr`16` : `56,997,349`	0.000	1.000	0.000
rs12597458 lBF = `-0.0663606` Chr`16` : `72,030,970`	0.000	1.000	0.000
rs4783860 lBF = `-0.10313` Chr`16` : `55,005,321`	0.000	1.000	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	1.000	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs7359397 lBF = `1.47495` Chr`16` : `28,885,659`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs2962462 lBF = `-0.0698373` Chr`16` : `62,798,852`	0.000	1.000	0.000
rs8049603 lBF = `-0.0777599` Chr`16` : `23,067,260`	0.000	1.000	0.000
rs11649311 lBF = `-0.0803119` Chr`16` : `25,226,020`	0.000	1.000	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	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
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.000	1.000	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs37060 lBF = `0.232265` Chr`16` : `58,566,304`	0.000	1.000	0.000
rs9922678 lBF = `0.176249` Chr`16` : `9,946,319`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	1.000	0.000
rs6499640 lBF = `-0.0833286` Chr`16` : `53,769,677`	0.000	1.000	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.000	1.000	0.000
rs2193094 lBF = `13.5255` Chr`16` : `52,566,454`	0.000	1.000	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	1.000	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	1.000	0.000
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs1967309 lBF = `0.483005` Chr`16` : `4,065,583`	0.000	1.000	0.000
rs11644601 lBF = `0.424659` Chr`16` : `15,172,118`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs198160 lBF = `-0.0413913` Chr`16` : `24,240,725`	0.000	1.000	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	1.000	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	1.000	0.000
rs12930096 lBF = `-0.0558097` Chr`16` : `11,670,758`	0.000	1.000	0.000
rs8050187 lBF = `-0.0833936` Chr`16` : `79,186,886`	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

0.6998

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6259

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9999

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9985

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9979

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9977

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9974

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9968

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9963

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9957

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9939

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9937

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9912

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9878

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9876

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9849

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9849

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9826

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9814

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9806

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9788

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9788

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9785

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9713

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9707

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9650

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9578

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9575

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9574

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9505

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9500

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9459

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9433

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9428

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9308

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9220

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9168

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9129

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9129

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9099

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9032

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9028

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8971

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8937

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8924

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8831

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8734

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8703

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8678

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8508

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7988

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7980

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7902

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7802

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7521

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7244

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7236

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6977

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6920

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6868

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6792

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6732

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6662

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6640

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6564

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6336

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6326

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6150

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6108

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5737

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5707

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5597

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5591

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5555

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5332

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5226

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5106

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4627

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4591

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4578

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4554

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4482

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4480

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4478

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4468

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4009

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3886

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3786

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3696

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3590

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3325

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2807

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2795

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2371

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2347

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2281

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2260

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2160

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2021

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1962

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1910

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1600

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1567

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1545

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1425

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1409

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1408

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1381

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1331

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1252

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1091

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0829

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0771

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0762

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0749

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0711

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0637

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0616

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0568

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0527

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0511

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`)