TreeWAS – [Z54] Convalescence

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
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.802	0.198	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.800	0.200	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.795	0.205	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.773	0.227	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.764	0.236	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.760	0.240	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.745	0.255	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.740	0.260	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.728	0.272	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.723	0.277	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.717	0.283	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.717	0.283	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.715	0.285	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.714	0.286	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.713	0.287	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.713	0.287	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.711	0.288	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.705	0.295	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.702	0.298	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.700	0.300	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.695	0.305	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.694	0.306	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.693	0.307	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.693	0.307	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.691	0.308	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.690	0.310	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.687	0.312	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.684	0.316	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.680	0.319	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.677	0.323	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.674	0.326	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.673	0.327	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.663	0.337	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.661	0.339	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.341	0.658
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.653	0.347	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.653	0.347	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.648	0.352	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.639	0.361	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.635	0.365	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.623	0.377	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.605	0.395	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.589	0.411	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.583	0.416	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.579	0.420	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.575	0.424	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.567	0.433	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.536	0.464	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.506	0.494	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.497	0.503	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.487	0.513	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.471	0.529	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.445	0.555	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.441	0.559	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.433	0.567	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.419	0.581	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.405	0.595	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.404	0.596	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.398	0.601	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.371	0.628	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.370	0.629	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.338	0.662	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.323	0.677	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.317	0.683	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.304	0.696	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.300	0.700	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.277	0.723	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.275	0.725	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.255	0.745	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.219	0.781	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.214	0.786	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.213	0.786	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.201	0.799	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.175	0.825	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.164	0.836	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.162	0.838	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.157	0.843	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.156	0.844	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.135	0.865	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.129	0.871	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.127	0.873	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.119	0.881	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.119	0.881	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.103	0.897	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.101	0.898	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.092	0.908	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.087	0.913	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.085	0.915	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.080	0.920	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.079	0.921	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.068	0.932	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.067	0.933	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.066	0.934	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.062	0.938	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.057	0.942	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.053	0.947	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.051	0.949	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.051	0.949	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.048	0.952	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.039	0.961	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.035	0.965	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.032	0.968	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.031	0.969	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.027	0.973	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.027	0.973	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.026	0.974	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.026	0.974	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.023	0.977	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.023	0.977	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.022	0.978	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.020	0.980	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.019	0.981	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.018	0.982	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.018	0.982	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.018	0.982	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.018	0.982	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.017	0.983	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.016	0.984	0.000
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.014	0.986	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.014	0.986	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.013	0.987	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.013	0.987	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.012	0.988	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.011	0.988	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.011	0.989	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.011	0.989	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.011	0.989	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.010	0.990	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.010	0.990	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.010	0.990	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.009	0.991	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.009	0.991	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.008	0.992	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.007	0.992	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.007	0.993	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.007	0.993	0.000
rs12446552 lBF = `0.174065` Chr`16` : `11,720,066`	0.006	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.006	0.994	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.006	0.994	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.005	0.994	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.005	0.994	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.005	0.995	0.000
rs8060598 lBF = `0.44141` Chr`16` : `50,781,802`	0.000	0.995	0.005
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.005	0.995	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.005	0.995	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.004	0.996	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.003	0.997	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.003	0.997	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.003	0.997	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.002	0.997	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs7204230 lBF = `-0.0418398` Chr`16` : `53,192,331`	0.002	0.998	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.002	0.998	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.000	0.998	0.002
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.000	0.998	0.002
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.998	0.000
rs4781011 lBF = `-0.0201332` Chr`16` : `10,975,311`	0.002	0.998	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.001	0.998	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.001	0.998	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.000	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
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
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.001	0.999	0.000
rs154659 lBF = `11.5804` Chr`16` : `89,667,337`	0.001	0.999	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	0.999	0.001
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	0.999	0.001
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.001	0.999	0.000
rs427576 lBF = `-0.0451154` Chr`16` : `73,829,270`	0.000	0.999	0.001
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	0.999	0.001
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.001	0.999	0.001
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
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
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
rs79206939 lBF = `0` Chr`16` : `53,860,052`	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
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
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rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs56213767 lBF = `0.62151` Chr`16` : `15,379,572`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs7186128 lBF = `0.0257583` Chr`16` : `16,957,915`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs17550532 lBF = `0.0223653` Chr`16` : `9,744,095`	0.000	1.000	0.000
rs11649112 lBF = `0.0180939` Chr`16` : `13,361,411`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.000	1.000	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	1.000	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	1.000	0.000
rs8064100 lBF = `-0.074714` Chr`16` : `56,725,173`	0.000	1.000	0.000
rs9940536 lBF = `-0.0752707` Chr`16` : `79,155,917`	0.000	1.000	0.000
rs433598 lBF = `-0.0788765` Chr`16` : `20,680,206`	0.000	1.000	0.000
rs12708980 lBF = `-0.122958` Chr`16` : `57,012,379`	0.000	1.000	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.000	1.000	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	1.000	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	1.000	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	1.000	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	1.000	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.000	1.000	0.000
rs1211375 lBF = `0.222355` Chr`16` : `240,280`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	1.000	0.000
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	0.000	1.000	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	1.000	0.000
rs4985155 lBF = `0.00464272` Chr`16` : `15,129,459`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	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
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.000	1.000	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.000	1.000	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	0.000	1.000	0.000
rs1560104 lBF = `-0.072262` Chr`16` : `12,708,208`	0.000	1.000	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.000	1.000	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.000	1.000	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs71390846 lBF = `2.1335` Chr`16` : `86,714,715`	0.000	1.000	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	1.000	0.000
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.000	1.000	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs249954 lBF = `0.435359` Chr`16` : `23,640,467`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.000	1.000	0.000
rs9922678 lBF = `0.176249` Chr`16` : `9,946,319`	0.000	1.000	0.000
rs2047937 lBF = `0.174104` Chr`16` : `49,864,791`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs12928822 lBF = `0.0935872` Chr`16` : `11,403,893`	0.000	1.000	0.000
rs4784934 lBF = `0.0912296` Chr`16` : `58,459,926`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs12927205 lBF = `0.0509957` Chr`16` : `72,025,077`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs12149074 lBF = `0.0293647` Chr`16` : `80,105,866`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	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
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
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs1035560 lBF = `0.00137358` Chr`16` : `72,032,730`	0.000	1.000	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6583

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6275

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9793

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9785

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9761

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9730

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9681

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9638

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9618

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9616

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9608

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9605

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9571

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9538

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9487

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9415

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9406

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9403

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9397

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9395

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9386

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9329

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9316

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9316

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9263

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9250

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9210

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9201

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9201

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9176

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9174

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9167

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9154

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9141

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9088

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9032

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8992

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8986

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8962

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8948

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8941

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8911

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8903

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8895

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8894

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8845

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8812

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8797

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8771

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8764

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8719

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8704

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8675

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8639

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8634

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8584

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8547

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8529

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8510

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8501

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8476

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8427

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8399

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8379

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8358

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8277

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8263

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8261

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8259

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8240

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8224

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8224

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8217

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8107

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8091

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8038

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7999

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7980

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7969

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7943

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7935

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7888

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7877

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7829

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7815

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7773

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7753

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7727

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7672

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7624

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7601

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7579

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7577

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7559

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7519

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7517

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7425

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7421

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7417

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7410

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7389

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7352

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7305

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7242

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7194

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7182

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7169

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7169

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7169

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7158

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7077

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7068

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6988

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6958

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6817

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6750

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6716

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6692

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6608

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6390

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6325

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5909

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5887

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5841

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5768

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5601

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5407

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5176

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5167

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5109

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4888

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4857

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4741

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4554

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4496

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4257

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4205

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4192

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4099

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4062

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3517

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3494

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3409

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3169

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2904

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2836

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2674

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2616

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2499

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2493

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2384

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1996

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1660

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1485

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1480

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1261

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1116

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1088

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0953

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0939

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0926

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0799

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0736

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0671

Cluster X0291

log Bayes Factor = 303.055

contains 4 variants

0.0568

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0533

Cluster X0012

log Bayes Factor = 112.432

contains 5 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.

Parent term	Z40-Z54 Persons encountering health services for specific procedures and health care
Nested terms	Z54.0 Convalescence following surgery Z54.1 Convalescence following radiotherapy Z54.2 Convalescence following chemotherapy Z54.3 Convalescence following psychotherapy Z54.4 Convalescence following treatment of fracture Z54.7 Convalescence following combined treatment Z54.8 Convalescence following other treatment Z54.9 Convalescence following unspecified treatment

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`)