TreeWAS – [R91] Abnormal findings on diagnostic imaging of lung

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
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.957	0.043	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.904	0.096	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.895	0.105	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.853	0.147	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.851	0.149	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.805	0.195	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.786	0.214	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.781	0.219	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.711	0.289	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.694	0.306	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.652	0.348	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.637	0.362	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.625	0.375	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.609	0.391	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.604	0.396	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.400	0.600
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.579	0.421	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.571	0.429	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.570	0.430	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.565	0.435	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.550	0.450	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.502	0.497	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.502	0.498	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.486	0.514	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.477	0.523	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.463	0.537	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.445	0.555	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.441	0.559	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.429	0.571	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.425	0.575	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.372	0.628	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.371	0.629	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.364	0.636	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.331	0.669	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.330	0.670	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.323	0.677	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.311	0.689	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.300	0.700	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.295	0.705	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.292	0.708	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.289	0.710	0.001
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.246	0.753	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.243	0.757	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.235	0.764	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.224	0.776	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.222	0.778	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.214	0.786	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.213	0.787	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.197	0.803	0.001
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.197	0.803	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.189	0.811	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.184	0.816	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.183	0.816	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.183	0.817	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.181	0.818	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.174	0.826	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.164	0.835	0.001
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.165	0.835	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.156	0.842	0.001
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.152	0.848	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.151	0.849	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.144	0.856	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.140	0.859	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.139	0.861	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.124	0.876	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.123	0.877	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.123	0.877	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.114	0.886	0.001
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.113	0.887	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.100	0.900	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.099	0.901	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.094	0.905	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.093	0.907	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.089	0.911	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.087	0.913	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.087	0.913	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.085	0.915	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.084	0.916	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.073	0.927	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.070	0.930	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.068	0.932	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.065	0.935	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.064	0.935	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.062	0.938	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.055	0.943	0.002
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.055	0.944	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.051	0.948	0.001
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.050	0.950	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.050	0.950	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.048	0.952	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.045	0.954	0.001
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.042	0.957	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.036	0.964	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.031	0.968	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.031	0.969	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.027	0.972	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.026	0.974	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.023	0.977	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.023	0.977	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.021	0.978	0.001
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.021	0.979	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.018	0.982	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	0.982	0.018
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.018	0.982	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.016	0.984	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.014	0.985	0.001
rs2326458 lBF = `0.0517866` Chr`16` : `84,987,679`	0.012	0.988	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.011	0.989	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.011	0.989	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.010	0.990	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.010	0.990	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.010	0.990	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.009	0.990	0.001
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.010	0.990	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.010	0.990	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.009	0.991	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.008	0.992	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.008	0.992	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.008	0.992	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.008	0.992	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.007	0.992	0.001
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.007	0.992	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.007	0.993	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.007	0.993	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.007	0.993	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.007	0.993	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.005	0.994	0.001
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.006	0.994	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.006	0.994	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.006	0.994	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.006	0.994	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.005	0.995	0.000
rs16961543 lBF = `-0.068759` Chr`16` : `59,940,188`	0.000	0.995	0.005
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.004	0.995	0.001
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.003	0.997	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	0.997	0.003
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.002	0.997	0.001
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.003	0.997	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.003	0.997	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.003	0.997	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.997	0.003
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.003	0.997	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.003	0.997	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs1478693 lBF = `0.0331999` Chr`16` : `7,164,219`	0.000	0.997	0.003
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.998	0.002
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.002	0.998	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.002	0.998	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.002	0.998	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.000	0.998	0.002
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.002	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.002	0.998	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.998	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.002	0.998	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.002	0.998	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.002	0.998	0.000
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.000	0.998	0.002
rs2288059 lBF = `-0.0247894` Chr`16` : `76,170,096`	0.000	0.998	0.002
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.001	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
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	0.999	0.001
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
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.001	0.999	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.001	0.999	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	0.999	0.001
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.001
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.001	0.999	0.000
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
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.001	0.999	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	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
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
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.000	0.999	0.001
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
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
rs115958457 lBF = `0` Chr`16` : `86,827,007`	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
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rs11648796 lBF = `-0.0731797` Chr`16` : `792,190`	0.000	1.000	0.000
rs4131099 lBF = `-0.0992902` Chr`16` : `51,330,531`	0.000	1.000	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	1.000	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs12935422 lBF = `-0.00267497` Chr`16` : `71,664,225`	0.000	1.000	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	1.000	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	1.000	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	1.000	0.000
rs35538253 lBF = `-0.0210536` Chr`16` : `71,677,975`	0.000	1.000	0.000
rs16946931 lBF = `-0.0440075` Chr`16` : `49,142,506`	0.000	1.000	0.000
rs2113334 lBF = `-0.072148` Chr`16` : `13,976,356`	0.000	1.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	1.000	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.000	1.000	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.000	1.000	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	1.000	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.000	1.000	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	1.000	0.000
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs8061903 lBF = `-0.0247667` Chr`16` : `9,382,329`	0.000	1.000	0.000
rs12924650 lBF = `-0.027911` Chr`16` : `71,705,908`	0.000	1.000	0.000
rs7191820 lBF = `-0.0443592` Chr`16` : `79,363,814`	0.000	1.000	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	1.000	0.000
rs1862746 lBF = `-0.0771389` Chr`16` : `60,462,358`	0.000	1.000	0.000
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.000	1.000	0.000
rs62070320 lBF = `15.294` Chr`16` : `89,573,689`	0.000	1.000	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.000	1.000	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs6499188 lBF = `1.3923` Chr`16` : `68,674,788`	0.000	1.000	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	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
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs300032 lBF = `-0.0533811` Chr`16` : `86,680,996`	0.000	1.000	0.000
rs4783244 lBF = `-0.0832544` Chr`16` : `82,662,268`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	1.000	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	1.000	0.000
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs194045 lBF = `-0.0083126` Chr`16` : `29,246,102`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	1.000	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	1.000	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs1962636 lBF = `-0.0196444` Chr`16` : `22,064,395`	0.000	1.000	0.000
rs2221433 lBF = `-0.0502745` Chr`16` : `10,663,627`	0.000	1.000	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	1.000	0.000
rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	1.000	0.000
rs11645781 lBF = `-0.109493` Chr`16` : `6,896,128`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	1.000	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs8046018 lBF = `8.23507` Chr`16` : `88,719,980`	0.000	1.000	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	1.000	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	1.000	0.000
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.000	1.000	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.000	1.000	0.000
rs7200786 lBF = `0.171329` Chr`16` : `11,177,801`	0.000	1.000	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	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

0.7186

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5997

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9998

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9987

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9983

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9974

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9971

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9957

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9956

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9823

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9818

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9779

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9760

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9739

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9431

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9374

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9363

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9231

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9179

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8933

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8483

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8383

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8334

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8087

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7966

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7822

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7580

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7355

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7144

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6964

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6288

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6185

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6063

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5855

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5808

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5309

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5274

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4932

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4266

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3807

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3794

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3712

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3484

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3309

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3272

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3023

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2828

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2613

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2589

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2355

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2238

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1638

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1525

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1220

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1199

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1187

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1085

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1027

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0967

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0828

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0706

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0573

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0544

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`)