TreeWAS – [R79] Other abnormal findings of blood chemistry

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R79

Other abnormal findings of blood chemistry

Parent term	R70-R79 Abnormal findings on examination of blood, without diagnosis
Nested terms	R79.0 Abnormal level of blood mineral R79.8 Other specified abnormal findings of blood chemistry R79.9 Abnormal finding of blood chemistry, unspecified

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Variant effects

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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
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.940	0.060	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.892	0.108	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.860	0.140	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.851	0.149	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.849	0.151	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.763	0.237	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.759	0.241	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.689	0.311	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.660	0.340	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.656	0.344	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.639	0.361	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.616	0.384	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.594	0.406	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.581	0.419	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.576	0.424	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.566	0.434	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.564	0.436	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.558	0.442	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.516	0.484	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.508	0.492	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.497	0.503	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.494	0.506	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.487	0.513	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.486	0.514	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.477	0.523	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.452	0.548	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.452	0.548	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.448	0.552	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.443	0.557	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.438	0.561	0.001
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.436	0.564	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.418	0.582	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.414	0.586	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.406	0.593	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.388	0.612	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.381	0.619	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.378	0.622	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.365	0.635	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.360	0.640	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.356	0.644	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.353	0.647	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.344	0.655	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.317	0.682	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.304	0.696	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.722	0.278
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.270	0.730	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.263	0.737	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.260	0.740	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.249	0.751	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.248	0.752	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.245	0.755	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.225	0.775	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.225	0.775	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.221	0.779	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.220	0.780	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.219	0.781	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.218	0.781	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.217	0.783	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.205	0.795	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.201	0.798	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.200	0.800	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.193	0.807	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.178	0.822	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.178	0.822	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.177	0.823	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.169	0.831	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.157	0.843	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.154	0.846	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.139	0.861	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.132	0.868	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.131	0.869	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.129	0.871	0.001
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.128	0.872	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.127	0.873	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.125	0.875	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.117	0.882	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.109	0.890	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.094	0.905	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.091	0.909	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.090	0.910	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.084	0.915	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.082	0.918	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.080	0.920	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.080	0.920	0.001
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.073	0.926	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.070	0.930	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.069	0.931	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.067	0.933	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.061	0.939	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.060	0.940	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.059	0.941	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.058	0.941	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.055	0.945	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.048	0.952	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.043	0.957	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.042	0.958	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.041	0.959	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.038	0.962	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.036	0.964	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.034	0.966	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.031	0.969	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.028	0.971	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.027	0.973	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.026	0.974	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.025	0.975	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.021	0.979	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.021	0.979	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.019	0.981	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.017	0.983	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.015	0.985	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.015	0.985	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.014	0.986	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.013	0.987	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.012	0.988	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.012	0.988	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.012	0.988	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.011	0.989	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.011	0.989	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.011	0.989	0.000
rs2716601 lBF = `-0.110811` Chr`16` : `74,076,252`	0.008	0.992	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.008	0.992	0.000
rs13333054 lBF = `-0.0287458` Chr`16` : `86,011,033`	0.000	0.992	0.008
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.007	0.993	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.007	0.993	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.006	0.994	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.005	0.995	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.005	0.995	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.005	0.995	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.005	0.995	0.000
rs8049603 lBF = `-0.0777599` Chr`16` : `23,067,260`	0.005	0.995	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.005	0.995	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.004	0.996	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.004	0.996	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.004	0.996	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.004	0.996	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	0.996	0.004
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.004	0.996	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.004	0.996	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.003	0.996	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.003	0.997	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.003	0.997	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.003	0.997	0.000
rs3784962 lBF = `-0.11486` Chr`16` : `83,757,328`	0.000	0.997	0.003
rs11859517 lBF = `-0.0592355` Chr`16` : `53,181,247`	0.000	0.997	0.003
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.003	0.997	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.003	0.997	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs7204230 lBF = `-0.0418398` Chr`16` : `53,192,331`	0.000	0.997	0.003
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.003	0.997	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	0.998	0.002
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.002	0.998	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.002	0.998	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.002	0.998	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.998	0.002
rs1862746 lBF = `-0.0771389` Chr`16` : `60,462,358`	0.002	0.998	0.000
rs4561483 lBF = `0.00633995` Chr`16` : `11,920,037`	0.000	0.998	0.002
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.002	0.998	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	0.000	0.998	0.002
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.002	0.998	0.000
rs2541522 lBF = `-0.00790646` Chr`16` : `10,750,548`	0.002	0.998	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.002	0.998	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	0.998	0.002
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
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.002	0.998	0.000
rs2266928 lBF = `-0.0690413` Chr`16` : `580,124`	0.002	0.998	0.000
rs9922619 lBF = `40.3298` Chr`16` : `53,831,771`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.001	0.998	0.000
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.000	0.998	0.002
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.998	0.001
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.001	0.998	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.001	0.998	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.001	0.999	0.000
rs6564851 lBF = `-0.122217` Chr`16` : `81,264,597`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	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
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
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	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
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	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
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.000	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
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rs11642377 lBF = `0.0413304` Chr`16` : `20,109,653`	0.000	1.000	0.000
rs12924103 lBF = `0.0410934` Chr`16` : `20,094,546`	0.000	1.000	0.000
rs10521114 lBF = `0.0406485` Chr`16` : `20,089,754`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs7185264 lBF = `0.0232121` Chr`16` : `20,094,886`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs1962636 lBF = `-0.0196444` Chr`16` : `22,064,395`	0.000	1.000	0.000
rs2080454 lBF = `-0.0203477` Chr`16` : `49,062,590`	0.000	1.000	0.000
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.000	1.000	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	1.000	0.000
rs9921518 lBF = `-0.0463397` Chr`16` : `54,494,424`	0.000	1.000	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	1.000	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	1.000	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs7201408 lBF = `0.0256906` Chr`16` : `20,094,054`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.000	1.000	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	1.000	0.000
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	1.000	0.000
rs2280381 lBF = `-0.0191041` Chr`16` : `86,018,633`	0.000	1.000	0.000
rs35538253 lBF = `-0.0210536` Chr`16` : `71,677,975`	0.000	1.000	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	1.000	0.000
rs2288059 lBF = `-0.0247894` Chr`16` : `76,170,096`	0.000	1.000	0.000
rs2334880 lBF = `-0.0266701` Chr`16` : `71,653,637`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.000	1.000	0.000
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	1.000	0.000
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.000	1.000	0.000
rs4467099 lBF = `-0.06859` Chr`16` : `11,542,894`	0.000	1.000	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	1.000	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	1.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	1.000	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	1.000	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	1.000	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	1.000	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.000	1.000	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	1.000	0.000
rs7185923 lBF = `0.37497` Chr`16` : `51,245,487`	0.000	1.000	0.000
rs12051443 lBF = `0.284452` Chr`16` : `71,691,329`	0.000	1.000	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	1.000	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	1.000	0.000
rs2307022 lBF = `0.14837` Chr`16` : `68,381,978`	0.000	1.000	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.000	1.000	0.000
rs2326458 lBF = `0.0517866` Chr`16` : `84,987,679`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	1.000	0.000
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs5817082 lBF = `0.00299668` Chr`16` : `56,997,349`	0.000	1.000	0.000
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	1.000	0.000
rs3213473 lBF = `-0.0123756` Chr`16` : `16,256,767`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	1.000	0.000
rs13332649 lBF = `-0.0233194` Chr`16` : `85,966,683`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs12924650 lBF = `-0.027911` Chr`16` : `71,705,908`	0.000	1.000	0.000
rs12920890 lBF = `-0.0293134` Chr`16` : `71,787,588`	0.000	1.000	0.000
rs17338034 lBF = `-0.0375197` Chr`16` : `51,357,482`	0.000	1.000	0.000
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.000	1.000	0.000
rs10083777 lBF = `-0.0441441` Chr`16` : `81,065,282`	0.000	1.000	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	1.000	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	1.000	0.000
rs350245 lBF = `-0.0808621` Chr`16` : `12,200,115`	0.000	1.000	0.000
rs9940464 lBF = `-0.123422` Chr`16` : `83,360,775`	0.000	1.000	0.000
rs9933309 lBF = `25.7741` Chr`16` : `88,844,932`	0.000	1.000	0.000
rs11642231 lBF = `17.8952` Chr`16` : `89,608,702`	0.000	1.000	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	1.000	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.000	1.000	0.000
rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	1.000	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	1.000	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	1.000	0.000
rs164748 lBF = `2.78549` Chr`16` : `89,708,292`	0.000	1.000	0.000
rs749671 lBF = `1.417` Chr`16` : `31,088,347`	0.000	1.000	0.000
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.000	1.000	0.000
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.000	1.000	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs4889009 lBF = `0.0801592` Chr`16` : `79,700,447`	0.000	1.000	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs12926729 lBF = `0.0441419` Chr`16` : `20,100,370`	0.000	1.000	0.000
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	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 X0317

log Bayes Factor = 95.4365

contains 2 variants

0.5879

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2775

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1512

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9998

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9995

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9978

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9944

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9920

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9920

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9879

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9849

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9806

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9787

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9777

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9764

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9761

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9706

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9687

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9685

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9656

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9535

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9515

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9445

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9379

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9331

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9229

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9206

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9092

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9065

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9055

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9006

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8911

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8893

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8643

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8599

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8581

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8449

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8447

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8380

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8371

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8345

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8322

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8216

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7796

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7784

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7638

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7378

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7334

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7319

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7187

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7104

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7104

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7088

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7044

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.7036

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6604

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6517

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6470

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6447

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6377

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6151

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6148

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6010

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5781

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5760

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5690

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5646

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5566

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5424

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5411

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5369

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5366

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5289

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5165

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5162

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5153

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5107

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4991

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4972

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4971

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4792

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4755

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4719

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4389

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4318

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4105

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4061

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4058

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3833

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3719

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3715

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3674

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3625

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3412

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3382

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3373

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3365

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3348

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3341

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3207

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3203

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3197

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3193

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3179

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3164

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3079

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3054

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2982

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2908

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2793

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2681

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2643

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2584

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2540

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2334

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2224

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2212

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2201

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2156

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1968

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1812

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1801

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1793

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1783

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1778

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1776

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1772

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1732

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1677

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1605

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1398

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1335

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1311

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1309

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1202

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1163

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1078

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1021

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1009

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1007

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0979

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0976

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0938

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0907

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0902

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0901

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0894

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0888

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0867

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0819

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0722

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0717

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0705

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0691

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0638

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0627

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0587

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0576

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0572

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0567

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0541

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0512

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)

Hospitalization Episode Statistics (`HES`)