TreeWAS – [R03] Abnormal blood-pressure reading, without diagnosis

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R03

Abnormal blood-pressure reading, without diagnosis

Parent term	R00-R09 Symptoms and signs involving the circulatory and respiratory systems
Nested terms	R03.0 Elevated blood-pressure reading, without diagnosis of hypertension R03.1 Nonspecific low blood-pressure reading

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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`	0.897	0.103	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.884	0.116	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.836	0.164	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.831	0.169	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.819	0.181	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.813	0.187	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.782	0.218	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.734	0.266	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.732	0.268	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.728	0.272	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.275	0.725
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.682	0.318	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.665	0.335	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.649	0.351	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.641	0.359	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.631	0.369	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.614	0.386	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.573	0.427	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.570	0.430	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.566	0.434	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.557	0.442	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.547	0.453	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.537	0.463	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.525	0.474	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.523	0.477	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.500	0.500	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.499	0.501	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.497	0.503	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.490	0.510	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.488	0.512	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.487	0.513	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.486	0.513	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.480	0.520	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.477	0.523	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.470	0.530	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.466	0.534	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.444	0.556	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.385	0.615	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.375	0.625	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.361	0.639	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.359	0.641	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.345	0.654	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.345	0.655	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.344	0.656	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.271	0.729	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.268	0.732	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.264	0.736	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.248	0.752	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.240	0.760	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.217	0.783	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.192	0.808	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.159	0.841	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.157	0.843	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.147	0.853	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.130	0.870	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.129	0.871	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.125	0.875	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.120	0.880	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.112	0.887	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.112	0.888	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.110	0.890	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.107	0.893	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.107	0.893	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.104	0.896	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.102	0.898	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.100	0.900	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.098	0.902	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.090	0.910	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.090	0.910	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.082	0.918	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.081	0.919	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.079	0.921	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.078	0.922	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.074	0.926	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.072	0.928	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.065	0.934	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.059	0.941	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.047	0.953	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.042	0.958	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.042	0.958	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.041	0.959	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.040	0.960	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.035	0.965	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.030	0.969	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.026	0.973	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.025	0.975	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.024	0.976	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.024	0.976	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.023	0.976	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.019	0.981	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.019	0.981	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.018	0.982	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.014	0.985	0.001
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.014	0.986	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.014	0.986	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.014	0.986	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.013	0.987	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.012	0.988	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.011	0.989	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.010	0.990	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.010	0.990	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.010	0.990	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.009	0.991	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.009	0.991	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.008	0.992	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.007	0.993	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.006	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.006	0.994	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.005	0.995	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.005	0.995	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.005	0.995	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.005	0.995	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
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.004	0.996	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.004	0.996	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.004	0.996	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.003	0.997	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.003	0.997	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.003	0.997	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.002	0.998	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.002	0.998	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.002	0.998	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.002	0.998	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.002	0.998	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.002	0.998	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.002	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.002	0.998	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.002	0.998	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.002	0.998	0.000
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.002	0.998	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.002	0.998	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.001	0.998	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.998	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	0.999	0.001
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.001	0.999	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.000	0.999	0.001
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	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
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	0.999	0.001
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.001	0.999	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.001	0.999	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.001	0.999	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	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
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.999	0.001
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
rs73251207 lBF = `0` Chr`16` : `87,615,821`	0.001	0.999	0.001
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs114607539 lBF = `0` Chr`16` : `60,697,586`	0.001	0.999	0.001
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.001	0.999	0.000
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rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	1.000	0.000
rs4390574 lBF = `16.0988` Chr`16` : `88,776,297`	0.000	1.000	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	1.000	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	1.000	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	1.000	0.000
rs12446492 lBF = `6.16364` Chr`16` : `20,408,377`	0.000	1.000	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	1.000	0.000
rs1211375 lBF = `0.222355` Chr`16` : `240,280`	0.000	1.000	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	1.000	0.000
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.000	1.000	0.000
rs6500602 lBF = `0.0560949` Chr`16` : `4,497,451`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs11074683 lBF = `0.0333802` Chr`16` : `10,349,893`	0.000	1.000	0.000
rs10514550 lBF = `0.0287587` Chr`16` : `82,703,845`	0.000	1.000	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs2280381 lBF = `-0.0191041` Chr`16` : `86,018,633`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs2288059 lBF = `-0.0247894` Chr`16` : `76,170,096`	0.000	1.000	0.000
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.000	1.000	0.000
rs9302752 lBF = `-0.033716` Chr`16` : `50,719,103`	0.000	1.000	0.000
rs1345467 lBF = `-0.0451933` Chr`16` : `51,482,321`	0.000	1.000	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.000	1.000	0.000
rs11075138 lBF = `-0.0736825` Chr`16` : `12,723,811`	0.000	1.000	0.000
rs55637647 lBF = `-0.092831` Chr`16` : `88,549,264`	0.000	1.000	0.000
rs11645781 lBF = `-0.109493` Chr`16` : `6,896,128`	0.000	1.000	0.000
rs391855 lBF = `-0.122551` Chr`16` : `85,928,621`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	1.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	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
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	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
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.000	1.000	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	1.000	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	1.000	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs9921518 lBF = `-0.0463397` Chr`16` : `54,494,424`	0.000	1.000	0.000
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.000	1.000	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	1.000	0.000
rs12444268 lBF = `-0.0736532` Chr`16` : `20,342,572`	0.000	1.000	0.000
rs12708980 lBF = `-0.122958` Chr`16` : `57,012,379`	0.000	1.000	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.000	1.000	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.000	1.000	0.000
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	1.000	0.000
rs3112612 lBF = `0.875649` Chr`16` : `52,635,164`	0.000	1.000	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	1.000	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	1.000	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	1.000	0.000
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.000	1.000	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.000	1.000	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	1.000	0.000
rs12446301 lBF = `-0.00486397` Chr`16` : `82,697,661`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs1079572 lBF = `-0.0273694` Chr`16` : `78,187,138`	0.000	1.000	0.000
rs2080364 lBF = `-0.0370627` Chr`16` : `53,376,459`	0.000	1.000	0.000
rs2178146 lBF = `-0.0496594` Chr`16` : `86,463,695`	0.000	1.000	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	1.000	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	1.000	0.000
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.000	1.000	0.000
rs4485401 lBF = `-0.092486` Chr`16` : `76,566,157`	0.000	1.000	0.000
rs2288012 lBF = `-0.107255` Chr`16` : `58,327,646`	0.000	1.000	0.000
rs9940464 lBF = `-0.123422` Chr`16` : `83,360,775`	0.000	1.000	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	1.000	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	1.000	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	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

0.7247

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

1.0000

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9998

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9991

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9989

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9986

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9981

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9945

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9932

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9879

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9875

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9853

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9840

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9621

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9587

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9460

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9397

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9325

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9324

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8856

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8086

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7939

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7644

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7402

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7272

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7061

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6591

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6453

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6365

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5818

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5620

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5484

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5162

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4984

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4594

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4130

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3647

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3643

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3582

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3534

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3479

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3310

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3263

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3196

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3069

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3024

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2958

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2933

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2839

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2528

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2480

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2445

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2380

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2367

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2329

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2304

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2212

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2187

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2111

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2110

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2052

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1938

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1843

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1800

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1787

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1730

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1722

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1695

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1686

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1682

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1637

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1467

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1348

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1126

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1023

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0924

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0823

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0771

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0748

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0729

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0729

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0665

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0569

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0548

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0541

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0522

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`)