TreeWAS – [I78] Diseases of capillaries

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I78

Diseases of capillaries

Parent term	I70-I79 Diseases of arteries, arterioles and capillaries
Nested terms	I78.0 Hereditary haemorrhagic telangiectasia I78.1 Naevus, nonneoplastic I78.8 Other diseases of capillaries I78.9 Disease of capillaries, 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
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.877	0.123	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.694	0.306	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.666	0.334	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.652	0.348	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.652	0.348	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.651	0.349	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.643	0.357	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.641	0.359	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.640	0.360	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.625	0.375	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.620	0.380	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.614	0.386	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.613	0.386	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.611	0.389	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.609	0.391	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.599	0.401	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.598	0.402	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.597	0.402	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.597	0.403	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.587	0.413	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.566	0.434	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.565	0.435	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.563	0.437	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.560	0.440	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.553	0.447	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.535	0.465	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.534	0.465	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.528	0.472	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.527	0.473	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.510	0.489	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.508	0.492	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.485	0.515	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.478	0.522	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.472	0.528	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.472	0.528	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.457	0.543	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.455	0.545	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.454	0.546	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.439	0.561	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.391	0.609	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.385	0.615	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.363	0.637	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.362	0.638	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.352	0.648	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.332	0.668	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.328	0.672	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.319	0.680	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.289	0.711	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.286	0.713	0.001
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.281	0.718	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.273	0.727	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.263	0.737	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.251	0.749	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.244	0.756	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.243	0.756	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.242	0.757	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.240	0.759	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.230	0.770	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.221	0.779	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.214	0.786	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.205	0.795	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.164	0.836	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.163	0.837	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.155	0.844	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.154	0.845	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.127	0.872	0.001
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.115	0.885	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.109	0.891	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.101	0.899	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.090	0.910	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.079	0.921	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.078	0.922	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.066	0.934	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.064	0.935	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.064	0.936	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.062	0.938	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.056	0.943	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.045	0.955	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.029	0.971	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.026	0.974	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.018	0.981	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.016	0.984	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.986	0.014
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.014	0.986	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	0.987	0.013
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.012	0.987	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.011	0.989	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.011	0.989	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.010	0.990	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.009	0.991	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.009	0.991	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.992	0.007
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.007	0.993	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.006	0.994	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.006	0.994	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.005	0.995	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.004	0.996	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.004	0.996	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.004	0.996	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.003	0.996	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.003	0.997	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.997	0.003
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	0.997	0.003
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	0.997	0.003
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.003	0.997	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.002	0.998	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.998	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.002	0.998	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.002	0.998	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.002	0.998	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.002	0.998	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	0.998	0.002
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.001	0.998	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.001	0.998	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.001	0.999	0.001
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.001	0.999	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	0.999	0.001
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	0.999	0.001
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.001
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	0.999	0.001
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	0.999	0.001
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	0.999	0.001
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.001	0.999	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.001	0.999	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.001	0.999	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	0.999	0.001
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	0.999	0.001
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	0.999	0.001
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	0.999	0.001
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	0.999	0.001
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	0.999	0.001
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	0.999	0.001
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.001	0.999	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	0.999	0.001
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	0.999	0.001
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	0.999	0.001
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.001	0.999	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	0.999	0.001
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.001
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	0.999	0.001
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.001	0.999	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	0.999	0.001
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	0.999	0.001
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.001	0.999	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.001	0.999	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	0.999	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.001	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.999	0.001
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	0.999	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	0.999	0.001
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.999	0.001
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.999	0.001
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.999	0.001
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.999	0.001
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	0.999	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.999	0.001
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	0.999	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	0.999	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	0.999	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
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rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.000	1.000	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000

This table lists the top 491 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

0.3054

Cluster X0034

log Bayes Factor = 665.104

contains 16 variants

0.2614

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2076

Cluster X0282

log Bayes Factor = 38.0098

contains 3 variants

0.1745

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1362

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9938

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9923

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9898

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9877

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9763

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9638

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9599

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9578

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9541

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9519

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9493

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9489

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9387

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9297

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9214

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9156

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9127

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9125

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9090

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9084

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8952

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8935

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8890

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8787

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8781

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8646

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8603

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.8591

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8538

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8506

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8475

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8471

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8390

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8371

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.8285

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8281

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8204

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8197

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8152

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8097

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8081

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8019

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8016

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7973

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7923

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7907

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7893

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7890

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7804

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7787

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7742

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7688

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7677

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7628

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7577

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7563

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7548

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7532

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7422

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7419

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7418

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7395

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7391

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7369

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7218

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7176

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7117

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7095

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7086

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7045

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7026

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7005

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6973

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6946

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6891

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6878

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6827

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6818

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6796

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6729

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6684

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6677

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6658

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6632

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6613

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6601

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6600

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6579

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6574

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6549

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6547

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6521

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6491

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6481

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6468

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6428

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6427

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6427

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6388

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6317

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6315

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6298

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6246

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6188

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6169

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6108

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6104

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6088

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6079

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6074

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6015

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5993

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5969

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5956

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5928

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5923

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5897

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5875

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5844

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5792

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.5742

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5736

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.5725

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5573

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5546

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.5517

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5438

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5400

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5365

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5363

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5308

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5266

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5245

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5179

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5172

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5131

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5081

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5059

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5054

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5053

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5040

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5038

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4975

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4965

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4965

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4963

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4899

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4884

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4842

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4790

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4721

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4673

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4641

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4572

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.4563

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4538

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4530

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4513

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4463

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4413

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4372

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4345

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4342

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4278

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4241

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4207

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4204

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4170

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4017

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3769

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3760

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3667

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3609

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3602

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3311

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3243

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3233

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.3196

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3134

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2998

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2995

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2562

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.2328

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2158

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1956

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.1755

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1739

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1673

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1538

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1371

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1147

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0860

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0558

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0515

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`)