TreeWAS – [I26-I28] Pulmonary heart disease and diseases of pulmonary circulation

Download association data
for this term in csv format

Share this page

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I26-I28

Pulmonary heart disease and diseases of pulmonary circulation

Parent term	Chapter IX Diseases of the circulatory system
Nested terms	I26 Pulmonary embolism I27 Other pulmonary heart diseases I28 Other diseases of pulmonary vessels

What are diagnostic terms?

Variant effects

Click on a variant to see its association results.

Download this figure in format

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
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.996	0.004	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.963	0.037	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.953	0.047	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.951	0.049	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.943	0.057	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.922	0.078	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.901	0.099	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.890	0.110	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.890	0.110	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.880	0.120	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.862	0.138	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.854	0.146	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.846	0.154	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.846	0.154	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.827	0.173	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.812	0.188	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.808	0.192	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.807	0.193	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.788	0.212	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.772	0.228	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.768	0.232	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.767	0.233	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.760	0.240	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.759	0.241	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.740	0.260	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.705	0.295	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.672	0.328	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.668	0.331	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.664	0.336	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.646	0.354	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.645	0.355	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.642	0.358	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.632	0.368	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.618	0.382	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.605	0.395	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.601	0.398	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.601	0.399	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.597	0.403	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.591	0.408	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.590	0.410	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.570	0.429	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.560	0.440	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.556	0.444	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.552	0.448	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.539	0.461	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.537	0.462	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.526	0.474	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.522	0.478	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.506	0.494	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.505	0.494	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.503	0.496	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.478	0.522	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.476	0.524	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.471	0.528	0.001
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.471	0.529	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.434	0.566	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.414	0.586	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.328	0.672	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.304	0.696	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.289	0.710	0.001
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.289	0.711	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.285	0.715	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.277	0.723	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.276	0.724	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.262	0.738	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.237	0.763	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.228	0.771	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.165	0.834	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.156	0.843	0.001
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.124	0.876	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.120	0.880	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.119	0.881	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.087	0.913	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.080	0.920	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.080	0.920	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.070	0.930	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.069	0.931	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.053	0.931	0.016
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.067	0.933	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.063	0.937	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.042	0.958	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.035	0.960	0.005
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.040	0.960	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.039	0.961	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.034	0.961	0.005
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.034	0.965	0.002
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.031	0.967	0.002
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.030	0.969	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.969	0.031
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.028	0.970	0.002
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.029	0.971	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.018	0.982	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.017	0.983	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.016	0.984	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.012	0.988	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.989	0.010
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.011	0.989	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.008	0.992	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.994	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.006	0.994	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.005	0.995	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.004	0.996	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.997	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.003	0.997	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.998	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.002	0.998	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.002	0.998	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.002	0.998	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.998	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.001	0.998	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.998	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.002	0.998	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.001	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.001	0.999	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.001	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.001	0.999	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
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
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
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.001	0.999	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	0.999	0.001
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.001	0.999	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.001	0.999	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.001	0.999	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.001	0.999	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.001	0.999	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.001	0.999	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	0.999	0.001
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.000	0.999	0.001
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.001	0.999	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.001	0.999	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.001	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	1.000	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	1.000	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	1.000	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	1.000	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	1.000	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	1.000	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	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
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	1.000	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	1.000	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	1.000	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	1.000	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	1.000	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	1.000	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.000	1.000	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	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
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	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
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	1.000	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.000	1.000	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	1.000	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.000	1.000	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	1.000	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	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
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	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
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	1.000	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.000	1.000	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	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
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	1.000	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	1.000	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	1.000	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	1.000	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	1.000	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	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

0.9881

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.6692

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.6455

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.2887

Cluster X0034

log Bayes Factor = 665.104

contains 16 variants

0.1667

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

1.0000

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

1.0000

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9999

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.9999

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9998

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9997

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9997

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9997

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9997

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9996

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9996

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9996

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9995

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9993

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9991

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9991

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9989

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9988

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9981

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9979

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9976

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9973

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9972

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9962

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9958

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9954

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9949

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9947

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9946

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9935

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9929

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9918

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9916

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9907

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9901

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9888

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9849

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9842

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9840

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9827

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9806

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9796

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9783

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.9774

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9774

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9713

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9712

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9665

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9659

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9651

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9629

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9601

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9563

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9508

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9498

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9426

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9404

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9403

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9399

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9388

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9381

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9306

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9293

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9278

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9271

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9234

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9192

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9097

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9095

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9082

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9058

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8997

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8997

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8977

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8961

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8858

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8831

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8826

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8795

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8733

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8726

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8713

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8687

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8685

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8620

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8607

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.8515

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8417

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8414

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8351

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8176

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8167

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8136

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8038

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8009

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7988

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7952

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7889

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7877

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7843

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7805

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7731

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7653

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7531

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7512

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7419

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7416

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7375

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7229

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7221

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7145

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7000

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6965

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6950

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6820

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6806

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.6802

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6780

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6748

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6712

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6660

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6637

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6623

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6579

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6576

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6513

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6371

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6293

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6293

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6266

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6256

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6230

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6012

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5952

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5871

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5824

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.5790

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5641

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5599

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5593

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5565

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5540

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5443

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5390

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5338

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5328

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5273

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5263

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5261

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5205

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5195

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5047

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5046

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4914

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4908

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4893

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4853

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4761

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4592

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4529

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4465

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4413

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4392

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4369

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4285

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4285

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4284

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4235

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4175

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4164

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4100

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4064

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4044

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4013

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4009

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.3813

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3801

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3769

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3765

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3762

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3716

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3589

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3589

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.3579

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3484

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3456

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3446

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.3415

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3409

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3243

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3100

Cluster X0135

log Bayes Factor = 161.721

contains 3 variants

0.3035

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3019

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3005

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2766

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2649

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.2601

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2444

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.2369

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.2111

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1881

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1658

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1542

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0809

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0546

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`)