TreeWAS – [E21.3] Hyperparathyroidism, unspecified

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.842	0.158	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.726	0.274	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.709	0.291	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.693	0.307	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.608	0.392	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.605	0.395	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.568	0.432	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.537	0.463	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.481	0.519	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.477	0.523	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.473	0.527	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.468	0.532	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.465	0.535	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.443	0.557	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.442	0.557	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.440	0.560	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.400	0.600	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.387	0.613	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.380	0.620	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.379	0.620	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.378	0.621	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.374	0.626	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.373	0.627	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.370	0.630	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.369	0.631	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.363	0.637	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.359	0.641	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.346	0.654	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.342	0.657	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.341	0.659	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.341	0.659	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.328	0.671	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.327	0.673	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.317	0.682	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.312	0.688	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.293	0.707	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.289	0.711	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.288	0.712	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.281	0.718	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.281	0.719	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.280	0.720	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.268	0.731	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.265	0.735	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.262	0.738	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.254	0.745	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.246	0.753	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.228	0.772	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.223	0.776	0.001
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.220	0.780	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.218	0.782	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.217	0.783	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.215	0.784	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.213	0.787	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.199	0.801	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.190	0.810	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.188	0.812	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.185	0.815	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.179	0.821	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.165	0.835	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.153	0.846	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.149	0.850	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.145	0.854	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.139	0.861	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.116	0.884	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.113	0.887	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.111	0.888	0.002
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.102	0.897	0.001
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.100	0.900	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.091	0.909	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.084	0.916	0.001
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.084	0.916	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.082	0.917	0.001
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.081	0.918	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	0.927	0.073
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.073	0.927	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.067	0.931	0.001
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.065	0.935	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.063	0.937	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.052	0.948	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.048	0.952	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.048	0.952	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.045	0.955	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.035	0.965	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.034	0.966	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.032	0.968	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.031	0.969	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.030	0.970	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	0.973	0.027
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.025	0.974	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.024	0.975	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	0.976	0.024
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.020	0.980	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	0.981	0.019
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.016	0.984	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	0.984	0.016
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.014	0.986	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.013	0.987	0.001
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.011	0.988	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.011	0.989	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	0.990	0.010
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.009	0.991	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.008	0.992	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	0.992	0.008
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.008	0.992	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.008	0.992	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.007	0.993	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	0.993	0.007
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.006	0.993	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.005	0.994	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	0.995	0.005
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	0.995	0.005
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	0.996	0.004
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.004	0.996	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.996	0.003
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	0.996	0.004
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.997	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.003	0.997	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.003	0.997	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.003	0.997	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.003	0.997	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.003	0.997	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	0.998	0.002
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.002	0.998	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.998	0.002
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	0.998	0.002
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.998	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	0.998	0.002
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.002	0.998	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.002	0.998	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.998	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	0.998	0.002
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	0.998	0.002
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	0.998	0.002
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	0.998	0.002
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	0.999	0.001
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.001	0.999	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	0.999	0.001
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.999	0.001
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.001	0.999	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.999	0.001
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	0.999	0.001
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.999	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	0.999	0.001
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.001	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.001	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.001	0.999	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.000	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
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.001	0.999	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.001	0.999	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.001	0.999	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	0.999	0.001
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.001	0.999	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	0.999	0.001
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.001
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.001	0.999	0.000
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
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.001	0.999	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	0.999	0.001
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.001	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	0.999	0.001
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.001	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.001	0.999	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	0.999	0.001
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	0.999	0.001
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	0.999	0.001
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.001
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	0.999	0.001
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	0.999	0.001
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.001	0.999	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	0.999	0.001
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.001	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.999	0.001
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.001	0.999	0.000
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rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	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
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	1.000	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.000	1.000	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	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
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	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
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	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
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	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
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	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
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	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
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	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
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	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 X0116

log Bayes Factor = 12.7289

contains 3 variants

0.8776

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2249

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1123

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0525

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9961

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9946

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9909

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9906

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9850

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9805

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9721

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9678

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9525

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9441

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9429

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9383

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9364

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9036

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9016

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8973

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8944

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8879

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8840

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8785

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8630

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8511

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8377

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8329

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8272

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8099

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8044

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8037

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.7913

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7872

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7839

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7807

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7630

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7626

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7588

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7379

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7249

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7230

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7072

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7070

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6807

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6806

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6799

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6707

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6706

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6686

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6658

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6611

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6544

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6537

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6527

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6526

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6479

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6386

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6377

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6304

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6264

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6156

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6094

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5892

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5653

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5599

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5552

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5504

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5489

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5469

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5385

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5374

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5312

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5012

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4994

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4979

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4852

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4760

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4752

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4703

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4654

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4613

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4457

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4449

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4420

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4365

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4332

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4261

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4170

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4128

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4101

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4082

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4027

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4012

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4009

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3984

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3977

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3873

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3743

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3715

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3631

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3551

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3451

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3430

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3286

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3265

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3253

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3055

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3038

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2883

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2864

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2769

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2745

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2732

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2669

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2598

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2552

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2538

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2490

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2348

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2343

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2341

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2184

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2181

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2165

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2033

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2008

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1958

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1939

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1919

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1864

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1855

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1776

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1769

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1723

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1688

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1646

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1586

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1510

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.1504

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1491

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1438

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1381

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1321

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1321

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1266

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1229

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1222

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1214

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1187

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1151

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1075

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1074

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1007

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1004

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0969

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0958

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0878

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0877

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0871

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0836

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0835

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0779

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0757

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0745

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0696

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0648

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0602

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0576

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0571

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)