TreeWAS – [O72] Postpartum haemorrhage

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

O72

Postpartum haemorrhage

Parent term	O60-O75 Complications of labour and delivery
Nested terms	O72.0 Third-stage haemorrhage O72.1 Other immediate postpartum haemorrhage O72.2 Delayed and secondary postpartum haemorrhage O72.3 Postpartum coagulation defects

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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
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.911	0.089	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.860	0.140	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.838	0.162	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.799	0.201	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.775	0.225	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.740	0.259	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.737	0.263	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.709	0.291	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.708	0.291	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.708	0.292	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.656	0.344	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.633	0.367	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.603	0.396	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.580	0.420	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.575	0.425	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.561	0.439	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.557	0.443	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.538	0.462	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.535	0.465	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.527	0.473	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.523	0.477	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.521	0.478	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.509	0.491	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.474	0.526	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.461	0.539	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.439	0.561	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.428	0.572	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.413	0.587	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.396	0.604	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.383	0.617	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.361	0.639	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.360	0.640	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.359	0.641	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.351	0.649	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.316	0.684	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.304	0.696	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.255	0.745	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.241	0.758	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.219	0.781	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.201	0.799	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.199	0.801	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.186	0.814	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.177	0.823	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.173	0.826	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.163	0.836	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.159	0.841	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.151	0.849	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.136	0.863	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.132	0.868	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.111	0.889	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.110	0.890	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.101	0.899	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.081	0.919	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.074	0.926	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.073	0.927	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.066	0.934	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.062	0.938	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.059	0.940	0.002
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.057	0.943	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.057	0.943	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.054	0.946	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.052	0.947	0.001
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.052	0.947	0.001
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.050	0.949	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.049	0.951	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.041	0.959	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.032	0.967	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.031	0.969	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.970	0.030
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.025	0.975	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.025	0.975	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.022	0.978	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.021	0.978	0.001
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.021	0.979	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.020	0.980	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	0.985	0.015
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.010	0.990	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.010	0.990	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.009	0.991	0.001
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.009	0.991	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.008	0.992	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.008	0.992	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.008	0.992	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.006	0.993	0.001
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	0.993	0.007
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.007	0.993	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.007	0.993	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.006	0.994	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.006	0.994	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.005	0.994	0.001
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.995	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.005	0.995	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.005	0.995	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.005	0.995	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.005	0.995	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.004	0.995	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.004	0.995	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.004	0.996	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.003	0.997	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.997	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.003	0.997	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.002	0.998	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.002	0.998	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.002	0.998	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.002	0.998	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.001	0.998	0.001
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.002	0.998	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.001	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.001	0.999	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.001	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.001
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.001	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	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
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.001	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	0.999	0.001
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	0.999	0.001
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	0.999	0.001
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	0.999	0.001
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	0.999	0.001
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	0.999	0.001
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	0.999	0.001
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.001	0.999	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.001
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	0.999	0.001
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.001
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.999	0.001
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.001	0.999	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	0.999	0.001
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	0.999	0.001
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.001
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.001	0.999	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.001	0.999	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.999	0.001
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.001
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.001	0.999	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.001	0.999	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.000	0.999	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	0.999	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	0.999	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	1.000	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	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
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	1.000	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
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rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	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
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	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
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	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
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	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
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	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
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	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
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	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
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	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
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	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
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	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
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.9147

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7935

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

1.0000

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

1.0000

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

1.0000

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9999

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9998

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9996

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9983

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9977

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9974

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9965

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9942

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9940

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9905

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9819

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9816

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9815

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9806

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9633

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9621

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9619

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9588

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9500

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9500

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9487

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9465

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9399

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9355

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9230

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9161

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9155

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9154

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9130

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9103

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9079

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.9040

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9035

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8940

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8856

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8826

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8758

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8625

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8436

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8326

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8274

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8273

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8229

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8178

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7983

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7975

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7939

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7827

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7789

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7772

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7737

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7648

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7625

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7543

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7529

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7511

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7507

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7459

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7436

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7426

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7315

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7256

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7219

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7118

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6985

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6931

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6917

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6850

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6644

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6583

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6293

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6259

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6237

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6206

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6009

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5817

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5786

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5734

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5726

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5529

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5464

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5443

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5410

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5394

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5286

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5210

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5202

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5190

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5187

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5093

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5011

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4882

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4846

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4820

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4684

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4674

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4491

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4357

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4345

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4313

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4212

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4052

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4011

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3874

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3830

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3816

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3805

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3785

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3704

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3420

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3349

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3112

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2770

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2679

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2567

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2483

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2460

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2455

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2277

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2271

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2233

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2162

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2157

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2149

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2086

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2074

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1842

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1787

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1780

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1752

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1745

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1605

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1534

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1376

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1334

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1304

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1258

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1174

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1080

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1053

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0975

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0876

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0865

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0850

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0829

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0805

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0750

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0729

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0688

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0683

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0666

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0629

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0607

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0576

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0574

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0522

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0512

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

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

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

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)