TreeWAS – [O46] Antepartum haemorrhage, not elsewhere classified

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

O46

Antepartum haemorrhage, not elsewhere classified

Parent term	O30-O48 Maternal care related to the fetus and amniotic cavity and possible delivery problems
Nested terms	O46.0 Antepartum haemorrhage with coagulation defect O46.8 Other antepartum haemorrhage O46.9 Antepartum haemorrhage, unspecified

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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
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.980	0.020	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.825	0.175	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.821	0.179	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.759	0.241	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.742	0.258	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.735	0.264	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.725	0.274	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.707	0.293	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.704	0.296	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.692	0.308	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.677	0.323	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.673	0.327	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.671	0.329	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.669	0.331	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.642	0.358	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.631	0.369	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.621	0.379	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.610	0.389	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.604	0.396	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.593	0.407	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.584	0.416	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.542	0.458	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.535	0.465	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.516	0.484	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.512	0.488	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.504	0.496	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.495	0.505	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.480	0.520	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.477	0.522	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.447	0.553	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.433	0.567	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.408	0.592	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.396	0.604	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.389	0.610	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.382	0.618	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.322	0.677	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.302	0.698	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.301	0.699	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.295	0.705	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.293	0.707	0.001
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.285	0.715	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.276	0.724	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.271	0.729	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.259	0.741	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.238	0.761	0.001
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.235	0.765	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.232	0.767	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.214	0.785	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.213	0.787	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.196	0.803	0.001
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.176	0.824	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.172	0.828	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.166	0.833	0.001
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.163	0.837	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.161	0.839	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.121	0.879	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.092	0.908	0.001
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.081	0.919	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.076	0.924	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.072	0.928	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.070	0.930	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.064	0.936	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.059	0.941	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.058	0.942	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.055	0.945	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.053	0.947	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.046	0.954	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.044	0.955	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.042	0.958	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.037	0.963	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.033	0.967	0.001
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.032	0.967	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.032	0.968	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.019	0.979	0.001
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.019	0.981	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.018	0.982	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.018	0.982	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.017	0.983	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.017	0.983	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.016	0.984	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.015	0.984	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.015	0.985	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.015	0.985	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.012	0.988	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.012	0.988	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.011	0.989	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.007	0.993	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.007	0.993	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.007	0.993	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.006	0.994	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.005	0.994	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.995	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.995	0.005
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.005	0.995	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.004	0.995	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.004	0.996	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.004	0.996	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.004	0.996	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.004	0.996	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.004	0.996	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.003	0.996	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.004	0.996	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.996	0.003
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.997	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	0.997	0.003
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.003	0.997	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	0.997	0.003
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.002	0.998	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.002	0.998	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.002	0.998	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.002	0.998	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.002	0.998	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	0.998	0.002
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.998	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.001	0.998	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.002	0.998	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.998	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.001	0.998	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.001	0.999	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	0.999	0.001
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.001	0.999	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.001	0.999	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.001	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.001
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	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
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.001	0.999	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	0.999	0.001
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.001	0.999	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.001	0.999	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	0.999	0.001
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.001	0.999	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.001	0.999	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.999	0.001
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.001	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.001
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	0.999	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	1.000	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	1.000	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	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
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	1.000	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
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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
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	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
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	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
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	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
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	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
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	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
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	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
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	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
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.5642

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4286

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

1.0000

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9999

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9947

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9908

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9897

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9832

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9778

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9679

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9653

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9519

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9499

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9466

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9446

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9347

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9262

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9147

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9108

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8922

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8695

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8693

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8526

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8444

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8393

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8267

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8184

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8130

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8047

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7911

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7903

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7820

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7745

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7740

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7723

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7560

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7553

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7499

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7490

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7468

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7333

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7321

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7316

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7260

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7223

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7182

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7158

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7134

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7105

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7015

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6987

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6976

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6967

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6941

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6918

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6773

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6679

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6669

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6661

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6592

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6575

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6555

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6457

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6375

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6329

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6289

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6246

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6231

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6218

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6211

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6165

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6159

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6134

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6121

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6082

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6077

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5918

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5900

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5896

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5819

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5777

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5749

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5729

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5686

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5415

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5370

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5333

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5326

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5323

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5315

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5311

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5232

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5189

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5086

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5053

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5031

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4949

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4934

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4914

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4908

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4860

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4858

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4851

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4813

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4805

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4799

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4789

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4767

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4757

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4677

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4675

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4670

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4648

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4618

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4602

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4582

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4555

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4537

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4523

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4500

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4469

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4458

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4452

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4425

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4338

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4322

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4320

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4306

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4295

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4261

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4229

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4214

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4209

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4205

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4197

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4184

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4181

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4179

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4179

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4178

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4178

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4176

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4176

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4176

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4175

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4113

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4096

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4075

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4070

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4040

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4000

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3971

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3821

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3803

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3576

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3441

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3378

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3349

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3137

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2841

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2516

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2338

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1930

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1908

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1826

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1684

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1230

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1217

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1179

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1130

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0924

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0867

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0866

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0808

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0782

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0752

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0720

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0636

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0628

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0579

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0579

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0560

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`)