TreeWAS – [O99.2] Endocrine, nutritional and metabolic diseases complicating pregnancy, childbirth and the puerperium

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
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.693	0.307	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.663	0.337	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.633	0.367	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.588	0.412	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.559	0.441	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.551	0.448	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.531	0.469	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.511	0.488	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.498	0.502	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.489	0.511	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.487	0.513	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.466	0.534	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.459	0.541	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.447	0.553	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.433	0.567	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.430	0.570	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.415	0.584	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.410	0.590	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.373	0.627	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.363	0.636	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.358	0.642	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.347	0.653	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.339	0.660	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.320	0.680	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.319	0.681	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.319	0.681	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.309	0.691	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.297	0.703	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.291	0.709	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.288	0.712	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.271	0.729	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.270	0.729	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.270	0.730	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.264	0.735	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.258	0.741	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.255	0.745	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.251	0.749	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.247	0.753	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.243	0.756	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.239	0.760	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.222	0.778	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.217	0.783	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.213	0.786	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.203	0.796	0.001
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.193	0.806	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.188	0.812	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.187	0.813	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.167	0.833	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.154	0.845	0.001
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.141	0.858	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.141	0.859	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.140	0.859	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.125	0.875	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.108	0.891	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.107	0.893	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.093	0.907	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.091	0.908	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.076	0.924	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.071	0.929	0.001
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.067	0.933	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`	0.063	0.936	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.059	0.941	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.059	0.941	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.057	0.942	0.001
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.048	0.951	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.043	0.955	0.001
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.043	0.956	0.001
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.042	0.957	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.040	0.960	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.040	0.960	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.039	0.961	0.001
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.028	0.971	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.026	0.974	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.026	0.974	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.023	0.976	0.001
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.023	0.976	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.022	0.978	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.020	0.980	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.019	0.981	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.017	0.982	0.001
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.018	0.982	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.013	0.987	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.012	0.987	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.012	0.988	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.011	0.989	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.011	0.989	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.009	0.990	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.009	0.991	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.008	0.991	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.006	0.992	0.001
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	0.993	0.007
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.993	0.007
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.006	0.993	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.006	0.994	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.005	0.995	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	0.995	0.005
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.004	0.995	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.004	0.996	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	0.996	0.004
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.003	0.996	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.003	0.997	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.997	0.003
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.003	0.997	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.003	0.997	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.997	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.002	0.998	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.002	0.998	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.002	0.998	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.002	0.998	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.002	0.998	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.002	0.998	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.002	0.998	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	0.998	0.002
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.998	0.001
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	0.998	0.001
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.001
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.001	0.999	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.001	0.999	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.001	0.999	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.001	0.999	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	0.999	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	0.999	0.001
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	0.999	0.001
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	0.999	0.001
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.001	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	0.999	0.001
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.001	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	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
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.001	0.999	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.001
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	0.999	0.001
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	0.999	0.001
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.001	0.999	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	0.999	0.001
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.001	0.999	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.001	0.999	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.001	0.999	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.001	0.999	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.001	0.999	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	0.999	0.001
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	0.999	0.001
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	0.999	0.001
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.001	0.999	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.001
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.001	0.999	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.001	0.999	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.001	0.999	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	0.999	0.001
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	0.999	0.001
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.001	0.999	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	0.999	0.001
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.001	0.999	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	0.999	0.001
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.001	0.999	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.001	0.999	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.001	0.999	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.001	0.999	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	0.999	0.001
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.001	0.999	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	0.999	0.001
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.001
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	0.999	0.001
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.001	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.999	0.001
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	0.999	0.001
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.001	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	0.999	0.001
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
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rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	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
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	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
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
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	1.000	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	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
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	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

0.4694

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3643

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9845

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9840

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9703

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9597

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9567

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9446

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9374

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9368

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9329

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9187

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9171

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9120

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9076

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9008

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8936

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8935

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8890

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8812

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8802

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8780

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8767

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8729

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8726

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8717

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8716

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8618

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8565

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8544

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8538

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8417

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8416

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8414

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8369

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8347

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8319

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8306

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8244

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8194

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8086

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8063

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8062

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8062

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7934

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7884

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.7750

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7747

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7638

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7635

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7630

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7613

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7502

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7477

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7476

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7453

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7448

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7417

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7401

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7399

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7343

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7251

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7248

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7070

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7057

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6912

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6793

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6697

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6644

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6632

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6543

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6541

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6507

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6417

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6388

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6360

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6357

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6293

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6282

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5909

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5907

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5774

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5680

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5670

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5635

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5579

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5555

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5501

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5499

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5351

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5340

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5320

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5310

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5257

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5236

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5157

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5091

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4918

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4754

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4709

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4691

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4514

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4442

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4257

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4213

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4100

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4045

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4044

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3949

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3936

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3787

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3779

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3617

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3542

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3523

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3469

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3321

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3268

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3252

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3100

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3051

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3047

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3042

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3017

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3015

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2853

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2746

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2733

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2718

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2689

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2685

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2677

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2535

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2454

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2411

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2353

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2340

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2335

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2305

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2299

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2289

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2253

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2229

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2193

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2189

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2182

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2037

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1983

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1969

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1962

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1953

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1938

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1890

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1735

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1721

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1686

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1637

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1602

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1590

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1527

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1524

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1512

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1508

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1459

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1383

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1330

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1324

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1236

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1199

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1183

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1153

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1051

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0883

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0857

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0839

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0823

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0800

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0786

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0724

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.0704

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0618

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0616

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0545

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0536

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0504

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0503

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`)