TreeWAS – [Z13.7] Special screening examination for congenital malformations, deformations and chromosomal abnormalities

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
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.715	0.285	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.712	0.288	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.693	0.307	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.667	0.333	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.623	0.377	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.622	0.378	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.509	0.491	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.498	0.502	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.490	0.510	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.479	0.521	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.466	0.534	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.465	0.535	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.460	0.540	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.456	0.543	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.446	0.554	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.445	0.555	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.412	0.587	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.405	0.595	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.393	0.607	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.383	0.617	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.375	0.625	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.363	0.637	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.360	0.640	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.355	0.645	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.352	0.648	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.344	0.656	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.342	0.658	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.340	0.660	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.328	0.672	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.315	0.685	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.287	0.713	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.280	0.720	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.279	0.721	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.278	0.721	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.257	0.742	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.217	0.783	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.204	0.796	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.202	0.798	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.199	0.800	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.196	0.803	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.195	0.805	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.187	0.813	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.186	0.814	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.185	0.815	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.178	0.821	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.176	0.824	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.174	0.826	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.170	0.829	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.166	0.834	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.162	0.838	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.159	0.840	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.155	0.845	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.154	0.846	0.001
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.143	0.857	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.135	0.865	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.131	0.869	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.126	0.874	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.117	0.882	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.117	0.883	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.110	0.889	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.105	0.895	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.099	0.901	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.088	0.912	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.917	0.082
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.082	0.918	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.081	0.919	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.074	0.926	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.073	0.927	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.068	0.929	0.003
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.069	0.931	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.065	0.934	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.054	0.946	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.053	0.947	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.051	0.949	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.050	0.950	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.048	0.952	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.042	0.958	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.038	0.962	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.038	0.962	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.035	0.965	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.034	0.966	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.033	0.966	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.031	0.969	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.029	0.970	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.027	0.972	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.027	0.973	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.027	0.973	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.024	0.976	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.022	0.978	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.022	0.978	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.022	0.978	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.021	0.979	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.020	0.979	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.020	0.980	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.018	0.981	0.001
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.018	0.982	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.018	0.982	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.017	0.982	0.000
rs129963 lBF = `-0.0869484` Chr`16` : `3,796,147`	0.017	0.983	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.016	0.984	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.015	0.984	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.015	0.985	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.015	0.985	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.015	0.985	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.015	0.985	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.014	0.985	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.014	0.986	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.013	0.987	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.013	0.987	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.008	0.987	0.004
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.012	0.988	0.001
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.011	0.988	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.011	0.988	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.011	0.989	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.010	0.990	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.009	0.990	0.000
rs2962462 lBF = `-0.0698373` Chr`16` : `62,798,852`	0.000	0.991	0.009
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.005	0.991	0.005
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.008	0.991	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.008	0.992	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.008	0.992	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.007	0.993	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	0.993	0.007
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.007	0.993	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.993	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.006	0.993	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.006	0.994	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.006	0.994	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.005	0.995	0.001
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.005	0.995	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.005	0.995	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.004	0.995	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.004	0.996	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.004	0.996	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.000	0.996	0.004
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.003	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.003	0.997	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.003	0.997	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.997	0.003
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.002	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.002	0.998	0.000
rs12917712 lBF = `-0.0484169` Chr`16` : `29,882,490`	0.000	0.998	0.002
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.002	0.998	0.000
rs4787483 lBF = `0.0630491` Chr`16` : `29,885,447`	0.000	0.998	0.002
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.002	0.998	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.002	0.998	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.001	0.998	0.001
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.998	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.998	0.001
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	0.999	0.001
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.001	0.999	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.001	0.999	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.001	0.999	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.001	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.001
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	0.999	0.001
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.001	0.999	0.000
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs114607539 lBF = `0` Chr`16` : `60,697,586`	0.001	0.999	0.001
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
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rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	1.000	0.000
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.000	1.000	0.000
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.000	1.000	0.000
rs12444268 lBF = `-0.0736532` Chr`16` : `20,342,572`	0.000	1.000	0.000
rs12444261 lBF = `-0.0772295` Chr`16` : `11,734,642`	0.000	1.000	0.000
rs4783244 lBF = `-0.0832544` Chr`16` : `82,662,268`	0.000	1.000	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	1.000	0.000
rs9933309 lBF = `25.7741` Chr`16` : `88,844,932`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	1.000	0.000
rs9931232 lBF = `13.6644` Chr`16` : `52,572,832`	0.000	1.000	0.000
rs35208507 lBF = `11.6407` Chr`16` : `20,388,929`	0.000	1.000	0.000
rs57374020 lBF = `10.9383` Chr`16` : `88,847,523`	0.000	1.000	0.000
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.000	1.000	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.000	1.000	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	1.000	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.000	1.000	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	1.000	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.000	1.000	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	1.000	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.000	1.000	0.000
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.000	1.000	0.000
rs3112612 lBF = `0.875649` Chr`16` : `52,635,164`	0.000	1.000	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	1.000	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.000	1.000	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	1.000	0.000
rs3104767 lBF = `0.667345` Chr`16` : `52,624,738`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs10514585 lBF = `0.162803` Chr`16` : `83,284,338`	0.000	1.000	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.000	1.000	0.000
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.000	1.000	0.000
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.000	1.000	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.000	1.000	0.000
rs1858800 lBF = `0.0593995` Chr`16` : `73,024,276`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs2326458 lBF = `0.0517866` Chr`16` : `84,987,679`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs7186128 lBF = `0.0257583` Chr`16` : `16,957,915`	0.000	1.000	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.000	1.000	0.000
rs11646411 lBF = `-0.00426655` Chr`16` : `82,746,937`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs2334880 lBF = `-0.0266701` Chr`16` : `71,653,637`	0.000	1.000	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	1.000	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	1.000	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	1.000	0.000
rs2041733 lBF = `-0.0453516` Chr`16` : `11,229,589`	0.000	1.000	0.000
rs7199343 lBF = `-0.0507337` Chr`16` : `73,009,024`	0.000	1.000	0.000
rs7188801 lBF = `-0.0564031` Chr`16` : `86,707,769`	0.000	1.000	0.000
rs8053728 lBF = `-0.0620872` Chr`16` : `82,485,251`	0.000	1.000	0.000
rs4784165 lBF = `-0.0671462` Chr`16` : `52,347,819`	0.000	1.000	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	1.000	0.000
rs6563943 lBF = `-0.0859058` Chr`16` : `83,639,335`	0.000	1.000	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.000	1.000	0.000
rs11859036 lBF = `-0.114229` Chr`16` : `80,305,551`	0.000	1.000	0.000
rs735951 lBF = `-0.136693` Chr`16` : `11,693,536`	0.000	1.000	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	1.000	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	1.000	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.000	1.000	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	1.000	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	1.000	0.000
rs17111 lBF = `9.12903` Chr`16` : `84,857,244`	0.000	1.000	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.000	1.000	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.000	1.000	0.000
rs1477196 lBF = `7.90626` Chr`16` : `53,808,258`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	0.000	1.000	0.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.000	1.000	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.000	1.000	0.000
rs11076780 lBF = `5.5846` Chr`16` : `89,397,954`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	1.000	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	1.000	0.000
rs10048146 lBF = `2.55428` Chr`16` : `86,710,660`	0.000	1.000	0.000
rs71390846 lBF = `2.1335` Chr`16` : `86,714,715`	0.000	1.000	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.000	1.000	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.000	1.000	0.000
rs2863979 lBF = `0.545064` Chr`16` : `68,331,890`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	1.000	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	1.000	0.000
rs40129 lBF = `0.230139` Chr`16` : `9,438,692`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	1.000	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.000	1.000	0.000
rs4349147 lBF = `0.0786613` Chr`16` : `3,124,920`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0825

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0642

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7167

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7166

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7156

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7154

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7151

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7144

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7106

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7067

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6986

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6967

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6904

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6861

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6830

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6821

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6776

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6749

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6710

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6687

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6680

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6663

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6639

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6601

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6583

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6576

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6522

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6293

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6289

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6282

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6281

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6237

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6215

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6069

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6043

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6027

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6004

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5847

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5821

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5778

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5770

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5734

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5635

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5625

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5622

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5461

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5457

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5435

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5430

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5410

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5363

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5355

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5211

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5174

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4875

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4742

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4540

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4362

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4093

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4051

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3822

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3767

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3462

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3275

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2991

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2776

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2733

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2662

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2526

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2519

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2491

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2357

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2340

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2273

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2273

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2234

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2182

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2181

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1909

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1875

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1826

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1619

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1418

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1383

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1329

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1320

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1241

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1138

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1124

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1103

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1052

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1033

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0958

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0956

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0917

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0858

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0845

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0843

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0815

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0755

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0717

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0664

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0620

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0614

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0580

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0573

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0559

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0527

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`)