TreeWAS – [Z97.5] Presence of (intra-uterine) contraceptive device

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
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.737	0.263	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.696	0.304	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.693	0.307	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.670	0.330	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.649	0.351	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.638	0.362	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.631	0.369	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.628	0.372	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.626	0.374	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.616	0.384	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.613	0.386	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.602	0.398	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.590	0.410	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.565	0.435	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.555	0.445	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.524	0.476	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.513	0.487	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.511	0.489	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.494	0.506	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.492	0.508	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.491	0.508	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.484	0.516	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.475	0.524	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.470	0.530	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.452	0.548	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.448	0.551	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.447	0.553	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.427	0.573	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.424	0.576	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.420	0.580	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.418	0.582	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.413	0.587	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.588	0.411
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.404	0.596	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.389	0.611	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.388	0.611	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.385	0.615	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.375	0.625	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.375	0.625	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.367	0.633	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.355	0.645	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.350	0.649	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.336	0.664	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.326	0.674	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.314	0.685	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.310	0.690	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.297	0.703	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.296	0.704	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.286	0.714	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.285	0.715	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.281	0.719	0.001
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.276	0.724	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.265	0.735	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.235	0.765	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.225	0.775	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.223	0.777	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.219	0.781	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.218	0.782	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.198	0.801	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.131	0.869	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.122	0.878	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.105	0.894	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.101	0.899	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.087	0.913	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.080	0.920	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.069	0.931	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.067	0.933	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.064	0.936	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.064	0.936	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.061	0.939	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.059	0.941	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.053	0.946	0.001
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.049	0.951	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.047	0.952	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.045	0.955	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.042	0.958	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.042	0.958	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.041	0.959	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.039	0.960	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.038	0.962	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.031	0.969	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.031	0.969	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.030	0.970	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.029	0.971	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.028	0.971	0.000
rs6499100 lBF = `0.154894` Chr`16` : `52,831,462`	0.028	0.972	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.025	0.975	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.021	0.978	0.001
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.022	0.978	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.021	0.979	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.021	0.979	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.019	0.981	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.017	0.982	0.000
rs4784256 lBF = `0.215364` Chr`16` : `52,814,559`	0.017	0.983	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.017	0.983	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.015	0.985	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	0.986	0.014
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	0.986	0.014
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	0.987	0.012
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.011	0.989	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.011	0.989	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.011	0.989	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.010	0.990	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.010	0.990	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.009	0.991	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.009	0.991	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.008	0.992	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.007	0.992	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.008	0.992	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.000	0.993	0.007
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
rs7194676 lBF = `-0.0614059` Chr`16` : `87,489,891`	0.000	0.995	0.005
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.005	0.995	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.004	0.995	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.000	0.995	0.004
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.004	0.996	0.000
rs2398144 lBF = `-0.104551` Chr`16` : `56,352,854`	0.004	0.996	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.003	0.997	0.000
rs12920890 lBF = `-0.0293134` Chr`16` : `71,787,588`	0.000	0.997	0.003
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.003	0.997	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.003	0.997	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.003	0.997	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	0.997	0.003
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.003	0.997	0.000
rs9923770 lBF = `-0.0160247` Chr`16` : `86,139,685`	0.003	0.997	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.003	0.997	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.003	0.997	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.002	0.997	0.000
rs2080501 lBF = `-0.113713` Chr`16` : `49,643,566`	0.000	0.997	0.003
rs4349147 lBF = `0.0786613` Chr`16` : `3,124,920`	0.002	0.998	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.002	0.998	0.000
rs8044853 lBF = `0.105468` Chr`16` : `81,457,659`	0.002	0.998	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	0.998	0.002
rs26528 lBF = `0.611624` Chr`16` : `28,517,709`	0.002	0.998	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.002	0.998	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.002	0.998	0.000
rs7204436 lBF = `-0.00524982` Chr`16` : `5,283,491`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs35538253 lBF = `-0.0210536` Chr`16` : `71,677,975`	0.000	0.998	0.002
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.002	0.998	0.000
rs12924650 lBF = `-0.027911` Chr`16` : `71,705,908`	0.000	0.998	0.002
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.001	0.998	0.000
rs377457 lBF = `-0.0788817` Chr`16` : `85,735,652`	0.002	0.998	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.002	0.998	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.002	0.998	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.001	0.998	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	0.998	0.002
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.001	0.999	0.001
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.001	0.999	0.001
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.001	0.999	0.000
rs2601828 lBF = `0.00343066` Chr`16` : `4,103,871`	0.000	0.999	0.001
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.001	0.999	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.001
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	0.999	0.001
rs17111 lBF = `9.12903` Chr`16` : `84,857,244`	0.000	0.999	0.001
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.001	0.999	0.000
rs9925432 lBF = `-0.0712221` Chr`16` : `2,917,327`	0.000	0.999	0.001
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.001	0.999	0.000
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.001	0.999	0.000
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.000	0.999	0.001
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
rs71386933 lBF = `-0.0153866` Chr`16` : `71,821,800`	0.000	0.999	0.001
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.999	0.000
rs12935422 lBF = `-0.00267497` Chr`16` : `71,664,225`	0.000	0.999	0.001
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.001	0.999	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.000	0.999	0.001
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	0.999	0.001
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.001	0.999	0.000
rs3743832 lBF = `0.00130723` Chr`16` : `9,213,880`	0.000	0.999	0.001
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	0.999	0.001
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	0.999	0.001
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	0.999	0.001
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	0.999	0.001
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.001	0.999	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
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rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs2288012 lBF = `-0.107255` Chr`16` : `58,327,646`	0.000	1.000	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.000	1.000	0.000
rs2733954 lBF = `-0.0724173` Chr`16` : `85,836,256`	0.000	1.000	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.000	1.000	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.000	1.000	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs2270368 lBF = `0.0178197` Chr`16` : `50,714,335`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs4985155 lBF = `0.00464272` Chr`16` : `15,129,459`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs9924758 lBF = `-0.072789` Chr`16` : `13,616,484`	0.000	1.000	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	1.000	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs2086824 lBF = `0.0494884` Chr`16` : `89,471,246`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs7192086 lBF = `0.0104938` Chr`16` : `13,061,611`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs2334880 lBF = `-0.0266701` Chr`16` : `71,653,637`	0.000	1.000	0.000
rs71391092 lBF = `-0.045922` Chr`16` : `74,567,075`	0.000	1.000	0.000
rs17214007 lBF = `-0.0640851` Chr`16` : `15,883,490`	0.000	1.000	0.000
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.000	1.000	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.000	1.000	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs7184597 lBF = `0.0323666` Chr`16` : `28,921,809`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	1.000	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	1.000	0.000
rs2001970 lBF = `-0.0944758` Chr`16` : `55,255,191`	0.000	1.000	0.000
rs9940464 lBF = `-0.123422` Chr`16` : `83,360,775`	0.000	1.000	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	1.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.000	1.000	0.000
rs1728785 lBF = `0.341439` Chr`16` : `68,591,230`	0.000	1.000	0.000
rs4780805 lBF = `0.251748` Chr`16` : `19,404,645`	0.000	1.000	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.000	1.000	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.000	1.000	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	1.000	0.000
rs1429264 lBF = `-0.101101` Chr`16` : `84,623,484`	0.000	1.000	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.000	1.000	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.000	1.000	0.000
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs1035560 lBF = `0.00137358` Chr`16` : `72,032,730`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.000	1.000	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.000	1.000	0.000
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.4865

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4114

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0885

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9896

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9825

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9736

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9714

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9644

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9541

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9496

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9449

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9423

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9318

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9261

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9134

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8964

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8929

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8845

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8821

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8736

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8686

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8672

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8600

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8258

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8181

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8111

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8088

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8046

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7947

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7946

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7787

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7576

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7338

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7230

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7204

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6906

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6820

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6409

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6276

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6255

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6186

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6110

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5957

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5944

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5885

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5719

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5599

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5333

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5264

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5148

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4849

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4623

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4593

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4565

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4511

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4433

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4366

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4350

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4232

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4023

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3995

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3755

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3621

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3558

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3501

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3404

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3285

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3238

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3168

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3119

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3080

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3080

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2942

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2912

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2823

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2782

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2781

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2781

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2680

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2598

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2498

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2414

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2325

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2257

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2141

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2023

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1903

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1850

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1778

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1732

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1641

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1586

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1509

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1401

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1213

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1135

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0975

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0898

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0867

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0818

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0726

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0687

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0638

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0625

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0578

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0560

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0511

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`)