TreeWAS – [Z37.7] Other multiple births, all stillborn

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
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.670	0.329	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.646	0.354	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.619	0.380	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.599	0.401	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.586	0.414	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.580	0.419	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.561	0.439	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.477	0.523	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.459	0.541	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.455	0.545	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.453	0.547	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.430	0.570	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.420	0.580	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.420	0.580	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.395	0.605	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.394	0.606	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.389	0.611	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.347	0.653	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.342	0.658	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.335	0.665	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.334	0.666	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.318	0.682	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.308	0.692	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.300	0.700	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.300	0.700	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.287	0.713	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.284	0.715	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.284	0.716	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.274	0.725	0.001
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.270	0.730	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.268	0.732	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.262	0.738	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.260	0.740	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.254	0.746	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.251	0.749	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.246	0.754	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.245	0.755	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.243	0.757	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.243	0.757	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.243	0.757	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.242	0.758	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.237	0.763	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.235	0.765	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.235	0.765	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.230	0.769	0.001
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.213	0.786	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.213	0.787	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.213	0.787	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.210	0.789	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.202	0.797	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.201	0.798	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.197	0.803	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.195	0.805	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.191	0.809	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.184	0.815	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.182	0.818	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.818	0.182
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.176	0.823	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.165	0.835	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.160	0.839	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.158	0.841	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.153	0.847	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.148	0.852	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.147	0.853	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.145	0.854	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.144	0.855	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.140	0.860	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.138	0.861	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.138	0.862	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.137	0.862	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.132	0.868	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.125	0.875	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.123	0.877	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.116	0.884	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.109	0.890	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.103	0.897	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.101	0.899	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.100	0.900	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.091	0.909	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.090	0.909	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.087	0.912	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.085	0.915	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.082	0.918	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.082	0.918	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.081	0.919	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.924	0.076
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	0.924	0.075
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.074	0.926	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.071	0.928	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.039	0.931	0.030
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.066	0.934	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.061	0.939	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.060	0.940	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.060	0.940	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.058	0.942	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.057	0.942	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.053	0.947	0.001
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.053	0.947	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.050	0.950	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.050	0.950	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.047	0.953	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.044	0.956	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.044	0.956	0.000
rs12051443 lBF = `0.284452` Chr`16` : `71,691,329`	0.043	0.957	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.042	0.958	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.040	0.959	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.965	0.035
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.033	0.967	0.001
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.033	0.967	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.028	0.971	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.027	0.972	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.025	0.975	0.001
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.025	0.975	0.001
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.023	0.976	0.001
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.023	0.977	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.022	0.978	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.021	0.978	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.021	0.978	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.021	0.979	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.021	0.979	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.019	0.980	0.001
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.019	0.981	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.019	0.981	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.018	0.981	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.018	0.981	0.001
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.018	0.982	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.016	0.984	0.001
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.016	0.984	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.015	0.985	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.013	0.986	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.012	0.988	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.012	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
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.010	0.990	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.009	0.991	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.009	0.991	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.007	0.992	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.007	0.993	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.007	0.993	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.006	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.005	0.995	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	0.995	0.005
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.005	0.995	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.005	0.995	0.000
rs2444217 lBF = `-0.0820759` Chr`16` : `4,038,387`	0.000	0.995	0.004
rs8057031 lBF = `16.8889` Chr`16` : `88,783,449`	0.004	0.996	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.004	0.996	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.004	0.996	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.004	0.996	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.004	0.996	0.000
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.004	0.996	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.004	0.996	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.004	0.996	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.004	0.996	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.003	0.996	0.001
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.003	0.996	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.003	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.002	0.997	0.001
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.003	0.997	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.003	0.997	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.001	0.997	0.001
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.002	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.001	0.998	0.002
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.002	0.998	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.002	0.998	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.002	0.998	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.002	0.998	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.998	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	0.998	0.001
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	0.998	0.001
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.001	0.998	0.000
rs1532624 lBF = `0.283711` Chr`16` : `57,005,479`	0.001	0.999	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs12927162 lBF = `-0.046225` Chr`16` : `52,684,916`	0.000	0.999	0.001
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.001	0.999	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	0.999	0.001
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.999	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	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
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
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
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rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.000	1.000	0.000
rs416603 lBF = `0.0624644` Chr`16` : `11,364,079`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	1.000	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.000	1.000	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	1.000	0.000
rs2903308 lBF = `-0.101953` Chr`16` : `13,656,885`	0.000	1.000	0.000
rs6564851 lBF = `-0.122217` Chr`16` : `81,264,597`	0.000	1.000	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.000	1.000	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.000	1.000	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.000	1.000	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	1.000	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	1.000	0.000
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.000	1.000	0.000
rs2326458 lBF = `0.0517866` Chr`16` : `84,987,679`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs344364 lBF = `0.00835018` Chr`16` : `1,973,516`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs12446956 lBF = `-0.0439052` Chr`16` : `73,501,536`	0.000	1.000	0.000
rs12917712 lBF = `-0.0484169` Chr`16` : `29,882,490`	0.000	1.000	0.000
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.000	1.000	0.000
rs4074373 lBF = `-0.0513813` Chr`16` : `83,555,525`	0.000	1.000	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	1.000	0.000
rs1065656 lBF = `-0.0578323` Chr`16` : `1,838,836`	0.000	1.000	0.000
rs13336428 lBF = `-0.0798475` Chr`16` : `1,532,463`	0.000	1.000	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	1.000	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	1.000	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs1967309 lBF = `0.483005` Chr`16` : `4,065,583`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	1.000	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	1.000	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	1.000	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	1.000	0.000
rs929843 lBF = `0.0505906` Chr`16` : `70,045,748`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs12691307 lBF = `0.0239576` Chr`16` : `29,939,877`	0.000	1.000	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	1.000	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.000	1.000	0.000
rs4561483 lBF = `0.00633995` Chr`16` : `11,920,037`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs821470 lBF = `-0.01652` Chr`16` : `57,058,582`	0.000	1.000	0.000
rs4781011 lBF = `-0.0201332` Chr`16` : `10,975,311`	0.000	1.000	0.000
rs2288059 lBF = `-0.0247894` Chr`16` : `76,170,096`	0.000	1.000	0.000
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.000	1.000	0.000
rs2735413 lBF = `-0.0378154` Chr`16` : `78,053,643`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	1.000	0.000
rs12444268 lBF = `-0.0736532` Chr`16` : `20,342,572`	0.000	1.000	0.000
rs3925075 lBF = `-0.0836353` Chr`16` : `31,347,748`	0.000	1.000	0.000
rs9937837 lBF = `-0.103372` Chr`16` : `31,298,939`	0.000	1.000	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	1.000	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	1.000	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.000	1.000	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	1.000	0.000
rs62070320 lBF = `15.294` Chr`16` : `89,573,689`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	1.000	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.000	1.000	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs9922678 lBF = `0.176249` Chr`16` : `9,946,319`	0.000	1.000	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.000	1.000	0.000
rs7200786 lBF = `0.171329` Chr`16` : `11,177,801`	0.000	1.000	0.000
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs12927205 lBF = `0.0509957` Chr`16` : `72,025,077`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.000	1.000	0.000
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	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 X0012

log Bayes Factor = 112.432

contains 5 variants

0.2196

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1819

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.1529

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0796

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0509

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0504

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7169

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7169

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7169

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7169

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7169

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7169

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7165

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7135

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7106

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7038

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6980

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6952

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6764

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6503

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6476

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6283

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6266

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6055

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5964

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5962

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5880

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5863

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5863

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5695

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5580

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5517

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5318

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5292

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5128

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5052

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5032

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4993

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4979

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4852

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4852

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4827

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4796

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4522

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4514

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4482

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4481

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4454

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4452

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4414

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4340

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4319

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4253

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4250

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4199

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4166

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4113

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3900

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3835

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3799

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3742

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3674

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3607

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3544

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3465

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3415

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3389

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3351

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3342

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3325

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3306

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3290

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3185

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3168

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3123

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3082

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3061

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2982

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2961

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2948

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2929

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2889

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2835

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2704

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2681

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2621

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2618

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2509

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2499

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2466

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2433

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2283

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2256

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2252

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2233

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2212

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2192

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2179

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2147

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2113

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2082

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2065

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2057

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1933

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1800

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1731

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1712

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1698

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1668

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1667

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1660

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1649

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1628

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1581

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1573

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1568

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1563

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1527

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1526

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1525

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1523

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1515

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1472

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1450

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1439

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1399

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1398

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1337

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1328

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1279

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1248

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1236

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1148

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1126

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1056

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1055

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1043

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1035

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1022

Cluster X0202

log Bayes Factor = 106.378

contains 5 variants

0.1001

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0987

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0977

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0968

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0879

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0855

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0846

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0803

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0783

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0734

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0720

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0706

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0611

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0590

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0545

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`)