Preeclampsia InterPregGen Consortium: Large-scale GWAS meta-analysis of maternal preclampsia cases and controls from Europe and Central Asia. Plus extension of earlier European fetal preeclampsia GWAS meta-analysis (see EGAS00001001048) by adding Central Asian fetal preeclampsia cases and controls. Datasets provided under this study are GWAS meta-analysis summary statistics and individual level GWAS genotype data. Related InterPregGen Consortium data are also provided under studies EGAS00001000416 and EGAS00001000417 (whole genome sequence data for 100 unrelated Uzbeks and 100 unrelated Kazakhs) and EGAS00001001048 (European fetal preeclampsia GWAS summary statistics and genotype data

Preeclampsia (PE) is a syndrome affecting pregnant mothers and fetus/babies characterised by hypertension and proteinuria, and is a leading cause of maternal and fetal death and of premature births worldwide. The InterPregGen Consortium was funded by a European Framework 7 (FP7) grant and grew out of the WTCCC3 GWAS comparing ~2000 UK PE mothers with ~6000 common UK controls. The EGAS00001001266 study includes two components the FP7 InterPregGen project: (a) GWAS case-control meta-analysis of maternal PE cases from Europe (UK, Iceland, Norway, Denmark, Finland) and Central Asia (Kazakhstan, Uzbekistan); (b) GWAS case-control meta-analysis of PE fetal (baby) cases from Europe (UK, Iceland, Norway, Denmark) and Central Asia (Kazakhstan, Uzbekistan)

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

13 Datasets 4 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00010000854	WTCCC3 UK maternal cases of pre-eclampsia	Illumina Human670-QuadCustom_v1	3980
EGAD00010001917	GWAS genotype data for maternal and fetal (baby) cases of preeclampsia and controls from Uzbekistan. This dataset is a component of the InterPregGen FP7 project. DNA samples for this component were collected by InterPregGen Consortium members in Tashkent, Uzbekistan at the Institute of Immunology, Uzbek Academy of Sciences and at the Republic Specialized Scientific Practical Medical Centre of Obstetrics and Gynecology	Unknown HumanOmni25M-8v1-1	180
EGAD00010001918	GWAS genotype data for maternal and fetal (baby) cases of preeclampsia and controls from Uzbekistan. This dataset is a component of the InterPregGen FP7 project. DNA samples for this component were collected by InterPregGen Consortium members in Tashkent, Uzbekistan at the Institute of Immunology, Uzbek Academy of Sciences and at the Republic Specialized Scientific Practical Medical Centre of Obstetrics and Gynecology	Unknown HumanOmni2-5-8-v1-1-C	2658
EGAD00010001919	GWAS genotype data for maternal and fetal (baby) cases of preeclampsia and controls from Uzbekistan. This dataset is a component of the InterPregGen FP7 project. DNA samples for this component were collected by InterPregGen Consortium members in Tashkent, Uzbekistan at the Institute of Immunology, Uzbek Academy of Sciences and at the Republic Specialized Scientific Practical Medical Centre of Obstetrics and Gynecology	Unknown HumanOmni25-8v1-1	58
EGAD00010001945	Preeclampsia (PE) is a syndrome affecting pregnant mothers and fetus/babies characterised by hypertension and proteinuria, and is a leading cause of maternal and fetal death and of premature births worldwide. The InterPregGen Consortium was funded by a European Framework 7 (FP7) grant and grew out of the WTCCC3 GWAS comparing ~2000 UK PE mothers with ~6000 common UK controls. This dataset includes lllumina 2.5-8 genotyping of maternal and fetal PE cases and controls from Kazakhstan. This study is one component of the InterPregGen FP7 project. DNA samples for this component were collected by InterPregGen Consortium collaborators at the Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan (Gulnara Svyatova, Principal Investigator).	llumina 2.5-8	3004
EGAD00010001947	Preeclampsia (PE) is a syndrome affecting pregnant mothers and fetus/babies characterised by hypertension and proteinuria, and is a leading cause of maternal and fetal death and of premature births worldwide. The InterPregGen Consortium was funded by a European Framework 7 (FP7) grant and grew out of the WTCCC3 GWAS comparing ~2000 UK PE mothers with ~6000 common UK controls. This dataset includes OmniExpress genotyping of maternal and fetal PE cases and controls from Kazakhstan. This study is one component of the InterPregGen FP7 project. DNA samples for this component were collected by InterPregGen Consortium collaborators at the Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan (Gulnara Svyatova, Principal Investigator).	OmniExpress	2305
EGAD00010001949	Preeclampsia (PE) is a syndrome affecting pregnant mothers and fetus/babies characterised by hypertension and proteinuria, and is a leading cause of maternal and fetal death and of premature births worldwide. The InterPregGen Consortium was funded by a European Framework 7 (FP7) grant and grew out of the WTCCC3 GWAS comparing ~2000 UK PE mothers with ~6000 common UK controls. This dataset includes Infinium GSA genotyping of maternal, paternal and fetal PE cases and controls from Kazakhstan. This study is one component of the InterPregGen FP7 project. DNA samples for this component were collected by InterPregGen Consortium collaborators at the Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan (Gulnara Svyatova, Principal Investigator).	Infinium GSA	2321
EGAD00010001983	Fixed effect meta-analysis summary statistics combining GWAS of fetal (baby) preeclampsia cases and controls from Europe (UK, Iceland, Norway, and Denmark) and Central Asia (Kazakhstan and Uzbekistan).		4
EGAD00010001984	Fixed effect meta-analysis summary statistics combining GWAS of maternal preeclampsia cases and controls from Europe (UK, Iceland, Norway, Denmark and Finland).		12
EGAD00010001985	Fixed effect meta-analysis summary statistics combining GWAS of maternal preeclampsia cases and controls from Central Asia (Kazakhstan and Uzbekistan).		4
EGAD00010001986	Fixed effect meta-analysis summary statistics combining GWAS of fetal (baby) preeclampsia cases and controls from Europe (UK, Iceland, Norway, and Denmark).		10
EGAD00010001987	Fixed effect meta-analysis summary statistics combining GWAS of fetal (baby) preeclampsia cases and controls from Central Asia (Kazakhstan and Uzbekistan).		4
EGAD00010001988	Fixed effect meta-analysis summary statistics combining GWAS of maternal preeclampsia cases and controls from Europe (UK, Iceland, Norway, Denmark and Finland) and Central Asia (Kazakhstan and Uzbekistan).		4

Publications	Citations
Genetic predisposition to hypertension is associated with preeclampsia in European and Central Asian women. Steinthorsdottir V, McGinnis R, Williams NO, Stefansdottir L, Thorleifsson G, Shooter S, Fadista J, Sigurdsson JK, Auro KM, Berezina G, Borges MC, Bumpstead S, Bybjerg-Grauholm J, Colgiu I, Dolby VA, Dudbridge F, Engel SM, Franklin CS, Frigge ML, Frisbaek Y, Geirsson RT, Geller F, Gretarsdottir S, Gudbjartsson DF, Harmon Q, Hougaard DM, Hegay T, Helgadottir A, Hjartardottir S, Jääskeläinen T, Johannsdottir H, Jonsdottir I, Juliusdottir T, Kalsheker N, Kasimov A, Kemp JP, Kivinen K, Klungsøyr K, Lee WK, Melbye M, Miedzybrodska Z, Moffett A, Najmutdinova D, Nishanova F, Olafsdottir T, Perola M, Pipkin FB, Poston L, Prescott G, Saevarsdottir S, Salimbayeva D, Scaife PJ, Skotte L, Staines-Urias E, Stefansson OA, Sørensen KM, Thomsen LCV, Tragante V, Trogstad L, Simpson NAB, FINNPEC Consortium, GOPEC Consortium, Aripova T, Casas JP, Dominiczak AF, Walker JJ, Thorsteinsdottir U, Iversen AC, Feenstra B, Lawlor DA, Boyd HA, Magnus P, Laivuori H, Zakhidova N, Svyatova G, Stefansson K, Morgan L. Nat Commun 11: 2020 5976	73
The CD94/NKG2A inhibitory receptor educates uterine NK cells to optimize pregnancy outcomes in humans and mice. Shreeve N, Depierreux D, Hawkes D, Traherne JA, Sovio U, Huhn O, Jayaraman J, Horowitz A, Ghadially H, Perry JRB, Moffett A, Sled JG, Sharkey AM, Colucci F. Immunity 54: 2021 1231-1244.e4	34
Genetic effects on the timing of parturition and links to fetal birth weight. Solé-Navais P, Flatley C, Steinthorsdottir V, Vaudel M, Juodakis J, Chen J, Laisk T, LaBella AL, Westergaard D, Bacelis J, Brumpton B, Skotte L, Borges MC, Helgeland Ø, Mahajan A, Wielscher M, Lin F, Briggs C, Wang CA, Moen GH, Beaumont RN, Bradfield JP, Abraham A, Thorleifsson G, Gabrielsen ME, Ostrowski SR, Modzelewska D, Nohr EA, Hypponen E, Srivastava A, Talbot O, Allard C, Williams SM, Menon R, Shields BM, Sveinbjornsson G, Xu H, Melbye M, Lowe W, Bouchard L, Oken E, Pedersen OB, Gudbjartsson DF, Erikstrup C, Sørensen E, Early Growth Genetics Consortium, Estonian Biobank Research Team, Danish Blood Donor Study Genomic Consortium, Lie RT, Teramo K, Hallman M, Juliusdottir T, Hakonarson H, Ullum H, Hattersley AT, Sletner L, Merialdi M, Rifas-Shiman SL, Steingrimsdottir T, Scholtens D, Power C, West J, Nyegaard M, Capra JA, Skogholt AH, Magnus P, Andreassen OA, Thorsteinsdottir U, Grant SFA, Qvigstad E, Pennell CE, Hivert MF, Hayes GM, Jarvelin MR, McCarthy MI, Lawlor DA, Nielsen HS, Mägi R, Rokas A, Hveem K, Stefansson K, Feenstra B, Njolstad P, Muglia LJ, Freathy RM, Johansson S, Zhang G, Jacobsson B. Nat Genet 55: 2023 559-567	26
Polygenic prediction of preeclampsia and gestational hypertension. Honigberg MC, Truong B, Khan RR, Xiao B, Bhatta L, Vy HMT, Guerrero RF, Schuermans A, Selvaraj MS, Patel AP, Koyama S, Cho SMJ, Vellarikkal SK, Trinder M, Urbut SM, Gray KJ, Brumpton BM, Patil S, Zöllner S, Antopia MC, Saxena R, Nadkarni GN, Do R, Yan Q, Pe'er I, Verma SS, Gupta RM, Haas DM, Martin HC, van Heel DA, Laisk T, Natarajan P. Nat Med 29: 2023 1540-1549	21