Study
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
| Study ID | Alternative Stable ID | Type |
|---|---|---|
| EGAS00001001266 | Other |
Study Description
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)
Study Datasets 13 datasets.
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 ... (Show More)
|
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 ... (Show More)
|
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. ... (Show More)
|
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).
|
unknown | 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 |
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