Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics. (3rd January 2018)
- Record Type:
- Journal Article
- Title:
- Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics. (3rd January 2018)
- Main Title:
- Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics
- Authors:
- Beaumont, Robin N
Warrington, Nicole M
Cavadino, Alana
Tyrrell, Jessica
Nodzenski, Michael
Horikoshi, Momoko
Geller, Frank
Myhre, Ronny
Richmond, Rebecca C
Paternoster, Lavinia
Bradfield, Jonathan P
Kreiner-Møller, Eskil
Huikari, Ville
Metrustry, Sarah
Lunetta, Kathryn L
Painter, Jodie N
Hottenga, Jouke-Jan
Allard, Catherine
Barton, Sheila J
Espinosa, Ana
Marsh, Julie A
Potter, Catherine
Zhang, Ge
Ang, Wei
Berry, Diane J
Bouchard, Luigi
Das, Shikta
Hakonarson, Hakon
Heikkinen, Jani
Helgeland, Øyvind
Hocher, Berthold
Hofman, Albert
Inskip, Hazel M
Jones, Samuel E
Kogevinas, Manolis
Lind, Penelope A
Marullo, Letizia
Medland, Sarah E
Murray, Anna
Murray, Jeffrey C
Njølstad, Pål R
Nohr, Ellen A
Reichetzeder, Christoph
Ring, Susan M
Ruth, Katherine S
Santa-Marina, Loreto
Scholtens, Denise M
Sebert, Sylvain
Sengpiel, Verena
Tuke, Marcus A
Vaudel, Marc
Weedon, Michael N
Willemsen, Gonneke
Wood, Andrew R
Yaghootkar, Hanieh
Muglia, Louis J
Bartels, Meike
Relton, Caroline L
Pennell, Craig E
Chatzi, Leda
Estivill, Xavier
Holloway, John W
Boomsma, Dorret I
Montgomery, Grant W
Murabito, Joanne M
Spector, Tim D
Power, Christine
Järvelin, Marjo-Ritta
Bisgaard, Hans
Grant, Struan F A
Sørensen, Thorkild I A
Jaddoe, Vincent W
Jacobsson, Bo
Melbye, Mads
McCarthy, Mark I
Hattersley, Andrew T
Hayes, M Geoffrey
Frayling, Timothy M
Hivert, Marie-France
Felix, Janine F
Hyppönen, Elina
Lowe, William L
Evans, David M
Lawlor, Debbie A
Feenstra, Bjarke
Freathy, Rachel M
… (more) - Abstract:
- Abstract: Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother–child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci ( MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7 ) were associated with offspring birth weight at P < 5 × 10 −8 . In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose ( MTNR1B, GCK and TCF7L2 ) and sex hormone levels ( CYP3A7 ), and one ( EBF1 ) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of theseAbstract: Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother–child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci ( MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7 ) were associated with offspring birth weight at P < 5 × 10 −8 . In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose ( MTNR1B, GCK and TCF7L2 ) and sex hormone levels ( CYP3A7 ), and one ( EBF1 ) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of these associations in mechanistic and causal analyses will enhance understanding of the potentially modifiable maternal determinants of fetal growth, with the goal of reducing the morbidity and mortality associated with low and high birth weights. … (more)
- Is Part Of:
- Human molecular genetics. Volume 27:Number 4(2018:Feb. 15)
- Journal:
- Human molecular genetics
- Issue:
- Volume 27:Number 4(2018:Feb. 15)
- Issue Display:
- Volume 27, Issue 4 (2018)
- Year:
- 2018
- Volume:
- 27
- Issue:
- 4
- Issue Sort Value:
- 2018-0027-0004-0000
- Page Start:
- 742
- Page End:
- 756
- Publication Date:
- 2018-01-03
- Subjects:
- Human molecular genetics -- Periodicals
Human chromosome abnormalities -- Periodicals
572.8 - Journal URLs:
- http://hmg.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/hmg/ddx429 ↗
- Languages:
- English
- ISSNs:
- 0964-6906
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4336.198000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14232.xml