Infertility is a major public health problem that affects 10-15% of couples (2.5 million) in the US. The goal of this program is to locate genes that make substantial contributions to variation in natural dizygotic (DZ) twinning to understand critical pathways controlling female fertility. This will have practical application in treatment of infertility and may provide new approaches to contraception. The proposed study extends our previous studies of the endocrinology, epidemiology, and molecular genetics of twinning in humans and in large animal models. We have ascertained 342 families with sister pairs who have both given birth to spontaneous DZ twins and a further 386 families with case-two parent triads and have collected DNA samples from the sisters' parents and other siblings. We shall use information from our twin studies and the Australian and Netherlands Twin Registries to collect an additional 240 affected sister pair families from Australia and New Zealand and 418 families from the Netherlands. DNA samples from these families will be used to complete a 10cM genome scan in 1000 families. We will use sib pair linkage analysis to locate QTLs for twinning. Our candidate positional cloning in animal models recently identified mutations in two genes (BMP15 and BMPRIB) from intra-ovarian signaling pathways that increase twinning frequency, and cause infertility in homozygous carriers of the BMP15 mutations. One important question is whether natural variation in human twinning is controlled by these emerging mechanisms or through other pathways. We will use available samples to immediately begin candidate gene studies by mutational screening and typing SNP markers in genes from this pathway (BMP15, GDF9, BMPR1B) using a matched case-control design with cases from our existing families and matched control samples. Significant associations will be tested in additional cases and their parents using the transmission disequilibrium test.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Research Project (R01)
Project #
1R01HD042157-01A1
Application #
6574714
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Program Officer
Taymans, Susan
Project Start
2002-09-27
Project End
2007-08-31
Budget Start
2002-09-27
Budget End
2003-08-31
Support Year
1
Fiscal Year
2002
Total Cost
$398,597
Indirect Cost
Name
Queensland Institute of Medical Research
Department
Type
DUNS #
758815328
City
Herston
State
Country
Australia
Zip Code
4006
Culverhouse, R C; Saccone, N L; Horton, A C et al. (2018) Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression. Mol Psychiatry 23:133-142
Smit, Dirk J A; Wright, Margaret J; Meyers, Jacquelyn L et al. (2018) Genome-wide association analysis links multiple psychiatric liability genes to oscillatory brain activity. Hum Brain Mapp 39:4183-4195
Hysi, Pirro G; Valdes, Ana M; Liu, Fan et al. (2018) Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability. Nat Genet 50:652-656
Van der Auwera, Sandra; Peyrot, Wouter J; Milaneschi, Yuri et al. (2018) Genome-wide gene-environment interaction in depression: A systematic evaluation of candidate genes: The childhood trauma working-group of PGC-MDD. Am J Med Genet B Neuropsychiatr Genet 177:40-49
Rivera, Margarita; Locke, Adam E; Corre, Tanguy et al. (2017) Interaction between the FTO gene, body mass index and depression: meta-analysis of 13701 individuals. Br J Psychiatry 211:70-76
Mbarek, Hamdi; Milaneschi, Yuri; Hottenga, Jouke-Jan et al. (2017) Genome-Wide Significance for PCLO as a Gene for Major Depressive Disorder. Twin Res Hum Genet 20:267-270
Nivard, Michel G; Gage, Suzanne H; Hottenga, Jouke J et al. (2017) Genetic Overlap Between Schizophrenia and Developmental Psychopathology: Longitudinal and Multivariate Polygenic Risk Prediction of Common Psychiatric Traits During Development. Schizophr Bull 43:1197-1207
Treur, Jorien L; Taylor, Amy E; Ware, Jennifer J et al. (2017) Smoking and caffeine consumption: a genetic analysis of their association. Addict Biol 22:1090-1102
Lin, Bochao D; Willemsen, Gonneke; Fedko, Iryna O et al. (2017) Heritability and GWAS Studies for Monocyte-Lymphocyte Ratio. Twin Res Hum Genet 20:97-107
Verduijn, Judith; Milaneschi, Yuri; Peyrot, Wouter J et al. (2017) Using Clinical Characteristics to Identify Which Patients With Major Depressive Disorder Have a Higher Genetic Load for Three Psychiatric Disorders. Biol Psychiatry 81:316-324

Showing the most recent 10 out of 42 publications