Large Scale Genome Sequencing and Integrative Analyses to Define Genomic Predictors of Recurrent Pregnancy Loss
Large Scale Genome Sequencing and Integrative Analyses to Define Genomic Predictors of Recurrent Pregnancy Loss
The overall goals of this proposal are to determine the genetic architecture of recurrent pregnancy loss (RPL) and to discover genomic predictors of RPL.
The following specific aims are proposed:
Aim 1: Collect clinically well-characterized samples from two distinct cohorts of participants with unexplained recurrent pregnancy loss (RPL).
Aim 2: Whole genome sequencing (WGS) will be performed at the Yale Center for Genome Analysis (YCGA), along with bioinformatic analyses to identify pathogenic variants in both cohorts. For Cohort A, analyses will focus on pathogenic variants identified in RPL trios, and for Cohort B, analyses will focus on variants associated with maternal effect genes in the mothers. Pathogenic variants will be comprehensively defined, and fully annotated variant maps will be generated for all included samples to provide the substrate for subsequent novel gene discovery and, ultimately, the development of clinical diagnostic tests.
Cohort A - Fetal Intolerome Cohort
Inclusion Criteria:
Exclusion Criteria:
Cohort B - Maternal Effect Gene Cohort
Inclusion Criteria:
- Women with a history of three or more pregnancy losses of unknown cause, with or without a liveborn child
Exclusion Criteria:
- Known etiology for pregnancy loss
yong-hui.jiang@yale.edu2037852429
heping.zhang@yale.edu12037855185
Aurora, Colorado 80045, United States
asma.giornazi@ucdenver.edu720-276-8941
yong-hui.jiang@yale.edu203-785-2429
mar.giner-calabuig@yale.edu203-737-2212
riley.bonaccorsi@nm.org312-694-6678
selsaye4@jh.edu443-473-2674
mbrossoi@med.wayne.edu313-577-8016
jlg2197@cumc.columbia.edu516-521-5604
at3452@cumc.columbia.edu917-838-2196
Rmoyer3@pennstatehealth.psu.ed717-531-6272
elizabethrose.davis@austin.utexas.edu512-495-2103
brooke.lasher@austin.utexas.edu404-441-3186
reyessr@uthscsa.edu210-450-5384