Kenneth Ward1, VeeAnn Argyle, Mary Meade, Lesa Nelson. 1. Department of Obstetrics, Gynecology, Women's Health and the Pacific Research Center for Early Human Development, University of Hawai'i, John A. Burns School of Medicine, Honolulu, Hawai'i, USA.
Abstract
OBJECTIVE: To study the heritability of preterm delivery. METHODS: Women who delivered a singleton infant at less than 36 weeks of gestation were asked about their family history. Twenty-eight families were identified in which the proband had at least five first- or second-degree relatives with preterm delivery. An extensive genealogy database (GenDB) was constructed using more than 9,000 genealogy sources in the public domain (records before 1929). GenDB documents the relationships between more than 17.5 million ancestors and 3.5 million descendants of approximately 10,000 individuals who moved to Utah in the mid 1800s. This database was searched for the names, birth dates, and birthplaces of the four grandparents for each of the 28 probands. Pairwise coefficients of kinship were determined for the 93 preterm delivery grandparents identified, and for sets of 100 individuals born in the 1920s who were randomly selected from the population database. RESULTS: Probands had a mean of 3.3 grandparents included in this database. The average coefficient of kinship for controls was 1.5 x 10(6) (standard deviation = 0.6 x 10(6)). This measure agrees with previous calculations for the Utah population. The coefficient of kinship for familial preterm delivery grandparents was more than 50 standard deviations higher (3.4 x 10(5) [P < .001]). CONCLUSION: This study confirms the familial nature of preterm delivery. On average, gravidae randomly selected from our population are 23rd degree relatives, while these preterm delivery probands are eighth-degree relatives. A genome-wide scan using these affected families is underway.
OBJECTIVE: To study the heritability of preterm delivery. METHODS:Women who delivered a singleton infant at less than 36 weeks of gestation were asked about their family history. Twenty-eight families were identified in which the proband had at least five first- or second-degree relatives with preterm delivery. An extensive genealogy database (GenDB) was constructed using more than 9,000 genealogy sources in the public domain (records before 1929). GenDB documents the relationships between more than 17.5 million ancestors and 3.5 million descendants of approximately 10,000 individuals who moved to Utah in the mid 1800s. This database was searched for the names, birth dates, and birthplaces of the four grandparents for each of the 28 probands. Pairwise coefficients of kinship were determined for the 93 preterm delivery grandparents identified, and for sets of 100 individuals born in the 1920s who were randomly selected from the population database. RESULTS: Probands had a mean of 3.3 grandparents included in this database. The average coefficient of kinship for controls was 1.5 x 10(6) (standard deviation = 0.6 x 10(6)). This measure agrees with previous calculations for the Utah population. The coefficient of kinship for familial preterm delivery grandparents was more than 50 standard deviations higher (3.4 x 10(5) [P < .001]). CONCLUSION: This study confirms the familial nature of preterm delivery. On average, gravidae randomly selected from our population are 23rd degree relatives, while these preterm delivery probands are eighth-degree relatives. A genome-wide scan using these affected families is underway.
Authors: Roberto Romero; Digna R Velez Edwards; Juan Pedro Kusanovic; Sonia S Hassan; Shali Mazaki-Tovi; Edi Vaisbuch; Chong Jai Kim; Tinnakorn Chaiworapongsa; Brad D Pearce; Lara A Friel; Jacquelaine Bartlett; Madan Kumar Anant; Benjamin A Salisbury; Gerald F Vovis; Min Seob Lee; Ricardo Gomez; Ernesto Behnke; Enrique Oyarzun; Gerard Tromp; Scott M Williams; Ramkumar Menon Journal: Am J Obstet Gynecol Date: 2010-05 Impact factor: 8.661
Authors: R Romero; J Espinoza; F Gotsch; J P Kusanovic; L A Friel; O Erez; S Mazaki-Tovi; N G Than; S Hassan; G Tromp Journal: BJOG Date: 2006-12 Impact factor: 6.531
Authors: Roberto Romero; Lara A Friel; Digna R Velez Edwards; Juan Pedro Kusanovic; Sonia S Hassan; Shali Mazaki-Tovi; Edi Vaisbuch; Chong Jai Kim; Offer Erez; Tinnakorn Chaiworapongsa; Brad D Pearce; Jacquelaine Bartlett; Benjamin A Salisbury; Madan Kumar Anant; Gerald F Vovis; Min Seob Lee; Ricardo Gomez; Ernesto Behnke; Enrique Oyarzun; Gerard Tromp; Scott M Williams; Ramkumar Menon Journal: Am J Obstet Gynecol Date: 2010-07-31 Impact factor: 8.661
Authors: Margaret H Bublitz; Daniel Rodriguez; Asi Polly Gobin; Marissa Waldemore; Susanna Magee; Laura R Stroud Journal: Am J Obstet Gynecol Date: 2014-04-05 Impact factor: 8.661
Authors: G Chittoor; V S Farook; S Puppala; S P Fowler; J Schneider; T D Dyer; S A Cole; J L Lynch; J E Curran; L Almasy; J W Maccluer; A G Comuzzie; D E Hale; R S Ramamurthy; D J Dudley; E K Moses; R Arya; D M Lehman; C P Jenkinson; B S Bradshaw; R A Defronzo; J Blangero; R Duggirala Journal: Mol Hum Reprod Date: 2013-05-20 Impact factor: 4.025
Authors: Brian M D'Onofrio; Quetzal A Class; Martin E Rickert; Henrik Larsson; Niklas Långström; Paul Lichtenstein Journal: JAMA Psychiatry Date: 2013-11 Impact factor: 21.596