Literature DB >> 31608846

Avera Twin Register Growing Through Online Consenting and Survey Collection.

Julie M Kittelsrud1, Erik A Ehli1, Vikki Petersen1, Tammy Jung1, Jeffrey J Beck1, Noah Kallsen1, Patricia Huizenga1, Brittany Holm1, Gareth E Davies1,2.   

Abstract

The aim of the Avera Twin Register (ATR) is to establish a prospective longitudinal repository of twins, multiples, siblings and family members' biological samples to study environmental and genetic influences on health and disease. Also, it is our intention to contribute to international genome-wide association study (GWAS) twin consortia when appropriate sample size is achieved within the ATR. The ATR is young compared with existing registers and continues to collect a longitudinal repository of biological specimens, survey data and health information. Data and biological specimens were originally collected via face-to-face appointments or the postal department and consisted of paper-informed consents and questionnaires. Enrollment of the ATR began on May 18, 2016 and is located in Sioux Falls, South Dakota, a rural and frontier area in the Central United States with a regional population of approximately 880,000. The original target area for the ATR was South Dakota and the four surrounding states: Minnesota, Iowa, North Dakota and Nebraska. The ATR has found a need to expand that area based on twin and multiple siblings who live in various areas surrounding these states. A description of the state of the ATR today and its transition to online data collection and informed consent will be presented. The ATR collects longitudinal data on lifestyle, including diet and activity levels, aging, plus complex traits and diseases. All twins and multiples participating in the ATR are genotyped on the Illumina Global Screening Array and receive zygosity results.

Keywords:  Global Screening Array; Twins; genotyping; lifestyle; multiples; twin register

Year:  2019        PMID: 31608846     DOI: 10.1017/thg.2019.73

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  1 in total

1.  Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight.

Authors:  Jeffrey J Beck; René Pool; Margot van de Weijer; Xu Chen; Eva Krapohl; Scott D Gordon; Marianne Nygaard; Birgit Debrabant; Teemu Palviainen; Matthijs D van der Zee; Bart Baselmans; Casey T Finnicum; Lu Yi; Sebastian Lundström; Toos van Beijsterveldt; Lene Christiansen; Kauko Heikkilä; Julie Kittelsrud; Anu Loukola; Miina Ollikainen; Kaare Christensen; Nicholas G Martin; Robert Plomin; Michel Nivard; Meike Bartels; Conor Dolan; Gonneke Willemsen; Eco de Geus; Catarina Almqvist; Patrik K E Magnusson; Hamdi Mbarek; Erik A Ehli; Dorret I Boomsma; Jouke-Jan Hottenga
Journal:  Hum Mol Genet       Date:  2021-09-15       Impact factor: 6.150

  1 in total

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