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Title:

GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

Document type:
Article
Author(s):
Alves, Alexessander Couto; De Silva, N. Maneka G.; Karhunen, Ville; Sovio, Ulla; Das, Shikta; Taal, H. Rob; Warrington, Nicole M.; Lewin, Alexandra M.; Kaakinen, Marika; Cousminer, Diana L.; Thiering, Elisabeth; Timpson, Nicholas J.; Bond, Tom A.; Lowry, Estelle; Brown, Christopher D.; Estivill, Xavier; Lindi, Virpi; Bradfield, Jonathan P.; Geller, Frank; Speed, Doug; Coin, Lachlan J. M.; Loh, Marie; Barton, Sheila J.; Beilin, Lawrence J.; Bisgaard, Hans; Bonnelykke, Klaus; Alili, Rohia; Hatoum,...     »
Abstract:
Early childhood growth patterns are associated with adult health, yet the genetic factors and the developmental stages involved are not fully understood. Here, we combine genome-wide association studies with modeling of longitudinal growth traits to study the genetics of infant and child growth, followed by functional, pathway, genetic correlation, risk score, and colocalization analyses to determine how developmental timings, molecular pathways, and genetic determinants of these traits overlap...     »
Journal title abbreviation:
Sci Adv
Year:
2019
Journal volume:
5
Journal issue:
9
Fulltext / DOI:
doi:10.1126/sciadv.aaw3095
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/31840077
Print-ISSN:
2375-2548
TUM Institution:
Institut für Humangenetik
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