DBDS Genomic Cohort, a Prospective and Comprehensive Resource for Integrative and Temporal Analysis of Genetic, Environmental and Lifestyle Factors Affecting Health of Blood Donors

Overview

Journal BMJ Open

Specialty General Medicine

Date 2019 Jun 12

PMID 31182452

Citations 44

Authors

Thomas Folkmann Hansen

Karina Banasik

Christian Erikstrup

Ole Birger Pedersen

David Westergaard

Piotr Jaroslaw Chmura

Kaspar Nielsen

Lise Thorner

Henrik Hjalgrim

Helene Paarup

Margit Anita Horup Larsen

Mikkel Petersen

Poul Jennum

Steffen Andersen

Mette Nyegaard

Gregor Borut Ernst Jemec

Jes Olesen

Thomas Werge

Par I Johansson

Erik Sorensen

Soren Brunak

Henrik Ullum

Kristoffer Solvsten Burgdorf

Affiliations

Soon will be listed here.

Abstract

Purpose: To establish a cohort that enables identification of genomic factors that influence human health and empower increased blood donor health and safe blood transfusions. Human health is complex and involves several factors, a major one being the genomic aspect. The genomic era has resulted in many consortia encompassing large samples sizes, which has proven successful for identifying genetic factors associated with specific traits. However, it remains a big challenge to establish large cohorts that facilitate studies of the interaction between genetic factors, environmental and life-style factors as these change over the course of life. A major obstacle to such endeavours is that it is difficult to revisit participants to retrieve additional information and obtain longitudinal, consecutive measurements.

Participants: Blood donors (n=110 000) have given consent to participate in the Danish Blood Donor Study. The study uses the infrastructure of the Danish blood banks.

Findings To Date: The cohort comprises extensive phenotype data and whole genome genotyping data. Further, it is possible to retrieve additional phenotype data from national registries as well as from the donors at future visits, including consecutive measurements.

Future Plans: To provide new knowledge on factors influencing our health and thus provide a platform for studying the influence of genomic factors on human health, in particular the interaction between environmental and genetic factors.

Citing Articles

Disease coverage of human genome-wide association studies and pharmaceutical research and development.

Gordillo-Maranon M, Schmidt A, Warwick A, Tomlinson C, Ytsma C, Engmann J Commun Med (Lond). 2024; 4(1):195.

PMID: 39379679 PMC: 11461613. DOI: 10.1038/s43856-024-00625-5.

No association between migraine and HLA alleles in a cohort of 13,210 individuals with migraine from the Danish Blood Donor Study.

Tummoszeit I, Olofsson I, Chalmer M, Henriksen A, Aagaard B, Brunak S Headache. 2024; 65(1):124-131.

PMID: 39352055 PMC: 11726007. DOI: 10.1111/head.14784.

Uncovering the heritable components of multimorbidities and disease trajectories using a nationwide cohort.

Westergaard D, Jorgensen F, Waaben J, Jung A, Lademann M, Hansen T Nat Commun. 2024; 15(1):7457.

PMID: 39198472 PMC: 11358290. DOI: 10.1038/s41467-024-51795-8.

Homozygosity for a stop-gain variant in CCDC201 causes primary ovarian insufficiency.

Oddsson A, Steinthorsdottir V, Oskarsson G, Styrkarsdottir U, Moore K, Isberg S Nat Genet. 2024; 56(9):1804-1810.

PMID: 39192094 PMC: 11387189. DOI: 10.1038/s41588-024-01885-6.

Longitudinal metabolite and protein trajectories prior to diabetes mellitus diagnosis in Danish blood donors: a nested case-control study.

Lundgaard A, Westergaard D, Roder T, Burgdorf K, Larsen M, Schwinn M Diabetologia. 2024; 67(10):2289-2303.

PMID: 39078488 PMC: 11446992. DOI: 10.1007/s00125-024-06231-3.

References

Rigas A, Pedersen O, Magnussen K, Erikstrup C, Ullum H . Iron deficiency among blood donors: experience from the Danish Blood Donor Study and from the Copenhagen ferritin monitoring scheme. Transfus Med. 2017; 29 Suppl 1:23-27. DOI: 10.1111/tme.12477. View

Pedersen O, Axel S, Rostgaard K, Erikstrup C, Edgren G, Nielsen K . The heritability of blood donation: a population-based nationwide twin study. Transfusion. 2015; 55(9):2169-74. DOI: 10.1111/trf.13086. View

Sorensen E, Grau K, Berg T, Simonsen A, Magnussen K, Erikstrup C . A genetic risk factor for low serum ferritin levels in Danish blood donors. Transfusion. 2012; 52(12):2585-9. DOI: 10.1111/j.1537-2995.2012.03629.x. View

Steele W, Schreiber G, Guiltinan A, Nass C, Glynn S, Wright D . role of altruistic behavior, empathetic concern, and social responsibility motivation in blood donation behavior. Transfusion. 2007; 48(1):43-54. DOI: 10.1111/j.1537-2995.2007.01481.x. View

Theut Riis P, Pedersen O, Sigsgaard V, Erikstrup C, Paarup H, Nielsen K . Prevalence of patients with self-reported hidradenitis suppurativa in a cohort of Danish blood donors: a cross-sectional study. Br J Dermatol. 2018; 180(4):774-781. DOI: 10.1111/bjd.16998. View

Rigas A, Pedersen O, Sorensen E, Thorner L, Larsen M, Katz L . Frequent blood donation and offspring birth weight-a next-generation association?. Transfusion. 2018; 59(3):995-1001. DOI: 10.1111/trf.15072. View

Schmidt M, Schmidt S, Sandegaard J, Ehrenstein V, Pedersen L, Sorensen H . The Danish National Patient Registry: a review of content, data quality, and research potential. Clin Epidemiol. 2015; 7:449-90. PMC: 4655913. DOI: 10.2147/CLEP.S91125. View

Kaspersen K, Pedersen O, Petersen M, Hjalgrim H, Rostgaard K, Moller B . Obesity and risk of infection: results from the Danish Blood Donor Study. Epidemiology. 2015; 26(4):580-9. DOI: 10.1097/EDE.0000000000000301. View

Didriksen M, Allen R, Burchell B, Thorner L, Rigas A, Di Angelantonio E . Restless legs syndrome is associated with major comorbidities in a population of Danish blood donors. Sleep Med. 2018; 45:124-131. DOI: 10.1016/j.sleep.2018.02.007. View

10.

van der Harst P, Zhang W, Mateo Leach I, Rendon A, Verweij N, Sehmi J . Seventy-five genetic loci influencing the human red blood cell. Nature. 2012; 492(7429):369-75. PMC: 3623669. DOI: 10.1038/nature11677. View

11.

Kalia S, Adelman K, Bale S, Chung W, Eng C, Evans J . Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2016 update (ACMG SF v2.0): a policy statement of the American College of Medical Genetics and Genomics. Genet Med. 2016; 19(2):249-255. DOI: 10.1038/gim.2016.190. View

12.

Kotze S, Pedersen O, Petersen M, Sorensen E, Dinh K, Kaspersen K . Deferral for low hemoglobin is not associated with increased risk of infection in Danish blood donors. Transfusion. 2016; 57(3):571-577. DOI: 10.1111/trf.13931. View

13.

Warneken F, Tomasello M . The roots of human altruism. Br J Psychol. 2008; 100(Pt 3):455-71. DOI: 10.1348/000712608X379061. View

14.

Ullum H, Rostgaard K, Kamper-Jorgensen M, Reilly M, Melbye M, Nyren O . Blood donation and blood donor mortality after adjustment for a healthy donor effect. Transfusion. 2015; 55(10):2479-85. DOI: 10.1111/trf.13205. View

15.

Nielsen J, Roge R, Pristed S, Viuff A, Ullum H, Thorner L . Soluble urokinase-type plasminogen activator receptor levels in patients with schizophrenia. Schizophr Bull. 2014; 41(3):764-71. PMC: 4393680. DOI: 10.1093/schbul/sbu118. View

16.

Pedersen O, Erikstrup C, Kotze S, Sorensen E, Petersen M, Grau K . The Danish Blood Donor Study: a large, prospective cohort and biobank for medical research. Vox Sang. 2011; 102(3):271. DOI: 10.1111/j.1423-0410.2011.01553.x. View

17.

Eggertsson H, Jonsson H, Kristmundsdottir S, Hjartarson E, Kehr B, Masson G . Graphtyper enables population-scale genotyping using pangenome graphs. Nat Genet. 2017; 49(11):1654-1660. DOI: 10.1038/ng.3964. View

18.

McLaren C, Garner C, Constantine C, McLachlan S, Vulpe C, Snively B . Genome-wide association study identifies genetic loci associated with iron deficiency. PLoS One. 2011; 6(3):e17390. PMC: 3069025. DOI: 10.1371/journal.pone.0017390. View

19.

Tanaka T, Roy C, Yao W, Matteini A, Semba R, Arking D . A genome-wide association analysis of serum iron concentrations. Blood. 2009; 115(1):94-6. PMC: 2803694. DOI: 10.1182/blood-2009-07-232496. View

20.

Wang K, Li M, Hadley D, Liu R, Glessner J, Grant S . PennCNV: an integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data. Genome Res. 2007; 17(11):1665-74. PMC: 2045149. DOI: 10.1101/gr.6861907. View