Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
37295953
TITLE
Educational attainment, health outcomes and mortality: a within-sibship Mendelian randomization study.
ABSTRACT
BACKGROUND NlmCategory: BACKGROUND
Previous Mendelian randomization (MR) studies using population samples (population MR) have provided evidence for beneficial effects of educational attainment on health outcomes in adulthood. However, estimates from these studies may have been susceptible to bias from population stratification, assortative mating and indirect genetic effects due to unadjusted parental genotypes. MR using genetic association estimates derived from within-sibship models (within-sibship MR) can avoid these potential biases because genetic differences between siblings are due to random segregation at meiosis.
METHODS NlmCategory: METHODS
Previous Mendelian randomization (MR) studies using population samples (population MR) have provided evidence for beneficial effects of educational attainment on health outcomes in adulthood. However, estimates from these studies may have been susceptible to bias from population stratification, assortative mating and indirect genetic effects due to unadjusted parental genotypes. MR using genetic association estimates derived from within-sibship models (within-sibship MR) can avoid these potential biases because genetic differences between siblings are due to random segregation at meiosis. Applying both population and within-sibship MR, we estimated the effects of genetic liability to educational attainment on body mass index (BMI), cigarette smoking, systolic blood pressure (SBP) and all-cause mortality. MR analyses used individual-level data on 72 932 siblings from UK Biobank and the Norwegian HUNT study, and summary-level data from a within-sibship Genome-wide Association Study including >140 000 individuals.
RESULTS NlmCategory: RESULTS
Previous Mendelian randomization (MR) studies using population samples (population MR) have provided evidence for beneficial effects of educational attainment on health outcomes in adulthood. However, estimates from these studies may have been susceptible to bias from population stratification, assortative mating and indirect genetic effects due to unadjusted parental genotypes. MR using genetic association estimates derived from within-sibship models (within-sibship MR) can avoid these potential biases because genetic differences between siblings are due to random segregation at meiosis. Applying both population and within-sibship MR, we estimated the effects of genetic liability to educational attainment on body mass index (BMI), cigarette smoking, systolic blood pressure (SBP) and all-cause mortality. MR analyses used individual-level data on 72 932 siblings from UK Biobank and the Norwegian HUNT study, and summary-level data from a within-sibship Genome-wide Association Study including >140 000 individuals. Both population and within-sibship MR estimates provided evidence that educational attainment decreased BMI, cigarette smoking and SBP. Genetic variant-outcome associations attenuated in the within-sibship model, but genetic variant-educational attainment associations also attenuated to a similar extent. Thus, within-sibship and population MR estimates were largely consistent. The within-sibship MR estimate of education on mortality was imprecise but consistent with a putative effect.
CONCLUSIONS NlmCategory: CONCLUSIONS
Previous Mendelian randomization (MR) studies using population samples (population MR) have provided evidence for beneficial effects of educational attainment on health outcomes in adulthood. However, estimates from these studies may have been susceptible to bias from population stratification, assortative mating and indirect genetic effects due to unadjusted parental genotypes. MR using genetic association estimates derived from within-sibship models (within-sibship MR) can avoid these potential biases because genetic differences between siblings are due to random segregation at meiosis. Applying both population and within-sibship MR, we estimated the effects of genetic liability to educational attainment on body mass index (BMI), cigarette smoking, systolic blood pressure (SBP) and all-cause mortality. MR analyses used individual-level data on 72 932 siblings from UK Biobank and the Norwegian HUNT study, and summary-level data from a within-sibship Genome-wide Association Study including >140 000 individuals. Both population and within-sibship MR estimates provided evidence that educational attainment decreased BMI, cigarette smoking and SBP. Genetic variant-outcome associations attenuated in the within-sibship model, but genetic variant-educational attainment associations also attenuated to a similar extent. Thus, within-sibship and population MR estimates were largely consistent. The within-sibship MR estimate of education on mortality was imprecise but consistent with a putative effect. These results provide evidence of beneficial individual-level effects of education (or liability to education) on adulthood health, independently of potential demographic and family-level confounders.
© The Author(s) 2023. Published by Oxford University Press on behalf of the International Epidemiological Association.
DATE PUBLISHED
2023 Jun 09
HISTORY
PUBSTATUS PUBSTATUSDATE
received 2022/01/28
accepted 2023/05/12
medline 2023/06/10 15:14
pubmed 2023/06/10 15:14
entrez 2023/06/09 21:38
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Howe LJ Howe Laurence J LJ Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Rasheed H Rasheed Humaira H Department of Medicine and Laboratory Sciences, University of Oslo, Oslo, Norway.
Jones PR Jones Paul R PR Department of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.
Boomsma DI Boomsma Dorret I DI Amsterdam Public Health (APH) and Amsterdam Reproduction and Development (AR&D).
Evans DM Evans David M DM Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Giannelis A Giannelis Alexandros A Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
Hayward C Hayward Caroline C MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.
Hopper JL Hopper John L JL Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
Hughes A Hughes Amanda A Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Lahtinen H Lahtinen Hannu H Population Research Unit, University of Helsinki, Helsinki, Finland.
Li S Li Shuai S Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Lind PA Lind Penelope A PA Faculty of Medicine, University of Queensland, Brisbane, Australia.
Martin NG Martin Nicholas G NG Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Martikainen P Martikainen Pekka P Department of Public Health Sciences, Stockholm University, Sweden.
Medland SE Medland Sarah E SE School of Psychology, University of Queensland, Brisbane, Australia.
Morris TT Morris Tim T TT Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Nivard MG Nivard Michel G MG Department of Biological Psychology, Netherlands Twin Registry, Vrije Universiteit, Amsterdam, Netherlands.
Pingault JB Pingault Jean-Baptiste JB Department of Clinical, Educational and Health Psychology, University College London, London, UK.
Silventoinen K Silventoinen Karri K Population Research Unit, University of Helsinki, Helsinki, Finland.
Smith JA Smith Jennifer A JA Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
Willoughby EA Willoughby Emily A EA Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
Wilson JF Wilson James F JF Centre for Global Health Research, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, UK.
Within Family Consortium
Åsvold BO Åsvold Bjørn Olav BO Department of Endocrinology, Clinic of Medicine, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
Næss ØE Næss Øyvind E ŘE Norwegian Institute of Public Health, Oslo, Norway.
Davey Smith G Davey Smith George G Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Kaprio J Kaprio Jaakko J Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland.
Brumpton B Brumpton Ben B K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Davies NM Davies Neil M NM Department of Statistical Sciences, University College London, London, UK.
INVESTIGATORS
LASTNAME FORENAME INITIALS AFFILIATION
Ahlskog Rafael R
Andreassen Ole A OA
Ask Helga H
Campbell Archie A
Cheesman Rosa R
Cho Yoonsu Y
Christensen Kaare K
Corfield Elizabeth C EC
Dahm Christina C CC
Havdahl Alexandra A
Hill William D WD
Kerr Shona M SM
Latvala Antti A
Nygaard Marianne M
Palviainen Teemu T
Pedersen Nancy L NL
Plomin Robert R
Southey Melissa C MC
Stoltenberg Camilla C
JOURNAL
VOLUME:
ISSUE:
TITLE: International journal of epidemiology
ISOABBREVIATION: Int J Epidemiol
YEAR: 2023
MONTH: Jun
DAY: 09
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1464-3685
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Int J Epidemiol
COUNTRY: England
ISSNLINKING: 0300-5771
NLMUNIQUEID: 7802871
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
KEYWORD
Mendelian randomization
Within-sibship
educational attainment
mortality
MESH HEADINGS
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's